???global.info.a_carregar???
Inês Dutra is an Assistant Professor in the Department of Computer Science of the Faculty of Sciences of the University of Porto, Portugal, where she teaches mostly subjects related with artificial intelligence, machine learning and distributed and parallel computation. Her main research interests are: logic programming; (probabilistic) inductive logic programming; statistical relational learning; parallelization; and biomedical applications. She obtained a Ph.D. in Computer Science in 1995 from University of Bristol, UK, an M.Sc. in Systems Engineering and Computer Science in 1988 from COPPE - Universidade Federal do Rio de Janeiro, Brazil and a B.Sc. in Mathematics - Informatics (4 years course) in 1985 from Universidade do Estado do Rio de Janeiro, Brazil.
Read full resume ↓
Identification

Personal identification

Full name
Inês Dutra

Citation names

  • Dutra, Inês

Author identifiers

Ciência ID
761D-F944-8A23
ORCID iD
0000-0002-3578-7769
Google Scholar ID
https://scholar.google.pt/citations?hl=en&user=MvkLC6gAAAAJ
Researcher Id
B-2881-2012
Scopus Author Id
24722670500

Knowledge fields

  • Exact Sciences - Computer and Information Sciences - Computer Sciences

Languages

Language Speaking Reading Writing Listening Peer-review
English Proficiency (C2) Proficiency (C2) Proficiency (C2) Proficiency (C2)
Italian Beginner (A1) Beginner (A1) Beginner (A1) Beginner (A1)
French Beginner (A1) Intermediate (B1) Beginner (A1) Beginner (A1)
Spanish; Castilian Elementary (A2) Intermediate (B1) Beginner (A1) Elementary (A2)
Education
Degree Classification
1995
Concluded
 Computer Science (Doutoramento)
University of Bristol, United Kingdom
"Distributing and-work and or-work in parallel logic programming systems" (THESIS/DISSERTATION)
 MB
1988
Concluded
 Mestrado em Engenharia de Sistemas e Computação (Mestrado)
COPPE - Universidade Federal do Rio de Janeiro, Brazil
"Implementação de uma máquina virtual Prolog: tradução e execução de programas" (THESIS/DISSERTATION)
 MB
1985
Concluded
 Bacharelado em Matemática - Modalidade Informática (curso de 4 anos de formação) (Licenciatura)
Universidade do Estado do Rio de Janeiro, Brazil
"B.Sc. em Matemática, modalidade infomática (curso de 4 anos de formação)" (THESIS/DISSERTATION)
 MB
Affiliation

Teaching in Higher Education

Category
Host institution 		Employer
2007/02 - Current Assistant Professor (University Teacher) Universidade do Porto, Portugal
Universidade do Porto Departamento de Ciência de Computadores, Portugal
1998/06/01 - 2007/02/01 Assistant Professor (University Teacher) Universidade Federal do Rio de Janeiro, Brazil

Positions / Appointments

Category
Host institution 		Employer
2008 - 2021/01 Conselho pedagógico Universidade do Porto, Portugal

Others

Category
Host institution 		Employer
2014 - Current Member of Research Unit Centro de Investigação em Tecnologias e Serviços de Saúde, Portugal
2017/10/21 - 2017/12/15 Short term scholar Carnegie-Mellon University- Heinz College, United States
2007 - 2016 Member of Research Unit Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência Center for Research in Advanced Computing Systems, Portugal
2014/10/10 - 2015/03/01 Investigador convidado na UW-Madison University of Wisconsin-Madison Department of Biostatistics and Medical Informatics, United States
2013/07/15 - 2013/09/13 Pesquisador Visitante na UW-Madison, EUA University of Wisconsin-Madison Department of Biostatistics and Medical Informatics, United States
2012/07/01 - 2012/08/31 Pesquisador visitante na UW-Madison, EUA. University of Wisconsin-Madison Department of Biostatistics and Medical Informatics, United States
2003/04/01 - 2004/03/01 Pesquisador Visitante University of Wisconsin-Madison Department of Biostatistics and Medical Informatics, United States
2001/10/01 - 2002/12/01 Pesquisador Visitante University of Wisconsin-Madison Department of Biostatistics and Medical Informatics, United States
1986/03/01 - 1998/10/01 M.Sc. em Engenharia de Sistemas e Computação Universidade Federal do Rio de Janeiro Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de Engenharia, Brazil
1985/12/01 - 1998/06/01 Analista de Sistemas Universidade Federal do Rio de Janeiro, Brazil
1990/03/01 - 1995/04/01 Ph.D. em Ciência da Computação University of Bristol Department of Computer Science, United Kingdom
1982/03/03 - 1985/12/17 Bacharelado em Matemática - Modalidade Informática Universidade do Estado do Rio de Janeiro, Brazil
Projects

Contract

Designation Funders
2019 - 2022 Safe Cities - Inovação para Cidades Seguras
POCI-01-0247-FEDER-041435
Researcher
Universidade do Porto Faculdade de Ciências, Portugal
Ongoing
2016/07/01 - 2019/08/01 Elven - Expressive Logics for VErifying the Net
PTDC/EEI-CTP/3506/2014
Universidade do Porto Faculdade de Ciências, Portugal

Instituto de Engenharia de Sistemas e Computadores, Portugal

Instituto de Telecomunicações, Portugal
Fundação para a Ciência e a Tecnologia
Concluded
2015 - 2018 Nanostima - Macro-to-NANO human Sensing: Towards Integrated multimodal health Mon- itoring and Analytics (NORTE-01-0145-FEDER-000016)
NORTE-01-0145-FEDER-000016
Researcher
Universidade do Porto, Portugal
 Comissao de Coordenacao e Desenvolvimento Regional do Norte
Concluded
2013/05/01 - 2015/08/31 ABLe: Advice-Based Learning for Health Care
PTDC/EEI-SII/2094/2012
Instituto de Engenharia de Sistemas e Computadores, Portugal
 Fundação para a Ciência e a Tecnologia
Concluded
2012/03/01 - 2015/08/31 ADE - Adverse Drug Effects Detection
PTDC/EIA-EIA/121686/2010
Instituto de Engenharia de Sistemas e Computadores, Portugal
 Fundação para a Ciência e a Tecnologia
Concluded
2011/03/01 - 2014/02/28 LEAP - Logic Environments with Advanced Parallelism
PTDC/EIA-CCO/112158/2009
Instituto de Engenharia de Sistemas e Computadores, Portugal
 Fundação para a Ciência e a Tecnologia
Concluded
2010/02/01 - 2013/07/31 DigiScope - DIGItally enhanced stethosCOPE for clinical usage
PTDC/EIA-CCO/100844/2008
Instituto de Telecomunicações, Portugal

Instituto de Engenharia de Sistemas e Computadores, Portugal

Universidade do Porto Faculdade de Medicina, Portugal
Fundação para a Ciência e a Tecnologia
Concluded
2010/04/01 - 2013/03/31 HORUS, Horn Representations of Uncertain Systems
PTDC/EIA-EIA/100897/2008
Instituto de Engenharia de Sistemas e Computadores, Portugal

Universidade de Évora, Portugal
Fundação para a Ciência e a Tecnologia
Concluded
Outputs

Publications

Book
  1. Barbosa, JG; Dutra, I; Barbosa,JG; Inês Dutra. Grid computing: Techniques and future prospects. 2015.
  2. Barbosa,JG; Inês Dutra. Grid computing: Techniques and future prospects. 2015.
Book chapter
  1. Barbosa, A; Ribeiro, P; Dutra, I. "Improving the Characterization and Comparison of Football Players with Spatial Flow Motifs". 2023.
    10.1007/978-3-031-21131-7_45
  2. Carla Silva; Marvin F. da Silva; Arlete Rodrigues; José Silva; Vítor Santos Costa; Alípio Jorge; Inês Dutra. "Predictive Maintenance for Sensor Enhancement in Industry 4.0". 2021.
    10.1007/978-981-16-1685-3_33
  3. Alberto Pinheira; Rodrigo Dias; Camila Nascimento; Inês Dutra. "Characterizing Bipolar Disorder-Associated Single Nucleotide Polymorphisms in a Large British Cohort Using Association Rules". 2020.
    10.1007/978-3-030-63061-4_20
  4. Velikova, M; Dutra, I; Burnside, ES; Velikova,M; Inês Dutra; Burnside,ES. "Automated Diagnosis of Breast Cancer on Medical Images". 2015.
    10.1007/978-3-319-28007-3_4
  5. Velikova,M; Inês Dutra; Burnside,ES. "Automated Diagnosis of Breast Cancer on Medical Images". 2015.
    http://dx.doi.org/10.1007/978-3-319-28007-3_4
Conference abstract
  1. Dias, R; Salvini, R; Dutra, I; Lafer, B. "A multi-relational model for depression relapse in patients with bipolar disorder by means of a machine learning approach". 2015.
Conference paper
  1. Neto, MTRS; Dutra, I; Mollinetti, MAF. "Map-Optimize-Learn: Predicting Cardiac Pathology in Children and Teenagers with a Deep Learning Based Tabular Learning Method". 2022.
    10.1109/ijcnn55064.2022.9889788
  2. Neto, MS; Mollinetti, M; Dutra, I. "Data Domain Change and Feature Selection to Predict Cardiac Pathology with a 2D Clinical Dataset and Convolutional Neural Networks (Student Abstract)". 2021.
  3. Carrera, I; Tejera, E; Dutra, I. "Simple Matrix Factorization Collaborative Filtering for Drug Repositioning on Cell Lines". 2021.
  4. Silva, C; Aguiar, A; Dutra, I. "Quantum Binary Classification (Student Abstract)". 2021.
  5. Barbosa, A; Ribeiro, P; Dutra, I. "Similarity of Football Players Using Passing Sequences". 2021.
    10.1007/978-3-031-02044-5_5
  6. Carrera, I; Dutra, I; Tejera, E. "Representing Cellular Lines with SVM and Text Processing". 2020.
    10.1145/3388440.3414912
  7. Machado, D; Costa, VS; Dutra, I; Brandao, P. "Diabetes Management Guidance by a Logical Unit Supported by Data-Mining in a Mobile Application". 2020.
    10.1007/978-3-030-31635-8_169
  8. Carrera, I; Dutra, I; Tejera, E. "A Representation Method for Cellular Lines based on SVM and Text Mining". 2020.
    10.1109/bibm49941.2020.9313334
  9. Real, JC; Dries, A; Dutra, I; Rocha, R. "Improving Candidate Quality of Probabilistic Logic Models". 2018.
    10.4230/oasics.iclp.2018.6
  10. Harrison, C; Keles, S; Hudson, R; Shin, S; Dutra, I. "atSNPInfrastructure, a Case Study for Searching Billions of Records While Providing Significant Cost Savings over Cloud Providers". 2018.
    10.1109/IPDPSW.2018.00086
  11. Machado, D; Paiva, T; Dutra, I; Costa, VS; Brandao, P. "Managing Diabetes: Pattern Discovery and Counselling supported by user data in a mobile platform". 2017.
    10.1109/ISCC.2017.8024545
  12. Real, JC; Dutra, I; Rocha, R. "On Applying Probabilistic Logic Programming to Breast Cancer Data". 2017.
    10.1007/978-3-319-78090-0_3
  13. Machado, D; Dutra, I; Brandão, P; Costa, VS. "Managing Diabetes: Counselling Supported by User Data in a Mobile Platform". 2017.
  14. Côrte Real,J; Inês Dutra; Ricardo Rocha. "Estimation-based search space traversal in PILP environments". 2017.
    http://dx.doi.org/10.1007/978-3-319-63342-8_1
  15. Machado,D; Inês Dutra; Brandão,P; Vítor Santos Costa. "Managing Diabetes: Counselling Supported by User Data in a Mobile Platform". 2017.
  16. Côrte Real,J; Inês Dutra; Ricardo Rocha. "Estimation-based search space traversal in PILP environments". 2017.
    http://dx.doi.org/10.1007/978-3-319-63342-8_1
  17. Machado,D; Paiva,T; Inês Dutra; Vítor Santos Costa; Brandão,P. "Managing diabetes: Pattern discovery and counselling supported by user data in a mobile platform". 2017.
    http://dx.doi.org/10.1109/ISCC.2017.8024545
  18. Ferreira, P; Dutra, I; Salvini, R; Burnside, E; Pedro Silva Ferreira; Inês Dutra; Salvini,R; Burnside,E. "Interpretable Models to Predict Breast Cancer". 2016.
    10.1109/BIBM.2016.7822745
  19. Roche, RS; Ferreira, P; Dutra, I; Correia, R; Salvini, R; Burnside, E; Roche,RS; et al. "A Speech-to-Text Interface for MammoClass". 2016.
    10.1109/cbms.2016.25
  20. Joana Côrte-Real; Inês Dutra; Ricardo Rocha; Real, JC; Dutra, I; Rocha, R. "Estimation-Based Search Space Traversal in PILP Environments". 2016.
    10.1007/978-3-319-63342-8_1
  21. Alberto Martinez Angeles,CA; Inês Dutra; Vítor Santos Costa; Buenabad Chavez,J; Alberto Martinez Angeles, CA; Dutra, I; Costa, VS; Buenabad Chavez, J. "Processing Markov Logic Networks with GPUs: Accelerating Network Grounding". 2016.
    http://dx.doi.org/10.1007/978-3-319-40566-7_9
  22. Corte Real, J; Mantadelis, T; Dutra, I; Rocha, R; Burnside, E; Joana Côrte-Real; Theofrastos Mantadelis; et al. "SkILL - a Stochastic Inductive Logic Learner". 2015.
    10.1109/icmla.2015.159
  23. Salvini, R; Da Silva Dias, R; Lafer, B; Dutra, I; Salvini,R; Da Silva Dias,R; Lafer,B; Inês Dutra. "A Multi-Relational Model for Depression Relapse in Patients with Bipolar Disorder". 2015.
    10.3233/978-1-61499-564-7-741
  24. Rodrigues, A; Silva, C; Borges, P; Silva, S; Dutra, I; André Valente Rodrigues; Carla Pereira Silva; et al. "Performance Evaluation of Statistical Functions". 2015.
    10.1109/smartcity.2015.159
  25. Joana Côrte-Real; Inês Dutra; Ricardo Rocha. "A hybrid mapreduce model for prolog". 2015.
    http://dx.doi.org/10.1109/ISICIR.2014.7029555
  26. André Valente Rodrigues; Carla Pereira Silva; Borges,PVK; Silva,S; Inês Dutra. "Performance Evaluation of Statistical Functions". 2015.
    http://dx.doi.org/10.1109/SmartCity.2015.159
  27. Joana Côrte-Real; Theofrastos Mantadelis; Inês Dutra; Ricardo Rocha; Burnside,E. "SkILL - a Stochastic Inductive Logic Learner". 2015.
    http://dx.doi.org/10.1109/icmla.2015.159
  28. Joana Côrte-Real; Inês Dutra; Ricardo Rocha. "A hybrid mapreduce model for prolog". 2015.
    http://dx.doi.org/10.1109/ISICIR.2014.7029555
  29. Salvini,R; Da Silva Dias,R; Lafer,B; Inês Dutra. "A Multi-Relational Model for Depression Relapse in Patients with Bipolar Disorder". 2015.
    http://dx.doi.org/10.3233/978-1-61499-564-7-741
  30. André Valente Rodrigues; Alípio Jorge; Inês Dutra. "Accelerating Recommender Systems using GPUs". 2015.
    http://dx.doi.org/10.1145/2695664.2695850
  31. Corte Real, J; Dutra, I; Rocha, R. "A Hybrid MapReduce Model for Prolog". 2014.
    10.1109/ISICIR.2014.7029555
  32. Ezilda Duarte Almeida; Pedro Silva Ferreira; Tiago Travassos Vinhoza; Inês Dutra; Borges,P; Wu,Y; Burnside,E; et al. "ExpertBayes: Automatically refining manually built Bayesian networks". 2014.
    http://dx.doi.org/10.1109/icmla.2014.64
  33. Alberto Martinez Angeles,CA; Inês Dutra; Vítor Santos Costa; Buenabad Chavez,J. "A Datalog Engine for GPUs". 2014.
    http://dx.doi.org/10.1007/978-3-319-08909-6_10
  34. Ezilda Duarte Almeida; Pedro Silva Ferreira; Tiago Travassos Vinhoza; Inês Dutra; Borges,P; Wu,Y; Burnside,E. "ExpertBayes: Automatically refining manually built Bayesian networks". 2014.
    http://dx.doi.org/10.1109/icmla.2014.64
  35. Ferreira, P; Vinhoza, TTV; Castro, A; Mourato, F; Tavares, T; Mattos, S; Dutra, I; et al. "Knowledge on Heart Condition of Children based on Demographic and Physiological Features". 2013.
    10.1109/cbms.2013.6627808
  36. Joana Côrte-Real; Inês Dutra; Ricardo Rocha. "Prolog programming with a map-reduce parallel construct". 2013.
    http://dx.doi.org/10.1145/2505879.2505882
  37. Martinez Angeles,CA; Inês Dutra; Costa,VS; Buenabad Chavez,J; Martinez Angeles, CA; Dutra, I; Costa, VS; et al. "A datalog engine for GPUs". 2013.
    10.1007/978-3-319-08909-6_10
  38. Kuusisto,F; Inês Dutra; Nassif,H; Wu,Y; Klein,ME; Neuman,HB; Shavlik,J; et al. "Using machine learning to identify benign cases with non-definitive biopsy". 2013.
    http://dx.doi.org/10.1109/healthcom.2013.6720685
  39. Nassif, H; Cunha, F; Moreira, IC; Cruz Correia, R; Sousa, E; Page, D; Burnside, E; et al. "Extracting BI-RADS features from Portuguese clinical texts". 2012.
    10.1109/bibm.2012.6392613
  40. Dutra, I; Rocha, R; Costa, VS; Silva, F; Santos, J. "Scheduling OR-parallelism in YapOr and ThOr on Multi-Core Machines". 2012.
    10.1109/ipdpsw.2012.199
  41. Pereira, D; Hedayioglu, F; Correia, R; Silva, T; Dutra, I; Almeida, F; Mattos, SS; Coimbra, M. "DigiScope - Unobtrusive Collection and Annotating of Auscultations in Real Hospital Environments". 2011.
    10.1109/iembs.2011.6090280
  42. Ferreira, P; Fonseca, NA; Dutra, I; Woods, R; Burnside, E. "Predicting Malignancy from Mammography Findings and Surgical Biopsies". 2011.
    10.1109/bibm.2011.71
  43. Ferreira, P; Pereira, D; Mourato, F; Mattos, S; Cruz Correia, R; Coimbra, M; Dutra, I. "Detecting Cardiac Pathologies from Annotated Auscultations". 2011.
    10.1109/cbms.2012.6266358
  44. "SIMPLE AND EFFECTIVE CLASSIFIERS TO MODEL BIOLOGICAL DATA". 2011.
    10.1142/9789812773685_0023
  45. Fonseca, NA; Dutra, I. "UbiDis: a Flexible and General top-level Middleware to Manage Applications in Grids and Clusters". 2009.
  46. Costa, B; Dutra, I; Mattoso, M. "RL-based Scheduling Strategies in Actual Grid Environments". 2008.
    10.1109/ispa.2008.119
  47. Kopiler, AA; Dutra, ID; Franca, FMG. "Personal Autonomic Desktop Manager with a circulatory computing approach". 2008.
    10.1109/ease.2008.20
  48. Abarca, R; Acero, A; Aparicio, G; Baeza, C; Barbera, R; Blanco, F; Blanquer, I; et al. "Grid applications in EELA". 2007.
  49. Pereira, MR; Vargas, PK; Stelling de Castro, MCS; Franca, FMG; Dutra, ID. "Automatic constraint partitioning to speed up CLP execution". 2007.
    10.1109/sbac-pad.2007.29
  50. Sanches, JAL; Vargas, PK; De Dutra, IC; Costa, VS; Geyer, CFR. "ReGS: User-level reliability in a grid environment". 2005.
    10.1109/ccgrid.2005.1558634
  51. Davis, Jesse; Burnside, Elizabeth; Dutra, Ines; Page, David; Ramakrishnan, Raghu; Costa, Vitor Santos; Shavlik, Jude. "View Learning for Statistical Relational Learning: With an Application to Mammography". 2005.
  52. Pereira, MR; Vargas, PK; França, FMG; Castro, MCSd; Dutra, IdC. "Applying Scheduling by Edge Reversal to Constraint Partitioning". 2003.
    10.1109/CAHPC.2003.1250331
  53. Dutra, I; Santos Costa, V; Gupta, G; Pontelli, E; Carro, M; Kacsuk, P. "Electronic Notes in Theoretical Computer Science: Preface". 2000.
    10.1016/s1571-0661(05)80113-6
  54. Fonseca, N; Costa, VS; Dutra, ID. "VisAll: A universal tool to visualise the parallel execution of logic programs". 1998.
  55. Costa, VS; Bianchini, R; Dutra, IdC. "Evaluating the impact of coherence protocols on parallel logic programming systems". 1997.
  56. Dutra, IdC. "Distributing And-Work and Or-Work in Parallel Logic Programming Systems". 1996.
    10.1109/HICSS.1996.495516
  57. Dutra, IdC. "Strategies for Scheduling And- and Or-Parallel Work in Parallel Logic Programming Systems". 1994.
  58. Yang, R; Beaumont, T; Dutra, IdC; Costa, VS; Warren, DHD. "Performance of the Compiler-Based Andorra-I System". 1993.
  59. Dutra, IdC. "A Flexible Scheduler for the Andorra-I System". 1991.
    10.1007/3-540-55038-0_6
Edited book
  1. Dutra, I; Camacho, R; Barbosa, JG; Marques, O. High Performance Computing for Computational Science - VECPAR 2016 - 12th International Conference, Porto, Portugal, June 28-30, 2016, Revised Selected Papers. 2017.
Journal article
  1. Christine R. Kirkpatrick; Kevin Coakley; Julianne Christopher; Inês Dutra. "Engaging with Researchers and Raising Awareness of FAIR and Open Science through the FAIR+ Implementation Survey Tool (FAIRIST)". Data Science Journal (2023): https://doi.org/10.5334/dsj-2023-032.
    10.5334/dsj-2023-032
  2. Emanuel Sousa Tomé; Rita P. Ribeiro; Inês Dutra; Arlete Rodrigues. "An Online Anomaly Detection Approach for Fault Detection on Fire Alarm Systems". Sensors (2023): https://doi.org/10.3390/s23104902.
    10.3390/s23104902
  3. Vanda Azevedo; Carla Silva; Inês Dutra. "Quantum transfer learning for breast cancer detection". Quantum Machine Intelligence 4 1 (2022): https://doi.org/10.1007/s42484-022-00062-4.
    10.1007/s42484-022-00062-4
  4. Manuel Casal-Guisande; Alberto Comesaña-Campos; Inês Dutra; Jorge Cerqueiro-Pequeño; José-Benito Bouza-Rodríguez. "Design and Development of an Intelligent Clinical Decision Support System Applied to the Evaluation of Breast Cancer Risk". Journal of Personalized Medicine (2022): https://doi.org/10.3390/jpm12020169.
    10.3390/jpm12020169
  5. Carla Silva; Ana Aguiar; Priscila M. V. Lima; Inês Dutra. "Mapping a logical representation of TSP to quantum annealing". Quantum Information Processing 20 12 (2021): https://doi.org/10.1007/s11128-021-03321-8.
    10.1007/s11128-021-03321-8
  6. Joana Côrte-Real; Inês Dutra; Ricardo Rocha. "Pruning strategies for the efficient traversal of the search space in PILP environments". Knowledge and Information Systems (2021): https://doi.org/10.1007/s10115-021-01620-1.
    10.1007/s10115-021-01620-1
  7. Sabrina Magalhaes Araujo; Paulino Sousa; Inês Dutra. "Clinical Decision Support Systems for Pressure Ulcer Management: Systematic Review". JMIR Medical Informatics (2020): https://doi.org/10.2196/21621.
    10.2196/21621
  8. Fernandes, D; Silva, C; Dutra, I. "Erratum: Using Grover's search quantum algorithm to solve Boolean satisfiability problems, part 2". ACM Crossroads (2020):
    10.1145/3368085
  9. Silva, C; Aguiar, A; Lima, PMV; Dutra, I. "Mapping graph coloring to quantum annealing". Quantum Mach. Intell. (2020):
    10.1007/s42484-020-00028-4
  10. Sousa, P.; Araújo, Sabrina Magalhães; Dutra, Inês. "Clinical Decision Support Systems for Pressure Ulcer Management: Systematic Review". (2020): http://hdl.handle.net/10400.26/37698.
    10.2196/21621
  11. Fernandes, D; Silva, C; Dutra, I. "Using Grover's search quantum algorithm to solve Boolean satisfiability problems, part 2". ACM Crossroads (2019):
    10.1145/3386233
  12. Fernandes, D; Dutra, I. "Using Grover's search quantum algorithm to solve Boolean satisfiability problems: Part I". ACM Crossroads (2019):
  13. Rodrigues, A; Silva, C; Koerich Borges, PV; Silva, S; Dutra, I. "Optimising the calculation of statistical functions". IJBDI (2017):
    10.1504/ijbdi.2017.083155
  14. Loewe, L; Scheuer, KS; Keel, SA; Vyas, V; Liblit, B; Hanlon, B; Ferris, MC; et al. "Evolvix BEST Names for semantic reproducibility across code2brain interfaces". ANNALS OF THE NEW YORK ACADEMY OF SCIENCES (2017):
    10.1111/nyas.13192
  15. Rodrigues,Andre; Carla Pereira Silva; Borges,PauloViniciusKoerich; Silva,Sergio; Inês Dutra. "Optimising the calculation of statistical functions". (2017): http://repositorio.inesctec.pt/handle/123456789/6985.
  16. Loewe,L; Scheuer,KS; Keel,SA; Vyas,V; Liblit,B; Hanlon,B; Ferris,MC; et al. "Evolvix BEST Names for semantic reproducibility across code2brain interfaces". (2017): http://repositorio.inesctec.pt/handle/123456789/6982.
    http://dx.doi.org/10.1111/nyas.13192
  17. Alberto Martinez Angeles, CA; Wu, HC; Dutra, I; Costa, VS; Buenabad Chavez, J. "Relational Learning with GPUs: Accelerating Rule Coverage". INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING (2016):
    10.1007/s10766-015-0364-7
  18. Ferreira, P; Fonseca, NA; Dutra, I; Woods, R; Burnside, E. "Predicting malignancy from mammography findings and image-guided core biopsies". INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS (2015):
    10.1504/ijdmb.2015.067319
  19. Pedro Silva Ferreira; Fonseca,NA; Inês Dutra; Woods,R; Burnside,E. "Predicting malignancy from mammography findings and image-guided core biopsies". (2015): http://repositorio.inesctec.pt/handle/123456789/6970.
    http://dx.doi.org/10.1504/ijdmb.2015.067319
  20. Côrte-Real, J.; Dutra, I.; Rocha, R.. "Prolog programming with a map-reduce parallel construct". Proceedings of the 15th Symposium on Principles and Practice of Declarative Programming, PPDP 2013 (2013): 285-296. http://www.scopus.com/inward/record.url?eid=2-s2.0-84885210109&partnerID=MN8TOARS.
    10.1145/2505879.2505882
  21. Dutra, I.; Rocha, R.; Costa, V.S.; Silva, F.; Santos, J.. "Scheduling OR-parallelism in YapOr and ThOr on multi-core machines". Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012 (2012): 1581-1590. http://www.scopus.com/inward/record.url?eid=2-s2.0-84867415701&partnerID=MN8TOARS.
    10.1109/IPDPSW.2012.199
  22. Nassif, H.; Cunha, F.; Moreira, I.C.; Cruz-Correia, R.; Sousa, E.; Page, D.; Burnside, E.; Dutra, I.. "Extracting BI-RADS features from Portuguese clinical texts". Proceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2012 (2012): 539-542. http://www.scopus.com/inward/record.url?eid=2-s2.0-84872556682&partnerID=MN8TOARS.
    10.1109/BIBM.2012.6392613
  23. Ferreira, P.; Pereira, D.; Mourato, F.; Mattos, S.; Cruz-Correia, R.; Coimbra, M.; Dutra, I.. "Detecting cardiac pathologies from annotated auscultations". Proceedings - IEEE Symposium on Computer-Based Medical Systems (2012): http://www.scopus.com/inward/record.url?eid=2-s2.0-84867286647&partnerID=MN8TOARS.
    10.1109/CBMS.2012.6266358
  24. Pereira, D.; Hedayioglu, F.; Correia, R.; Silva, T.; Dutra, I.; Almeida, F.; Mattos, S.S.; Coimbra, M.. "DigiScope--unobtrusive collection and annotating of auscultations in real hospital environments.". Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference 2011 (2011): 1193-1196. http://www.scopus.com/inward/record.url?eid=2-s2.0-84861944926&partnerID=MN8TOARS.
    10.1109/IEMBS.2011.6090280
  25. Ferreira, P.; Fonseca, N.A.; Dutra, I.; Woods, R.; Burnside, E.. "Predicting malignancy from mammography findings and surgical biopsies". Proceedings - 2011 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2011 (2011): 339-344. http://www.scopus.com/inward/record.url?eid=2-s2.0-84856046908&partnerID=MN8TOARS.
    10.1109/BIBM.2011.71
  26. Ferreira, P.; Dutra, I.; Fonseca, N.A.; Woods, R.; Burnside, E.. "Studying the relevance of breast imaging features". HEALTHINF 2011 - Proceedings of the International Conference on Health Informatics (2011): 337-342. http://www.scopus.com/inward/record.url?eid=2-s2.0-79960190863&partnerID=MN8TOARS.
    10.5220/0003172903370342
  27. Silva, T.; Dutra, I.. "T-SPPA: Trended statistical preprocessing algorithm". Communications in Computer and Information Science 188 CCIS PART 1 (2011): 118-131. http://www.scopus.com/inward/record.url?eid=2-s2.0-79960317068&partnerID=MN8TOARS.
    10.1007/978-3-642-22389-1_11
  28. Dutra, I.; Nassif, H.; Page, D.; Shavlik, J.; Strigel, R.M.; Wu, Y.; Elezaby, M.E.; Burnside, E.. "Integrating machine learning and physician knowledge to improve the accuracy of breast biopsy.". AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium 2011 (2011): 349-355. http://www.scopus.com/inward/record.url?eid=2-s2.0-84866765313&partnerID=MN8TOARS.
  29. "Integrating machine learning and physician knowledge to improve the accuracy of breast biopsy.". AMIA . Annual Symposium Proceedings. AMIA Symposium (2011): https://publons.com/publon/14972611/.
  30. Costa, VS; Dutra, I; Rocha, R; Santos Costa, V.; Dutra, I.; Rocha, R.. "Threads and or-parallelism unified". THEORY AND PRACTICE OF LOGIC PROGRAMMING 10 4-6 (2010): 417-432. http://www.scopus.com/inward/record.url?eid=2-s2.0-77957240853&partnerID=MN8TOARS.
    10.1017/s1471068410000190
  31. Costa, BF; Mattoso, M; Dutra, I; Costa, B.F.; Mattoso, M.; Dutra, I.. "Applying reinforcement learning to scheduling strategies in an actual grid environment". International Journal of High Performance Systems Architecture 2 2 (2009): 116-128. http://www.scopus.com/inward/record.url?eid=2-s2.0-77949389561&partnerID=MN8TOARS.
    10.1504/ijhpsa.2009.032029
  32. Kopiler, A.A.; Dutra, I.D.C.; França, F.M.G.. "Personal autonomic desktop manager with a circulatory computing approach". Proceedings of the 5th IEEE Workshop on Engineering of Autonomic and Autonomous Systems, EASe 2008 (2008): 119-127. http://www.scopus.com/inward/record.url?eid=2-s2.0-50149121230&partnerID=MN8TOARS.
    10.1109/EASe.2008.20
  33. Costa, B.; Dutra, I.; Mattoso, M.. "RL-based scheduling strategies in actual grid environments". Proceedings of the 2008 International Symposium on Parallel and Distributed Processing with Applications, ISPA 2008 (2008): 572-577. http://www.scopus.com/inward/record.url?eid=2-s2.0-60649100645&partnerID=MN8TOARS.
    10.1109/ISPA.2008.119
  34. Vargas, P.K.; Dutra, I.C.; Do Nascimento, V.D.; Santos, L.A.S.; Da Silva, L.C.; Geyer, C.F.R.; Schulze, B.. "GRAND: Toward scalability in a Grid environment". Concurrency Computation Practice and Experience 19 14 (2007): 1991-2009. http://www.scopus.com/inward/record.url?eid=2-s2.0-34548730161&partnerID=MN8TOARS.
    10.1002/cpe.1138
  35. Pereira, M.R.; Vargas, P.K.; De Castro, M.C.S.; França, F.M.G.; De Dutra, I.C.. "Automatic constraint partitioning to speed up CLP execution". Proceedings - Symposium on Computer Architecture and High Performance Computing (2007): 271-278. http://www.scopus.com/inward/record.url?eid=2-s2.0-47249102034&partnerID=MN8TOARS.
    10.1109/SBAC-PAD.2007.14
  36. Ong, I.M.; De Castro Dutra, I.; Page, D.; Costa, V.S.. "Mode directed path finding". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3720 LNAI (2005): 673-681. http://www.scopus.com/inward/record.url?eid=2-s2.0-33646404059&partnerID=MN8TOARS.
    10.1007/11564096_68
  37. Burnside, E.S.; Davis, J.; Costa, V.S.; Dutra, I.C.; Kahn Jr., C.E.; Fine, J.; Page, D.. "Knowledge discovery from structured mammography reports using inductive logic programming.". AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium (2005): 96-100. http://www.scopus.com/inward/record.url?eid=2-s2.0-39049194227&partnerID=MN8TOARS.
  38. Vargas, P.K.; De Castro Dutra, I.; Dalto Do Nascimento, V.; Santos, L.A.S.; Da Silva, L.C.; Geyer, C.F.R.; Schulze, B.. "Hierarchical submission in a Grid environment". ACM International Conference Proceeding Series 117 (2005): http://www.scopus.com/inward/record.url?eid=2-s2.0-77954440525&partnerID=MN8TOARS.
    10.1145/1101499.1101513
  39. Sanches, J.A.L.; Vargas, P.K.; De Dutra, I.C.; Costa, V.S.; Geyer, C.F.R.. "ReGS: User-level reliability in a grid environment". 2005 IEEE International Symposium on Cluster Computing and the Grid, CCGrid 2005 2 (2005): 718-725. http://www.scopus.com/inward/record.url?eid=2-s2.0-33845344709&partnerID=MN8TOARS.
    10.1109/CCGRID.2005.1558634
  40. Davis, J.; Burnside, E.; De Castro Dutra, I.; Page, D.; Santos Costa, V.. "An integrated approach to learning Bayesian networks of rules". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3720 LNAI (2005): 84-95. http://www.scopus.com/inward/record.url?eid=2-s2.0-33646424350&partnerID=MN8TOARS.
    10.1007/11564096_13
  41. Davis, J.; Burnside, E.; Dutra, I.; Page, D.; Ramakrishnan, R.; Costa, V.S.; Shavlik, J.. "View learning for statistical relational learning: With an application to mammography". IJCAI International Joint Conference on Artificial Intelligence (2005): 677-683. http://www.scopus.com/inward/record.url?eid=2-s2.0-84880739463&partnerID=MN8TOARS.
  42. "Knowledge discovery from structured mammography reports using inductive logic programming.". AMIA . Annual Symposium Proceedings. AMIA Symposium (2005): https://publons.com/publon/14972612/.
  43. Dutra, I.; Page, D.; Costa, V.S.; Shavlik, J.; Waddell, M.. "Toward automatic management of embarrassingly parallel applications". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2790 (2004): 509-516. http://www.scopus.com/inward/record.url?eid=2-s2.0-35048838145&partnerID=MN8TOARS.
    10.1007/978-3-540-45209-6_73
  44. De Oliveira, E.P.G.; Ramos, F.; De Dutra, I.C.; De Castro, M.C.S.. "Study of hybrid coherence protocols for parallel logic programming systems". Proceedings of the IASTED International Conference on Parallel and Distributed Computing and Systems 16 (2004): 821-826. http://www.scopus.com/inward/record.url?eid=2-s2.0-11844259508&partnerID=MN8TOARS.
  45. Vargas, P.K.; De Castro Dutra, I.; Geyer, C.F.R.. "Application partitioning and hierarchical management in grid environments". ACM International Conference Proceeding Series 79 (2004): 314-318. http://www.scopus.com/inward/record.url?eid=2-s2.0-77952989384&partnerID=MN8TOARS.
    10.1145/1028480.1028487
  46. De Dutra, I.C.; Page, D.; Costa, V.S.; Shavlik, J.. "An empirical evaluation of bagging in inductive logic programming". Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) 2583 (2003): 48-65. http://www.scopus.com/inward/record.url?eid=2-s2.0-7044227546&partnerID=MN8TOARS.
    10.1007/3-540-36468-4_4
  47. De Castro Dutra, I.; Costa, V.S.; Bianchini, R.. "The impact of cache coherence protocols on parallel logic programming systems". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 1861 LNAI (2000): 1285-1299. http://www.scopus.com/inward/record.url?eid=2-s2.0-84867796901&partnerID=MN8TOARS.
    10.1007/3-540-44957-4_86
  48. Santos Costa, V.; Bianchini, R.; De Castro Dutra, I.. "Parallel Logic Programming Systems on Scalable Architectures". Journal of Parallel and Distributed Computing 60 7 (2000): 835-852. http://www.scopus.com/inward/record.url?eid=2-s2.0-0039083576&partnerID=MN8TOARS.
    10.1006/jpdc.2000.1629
  49. Dutra, I.; Santos Costa, V.; Gupta, G.; Pontelli, E.; Carro, M.; Kacsuk, P.. "Electronic Notes in Theoretical Computer Science: Preface". Electronic Notes in Theoretical Computer Science 30 3 (2000): 1-2. http://www.scopus.com/inward/record.url?eid=2-s2.0-18944403051&partnerID=MN8TOARS.
    10.1016/S1571-0661(05)80113-6
  50. Silva, M.G.; Dutra, I.C.; Bianchini, R.; Costa, V.S.. "The influence of architectural parameters on the performance of parallel logic programming systems". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 1551 LNCS (1999): 122-136. http://www.scopus.com/inward/record.url?eid=2-s2.0-84867445128&partnerID=MN8TOARS.
    10.1007/3-540-49201-1_9
  51. Calegario, V.M.; De Castro Dutra, I.. "Performance evaluation of or-parallel logic programming systems on distributed shared-memory architectures". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 1685 LNCS (1999): 1484-1491. http://www.scopus.com/inward/record.url?eid=2-s2.0-84878655008&partnerID=MN8TOARS.
    10.1007/3-540-48311-X_211
  52. "Performance evaluation of or-parallel logic programming systems on distributed shared-memory architectures". EURO-PAR'99: PARALLEL PROCESSING (1999): https://publons.com/publon/7424775/.
  53. Costa, Vitor Santos; Bianchini, Ricardo; de Castro Dutra, Ines. "Evaluating parallel logic programming systems on scalable multiprocessors". International Symposium on Parallel Symbolic Computation, Proceedings, PASCO (1997): 58-67. http://www.scopus.com/inward/record.url?eid=2-s2.0-0030648715&partnerID=MN8TOARS.
    10.1145/266670.266687
  54. DUTRA, ID. "STRATEGIES FOR SCHEDULING AND-WORK AND OR-WORK IN PARALLEL LOGIC PROGRAMMING SYSTEMS". Logic Programming (1994): https://publons.com/publon/7424807/.
  55. "PERFORMANCE OF THE COMPILER-BASED ANDORRA-I SYSTEM". Logic Programming (1993): https://publons.com/publon/7421414/.
Thesis / Dissertation
  1. Dutra, Inês. "Distributing and- and or-work in the Andorra-I parallel logic programming system". 1995.

Other

Other output
  1. Clinical Decision Support Systems for Pressure Ulcer Management: Systematic Review (Preprint). 2020. Sabrina Magalhaes Araujo; Paulino Sousa; Inês Dutra. https://doi.org/10.2196/preprints.21621.
    10.2196/preprints.21621
  2. Driven tabu search: a quantum inherent optimisation. 2018. Silva, C; Dutra, I; Dahlem, MS.
  3. Bioinformatics Computational Cluster Batch Task Profiling with Machine Learning for Failure Prediction. 2018. Harrison, C; Kirkpatrick, CR; Dutra, I.
  4. Optimising the calculation of statistical functions. 2017. Rodrigues,Andre; Carla Pereira Silva; Borges,PauloViniciusKoerich; Silva,Sergio; Inês Dutra. http://repositorio.inesctec.pt/handle/123456789/6985.
  5. High Performance Computing for Computational Science - VECPAR 2016 - 12th International Conference, Porto, Portugal, June 28-30, 2016, Revised Selected Papers. 2017. Inês Dutra; Rui Camacho; Barbosa,JG; Marques,O. http://repositorio.inesctec.pt/handle/123456789/6984.
  6. High Performance Computing for Computational Science - VECPAR 2016 - 12th International Conference, Porto, Portugal, June 28-30, 2016, Revised Selected Papers. 2017. Inês Dutra; Rui Camacho; Barbosa,JG; Marques,O. http://repositorio.inesctec.pt/handle/123456789/6984.
  7. Relational Learning with GPUs: Accelerating Rule Coverage. Relational learning algorithms mine complex databases for interesting patterns. Usually, the search space of patterns grows very quickly with the increase in data size, making it impractical to solve important problems. In this work we present the design of a relational learning system, that takes advantage of graphics processing units (GPUs) to perform the most time consuming function of the lear. 2016. Angeles,CAM; Wu,H; Inês Dutra; Vítor Santos Costa; Chavez,JB. http://repositorio.inesctec.pt/handle/123456789/6974.
    http://dx.doi.org/10.1007/s10766-015-0364-7
  8. Preface. 2015. Barbosa, JG; Dutra, I.
  9. Accelerating Recommender Systems using GPUs. 2015. André Valente Rodrigues; Alípio Jorge; Inês Dutra; Rodrigues, AV; Jorge, A; Dutra, I. http://repositorio.inesctec.pt/handle/123456789/6980.
    10.1145/2695664.2695850
  10. Predicting malignancy from mammography findings and image-guided core biopsies. The main goal of this work is to produce machine learning models that predict the outcome of a mammography from a reduced set of annotated mammography findings. In the study we used a dataset consisting of 348 consecutive breast masses that underwent image guided core biopsy performed between October 2005 and December 2007 on 328 female subjects. We applied various algorithms with parameter variat. 2015. Pedro Silva Ferreira; Fonseca,NA; Inês Dutra; Woods,R; Burnside,E. http://repositorio.inesctec.pt/handle/123456789/6970.
    http://dx.doi.org/10.1504/ijdmb.2015.067319
  11. Accelerating Recommender Systems using GPUs. 2015. André Valente Rodrigues; Alípio Jorge; Inês Dutra. http://repositorio.inesctec.pt/handle/123456789/6980.
  12. Euro-Par 2014 Parallel Processing - 20th International Conference, Porto, Portugal, August 25-29, 2014. Proceedings. 2014. Fernando Silva; Inês Dutra; Vítor Santos Costa; Silva, FMA; Castro Dutra, Id; Costa, VS. http://repositorio.inesctec.pt/handle/123456789/7025.
    http://dx.doi.org/10.1007/978-3-319-09873-9
  13. Preface. 2014. Silva, F; Dutra, I; Costa, VS.
  14. Threads and Or-Parallelism Unified. One of the main advantages of Logic Programming (LP) is that it provides an excellent framework for the parallel execution of programs. In this work we investigate novel techniques to efficiently exploit parallelism from real-world applications in low cost multi-core architectures. To achieve these goals, we revive and redesign the YapOr system to exploit or-parallelism based on a multi-threaded i. 2010. Inês Dutra; Vítor Santos Costa; Ricardo Rocha. http://repositorio.inesctec.pt/handle/123456789/2952.
    http://dx.doi.org/10.1017/S1471068410000190
Activities

Supervision

Thesis Title
Role 		Degree Subject (Type)
Institution / Organization
2020 - 2020 Análise de dados biométricos de jogadores de futebol para previsão de performance
Supervisor
 Informática Médica (Master)
Universidade do Porto Faculdade de Medicina, Portugal
2020 - 2020 MultimodalDermaCAD - Classification of multimodal dermatological data
Supervisor
 Ciência de Computadores (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2020 - 2020 Predicting Hard Disk Drive Failures and Misbehavior
Supervisor
 Engenharia de Redes e Sistemas Informáticos (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2020 - 2020 WebBCCT.core - A Web Application for the Assessment of Breast Cancer Conservative Treatment Cosmetic Results
Supervisor
 Engenharia de Redes e Sistemas Informáticos (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2020 - 2020 Artificial Neural Networks Performance Study
Supervisor
 Engenharia de Redes e Sistemas Informáticos (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2020 - 2020 Feature Selection with the MS-EPSO Algorithm to Predict Cardiac Pathology in Children and Teenagers
Supervisor
 Ciência de Computadores (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2020 - 2020 Quantum Transfer Learning for Breast Cancer Detection
Supervisor
 Ciência de Computadores (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2020 - 2020 Previsão de número de dias de internamento em doentes diabéticos – Uma abordagem de Machine Learning
Supervisor
 Informática Médica (Master)
Universidade do Porto Faculdade de Medicina, Portugal
2019 - 2019 Machine learning models for predicting disease-related biological interactions
Supervisor
 Ciência de Computadores (PhD)
Universidade do Porto Faculdade de Ciências, Portugal
2019 - 2019 Towards Improving the Search for Multi-Relational Concepts in ILP
Co-supervisor
 Ciência de Computadores (PhD)
Universidade do Porto Faculdade de Ciências, Portugal
2019 - 2019 Genetic Analysis of Patients with Bipolar Disorder
Supervisor
 Engenharia de Redes e Sistemas Informáticos (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2019 - 2019 Artificial Intelligence Applied to Software Testing
Supervisor
 Engenharia de Redes e Sistemas Informáticos (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2019 - 2019 Análise de Desempenho de Redes Bayesianas de Grande Escala em Julia
Supervisor
 Engenharia de Redes e Sistemas Informáticos (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2019 - 2019 Is Multiple Kernel Learning better than other classifier methods?
Supervisor
 Ciência de Computadores (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2018 - 2018 Towards an Applied Quantum Machine Learning
Supervisor
 Ciência de Computadores (PhD)
Universidade do Porto Faculdade de Ciências, Portugal
2018 - 2018 On the Scalability of Bayesian Network Algorithms
Supervisor
 Ciência de Computadores (PhD)
Universidade do Porto Faculdade de Ciências, Portugal
2018 - 2018 Exascale computing with custom Linear Mixed Model kernels and GPU accelerators for Genomic Wide Association Studies and personalized medicine
Supervisor
 Ciência de Computadores (PhD)
Universidade do Porto Faculdade de Ciências, Portugal
2018 - 2018 Extraction of a Bipolar Disorder associated genetic pattern
Supervisor
 Engenharia de Redes e Sistemas Informáticos (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2015 - 2018 Towards Efficient and ScalableProbabilistic Inductive LogicProgramming
Supervisor
 computer science (PhD)
Universidade do Porto Departamento de Ciência de Computadores, Portugal
2017 - 2017 Execução e Gestão de Aplicações Conteinerizadas
Supervisor
 Engenharia de Redes e Sistemas Informáticos (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2017 - 2017 Weighted Multiple Kernel Learning for Breast Cancer Diagnosis applied to Mammograms
Supervisor
 Engenharia de Redes e Sistemas Informáticos (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2017 - 2017 Improving the search for multi-relational concepts in ILP
Supervisor
 Ciência de Computadores (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2016 - 2016 Melhorias no controlo da glicemia através de data mining
Co-supervisor
 Engenharia de Redes e Sistemas Informáticos (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2016 - 2016 Implementação e Avaliação do Algoritmo MCTS-UCT para o jogo Chinese Checkers
Supervisor
 Engenharia de Redes e Sistemas Informáticos (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2016 - 2016 Implementação de uma ferramenta de suporte à entrada de texto em Português, escrito e falado, para o sistema de apoio à decisão clínica MammoClass
Supervisor
 Ciência de Computadores (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2014 - 2014 Towards Efficient and Scalable Probabilistic Inductive Logic Programming
Supervisor
 Informática (PhD)
Universidade do Porto Faculdade de Ciências, Portugal
2014 - 2014 Diagnóstico de cancro de mama a partir de anotações de imagens de mamografias e biópsias
Supervisor
 Informática Médica (Master)
Universidade do Porto Faculdade de Medicina, Portugal
2014 - 2014 Grid Scheduling Strategies for Applications that require DataTransfer
Supervisor
 Ciência de Computadores (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2014 - 2014 Monitorização de Redes e Sistemas Informáticos
Supervisor
 Ciência de Computadores (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2014 - 2014 Paralelização de algoritmos de fatorização de matrizes para recomendação usando GPU
Supervisor
 Ciência de Computadores (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2014 - 2014 Multiple Kernel Learning for Breast Cancer Classification
Supervisor
 Ciência de Computadores (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2014 - 2014 Design and implementation of an algorithmic trading system for the Sifox application
Supervisor
 Engenharia de Redes e Sistemas Informáticos (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2013 - 2013 Construção de uma base de dados e repositório em Cardiologia
Supervisor
 Ciência de Computadores (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2013 - 2013 Particionamento Automático de Redes de Restrições para Execução Paralela
Supervisor
 Ciência de Computadores (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2006 - 2010 A model of auto-management based on the circulatory system for distributed systems
Supervisor
 Computer Science (PhD)
Universidade Federal do Rio de Janeiro Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de Engenharia, Brazil
2005 - 2010 A Methodology to extract information from immunological systems
Supervisor
 Computer Science (PhD)
Universidade Federal do Rio de Janeiro Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de Engenharia, Brazil
2005 - 2008 A New Methodology to improve classifiers based on inductive logic programming
Supervisor
 Computer Science (PhD)
Universidade Federal do Rio de Janeiro Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de Engenharia, Brazil
2003 - 2007 Conflict Resolution in Multi-agent systems
Supervisor
 Computer Science (PhD)
Universidade Federal do Rio de Janeiro Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de Engenharia, Brazil
2003 - 2006 GRAND: a model for hierarchical application management in grid environments
Supervisor
 Computer Science (PhD)
Universidade Federal do Rio de Janeiro Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de Engenharia, Brazil
2003 - 2006 Automatic Constraint Partitioning
Supervisor
 Computer Science (PhD)
Universidade Federal do Rio de Janeiro Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de Engenharia, Brazil
Distinctions

Other distinction

2017 Premio de Inovação Pedagógica da Universidade do Porto
Universidade do Porto, Portugal
2017 Bolsa concedida pelo programa Faculty Exchange CMU-Portugal
2010 Bolsa para licença sabática, oferecida pela FCT, de Setembro de 2010 a Fevereiro de 2011
Fundação para a Ciência e a Tecnologia, Portugal
2005 “Best Technical Paper” award na “International Conference on Intelligence Analysis”,
2003 NEC-AWARD “best paper in the area of Applications in High-Performance Systems”
2001 Bolsa para estágio no exterior, oferecida pelo CNPq, de Out 2001 a Set 2002
1998 Bolsa de produtividade em pesquisa oferecida pelo CNPq/Brasil, de 1998 a 2002.
1997 Bolsa de Pesquisador Visitante, JNICT, Portugal, Janeiro a Abril de 1997.
1994 Bolsa ERCIM (European Consortium on Mathematics and Informatics), Julho de 1994
1990 Bolsa para Doutorado no exterior, oferecida pelo CNPq/Brasil, de Março de 1990 a Junho de 1994.
1988 Bolsa de pesquisa oferecida pelo CNPq/Brasil, de Outubro de 1988 a Março de 1990. •