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Mauro Castelli received the PhD in Computer Science in 2012 by Università degli Studi di Milano-Bicocca Dipartimento Informatica Sistemistica e Comunicazione. He received the Master Degree in Computer Science in 2008/10 by Università degli Studi di Milano-Bicocca Dipartimento Informatica Sistemistica e Comunicazione and the Bechelor Degree in Computer Science in 2006/10 by Università degli Studi di Milano-Bicocca Dipartimento Informatica Sistemistica e Comunicazione. He is Associate Professor with aggregation at Universidade Nova de Lisboa, NOVA Information Management School. He has more than 130 articles in peer-reviewed journals and 60 articles in international conferences. He owns 12 book(s). He has received several award(s) and/or honors. He participated as a Researcher in nine projects and as Principal Investigator in four projects. He supervised more than 130 master's theses and nine doctoral theses. In his Science Vitae curriculum, the most frequent terms concerning his scientific production are: Geometric semantic genetic programming; Artificial Neural Networks; Genetic Programming; Semantic Learning Machine; Neurevolution; Semantic Search; Convolutional Neural Networks; Computer Vision; Image Classification; Deep Learning.
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Identification

Personal identification

Full name
Mauro Castelli

Citation names

  • Castelli, Mauro

Author identifiers

Ciência ID
3E14-342C-07DD
ORCID iD
0000-0002-8793-1451
Scopus Author Id
36052209100

Websites

Knowledge fields

  • Exact Sciences - Computer and Information Sciences

Languages

Language Speaking Reading Writing Listening Peer-review
Italian (Mother tongue)
Portuguese Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1)
English Advanced (C1) Proficiency (C2) Advanced (C1) Advanced (C1) Proficiency (C2)
Education
Degree Classification
2009/01/01 - 2012/02
Concluded
 PhD in Computer Science (Dottorato di Ricerca)
Università degli Studi di Milano-Bicocca Dipartimento Informatica Sistemistica e Comunicazione, Italy
2006/10 - 2008/10
Concluded
 Computer Science (Laurea Specialistica)
Università degli Studi di Milano-Bicocca Dipartimento Informatica Sistemistica e Comunicazione, Italy
2003/10 - 2006/10
Concluded
 Computer Science (Laurea)
Università degli Studi di Milano-Bicocca Dipartimento Informatica Sistemistica e Comunicazione, Italy
Affiliation

Science

Category
Host institution 		Employer
2012/03/01 - 2013/02/28 Postdoc (Research) Universidade de Lisboa Instituto Superior Técnico, Portugal

Teaching in Higher Education

Category
Host institution 		Employer
2019/08/30 - Current Associate Professor (University Teacher) Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2016 - 2019/08/29 Assistant Professor (University Teacher) Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2013/03/01 - 2016/08/31 Invited Assistant Professor (University Teacher) Universidade Nova de Lisboa, Portugal
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal

Positions / Appointments

Category
Host institution 		Employer
2021 - Current Director of the bachelor program in Data Sciences Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2018 - Current Member of the School Board Universidade NOVA de Lisboa, Portugal
2013 - Current Member of the Scientifc Council Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2016 - 2022 Pedagogical Council Universidade NOVA de Lisboa, Portugal
Projects

Contract

Designation Funders
2022 - Current AI4IA Artificial Intelligence for better regulation in Europe
TSI-2022-AI4IA-EU-IB
Principal investigator
European Commission - Directorate-General for Structural Reform Support
Ongoing
2019 - Current AI2A – Avaliação de Impacto e Inteligência Artificial
POCI-05-5762-FSE-000226
Principal investigator
Ongoing
2019 - Current Desenvolvimento de ferramentas de Inteligência Artificial para a definição de uma estratégia de predição do comportamento de Instrumentos de Medição
POCI-05-5762-FSE-000220
Principal investigator
Ongoing
2018 - Current Improving Bio-Inspired Deep Learning for Radiomics
PTDC/CCI-INF/29168/2017
Researcher
Fundação para a Ciência e a Tecnologia, Portugal
Ongoing
2019/08/31 - 2025/08/30 Não Disponível
CEECINST/00102/2018/CP1567/CT0016
10.54499/CEECINST/00102/2018/CP1567/CT0016
Universidade NOVA de Lisboa, Portugal
 Fundação para a Ciência e a Tecnologia
Ongoing
2020/01/01 - 2022/12/31 Data Science and Over-Indebtedness: Use of Artificial Intelligence Algorithms in Credit Consumption and Indebtedness Conciliation in Portugal
DSAIPA/DS/0113/2019
Researcher
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
 Fundação para a Ciência e a Tecnologia
Ongoing
2019 - 2022 Personalized therapy for Rheumatic Diseases via machine learning
PTDC/CCI-CIF/29877/2017
Researcher
Fundação para a Ciência e a Tecnologia
2019/01/01 - 2021/12/31 Online Gambling Addiction Detection
DSAIPA/DS/0022/2018
Principal investigator
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
 Fundação para a Ciência e a Tecnologia
Ongoing
2019/01/01 - 2021/12/31 Understanding the drivers of academic achievement: Evidence for Portugal’s high school system
DSAIPA/DS/0032/2018
Researcher
Fundação para a Ciência e a Tecnologia
2019/01/01 - 2019/12/31 Centro de Investigação em Gestão de Informação
UID/Multi/04152/2019
Universidade NOVA de Lisboa, Portugal

Universidade Nova de Lisboa MagIC, Portugal

Universidade NOVA de Lisboa NOVA Information Management School, Portugal
Fundação para a Ciência e a Tecnologia
Concluded
2019/01/01 - 2019/12/31 Instituto de Biosistemas & Ciências Integrativas
UID/Multi/04046/2019
FCiênciasID Associação para a Investigação e Desenvolvimento de Ciências, Portugal

Universidade de Lisboa Instituto de Biossistemas e Ciências Integrativas, Portugal

Instituto Nacional de Saúde Doutor Ricardo Jorge, Portugal

Universidade do Minho, Portugal

Universidade de Lisboa Faculdade de Ciências, Portugal

Fundação da Faculdade de Ciências da Universidade de Lisboa, Portugal

Universidade do Porto Faculdade de Ciências, Portugal
Fundação para a Ciência e a Tecnologia
Concluded
2013 - 2015 Improving Semantic Genetic Programming for Maritime Safety, Security and Environmental Protection
PTDC/EEI-CTP/2975/2012
Researcher
Fundação para a Ciência e a Tecnologia
2011 - 2013 EnviGP - Improving Genetic Programming for the Environment and Other Applications
PTDC/EIA-CCO/103363/2008
Researcher
Fundação para a Ciência e a Tecnologia
Concluded
Outputs

Publications

Book
  1. Mauro Castelli; Enrico Fallacara; Luca Manzoni. GADGET - Online Gambling Addiction Detection.. Instituto Superior de Estat{\'i. 2021.
  2. Mauro Castelli; Lukas Sekanina; Mengjie Zhang; Stefano Cagnoni; Pablo García-Sánchez. Genetic Programming. Springer. 2018.
    10.1007/978-3-319-77553-1
  3. Castelli, M.; Sekanina, L.; Zhang, M.; Cagnoni, S.; García-Sánchez, P.. Preface. 2018.
  4. McDermott, J.; Castelli, M.; Sekanina, L.; Haasdijk, E.; García-Sánchez, P.. Preface. 2017.
  5. James McDermott; Mauro Castelli; Lukas Sekanina; Evert Haasdijk; Pablo García-Sánchez. Genetic Programming. Springer. 2017.
  6. Re, A.; Castelli, M.; Vanneschi, L.. A comparison between representations for evolving images. 2016.
    10.1007/978-3-319-31008-4_12
  7. Heywood, M.I.; McDermott, J.; Castelli, M.; Costa, E.; Sim, K.. Preface. 2016.
  8. Heywood, M.I.; McDermott, J.; Castelli, M.; Costa, E.; Sim, K.. Genetic programming: 19th European conference, EuroGP 2016 Porto, Portugal, march 30 – April 1, 2016 proceedings. 2016.
    10.1007/978-3-319-30668-1
  9. Machado, P.; Heywood, M.I.; McDermott, J.; Castelli, M.; García-Sánchez, P.; Burelli, P.; Sim, K.. Preface. 2015.
    10.1007/978-3-319-16501-1
  10. Machado, P.; Heywood, M.I.; McDermott, J.; Castelli, M.; García-Sánchez, P.; Burelli, P.; Risi, S.; Sim, K.. Genetic programming 18th European conference, EuroGP 2015 Copenhagen, Denmark, april 8–10, 2015 proceedings. 2015.
  11. Nicolau, M.; Krawiec, K.; Heywood, M.I.; Castelli, M.; García-Sánchez, P.; Merelo, J.J.; Rivas Santos, V.M.; Sim, K.. Preface. 2014.
  12. Miguel Nicolau; Krzysztof Krawiec; Malcolm I. Heywood; Mauro Castelli; Pablo García-Sánchez; Juan J. Merelo; Victor M. Rivas Santos; Kevin Sim. Genetic Programming. Springer. 2014.
    10.1007/978-3-662-44303-3
Book chapter
  1. Ivo Gonçalves; Marta Seca; Mauro Castelli. "Explorations of the Semantic Learning Machine Neuroevolution Algorithm". In Dynamic Training Data Use, Ensemble Construction Methods, and Deep Learning Perspectives, edited by Banzhaf, {Wolfgang, 39-62. Springer, 2020.
    10.1007/978-3-030-39958-0_3
  2. Leonardo Trujillo; Emigdio Z-Flores; Perla S. Juárez-Smith; Pierrick Legrand; Sara Silva; Mauro Castelli; Leonardo Vanneschi; Oliver Schütze; Luis Muñoz. "Local Search is Underused in Genetic Programming". edited by Riolo, {Rick, 119-137. Springer, 2018.
    10.1007/978-3-319-97088-2_8
  3. Roberto Henriques; Sara Ribeiro; Mauro Castelli. "Modelo de otimização". edited by Teresa Rodrigues; Painho, {Marco, 281-302. Fronteira do Caos, 2018.
  4. Mauro Castelli; Leonardo Vanneschi; Sara Silva; Stefano Ruberto. "How to Exploit Alignment in the Error Space". In Two Different GP Models, 133-148. Springer, 2015.
    10.1007/978-3-319-16030-6_8
  5. Francesco Archetti; Mauro Castelli; Ilaria Giordani; Leonardo Vanneschi. "Classification of Colon Tumor Tisuues using Genetic Programming". 49-58. 2010.
Conference paper
  1. Gloria Pietropolli; Federico Julian Camerota Verdù; Luca Manzoni; Mauro Castelli. "Parametrizing GP Trees for Better Symbolic Regression Performance through Gradient Descent.". 2023.
    10.1145/3583133.3590574
  2. José Ferreira; Mauro Castelli; Luca Manzoni; Gloria Pietropolli. "A Self-Adaptive Approach to Exploit Topological Properties of Different GAs’ Crossover Operators". 2023.
    10.1007/978-3-031-29573-7_1
  3. Ricardo Costa-Mendes; Frederico Cruz-Jesus; Oliveira T.; Mauro Castelli. "Academic achievement critical factors and the bias and variance decomposition". 2022.
  4. Illya Bakurov; Marco Buzzelli; Mauro Castelli; Raimondo Schettini; Leonardo Vanneschi. "Genetic programming for structural similarity design at multiple spatial scales". 2022.
    10.1145/3512290.3528783
  5. Gloria Pietropolli; Luca Manzoni; Alessia Paoletti; Mauro Castelli. "Combining Geometric Semantic GP with Gradient-Descent Optimization". 2022.
    10.1007/978-3-031-02056-8_2
  6. Mário Ferreira; Diego COSTA PINTO; Márcia Maurer Herter; Jerônimo Soro; Leonardo Vanneschi; Mauro Castelli; Fernando Peres. "Fighting Over-Indebtedness: An Artificial Intelligence Approach: An Abstract". 2022.
    10.1007/978-3-030-89883-0_158
  7. Luis Madureira; Aleš Popovic; Mauro Castelli. "Competitive Intelligence Empirical Construct Validation Using Expert In-Depth Interviews Study". 2021.
    10.1109/ICTMOD52902.2021.9739422
  8. Pedro José Benevides; Nuno Silva; Hugo Costa; Francisco D. Moreira; Daniel Moraes; Mauro Castelli; Mario Caetano. "Land cover mapping at national scale with Sentinel-2 and LUCAS: a case study in Portugal". 2021.
    10.1117/12.2598789
  9. Domagoj Jakobovic; Luca Manzoni; Luca Mariot; Stjepan Picek; Mauro Castelli. "CoInGP". 2021.
    10.1145/3449639.3459346
  10. Mauro Castelli; Riccardo Dondi; Mohammad Mehdi Hosseinzadeh. "Genetic algorithms for finding episodes in temporal networks". 2020.
    10.1016/j.procs.2020.08.023
  11. Illya Bakurov; Marco Buzzelli; Mauro Castelli; Raimondo Schettini; Leonardo Vanneschi. "Parameters optimization of the Structural Similarity Index". 2020.
    10.2352/issn.2694-118X.2020.LIM-13
  12. Luca Manzoni; Domagoj Jakobovic; Luca Mariot; Stjepan Picek; Mauro Castelli. "Towards an evolutionary-based approach for natural language processing". 2020.
    10.1145/3377930.3390248
  13. L. L. Custode; C. L. Tecce; I. Bakurov; Mauro Castelli; A. Della Cioppa; Leonardo Vanneschi; Castelli, Mauro; et al. "A Greedy Iterative Layered Framework for Training Feed Forward Neural Networks". Paper presented in EUROGP 2020 - European Conference on Genetic Programming, 2020.
    10.1007/978-3-030-43722-0_33
  14. Luis Madureira; Mauro Castelli; Aleš Popovic. "Design thinking". 2019.
  15. Illya Bakurov; Mauro Castelli; Leonardo Vanneschi; Maria João Freitas. "Supporting Medical Decisions for Treating Rare Diseases Through Genetic Programming". 2019.
    10.1007/978-3-030-16692-2_13
  16. Re, A.; Vanneschi, L.; Castelli, M.. "Universal learning machine with genetic programming". 2019.
    10.5220/0007808101150122
  17. Bakurov, I.; Castelli, M.; Fontanella, F.; Vanneschi, L.. "A regression-like classification system for geometric semantic genetic programming". 2019.
  18. Lapa, P.; Rundo, L.; Gonçalves, I.; Castelli, M.. "Semantic learning machine improves the CNN-based detection of prostate cancer in non-contrast-enhanced MRI". 2019.
    10.1145/3319619.3326864
  19. Lapa, P.; Rundo, L.; Gonçalves, I.; Castelli, M.. "Enhancing classification performance of convolutional neural networks for prostate cancer detection on magnetic resonance images: A study with the semantic learning machine". 2019.
    10.1145/3319619.3322035
  20. Castelli, M.; Dondi, R.; Manzoni, S.; Mauri, G.; Zoppis, I.. "Top k 2-clubs in a network: A genetic algorithm". Paper presented in ICCS 2019 - International Conference on Computational Science, 2019.
    10.1007/978-3-030-22750-0_63
  21. Castelli, M.; Manzoni, L.; Mariot, L.; Saletta, M.. "Extending local search in geometric semantic genetic programming". Paper presented in EPIA Conference on Artificial Intelligence, 2019.
    10.1007/978-3-030-30241-2_64
  22. Giansanti, V.; Castelli, M.; Beretta, S.; Merelli, I.. "Comparing Deep and Machine Learning Approaches in Bioinformatics: A miRNA-Target Prediction Case Study". Paper presented in ICCS 2019 - International Conference on Computational Science, 2019.
    10.1007/978-3-030-22744-9_3
  23. Castelli, M.; Gonçalves, I.; Manzoni, L.; Vanneschi, L.. "Pruning techniques for mixed ensembles of genetic programming models". Paper presented in EUROGP 2018 - European Conference on Genetic Programming, 2018.
    10.1007/978-3-319-77553-1_4
  24. Bakurov, I.; Vanneschi, L.; Castelli, M.; Fontanella, F.. "EDDA-V2 – an improvement of the evolutionary demes despeciation algorithm". Paper presented in International Conference on Parallel Problem Solving from Nature, 2018.
    10.1007/978-3-319-99253-2_15
  25. Vanneschi, L.; Scott, K.; Castelli, M.; Scott, Kristen Marie. "A multiple expression alignment framework for genetic programming". Paper presented in EUROGP 2018 - European Conference on Genetic Programming, 2018.
    10.1007/978-3-319-77553-1_11
  26. Jagusch, J.-B.; Gonçalves, I.; Castelli, M.; Jagusch, Jan-Benedikt. "Neuroevolution under unimodal error landscapes: An exploration of the semantic learning machine algorithm". 2018.
    10.1145/3205651.3205778
  27. Castelli, M.; Dondi, R.; Mauri, G.; Zoppis, I.; Castelli, Mauro; Dondi, Riccardo; Mauri, Giancarlo; Zoppis, Italo; NOVA Information Management School (NOVA IMS). "The longest filled common subsequence problem". 2017.
    10.4230/LIPIcs.CPM.2017.14
  28. Goribar-Jimenez, C.; Maldonado, Y.; Trujillo, L.; Castelli, M.; Goncalves, I.; Vanneschi, L.. "Towards the development of a complete GP system on an FPGA using geometric semantic operators". 2017.
    10.1109/CEC.2017.7969537
  29. Vanneschi, L.; Bakurov, I.; Castelli, M.. "An initialization technique for geometric semantic GP based on demes evolution and despeciation". 2017.
    10.1109/CEC.2017.7969303
  30. Vanneschi, L.; Castelli, M.; Goncalves, I.; Manzoni, L.; Silva, S.. "Geometric semantic genetic programming for biomedical applications: A state of the art upgrade". 2017.
    10.1109/CEC.2017.7969311
  31. Gongalves, I.; Fonseca, C.M.; Silva, S.; Castelli, M.. "Unsure when to stop? Ask your semantic neighbors". 2017.
    10.1145/3071178.3071328
  32. Vanneschi, L.; Castelli, M.; Moraglio, A.; Manzoni, L.; Silva, S.; Krawiec, K.; Gonçalves, I.. "PSXO – Population-wide semantic crossover". 2017.
    10.1145/3067695.3076003
  33. Gonçalves, I.; Silva, S.; Fonseca, C.M.; Castelli, M.. "Arbitrarily close alignments in the error space: A geometric semantic genetic programming approach". 2016.
    10.1145/2908961.2908988
  34. Beretta, S.; Castelli, M.; Martinez, Y.; Munoz, L.; Silva, S.; Trujillo, L.; Milanesi, L.; Merelli, I.. "A Machine Learning Approach for the Integration of miRNA-Target Predictions". 2016.
    10.1109/PDP.2016.125
  35. Castelli, M.; Manzoni, L.; Gonçalves, I.; Vanneschi, L.; Trujillo, L.; Silva, S.. "An analysis of geometric semantic crossover: A computational geometry approach". 2016.
    10.5220/0006056402010208
  36. Beretta, S.; Cannataro, M.; Castelli, M.. "9thworkshop on biomedical and bioinformatics challenges for computer science - BBC2016". 2016.
    10.1016/j.procs.2016.05.390
  37. Beretta, Stefano; Castelli, Mauro; Gonçalves, Ivo; Merelli, Ivan; Ramazzotti, Daniele; NOVA Information Management School (NOVA IMS); Beretta, S.; et al. "Combining Bayesian approaches and evolutionary techniques for the inference of breast cancer networks". 2016.
    https://doi.org/10.5220/0006064102170224
  38. Castelli, M.; Silva, S.; Trujillo, L.; Z-Flores, E.; Vanneschi, L.; Legrand, P.. "Geometric semantic genetic programming with local search". 2015.
    10.1145/2739480.2754795
  39. Castelli, M.; De Felice, M.; Manzoni, L.; Vanneschi, L.. "Electricity demand modelling with genetic programming". Paper presented in 17th EPIA Conference on Artificial Intelligence, 2015.
    10.1007/978-3-319-23485-4_22
  40. Vanneschi, L.; Castelli, M.; Costa, E.; Re, A.; Vaz, H.; Lobo, V.; Urbano, P.. "Improving maritime awareness with semantic genetic programming and linear scaling: Prediction of vessels position based on AIS data". Paper presented in 18th European Conference on the Application of Evolutionary Computation (EvoApps 2015), 2015.
    10.1007/978-3-319-16549-3_59
  41. Castelli, M.; Vanneschi, L.. "A hybrid Harmony search algorithm with variable neighbourhood search for the bin-packing problem". 2014.
    10.1109/NaBIC.2014.6921849
  42. Ingalalli, V.; Silva, S.; Castelli, M.; Vanneschi, L.. "A multi-dimensional genetic programming approach for multi-class classification problems". Paper presented in EuroGP 2014 - European Conference on Genetic Programming, 2014.
    10.1007/978-3-662-44303-3_5
  43. Ruberto, S.; Vanneschi, L.; Castelli, M.; Silva, S.. "ESAGP – A semantic GP framework based on alignment in the error space". 2014.
    10.1007/978-3-662-44303-3_13
  44. Castelli, Mauro; Beretta, S.; Vanneschi, Leonardo. "A Hybrid Genetic Algorithm for a Longest Common Subsequence Problem Variant". Paper presented in EPIA, 2013, 2013.
  45. McDermott, James; White, David R.; Luke, Sean; Manzoni, Luca; Castelli, Mauro; Vanneschi, Leonardo; Jaskowski, Wojciech; et al. "Genetic programming needs better benchmarks". 2012.
    10.1145/2330163.2330273
  46. Castelli, Mauro; Manzoni, Luca; Vanneschi, Leonardo. "Reinsertion of Old Genetic Material: Second Chance GP". Paper presented in Annual Portuguese Conference on Artificial Intelligence, EPIA, 2011, 2011.
    Published
  47. Archetti, Francesco; Giordani, E. Messina; Vanneschi, Leonardo; Castelli, Mauro. "Genetic programming for feature extraction in supervised learning". Paper presented in EURO XXIV, 2010.
    Published
Dictionary entry
  1. Leonardo Vanneschi; Mauro Castelli. "Delta rule and backpropagation". In Encyclopedia of Bioinformatics and Computational Biology, edited by Shoba Ranganathan; Michael Gribskov; Kenta Nakai; Christian Sch{\. Elsevier, 2019. https://novaresearch.unl.pt/en/publications/ff10ea16-6f1e-457c-8766-a869ff63565b.
    10.1016/B978-0-12-809633-8.20340-3
  2. Mauro Castelli; Leonardo Vanneschi; Alvaro Rubio-Largo. "Supervised learning". In Classification, edited by Shoba Ranganathan; Michael Gribskov; Kenta Nakai; Christian Sch{\. Elsevier, 2019. https://novaresearch.unl.pt/en/publications/0f70a8d1-6987-4552-b2c1-d8c9d2179933.
    10.1016/B978-0-12-809633-8.20332-4
  3. Leonardo Vanneschi; Mauro Castelli. "Multilayer perceptrons". In Encyclopedia of Bioinformatics and Computational Biology, edited by Shoba Ranganathan; Michael Gribskov; Kenta Nakai; Christian Sch{\. Elsevier, 2019. https://novaresearch.unl.pt/en/publications/6debd367-96f9-462d-ae6a-ee358d5a0b0f.
    10.1016/B978-0-12-809633-8.20339-7
Journal article
  1. Francesco Marchetti; Gloria Pietropolli; Federico Julian Camerota Verdù; Mauro Castelli; Edmondo Minisci. "Automatic design of interpretable control laws through parametrized Genetic Programming with adjoint state method gradient evaluation". Applied Soft Computing (2024): https://doi.org/10.1016/j.asoc.2024.111654.
    10.1016/j.asoc.2024.111654
  2. Cristiana Fiscone; Giovanni Sighinolfi; David Neil Manners; Lorenzo Motta; Greta Venturi; Ivan Panzera; Fulvio Zaccagna; et al. "Multiparametric MRI dataset for susceptibility-based radiomic feature extraction and analysis". Scientific Data 11 (2024): 1-11. https://novaresearch.unl.pt/en/publications/eaf74bd3-de98-45d8-a2c8-6748d71f31af.
    10.1038/s41597-024-03418-6
  3. Illya Bakurov; José Manuel Muñoz Contreras; Mauro Castelli; Nuno Miguel Duarte Rodrigues; Sara Silva; Leonardo Trujillo; Leonardo Vanneschi. "Geometric Semantic Genetic Programming with Normalized and Standardized Random Programs". Genetic Programming And Evolvable Machines 25 (2024): 1-29. https://novaresearch.unl.pt/en/publications/d17ffdab-dc58-4c99-a5f7-f787b0d1fd7a.
    10.1007/s10710-024-09479-1
  4. Victor Costa; Pedro Coelho; Mauro Castelli. "Artificial Intelligence for Impact Assessment of Administrative Burdens". Emerging Science Journal (2024): https://doi.org/10.28991/ESJ-2024-08-01-019.
    10.28991/ESJ-2024-08-01-019
  5. Andrea Tonini; Marco Painho; Mauro Castelli. "Method for Estimating Targets’ Dimensions Using Aerial Surveillance Cameras". IEEE Sensors Journal (2023): https://doi.org/10.1109/JSEN.2023.3325725.
    10.1109/JSEN.2023.3325725
  6. Illya Bakurov; Marco Buzzelli; Raimondo Schettini; Mauro Castelli; Leonardo Vanneschi. "Semantic Segmentation Network Stacking with Genetic Programming". Genetic Programming And Evolvable Machines 24 2 Special (2023): 1-37. https://novaresearch.unl.pt/en/publications/3f015b11-2459-41c0-8c1d-9dca7412d486.
    10.1007/s10710-023-09464-0
  7. Frederico J.J.B. Santos; Ivo Gonçalves; Mauro Castelli. "Neuroevolution with box mutation: An adaptive and modular framework for evolving deep neural networks". Applied Soft Computing (2023): https://doi.org/10.1016/j.asoc.2023.110767.
    10.1016/j.asoc.2023.110767
  8. Francisco Cruz; Mauro Castelli. "Learning Curves Prediction for a Transformers-Based Model". Emerging Science Journal (2023): https://doi.org/10.28991/ESJ-2023-07-05-03.
    10.28991/ESJ-2023-07-05-03
  9. Cristiana Fiscone; Leonardo Rundo; Alessandra Lugaresi; David neil Manners; Kieren Allinson; Elisa Baldin; Gianfranco Vornetti; et al. "Assessing robustness of quantitative susceptibility-based MRI radiomic features in patients with multiple sclerosis". Scientific Reports 13 1 (2023): 1-16. https://novaresearch.unl.pt/en/publications/6035a55f-bdd4-4bec-ab48-eb1c3b971aa5.
    10.1038/s41598-023-42914-4
  10. Luis Madureira; Aleš Popovic; Mauro Castelli. "Competitive intelligence empirical validation and application". Journal of Information Science (2023): https://novaresearch.unl.pt/en/publications/67c07937-69ef-4db4-88de-d57a7ac6fbfa.
    10.1177/01655515231191221
  11. Gloria Pietropolli; Giuliamaria Menara; Mauro Castelli. "A Genetic Programming Based Heuristic to Simplify Rugged Landscapes Exploration". Emerging Science Journal (2023): https://doi.org/10.28991/ESJ-2023-07-04-01.
    10.28991/ESJ-2023-07-04-01
  12. Catarina Nunes; Tiago Oliveira; Mauro Castelli; Frederico Cruz-Jesus. "Determinants of academic achievement: How parents and teachers influence high school students’ performance". Heliyon (2023): https://doi.org/10.1016/j.heliyon.2023.e13335.
    10.1016/j.heliyon.2023.e13335
  13. Daniel Philippi; Kai Rothaus; Mauro Castelli. "A vision transformer architecture for the automated segmentation of retinal lesions in spectral domain optical coherence tomography images". Scientific Reports 13 1 (2023): 1-14. https://novaresearch.unl.pt/en/publications/0f63b99e-6f56-4ae2-a868-9aa3251feb61.
    10.1038/s41598-023-27616-1
  14. Illya Bakurov; Marco Buzzelli; Raimondo Schettini; Mauro Castelli; Leonardo Vanneschi. "Full-Reference Image Quality Expression via Genetic Programming". IEEE Transactions on Image Processing (2023): https://doi.org/10.1109/TIP.2023.3244662.
    10.1109/TIP.2023.3244662
  15. Andrea Tonini; Marco Painho; Mauro Castelli. "Estimation of Human Body Height Using Consumer-Level UAVs". Remote Sensing (2022): https://doi.org/10.3390/rs14236176.
    10.3390/rs14236176
  16. Carina Albuquerque; Roberto Henriques; Mauro Castelli. "A stacking-based artificial intelligence framework for an effective detection and localization of colon polyps". Scientific Reports 12 1 (2022): 1-12. https://novaresearch.unl.pt/en/publications/cd77bcdf-96f1-4804-93d7-edb257da55e5.
    10.21203/rs.3.rs-1862362/v1
  17. Mauro Castelli; Diego Costa Pinto; Saleh Shuqair; Davide Montali; Leonardo Vanneschi. "The Benefits of Automated Machine Learning in Hospitality: A Step-By-Step Guide and AutoML Tool". Emerging Science Journal (2022): https://doi.org/10.28991/ESJ-2022-06-06-02.
    10.28991/ESJ-2022-06-06-02
  18. Catarina Nunes; Ana Beatriz-Afonso; Frederico Cruz-Jesus; Oliveira T.; Mauro Castelli. "Mathematics and Mother Tongue Academic Achievement". Emerging Science Journal 6 Special Is (2022): 137-149. https://novaresearch.unl.pt/en/publications/ee3fa29f-2565-48fa-b1a3-588d6d5b5e73.
    10.28991/ESJ-2022-SIED-010
  19. Ricardo Costa-Mendes; Frederico Cruz-Jesus; Oliveira T.; Mauro Castelli. "Deep Learning in Predicting High School Grades". Emerging Science Journal 6 Special Is (2022): 166-187. https://novaresearch.unl.pt/en/publications/029a9214-4ca4-45e0-a036-bd8ae575b83a.
    10.28991/ESJ-2022-SIED-012
  20. Christian di Noia; James T. Grist; Frank Riemer; Maria Lyasheva; Miriana Fabozzi; Mauro Castelli; Raffaele Lodi; et al. "Predicting Survival in Patients with Brain Tumors: Current State-of-the-Art of AI Methods Applied to MRI". Diagnostics (2022): https://doi.org/10.3390/diagnostics12092125.
    10.3390/diagnostics12092125
  21. Mauro Castelli. "Special Issue: Deep Learning and Neuro-Evolution Methods in Biomedicine and Bioinformatics". Applied Sciences (2022): https://doi.org/10.3390/app12157924.
    10.3390/app12157924
  22. Roberto Henriques; Adria Ferreira; Mauro Castelli. "A Use Case of Patent Classification Using Deep Learning with Transfer Learning". Journal of Data and Information Science 7 3 (2022): 49-70. https://novaresearch.unl.pt/en/publications/3f29ed98-2b31-4748-92d8-11a93ecab67f.
    10.2478/jdis-2022-0015
  23. Ibrahem Kandel; Mauro Castelli; Luca Manzoni. "Brightness as an Augmentation Technique for Image Classification". Emerging Science Journal 6 4 (2022): 881-892. https://novaresearch.unl.pt/en/publications/ffe14353-fe4e-4937-9b30-037de6636a08.
    10.28991/ESJ-2022-06-04-015
  24. Andronicus A. Akinyelu; Fulvio Zaccagna; James T. Grist; Mauro Castelli; Leonardo Rundo. "Brain Tumor Diagnosis Using Machine Learning, Convolutional Neural Networks, Capsule Neural Networks and Vision Transformers, Applied to MRI: A Survey". Journal of Imaging (2022): https://doi.org/10.3390/jimaging8080205.
    10.3390/jimaging8080205
  25. Leonardo Trujillo; Jose Manuel Muñoz Contreras; Daniel E. Hernandez; Mauro Castelli; Juan J. Tapia. "GSGP-CUDA: A CUDA framework for Geometric Semantic Genetic Programming". SoftwareX 18 (2022): 1-7. https://novaresearch.unl.pt/en/publications/f45ab250-dc7f-46fe-8049-600e5a6b0f7a.
    10.1016/j.softx.2022.101085
  26. Mauro Castelli; Luca Manzoni; Luca Mariot; Giuliamaria Menara; Gloria Pietropolli. "The Effect of Multi-Generational Selection in Geometric Semantic Genetic Programming". Applied Sciences (2022): https://doi.org/10.3390/app12104836.
    10.3390/app12104836
  27. Mauro Castelli; Luca Manzoni. "Special Issue: Generative Models in Artificial Intelligence and Their Applications". Applied Sciences 12 9 (2022): 4127-4127. https://doi.org/10.3390/app12094127.
    10.3390/app12094127
  28. Catarina Nunes; Tiago Oliveira; Fernando de Oliveira Santini; Mauro Castelli; Frederico Cruz-Jesus. "A Weight and Meta-Analysis on the Academic Achievement of High School Students". Education Sciences 12 5 (2022): 287-287. https://doi.org/10.3390/educsci12050287.
    10.3390/educsci12050287
  29. Illya Bakurov; Mauro Castelli; F. Fontanella; A. Scotto Di Freca; Leonardo Vanneschi. "A novel binary classification approach based on geometric semantic genetic programming". Swarm and Evolutionary Computation 69 March (2022): 1-12. https://novaresearch.unl.pt/en/publications/9722ba1d-e255-4b84-901d-c9f9fb2ebc2a.
    10.1016/j.swevo.2021.101028
  30. Illya Bakurov; Marco Buzzelli; Raimondo Schettini; Mauro Castelli; Leonardo Vanneschi. "Structural similarity index (SSIM) revisited: A data-driven approach". Expert Systems with Applications 189 (2022): 116087-116087. https://doi.org/10.1016/j.eswa.2021.116087.
    10.1016/j.eswa.2021.116087
  31. Mauro Castelli; Luca Manzoni; Luca Mariot; Marco S. Nobile; Andrea Tangherloni. "Salp Swarm Optimization: A critical review". Expert Systems with Applications 189 (2022): 116029-116029. https://doi.org/10.1016/j.eswa.2021.116029.
    10.1016/j.eswa.2021.116029
  32. Pedro Guerra; Mauro Castelli; Nadine Côrte-Real. "Approaching European Supervisory Risk Assessment with SupTech: A Proposal of an Early Warning System". Risks (2022): https://www.mdpi.com/2227-9091/10/4/71.
    10.3390/risks10040071
  33. Pedro Guerra; Mauro Castelli; Nadine Côrte-Real. "Machine learning for liquidity risk modelling: A supervisory perspective". Economic Analysis and Policy (2022): https://doi.org/10.1016/j.eap.2022.02.001.
    10.1016/j.eap.2022.02.001
  34. Erick Costa de Farias; Christian Di Noia; Changhee Han; Evis Sala; Mauro Castelli; Leonardo Rundo. "Impact of GAN-based lesion-focused medical image super-resolution on the robustness of radiomic features". Scientific Reports 11 1 (2021): 1-12. https://novaresearch.unl.pt/en/publications/7730f823-1e5d-4b74-b0ea-974ee28278b2.
    10.1038/s41598-021-00898-z
  35. Luis Madureira; Aleš Popovic; Mauro Castelli. "Competitive intelligence". Technological Forecasting and Social Change 173 (2021): 1-17. https://novaresearch.unl.pt/en/publications/b2764a02-6863-4600-82c7-cfbd0ad61039.
    10.1016/j.techfore.2021.121086
  36. Ibrahem Kandel; Mauro Castelli. "Improving convolutional neural networks performance for image classification using test time augmentation". Health information science and systems 9 1 (2021): 1-22. https://novaresearch.unl.pt/en/publications/5fc6bdd4-2841-4022-8894-840f6f92a0d0.
    10.1007/s13755-021-00163-7
  37. Carina Albuquerque; Yan Chai Hum; Leonardo Vanneschi; Roberto Henriques; Mauro Castelli; Vanda Póvoa; Rita Fior; Nickolas Papanikolaou. "Object detection for automatic cancer cell counting in zebrafish xenografts". PLOS ONE (2021): https://doi.org/10.1371/journal.pone.0260609.
    10.1371/journal.pone.0260609
  38. Mauro Castelli; Hongzhi Guo; Luca Manzoni; Tatiane Espindola; Aleš Popovic; Andrea De Lorenzo. "Generative adversarial networks for generating synthetic features for Wi-Fi signal quality". PLOS ONE (2021): https://doi.org/10.1371/journal.pone.0260308.
    10.1371/journal.pone.0260308
  39. Ricardo Costa-Mendes; Frederico Cruz-Jesus; Oliveira T.; Mauro Castelli. "Machine learning bias in predicting high school grades". Emerging Science Journal 5 5 (2021): 576-597. https://novaresearch.unl.pt/en/publications/8a7d076d-0bd6-47ea-9887-dfb99672e5f5.
    10.28991/esj-2021-01298
  40. Alfredo Raglio; Mauro Castelli; Luca Manzoni; Francisco Vigo. "Cosa succede se la musica algoritmica incontra la medicina [What happens if algorithmic music meets medicine]". Giornale Italiano di Medicina del Lavoro ed Ergonomia 43 4 (2021): 379-381. https://novaresearch.unl.pt/en/publications/a44710b0-aa68-496b-b88d-c273c0241fa7.
  41. Alfredo Raglio; Paola Baiardi; Giuseppe Vizzari; Marcello Imbriani; Mauro Castelli; Sara Manzoni; Francisco Vico; Luca Manzoni. "Algorithmic Music for Therapy: Effectiveness and Perspectives". Applied Sciences (2021): https://doi.org/10.3390/app11198833.
    10.3390/app11198833
  42. Leonardo Vanneschi; Mauro Castelli. "Soft target and functional complexity reduction". Expert Systems with Applications 177 (2021): 1-11. https://novaresearch.unl.pt/en/publications/ffae247e-09e4-4bd8-bb5b-dcfb33354273.
    10.1016/j.eswa.2021.114929
  43. Illya Bakurov; Mauro Castelli; Olivier Gau; Francesco Fontanella; Leonardo Vanneschi. "Genetic programming for stacked generalization". Swarm and Evolutionary Computation 65 (2021): 1-14. https://novaresearch.unl.pt/en/publications/68e1c4ba-3971-422e-a2ed-6d895bda6ed0.
    10.1016/j.swevo.2021.100913
  44. Pedro Guerra; Mauro Castelli. "Machine Learning Applied to Banking Supervision a Literature Review". Risks 9 7 (2021): 136-136. https://doi.org/10.3390/risks9070136.
    10.3390/risks9070136
  45. Fernando Peres; Mauro Castelli. "Combinatorial Optimization Problems and Metaheuristics: Review, Challenges, Design, and Development". Applied Sciences 11 14 (2021): 6449-6449. https://doi.org/10.3390/app11146449.
    10.3390/app11146449
  46. Ibrahem Kandel; Mauro Castelli; Aleš Popovic. "Comparing Stacking Ensemble Techniques to Improve Musculoskeletal Fracture Image Classification". Journal of Imaging (2021): https://doi.org/10.3390/jimaging7060100.
    10.3390/jimaging7060100
  47. Illya Bakurov; Marco Buzzelli; Mauro Castelli; Leonardo Vanneschi; Raimondo Schettini. "General Purpose Optimization Library (GPOL): A Flexible and Efficient Multi-Purpose Optimization Library in Python". Applied Sciences 11 11 (2021): 4774-4774. https://doi.org/10.3390/app11114774.
    10.3390/app11114774
  48. Fernando Peres; Enrico Fallacara; Luca Manzoni; Mauro Castelli; Aleš Popovic; Miguel Rodrigues; Pedro Estevens. "Time Series Clustering of Online Gambling Activities for Addicted Users’ Detection". Applied Sciences 11 5 (2021): 2397-2397. https://doi.org/10.3390/app11052397.
    10.3390/app11052397
  49. Ibrahem Kandel; Mauro Castelli. "The effect of batch size on the generalizability of the convolutional neural networks on a histopathology dataset". ICT Express 6 4 (2020): 312-315. https://novaresearch.unl.pt/en/publications/5e471c85-ad3a-43cc-a8ec-fca19a9678f7.
    10.1016/j.icte.2020.04.010
  50. Ibrahem Kandel; Mauro Castelli; Aleš Popovic. "Musculoskeletal Images Classification for Detection of Fractures Using Transfer Learning". Journal of Imaging 6 11 (2020): 127-127. https://doi.org/10.3390/jimaging6110127.
    10.3390/jimaging6110127
  51. Andrea Tonini; Paula Redweik; Marco Painho; Mauro Castelli. "Remote Estimation of Target Height from Unmanned Aerial Vehicle (UAV) Images". Remote Sensing (2020): https://doi.org/10.3390/rs12213602.
    10.3390/rs12213602
  52. Mário Boto Ferreira; Diego COSTA PINTO; Márcia Maurer Herter; Jerônimo Soro; Leonardo Vanneschi; Mauro Castelli; Fernando Peres. "Using artificial intelligence to overcome over-indebtedness and fight poverty". Journal of Business Research (2020): 1-15. https://novaresearch.unl.pt/en/publications/6e3f336c-b41d-41bd-845c-d3dc56f0d1c6.
    10.1016/j.jbusres.2020.10.035
  53. Luca Manzoni; Alberto Bartoli; Mauro Castelli; Ivo Goncalves; Eric Medvet. "Specializing Context-Free Grammars With a (1 + 1)-EA". IEEE Transactions on Evolutionary Computation 24 5 (2020): 960-973. https://doi.org/10.1109/TEVC.2020.2983664.
    10.1109/TEVC.2020.2983664
  54. Ahmed Abdelaziz; Maria Anastasiadou; Mauro Castelli. "A Parallel Particle Swarm Optimisation for Selecting Optimal Virtual Machine on Cloud Environment". Applied Sciences (2020): https://doi.org/10.3390/app10186538.
    10.3390/app10186538
  55. Ibrahem Kandel; Mauro Castelli; Aleš Popovic. "Comparative Study of First Order Optimizers for Image Classification Using Convolutional Neural Networks on Histopathology Images". Journal of Imaging 6 9 (2020): 92-92. https://doi.org/10.3390/jimaging6090092.
    10.3390/jimaging6090092
  56. Ricardo Costa-Mendes; Tiago Oliveira; Mauro Castelli; Frederico Cruz-Jesus. "A machine learning approximation of the 2015 Portuguese high school student grades: A hybrid approach". Education and Information Technologies (2020): https://doi.org/10.1007/s10639-020-10316-y.
    10.1007/s10639-020-10316-y
  57. Mauro Castelli; Fabiana Martins Clemente; Aleš Popovic; Sara Silva; Leonardo Vanneschi. "A Machine Learning Approach to Predict Air Quality in California". Complexity (2020): https://doi.org/10.1155/2020/8049504.
    10.1155/2020/8049504
  58. Frederico Cruz-Jesus; Mauro Castelli; Tiago Oliveira; Ricardo Mendes; Catarina Nunes; Mafalda Sa-Velho; Ana Rosa-Louro. "Using artificial intelligence methods to assess academic achievement in public high schools of a European Union country". Heliyon 6 6 (2020): e04081-e04081. https://doi.org/10.1016/j.heliyon.2020.e04081.
    10.1016/j.heliyon.2020.e04081
  59. Mauro Castelli; Aleš Groznik; Aleš Popovic. "Forecasting Electricity Prices: A Machine Learning Approach". Algorithms 13 5 (2020): 119-119. https://doi.org/10.3390/a13050119.
    10.3390/a13050119
  60. Ibrahem Kandel; Mauro Castelli. "How Deeply to Fine-Tune a Convolutional Neural Network: A Case Study Using a Histopathology Dataset". Applied Sciences (2020): https://www.mdpi.com/2076-3417/10/10/3359.
    10.3390/app10103359
  61. Ibrahem Kandel; Mauro Castelli. "A novel architecture to classify histopathology images using convolutional neural networks". Applied Sciences (Switzerland) 10 8 (2020): 1-17. https://novaresearch.unl.pt/en/publications/8d80b7ad-21ba-48e6-a7c1-ac65f8d62dd9.
    10.3390/APP10082929
  62. Ibrahem Kandel; Mauro Castelli. "Transfer Learning with Convolutional Neural Networks for Diabetic Retinopathy Image Classification. A Review". Applied Sciences 10 6 (2020): 2021-2021. https://doi.org/10.3390/app10062021.
    10.3390/app10062021
  63. Castelli, Mauro; Dobreva, Maria; Henriques, Roberto; Vanneschi, Leonardo. "Predicting Days on Market to Optimize Real Estate Sales Strategy". Complexity 2020 (2020): 1-22. http://dx.doi.org/10.1155/2020/4603190.
    10.1155/2020/4603190
  64. Paulo Lapa; Mauro Castelli; Ivo Gonçalves; Evis Sala; Leonardo Rundo. "A Hybrid End-to-End Approach Integrating Conditional Random Fields into CNNs for Prostate Cancer Detection on MRI". Applied Sciences 10 1 (2020): 338-338. https://doi.org/10.3390/app10010338.
    10.3390/app10010338
  65. Raglio, A.; Imbriani, M.; Imbriani, C.; Baiardi, P.; Manzoni, S.; Gianotti, M.; Castelli, M.; et al. "Machine learning techniques to predict the effectiveness of music therapy: A randomized controlled trial". Computer Methods and Programs in Biomedicine 185 (2020): http://www.scopus.com/inward/record.url?eid=2-s2.0-85074451949&partnerID=MN8TOARS.
    10.1016/j.cmpb.2019.105160
  66. Jonathan Janke; Mauro Castelli; Aleš Popovic. "Analysis of the proficiency of fully connected neural networks in the process of classifying digital images. Benchmark of different classification algorithms on high-level image features from convolutional layers". Expert Systems with Applications 135 (2019): 12-38. https://doi.org/10.1016/j.eswa.2019.05.058.
    10.1016/j.eswa.2019.05.058
  67. Alvaro Rubio-Largo; Leonardo Vanneschi; Mauro Castelli; Miguel A. Vega-Rodriguez. "Multiobjective Metaheuristic to Design RNA Sequences". IEEE Transactions on Evolutionary Computation 23 1 (2019): 156-169. https://doi.org/10.1109/TEVC.2018.2844116.
    10.1109/TEVC.2018.2844116
  68. Vanneschi, Leonardo; Castelli, Mauro; Scott, Kristen; Trujillo, Leonardo; Vanneschi, L.; Castelli, M.; Scott, K.; Trujillo, L.. "Alignment-based genetic programming for real life applications". Swarm and Evolutionary Computation 44 (2019): 840-851. http://dx.doi.org/10.1016/j.swevo.2018.09.006.
    10.1016/j.swevo.2018.09.006
  69. Bartoli, Alberto; Castelli, Mauro; Medvet, Eric; NOVA Information Management School (NOVA IMS); Alberto Bartoli; Mauro Castelli; Eric Medvet. "Weighted Hierarchical Grammatical Evolution". IEEE Transactions on Cybernetics (2019): 1-13. http://www.scopus.com/inward/record.url?scp=85056325866&partnerID=8YFLogxK.
    https://doi.org/10.1109/TCYB.2018.2876563
  70. Hajek, P.; Henriques, R.; Castelli, M.; Vanneschi, L.. "Forecasting performance of regional innovation systems using semantic-based genetic programming with local search optimizer". Computers and Operations Research 106 (2019): 179-190. http://www.scopus.com/inward/record.url?eid=2-s2.0-85041908079&partnerID=MN8TOARS.
    10.1016/j.cor.2018.02.001
  71. Besozzi, D.; Manzoni, L.; Nobile, M.S.; Spolaor, S.; Castelli, M.; Vanneschi, L.; Cazzaniga, P.; et al. "Computational Intelligence for Life Sciences". Fundamenta Informaticae 171 1-4 (2019): 57-80. http://www.scopus.com/inward/record.url?eid=2-s2.0-85075866558&partnerID=MN8TOARS.
    10.3233/FI-2020-1872
  72. Castelli, M.; Dondi, R.; Mauri, G.; Zoppis, I.. "Comparing incomplete sequences via longest common subsequence". Theoretical Computer Science 796 (2019): 272-285. http://www.scopus.com/inward/record.url?eid=2-s2.0-85072570657&partnerID=MN8TOARS.
    10.1016/j.tcs.2019.09.022
  73. Muñoz, L.; Trujillo, L.; Silva, S.; Castelli, M.; Vanneschi, L.. "Evolving multidimensional transformations for symbolic regression with M3GP". Memetic Computing 11 2 (2019): 111-126. http://www.scopus.com/inward/record.url?eid=2-s2.0-85053238236&partnerID=MN8TOARS.
    10.1007/s12293-018-0274-5
  74. Ruberto, S.; Vanneschi, L.; Castelli, M.. "Genetic programming with semantic equivalence classes". Swarm and Evolutionary Computation 44 (2019): 453-469. http://www.scopus.com/inward/record.url?eid=2-s2.0-85048885945&partnerID=MN8TOARS.
    10.1016/j.swevo.2018.06.001
  75. De Lorenzo, A.; Bartoli, A.; Castelli, M.; Medvet, E.; Xue, B.. "Genetic programming in the twenty-first century: a bibliometric and content-based analysis from both sides of the fence". Genetic Programming and Evolvable Machines (2019): http://www.scopus.com/inward/record.url?eid=2-s2.0-85069839280&partnerID=MN8TOARS.
    10.1007/s10710-019-09363-3
  76. Castelli, M.; Manzoni, L.. "GSGP-C++ 2.0: A geometric semantic genetic programming framework". SoftwareX 10 (2019): http://www.scopus.com/inward/record.url?eid=2-s2.0-85071718915&partnerID=MN8TOARS.
    10.1016/j.softx.2019.100313
  77. Castelli, M.; Cattaneo, G.; Manzoni, L.; Vanneschi, L.. "A distance between populations for n-points crossover in genetic algorithms". Swarm and Evolutionary Computation 44 (2019): 636-645. http://www.scopus.com/inward/record.url?eid=2-s2.0-85052743686&partnerID=MN8TOARS.
    10.1016/j.swevo.2018.08.007
  78. Vanneschi, Leonardo; Castelli, Mauro; Scott, Kristen; Popovic, Aleš; Vanneschi, L.; Castelli, M.; Scott, K.; Popovic, A.. "Accurate High Performance Concrete Prediction with an Alignment-Based Genetic Programming System". International Journal of Concrete Structures and Materials 12 1 (2018): http://dx.doi.org/10.1186/s40069-018-0300-5.
    10.1186/s40069-018-0300-5
  79. Stefano Beretta; Mauro Castelli; Ivo Gonçalves; Roberto Henriques; Daniele Ramazzotti. "Learning the Structure of Bayesian Networks: A Quantitative Assessment of the Effect of Different Algorithmic Schemes". Complexity (2018): https://doi.org/10.1155/2018/1591878.
    10.1155/2018/1591878
  80. Rubio-Largo, Álvaro; Castelli, Mauro; Vanneschi, Leonardo; Vega-Rodríguez, Miguel A.; Rubio-Largo, A.; Castelli, M.; Vanneschi, L.; Vega-Rodríguez, M.A.. "A Parallel Multiobjective Metaheuristic for Multiple Sequence Alignment". Journal of Computational Biology 25 9 (2018): 1009-1022. http://dx.doi.org/10.1089/cmb.2018.0031.
    10.1089/cmb.2018.0031
  81. Stefano Beretta; Mauro Castelli; Luis Muñoz; Leonardo Trujillo; Yuliana Martínez; Aleš Popovic; Luciano Milanesi; Ivan Merelli. "A Scalable Genetic Programming Approach to Integrate miRNA-Target Predictions: Comparing Different Parallel Implementations of M3GP". Complexity (2018): https://doi.org/10.1155/2018/4963139.
    10.1155/2018/4963139
  82. Stefano Cagnoni; Mauro Castelli. "Special Issue on Computational Intelligence and Nature-Inspired Algorithms for Real-World Data Analytics and Pattern Recognition". Algorithms 11 3 (2018): 25-25. https://doi.org/10.3390/a11030025.
    10.3390/a11030025
  83. Castelli, Mauro. "Editorial of the Special Issue of the 10th Workshop on Biomedical and Bioinformatics Challenges for Computer Science—BBC 2017". Computers (2018): http://www.mdpi.com/2073-431X/7/1/17.
    10.3390/computers7010017
  84. Vanneschi, L.; Horn, D.M.; Castelli, M.; Popovic, A.. "An artificial intelligence system for predicting customer default in e-commerce". Expert Systems with Applications 104 (2018): 1-21. http://www.scopus.com/inward/record.url?eid=2-s2.0-85043999337&partnerID=MN8TOARS.
    10.1016/j.eswa.2018.03.025
  85. Medvet, E.; Virgolin, M.; Castelli, M.; Bosman, P.A.N.; Gonçalves, I.; Tušar, T.. "Unveiling evolutionary algorithm representation with DU maps". Genetic Programming and Evolvable Machines 19 3 (2018): 351-389. http://www.scopus.com/inward/record.url?eid=2-s2.0-85051130335&partnerID=MN8TOARS.
    10.1007/s10710-018-9332-5
  86. Rubio-Largo, Á.; Vanneschi, L.; Castelli, M.; Vega-Rodríguez, M.A.. "Swarm intelligence for optimizing the parameters of multiple sequence aligners". Swarm and Evolutionary Computation 42 (2018): 16-28. http://www.scopus.com/inward/record.url?eid=2-s2.0-85046159910&partnerID=MN8TOARS.
    10.1016/j.swevo.2018.04.003
  87. Beretta, S.; Castelli, M.; Gonçalves, I.; Kel, I.; Giansanti, V.; Merelli, I.. "Improving eQTL Analysis Using a Machine Learning Approach for Data Integration: A Logistic Model Tree Solution". Journal of Computational Biology 25 10 (2018): 1091-1105. http://www.scopus.com/inward/record.url?eid=2-s2.0-85054439017&partnerID=MN8TOARS.
    10.1089/cmb.2017.0167
  88. Castelli, M.; Gonçalves, I.; Trujillo, L.; Popovic, A.. "An evolutionary system for ozone concentration forecasting". Information Systems Frontiers 19 5 (2017): 1123-1132. http://www.scopus.com/inward/record.url?eid=2-s2.0-84988661146&partnerID=MN8TOARS.
    10.1007/s10796-016-9706-2
  89. Enríquez-Zárate, J.; Trujillo, L.; de Lara, S.; Castelli, M.; Z-Flores, E.; Muñoz, L.; Popovic, A.. "Automatic modeling of a gas turbine using genetic programming: An experimental study". Applied Soft Computing Journal 50 (2017): 212-222. http://www.scopus.com/inward/record.url?eid=2-s2.0-85002252551&partnerID=MN8TOARS.
    10.1016/j.asoc.2016.11.019
  90. Castelli, M.; Sormani, R.; Trujillo, L.; Popovic, A.. "Predicting per capita violent crimes in urban areas: an artificial intelligence approach". Journal of Ambient Intelligence and Humanized Computing 8 1 (2017): 29-36. http://www.scopus.com/inward/record.url?eid=2-s2.0-85010857587&partnerID=MN8TOARS.
    10.1007/s12652-015-0334-3
  91. Rubio-Largo, Á.; Vanneschi, L.; Castelli, M.; Vega-Rodríguez, M.A.. "Using biological knowledge for multiple sequence aligner decision making". Information Sciences 420 (2017): 278-298. http://www.scopus.com/inward/record.url?eid=2-s2.0-85028043379&partnerID=MN8TOARS.
    10.1016/j.ins.2017.08.069
  92. Vanneschi, L.; Henriques, R.; Castelli, M.. "Multi-objective genetic algorithm with variable neighbourhood search for the electoral redistricting problem". Swarm and Evolutionary Computation 36 (2017): 37-51. http://www.scopus.com/inward/record.url?eid=2-s2.0-85017524682&partnerID=MN8TOARS.
    10.1016/j.swevo.2017.04.003
  93. Rubio-Largo, A.; Vanneschi, L.; Castelli, M.; Vega-Rodríguez, M.A.. "Reducing Alignment Time Complexity of Ultra-Large Sets of Sequences". Journal of Computational Biology 24 11 (2017): 1144-1152. http://www.scopus.com/inward/record.url?eid=2-s2.0-85033382470&partnerID=MN8TOARS.
    10.1089/cmb.2017.0097
  94. Castelli, M.; Manzoni, L.; Silva, S.; Vanneschi, L.; Popovic, A.. "The influence of population size in geometric semantic GP". Swarm and Evolutionary Computation 32 (2017): 110-120. http://www.scopus.com/inward/record.url?eid=2-s2.0-84973549912&partnerID=MN8TOARS.
    10.1016/j.swevo.2016.05.004
  95. Vanneschi, L.; Castelli, M.; Re, A.. "Prediction of ships' position by analysing AIS data: An artificial intelligence approach". International Journal of Web Engineering and Technology 12 3 (2017): 253-274. http://www.scopus.com/inward/record.url?eid=2-s2.0-85037811662&partnerID=MN8TOARS.
    10.1504/IJWET.2017.088389
  96. Castelli, M.; Trujillo, L.; Gonçalves, I.; Popovic, A.. "An evolutionary system for the prediction of high performance concrete strength based on semantic genetic programming". Computers and Concrete 19 6 (2017): 651-658. http://www.scopus.com/inward/record.url?eid=2-s2.0-85021177863&partnerID=MN8TOARS.
    10.12989/cac.2017.19.6.651
  97. Castelli, M.; Vanneschi, L.; Trujillo, L.; Popovic, A.. "Stock index return forecasting: Semantics-based genetic programming with local search optimiser". International Journal of Bio-Inspired Computation 10 3 (2017): 159-171. http://www.scopus.com/inward/record.url?eid=2-s2.0-85030090233&partnerID=MN8TOARS.
    10.1504/IJBIC.2017.086699
  98. Rubio-Largo, Á.; Vanneschi, L.; Castelli, M.; Vega-Rodríguez, M.A.. "Multiobjective characteristic-based framework for very-large multiple sequence alignment". Applied Soft Computing Journal (2017): http://www.scopus.com/inward/record.url?eid=2-s2.0-85023618707&partnerID=MN8TOARS.
    10.1016/j.asoc.2017.06.022
  99. Castelli, M.; Manzoni, L.; Vanneschi, L.; Popovic, A.. "An expert system for extracting knowledge from customers’ reviews: The case of Amazon.com, Inc.". Expert Systems with Applications 84 (2017): 117-126. http://www.scopus.com/inward/record.url?eid=2-s2.0-85019055201&partnerID=MN8TOARS.
    10.1016/j.eswa.2017.05.008
  100. Castelli, M.; Fumagalli, A.. "An evolutionary system for exploitation of fractured geothermal reservoirs". Computational Geosciences 20 2 (2016): 385-396. http://www.scopus.com/inward/record.url?eid=2-s2.0-84961997697&partnerID=MN8TOARS.
    10.1007/s10596-015-9552-1
  101. Rubio-Largo, A.; Vanneschi, L.; Castelli, M.; Vega-Rodriguez, M.A.. "A Characteristic-Based Framework for Multiple Sequence Aligners". IEEE Transactions on Cybernetics (2016): http://www.scopus.com/inward/record.url?eid=2-s2.0-84994323892&partnerID=MN8TOARS.
    10.1109/TCYB.2016.2621129
  102. Castelli, M.; Vanneschi, L.; Manzoni, L.; Popovic, A.. "Semantic genetic programming for fast and accurate data knowledge discovery". Swarm and Evolutionary Computation 26 (2016): 1-7. http://www.scopus.com/inward/record.url?eid=2-s2.0-84959566827&partnerID=MN8TOARS.
    10.1016/j.swevo.2015.07.001
  103. Beretta, S.; Castelli, M.; Dondi, R.. "Erratum: Corrigendum to “Parameterized tractability of the maximum-duo preservation string mapping problem” (Theoretical Computer Science (2016) 646 (16–25) (S0304397516303255) (10.1016/j.tcs.2016.07.011))". Theoretical Computer Science 653 (2016): 108-110. http://www.scopus.com/inward/record.url?eid=2-s2.0-84994544508&partnerID=MN8TOARS.
    10.1016/j.tcs.2016.09.015
  104. Popovic, A.; Hackney, R.; Tassabehji, R.; Castelli, M.. "The impact of big data analytics on firms’ high value business performance". Information Systems Frontiers (2016): 1-14. http://www.scopus.com/inward/record.url?eid=2-s2.0-84992743798&partnerID=MN8TOARS.
    10.1007/s10796-016-9720-4
  105. Beretta, S.; Castelli, M.; Dondi, R.. "Parameterized tractability of the maximum-duo preservation string mapping problem". Theoretical Computer Science 646 (2016): 16-25. http://www.scopus.com/inward/record.url?eid=2-s2.0-84997228970&partnerID=MN8TOARS.
    10.1016/j.tcs.2016.07.011
  106. Castelli, M.; Manzoni, L.; Vanneschi, L.; Silva, S.; Popovic, A.. "Self-tuning geometric semantic Genetic Programming". Genetic Programming and Evolvable Machines 17 1 (2016): 55-74. http://www.scopus.com/inward/record.url?eid=2-s2.0-84959103230&partnerID=MN8TOARS.
    10.1007/s10710-015-9251-7
  107. Castelli, M.; Vanneschi, L.; Popovic, A.. "Parameter evaluation of geometric semantic genetic programming in pharmacokinetics". International Journal of Bio-Inspired Computation 8 1 (2016): 42-50. http://www.scopus.com/inward/record.url?eid=2-s2.0-84958694901&partnerID=MN8TOARS.
    10.1504/IJBIC.2016.074634
  108. Castelli, M.; Trujillo, L.; Vanneschi, L.; Popovic, A.. "Prediction of relative position of CT slices using a computational intelligence system". Applied Soft Computing Journal 46 (2016): 537-542. http://www.scopus.com/inward/record.url?eid=2-s2.0-84951818569&partnerID=MN8TOARS.
    10.1016/j.asoc.2015.09.021
  109. Mauro Castelli; Luca Manzoni; Aleš Popovic. "An Artificial Intelligence System to Predict Quality of Service in Banking Organizations". Computational Intelligence and Neuroscience 2016 (2016): 1-7. http://dx.doi.org/10.1155/2016/9139380.
    10.1155/2016/9139380
  110. Mauro Castelli; Leonardo Vanneschi; Aleš Popovic. "Controlling Individuals Growth in Semantic Genetic Programming through Elitist Replacement". Computational Intelligence and Neuroscience 2016 (2016): 1-12. http://dx.doi.org/10.1155/2016/8326760.
    10.1155/2016/8326760
  111. Beretta, Stefano; Cannataro, Mario; Castelli, Mauro. "9 th Workshop on Biomedical and Bioinformatics Challenges for Computer Science – BBC2016". Procedia Computer Science 80 (2016): 962-964. http://dx.doi.org/10.1016/j.procs.2016.05.390.
    10.1016/j.procs.2016.05.390
  112. Castelli, Mauro; Vanneschi, Leonardo; De Felice, Matteo; Castelli, M.; Vanneschi, L.; De Felice, M.. "Forecasting short-term electricity consumption using a semantics-based genetic programming framework: The South Italy case". Energy Economics 47 (2015): 37-41. http://dx.doi.org/10.1016/j.eneco.2014.10.009.
    10.1016/j.eneco.2014.10.009
  113. Castelli, M.; Silva, S.; Vanneschi, L.. "A C++ framework for geometric semantic genetic programming". Genetic Programming and Evolvable Machines 16 1 (2015): 73-81. http://www.scopus.com/inward/record.url?eid=2-s2.0-84924222444&partnerID=MN8TOARS.
    10.1007/s10710-014-9218-0
  114. Beretta, S.; Castelli, M.; Dondi, R.; Beretta, Stefano; Castelli, Mauro; Dondi, Riccardo. "Correcting gene tree by removal and modification: Tractability and approximability". Journal of Discrete Algorithms 33 (2015): 115-129. http://www.scopus.com/inward/record.url?eid=2-s2.0-84930756685&partnerID=MN8TOARS.
    10.1016/j.jda.2015.03.005
  115. Castelli, M.; Trujillo, L.; Vanneschi, L.; Popovic, A.. "Prediction of energy performance of residential buildings: A genetic programming approach". Energy and Buildings 102 (2015): 67-74. http://www.scopus.com/inward/record.url?eid=2-s2.0-84930940486&partnerID=MN8TOARS.
    10.1016/j.enbuild.2015.05.013
  116. Castelli, M.; Henriques, R.; Vanneschi, L.. "A geometric semantic genetic programming system for the electoral redistricting problem". Neurocomputing 154 (2015): 200-207. http://www.scopus.com/inward/record.url?eid=2-s2.0-84924981049&partnerID=MN8TOARS.
    10.1016/j.neucom.2014.12.003
  117. Castelli, M.; Vanneschi, L.; Popovic, A.; Castelli, Mauro; Vanneschi, Leonardo; Popovic, Aleš. "Predicting burned areas of forest fires: An artificial intelligence approach". Fire Ecology 11 1 (2015): 106-118. http://www.scopus.com/inward/record.url?eid=2-s2.0-84926339792&partnerID=MN8TOARS.
    10.4996/fireecology.1101106
  118. Mauro Castelli; Leonardo Trujillo; Leonardo Vanneschi. "Energy Consumption Forecasting Using Semantic-Based Genetic Programming with Local Search Optimizer". Computational Intelligence and Neuroscience 2015 (2015): 1-8. http://dx.doi.org/10.1155/2015/971908.
    10.1155/2015/971908
  119. Castelli, M.; Vanneschi, L.; Silva, S.. "Erratum: "Semantic search based genetic programming and the effect of introns deletion"(IEEE Transactions on Cybernetics (2014) 44:1 (103-113))". IEEE Transactions on Cybernetics 44 4 (2014): http://www.scopus.com/inward/record.url?eid=2-s2.0-84897110281&partnerID=MN8TOARS.
    10.1109/TCYB.2014.2303551
  120. Castelli, M.; Vanneschi, L.; Silva, S.; Agapitos, A.; Oneill, M.. "Semantic search-based genetic programming and the effect of intron deletion". IEEE Transactions on Cybernetics 44 1 (2014): 103-113. http://www.scopus.com/inward/record.url?eid=2-s2.0-84891056709&partnerID=MN8TOARS.
    10.1109/TSMCC.2013.2247754
  121. Castelli, M.; Silva, S.; Manzoni, L.; Vanneschi, L.. "Geometric Selective Harmony Search". Information Sciences 279 (2014): 468-482. http://www.scopus.com/inward/record.url?eid=2-s2.0-84901851327&partnerID=MN8TOARS.
    10.1016/j.ins.2014.04.001
  122. Vanneschi, L.; Castelli, M.; Silva, S.. "A survey of semantic methods in genetic programming". Genetic Programming and Evolvable Machines 15 2 (2014): 195-214. http://www.scopus.com/inward/record.url?eid=2-s2.0-84903179769&partnerID=MN8TOARS.
    10.1007/s10710-013-9210-0
  123. Castelli, M.; Vanneschi, L.. "Genetic algorithm with variable neighborhood search for the optimal allocation of goods in shop shelves". Operations Research Letters 42 5 (2014): 355-360. http://www.scopus.com/inward/record.url?eid=2-s2.0-84903597371&partnerID=MN8TOARS.
    10.1016/j.orl.2014.06.002
  124. Castelli, M.; Vanneschi, L.; Silva, S.. "Prediction of the Unified Parkinson's Disease Rating Scale assessment using a genetic programming system with geometric semantic genetic operators". Expert Systems with Applications 41 10 (2014): 4608-4616. http://www.scopus.com/inward/record.url?eid=2-s2.0-84894875968&partnerID=MN8TOARS.
    10.1016/j.eswa.2014.01.018
  125. Manzoni, L.; Castelli, M.; Vanneschi, L.. "A new genetic programming framework based on reaction systems". Genetic Programming and Evolvable Machines 14 4 (2013): 457-471. http://www.scopus.com/inward/record.url?eid=2-s2.0-84881316704&partnerID=MN8TOARS.
    10.1007/s10710-013-9184-y
  126. Silva, S.; Ingalalli, V.; Vinga, S.; Carreiras, J.M.B.; Melo, J.B.; Castelli, M.; Vanneschi, L.; Gonçalves, I.; Caldas, J.. "Prediction of forest aboveground biomass: An exercise on avoiding overfitting". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7835 LNCS (2013): 407-417. http://www.scopus.com/inward/record.url?eid=2-s2.0-84875664067&partnerID=MN8TOARS.
    10.1007/978-3-642-37192-9-41
  127. Vanneschi, L.; Castelli, M.; Manzoni, L.; Silva, S.. "A new implementation of geometric semantic GP and its application to problems in pharmacokinetics". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7831 LNCS (2013): 205-216. http://www.scopus.com/inward/record.url?eid=2-s2.0-84875119289&partnerID=MN8TOARS.
    10.1007/978-3-642-37207-0_18
  128. White, D.R.; McDermott, J.; Castelli, M.; Manzoni, L.; Goldman, B.W.; Kronberger, G.; Jaskowski, W.; O'Reilly, U.-M.; Luke, S.. "Better GP benchmarks: Community survey results and proposals". Genetic Programming and Evolvable Machines 14 1 (2013): 3-29. http://www.scopus.com/inward/record.url?eid=2-s2.0-84873706505&partnerID=MN8TOARS.
    10.1007/s10710-012-9177-2
  129. Castelli, M.; Beretta, S.; Vanneschi, L.. "A hybrid genetic algorithm for the repetition free longest common subsequence problem". Operations Research Letters 41 6 (2013): 644-649. http://www.scopus.com/inward/record.url?eid=2-s2.0-84884601178&partnerID=MN8TOARS.
    10.1016/j.orl.2013.09.002
  130. Castelli, M.; Castaldi, D.; Vanneschi, L.; Giordani, I.; Archetti, F.; Maccagnola, D.; Silva, S.. "An efficient implementation of geometric semantic genetic programming for anticoagulation level prediction in pharmacogenetics". GECCO 2013 - Proceedings of the 2013 Genetic and Evolutionary Computation Conference Companion (2013): 137-138. http://www.scopus.com/inward/record.url?eid=2-s2.0-84882423439&partnerID=MN8TOARS.
    10.1145/2464576.2464644
  131. Castelli, M.; Vanneschi, L.; Silva, S.. "Prediction of high performance concrete strength using Genetic Programming with geometric semantic genetic operators". Expert Systems with Applications 40 17 (2013): 6856-6862. http://www.scopus.com/inward/record.url?eid=2-s2.0-84880346886&partnerID=MN8TOARS.
    10.1016/j.eswa.2013.06.037
  132. Castelli, M.; Silva, S.; Vanneschi, L.; Cabral, A.; Vasconcelos, M.J.; Catarino, L.; Carreiras, J.M.B.. "Land cover/land use multiclass classification using GP with geometric semantic operators". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7835 LNCS (2013): 334-343. http://www.scopus.com/inward/record.url?eid=2-s2.0-84875660818&partnerID=MN8TOARS.
    10.1007/978-3-642-37192-9-34
  133. Castelli, M.; Manzoni, L.; Vanneschi, L.. "Parameter tuning of evolutionary reactions systems". GECCO'12 - Proceedings of the 14th International Conference on Genetic and Evolutionary Computation (2012): 727-734. http://www.scopus.com/inward/record.url?eid=2-s2.0-84864680818&partnerID=MN8TOARS.
    10.1145/2330163.2330265
  134. Manzoni, L.; Castelli, M.; Vanneschi, L.. "Evolutionary reaction systems". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7246 LNCS (2012): 13-25. http://www.scopus.com/inward/record.url?eid=2-s2.0-84859133332&partnerID=MN8TOARS.
    10.1007/978-3-642-29066-4_2
  135. Castelli, M.; Manzoni, L.; Vanneschi, L.. "The effect of selection from old populations in genetic algorithms". Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication (2011): 161-162. http://www.scopus.com/inward/record.url?eid=2-s2.0-80051937848&partnerID=MN8TOARS.
    10.1145/2001858.2001948
  136. Vanneschi, L.; Castelli, M.; Manzoni, L.. "The K landscapes: A tunably difficult benchmark for genetic programming". Genetic and Evolutionary Computation Conference, GECCO'11 (2011): 1467-1474. http://www.scopus.com/inward/record.url?eid=2-s2.0-84860416958&partnerID=MN8TOARS.
    10.1145/2001576.2001773
  137. Castelli, M.; Manzoni, L.; Silva, S.; Vanneschi, L.. "A quantitative study of learning and generalization in genetic programming". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6621 LNCS (2011): 25-36. http://www.scopus.com/inward/record.url?eid=2-s2.0-79955770836&partnerID=MN8TOARS.
    10.1007/978-3-642-20407-4_3
  138. Castelli, M.; Manzoni, L.; Vanneschi, L.. "Multi objective genetic programming for feature construction in classification problems". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6683 LNCS (2011): 503-506. http://www.scopus.com/inward/record.url?eid=2-s2.0-84868549410&partnerID=MN8TOARS.
    10.1007/978-3-642-25566-3_39
  139. Castelli, M.; Manzoni, L.; Vanneschi, L.. "A method to reuse old populations in genetic algorithms". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7026 LNAI (2011): 138-152. http://www.scopus.com/inward/record.url?eid=2-s2.0-80054824852&partnerID=MN8TOARS.
    10.1007/978-3-642-24769-9_11
  140. Vanneschi, L.; Castelli, M.; Silva, S.. "Measuring bloat, overfitting and functional complexity in genetic programming". Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10 (2010): 877-884. http://www.scopus.com/inward/record.url?eid=2-s2.0-77955871126&partnerID=MN8TOARS.
    10.1145/1830483.1830643
  141. Vanneschi, L.; Castelli, M.; Bianco, S.; Schettini, R.. "Genetic algorithms for training data and polynomial optimization in colorimetric characterization of scanners". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6024 LNCS PART 1 (2010): 282-291. http://www.scopus.com/inward/record.url?eid=2-s2.0-77952416176&partnerID=MN8TOARS.
    10.1007/978-3-642-12239-2-29
  142. Castelli, M.; Manzoni, L.; Silva, S.; Vanneschi, L.. "A comparison of the generalization ability of different genetic programming frameworks". 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010 (2010): http://www.scopus.com/inward/record.url?eid=2-s2.0-79959399671&partnerID=MN8TOARS.
    10.1109/CEC.2010.5585925
  143. Leonardo Vanneschi; Francesco Archetti; Mauro Castelli; Ilaria Giordani. "Classification of Oncologic Data with Genetic Programming". Journal of Artificial Evolution and Applications (2009): https://doi.org/10.1155/2009/848532.
    10.1155/2009/848532
Journal issue
  1. Giuseppe Agapito; Mario Cannataro; Mauro Castelli; Riccardo Dondi; Rodrigo Weber dos Santos; Italo Zoppis. "Biomedical and Bioinformatics Challenges for Computer Science [Special Issue]". Computers 7 1 (2018): https://novaresearch.unl.pt/en/publications/f1d9e276-094d-47d8-be9b-83e803bc9468.
Preprint
  1. Carina Albuquerque; Roberto Henriques; Mauro Castelli. "Object Detection in Medical Imaging: A Quantitative and Qualitative Analysis of the Scientific Research (Preprint)". 2023. https://doi.org/10.2196/preprints.47462.
    10.2196/preprints.47462
Working paper
  1. Fabio Anselmi; Mauro Castelli; Alberto d'Onofrio; Luca Manzoni; Luca Mariot; Martina Saletta. 2023. "Local Search, Semantics, and Genetic Programming". https://novaresearch.unl.pt/en/publications/dd22ef98-8159-42ee-8d6b-a12b9f833f08.
    10.48550/arXiv.2305.16956
  2. Gloria Pietropolli; Luca Manzoni; Alessia Paoletti; Mauro Castelli. 2022. "On the Hybridization of Geometric Semantic GP with Gradient-based Optimizers". https://novaresearch.unl.pt/en/publications/d0ae0ec5-0dc7-47a8-bd18-51532b95933d.
    10.21203/rs.3.rs-2229748/v1

Intellectual property

Patent
  1. EP4119892. 2023. "A METHOD FOR DETERMINING A HEIGHT OF AN OBJECT FROM A SINGLE IMAGE RECORDED BY AN IMAGING DEVICE COMPRISED BY AN AERIAL VEHICLE".
    Granted/Issued

Other

Other output
  1. Commentary for the GPEM peer commentary special section on W. B. Langdon’s “Jaws 30”. 2023. Mauro Castelli. https://novaresearch.unl.pt/en/publications/86535217-ab6e-4a72-834e-b1f30d4f5766.
    10.1007/s10710-023-09468-w
  2. 10th Workshop on Biomedical and Bioinformatics Challenges for Computer Science-BBC2017. 2017. Agapito, Giuseppe; Cannataro, Mario; Castelli, Mauro; Dondi, Riccardo; Zoppis, Italo; NOVA Information Management School (NOVA IMS). http://hdl.handle.net/10362/25192.
    https://doi.org/10.1016/j.procs.2017.05.279
Activities

Supervision

Thesis Title
Role 		Degree Subject (Type)
Institution / Organization
2020 - 2025 Framework for Metaheuristic and Combinatorial Optimization Problems (COP)
Supervisor
 Gestão da Informação (PhD)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2023 - 2024 Transformers in Object Detection - A comparative analysis of the effectiveness of transformer-based neural networks in Object Detection tasks.
Supervisor
 Master in Data Science and Advanced Analytics (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2023 - 2024 Dynamic Modeling of 3-Dimensional Marine Fields - Unleashing the Power of Convolutional Transfomers for Advanced Environmental Analysis
Supervisor
 Master in Information Management (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2023 - 2024 iFood Catalog Enhancement - Improving Restaurant Catalog Management and User Recommendations at iFood using Machine Learning Techniques
Supervisor
 Master in Data Science and Advanced Analytics (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2023 - 2024 Deep Learning Classification for urban measurements of price, density, and green areas using satellite and street view imagery
Supervisor
 Master in Data Science and Advanced Analytics (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2023 - 2024 Exploring Attention Modules for Deep Mobile Image Quality Assessment
Supervisor
 Master in Data Science and Advanced Analytics (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2023 - 2024 Pharmaceutical Sales Representatives' Performance and Impact on Revenue
Supervisor
 Master in Data Science and Advanced Analytics (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2023 - 2024 Enhancing Analytical Insights: A Case Study of implementing a BI solution to a Multinational Company
Supervisor
 Master in Data Science and Advanced Analytics (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2023 - 2024 Understanding Publications’ Impact: Effect of Publications with Financial Product Suggestions on Clients’ Trading Behaviour
Supervisor
 Master in Data Science and Advanced Analytics (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2023 - 2024 Predicting how Macroeconomic Factors Can Impact the Housing Market in Portugal Using Machine Learning Techniques
Supervisor
 Master in Data Science and Advanced Analytics (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2023 - 2024 Effective and Efficient Image Classification from Deep Features Statistics
Supervisor
 Master in Data Science and Advanced Analytics (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2023 - 2024 Advancing Dataset Summarization: the Role of GPT-4 and Probabilistic Data Structures
Supervisor
 Master in Data Science and Advanced Analytics (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2023 - 2024 Exploring the Potential of Machine Learning for Supporting Employee Mental Health in IT Business Environments
Supervisor
 Master in Information Management (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2023 - 2023 PyTorch Genesis - A Framework for Neuroevolution Neurevolution Using Genetic Programming and Backpropagation
Supervisor
 Ciência de Dados e Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2023 - 2023 On the performance of lightweight convolutional neural networks for malaria detection
Supervisor
 Ciência de Dados e Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2023 - 2023 Descriptive analysis of online roulette gamblers: segmentation of different gamblers based on their behavior using data mining algorithms
Supervisor
 Ciência de Dados e Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2023 - 2023 Impact of GAN-based Lesion-Focused Medical Image Super-Resolution on Radiomic Feature Robustness
Supervisor
 Ciência de Dados e Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2023 - 2023 Automatic Spelling Corrector to improve Unified Registry analysis for Brazilian social development Adjustment of automatic spelling corrector system applied in Brazilian low-income family´s data
Supervisor
 Ciência de Dados e Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2023 - 2023 A Genetic Programming Approach for Computer Vision: Classifying High-level Image Features from Convolutional Layers with an Evolutionary Algorithm
Supervisor
 Ciência de Dados e Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2023 - 2023 A Vision Transformer Architecture for the Automated Segmentation of Retinal Fluids in Spectral Domain Optical Coherence Tomography Images
Supervisor
 Ciência de Dados e Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2023 - 2023 Development of an Application to Run Integration Tests on a Data Pipeline
Supervisor
 Ciência de Dados e Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2023 - 2023 Analysis of S&P500 using News Headlines Applying Machine Learning Algorithms
Supervisor
 Gestão de Informação (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2023 - 2023 Building a Fused Deposition Modelling (FDM) 3D Printing Visual Defect Detection System, Part 1: Creation of a Dynamic Imaging System, a Pixel-wise Segmentation Dataset with a Hybrid Synthetic Data Creation Method, and a Semantic Segmentation Algorithm with the SegFormer Deep Learning Model
Supervisor
 Ciência de Dados e Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2023 - 2023 Desenvolvimento de um Sistema de Previsão de Insolvência das Sociedades Seguradoras no Brasil
Supervisor
 Ciência de Dados e Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2022 - 2023 A Neural Rule-Based Model for Database Exploration: The combination of rule-based methods with pre-trained embedding models for text to SQL task
Supervisor
Universidade NOVA de Lisboa NOVA Information Management School, Portugal
2022 - 2023 Threat Detection with Computer Vision - Internship at Everis UK
Supervisor
 Master in Data Science and Advanced Analytics (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2022 - 2023 Procedural Content Generation in Gaming via Evolutionary Algorithms
Supervisor
 Master in Data Science and Advanced Analytics (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2022 - 2023 Application of Predicted Models in Debt Management - Developing a Machine Learning Algorithm to Predict Customer Risk at EDP Comercial
Supervisor
 Master in Data Science and Advanced Analytics (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2022 - 2023 Machine Learning Techniques to reveal abnormal behaviour in client profiles and vehicle characteristics in the non-life insurance context - Anomaly Detection Research
Supervisor
 Master in Data Science and Advanced Analytics (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2022 - 2023 Claims processing automation - Modernization of an insurance company internal process
Supervisor
 Master in Data Science and Advanced Analytics (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2022 - 2023 A Neural Rule-Based Model for Database Exploration
Supervisor
 Master in Data Science and Advanced Analytics (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2022 - 2023 Internship Experience at the Bank of Portugal: A Comprehensive Dive into Full Stack Development
Supervisor
 Master in Data Science and Advanced Analytics (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2022 - 2023 Image Segmentation and Classification using Small Data: An Application on Friendly Statements
Supervisor
 Master in Data Science and Advanced Analytics (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2022 - 2023 Zero-Shot Prompting Strategies for Table Question Answering in Portuguese
Supervisor
 Master in Data Science and Advanced Analytics (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2022 - 2023 Customer Churn Prediction in Auto Insurance
Supervisor
 Master in Data Science and Advanced Analytics (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2022 - 2023 Decision Trees for Optimization Display Campaigns for Conversion
Supervisor
 Master in Data-Driven Marketing (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2019 - 2023 Object Detection in Medical Imaging
Supervisor
 Information Management (PhD)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2019 - 2023 Understanding School Success: Drivers of Academic Achievement of Portuguese Public High School Students
Co-supervisor
 Information Management (PhD)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2018 - 2023 Competitive Intelligence Science - Unified View, Modular Definition, Instruments, and Mindset
Supervisor
 Information Management (PhD)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2022 - 2022 Analyzing user reviews of messaging Apps for competitive analysis
Supervisor
 Ciência de Dados e Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2022 - 2022 A criação de um modelo de Natural Language Processing para extração de habilidades técnicas na área de Ciência de Dados
Supervisor
 Ciência de Dados e Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2022 - 2022 Retrogressive thaw slump identification using U-Net and satellite image inputs: remote sensing imagery segmentation using deep learning techniques
Supervisor
 Ciência de Dados e Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2022 - 2022 Mixed-input second-hand car price estimation model based on scraped data
Supervisor
 Ciência de Dados e Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2022 - 2022 An Artificial Intelligence Method to Describe the Onset and Transition from Stochastic to Coordinated Neural Activity in Danionella Translucida Embryo
Supervisor
 Ciência de Dados e Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2022 - 2022 Automatic defect detection in wind turbine blades: A Deep Learning Model Pipeline for Detection and Classification of Defects in Drone Images
Supervisor
 Ciência de Dados e Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2022 - 2022 Data Science Methods Applied to the Study of The Signature of Regulatory CD4 T Cells in the Human Thymus and its Modulation by the Chromatin Landscape
Supervisor
 Ciência de Dados e Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2022 - 2022 Forecasting sales and transactions of fast-food stores: a proof of concept
Supervisor
 Ciência de Dados e Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2022 - 2022 Application of machine learning to predict quality of Portuguese wine based on sensory preferences
Supervisor
 Gestão de Informação (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2019 - 2022 Modelling Decisions in Banking Supervision: A Machine Learning Approach
Supervisor
 Gestão da Informação (PhD)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2019 - 2022 Understanding the drivers of academic achievement: Evidence for Portugal’s high school system, a machine learning approach.
Supervisor
 Gestão da Informação (PhD)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2019 - 2022 Soft computing for Ill Posed Problems in Computer Vision
Supervisor
 Information Management (PhD)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2018 - 2021/11 Deep Learning Techniques for Medical Image Classification
Supervisor
 Gestão da Informação (PhD)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2021 - 2021 Label noise injection methods for model robustness assessment in fraud detection datasets
Supervisor
 Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2021 - 2021 Machine learning approach for personalized recommendations on online platforms: uniplaces case study
Supervisor
 Gestão de Informação (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2021 - 2021 Automation of road feature extraction from high resolution images
Co-supervisor
 Tecnologias Geoespaciais (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2021 - 2021 Overcoming over–indebtedness with AI - A case study on the application of AutoML to research
Supervisor
 Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2021 - 2021 Detection and segmentation of macrophages in Quantitative Phase Images by Deep Learning using a Mask Region-based Convolutional Neural
Supervisor
 Ciência de Dados e Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2021 - 2021 Analysing data mining methods in sports analytics: a case study in NHL player salary prediction
Supervisor
 Gestão de Informação (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2021 - 2021 Towards The Deep Semantic Learning Machine Neuroevolution Algorithm An exploration on the CIFAR-10 problem task
Supervisor
 Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2021 - 2021 Station segmentation of Lisbon bicycle sharing system based on users demand and supply
Supervisor
 Gestão de Informação (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2021 - 2021 Football analytics: a literature analysis from 2010 to 2020
Supervisor
 Gestão de Informação (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2021 - 2021 Generative Adversarial Networks applied to Telecom Data - Using GANs to generate synthetic features regarding Wi-Fi signal quality
Supervisor
 Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2021 - 2021 Portfolio Optimization Using Evolutionary Algorithms
Supervisor
 Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2021 - 2021 Transmissibility Prediction: A Deep Learning Approach
Supervisor
 Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2021 - 2021 Using LUCAS survey and Recurrent Neural Networks to produce LCLU classification based on a Satellite Image time series of Sentinel-2
Co-supervisor
 Gestão de Informação (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2021 - 2021 Deep Semantic Learning Machine Initial design and experiments
Supervisor
 Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2021 - 2021 Finding Blue Oceans in Tourism: Using Text Mining to Identify Business Opportunities in Tourism
Co-supervisor
 Estatística e Gestão de Informação (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2021 - 2021 Deep Semantic Learning Machine: A Convolutional Network Construction Algorithm
Supervisor
 Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2021 - 2021 Forecasting sovereign bonds markets using machine learning: forecasting the portuguese government bond using machine learning approach
Supervisor
 Estatística e Gestão de Informação (Master)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2020 - 2021 Machine Learning Approach for Personalized Recommendations on Online Platforms – Uniplaces Case Study
Supervisor
 Master in Information Management (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2020 - 2021 Collaborative-Demographic Hybrid for Financial Product Recommendation
Supervisor
 Master in Advanced Analytics (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2019 - 2021 Deep Learning in medical imaging
Supervisor
 Gestão da Informação (PhD)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2020 - 2020 The BI architecture of a luxury fashion company
Supervisor
 Gestão de Informação (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2020 - 2020 Next best action – a data-driven marketing approach
Supervisor
 Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2020 - 2020 Previsão de resultado de jogos da NBA com algoritmos de machine learning
Supervisor
 Gestão de Informação (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2020 - 2020 A sentiment analysis model to evaluate people’s opinion about artificial intelligence
Supervisor
 Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2020 - 2020 3D flight route optimization for air-taxis in urban areas with evolutionary algorithms
Supervisor
 Tecnologias Geoespaciais (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2020 - 2020 Sensor fusion of IMU and BLE using a well-condition triangle approach for BLE positioning
Supervisor
 Tecnologias Geoespaciais (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2020 - 2020 A decision support system application module - for PESTLE analysis - competitive intelligence algorithm
Supervisor
 Gestão de Informação (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2020 - 2020 CDR-based location analytics & gender prediction from subscribers’ list of installed mobile applications
Supervisor
 Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2020 - 2020 Machine learning techniques for predicting the stock market using daily market variables
Supervisor
 Gestão de Informação (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2020 - 2020 RGPD aplicado nas PME portuguesas
Supervisor
 Gestão de Informação (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2020 - 2020 Development of the BIRD: a metadata modelling approach for the purpose of harmonising supervisory reporting at the European Central Bank - Directorate of general statistics: master and metadata
Supervisor
 Estatística e Gestão de Informação (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2020 - 2020 Recognition and classification:the use of computer vision in the retail industry
Supervisor
 Gestão de Informação (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2020 - 2020 Predicting Chelonia mydas nests survivability rates with use of Machine Learning techniques: applying machine learning techniques on conservation data – case study
Supervisor
 Gestão de Informação (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2020 - 2020 Using predictive modelling to create the school dropouts´ profile: a case study regarding elementary and high school students
Supervisor
 Gestão de Informação (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2020 - 2020 Adding Kalman filter into ESI: an anomaly detection approach for middleware metadata
Supervisor
 Gestão de Informação (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2020 - 2020 An audit and outlier detection system for a neural network prediction model in the agricultural sector
Supervisor
 Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2020 - 2020 Explorations of the semantic learning machine neuroevolution algorithm: dynamic training data use and ensemble construction methods
Supervisor
 Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2020 - 2020 A collaborative filtering method for music recommendation
Supervisor
 Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2020 - 2020 Generic data modeling based on the Markov chain theory part of an AutoML system: customizable library and visualization tool
Supervisor
 Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2020 - 2020 SME credit application, a text classification approach
Supervisor
 Estatística e Gestão de Informação (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2020 - 2020 The outperformance of the semantic learning machine, against commonly used algorithms, for binary and multi-class medical image classification: combined with the usage of feature extraction by several convolutional neural networks
Supervisor
 Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2020 - 2020 Origami toolkit: metaheuristic framework for combinatorial optimization problems: a machine learning tool for problem-solving and decision-making
Supervisor
 Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2020 - 2020 TSPO: an autoML approach to time series forecasting
Supervisor
 Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2020 - 2020 Time series forecasting applied to an energy management system ‐ A comparison between Deep Learning Models and other Machine Learning Models
Supervisor
 Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2020 - 2020 The efficiency of bankruptcy predictive models - genetic algorithms approach
Supervisor
 Gestão de Informação (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2020 - 2020 An overview of the main machine learning models - from theory to algorithms
Supervisor
 Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2020 - 2020 Assessing the willingness of customers to share their data in exchange for the free use of mobile Apps
Supervisor
 Gestão de Informação (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2019 - 2020 Explorations of the Semantic Learning Machine Neuroevolution Algorithm - Dynamic Training Data Use and Ensemble Construction Methods
Co-supervisor
2017 - 2020 Universal Genetic Programming: a Meta Learning Approach based on Semantics
Supervisor
 Gestão da Informação (PhD)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2019 - 2019 A Computation Intelligence Approach to Edge Oriented Optimization for Neuroevolution
Co-supervisor
2019 - 2019 Remote Eestimation of Target Height Using Unmanned Air Vehicle
Co-supervisor
2019 - 2019 Data driven Evaluation of Real Estate Liquidity (Predicting days on market to optimise the sales strategy of a startup)
Supervisor
2019 - 2019 Competitive Intelligence Algorithm for PESTLE Analysis - A Decision Support System Application module
Supervisor
2019 - 2019 Customer lifetime value in insurance
Supervisor
 Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2019 - 2019 Unsupervised feature extraction with autoencoder : for the representation of parkinson´s disease patients
Supervisor
 Gestão de Informação (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2019 - 2019 Improving malware detection with neuroevolution : a study with the semantic learning machine
Supervisor
 Gestão de Informação (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2019 - 2019 Remote estimation of target height using unmanned air vehicles (UAVs)
Supervisor
 Gestão de Informação (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2019 - 2019 Conditional random fields improve the CNN-based prostate cancer classification performance
Supervisor
 Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2019 - 2019 Data-driven evaluation of real estate liquidity : predicting days on market to optimize the sales strategy of a startup
Supervisor
 Gestão de Informação (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2019 - 2019 Applying text mining techniques to forecast the stock market fluctuations of large it companies with twitter data: descriptive and predictive approaches to enhance the research of stock market predictions with textual and semantic data
Supervisor
 Gestão de Informação (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2019 - 2019 Implementing a bank sales analytics solution and a predictive model for the next best offer
Supervisor
 Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2019 - 2019 Analysis of the proficiency of fully-connected neural networks in the process of classifying digital images : benchmark of different classification algorithms on high-level image features from convolutional layers
Supervisor
 Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2019 - 2019 Calls’ topic recognition
Supervisor
 Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2019 - 2019 Ship recognition on the sea surface using aerial images taken by Uav : a deep learning approach
Supervisor
 Tecnologias Geoespaciais (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2019 - 2019 Predictive analytics applied to Alzheimer’s disease : a data visualisation framework for understanding current research and future challenges
Supervisor
 Gestão de Informação (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2019 - 2019 Support vector regression for time-series : a machine learning approach to predict the air quality
Supervisor
 Gestão de Informação (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2019 - 2019 Infrastructure for machine learning and computer vision
Supervisor
 Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2018 - 2018 Aplicação de Data Mining para Análise e Previsão das Estratégias de Pricing em Companhias Aéreas
Supervisor
2018 - 2018 Comparison of evolutionary algorithms for artificial neural network construction for supervised learning tasks
Supervisor
2018 - 2018 A multiple expression alignment framework for genetic programming
Supervisor
 Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2018 - 2018 Hyperparameters optimization on neural networks for bond trading
Supervisor
 Estatística e Gestão de Informação (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2018 - 2018 An application of user segmentation and predictive modelling at a telecom company
Supervisor
 Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2018 - 2018 Application of machine learning techniques for solving real world business problems - the case study - target marketing of insurance policies
Supervisor
 Gestão de Informação (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2018 - 2018 Using PubChem’s database with data mining and machine learning algorithms for the prediction of EGFR inhibitors: a comparative study
Supervisor
 Gestão de Informação (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2018 - 2018 Algoritmos de segmentação para classificação de inventários: DBSCAN
Supervisor
 Gestão de Informação (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2018 - 2018 March madness prediction using machine learning techniques
Supervisor
 Gestão de Informação (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2018 - 2018 A scalable recommender system : using latent topics and alternating least squares techniques
Supervisor
 Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2018 - 2018 An initialization technique for geometric semantic genetic programming based on demes evolution and despeciation : machine learning for rare diseases: a case study
Supervisor
 Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2018 - 2018 Predictive modelling applied to propensity to buy personal accidents insurance products
Supervisor
 Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2018 - 2018 Aplicação data mining para análise e previsão das estratégias de pricing em companhias aéreas. Estudo de caso : registos das tarifas da rota SSA-LIS
Supervisor
 Gestão de Informação (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2018 - 2018 Neuroevolution under unimodal error landscapes : an exploration of the semantic learning machine algorithm
Supervisor
 Gestão de Informação (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2017 - 2018 The use of data mining in airline industry to predict the demand of origin and destinations routes
Supervisor
 Master in Information Management (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2017 - 2017 Forecasting Stock Markets Using Machine Learning : Forecasting the PSI-20 index using a Machine Learning Approach
Supervisor
 Estatística e Gestão de Informação (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2017 - 2017 GENETIC ALGORITHMS APPLIED TO ASSET & LIABILITY MANAGEMENT
Supervisor
 Gestão de Informação (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2014 - 2017 Genetic Programming with Semantic Equivalence Classes
Co-supervisor
 PhD in Computer Science (PhD)
Gran Sasso Science Institute, Italy
2016 - 2016 Implementação de um Modelo de Geometric Semantic Genetic Programming para Aplicação Naval
Co-supervisor
2016 - 2016 Previsão da Estrutura Temporal da Taxas de Juro na Zona Euro. Approximação Paramétrica e por Métodos de Aprendizagem Automática
Supervisor
2016 - 2016 Customer Segmentation in the Insurance Industry
Supervisor
2016 - 2016 Métodos de aprendizagem automática - um estudo baseado na avaliação e previsão de clientes bancários
Supervisor
 Gestão de Informação (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2016 - 2016 Costumer clustering in the insurance sector by means of unsupervised machine learning - an internship report
Supervisor
 Métodos Analíticos Avançados (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2016 - 2016 Schematic bus transit maps for the web using genetic algorithms
Supervisor
 Tecnologias Geoespaciais (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2015 - 2015 From user browsing behaviour to user demographics
Supervisor
 Gestão de Informação (Master)
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
Distinctions

Award

2023 Narrative of impact
Universidade NOVA de Lisboa, Portugal
2023 Award for "Outstanding Teaching Activity"
2022 Award for "Outstanding Scientific Activity"
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2021 Best paper - ICT Express
Korean Institute of Communications and Information Sciences, South Korea
2019 Nvidia GPU Grant "Accelerated Data Science"
2017 Award for "Outstanding Scientific Activity"
Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação, Portugal
2014 Best paper award at the European Conference on Genetic Programming, 2014.
2013 Best paper award at the European Conference on Genetic Programming, 2013.

Other distinction

2023 World's Top 2% Scientists ranking of Stanford University
Stanford University, United States
2022 World's Top 2% Scientists ranking of Stanford University
Stanford University, United States
2022 World's Top 2% Scientists ranking of Stanford University
Stanford University, United States