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Identification

Personal identification

Full name
Bernardete Ribeiro

Citation names

  • Ribeiro, Bernardete
  • B Ribeiro

Author identifiers

Ciência ID
3F19-1A9B-3803
ORCID iD
0000-0002-9770-7672
Google Scholar ID
iASQcSYAAAAJ
Researcher Id
A-8010-2016
Scopus Author Id
35577774200

Websites

Knowledge fields

  • Exact Sciences - Computer and Information Sciences

Languages

Language Speaking Reading Writing Listening Peer-review
English Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1)
French Intermediate (B1) Advanced (C1) Intermediate (B1) Intermediate (B1)
Spanish; Castilian Intermediate (B1) Advanced (C1) Intermediate (B1) Intermediate (B1)
German Beginner (A1) Beginner (A1) Beginner (A1) Beginner (A1)
Education
Degree Classification
2010
Concluded
 Agregação em Engenharia Informática (Título de Agregado)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
"Computational Intelligence: Neural Networks and Kernel Methods" (THESIS/DISSERTATION)
 APROVADA POR UNANIMIDADE
1995
Concluded
 Doutoramento em Engenharia Electrocténcia Especialidade de Informática (Doutoramento)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
"Contribuição para a Modelização, Controlo Multivariável e Diagnóstico por Redes Neuronais: Aplicação a um Forno de Cal"" (THESIS/DISSERTATION)
 EXCELLENT (DISTINCAO E LOUVOR POR UNANIMIDADE)
1995
Concluded
 Engenharia Electrotécnica (Doutoramento)
Major in Especialidade: Informática
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
"Contribuição para a Modelização, Supervisão e Controlo de Sistemas Multivariáveis Não Lineares por Redes Neuronais com Aplicação a um Forno de Cal" (THESIS/DISSERTATION)
1987
Concluded
 Mestrado em Ciências da Computação (Computer Science) (Mestrado)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
"DINTER: Um Simulador de Processos de Destilação" (THESIS/DISSERTATION)
 VERY GOOD
1975
Concluded
 Licenciatura em Engenharia Química (Licenciatura)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
"Produção de Energia a partir de Resíduos de Madeira," (THESIS/DISSERTATION)
 15
Affiliation

Teaching in Higher Education

Category
Host institution 		Employer
2018/04/24 - Current Full Professor (University Teacher) Universidade de Coimbra, Portugal
2005/11/01 - 2010/04/24 Associate Professor (University Teacher) Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
1996/10/15 - 2005/12/29 Assistant Professor (University Teacher) Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
1989/10/15 - 1996/10/14 Adjunct Teacher (Polytechnic Teacher) Instituto Politecnico de Coimbra Instituto Superior de Engenharia de Coimbra, Portugal
1975/10/15 - 1989/10/14 Assistant (Polytechnic Teacher) Instituto Politecnico de Coimbra Instituto Superior de Engenharia de Coimbra, Portugal
1973 - 1975 Tutor (University Teacher) Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal

Positions / Appointments

Category
Host institution 		Employer
2017 - 2021 Coordenação ou direção de centro de investigação, departamento ou equivalente Universidade de Coimbra, Portugal

Others

Category
Host institution 		Employer
2010/11/25 - 2018/04/23 Associate Professor with Habilitation (Aggregation) New Mexico Institute of Mining and Technology, United States
2004/03/01 - 2005/02/01 Visiting Professor New Mexico Institute of Mining and Technology, United States
Projects

Grant

Designation Funders
2021/01 - 2025/12 Laboratório Associado de Sistemas Inteligentes
168241UID
LA/P/0104/2020
10.54499/LA/P/0104/2020
Universidade de Aveiro Centro de Tecnologia Mecânica e Automação, Portugal

Universidade Nova de Lisboa Centro de Tecnologias e Sistemas, Portugal

Instituto Politécnico do Porto Centro de Investigação em Sistemas Computacionais Embebidos e de Tempo-Real, Portugal

Universidade do Minho, Portugal

Universidade do Porto Faculdade de Ciências, Portugal

Universidade do Porto Centro de Matemática, Portugal

Universidade Nova de Lisboa, Portugal

Universidade do Porto Laboratório de Inteligência Artificial e Ciência de Computadores, Portugal

Universidade de Aveiro, Portugal

Universidade do Minho Instituto de Polímeros e Compósitos, Portugal

Universidade de Aveiro Instituto de Engenharia Eletrónica e Informática de Aveiro, Portugal

Universidade do Minho Centro ALGORITMI, Portugal

Universidade Nova de Lisboa Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial, Portugal

Universidade de Coimbra, Portugal

Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto, Portugal

Universidade de Coimbra Departamento de Engenharia Civil, Portugal

Instituto Politécnico do Porto Grupo de Investigação em Engenharia e Computação Inteligente para a Inovação e o Desenvolvimento, Portugal

Instituto Politécnico do Cávado e do Ave, Portugal

Universidade do Porto Faculdade de Engenharia, Portugal
Fundação para a Ciência e a Tecnologia
Ongoing
2020/01 - 2023/12 An Advanced Circular and Agile Manufacturing Ecosystem based on rapid reconfigurable manufacturing process and individualized consumer preferences
KYKLOS 4.0 Grant agreement ID: 872570
 European Commission

Contract

Designation Funders
2023/03/01 - 2024/08/31 Stochastic Modelling and Uncertainty Quantification in Sheet Metal Forming Processes
2022.02370.PTDC
Universidade de Coimbra, Portugal

Universidade de Aveiro Centro de Tecnologia Mecânica e Automação, Portugal

Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial, Portugal
Fundação para a Ciência e a Tecnologia
Ongoing
2020/04 - 2024/04 Fintech and Artificial Intelligence in Finance - Towards a transparent financial industry
COST ACTION CA19130
Researcher
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
 European Cooperation in Science and Technology (COST Action)
Ongoing
2018/05 - 2022/04 H2020 - REMAP- Real-time Condition-based Maintenance for Adaptive Aircraft Maintenance Planning (Local UC Coordinator)
H2020-EU-769288-2
Principal investigator
Horizon 2020
2019/03/01 - 2022/02/28 Onde está o fogo? - Identificação, posicionamento e monitorização de incêndios florestais com dados disponibilizados pelos cidadãos
PCIF/MPG/0128/2017
Researcher
Universidade de Coimbra Instituto de Engenharia de Sistemas e Computadores de Coimbra, Portugal

Universidade de Coimbra, Portugal
Fundação para a Ciência e a Tecnologia
Ongoing
2018/06/01 - 2021/05/31 Conceção Robusta de Processos de Conformação de Chapas Metálicas para Reduzir Perdas de Produtividade
PTDC/EME-EME/31243/2017
Researcher
Universidade de Coimbra, Portugal

Instituto de Engenharia Mecanica e Gestao Industrial, Portugal

Universidade de Aveiro, Portugal
Fundação para a Ciência e a Tecnologia
Ongoing
2018/05 - 2021/04 RDForming - Robust Design of Sheet Metal Forming Processes to Reduce Productivity Losses
FCT-02/SAICT/2017-031243
Researcher
Fundação de Ciências e Tecnologia
2018/05 - 2021/04 D4-FCT: Deep Drug Discovery and Deployment
FCT-SAICT-2017-029266
Principal investigator
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
 Fundação Ciência e Tecnologia
2018/04 - 2021/03 NanoSen-AQM - Development and field validation of a low-cost nano-sensor system for real-time monitoring of ambient air quality
SOE2/P1/E0569 (EU-INTERREG-SUDOE)
Principal investigator
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
 EU Framework Programme for Research and Innovation Societal Challenges
Ongoing
2019/01/01 - 2019/12/31 CENTRO DE INFORMÁTICA E SISTEMAS DA UNIVERSIDADE DE COIMBRA
UID/CEC/00326/2019
154639UID
Universidade de Coimbra, Portugal

Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
Fundação para a Ciência e a Tecnologia
Concluded
2016/07/01 - 2019/12/31 SOCIALITE – Arquiteturas, Soluções e Ambiente para uma Internet das Coisas Orientada para as Pessoas
PTDC/EEI-SCR/2072/2014
Researcher
Universidade de Coimbra, Portugal
 Fundação para a Ciência e a Tecnologia
Concluded
2016 - 2019 SASSI - Sistema de Apoio à Decisão de Segurança em Sistemas Informáticos
PORTUGAL 2020 (Lisbon, PT2020 )
Researcher
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
 Fundação para a Ciência e a Tecnologia
Concluded
2013 - 2017 Eureka SD - Enhancing University Research and Education in Areas Useful for Sustainable Development
European Commission (oldenburg)
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
 Eureka
Concluded
2012 - 2017 COST Action TD1105 - European Network on New Sensing Technologies for Air-Pollution Control and Environmental Sustainability - EuNetAir
COST Action TD1105
Researcher
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
 European Cooperation in Science and Technology (COST Action)
Concluded
2014 - 2016 CIF: SMALL: RUI: Novel Detection Approaches with Comprehensive Hybrid Intelligent Systems for Multimedia Forensics
National Science Foundation (NSF, VA)
Researcher
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
Concluded
2011/01/01 - 2013/12/31 Projecto Estratégico - UI 326 - 2011-2012
PEst-C/EEI/UI0326/2011
Universidade de Coimbra, Portugal

Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
Fundação para a Ciência e a Tecnologia
Concluded
2010 - 2013 STEG: Development and Quantitative Evaluation of Steganalysis and Digital Forgery Detection Systems
10/1/20108/31/2013
 US Department of Justice
2010 - 2013 STEG: Development and Quantitative Evaluation of Steganalysis and Digital Forgery Detection Systems
10/1/2010–8/31/2013
 US Department of Justice
2007/09/03 - 2010/08/31 Melhorar a Análise do Risco Financeiro usando ferramentas de Data-Mining
PTDC/GES/70168/2006
Principal investigator
Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto, Portugal

Universidade do Minho, Portugal

Universidade de Coimbra, Portugal
Fundação para a Ciência e a Tecnologia
Concluded
2008/10 - 2010 BIOINK: Incremental Kernel Learning for Biological Data Analysis
PTDC/EIA/71770/2006
Researcher
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
 Fundação para a Ciência e Tecnologia
2007 - 2010 FP7 - EPILEPSIAE: Evolving Platform for Improving Living Expectation of Patients
Research Executive Agency (Brussels)
Researcher
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
 European Commission Seventh Framework Programme for Research and Technological Development
Concluded
2006 - 2010 CACTUS: Computational Analysis of Cyber Terrorism against the U.S.
U.S. Army White Sands Missile Range (DC, DC)
Researcher
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
Concluded
2007 - 2009 EUREKA IBEROAMERICA: Red Iberoamericana de Descubrimiento de Conocimientos
Ciencia y Tecnologia Para el Desarollo (CYTED)
Researcher
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
Concluded
2004 - 2009 MyHeart: fighting cardiovascular disease by preventive lifestyle and early diagnosis
FP6- 507816
Principal investigator
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
 European Commission Sixth Framework Programme
Concluded
2006 - 2008 GRID II: Global GRID for Data Mining with Soft Computing on Large Data Bases
Ministério da Ciência, Tecnologia e Ensino Superior (MES)
Principal investigator
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
 Ministério da Educação
Concluded
2004 - 2007 FP6 - MyHeart
FP6/2002/IST/1
 European Commission
2004 - 2006 GRID I: Intelligent Data Processing in GRID Technology with Applications to Industry and Medicine
Ministério da Ciência, Tecnologia e Ensino Superior (MES)
Principal investigator
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
 Ministério da Educação
Concluded
2002/01 - 2005/12 CATCH: Inductive Inference for Large Scale Data Base Text CATegorization using Support Vector MaCHines
/POSI/SRI/41234/2001
Principal investigator
Fundação para a Ciência e Tecnologia
2001/01 - 2004/06 EUNITE: The European Network on Intelligent Technologies for Smart Adaptive Systems
IST-2000-29207
 European Union
2001 - 2004 OLLICON- On-line learning in Intelligent Control
PRAXIS (FCT)
Researcher
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
 Fundação para a Ciência e a Tecnologia
Concluded
1998 - 2001 NEURATEL: Neural Networks for Telecommunications
NEU9801
Principal investigator
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
 Alfa (América Latina Formación Académica) .
1997 - 2000 NEUROPLAS
NP- 9700
Researcher
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
1995 - 1999 COSY-ESF: Control of Complex Systems
European Science Foundation (ESF)
Researcher
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
 European Science Foundation
1991 - 1993 CALEXX: Multimedia Materials for Process Automation
calex9193
Researcher
1986 - 1989 SICAGE: Sistema Integrado de Controlo e de Apoio à Gestão
JNICT/FCI/ 308.86.74/1986/89
 JNICT

Other

Designation Funders
2007/01 - 2010/01 RISK: Improving Financial Risk Analysis with Advanced Data- Mining Tools
PTDC/GES/70168/2006
Supervisor
Fundação para a Ciência e Tecnologia
1991 - 1993 Modélisation de Processus de Production de Pâte à Papier
Fundação para a Ciência e a Tecnologia, I.P. (Lisbon)
Researcher
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
 Ministério da Educação
Concluded
Outputs

Publications

Book
  1. Morales, A.; Fierrez, J.; Sánchez, J.S.; Ribeiro, B.. Preface. 2019.
    10.3917/ems.briot.2014.01.0007
  2. Costa, J.; Silva, C.; Ribeiro, B.. Hierarchical Deep Learning Approach for Plant Disease Detection. 2019.
    10.1007/978-3-030-31321-0_33
  3. Phong, N.H.; Ribeiro, B.. An Improvement for Capsule Networks Using Depthwise Separable Convolution. 2019.
    10.1007/978-3-030-31332-6_45
  4. Vieira, Armando; Ribeiro, Bernardete (3F19-1A9B-3803). Introduction to Deep Learning Business Applications for Developers. United States: Apress, Springer Science and Business Media Company. 2018.
    10.1007/978-1-4842-3453-2
  5. Silva, Catarina; Ribeiro, Bernardete; Catarina Silva; Bernardete Ribeiro. Aprendizagem Computacional em Engenharia. Coimbra: Imprensa da Universidade de Coimbra. 2017.
    10.14195/978-989-26-1508-0
  6. Laranjeira, A.; Frazão, X.; Pimentel, A.; Ribeiro, B.. How deep can we rely on emotion recognition. 2017.
    10.1007/978-3-319-52277-7_62
  7. Rivero, J.; Ribeiro, B.; Chen, N.; Leite, F.S.. A grassmannian approach to zero-shot learning for network intrusion detection. 2017.
    10.1007/978-3-319-70087-8_59
  8. Lopes, Noel; Ribeiro, Bernardete; B Ribeiro. Machine Learning for Adaptive Many-Core Machines - A Practical Approach. Portugal: Springer. 2015.
    10.1007/978-3-319-06938-8
  9. Costa, J.; Silva, C.; Antunes, M.; Ribeiro, B.. DOTS: Drift oriented tool system. 2015.
    10.1007/978-3-319-26561-2_72
  10. Lopes, N.; Ribeiro, B.. On the impact of distance metrics in instance-based learning algorithms. 2015.
    10.1007/978-3-319-19390-8_6
  11. Ribeiro, B.; Chen, N.. Hashing for financial credit risk analysis. 2014.
  12. Figueiredo, M.; Ribeiro, B.; De Almeida, A.M.; Figueiredo, Marisa; Ribeiro, Bernardete; de Almeida, Ana Maria. On the regularization parameter selection for sparse code learning in electrical source separation. Springer Berlin Heidelberg. 2013.
    10.1007/978-3-642-37213-1-29
  13. Costa, J.; Silva, C.; Antunes, M.; Ribeiro, B.. Defining semantic meta-hashtags for twitter classification. 2013.
    10.1007/978-3-642-37213-1-24
  14. Silva, C.; Ribeiro, B.. Studies in Computational Intelligence: Preface. 2010.
  15. Silva, C.; Ribeiro, B.. Distributing text classification in grid environments. 2010.
    10.1007/978-3-642-04533-2_5
  16. B Ribeiro. Adaptive and Natural Computing Algorithms Part I. Germany: Springer Berlin Heidelberg. 2007.
    Published • 10.1007/978-3-540-71618-1 • Editor
  17. B Ribeiro. Adaptive and Natural Computing Algorithms Part II. Germany: Springer Berlin Heidelberg. 2007.
    10.1007/978-3-540-71629-7 • Editor
  18. B Ribeiro. Proc. of the 3rd Portuguese Conference on Automatic Control - Controlo’98,. Coimbra, Portugal. 1998.
    Published • Editor
  19. B Ribeiro. Engenharia da Programação e dos Processos Algorítmicos. coimbra, Portugal: ISBN: 972-8525-00-1. 1998.
    Published
Book chapter
  1. Dinis Costa; Catarina Silva; Joana Costa; Bernardete Ribeiro. "Improving Pest Detection via Transfer Learning". 2024.
    10.1007/978-3-031-49249-5_8
  2. Raúl Llasag Rosero; Catarina Silva; Bernardete Ribeiro. "Forecasting Functional Time Series Using Federated Learning". 2023.
    10.1007/978-3-031-34204-2_40
  3. Alberto Cardoso; Joel Oliveira; Domicio Neto; Miguel Fernandes; Lorena Petrella; Jorge Henriques; Paulo Gil; et al. "Technical Components Integration Using APIs for Predictive Maintenance in the Context of Industry 4.0 Digital Transformation". 2023.
    10.1007/978-3-031-42467-0_89
  4. Dinis Costa; Catarina Silva; Joana Costa; Bernardete Ribeiro. "Optimizing Object Detection Models via Active Learning". 2023.
    10.1007/978-3-031-36616-1_7
  5. Bruno Cardoso; Catarina Silva; Joana Costa; Bernardete Ribeiro. "Edge Computing with Low-Cost Cameras for Object Detection in Smart Farming". 2023.
    10.1007/978-3-031-35982-8_2
  6. Dinis Costa; Catarina Silva; Joana Costa; Bernardete Ribeiro. "Enhancing Pest Detection Models Through Improved Annotations". 2023.
    10.1007/978-3-031-49011-8_29
  7. João P. Ferreira; Bernardete Ribeiro; Alexandra Vieira; A. Paulo Coimbra; Manuel M. Crisóstomo; César Bouças; Tao Liu; João Páscoa Pinheiro. "Knee Injured Recovery Analysis Using Extreme Learning Machine". 65-79. Springer International Publishing, 2020.
    10.1007/978-3-030-42520-3_6
  8. Assunção, Filipe; Lourenço, Nuno; Ribeiro, Bernardete; Machado, Penousal. "Incremental Evolution and Development of Deep Artificial Neural Networks". In Lecture Notes in Computer Science, 35-51. Springer International Publishing, 2020.
    10.1007/978-3-030-44094-7_3
  9. Antunes, Francisco; Pereira, Francisco; Ribeiro, Bernardete. "Directional Grid-Based Search for Simulation Metamodeling Using Active Learning". In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 32-46. Springer International Publishing, 2020.
    10.1007/978-3-030-38822-5_3
  10. Oliveira, N.; Costa, J.; Silva, C.; Ribeiro, B.. "Retweet Predictive Model for Predicting the Popularity of Tweets". In Proceedings of the Tenth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2018). 2020.
    10.1007/978-3-030-17065-3_19
  11. Filipe Assunção; Nuno Lourenço; Bernardete Ribeiro; Penousal Machado. "Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution". 530-545. Springer International Publishing, 2020.
    10.1007/978-3-030-43722-0_34
  12. Cardoso, Alberto; Leitão, Joaquim; Azevedo, Daniel; Gil, Paulo; Ribeiro, Bernardete. "Application for Monitoring and Prediction of Energy and Water Consumption in Domestic Cyber-Physical Systems". In Cyber-physical Systems and Digital Twins, 28-37. Springer International Publishing, 2019.
    10.1007/978-3-030-23162-0_3
  13. Costa, Joana; Silva, Catarina; Ribeiro, Bernardete. "Learning in Twitter Streams with 280 Character Tweets". In Proceedings of the Tenth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2018), 177-184. Springer International Publishing, 2019.
    10.1007/978-3-030-17065-3_18
  14. Filipe Assunção; Nuno Lourenço; Penousal Machado; Bernardete Ribeiro. "Fast DENSER: Efficient Deep NeuroEvolution". 197-212. Springer International Publishing, 2019.
    10.1007/978-3-030-16670-0_13
  15. Nelson R. C. Monteiro; Bernardete Ribeiro; Joel P. Arrais. "Deep Neural Network Architecture for Drug-Target Interaction Prediction". 2019.
    10.1007/978-3-030-30493-5_76
  16. Huu Phong Nguyen; Bernardete Ribeiro. "Advanced Capsule Networks via Context Awareness". 2019.
    10.1007/978-3-030-30487-4_14
  17. Filipe Assunção; Nuno Lourenço; Penousal Machado; Bernardete Ribeiro. "Evolving the Topology of Large Scale Deep Neural Networks". 2018.
    10.1007/978-3-319-77553-1_2
  18. Ribeiro, B.; Silva, J.; Sung, A.H.; Suryakumar, D.. "Critical Feature Selection and Critical Sampling for Data Mining". In Pattern Recognition and Image Analysis. 2018.
    10.1007/978-981-13-0716-4_2
  19. Lopes, Noel; Ribeiro, Bernardete; Lopes, N.; Ribeiro, B.. "Trading off Distance Metrics vs Accuracy in Incremental Learning Algorithms". Portugal: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017.
    10.1007/978-3-319-52277-7_64
  20. Costa, J.; Silva, C.; Antunes, M.; Ribeiro, B.. "Performance metrics for model fusion in Twitter data drifts". In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. 2017.
    10.1007/978-3-319-58838-4_2
  21. AghaeiRad, A.; Ribeiro, B.. "Credit prediction using transfer of learning via self-organizing maps to neural networks". 2015.
    10.1007/978-3-319-23983-5_33
  22. Ribeiro, Bernardete; Chen, Ning. "Hashing for Financial Credit Risk Analysis". In Lecture Notes in Computer Science, 395-403. Springer International Publishing, 2014.
    10.1007/978-3-319-12640-1_48
  23. Costa, Joana; Silva, Catarina; Antunes, Mário; Ribeiro, Bernardete. "Defining Semantic Meta-hashtags for Twitter Classification". In Adaptive and Natural Computing Algorithms, 226-235. Springer Berlin Heidelberg, 2013.
    10.1007/978-3-642-37213-1_24
  24. Chen, N.; Ribeiro, B.. "A consensus approach for combining multiple classifiers in cost-sensitive bankruptcy prediction". In Lecture Notes in Computer Science. 2013.
    10.1007/978-3-642-37213-1-28
  25. Ribeiro, Bernardete; Lopes, Noel. "Extreme Learning Classifier with Deep Concepts". In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 182-189. Springer Berlin Heidelberg, 2013.
    10.1007/978-3-642-41822-8_23
  26. Freiria, Susana; Tavares, Alexandre; Ribeiro, Bernardete; Tavares, Alexandre O. "Road infrastructures for risk management". In Safety, Reliability and Risk Analysis, 669-677. London, United Kingdom: CRC Press, 2013.
    Published • 10.1201/b15938-105
  27. Lopes, Noel; Ribeiro, Bernardete. "Improving Convergence of Restricted Boltzmann Machines via a Learning Adaptive Step Size". In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 511-518. Springer Berlin Heidelberg, 2012.
    10.1007/978-3-642-33275-3_63
  28. Gonçalves, João; Lopes, Noel; Ribeiro, Bernardete. "Multi-threaded Support Vector Machines for Pattern Recognition". In Lecture Notes in Computer Science, 616-623. Springer Berlin Heidelberg, 2012.
    10.1007/978-3-642-34481-7_75
  29. Lopes, Noel; Correia, Daniel; Pereira, Carlos; Ribeiro, Bernardete; Dourado, António. "An Incremental Hypersphere Learning Framework for Protein Membership Prediction". In Hybrid Artificial Intelligent Systems, 429-439. Springer Berlin Heidelberg, 2012.
    10.1007/978-3-642-28942-2_39
  30. Ribeiro, Bernardete; Chen, Ning. "Biclustering and Subspace Learning with Regularization for Financial Risk Analysis". In Lecture Notes in Computer Science, 228-235. Springer Berlin Heidelberg, 2012.
    10.1007/978-3-642-34487-9_28
  31. Vieira, Armando; Ribeiro, Bernardete; Chen, Ning. "Credit Scoring for SME Using a Manifold Supervised Learning Algorithm". In Intelligent Data Engineering and Automated Learning - IDEAL 2012, 763-770. Springer Berlin Heidelberg, 2012.
    10.1007/978-3-642-32639-4_90
  32. Antunes, M.; Silva, C.; Ribeiro, B.; Correia, M.. "A hybrid AIS-SVM ensemble approach for text classification". In Lecture Notes in Computer Science. 2011.
    10.1007/978-3-642-20267-4_36
  33. Lopes, Noel; Ribeiro, Bernardete. "A Robust Learning Model for Dealing with Missing Values in Many-Core Architectures". In Adaptive and Natural Computing Algorithms, 108-117. Springer Berlin Heidelberg, 2011.
    10.1007/978-3-642-20267-4_12
  34. Figueiredo, Marisa B.; de Almeida, Ana; Ribeiro, Bernardete. "An Experimental Study on Electrical Signature Identification of Non-Intrusive Load Monitoring (NILM) Systems". In Adaptive and Natural Computing Algorithms, 31-40. Springer Berlin Heidelberg, 2011.
    10.1007/978-3-642-20267-4_4
  35. Lopes, Noel; Ribeiro, Bernardete. "An Incremental Class Boundary Preserving Hypersphere Classifier". In Lecture Notes in Computer Science, 690-699. Springer Berlin Heidelberg, 2011.
    10.1007/978-3-642-24958-7_80
  36. Chen, Ning; Ribeiro, Bernardete; Vieira, Armando S.. "Bankruptcy Trajectory Analysis on French Companies Using Self-Organizing Map". In Progress in Artificial Intelligence, 407-417. Springer Berlin Heidelberg, 2011.
    10.1007/978-3-642-24769-9_30
  37. Ribeiro, Bernardete; Lopes, Noel. "Deep Belief Networks for Financial Prediction". In Lecture Notes in Computer Science, 766-773. Springer Berlin Heidelberg, 2011.
    10.1007/978-3-642-24965-5_86
  38. Ribeiro, Bernardete; Gonçalves, Ivo; Santos, Sérgio; Kovacec, Alexander. "Deep Learning Networks for Off-Line Handwritten Signature Recognition". In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 523-532. Springer Berlin Heidelberg, 2011.
    10.1007/978-3-642-25085-9_62
  39. Ribeiro, Bernardete; Quintas, Ricardo; Lopes, Noel. "Evaluation of a Resource Allocating Network with Long Term Memory Using GPU". In Adaptive and Natural Computing Algorithms, 41-50. Springer Berlin Heidelberg, 2011.
    10.1007/978-3-642-20267-4_5
  40. Costa, Joana; Silva, Catarina; Antunes, Mário; Ribeiro, Bernardete. "Get Your Jokes Right: Ask the Crowd". In Lecture Notes in Computer Science, 178-185. Springer Berlin Heidelberg, 2011.
    10.1007/978-3-642-24443-8_20
  41. Figueiredo, Marisa; de Almeida, Ana; Ribeiro, Bernardete. "Non-intrusive Residential Electrical Consumption Traces". In Ambient Intelligence - Software and Applications, 51-58. Springer Berlin Heidelberg, 2011.
    10.1007/978-3-642-19937-0_7
  42. Silva, Catarina; Ribeiro, Bernardete. "Purging False Negatives in Cancer Diagnosis Using Incremental Active Learning". In Intelligent Data Engineering and Automated Learning - IDEAL 2011, 394-402. Springer Berlin Heidelberg, 2011.
    10.1007/978-3-642-23878-9_47
  43. Costa, Joana; Silva, Catarina; Antunes, Mário; Ribeiro, Bernardete. "The Importance of Precision in Humour Classification". In Intelligent Data Engineering and Automated Learning - IDEAL 2011, 271-278. Springer Berlin Heidelberg, 2011.
    10.1007/978-3-642-23878-9_33
  44. P., Joo; Crisstomo, Manuel; Paulo, A.; Ribeiro, Bernardete. "SVR Controller for a Biped Robot with a Human-like Gait Subjected to External Sagittal Forces". In Biped Robots. InTech, 2011.
    Published • 10.5772/14445
  45. Lopes, Noel; Ribeiro, Bernardete. "A Hybrid Face Recognition Approach Using GPUMLib". In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 96-103. Springer Berlin Heidelberg, 2010.
    10.1007/978-3-642-16687-7_17
  46. Silva, Catarina; Ribeiro, Bernardete. "Background on Text Classification". In Inductive Inference for Large Scale Text Classification, 3-29. Springer Berlin Heidelberg, 2010.
    10.1007/978-3-642-04533-2_1
  47. Figueiredo, Marisa B.; de Almeida, Ana; Ribeiro, Bernardete; Martins, António. "Extracting Features from an Electrical Signal of a Non-Intrusive Load Monitoring System". In Intelligent Data Engineering and Automated Learning – IDEAL 2010, 210-217. Springer Berlin Heidelberg, 2010.
    10.1007/978-3-642-15381-5_26
  48. Silva, Catarina; Ribeiro, Bernardete. "Framework for Text Classification". In Inductive Inference for Large Scale Text Classification, 117-128. Springer Berlin Heidelberg, 2010.
    10.1007/978-3-642-04533-2_6
  49. Silva, Catarina; Ribeiro, Bernardete. "Kernel Machines for Text Classification". In Inductive Inference for Large Scale Text Classification, 31-48. Springer Berlin Heidelberg, 2010.
    10.1007/978-3-642-04533-2_2
  50. Lopes, Noel; Ribeiro, Bernardete. "Non-negative Matrix Factorization Implementation Using Graphic Processing Units". In Intelligent Data Engineering and Automated Learning – IDEAL 2010, 275-283. Springer Berlin Heidelberg, 2010.
    10.1007/978-3-642-15381-5_34
  51. Chen, Ning; Ribeiro, Bernardete; Vieira, Armando; Duarte, João; Neves, João. "Weighted Learning Vector Quantization to Cost-Sensitive Learning". In Artificial Neural Networks – ICANN 2010, 277-281. Springer Berlin Heidelberg, 2010.
    10.1007/978-3-642-15825-4_33
  52. Vieira, Armando S.; Duarte, João; Ribeiro, Bernardete; Neves, João C.. "Accurate Prediction of Financial Distress of Companies with Machine Learning Algorithms". In Adaptive and Natural Computing Algorithms, 569-576. Springer Berlin Heidelberg, 2009.
    10.1007/978-3-642-04921-7_58
  53. Chen, Ning; Vieira, Armando S.; Duarte, João; Ribeiro, Bernardete; Neves, João C.. "Cost-Sensitive Learning Vector Quantization for Financial Distress Prediction". In Progress in Artificial Intelligence, 374-385. Springer Berlin Heidelberg, 2009.
    10.1007/978-3-642-04686-5_31
  54. Ribeiro, Bernardete; Silva, Catarina; Vieira, Armando; Neves, João. "Extracting Discriminative Features Using Non-negative Matrix Factorization in Financial Distress Data". In Adaptive and Natural Computing Algorithms, 537-547. Springer Berlin Heidelberg, 2009.
    10.1007/978-3-642-04921-7_55
  55. Lopes, Noel; Ribeiro, Bernardete. "Fast Pattern Classification of Ventricular Arrhythmias Using Graphics Processing Units". In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 603-610. Springer Berlin Heidelberg, 2009.
    10.1007/978-3-642-10268-4_71
  56. Lopes, Noel; Ribeiro, Bernardete. "GPU Implementation of the Multiple Back-Propagation Algorithm". In Intelligent Data Engineering and Automated Learning - IDEAL 2009, 449-456. Springer Berlin Heidelberg, 2009.
    10.1007/978-3-642-04394-9_55
  57. Vieira, Armando; Duarte, João; Ribeiro, Bernardete; Neves, Joao Carvalho. "Improving Personal Credit Scoring with HLVQ-C". In Advances in Neuro-Information Processing, 97-103. Springer Berlin Heidelberg, 2009.
    10.1007/978-3-642-03040-6_12
  58. Silva, Catarina; Ribeiro, Bernardete. "Improving Text Classification Performance with Incremental Background Knowledge". In Artificial Neural Networks – ICANN 2009, 923-931. Springer Berlin Heidelberg, 2009.
    10.1007/978-3-642-04274-4_95
  59. Silva, Catarina; Ribeiro, Bernardete. "Improving Visualization, Scalability and Performance of Multiclass Problems with SVM Manifold Learning". In Adaptive and Natural Computing Algorithms, 370-379. Springer Berlin Heidelberg, 2009.
    10.1007/978-3-642-04921-7_38
  60. Silva, Catarina; Ribeiro, Bernardete. "Knowledge Extraction with Non-Negative Matrix Factorization for Text Classification". In Intelligent Data Engineering and Automated Learning - IDEAL 2009, 300-308. Springer Berlin Heidelberg, 2009.
    10.1007/978-3-642-04394-9_37
  61. Ribeiro, Bernardete; Vieira, Armando; Duarte, João; Silva, Catarina; das Neves, João Carvalho; Liu, Qingzhong; Sung, Andrew H.. "Learning Manifolds for Bankruptcy Analysis". In Advances in Neuro-Information Processing, 723-730. Springer Berlin Heidelberg, 2009.
    10.1007/978-3-642-02490-0_88
  62. Beliczynski, Bartlomiej; Ribeiro, Bernardete. "Several Enhancements to Hermite-Based Approximation of One-Variable Functions". In Artificial Neural Networks - ICANN 2008, 11-20. Springer Berlin Heidelberg, 2008.
    10.1007/978-3-540-87536-9_2
  63. Ribeiro, Bernardete; Vieira, Armando; Carvalho das Neves, João. "Supervised Isomap with Dissimilarity Measures in Embedding Learning". In Progress in Pattern Recognition, Image Analysis and Applications, 389-396. Springer Berlin Heidelberg, 2008.
    10.1007/978-3-540-85920-8_48
  64. Silva, Catarina; Ribeiro, Bernardete. "Text Classification on Embedded Manifolds". In Advances in Artificial Intelligence – IBERAMIA 2008, 272-281. Springer Berlin Heidelberg, 2008.
    10.1007/978-3-540-88309-8_28
  65. Silva, C.; Ribeiro, B.; Sung, A.H.. "Boosting RVM classifiers for large data sets". In Intelligent Data Engineering and Automated Learning – IDEAL 2006. 2007.
  66. Ribeiro, B.. "Support, relevance and spectral learning for time series". In Intelligent Data Engineering and Automated Learning – IDEAL 2006. 2007.
Conference paper
  1. Almeida, Jose Carlos; Cardoso, Alberto; Ribeiro, Bernardete. Corresponding author: Almeida, Jose Carlos. "A human-centric approach to aid in assessing maintenance from the sustainable manufacturing perspective". Paper presented in The 14th International Conference on Ambient Systems, Networks and Technologies Networks (ANT) and The 6th International Conference on Emerging Data and Industry 4.0 (EDI40), 2023.
    Published
  2. Almeida, Jose Carlos; Cardoso, Alberto; Ribeiro, Bernardete. Corresponding author: Almeida, Jose Carlos. "Empyrical Analysis for Remaining Useful Life Estimation via Data-Driven Models". Paper presented in SAFEPROCESS 2022, Pafos, 2022.
    Accepted
  3. Silva, Catarina; Ana Madeira; Cardoso, Alberto; Ribeiro, Bernardete. "Crowdsourcing Holistic Deep Approach for Fire Identification". Paper presented in INTERNATIONAL CONFERENCE ON FOREST FIRE RESEARCH, 2022.
    Published
  4. Dib, Mario; Ribeiro, Bernardete; Pedro A. Prates. "Improving Federated Learning Protection with Digital Envelopes". Paper presented in RECPAD, 27th Portuguese Conference on Pattern Recognition, Porto, 2021.
    Published
  5. Abbasi, Maryam; Oliveira Pereira, Tiago; Santos, Beatriz P.; Ribeiro, Bernardete; Arrais, Joel. Corresponding author: Abbasi, Maryam. "Multiobjective Reinforcement Learning in Optimized Drug Design". 2021.
    10.14428/esann/2021.es2021-87
  6. Beatriz P. Santos; Abbasi, Maryam; Tiago Pereira; Ribeiro, Bernardete; Joel P. Arrais. Corresponding author: Abbasi, Maryam. "Optimizing Recurrent Neural Network Architectures for De Novo Drug Design". 2021.
    10.1109/cbms52027.2021.00067
  7. Dib, Mario; Ribeiro, Bernardete; Pedro A. Prates. "Enhancing Data Integrity, Confidentiality and Authenticity with Digital Envelopes and Federated Learning". Paper presented in CSAI, ECCOMAS Thematic Conference on Computational Sciences and AI in Industry, Trondheim, 2021.
    Published
  8. Oliveira Pereira, Tiago; Abbasi, Maryam; Ribeiro, Bernardete; P. Arrais, Joel. Corresponding author: Abbasi, Maryam. "End-to-end Deep Reinforcement Learning for Targeted Drug Generation". Paper presented in International Conference on Computational Biology and Bioinformatics, 2020.
    10.1145/3449258.3449260
  9. Torres, Luis H. M.; Nelson R. C. Monteiro; Oliveira, José Luis; Arrais, Joel; Ribeiro, Bernardete. "Exploring a Siamese Neural Network Architecture for One-Shot Drug Discovery". Paper presented in 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE), Cincinnati, OH, USA, 2020.
    Published • 10.1109/bibe50027.2020.00035
  10. Sharma, Rahul; Ribeiro, Bernardete; Miguel Pinto, Alexandre; Amilcar Cardoso, F.. "Reconstructing Abstract Concepts and their Blends Via Computational Cognitive Modeling". Paper presented in 2020 International Joint Conference on Neural Networks (IJCNN), 2020.
    Published • 10.1109/ijcnn48605.2020.9207232
  11. Dib, Mario; Ribeiro, Bernardete; Pedro A. Prates; Nelson Oliveira; Marques, Armando; Oliveira, Marta C.; Fernandes, José Valdemar. Corresponding author: Dib, Mario. "Machine Learning-based Approach for Predicting Defects under Uncertainty in Sheet Metal Forming Processes". Paper presented in CM4P, ECCOMAS Thematic Conference on Computational Methods in Multi-scale, Multi-Uncertainty and Multi-Physics Problems, Porto, 2019.
    Published
  12. Azevedo, D.; Ribeiro, B.; Cardoso, A.. "Online simulation of methods to predict the remaining useful lifetime of aircraft components". 2019.
    10.1109/EXPAT.2019.8876574
  13. Silva, J.; Lucas, P.; Araujo, F.; Silva, C.; Gil, P.; Cardoso, A.; Arrais, J.; et al. "A hybrid application for real-time air quality monitoring". 2019.
    10.1109/EXPAT.2019.8876498
  14. Leitao, J.; Gil, P.; Ribeiro, B.; Cardoso, A.. "Smart Home Energy Management Supported by Cloud Computing". 2019.
    10.1109/EXPAT.2019.8876531
  15. Azevedo, D.; Ribeiro, B.; Cardoso, A.. "Web-based tool for predicting the Remaining Useful Lifetime of Aircraft Components". 2019.
    10.1109/EXPAT.2019.8876503
  16. Ribeiro, Bernardete. "Epileptic seizure prediction with stacked auto-encoders: Lessons from the evaluation on a large and collaborative database". 2018.
    10.1007/978-981-10-7419-6_2
  17. Rahul Sharma; Ribeiro, Bernardete; Alexandre Miguel Pinto; F. Amilcar Cardoso; Armando, Ngombo; Raposo, Duarte; José Marcelo Fernandes; et al. "Unveiling Markers of Stress Via Smartphone Usage". Paper presented in 24th Portuguese Conference on Pattern Recognition, RecPad 2018, Coimbra, 2018.
    Published
  18. Leitão, Joaquim; Gil, Paulo; Ribeiro, Bernardete; Cardoso, Alberto. "Forecasting Household Energy Consumptions using Capsule Networks". Paper presented in 24th Portuguese Conference on Pattern Recognition, Coimbra, 2018.
    Accepted
  19. Ribeiro, Bernardete. "Active Learning for Input Space Exploration in Traffic Simulators". 2018.
    10.1109/IJCNN.2018.8489302
  20. Ribeiro, Bernardete. "Dynamic Human Gait VGRF Reference Profile Generation via Extreme Learning Machine". 2018.
    10.1109/IJCNN.2018.8489062
  21. Ribeiro, Bernardete. "Adaptive Learning Models Evaluation in Twitter's Timelines". 2018.
    10.1109/IJCNN.2018.8489275
  22. Ribeiro, Bernardete. "Perceiving Abstract Concepts Via Evolving Computational Cognitive Modeling". 2018.
    10.1109/IJCNN.2018.8489505
  23. Ribeiro, Bernardete. "Automatic Evolution of AutoEncoders for Compressed Representations". 2018.
    10.1109/CEC.2018.8477874
  24. Ribeiro, Bernardete. "Model Prediction of Defects in Sheet Metal Forming Processes". 2018.
    10.1007/978-3-319-98204-5_14
  25. Ribeiro, Bernardete. "Using GP Is NEAT: Evolving compositional pattern production functions". 2018.
    10.1007/978-3-319-77553-1_1
  26. Leitao, J.; Gil, P.; Ribeiro, B.; Cardoso, A.. "Application of bees algorithm to reduce household's energy costs via load deferment". 2018.
    10.1109/ICITEED.2018.8534847
  27. Leitão, J.; Gil, P.; Ribeiro, B.; Cardoso, A.. "Improving household's efficiency via scheduling of water and energy appliances". 2018.
    10.1109/CONTROLO.2018.8514291
  28. Sharma, R.; Ribeiro, B.; Pinto, A.M.; Cardoso, F.A.. "Modeling abstract concepts for internet of everything: A cognitive artificial system". 2018.
    10.1109/CONTROLO.2018.8514540
  29. Leitão, Joaquim; Simões, Nuno; Marques, José; Gil, Paulo; Ribeiro, Bernardete; Cardoso, Alberto. "Categorisation of Urban Water Consumptions". 2018.
    10.29007/2mtq
  30. Lopes, N.; Ribeiro, B.. "Novel trends in scaling up machine learning algorithms". 2017.
    10.1109/ICMLA.2017.00-90
  31. Silva, J.; Ribeiro, B.; Sung, A.H.. "Finding the critical sampling of big datasets". 2017.
    10.1145/3075564.3078886
  32. Phong, N.H.; Ribeiro, B.. "Offline and online deep learning for image recognition". 2017.
    10.1109/EXPAT.2017.7984421
  33. Assuncao, F.; Lourenco, N.; Machado, P.; Ribeiro, B.. "Automatic generation of neural networks with structured Grammatical Evolution". 2017.
    10.1109/CEC.2017.7969488
  34. Assuncão, Filipe; Lourenco, Nuno; Ribeiro, Bernardete; Machado, Penousal; Assuncao, Filipe. "Evolutionary Machine Learning: An Essay on Benchmarking". 2017.
  35. Ribeiro, Bernardete; Geadas, P.; Alves, A.; Ribeiro, B.; Pérez, J.L.R.. "Attribute Learning for Network Intrusion Detection". 2016.
    10.1109/IJCNN.2014.6889911
  36. Ribeiro, Bernardete. "Multiclass Ensemble of One-Against-All SVM Classifiers". 2016.
    10.1007/978-3-319-40663-3_61
  37. Ribeiro, Bernardete. "Mahalanobis Distance Metric Learning Algorithm for Instance-based Data Stream Classification". 2016.
  38. Ribeiro, Bernardete. "Choice of Best Samples for Building Ensembles in Dynamic Environments". 2016.
    10.1007/978-3-319-44188-7_3
  39. Ribeiro, Bernardete. "Visualization of Individual Ensemble Classifier Contributions". 2016.
    10.1007/978-3-319-40581-0_51
  40. Sung, A.H.; Ribeiro, B.; Liu, Q.; Sung, Andrew H.; Ribeiro, Bernardete; Liu, Qingzhong; Ramachandran, M; et al. "Sampling and evaluating the big data for knowledge discovery". 2016.
    10.5220/0005932703780382
  41. Oliveira, G.; Frazão, X.; Pimentel, A.; Ribeiro, B.. "Automatic graphic logo detection via Fast Region-based Convolutional Networks". 2016.
    10.1109/IJCNN.2016.7727305
  42. Perez, J.L.R.; Ribeiro, B.; Perez, C.M.. "Mahalanobis distance metric learning algorithm for instance-based data stream classification". 2016.
    10.1109/IJCNN.2016.7727425
  43. Lopes, Noel; Ribeiro, Bernardete. "GPUMLib Framework: Using the GPU to Empower Machine Learning Research". 2015.
  44. Costa, N.; Ribeiro, B.. "A neural prediction model for monitoring and fault diagnosis of a plastic injection moulding process". 2015.
  45. Costa, J.; Silva, C.; Antunes, M.; Ribeiro, B.. "The impact of longstanding messages in micro-blogging classification". 2015.
    10.1109/IJCNN.2015.7280731
  46. Ribeiro, B.; Chen, N.; Kovacec, A.. "A structural pattern mining approach for credit risk assessment". 2015.
    10.1007/978-3-319-19644-2_7
  47. Ribeiro, B.; Lopes, N.; Silva, C.. "Learning the hash code with generalised regression neural networks for handwritten signature biometric data retrieval". 2015.
    10.1109/IJCNN.2015.7280707
  48. Silva, C.; Antunes, M.; Costa, J.; Ribeiro, B.. "Active manifold learning with Twitter big data". 2015.
    10.1016/j.procs.2015.07.296
  49. Ribeiro, B.M.; Sung, A.H.; Suryakumar, D.; Basnet, R.. "The critical feature dimension and critical sampling problems". 2015.
  50. Pedro Geadas; Alves, Ana; Ribeiro, Bernardete. "Ensemble learning for keyword extraction from event descriptions". Paper presented in 2014 International Joint Conference on Neural Networks (IJCNN), Beijing, 2014.
    Published • 10.1109/ijcnn.2014.6889911
  51. Liu, Q.; Ribeiro, B.; Sung, A.H.; Suryakumar, D.. "Mining the big data: The critical feature dimension problem". 2014.
    10.1109/IIAI-AAI.2014.105
  52. Costa, J.; Silva, C.; Antunes, M.; Ribeiro, B.; Cósta,Joana; Silva,Catarina; Mário João Antunes; Ribeiro,Bernardete. "Concept drift awareness in twitter streams". 2014.
    10.1109/ICMLA.2014.53
  53. Figueiredo, M.; Ribeiro, B.; De Almeida, A.M.. "Exploring the performance of non-negative multi-way factorization for household electrical seasonal consumption disaggregation". 2014.
    10.1109/IJCNN.2014.6889809
  54. Rodrigues, F.; Pereira, F.C.; Ribeiro, B.. "Gaussian process classification and active learning with multiple annotators". 2014.
  55. Ribeiro, B.; Lopes, N.; Goncalves, J.. "Signature identification via efficient feature selection and GPU-based SVM classifier". 2014.
    10.1109/IJCNN.2014.6889822
  56. Freiria, S.; Tavares, A.O.; Ribeiro, B.. "Road infrastructures for risk management: From regional to local dynamics". 2014.
  57. Direito, B.; Teixeira, C.A.D.; Ribeiro, B.; Dourado, A.; Santos, M.P.; Loureiro, M.C.. "Spatial dynamics of the Topographic representation of electroencephalogram spectral features during general anesthesia". 2014.
    10.1007/978-3-319-00846-2_128
  58. Costa, J.; Silva, C.; Ribeiro, B.; Antunes, M.. "Crowdtargeting: Making crowds more personal". 2013.
    10.1109/SMAP.2013.20
  59. Figueiredo, M.; Ribeiro, B.; Ana Maria de Almeida. "Forecasting the Usage of Home Appliances with Denoised Signal Patterns". 2013.
  60. Lopes, N.; Ribeiro, B.; Gonçalves, J.. "Restricted Boltzmann Machines and Deep Belief Networks on multi-core processors". 2012.
    10.1109/IJCNN.2012.6252431
  61. Direito, B.; Teixeira, C.; Ribeiro, B.; Castelo-Branco, M.; Dourado, A.. "Space time frequency (STF) code tensor for the characterization of the epileptic preictal stage". 2012.
    10.1109/EMBC.2012.6346008
  62. de Almeida, A.; Figueiredo, Marisa; Ribeiro, Bernardete. "Non Intrusive Load Monitoring Revisited". 2012.
  63. Figueiredo, M.; Ana Maria de Almeida; Ribeiro, B.. "Impact of Temporal Window-size on Pattern Denoising of a Smart Home Electrical Signal". 2011.
  64. Qiao, M.; Sung, A.H.; Liu, Q.; Ribeiro, B.M.. "Locating information-hiding in MP3 audio". 2011.
  65. Noel Lopes; Ribeiro, B.. "Incremental Learning for Non-Stationary Patterns". 2011.
  66. Lopes, N.; Ribeiro, B.. "A fast optimized semi-supervised non-negative Matrix Factorization algorithm". 2011.
    10.1109/IJCNN.2011.6033543
  67. Ribeiro, B.; Chen, N.. "Graph weighted subspace learning models in bankruptcy". 2011.
    10.1109/IJCNN.2011.6033479
  68. Costa, J.; Silva, C.; Antunes, M.; Ribeiro, B.. "On using crowdsourcing and active learning to improve classification performance". 2011.
    10.1109/ISDA.2011.6121700
  69. Figueiredo, M.B.; De Almeida, A.; Ribeiro, B.. "Smart home: A novel model for denoising an electrical signal". 2011.
    10.1109/ISDA.2011.6121752
  70. Figueiredo, M.B.; De Almeida, A.; Ribeiro, B.. "Wavelet decomposition and singular spectrum analysis for electrical signal denoising". 2011.
    10.1109/ICSMC.2011.6084183
  71. Gaspar-Cunha, A.; Mendes, F.; Duarte, J.; Vieira, Armando; Ribeiro, Bernardete; Ribeiro, André M. S.; Neves, João Carvalho. "Multi-objective evolutionary algorithms for feature selection : application in bankruptcy prediction". 2010.
    10.1007/978-3-642-17298-4_33
  72. Ribeiro, Bernardete; Silva, C.; Vieira, Armando; Gaspar-Cunha, A.; Neves, João. "Financial distress model prediction using SVM +". 2010.
    10.1109/IJCNN.2010.5596729
  73. Lopes, N.; Ribeiro, B.. "Stochastic GPU-based multithread implementation of multiple back-propagation". 2010.
  74. Lopes, N.; Ribeiro, B.. "A strategy for dealing with missing values by using selective activation neurons in a multi-topology framework". 2010.
    10.1109/IJCNN.2010.5596750
  75. Lopes, N.; Ribeiro, B.; Quintas, R.. "GPUMLib: A new library to combine Machine Learning algorithms with Graphics Processing Units". 2010.
    10.1109/HIS.2010.5600028
  76. Ribeiro, B.; Lopes, N.; Silva, C.. "High-performance bankruptcy prediction model using Graphics Processing Units". 2010.
    10.1109/IJCNN.2010.5596711
  77. Chen, N.; Ribeiro, B.; Vieira, A.S.; Duarte, J.; Neves, J.C.. "Hybrid genetic algorithm and learning vector quantization modeling for cost-sensitive bankruptcy prediction". 2010.
    10.1109/ICMLC.2010.29
  78. Silva, C.; Ribeiro, B.; Lopes, N.. "Improving recall values in breast cancer diagnosis with incremental background knowledge". 2010.
    10.1109/IJCNN.2010.5596641
  79. Noel Lopes; Ribeiro, B.. "MBPGPU: A Supervised Pattern Classifier for Graphical Processing Units". 2009.
  80. Liu, Q.; Sung, A.H.; Qiao, M.; Ribeiro, B.M.. "Using expanded Markov process and joint distribution features for JPEG steganalysis". 2009.
  81. Silva, C.; Ribeiro, B.; Lotric, U.; Dobnikar, A.. "Distributed ensemble learning in text classification". 2008.
  82. Ferreira, R.; Ribeiro, B.; Silva, C.; Liu, Q.; Sung, A.H.. "Building resilient classifiers for LSB matching steganography". 2008.
    10.1109/IJCNN.2008.4634004
  83. Ribeiro, B.; Cardoso, A.. "Evaluation system for e-learning with pattern mining tools". 2008.
    10.1109/ICSMC.2008.4811763
  84. Ribeiro, B.R.; Henirques, J.H.; Marques, A.M.; Antunes, M.A.. "Manifold learning for premature ventricular contraction detection". 2008.
    10.1109/CIC.2008.4749192
  85. Silva, C.; Ribeiro, B.. "Selecting examples in manifold reduced feature space for active learning". 2008.
    10.1109/ICMLA.2008.86
  86. Liu, Q.; Sung, A.H.; Ribeiro, B.M.; Ferreira, R.. "Steganalysis of multi-class JPEG images based on expanded Markov features and polynomial fitting". 2008.
    10.1109/IJCNN.2008.4634274
  87. Brito, M.; Henriques, J.; Carvalho, P.; Ribeiro, B.; Antunes, M.. "An ECG compression approach based on a segment dictionary and bezier approximations". 2007.
  88. Silva, C.; Ribeiro, B.. "Combining active learning and relevance vector machines for text classification". 2007.
    10.1109/ICMLA.2007.30
  89. Brito, M.; Henriques, J.; Carvalho, P.; Ribeiro, B.; Antunes, M.. "ECG Compression through segment matching and progressive error encoding". 2007.
    10.1109/IEMBS.2007.4352241
  90. Ribeiro, B.R.; Marques, A.M.; Henriques, J.H.; Antunes, Ma.. "Premature ventricular beat detection by using spectral clustering methods". 2007.
    10.1109/CIC.2007.4745443
  91. Ferreira, J.P.; Crisóstomo, M.; Coimbra, A.P.; Ribeiro, B.. "Simulation control of a biped robot with Support Vector Regression". 2007.
    10.1109/WISP.2007.4447538
  92. Henriques, J.; Carvalho, P.; Gil, P.; Marques, A.; Rocha, T.; Ribeiro, B.; Antunes, M.; Schmidt, R.; Habetha, J.. "Ventricular arrhythmias assessment". 2007.
    10.1109/IEMBS.2007.4353173
  93. Liu, Q.; Sung, A.H.; Ribeiro, B.M.. "Comparison of gene selection and machine learning for tumor classification". 2006.
  94. Ribeiro, B.; Vieira, A.; Das Neves, J.C.. "Sparse Bayesian models: Bankruptcy-predictors of choice?". 2006.
  95. Liu, Q.; Sung, A.H.; Xu, J.; Ribeiro, B.M.. "Image complexity and feature extraction for steganalysis of LSB matching steganography". 2006.
    10.1109/ICPR.2006.684
  96. Silva, C.; Ribeiro, B.. "Two-level hierarchical hybrid SVM-RVM classification model". 2006.
    10.1109/ICMLA.2006.52
  97. Silva, C.; Ribeiro, B.. "Scaling text classification with relevance vector machines". 2006.
    10.1109/ICSMC.2006.384791
  98. Silva, C.; Ribeiro, B.. "Margin-based active learning and background knowledge in text mining". 2005.
  99. Silva, C.; Ribeiro, B.; Lotric, U.. "Speeding-up text categorization in a GRID computing environment". 2005.
    10.1109/ICMLA.2005.60
  100. Vieira, Armando; Neves, João C.; Ribeiro, Bernardete. "A Method to Improve Generalization of Neural Networks: Application to the Problem of Bankruptcy Prediction". 2005.
    Published • 10.1007/3-211-27389-1_100
  101. Vieira, A.S.; Ribeiro, B.; Mukkamala, S.; Neves, J.C.; Sung, A.H.. "On the performance of learning machines for bankruptcy detection". 2004.
  102. Silva, C.; Ribeiro, B.. "Labeled and unlabeled data in text categorization". 2004.
    10.1109/IJCNN.2004.1381138
  103. Silva, C.; Ribeiro, B.. "The Importance of Stop Word Removal on Recall Values in Text Categorization". 2003.
  104. Ribeiro, B.. "Kernelized based functions with Minkovsky's norm for SVM regression". 2002.
  105. Carvalho, P.; Santos, A.; Dourado, A.; Ribeiro, B.. "Bayes information criterion for Tikhonov regularization with linear constraints: Application to spectral data estimation". 2002.
  106. Carvalho, P.; Santos, A.; Dourado, A.; Ribeiro, B.. "Radiometric image correction with automatic model selection". 2002.
  107. Ribeiro, B.. "On data based learning using support vector clustering". 2002.
    10.1109/ICONIP.2002.1201948
  108. Lopes, N.; Ribeiro, B.. "Hybrid learning in a multi neural network architecture". 2001.
  109. Carvalho, P.; Santos, A.; Dourado, A.; Ribeiro, B.. "Learning spectral calibration parameters for color inspection". 2001.
  110. Carvalho, P.; Santos, A.; Dourado, A.; Ribeiro, B.. "On the estimation of spectral data: A genetic algorithm approach". 2001.
  111. Silva, Catarina; Crisostomo, Manuel; Ribeiro, Bernardete. "MONODA: A neural modular architecture for obstacle avoidance without knowledge of the environment". 2000.
  112. Dimirovski, G.M.; Dourado, A.; Gough, N.E.; Ribeiro, B.; Stankovski, M.J.; Ting, I.H.; Tulunay, E.. "On learning control in industrial furnaces and boilers". 2000.
  113. Ribeiro, B.. "Fault detection in a thermoplastic injection molding process using neural networks". 1999.
  114. Costa, N.; Ribeiro, B.. "Artificial neural networks for data modelling of a plastic injection moulding process". 1999.
    10.1109/ICONIP.1999.844686
  115. Ribeiro, B.. "Prediction of the lime availability on an industrial kiln by neural networks". 1998.
  116. Ribeiro, B.; Dourado, A.; Costa, E.. "Neural network based control of a simulated industrial lime kiln". 1993.
Conference poster
  1. Torres, Luis H. M.; Ribeiro, Bernardete; Arrais, Joel. "Exploring a Siamese Neural Network Architecture for Drug Discovery". Paper presented in RECPAD2020, 26th Portuguese Conference on Pattern Recognition, 2020.
  2. Torres, Luis H. M.; Nelson R. C. Monteiro; Ribeiro, Bernardete; Oliveira, José Luis; Arrais, Joel. "Siamese Neural Networks for One-Shot Drug Discovery". Paper presented in BOD2020, Bioinformatics Open Days 2020, 2020.
  3. Leitão, Joaquim; Gil, Paulo; Ribeiro, Bernardete; Cardoso, Alberto. "Cyber-Physical Home Energy Management in Smart Homes". Paper presented in encontro Ciência '19, 2019.
  4. Nelson R. C. Monteiro; Ribeiro, Bernardete; Arrais, Joel. "End-to-End Deep Learning Approach for Drug-Target Interaction Prediction". Paper presented in Ciência2019, Science and Technology Summit, 2019.
  5. Oliveira, Nelson; P.A. Prates; Ribeiro, Bernardete; Prates, Pedro. "Evaluation of ensemble methods for predicting defects in sheet metal forming". Paper presented in 24th Portuguese Conference on Pattern Recognition (RECPAD 2018), 2018.
  6. Leitão, Joaquim; Gil, Paulo; Ribeiro, Bernardete; Cardoso, Alberto. "Adaptive Supervisory Framework for Cyber-Physical Systems". Paper presented in encontro Ciência '18, 2018.
  7. Sinche, Soraya; Ribeiro, Bernardete; Sá Silva, Jorge. "Motion Recognition from Accelerometer, Gyroscope and ECG Data". Paper presented in RECPAD 2016, 2016.
Edited book
  1. Cardoso, Alberto; Cesar A. Teixeira; Henriques, Jorge; Gil, Paulo; Guerra, Hélia; Arturo Garcia; Ribeiro, Bernardete; Silva Leite, F. ; rui araujo. Proc. of the 13th APCA - International Conference on Automatic Control and Soft-Computing. IEEE. 2018.
    Published
Journal article
  1. Torres, Luis H.M.; Ribeiro, Bernardete; Arrais, Joel P.. "Multi-scale cross-attention transformer via graph embeddings for few-shot molecular property prediction". Applied Soft Computing 153 (2024): 111268. http://dx.doi.org/10.1016/j.asoc.2024.111268.
    10.1016/j.asoc.2024.111268
  2. Francisco Antunes; Marco Amorim; Francisco Pereira; Bernardete Ribeiro. "Active learning metamodelling for survival rate analysis of simulated emergency medical systems". Transportmetrica A: Transport Science (2024): https://doi.org/10.1080/23249935.2022.2046203.
    10.1080/23249935.2022.2046203
  3. Mario Alberto da Silveira Dib; Pedro Prates; Bernardete Ribeiro. "SecFL – Secure Federated Learning Framework for predicting defects in sheet metal forming under variability". Expert Systems with Applications (2024): https://doi.org/10.1016/j.eswa.2023.121139.
    10.1016/j.eswa.2023.121139
  4. Llasag Rosero, Raúl; Silva, Catarina; Ribeiro, Bernardete; Santos, Bruno F.. "Label synchronization for Hybrid Federated Learning in manufacturing and predictive maintenance". Journal of Intelligent Manufacturing (2024): http://dx.doi.org/10.1007/s10845-023-02298-8.
    10.1007/s10845-023-02298-8
  5. Silva, Catarina; Andrade, Pedro; Ribeiro, Bernardete; F. Santos, Bruno. "Adaptive reinforcement learning for task scheduling in aircraft maintenance". Scientific Reports 13 1 (2023): http://dx.doi.org/10.1038/s41598-023-41169-3.
    10.1038/s41598-023-41169-3
  6. Luis H.M. Torres; Bernardete Ribeiro; Joel P. Arrais. "Few-shot learning with transformers via graph embeddings for molecular property prediction". Expert Systems with Applications (2023): https://doi.org/10.1016/j.eswa.2023.120005.
    10.1016/j.eswa.2023.120005
  7. Abbasi, Maryam; Beatriz P. Santos; Tiago C. Pereira; Raul Sofia; Nelson R. C. Monteiro; Simões, Carlos J. V. ; Rui M. M. Brito; et al. "Designing optimized drug candidates with Generative Adversarial Network". Journal of Cheminformatics 14 1 (2022): http://dx.doi.org/10.1186/s13321-022-00623-6.
    Published • 10.1186/s13321-022-00623-6
  8. Armando Marques; Mario Dib; Ali Khalfallah; Martinho Soares; Marta Oliveira; José Fernandes; Bernardete Ribeiro; Pedro Prates. "Machine Learning for Predicting Fracture Strain in Sheet Metal Forming". Metals (2022): https://doi.org/10.3390/met12111799.
    10.3390/met12111799
  9. Bruno Cardoso; Catarina Silva; Joana Costa; Bernardete Ribeiro. "Internet of Things Meets Computer Vision to Make an Intelligent Pest Monitoring Network". Applied Sciences (2022): https://doi.org/10.3390/app12189397.
    10.3390/app12189397
  10. Marques, Armando; Pereira, André; Ribeiro, Bernardete; Prates, Pedro A.. "On the Identification of Material Constitutive Model Parameters Using Machine Learning Algorithms". Key Engineering Materials 926 (2022): 2146-2153. http://dx.doi.org/10.4028/p-5hf550.
    10.4028/p-5hf550
  11. Raúl Llasag Rosero; Catarina Silva; Bernardete Ribeiro. "Remaining Useful Life Estimation of Cooling Units via Time-Frequency Health Indicators with Machine Learning". Aerospace 9 6 (2022): 309-309. https://doi.org/10.3390/aerospace9060309.
    10.3390/aerospace9060309
  12. Jorge Ribeiro; Pedro Andrade; Manuel Carvalho; Catarina Silva; Bernardete Ribeiro; Licínio Roque. "Playful Probes for Design Interaction with Machine Learning: A Tool for Aircraft Condition-Based Maintenance Planning and Visualisation". Mathematics 10 9 (2022): 1604-1604. https://doi.org/10.3390/math10091604.
    10.3390/math10091604
  13. Nguyen Huu Phong; Augusto Santos; Bernardete Ribeiro. "PSO-Convolutional Neural Networks With Heterogeneous Learning Rate". IEEE Access (2022): https://doi.org/10.1109/ACCESS.2022.3201142.
    10.1109/ACCESS.2022.3201142
  14. Nelson R. C. Monteiro; Bernardete Ribeiro; Joel P. Arrais. "Drug-Target Interaction Prediction: End-to-End Deep Learning Approach". IEEE/ACM Transactions on Computational Biology and Bioinformatics 18 6 (2021): 2364-2374. https://doi.org/10.1109/TCBB.2020.2977335.
    10.1109/TCBB.2020.2977335
  15. Tiago Oliveira Pereira; Abbasi, Maryam; José Luis Guimarães Oliveira; Ribeiro, Bernardete; Joel P. Arrais. Corresponding author: Abbasi, Maryam. "Optimizing blood-brain barrier permeation through deep reinforcement learning for de novo drug design". Bioinformatics 37 Supplement (2021): i84-i92. http://dx.doi.org/10.1093/bioinformatics/btab301.
    10.1093/bioinformatics/btab301
  16. Pedro Andrade; Catarina Silva; Bernardete Ribeiro; Bruno F. Santos. "Aircraft Maintenance Check Scheduling Using Reinforcement Learning". Aerospace 8 4 (2021): 113-113. https://doi.org/10.3390/aerospace8040113.
    10.3390/aerospace8040113
  17. da Silveira Dib, Mario Alberto; Ribeiro, Bernardete; Prates, Pedro. "Federated Learning as a Privacy-Providing Machine Learning for Defect Predictions in Smart Manufacturing". Smart and Sustainable Manufacturing Systems 5 1 (2021): 20200029. http://dx.doi.org/10.1520/ssms20200029.
    Published • 10.1520/ssms20200029
  18. Daniel Azevedo; Bernardete Ribeiro; Alberto Cardoso. "Prediction of the Remaining Useful Life of Aircraft Systems via Web Interface". International Journal of Online and Biomedical Engineering (iJOE) (2020): https://doi.org/10.3991/ijoe.v16i04.11873.
    10.3991/ijoe.v16i04.11873
  19. Lucas, Pedro; Silva, Jorge; Araujo, Filipe; Silva, Catarina; Gil, Paulo; Arrais, Joel P.; Coutinho, Daniel; et al. "NanoSen-AQM: From Sensors to Users". International Journal of Online and Biomedical Engineering (iJOE) 16 04 (2020): 51. http://dx.doi.org/10.3991/ijoe.v16i04.11871.
    10.3991/ijoe.v16i04.11871
  20. Sharma, Rahul; Ribeiro, Bernardete; Miguel Pinto, Alexandre; Cardoso, F. Amílcar. "Exploring Geometric Feature Hyper-Space in Data to Learn Representations of Abstract Concepts". Applied Sciences 10 6 (2020): 1994. http://dx.doi.org/10.3390/app10061994.
    10.3390/app10061994
  21. Joaquim Leitao; Paulo Gil; Bernardete Ribeiro; Alberto Cardoso. "A Survey on Home Energy Management". IEEE Access 8 (2020): 5699-5722. https://doi.org/10.1109/ACCESS.2019.2963502.
    10.1109/ACCESS.2019.2963502
  22. Antunes, F.; Amorim, M.; Pereira, F.C.; Ribeiro, B.. "Active learning metamodeling for policy analysis: Application to an emergency medical service simulator". Simulation Modelling Practice and Theory 97 (2019): http://www.scopus.com/inward/record.url?eid=2-s2.0-85069619066&partnerID=MN8TOARS.
    10.1016/j.simpat.2019.101947
  23. Chen, N.; Ribeiro, B.; Chen, A.; Tang, C.. "Optimization of selective ensemble for cost-sensitive classification: An empirical study". Intelligent Decision Technologies 12 4 (2019): 399-410. http://www.scopus.com/inward/record.url?eid=2-s2.0-85060061454&partnerID=MN8TOARS.
    10.3233/IDT-180344
  24. Chen, N.; Ribeiro, B.; Tang, C.; Chen, A.. "Multi-label learning vector quantization for semi-supervised classification". Intelligent Data Analysis 23 4 (2019): 839-853. http://www.scopus.com/inward/record.url?eid=2-s2.0-85073115457&partnerID=MN8TOARS.
    10.3233/IDA-184195
  25. Costa, J.; Silva, C.; Antunes, M.; Ribeiro, B.. "Boosting dynamic ensemble’s performance in Twitter". Neural Computing and Applications (2019): http://www.scopus.com/inward/record.url?eid=2-s2.0-85074859680&partnerID=MN8TOARS.
    10.1007/s00521-019-04599-7
  26. Leitão, J.; Simões, N.; Marques, J.A.S.; Gil, P.; Ribeiro, B.; Cardoso, A.. "Detecting urban water consumption patterns: A time-series clustering approach". Water Science and Technology: Water Supply 19 8 (2019): 2323-2329. http://www.scopus.com/inward/record.url?eid=2-s2.0-85076586856&partnerID=MN8TOARS.
    10.2166/ws.2019.113
  27. Dib, M.A.; Oliveira, N.J.; Marques, A.E.; Oliveira, M.C.; Fernandes, J.V.; Ribeiro, B.M.; Prates, P.A.. "Single and ensemble classifiers for defect prediction in sheet metal forming under variability". Neural Computing and Applications (2019): http://www.scopus.com/inward/record.url?eid=2-s2.0-85077032631&partnerID=MN8TOARS.
    10.1007/s00521-019-04651-6
  28. Melo, Bernardete F.; Sacramento, Joana F.; Ribeiro, Maria J.; Prego, Claudia S.; Correia, Miguel C.; Coelho, Joana C.; Cunha-Guimaraes, Joao P.; et al. "Evaluating the Impact of Different Hypercaloric Diets on Weight Gain, Insulin Resistance, Glucose Intolerance, and its Comorbidities in Rats". (2019): http://www.scopus.com/inward/record.url?scp=85067310280&partnerID=8YFLogxK.
    https://doi.org/10.3390/nu11061197
  29. Bezzeghoud, Mourad; Araujo, Alexandre; Gomes, Carlos Pinto; Carapau, Fernando; Santos, Maria Hortense. "Considerations for a cloud-based system for IoT data acquisition from heterogeneous sensors". (2019): https://siiue.uevora.pt/files/anexo_informacao/284095.
  30. Ribeiro, Bernardete. "DENSER: deep evolutionary network structured representation". (2018):
    10.1007/s10710-018-9339-y
  31. Francisco Antunes; Bernardete Ribeiro; Francisco C. Pereira; Rui Gomes. "Efficient Transport Simulation With Restricted Batch-Mode Active Learning". IEEE Transactions on Intelligent Transportation Systems 19 11 (2018): 3642-3651. https://doi.org/10.1109/TITS.2018.2842695.
    10.1109/TITS.2018.2842695
  32. Lopes, Noel; Ribeiro, Bernardete. "Novel Trends in Scaling Up Machine Learning Algorithms". (2018): http://hdl.handle.net/10314/4183.
  33. Ribeiro, Bernardete Martins; Chen, Ning. "Financial credit risk assessment via learning-based hashing". (2017): http://hdl.handle.net/10316/87225.
  34. Ribeiro, Bernardete; Chen, Ning; Kovacec, Alexander. "Shaping graph pattern mining for financial risk". (2017): http://hdl.handle.net/10316/44244.
    10.1016/j.neucom.2017.01.119
  35. Costa, Joana; Silva, Catarina; Antunes, Mário; Ribeiro, Bernardete; Costa, J.; Silva, C.; Antunes, M.; Ribeiro, B.. "Adaptive learning for dynamic environments: A comparative approach". Engineering Applications of Artificial Intelligence 65 (2017): 336-345. http://hdl.handle.net/10316/44320.
    10.1016/j.engappai.2017.08.004
  36. Rodrigues, Filipe; Lourenco, Mariana; Ribeiro, Bernardete; Pereira, Francisco. "Learning Supervised Topic Models for Classification and Regression from Crowds". (2017): http://hdl.handle.net/10316/44319.
    10.1109/TPAMI.2017.2648786
  37. Antunes, Francisco; Ribeiro, Bernardete; Pereira, Francisco. "Probabilistic modeling and visualization for bankruptcy prediction". (2017): http://hdl.handle.net/10316/44340.
    10.1016/j.asoc.2017.06.043
  38. Ribeiro, Bernardete. "Financial Credit Risk Assessment via Learning-based Hashing". Intelligent Decision Technologies, IOS Press (2017): http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000406133700004&KeyUID=WOS:000406133700004.
    10.3233/IDT-170286
  39. Ribeiro, Bernardete; B Ribeiro. "Convex Hull Calculations: a Matlab Implementation and Correctness Proofs for the lrs-algorithm”,". arXiv preprint:1604.06112v1 (2016):
  40. Chen, Ning; Ribeiro, Bernardete; Chen, An. "Financial credit risk assessment: a recent review". (2016): http://hdl.handle.net/10400.22/10218.
    10.1007/s10462-015-9434-x
  41. AghaeiRad, Ali; Chen, Ning; Ribeiro, Bernardete. "Improve credit scoring using transfer of learned knowledge from self-organizing map". (2016): http://hdl.handle.net/10316/44341.
    10.1007/s00521-016-2567-2
  42. Chen, Ning; Ribeiro, Bernardete; Chen, An. "Financial credit risk assessment: a recent review". (2016): http://hdl.handle.net/10400.22/10218.
    10.1007/s10462-015-9434-x
  43. B Ribeiro. "Towards Tangible Benefits of Corporate Failure Prediction with Business Sector: A Comparative Study". International Journal of Intelligent Technologies, IOS Press (2016):
    10.3233/IDT-160269
  44. B Ribeiro. "Importance Weighted Import Vector Machine for Unsupervised Domain Adaptation". IEEE Transactions on Cybernetics, December 2016 (2016): http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000409311800027&KeyUID=WOS:000409311800027.
    10.1109/TCYB.2016.2616119
  45. B Ribeiro. "A Bayesian additive model for understanding public transport usage in special events". IEEE Transactions on Pattern Analysis and Machine Intelligence (2016): http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000412028600001&KeyUID=WOS:000412028600001.
    10.1109/TPAMI.2016.2635136
  46. B Ribeiro. "Consensus-based Approach for Keyword Extraction from Urban Events Collections". Advances in Distributed Computing and Artificial Intelligence Journal (2016): http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000422599900003&KeyUID=WOS:000422599900003.
    10.14201/ADCAIJ2015424160
  47. B Ribeiro. "RtpExtSteg: A Practical VoIP Network Steganography Exploiting RTP Extension Header". IEEE COM SOC MMTC E-Letter (2016):
  48. Lopes, Noel; Ribeiro, Bernardete. "On the Impact of Distance Metrics in Instance-Based Learning Algorithms". (2015): http://hdl.handle.net/10314/3247.
    Open access • 10.1007/978-3-319-19390-8 6
  49. Ribeiro, B.; Chen, N.. "Aggregated local models via subspace clustering". Intelligent Decision Technologies 9 2 (2015): 153-165. http://www.scopus.com/inward/record.url?eid=2-s2.0-84928163061&partnerID=MN8TOARS.
    10.3233/IDT-140213
  50. Freiria, S.; Ribeiro, B.; Tavares, A.O.. "Understanding road network dynamics: Link-based topological patterns". Journal of Transport Geography 46 (2015): 55-66. http://www.scopus.com/inward/record.url?eid=2-s2.0-84929493787&partnerID=MN8TOARS.
    10.1016/j.jtrangeo.2015.05.002
  51. Ribeiro, Bernardete; Chen, Ning. "Dimensionality Reduction Using Graph Weighted Subspace Learning for Bankruptcy Prediction". Real World Data Mining Applications, Annals of Information Systems, Springer (2015): 155-178. http://link.springer.com/chapter/10.1007%2F978-3-319-07812-0_9#.
    10.1007/978-3-319-07812-0_9
  52. Figueiredo, M.; Ribeiro, B.; de Almeida, A.. "Analysis of trends in seasonal electrical energy consumption via non-negative tensor factorization". Neurocomputing 170 (2015): 318-327. http://www.scopus.com/inward/record.url?eid=2-s2.0-84940615084&partnerID=MN8TOARS.
    10.1016/j.neucom.2015.03.088
  53. Chen, N.; Ribeiro, B.; Chen, A.. "Comparative study of classifier ensembles for cost-sensitive credit risk assessment". Intelligent Data Analysis 19 1 (2014): 127-144. http://www.scopus.com/inward/record.url?eid=2-s2.0-84919487150&partnerID=MN8TOARS.
    10.3233/IDA-140700
  54. Figueiredo, M.; Ribeiro, B.; De Almeida, A.. "Electrical signal source separation via nonnegative tensor factorization using on site measurements in a smart home". IEEE Transactions on Instrumentation and Measurement 63 2 (2014): 364-373. http://www.scopus.com/inward/record.url?eid=2-s2.0-84892444173&partnerID=MN8TOARS.
    10.1109/TIM.2013.2278596
  55. Rodrigues, F.; Pereira, F.; Ribeiro, B.. "Sequence labeling with multiple annotators". Machine Learning 95 2 (2014): 165-181. http://www.scopus.com/inward/record.url?eid=2-s2.0-84898827632&partnerID=MN8TOARS.
    10.1007/s10994-013-5411-2
  56. Lopes, N.; Ribeiro, B.. "Towards adaptive learning with improved convergence of deep belief networks on graphics processing units". Pattern Recognition 47 1 (2014): 114-127. http://www.scopus.com/inward/record.url?eid=2-s2.0-84885018698&partnerID=MN8TOARS.
    10.1016/j.patcog.2013.06.029
  57. Costa, Joana; Silva, Catarina; Antunes, Mário; Ribeiro, Bernardete. "Customized crowds and active learning to improve classification". (2013): http://hdl.handle.net/10316/27286.
    Open access • 10.1016/j.eswa.2013.06.072
  58. Salgado,João Victor; França,Ana Karina; Cabral,Nayra Anielly; Lages,Joyce; Ribeiro,Valdinar Sousa; Santos,Alcione Miranda; Salgado,Bernardete Jorge. "Cystatin C, kidney function, and cardiovascular risk factors in primary hypertension". (2013): http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-42302013000100007.
  59. Rodrigues, Filipe; Pereira, Francisco; Ribeiro, Bernardete. "Learning from multiple annotators: distinguishing good from random labelers". (2013): http://hdl.handle.net/10316/27407.
    10.1016/j.patrec.2013.05.012
  60. Chen, N.; Ribeiro, B.; Vieira, A.; Chen, A.. "Clustering and visualization of bankruptcy trajectory using self-organizing map". Expert Systems with Applications 40 1 (2013): 385-393. http://www.scopus.com/inward/record.url?eid=2-s2.0-84866105753&partnerID=MN8TOARS.
    10.1016/j.eswa.2012.07.047
  61. Ludwig, O.; Nunes, U.; Ribeiro, B.; Premebida, C.. "Improving the generalization capacity of cascade classifiers". IEEE Transactions on Cybernetics 43 6 (2013): 2135-2146. http://www.scopus.com/inward/record.url?eid=2-s2.0-84890033370&partnerID=MN8TOARS.
    10.1109/TCYB.2013.2240678
  62. Chen, N.; Chen, A.; Ribeiro, B.. "Influence of class distribution on cost-sensitive learning: A case study of bankruptcy analysis". Intelligent Data Analysis 17 3 (2013): 423-437. http://www.scopus.com/inward/record.url?eid=2-s2.0-84878931832&partnerID=MN8TOARS.
    10.3233/IDA-130587
  63. Borges, R.P.; Ribeiro, B.; Cruz, M.M.; Godinho, M.; Wahl, U.; Da Silva, R.C.; Gonçalves, A.P.; Magén, C.. "Nanoparticles of Ni in ZnO single crystal matrix". European Physical Journal B 86 6 (2013): http://www.scopus.com/inward/record.url?eid=2-s2.0-84898878689&partnerID=MN8TOARS.
    10.1140/epjb/e2013-40008-5
  64. Ribeiro, B.; Godinho, M.; Cardoso, C.; Borges, R.P.; Gasche, T.P.. "Self-doping and the role of oxygen vacancies in the magnetic properties of cubic BaFeO3-d". Journal of Applied Physics 113 8 (2013): http://www.scopus.com/inward/record.url?eid=2-s2.0-84874866226&partnerID=MN8TOARS.
    10.1063/1.4792664
  65. Lopes, N.; Ribeiro, B.. "Handling missing values via a neural selective input model". Neural Network World 22 4 (2012): 357-370. http://www.scopus.com/inward/record.url?eid=2-s2.0-84866706529&partnerID=MN8TOARS.
  66. Direito, B.; Teixeira, C.; Ribeiro, B.; Castelo-Branco, M.; Dourado, A.. "Space time frequency (STF) code tensor for the characterization of the epileptic preictal stage.". Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference 2012 (2012): 621-624. http://www.scopus.com/inward/record.url?eid=2-s2.0-84883576712&partnerID=MN8TOARS.
  67. Ribeiro, B.; Silva, C.; Chen, N.; Vieira, A.; Carvalho Das Neves, J.. "Enhanced default risk models with SVM+". Expert Systems with Applications 39 11 (2012): 10140-10152. http://www.scopus.com/inward/record.url?eid=2-s2.0-84859430284&partnerID=MN8TOARS.
    10.1016/j.eswa.2012.02.142
  68. Figueiredo, M.; de Almeida, A.; Ribeiro, B.. "Home electrical signal disaggregation for non-intrusive load monitoring (NILM) systems". Neurocomputing 96 (2012): 66-73. http://www.scopus.com/inward/record.url?eid=2-s2.0-84864391557&partnerID=MN8TOARS.
    10.1016/j.neucom.2011.10.037
  69. Direito, B.; Teixeira, C.; Ribeiro, B.; Castelo-Branco, M.; Sales, F.; Dourado, A.. "Modeling epileptic brain states using EEG spectral analysis and topographic mapping". Journal of Neuroscience Methods 210 2 (2012): 220-229. http://www.scopus.com/inward/record.url?eid=2-s2.0-84865315355&partnerID=MN8TOARS.
    10.1016/j.jneumeth.2012.07.006
  70. Lopes, N.; Ribeiro, B.. "Towards a hybrid NMF-based neural approach for face recognition on GPUs". International Journal of Data Mining, Modelling and Management 4 2 (2012): 138-155. http://www.scopus.com/inward/record.url?eid=2-s2.0-84870263543&partnerID=MN8TOARS.
    10.1504/IJDMMM.2012.046807
  71. Borges, R.P.; Ribeiro, B.; Costa, A.R.G.; Silva, C.; Da Silva, R.C.; Evans, G.; Gonçalves, A.P.; et al. "Erratum: Magnetic and transport properties of transition-metal implanted ZnO single crystals (European Physical Journal B (2011) 79 (185))". European Physical Journal B 85 3 (2012): http://www.scopus.com/inward/record.url?eid=2-s2.0-84859015602&partnerID=MN8TOARS.
    10.1140/epjb/e2012-30089-y
  72. Ribeiro, B.; Borges, R.P.; Da Silva, R.C.; Franco, N.; Ferreira, P.; Alves, E.; Berini, B.; et al. "Structural and magnetic properties of thin films of BaFeO 3-d deposited by pulsed injection metal-organic chemical vapor deposition". Journal of Applied Physics 111 11 (2012): http://www.scopus.com/inward/record.url?eid=2-s2.0-84863325747&partnerID=MN8TOARS.
    10.1063/1.4729269
  73. Chen, Ning; Ribeiro, Bernardete; Chen, An. "Using Non-negative Matrix Factorization for Bankruptcy Analysis". (2011): http://www.dcc.ufla.br/infocomp/index.php/INFOCOMP/article/view/342.
  74. Chen, N.; Ribeiro, B.; Vieira, A.S.; Duarte, J.; Neves, J.C.. "A genetic algorithm-based approach to cost-sensitive bankruptcy prediction". Expert Systems with Applications 38 10 (2011): 12939-12945. http://www.scopus.com/inward/record.url?eid=2-s2.0-79957982142&partnerID=MN8TOARS.
    10.1016/j.eswa.2011.04.090
  75. Chen, N.; Vieira, A.; Ribeiro, B.; Duarte, J.; Neves, J.. "A stable credit rating model based on learning vector quantization". Intelligent Data Analysis 15 2 (2011): 237-250. http://www.scopus.com/inward/record.url?eid=2-s2.0-79953297716&partnerID=MN8TOARS.
    10.3233/IDA-2010-0465
  76. Lopes, N.; Ribeiro, B.. "An evaluation of multiple feed-forward networks on GPUs". International Journal of Neural Systems 21 1 (2011): 31-47. http://www.scopus.com/inward/record.url?eid=2-s2.0-78751474732&partnerID=MN8TOARS.
    10.1142/S0129065711002638
  77. Borges, R.P.; Ribeiro, B.; Costa, A.R.G.; Silva, C.; Da Silva, R.C.; Evans, G.; Gonçalves, A.P.; Cruz, M.M.; Godinho, M.. "Magnetic and transport properties of transition-metal implanted ZnO single crystals". European Physical Journal B 79 2 (2011): 185-195. http://www.scopus.com/inward/record.url?eid=2-s2.0-79951510852&partnerID=MN8TOARS.
    10.1140/epjb/e2010-10512-3
  78. Mendes, F.; Duarte, J.; Vieira, Armando; Ribeiro, Bernardete; Ribeiro, André M. S.; Neves, João Carvalho; Gaspar-Cunha, A.. "Feature selection for bankruptcy prediction : a multi-objective optimization approach". (2010): http://hdl.handle.net/1822/13218.
    10.4018/978-1-4666-1574-8.ch009
  79. Liu, Q.; Sung, A.H.; Qiao, M.; Chen, Z.; Ribeiro, B.. "An improved approach to steganalysis of JPEG images". Information Sciences 180 9 (2010): 1643-1655. http://www.scopus.com/inward/record.url?eid=2-s2.0-76349121292&partnerID=MN8TOARS.
    10.1016/j.ins.2010.01.001
  80. Silva, C.; Lotric, U.; Ribeiro, B.; Dobnikar, A.. "Distributed text classification with an ensemble kernel-based learning approach". IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews 40 3 (2010): 287-297. http://www.scopus.com/inward/record.url?eid=2-s2.0-77951205647&partnerID=MN8TOARS.
    10.1109/TSMCC.2009.2038280
  81. Beliczynski, B.; Ribeiro, B.. "Some enhancements to approximation of one-variable functions by orthonormal basis". Neural Network World 19 5 (2009): 401-412. http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000271688500002&KeyUID=WOS:000271688500002.
  82. Ferreira, J.P.; Crisostomo, M.M.; Coimbra, A.P.; Ribeiro, B.. "Control of a biped robot with support vector regression in sagittal plane". IEEE Transactions on Instrumentation and Measurement 58 9 (2009): 3167-3176. http://www.scopus.com/inward/record.url?eid=2-s2.0-69249215240&partnerID=MN8TOARS.
    10.1109/TIM.2009.2017148
  83. Liu, Q.; Sung, A.H.; Ribeiro, B.; Wei, M.; Chen, Z.; Xu, J.; Liu, Qingzhong; et al. "Image complexity and feature mining for steganalysis of least significant bit matching steganography". Information Sciences 178 1 (2008): 21-36. http://www.scopus.com/inward/record.url?eid=2-s2.0-34948833733&partnerID=MN8TOARS.
    10.1016/j.ins.2007.08.007
  84. Silva, C.; Ribeiro, B.. "Towards expanding relevance vector machines to large scale datasets". International Journal of Neural Systems 18 1 (2008): 45-58. http://www.scopus.com/inward/record.url?eid=2-s2.0-43949132994&partnerID=MN8TOARS.
    10.1142/S0129065708001361
  85. Silva, Catarina; Ribeiro, Bernardete. "On Text-based Mining with Active Learning and Background Knowledge Using SVM". (2007): http://hdl.handle.net/10316/7640.
    Open access
  86. Ribeiro, B.; Marques, A.; Henriques, J.; Antunes, M.. "Choosing real-time predictors for ventricular arrhythmia detection". International Journal of Pattern Recognition and Artificial Intelligence 21 8 (2007): 1249-1263. http://www.scopus.com/inward/record.url?eid=2-s2.0-38149117946&partnerID=MN8TOARS.
    10.1142/S0218001407005934
  87. Silva, C.; Ribeiro, B.. "On text-based mining with active learning and background knowledge using SVM". Soft Computing 11 6 (2007): 519-530. http://www.scopus.com/inward/record.url?eid=2-s2.0-33846439346&partnerID=MN8TOARS.
    10.1007/s00500-006-0080-8
  88. Silva, C.; Ribeiro, B.. "Rare class text categorization with SVM ensemble". Przeglad Elektrotechniczny 82 1 (2006): 28-31. http://www.scopus.com/inward/record.url?eid=2-s2.0-32044469209&partnerID=MN8TOARS.
  89. Beliczynski, B.; Ribeiro, B.. "Tuning parameters of the simple forecasting models". Przeglad Elektrotechniczny 82 12 (2006): 1-4. http://www.scopus.com/inward/record.url?eid=2-s2.0-33846006945&partnerID=MN8TOARS.
  90. Ribeiro, Bernardete; Ribeiro, B.. "Support vector machines for quality monitoring in a plastic injection molding process". IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews 35 3 (2005): 401-410. http://hdl.handle.net/10316/12915.
    10.1109/TSMCC.2004.843228
  91. Ribeiro, B.. "On the evaluation of Minkovsky kernel for SVMs". Neural, Parallel and Scientific Computations 13 1 (2005): 77-90. http://www.scopus.com/inward/record.url?eid=2-s2.0-25844460019&partnerID=MN8TOARS.
  92. Ribeiro, B.. "Selective classification and regression models based on support vector clustering". Neural, Parallel and Scientific Computations 13 3-4 (2005): 327-336. http://www.scopus.com/inward/record.url?eid=2-s2.0-31344464835&partnerID=MN8TOARS.
  93. Ribeiro, B.. "Computational Intelligence in Manufacturing Quality Control". Prezeglad Elektrotechiniczny (Electrotecnical Review Journal) 80 4 (2004): 286-290.
  94. Noel Lopes; Ribeiro, B.. "An efficient Gradient-Based Learning Algorithm Applied to Neural Networks with Selective Actuation Neurons". Neural, Parallel and Scientific Computations 11 n/a (2003): 253-272.
  95. Silva, C.; Ribeiro, B.. "Navigating mobile robots with a modular neural architecture". Neural Computing and Applications 12 3-4 (2003): 200-211. http://www.scopus.com/inward/record.url?eid=2-s2.0-0346342559&partnerID=MN8TOARS.
    10.1007/s00521-003-0383-y
  96. Carvalho, P.; Costa, N.; Ribeiro, B.; Dourado, A.. "On the use of neural networks and geometrical criteria for localisation of highly irregular elliptical shapes". Pattern Analysis and Applications 2 4 (1999): 321-342. http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000084072500005&KeyUID=WOS:000084072500005.
    10.1007/s100440050040
  97. Carvalho, P.; Costa, N.; Ribeiro, B.; Dourado, A.. "Industrial visual inspection of lime granules by neural networks". Computers and Industrial Engineering 35 3-4 (1998): 539-542. http://www.scopus.com/inward/record.url?eid=2-s2.0-0032307082&partnerID=MN8TOARS.
    10.1016/S0360-8352(98)00153-3
Report
  1. Dib, Mario; Ribeiro, Bernardete; Pedro A. Prates. Corresponding author: Dib, Mario. 2017. Comparison of Machine Learning Algorithms to Build a Model for Predicting Defects in Sheet Metal Forming Processes. https://www.cisuc.uc.pt/ckfinder/userfiles/files/TR%202017-03(1).pdf.
  2. Araújo, Filipe; Ribeiro, Bernardete; Rodrigues, Luís; Araújo, F.; Ribeiro, B.; Rodrigues, L.. 2000. A Neural Network for Shortest Path Computation. http://hdl.handle.net/10451/14147.
    10.1109/72.950136
Thesis / Dissertation
  1. Ferreira, Pedro Filipe Soares. "Deep Reinforcement Learning for Condition Based Monitoring in Aircraft Planning". Master, 2019. http://hdl.handle.net/10316/88031.
  2. Sereno, David Martins Duarte. "Automatic Evolution of Deep AutoEncoders". Master, 2018. http://hdl.handle.net/10316/84362.
  3. Coelho, Guilherme Pedro Antunes Carvalhas Gabriel. "Computational discovery of drug-target interaction". Master, 2018. http://hdl.handle.net/10316/86211.
  4. Oliveira, Nelson Joukov Costa de. "Retweet Predictive Model in Twitter". Master, 2018. http://hdl.handle.net/10316/83564.
  5. Silva, José Miguel Parreira e. "Finding the Critical Feature Dimension of Big Datasets". Master, 2017. http://hdl.handle.net/10316/82847.
  6. Barata, Ricardo Jorge Dias. "Previsão de crises epiléticas utilizando características univariativas e Stacked Autoencoders". Master, 2017. http://hdl.handle.net/10316/84365.
  7. Rodrigues, Filipe Manuel Pereira Duarte. "Probabilistic models for learning from crowdsourced data". PhD, 2016. http://hdl.handle.net/10316/29454.
  8. Khalighi, Sirvan. "Learning Under Distribution Mismatch Applied in Biosignal Processing". PhD, 2016. http://hdl.handle.net/10316/31266.
  9. Lourenço, Mariana Rodrigues. "Supervised Topic Models with Multiple Annotators". Master, 2015. http://hdl.handle.net/10316/35717.
  10. Oliveira, Goncalo Filipe Palaio; B Ribeiro. "SABADO - SmArt BrAnd DetectiOn". Master, 2015. http://hdl.handle.net/10316/35697.
  11. Frutuoso, Daniel Gonçalves. "SMITH - Smart MonITor Health system". Master, 2015. http://hdl.handle.net/10316/35703.
  12. Frutuoso, Manuel Levi Lacerda Amaral Eirô. "Parsimonious sensing with Active Learning: applications with context mining and environmental sensing". Master, 2015. http://hdl.handle.net/10316/35661.
  13. Lopes, Noel. "Machine Learning for Adaptive Multi-Core Machines". PhD, 2014. http://hdl.handle.net/10316/23773.
  14. Figueiredo, Marisa. "Contributions to Electrical Energy Disaggregation in a Smart Home". PhD, 2014. http://hdl.handle.net/10316/24256.
  15. 0. "Ensemble Learning for Keyword Extraction". Master, 2013. http://hdl.handle.net/10316/35576.
  16. Silva, Catarina Helena Branco Simões da; Silva, C.; Ribeiro, B.; B Ribeiro; Silva, Catarina; Ribeiro, Bernardete. "Inductive inference for large scale text classification". PhD, 2009. http://hdl.handle.net/10316/9689.
    10.1109/CEC.2010.5586169
  17. Carvalho, Paulo Fernando Pereira de. "Contribuição para a calibração de sistemas de aquisição de imagem : tratamento da complexidade por selecção automática da estrutura de modelos". PhD, 2002. http://hdl.handle.net/10316/1764.
  18. Araújo, Filipe João Boavida de Mendonça Machado de. "Aplicação das redes de Hopfield no encaminhamento em redes de dados". Master, 1999. http://hdl.handle.net/10316/10201.
  19. Ribeiro, Bernardete Martins. "Contribuição para a modelização, supervisão e controlo de sistemas multivariáveis não lineares por redes neuronais com aplicação a um forno de cal". PhD, 1995. http://hdl.handle.net/10316/1903.
  20. Ribeiro, Bernardete Martins. "DINTER : um simulador de processos de destilação". 1986. http://hdl.handle.net/10316/13918.

Other

Other output
  1. Diversity Oriented Deep Reinforcement Learning for Targeted Molecule Generation. 2020. Tiago Pereira; Maryam Abbasi; Bernardete Ribeiro; Joel P. Arrais. https://doi.org/10.21203/rs.3.rs-110570/v1.
    10.21203/rs.3.rs-110570/v1
  2. Generating Datasets with Drift. 2015. B Ribeiro.
  3. Glucose Level Prediction in Diabetic Patients. 2015. B Ribeiro.
  4. Handwritten Signature Matching using GPUMLib. 2014. B Ribeiro.
  5. Learning with Drift in Twitter. 2014. B Ribeiro.
  6. Programa, Conteúdos e Métodos de Ensino Teórico e Prático : Técnicas de Reconhecimento de Padrões. Relatório de unidade curricular, apresentado para provas de agregação em Engenharia Informática, da Faculdade de Ciências e Tecnologia da Universidade de Coimbra. 2010. Ribeiro, Bernardete Martins. http://hdl.handle.net/10316/17602.
    RIBEIRO, Bernardete Martins - Programa, Conteúdos e Métodos de Ensino Teórico e Prático : Técnicas de Reconhecimento de Padrões [em linha]. Coimbra : [s.n], 2010. [Consult. Dia Mês Ano]. Relatório de Unidade Curricular apresentado para Provas de Agregação
  7. Computational Intelligence: Neural Networks and Kernel Methods. Sumário do seminário apresentado para provas de agregação em Engenharia Informática da Faculdade de Ciências e Tecnologia da Universidade de Coimbra. 2010. Ribeiro, Bernardete Martins. http://hdl.handle.net/10316/17603.
    RIBEIRO, Bernardete Martins - Computational Intelligence: Neural Networks and Kernel Methods [em linha]. Coimbra : [s.n], 2010. [Consult. Dia Mês Ano]. Sumário do seminário apresentado para Provas de Agregação. Disponível na WWW:
  8. An Inductive Inference Approach to Large Scale Text Categorisation. Artificial Neural Nets and Genetic Algorithms. 2003. Silva, Catarina; Ribeiro, Bernardete. http://dx.doi.org/10.1007/978-3-7091-0646-4_24.
    10.1007/978-3-7091-0646-4_24
Activities

Supervision

Thesis Title
Role 		Degree Subject (Type)
Institution / Organization
2023 - 2027 Machine Learning Models for Smart Farming
Co-supervisor
 Machine Learning, Smart farming (PhD)
2021 - 2025 Diagnóstico e prognóstico de falhas para gestão inteligente baseada em dados do estado de saúde em sistemas industriais complexos
Co-supervisor
 Machine Learning, Condition-Based Maintenance, Human in the Loop (PhD)
Universidade de Coimbra Departamento de Engenharia Informatica, Portugal
2021 - 2025 Desenho de modelos baseados em dados para a estimativa de parâmetros de chapas metálicas
Co-supervisor
 Machine Learning, MetaModels (PhD)
Universidade de Coimbra Departamento de Engenharia Mecânica, Portugal
2021 - 2025 Few Shot Learning for Drug Discovery
Co-supervisor
 Machine Learning, Bioinformática (PhD)
2021 - 2025 Learning the Representation Latent Space in Transformers and Autoencoders for Industry Applications
Co-supervisor
 Machine Learning (PhD)
2021 - 2024 COLLABORATIVE REMAINING USEFUL LIFE ESTIMATION VIA FEDERATED LEARNING
Co-supervisor
 Federated Learning (PhD)
Universidade de Coimbra Departamento de Engenharia Informatica, Portugal
2019 - 2024 SecFL: Secure Federated Learning Framework for Collaborative Defect Prediction in Manufacturing
Supervisor
 Machine Learning, Federated learning (PhD)
Universidade de Coimbra Departamento de Engenharia Informatica, Portugal
2019/10 - 2023/07 PATTERN RECOGNITION: CONTRIBUTIONS AND APPLICATIONS TO IMAGE CLASSIFICATION AND VIDEO RECOGNITION
Supervisor
 Computer Vision (PhD)
Universidade de Coimbra, Portugal
2019/09/01 - 2022/01/31 Adaptive Supervisory Framework for Cyber-Physical Systems - Optimal Scheduling of Smart Home Components
Co-supervisor
 Industry 4.0, Machine Learning, Pattern recognition (PhD)
Universidade de Coimbra, Portugal
2018/09/15 - 2021/09/15 Active Learning Metamodels for Transport Simulation Problems
Supervisor
 Machine Learning (PhD)
Universidade de Coimbra, Portugal
2018/04/14 - 2021/04/01 Neuro-evolution: representations, efficiency and development
Co-supervisor
 Artificial Intelligence (PhD)
Universidade de Coimbra, Portugal
2017/09/15 - 2020/06/15 Concept Creation with Regulated Activation Networks
Supervisor
2019 - 2019 Deep Reinforcement Learning for Condition Based Monitoring in Aircraft Planning
Supervisor
 Engenharia Informática (Master)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
2015 - 2019 CONCEPT CREATION WITH REGULATED ACTIVATION NETWORKS
Supervisor
 Model Criativity (PhD)
Universidade de Coimbra Departamento de Engenharia Informatica, Portugal
2018 - 2018 Automatic Evolution of Deep AutoEncoders
Co-supervisor
 Engenharia Informática (Master)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
2018 - 2018 Retweet Predictive Model in Twitter
Supervisor
 Engenharia Informática (Master)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
2018 - 2018 Computational discovery of drug-target interaction
Co-supervisor
 Engenharia Biomédica (Master)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
2015 - 2018 Information Extraction with Active Learning and CrowdSourcing
Supervisor
 Machine Learning, Information Extraction (PhD)
Universidade de Coimbra Departamento de Engenharia Informatica, Portugal
2017 - 2017 Finding the Critical Feature Dimension of Big Datasets
Supervisor
 Engenharia Informática (Master)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
2017 - 2017 Previsão de crises epiléticas utilizando características univariativas e Stacked Autoencoders
Co-supervisor
 Engenharia Biomédica (Master)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
2012 - 2016 Probabilistic models for learning from crowdsourced data
Co-supervisor
 Ciências e Tecnologias da Informação (PhD)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
2012 - 2016 Learning Under Distribution Mismatch Applied in Biosignal Processing
Co-supervisor
 Machine Learning (PhD)
Universidade de Coimbra Departamento de Engenharia Electrotécnica e de Computadores, Portugal
2015 - 2015 SMITH - Smart MonITor Health system
Supervisor
 Engenharia Informática (Master)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
2015 - 2015 Parsimonious sensing with Active Learning: applications with context mining and environmental sensing
Supervisor
 Engenharia Informática (Master)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
2015 - 2015 SABADO - SmArt BrAnd DetectiOn
Supervisor
 Engenharia Informática (Master)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
2015 - 2015 Supervised Topic Models with Multiple Annotators
Supervisor
 Engenharia Informática (Master)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
2015 - 2015 Criação de Conceitos com Redes de Activação Regulada
Supervisor
 Ciências e Tecnologias da Informação (PhD)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
2010 - 2014 Household Consumption: Energy Tracking and Behavior Modeling
Supervisor
 Signal Processing, Machine Learning (PhD)
Universidade de Coimbra Departamento de Engenharia Informatica, Portugal
2013 - 2013 Ensemble Learning for Keyword Extraction
Co-supervisor
 Engenharia Informática (Master)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
2012 - 2012 Extração de Informação Colaborativa em Ambientes Dinâmicos
Supervisor
 Ciências e Tecnologias da Informação (PhD)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
2009 - 2009 Heterogenous Structured Data Mining on Information Networks Incorporating Semantics
Supervisor
 Engenharia Informática (PhD)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
2005 - 2009 Machine Learning for Adaptive Multi-Core Machiness
Supervisor
 Machine Learning (PhD)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
2005 - 2009 Inferência Indutiva na Categorização de Texto Usando Máquinas de Vectores de Suporte
Supervisor
 Engenharia Informática (PhD)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
1998 - 2002 Contribuição para a Calibração de Sistemas de Aquisição de Imagem: Tratamento da Complexidade por Selecção de Modelos
Co-supervisor
 Computer Vision (PhD)
Universidade de Coimbra Departamento de Engenharia Informatica, Portugal

Association member

Society Organization name Role
2016 - Current Portuguese Association for Artificial Intelligence (APIA) Member
2016 - Current AAAS - American Association for the Advancement in Science Member
2012 - Current Portuguese Association for Pattern Recognition Former President (2018-2019), Member
2011 - Current ACM Computing Member
2008 - Current IEEE - Institute of Electrical and Electronics Engineers Senior Member
1998 - Current Portuguese Association of Automatic Control (APCA) Member

Committee member

Activity description
Role 		Institution / Organization
2015 - Current Scientific of the Department of Informatics Engineering
Member
 Universidade de Coimbra Centro de Informatica e Sistemas, Portugal

Journal scientific committee

Journal title (ISSN) Publisher
2018 - Current IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans (1558-2426) Institute of Electrical and Electronics Engineers
2013 - Current Journal of Data Mining and Digital Humanities (JDMDH)
2013 - Current International Journal of Machine Intelligence and Sensory Signal Processing (IJMISSP)
Distinctions

Award

2024 Pattern Recognition Award Aurora Pons Porrata

Other distinction

2019 APRP Scientific Merit Award
Associação Portuguesa de Reconhecimento de Padrões, Portugal
2017 Melhor Tese de Doutoramento atribuída a Filipe Rodrigues com o título “Probabilistic Models for Learning from Crowdsourced data” atribuído em Junho de 2017
2017 Menção Honrosa para a Tese de Doutoramento atribuída pela Associação Portuguesa Para a Inteligência Artificial (APPIA) a Filipe Rodrigues com o título “Probabilistic Models for Learning from Crowdsourced data”
2016 Best Paper Award, ""Twitter classification: are some examples better than other?", J Costa, C Silva, M. Antunes, B Ribeiro, RecPAD, Aveiro, October 2016
2015 Best Prize of MSc Thesis (Mariana Lourenço) (Advisor of Mariana Lourenço)
2013 Best article published by portuguese authors in international journals, "Modeling epileptic brain states using EEG spectral analysis and topographic mapping", J. Neuroscience M, Sep 2012 (w/B Direito, C Teixeira, A. Dourado, M.Castelo-Branco, F Sales )
2013 IEEE Senior Member Grade Elevation Notification
2010 AIRES - Advanced Intelligent Risk Evaluation System (Honnors Mention)
2009 Scientific Merit Award
2007 Best Paper Award
2001 Best Paper Award