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Carlos Soares. Concluiu o(a) Doutoramento em Ciências Informaticas em 2004 pelo(a) Universidade do Porto, Mestrado em Inteligencia Artificial e Computaçao em 1999 pelo(a) Universidade do Porto e Licenciatura em Engeneria Informatica e de Sistemas em 1994 pelo(a) Universidade do Minho. É Professor Associado no(a) Universidade do Porto Faculdade de Engenharia, Professor Auxiliar no(a) Universidade do Porto, Professor Auxiliar no(a) Universidade do Porto e Investigador principal (carreira) no(a) Universidade do Porto. Publicou 4 artigos em revistas especializadas. Possui 1 livro(s). Orientou 1 tese(s) de doutoramento. Participa e/ou participou como Investigador responsável em 1 projeto(s). Atua na(s) área(s) de Ciências da Engenharia e Tecnologias com ênfase em Engenharia Eletrotécnica, Eletrónica e Informática. Nas suas atividades profissionais interagiu com 6 colaborador(es) em coautorias de trabalhos científicos.
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Identification

Personal identification

Full name
Carlos Soares

Citation names

  • Soares, Carlos

Author identifiers

Ciência ID
B114-1EE5-E938
ORCID iD
0000-0003-4549-8917
Google Scholar ID
Lw7ojGsAAAAJ
Researcher Id
J-5764-2012
Scopus Author Id
13908004500

Email addresses

  • csoares@fe.up.pt (Professional)

Telephones

Fax
  • 22 557 410 (Professional)
Telephone
  • 220413919 (Professional)

Addresses

  • Rua do Dr. Roberto Frias, s/n, 4200-465, Porto, Porto, Portugal (Professional)

Knowledge fields

  • Engineering and Technology - Electrotechnical Engineering, Electronics and Informatics

Languages

Language Speaking Reading Writing Listening Peer-review
Portuguese Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1)
English Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1)
Education
Degree Classification
2000 - 2004
Concluded
 Ciências Informaticas (Doutoramento)
Major in Ciência de Computadores
Universidade do Porto, Portugal
"Learning Rankings of Learning Algorithms: Recommendation of Algorithms with Meta-Learning" (THESIS/DISSERTATION)
 Aprovado por unanimidade
1997 - 1999
Concluded
 Inteligencia Artificial e Computaçao (Mestrado)
Universidade do Porto, Portugal
"Ranking Classification Algorithms on Past Performance" (THESIS/DISSERTATION)
 Muito Bom
1989 - 1994
Concluded
 Engenharia de Sistemas e Informática (Licenciatura)
Universidade do Minho, Portugal
 15
Affiliation

Science

Category
Host institution 		Employer
2006/10 - Current Principal Investigator (Research) Universidade do Porto, Portugal
1996/12 - 2007/12 Principal Investigator (Research) Universidade do Porto, Portugal
1999/12 - 2004/09 Research Assistant (Research) Universidade do Porto, Portugal
1996/12 - 1999/09 Research Trainee (Research) Universidade do Porto, Portugal
1995/01 - 1996/11 Principal Investigator (Research) Universidade do Porto, Portugal

Teaching in Higher Education

Category
Host institution 		Employer
2012/09/01 - Current Associate Professor (University Teacher) Universidade do Porto Faculdade de Engenharia, Portugal
2008/10 - Current Assistant Professor (University Teacher) Universidade do Porto, Portugal
2004/09 - Current Assistant Professor (University Teacher) Universidade do Porto, Portugal
2016 - 2018 Associate Professor (University Teacher) Universidade do Porto, Portugal
2015 - 2016 Invited Associate Professor (University Teacher) Universidade do Porto Faculdade de Ciências, Portugal
2013 - 2016 Associate Professor (University Teacher) Universidade do Porto Faculdade de Engenharia, Portugal

Positions / Appointments

Category
Host institution 		Employer
2018 - 2019 Coordenação ou direção de centro de investigação, departamento ou equivalente Universidade do Porto, Portugal
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 Nova de Lisboa Centro de Tecnologias e Sistemas, Portugal

Universidade de Aveiro Centro de Tecnologia Mecânica e Automação, 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 do Porto Laboratório de Inteligência Artificial e Ciência de Computadores, Portugal

Universidade Nova de Lisboa, 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 Departamento de Engenharia Civil, Portugal

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

Universidade de Coimbra, 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
1995/01/01 - 1995/12/31 CONSTRUÇÃO SEMI-AUTOMÁTICA DE INTERFACES GRÁFICAS
GGP XXI/BIC/1455/95
 Fundação para a Ciência e a Tecnologia
Concluded

Contract

Designation Funders
2020/07/01 - Current City Catalyst - Catalisador para cidades sustentáveis
POCI-01-0247-FEDER-046119
Researcher
Universidade do Porto Laboratório de Inteligência Artificial e Ciência de Computadores, Portugal
 Agência Nacional de Inovação SA
Ongoing
2020/07/01 - Current THEIA
POCI-01-0247-FEDER-047264
Researcher
Universidade do Porto Faculdade de Engenharia, Portugal
 Agência para o Investimento e Comércio Externo de Portugal EPE
Ongoing
2020/01 - Current Financiamento Plurianual 2020-2023 de Unidade I&D LIACC - Laboratório de Inteligência Artificial e Ciência de Computadores
UIDB/00027/2020_UIDP/00027/2020
Researcher
Universidade do Porto Laboratório de Inteligência Artificial e Ciência de Computadores, Portugal
 Fundação para a Ciência e a Tecnologia
Ongoing
2019/04/01 - Current Safe Cities - Inovação para Construir Cidades Seguras
RCI-FEDER-041435
Researcher
Universidade do Porto Faculdade de Engenharia, Portugal
 Agência para o Investimento e Comércio Externo de Portugal EPE
Ongoing
2018/07/26 - 2021/01/24 Gestão da qualidade de serviços intermodais de transporte público: diagnóstico e otimização
PTDC/ECI-TRA/32053/2017
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
 Fundação para a Ciência e a Tecnologia
Ongoing
2016/06/01 - 2019/12/31 Middleware e Técnicas de Inferência de Contextos a partir de fluxos de Dados para Desenvolvimento de Serviços Conscientes do Contexto em Dispositivos Móveis
PTDC/EEI-SCR/6945/2014
Instituto de Engenharia de Sistemas e Computadores, Portugal

Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, Portugal

MEO Serviços de Comunicações e Multimédia SA, Portugal
Fundação para a Ciência e a Tecnologia
Concluded
2015/05/01 - 2018/07/31 MANTIS - Cyber Physical System based Proactive Collaborative Maintenance
662189
 European Union
Concluded
2015/05/01 - 2018/04/30 Manutenção Colaborativa Pro-ativa baseado em Sistemas Ciber-físicos
ECSEL/0006/2014
Instituto de Engenharia de Sistemas e Computadores, Portugal
 Fundação para a Ciência e a Tecnologia
Concluded
2012/03/21 - 2014/10/30 POPSTAR - Acompanhamento, Análise e Pesquisa de Opinião Pública e Sentimentos
PTDC/CPJ-CPO/116888/2010
Universidade de Lisboa Instituto de Ciências Sociais, Portugal

Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, Portugal

Universidade do Minho, Portugal

Universidade do Porto Faculdade de Engenharia, Portugal
Fundação para a Ciência e a Tecnologia
Concluded
2010/10/01 - 2014/04/30 REACTION - Tecnologia de Recuperação, Extracção e Agregação de Infomação para Integração e Organização de Notícias
UTA-Est/MAI/0006/2009
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, Portugal

Universidade de Lisboa Laboratório de Sistemas Informáticos de Grande Escala, Portugal

Público Comunicação Social SA, Portugal

Fundação da Faculdade de Ciências da Universidade de Lisboa, Portugal

Universidade do Porto Faculdade de Engenharia, Portugal
Fundação para a Ciência e a Tecnologia
Concluded
2010/02/08 - 2013/08/07 Algoritmos Evolutivos para Problemas de Decisão em Gestão
PTDC/EGE-GES/099741/2008
Universidade do Porto Faculdade de Economia, Portugal

Universidade do Minho, Portugal

Universidade do Porto Faculdade de Engenharia, Portugal
Fundação para a Ciência e a Tecnologia
Concluded
2010/04/01 - 2013/03/31 Knowledge Discovery from Ubiquitous Data Streams
PTDC/EIA-EIA/098355/2008
Instituto de Engenharia de Sistemas e Computadores, Portugal
 Fundação para a Ciência e a Tecnologia
Concluded
2010/04/01 - 2013/03/31 Extracção de Conhecimento de Fluxos de Dados Distribuidos
PTDC/EIA-EIA/098355/2008
Instituto de Engenharia de Sistemas e Computadores, Portugal
 Fundação para a Ciência e a Tecnologia
Concluded
2010/04/01 - 2012/09/30 Uma plataforma integrada para o planeamento da alocação de recursos e de marcação de cirurgias em blocos operatórios
PTDC/EGE-GES/102681/2008
Instituto de Engenharia Mecânica, Portugal
 Fundação para a Ciência e a Tecnologia
Concluded
2008/03/01 - 2011/09/30 Rank!: Desenvolvimento de metodologia de previsão de escalonamento de itens
PTDC/EIA/81178/2006
Universidade do Porto Faculdade de Economia, Portugal

Universidade do Porto Laboratório de Inteligência Artificial e Ciência de Computadores, Portugal
Fundação para a Ciência e a Tecnologia
Concluded
2008/01/01 - 2011/06/30 Detecção de casos raros usando recursos limitados
PTDC/EIA/68322/2006
Instituto de Engenharia de Sistemas e Computadores, Portugal

Universidade do Porto Laboratório de Inteligência Artificial e Ciência de Computadores, Portugal
Fundação para a Ciência e a Tecnologia
Concluded
2005/07/01 - 2008/12/31 Métodos Hibridos de Optimização e Simulação para o problema de "Job-shop" e seus subproblemas
POCI/EGE/61823/2004
Universidade do Porto Faculdade de Economia, Portugal

Universidade do Porto Laboratório de Inteligência Artificial e Ciência de Computadores, Portugal
Fundação para a Ciência e a Tecnologia
Concluded
2005/06/01 - 2008/11/30 site-o-matic: Automação de sítios web
POSC/EIA/58367/2004
Universidade do Porto Laboratório de Inteligência Artificial e Ciência de Computadores, Portugal

Instituto de Engenharia Mecânica, Portugal

Universidade do Minho, Portugal

Universidade da Beira Interior, Portugal
Fundação para a Ciência e a Tecnologia
Concluded
2005/07/01 - 2008/06/30 TriAna - Previsão e análise dos tempos de viagem para apoio à decisão em empresas de transportes rodoviários de passageiros
POCI/TRA/61001/2004
Universidade do Porto Laboratório de Inteligência Artificial e Ciência de Computadores, Portugal

Universidade do Porto Faculdade de Engenharia, Portugal
Fundação para a Ciência e a Tecnologia
Concluded
Outputs

Publications

Book
  1. Brazdil, P; van Rijn, JN; Soares, C; Vanschoren, J. Metalearning. 2022.
    10.1007/978-3-030-67024-5
  2. Rivolli, A.; Amaral, C.; Guardão, L.; de Sá, C.R.; Soares, C.. KnowBots: Discovering Relevant Patterns in Chatbot Dialogues. 2019.
    10.1007/978-3-030-33778-0_36
  3. Boström, H.; Knobbe, A.; Soares, C.; Papapetrou, P.. Preface. 2016.
  4. Prudencio, R. B. C.; Soares, C.; Ludermir, T. B.; Ieee,. Uncertainty Sampling Methods for Selecting Datasets in Active Meta-Learning. 2011.
  5. Prudêncio, R.B.C.; Soares, C.; Ludermir, T.B.. Combining meta-learning and active selection of datasetoids for algorithm selection. 2011.
    10.1007/978-3-642-21219-2-22
  6. Soares, Carlos Manuel Milheiro de Oliveira Pinto; Pavel B. Brazdil. Meta-Learning applications to Data Mining. Germany: Springer. 2009.
    Published
  7. Brazdil, P; Carrier, CGG; Soares, C; Vilalta, R. Metalearning - Applications to Data Mining. 2009.
    10.1007/978-3-540-73263-1
  8. Rebelo, C.; Brito, P. Q.; Soares, C.; Jorge, A.; Ieee Computer, S. O. C.. Factor analysis to support the visualization and interpretation of clusters of portal users. 2006.
    10.1109/wi.2006.77
  9. Carvalho, C.; Jorge, A. M.; Soares, C.; Ieee Computer, S. O. C.. Personalization of e-newsletters based on web log analysis and clustering. 2006.
    10.1109/wi.2006.130
  10. Domingues, M. A.; Soares, C.; Jorge, A. M.. A web-based system to monitor the quality of meta-data in web portals. 2006.
    10.1109/wi-iatw.2006.24
Book chapter
  1. Pedro Strecht; João Mendes-Moreira; Carlos Soares. "Symbolic Data Analysis to Improve Completeness of Model Combination Methods". 2024.
    10.1007/978-981-99-8391-9_9
  2. Rodrigo Tuna; Yassine Baghoussi; Carlos Soares; João Mendes-Moreira. "Kernel Corrector LSTM". 2024.
    10.1007/978-3-031-58553-1_1
  3. Hajar Baghcheband; Carlos Soares; Luis Paulo Reis. "Shapley-Based Data Valuation Method for the Machine Learning Data Markets (MLDM)". 2024.
    10.1007/978-3-031-62700-2_16
  4. Luís Cunha; Carlos Soares; André Restivo; Luís F. Teixeira. "GASTeN: Generative Adversarial Stress Test Networks". 2023.
    10.1007/978-3-031-30047-9_8
  5. Hajar Baghcheband; Carlos Soares; Luís Paulo Reis. "Machine Learning Data Markets: Evaluating the Impact of Data Exchange on the Agent Learning Performance". 2023.
    10.1007/978-3-031-49008-8_27
  6. Fernando Freitas; Pavel Brazdil; Carlos Soares. "Exploring the Reduction of Configuration Spaces of Workflows". 2023.
    10.1007/978-3-031-45275-8_3
  7. Pedro Strecht; João Mendes-Moreira; Carlos Soares. "Density Estimation in High-Dimensional Spaces: A Multivariate Histogram Approach". 2022.
    10.1007/978-3-031-22137-8_20
  8. Pedro Strecht; João Mendes-Moreira; Carlos Soares. "Generalizing Knowledge in Decentralized Rule-Based Models". 29-36. Springer Singapore, 2019.
    10.1007/978-3-030-14880-5_3
  9. Pedro Strecht; João Mendes-Moreira; Carlos Soares. "A Framework for Analytical Approaches to Combine Interpretable Models". 182-197. Springer International Publishing, 2019.
    10.1007/978-3-030-11680-4_19
  10. Sillitti, A.; Anakabe, J.F.; Basurko, J.; Dam, P.; Ferreira, H.; Ferreiro, S.; Gijsbers, J.; et al. "Providing proactiveness: Data analysis techniques portfolios". 145-238. 2018.
  11. Socorro, R.; Aguirregabiria, M.; Akçay, A.; Albano, M.; Anasagasti, M.; Aranburu, A.; Barbieri, M.; et al. "Success stories on real pilots". 311-496. 2018.
  12. Vilalta, R; Giraud Carrier, CG; Brazdil, P; Soares, C. "Inductive Transfer". 2017.
    10.1007/978-1-4899-7687-1_138
  13. Brazdil, P; Vilalta, R; Giraud Carrier, CG; Soares, C. "Metalearning". 2017.
    10.1007/978-1-4899-7687-1_543
  14. Domingues, MA; Jorge, AM; Soares, C; Rezende, SO. "Web mining for the integration of data mining with business intelligence in web-based decision support systems". 2014.
    10.4018/978-1-4666-6477-7.ch007
  15. Almeida, S; Soares, C. "CN2-SD for subgroup discovery in a highly customized textile industry: A case study". 2013.
    10.1007/978-3-319-00557-7_48
  16. Monte, A.; Soares, C.; Brito, P.; Byvoet, M.. "Clustering for decision support in the fashion industry: A case study". 997-1008. 2013.
    10.1007/978-3-319-00557-7_82
  17. Utgoff, PE; Cussens, J; Kramer, S; Jain, S; Stephan, F; Raedt, LD; Todorovski, L; et al. "Inductive Transfer". 2010.
    10.1007/978-0-387-30164-8_401
  18. Fürnkranz, J; Chan, PK; Craw, S; Sammut, C; Uther, W; Ratnaparkhi, A; Jin, X; et al. "Metalearning". 2010.
    10.1007/978-0-387-30164-8_538
  19. Soares, C.; Calejo, M.. "Intelligent Document Routing as a First Step towards Workflow Automation: A Case Study Implemented in SQL". edited by Margaria, T.; Steffen, B., 276-284. 2010.
    10.1007/978-3-642-16558-0_24
  20. Carrier, CGG; Brazdil, P; Soares, C; Vilalta, R. "Meta-Learning". 2009.
Conference abstract
  1. Mendes-Moreira, João; Jorge, Alípio Mário; Freire de Sousa, Jorge; Soares, Carlos. "Previsão de tempos de viagem em empresas de transportes rodoviários de passageiros". Paper presented in 12º Congresso da APDIO, Lisboa, 2006.
    Published
Conference paper
  1. Luis Roque; Carlos Soares; Luís Torgo. "RHiOTS: A Framework for Evaluating Hierarchical Time Series Forecasting Algorithms". 2024.
    10.1145/3637528.3672062
  2. Hetlerovic, D; Popelínský, L; Brazdil, P; Soares, C; Freitas, F. "On Usefulness of Outlier Elimination in Classification Tasks". 2022.
  3. Hetlerovic, D; Popelinsky, L; Brazdil, P; Soares, C; Freitas, F. "On Usefulness of Outlier Elimination in Classification Tasks". 2022.
    10.1007/978-3-031-01333-1_12
  4. Baghcheband, H; Soares, C; Reis, LP. "Machine Learning Data Markets: Trading Data using a Multi-Agent System". 2022.
    10.1109/wi-iat55865.2022.00073
  5. Baghcheband, H; Soares, C; Reis, LP. "Machine Learning Data Markets: Trading Data using a Multi-Agent System". 2022.
  6. Leite, B; Abdalrahman, A; Castro, J; Frade, J; Moreira, J; Soares, C. "Novelty Detection in Physical Activity". 2021.
    10.5220/0010254908590865
  7. Barros, F; Cerqueira, V; Soares, C. "Empirical Study on the Impact of Different Sets of Parameters of Gradient Boosting Algorithms for Time-Series Forecasting with LightGBM". 2021.
    10.1007/978-3-030-89188-6_34
  8. Zejnilovic L.; Lavado S.; Soares C.; de Rituerto De Troya Í.M.; Bell A.; Ghani R.. "Machine Learning Informed Decision-Making with Interpreted Model's Outputs: A Field Intervention". 2021.
    10.5465/ambpp.2021.264
  9. Cruz, AF; Saleiro, P; Belem, C; Soares, C; Bizarro, P. "Promoting Fairness through Hyperparameter Optimization". 2021.
    10.1109/icdm51629.2021.00119
  10. Ribeiro, J.; Fontes, T.; Soares, C.; Borges, J.L.. "Process discovery on geolocation data". 2020.
    10.1016/j.trpro.2020.03.086
  11. Costa, J; Lopes, I; Carreiro, A; Ribeiro, D; Soares, C. "Fraunhofer AICOS at CLEF eHealth 2020 Task 1: Clinical Code Extraction From Textual Data Using Fine-Tuned BERT Models". 2020.
  12. Leite, B; Cardoso, HL; Reis, LP; Soares, C. "Factual Question Generation for the Portuguese Language". 2020.
    10.1109/inista49547.2020.9194631
  13. de Sa, CR; Shekar, AK; Ferreira, H; Soares, C. "Building Robust Prediction Models for Defective Sensor Data Using Artificial Neural Networks". 2020.
    10.1007/978-3-030-20055-8_14
  14. Baghoussi, Y; Moreira, JM; Moniz, N; Soares, C. "Underground Train Tracking using Mobile Phone Accelerometer Data". 2020.
    10.1109/itsc45102.2020.9294569
  15. Ribeiro, D; Costa, J; Lopes, I; Barbosa, T; Soares, C; Sousa, F; Ribeiro, J; Rocha, D; Silva, M. "FILLET - Platform for Intelligent Nutrition". 2020.
    10.1109/aiccsa50499.2020.9316490
  16. Pereira, TS; Cunha, T; Soares, C. "$\mu-\text{cf}2\text{vec}$: Representation Learning for Personalized Algorithm Selection in Recommender Systems". 2020.
    10.1109/icdmw51313.2020.00034
  17. Cerqueira, V; Torgo, L; Soares, C. "Layered Learning for Early Anomaly Detection: Predicting Critical Health Episodes". 2019.
    10.1007/978-3-030-33778-0_33
  18. Correia, A; Soares, C; Jorge, A. "Dataset Morphing to Analyze the Performance of Collaborative Filtering". 2019.
    10.1007/978-3-030-33778-0_3
  19. Felix, C; Soares, C; Jorge, A; Ferreira, H. "Using Metalearning for Parameter Tuning in Neural Networks". 2018.
    10.1007/978-3-319-68195-5_120
  20. Rivolli, A; Soares, C; de Carvalho, ACPLF. "Label Expansion for Multi-Label Classification". 2018.
    10.1109/bracis.2018.00078
  21. Mercier, M; Santos, MS; Abreu, PH; Soares, C; Soares, JP; Santos, J. "Analysing the Footprint of Classifiers in Overlapped and Imbalanced Contexts". 2018.
    10.1007/978-3-030-01768-2_17
  22. Das Dores, SCN; Soares, C; Ruiz, D. "Bandit-Based Automated Machine Learning". 2018.
    10.1109/bracis.2018.00029
  23. Cerqueira, V; Pinto, F; Torgo, L; Soares, C; Moniz, N. "Constructive Aggregation and Its Application to Forecasting with Dynamic Ensembles". 2018.
    10.1007/978-3-030-10925-7_38
  24. Silva, P; Rivolli, A; Rocha, P; Correia, F; Soares, C. "Machine Learning for Drugs Prescription". 2018.
    10.1007/978-3-030-03493-1_57
  25. Cunha, T; Soares, C; de Carvalho, ACPLF. "CF4CF-META: Hybrid Collaborative Filtering Algorithm Selection Framework". 2018.
    10.1007/978-3-030-01771-2_8
  26. Cunha, T; Soares, C; de Carvalho, ACPLF. "A Label Ranking approach for selecting rankings of Collaborative Filtering algorithms". 2018.
    10.1145/3167132.3167418
  27. Cunha, T; Soares, C; de Carvalho, ACPLF. "CF4CF: Recommending Collaborative Filtering algorithms using Collaborative Filtering". 2018.
    10.1145/3240323.3240378
  28. Cunha, T; Soares, C; de Carvalho, ACPLF. "Recommending Collaborative Filtering Algorithms Using Subsampling Landmarkers". 2017.
    10.1007/978-3-319-67786-6_14
  29. Pinto, F; Cerqueira, V; Soares, C; Moreira, JM. "autoBagging: Learning to Rank Bagging Workflows with Metalearning". 2017.
  30. Cunha, T; Soares, C; de Carvalho, ACPLF. "Metalearning for Context-aware Filtering: Selection of Tensor Factorization Algorithms". 2017.
    10.1145/3109859.3109899
  31. Saleiro, P; Sarmento, L; Rodrigues, EM; Soares, C; Oliveira, E. "Learning Word Embeddings from the Portuguese Twitter Stream: A Study of Some Practical Aspects". 2017.
    10.1007/978-3-319-65340-2_71
  32. Jorge, AM; Vinagre, J; Domingues, M; Gama, J; Soares, C; Matuszyk, P; Spiliopoulou, M. "Scalable Online Top-N Recommender Systems". 2017.
    10.1007/978-3-319-53676-7_1
  33. Saleiro, P; Frayling, NM; Rodrigues, EM; Soares, C. "Early Fusion Strategy for Entity-Relationship Retrieval". 2017.
  34. Cerqueira, V; Torgo, L; Soares, C. "Arbitrated Ensemble for Solar Radiation Forecasting". 2017.
    10.1007/978-3-319-59153-7_62
  35. Saleiro, P; Rodrigues, EM; Soares, C; Oliveira, EC. "FEUP at SemEval-2017 Task 5: Predicting Sentiment Polarity and Intensity with Financial Word Embeddings". 2017.
  36. Saleiro, P; Frayling, NM; Rodrigues, EM; Soares, C. "RELink: A Research Framework and Test Collection for Entity-Relationship Retrieval". 2017.
    10.1145/3077136.3080756
  37. das Dôres, SN; Soares, C; Ruiz, DDA. "Effect of Metalearning on Feature Selection Employment". 2017.
  38. Cerqueira, V; Torgo, L; Pinto, F; Soares, C. "Arbitrated Ensemble for Time Series Forecasting". 2017.
    10.1007/978-3-319-71246-8_29
  39. Costa, A; Cunha, T; Soares, C. "AToMRS: A Tool to Monitor Recommender Systems". 2016.
    10.5220/0005992801330140
  40. de Sa, CR; Duivesteijn, W; Soares, C; Knobbe, A. "Exceptional Preferences Mining". 2016.
    10.1007/978-3-319-46307-0_1
  41. Cerqueira, V; Pinto, F; Sa, C; Soares, C. "Combining Boosted Trees with Metafeature Engineering for Predictive Maintenance". 2016.
    10.1007/978-3-319-46349-0_35
  42. Zarmehri, MN; Soares, C. "Collaborative Data Analysis in Hyperconnected Transportation Systems". 2016.
    10.1007/978-3-319-45390-3_2
  43. Pinto, F; Soares, C; Moreira, JM. "CHADE: Metalearning with Classifier Chains for Dynamic Combination of Classifiers". 2016.
    10.1007/978-3-319-46128-1_26
  44. Pinto, F; Soares, C; Mendes Moreira, J. "Towards Automatic Generation of Metafeatures". 2016.
    10.1007/978-3-319-31753-3_18
  45. Saleiro, P; Teixeira, J; Soares, C; Oliveira, EC. "TimeMachine: Entity-Centric Search and Visualization of News Archives". 2016.
    10.1007/978-3-319-30671-1_78
  46. Rodrigues, T; Cunha, T; Ienco, D; Poncelet, P; Soares, C. "RetweetPatterns: detection of spatio-temporal patterns of retweets". 2016.
    10.1007/978-3-319-31232-3_83
  47. Maia, A; Cunha, T; Soares, C; Abreu, PH. "TweeProfiles3: visualization of spatio-temporal patterns on Twitter". 2016.
    10.1007/978-3-319-31232-3_82
  48. Cunha, T; Soares, C; Carvalho, ACPLFd. "Selecting Collaborative Filtering Algorithms Using Metalearning". 2016.
    10.1007/978-3-319-46227-1_25
  49. Saleiro, P; Soares, C. "Learning from the News: Predicting Entity Popularity on Twitter". 2016.
    10.1007/978-3-319-46349-0_15
  50. Saleiro, P; Gomes, L; Soares, C. "Sentiment Aggregate Functions for Political Opinion Polling using Microblog Streams". 2016.
    10.1145/2948992.2949022
  51. Felix, C; Soares, C; Jorge, A. "Can Metalearning Be Applied to Transfer on Heterogeneous Datasets?". 2016.
    10.1007/978-3-319-32034-2_28
  52. Saleiro, P; Amir, S; Silva, M; Soares, C. "POPmine: Tracking Political Opinion on the Web". 2015.
    10.1109/cit/iucc/dasc/picom.2015.228
  53. Strecht, P; Cruz, L; Soares, C; Moreira, JM; Abreu, R. "A Comparative Study of Regression and Classification Algorithms for Modelling Students' Academic Performance". 2015.
  54. Rebelo, F; Soares, C; Rossetti, RJF. "TwitterJam: Identification of Mobility Patterns in Urban Centers Based on Tweets". 2015.
    10.1109/ISC2.2015.7366156
  55. Pinto, F; Soares, C; Mendes Moreira, J. "Pruning Bagging Ensembles with Metalearning". 2015.
    10.1007/978-3-319-20248-8_6
  56. Vilaca, A; Aguiar, A; Soares, C. "Estimating Fuel Consumption from GPS Data". 2015.
    10.1007/978-3-319-19390-8_75
  57. Zarmehri, MN; Soares, C. "Metalearning to Choose the Level of Analysis in Nested Data: A Case Study on Error Detection in Foreign Trade Statistics". 2015.
    10.1109/ijcnn.2015.7280656
  58. Zarmehri, MN; Soares, C. "Using Metalearning for Prediction of Taxi Trip Duration Using Different Granularity Levels". 2015.
    10.1007/978-3-319-24465-5_18
  59. de Sa, CR; Rebelo, C; Soares, C; Knobbe, A. "Distance-Based Decision Tree Algorithms for Label Ranking". 2015.
    10.1007/978-3-319-23485-4_52
  60. Félix, C; Soares, C; Jorge, A. "Metalearning for multiple-domain transfer learning". 2015.
  61. Pinto, Fábio; Soares, Carlos; Mendes-Moreira, João. "Metalearning For Pruning and Dynamic Integration In Bagging Ensembles". Paper presented in ECMLPKDD 2015 doctoral consortium co-located with ECML PKDD 2015, Porto, 2015.
    Published
  62. Pinto, F; Mendes Moreira, J; Soares, C; Rossetti, RJF. "Simulation of the ensemble generation process: The divergence between data and model similarity". 2014.
  63. Cunha, T; Soares, C; Rodrigues, EM. "TweeProfiles: Detection of Spatio-temporal Patterns on Twitter". 2014.
    10.1007/978-3-319-14717-8_10
  64. Pinto, F; Soares, C; Mendes Moreira, J. "An Empirical Methodology to Analyze the Behavior of Bagging". 2014.
    10.1007/978-3-319-14717-8_16
  65. Strecht, P; Mendes Moreira, J; Soares, C. "Merging Decision Trees: A Case Study in Predicting Student Performance". 2014.
    10.1007/978-3-319-14717-8_42
  66. Felix, C; Soares, C; Jorge, A; Vinagre, J. "Monitoring Recommender Systems: A Business Intelligence Approach". 2014.
    10.1007/978-3-319-09153-2_21
  67. Abreu, P; Soares, C; Camacho, R. "Distributed Enviroment Framework for Optimization Experiments". 2014.
    10.1109/iccsa.2014.59
  68. Pinto, F; Soares, C; Mendes Moreira, J. "A framework to decompose and develop metafeatures". 2014.
  69. Cunha, T.; Rossetti, R.J.F.; Soares, C.. "Analysing Collaborative Filtering algorithms in a multi-agent environment". 2014.
  70. Vanschoren, J.; Brazdil, P.; Soares, C.; Kotthoff, L.. "Preface". 2014.
  71. Strecht, Pedro; Mendes-Moreira, João; Soares, Carlos. "Educational Data Mining: preliminary results at University of Porto". Paper presented in EUNIS 2014, Umea, 2014.
    Published
  72. Saleiro, P; Rei, L; Pasquali, A; Soares, C; Teixeira, J; Pinto, F; Nozari, M; Felix, C; Strecht, P. "POPSTAR at RepLab 2013: Name ambiguity resolution on Twitter". 2013.
  73. Sousa, AFM; Prudencio, RBC; Soares, C; Ludermir, TB. "Active Selection of Training Instances for a Random forest Meta-Learner". 2013.
    10.1109/IJCNN.2013.6706798
  74. Abreu, Pedro; Soares, Carlos; Bastos, João; Byvoet, Michel; Mendes-Moreira, João; Jorge, Alípio Mário; Caldas, Álvaro; Azevedo, Américo. "Business Intelligence and Data Mining in the Customized Fashion Industry: A Solution Combining Pentaho and RapidMiner". Paper presented in RapidMiner Community Meeting and Conference (RCOMM 2013), Porto, 2013.
    Published
  75. Pinto, F.; Soares, C.. "Predicting the accuracy of regression models in the retail industry". 2012.
  76. Gomes, T.; Miranda, P.; Prudencio, R.; Soares, C.; Carvalho, A.. "Combining meta-learning and optimization algorithms for parameter selection". 2012.
  77. Miranda, P.B.C.; Prudencio, R.B.C.; Carvalho, A.C.P.L.F.; Soares, C.. "Combining meta-learning with multi-objective particle swarm algorithms for svm parameter selection: An experimental analysis". 2012.
    10.1109/SBRN.2012.12
  78. Rossi, A.L.D.; Carvalho, A.C.P.L.F.; Soares, C.. "Meta-learning for periodic algorithm selection in time-changing data". 2012.
    10.1109/SBRN.2012.50
  79. Prudencio, RBC; Soares, C; Ludermir, TB. "Uncertainty Sampling Methods for Selecting Datasets in Active Meta-Learning". 2011.
    10.1109/ijcnn.2011.6033343
  80. de Sa, CR; Soares, C; Jorge, AM; Azevedo, P; Costa, J. "Mining Association Rules for Label Ranking". 2011.
    10.1007/978-3-642-20847-8-36
  81. Azevedo, A; Bastos, J; Almeida, A; Soares, C; Magaletti, N; Del Grosso, E; Stellmach, D; et al. "Customer-Oriented and Eco-friendly Networks for Health Fashionable Goods - The CoReNet Approach". 2011.
    10.1007/978-3-642-23330-2_8
  82. Kanda, J.Y.; De Carvalho, A.C.P.L.F.; Hruschka, E.R.; Soares, C.. "Using meta-learning to recommend meta-heuristics for the traveling salesman problem". 2011.
    10.1109/icmla.2011.153
  83. De Souza, B.F.; De Carvalho, A.C.P.L.F.; Soares, C.. "A comprehensive comparison of ML algorithms for gene expression data classification". 2010.
    10.1109/ijcnn.2010.5596651
  84. Kanda, J.; Carvalho, A.; Hruschka, E.; Soares, C.. "Using meta-learning to classify Traveling Salesman Problems". 2010.
    10.1109/SBRN.2010.21
  85. Gomes, T.A.F.; Prudêncio, R.B.C.; Soares, C.; Rossi, A.L.D.; Carvalho, A.. "Combining meta-learning and search techniques to SVM parameter selection". 2010.
    10.1109/sbrn.2010.22
  86. De Souza, B.F.; De Carvalho, A.; Soares, C.. "Metalearning for gene expression data classification". 2008.
    10.1109/his.2008.157
  87. Rossi, A.L.D.; Carvalho, A.C.P.L.F.; Soares, C.. "Bio-inspired parameter tunning of MLP networks for gene expression analysis". 2008.
    10.1109/HIS.2008.152
  88. Domingues, M.A.; Jorge, A.M.; Soares, C.. "The impact of contextual information on the accuracy of existing recommender systems for Web personalization". 2008.
    10.1109/WIIAT.2008.219
  89. Mendes-Moreira, João; Freire de Sousa, Jorge; Jorge, Alípio Mário; Soares, Carlos. "An ensemble regression approach for bus trip time prediction". Paper presented in the 11th meeting of the EURO working group on transportation, Bari, 2006.
    Published
  90. Mendes-Moreira, João; Jorge, Alípio Mário; Freire de Sousa, Jorge; Soares, Carlos. "Trip time prediction in mass transit companies. A machine learning approach.". Paper presented in EURO-Working Group on Transportation, Poznan, 2005.
    Published
  91. Mendes-Moreira, João; Jorge, Alípio Mário; Freire de Sousa, Jorge; Soares, Carlos. "A data mining approach for trip time prediction in mass transit companies". Paper presented in Data Mining for Business, a workshop co-located with ECML/PKDD 2005, Porto, 2005.
    Published
  92. Soares, C; Brazdil, P; Costa, J. "Measures to evaluate rankings of classification algorithms". 2000.
  93. Soares, C; Calejo, M. "From Graphical Objects to Terms and Back: an Extended Application Framework for Prolog". 1997.
Edited book
  1. Soares, C; Torgo, L. Discovery Science - 24th International Conference, DS 2021, Halifax, NS, Canada, October 11-13, 2021, Proceedings. 2021.
  2. Boström, Henrik; Knobbe, ArnoJ.; Soares, Carlos; Papapetrou, Panagiotis. Advances in Intelligent Data Analysis XV - 15th International Symposium, IDA 2016, Stockholm, Sweden, October 13-15, 2016, Proceedings. 2016.
    10.1007/978-3-319-46349-0
  3. Appice, A; Rodrigues, PP; Costa, VS; Gama, J; Jorge, A; Soares, C. Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part II. 2015.
    10.1007/978-3-319-23525-7
  4. Appice, A; Rodrigues, PP; Costa, VS; Soares, C; Gama, J; Jorge, A. Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part I. 2015.
    10.1007/978-3-319-23528-8
  5. Vanschoren, J; Brazdil, P; Soares, C; Kotthoff, L. Proceedings of the International Workshop on Meta-learning and Algorithm Selection co-located with 21st European Conference on Artificial Intelligence, MetaSel@ECAI 2014, Prague, Czech Republic, August 19, 2014. 2014.
  6. Fischer, Simon; Mierswa, Ingo; Mendes-Moreira, João; Soares, Carlos. Proceedings of the 4th RapidMiner Community Meeting and Conference (RCOMM 2013). Aachen: Shaker-Verlag. 2013.
  7. Soares, C; Ghani, R. Data Mining for Business Applications. 2010.
  8. Soares, Carlos; Peng, Yonghong; Meng, Jun; Washio, Takashi; Zhou, ZhiHua. Applications of Data Mining in E-Business and Finance. 2008.
Journal article
  1. J. Ribeiro; T. Fontes; C. Soares; J.L. Borges. "Multidimensional subgroup discovery on event logs". Expert Systems with Applications (2024): https://doi.org/10.1016/j.eswa.2024.123205.
    10.1016/j.eswa.2024.123205
  2. Hajar Baghcheband; Carlos Soares; Luis Paulo Reis. "Machine Learning Data Market Based on Multiagent Systems". IEEE Internet Computing (2024): https://doi.org/10.1109/MIC.2024.3399049.
    10.1109/MIC.2024.3399049
  3. Telmo Baptista; Carlos Soares; Tiago Oliveira; Filipe Soares. "Federated Learning for Computer-Aided Diagnosis of Glaucoma Using Retinal Fundus Images". Applied Sciences (2023): https://doi.org/10.3390/app132111620.
    10.3390/app132111620
  4. Silva, IOe; Soares, C; Sousa, I; Ghani, R. "Systematic analysis of the impact of label noise correction on ML Fairness". CoRR (2023):
  5. Cerqueira, V; Torgo, L; Soares, C. "A case study comparing machine learning with statistical methods for time series forecasting: size matters". JOURNAL OF INTELLIGENT INFORMATION SYSTEMS (2022):
    10.1007/s10844-022-00713-9
  6. Rivolli, A; Garcia, LPF; Soares, C; Vanschoren, J; de Carvalho, ACPLF. "Meta-features for meta-learning". Knowl. Based Syst. (2022):
    10.1016/j.knosys.2021.108101
  7. Ribeiro, J; Fontes, T; Soares, C; Borges, J. "Multidimensional Subgroup Discovery on Event Logs". SSRN Electronic Journal (2022):
    10.2139/ssrn.4045879
  8. Rossi, ALD; Soares, C; de Souza, BF; de Carvalho, ACPDF. "Micro-MetaStream: Algorithm selection for time-changing data". INFORMATION SCIENCES (2021):
    10.1016/j.ins.2021.02.075
  9. Strecht, P; Mendes Moreira, J; Soares, C. "Inmplode: A framework to interpret multiple related rule-based models". EXPERT SYSTEMS (2021):
    10.1111/exsy.12702
  10. Ribeiro, Joel; Fontes, Tânia; Soares, Carlos; Borges, José Luís. "Accessibility as an indicator to estimate social exclusion in public transport". Transportation Research Procedia 52 (2021): 740-747. http://dx.doi.org/10.1016/j.trpro.2021.01.019.
    Published • 10.1016/j.trpro.2021.01.019
  11. Rivolli, A; Read, J; Soares, C; Pfahringer, B; de Carvalho, ACPLF. "An empirical analysis of binary transformation strategies and base algorithms for multi-label learning". MACHINE LEARNING (2020):
    10.1007/s10994-020-05879-3
  12. Alvaro Neuenfeldt Júnior; Elsa Silva; A. Miguel Gomes; Carlos Soares; José Fernando Oliveira. "Data mining based framework to assess solution quality for the rectangular 2D strip-packing problem". Expert Systems with Applications 118 (2019): 365-380. https://doi.org/10.1016/j.eswa.2018.10.006.
    10.1016/j.eswa.2018.10.006
  13. Cerqueira, V; Torgo, L; Pinto, F; Soares, C. "Arbitrage of forecasting experts". MACHINE LEARNING (2019):
    10.1007/s10994-018-05774-y
  14. de Sa, CR; Azevedo, P; Soares, C; Jorge, AM; Knobbe, A. "Preference rules for label ranking: Mining patterns in multi-target relations". INFORMATION FUSION (2018):
    10.1016/j.inffus.2017.07.001
  15. de Sa, CR; Duivesteijn, W; Azevedo, P; Jorge, AM; Soares, C; Knobbe, A. "Discovering a taste for the unusual: exceptional models for preference mining". MACHINE LEARNING (2018):
    10.1007/s10994-018-5743-z
  16. Rivolli, A; Soares, C; de Carvalho, ACPLF. "Enhancing multilabel classification for food truck recommendation". EXPERT SYSTEMS (2018):
    10.1111/exsy.12304
  17. Saleiro, P; Rodrigues, EM; Soares, C; Oliveira, E. "TexRep: A Text Mining Framework for Online Reputation Monitoring". NEW GENERATION COMPUTING (2017):
    10.1007/s00354-017-0021-3
  18. Debiaso Rossi, ALD; de Souza, BF; Soares, C; de Leon Ferreira de Carvalho, ACPDF. "A guidance of data stream characterization for meta-learning". INTELLIGENT DATA ANALYSIS (2017): https://www.authenticus.pt/P-00M-Y0W.
    10.3233/ida-160083
  19. de Sa, CR; Soares, C; Knobbe, A; Cortez, P. "Label Ranking Forests". EXPERT SYSTEMS (2017): https://www.authenticus.pt/P-00M-FN6.
    10.1111/exsy.12166
  20. Lopes, MA; Soares, C; Almeida, A; Almada Lobo, B. "Comparing comparables: an approach to accurate cross-country comparisons of health systems for effective healthcare planning and policy guidance". HEALTH SYSTEMS (2016):
    10.1057/hs.2015.21
  21. de Sa, CR; Soares, C; Knobbe, A. "Entropy-based discretization methods for ranking data". INFORMATION SCIENCES (2016): https://www.authenticus.pt/P-00J-ZHE.
    10.1016/j.ins.2015.04.022
  22. Kanda, J; de Carvalho, A; Hruschka, E; Soares, C; Brazdil, P. "Meta-learning to select the best meta-heuristic for the Traveling Salesman Problem: A comparison of meta-features". NEUROCOMPUTING (2016): https://www.authenticus.pt/P-00K-K0A.
    10.1016/j.neucom.2016.04.027
  23. Sousa, AFM; Prudencio, RBC; Ludermir, TB; Soares, C. "Active learning and data manipulation techniques for generating training examples in meta-learning". NEUROCOMPUTING (2016): https://www.authenticus.pt/P-00K-G85.
    10.1016/j.neucom.2016.02.007
  24. Brito, PQ; Soares, C; Almeida, S; Monte, A; Byvoet, M. "Customer segmentation in a large database of an online customized fashion business". ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2015): https://www.authenticus.pt/P-00G-DHA.
    10.1016/j.rcim.2014.12.014
  25. Pinto, F; Soares, C; Brazdil, P. "Combining regression models and metaheuristics to optimize space allocation in the retail industry". INTELLIGENT DATA ANALYSIS (2015): https://www.authenticus.pt/P-00G-SBX.
    10.3233/ida-150775
  26. Da Costa, JP; Roque, LAC; Soares, C. "The weighted rank correlation coefficient in the case of ties". STATISTICS & PROBABILITY LETTERS (2015): https://www.authenticus.pt/P-00A-424.
    10.1016/j.spl.2014.12.024
  27. Mendes Moreira, J; Jorge, AM; de Sousa, JF; Soares, C. "Improving the accuracy of long-term travel time prediction using heterogeneous ensembles". NEUROCOMPUTING (2015): https://www.authenticus.pt/P-00A-3NB.
    10.1016/j.neucom.2014.08.072
  28. Aiguzhinov, A; Serra, AP; Soares, C. "Are Rankings of Financial Analysts Useful to Investors?". SSRN Electronic Journal (2015):
    10.2139/ssrn.2680094
  29. Aiguzhinov, A; Serra, APSFM; Soares, C. "Understanding Rankings of Financial Analysts". SSRN Electronic Journal (2015):
    10.2139/ssrn.2680301
  30. Miranda, P. B. C.; Prudencio, R. B. C.; de Carvalho, Aplf; Soares, C.. "A hybrid meta-learning architecture for multi-objective optimization of SVM parameters". Neurocomputing 143 (2014): 27-43.
    10.1016/j.neucom.2014.06.026
  31. Domingues, MA; Soares, C; Jorge, AM; Rezende, SO. "A data warehouse to support web site automation". Journal of the Brazilian Computer Society (2014): https://www.authenticus.pt/P-00F-YEM.
    10.1186/1678-4804-20-11
  32. Rossi, A.L.D.; de Carvalho, A.C.P.D.L.F.; Soares, C.; de Souza, B.F.. "MetaStream: A meta-learning based method for periodic algorithm selection in time-changing data". Neurocomputing 127 (2014): 52-64. http://www.scopus.com/inward/record.url?eid=2-s2.0-84888400212&partnerID=MN8TOARS.
    10.1016/j.neucom.2013.05.048
  33. De Sá, C.R.; Soares, C.; Knobbe, A.; Azevedo, P.; Jorge, A.M.. "Multi-interval discretization of continuous attributes for label ranking". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 8140 LNAI (2013): 155-169. http://www.scopus.com/inward/record.url?eid=2-s2.0-84888363756&partnerID=MN8TOARS.
    10.1007/978-3-642-40897-7_11
  34. Domingues, M.A.; Soares, C.; Jorge, A.M.. "Using statistics, visualization and data mining for monitoring the quality of meta-data in web portals". Information Systems and e-Business Management 11 4 (2013): 569-595. http://www.scopus.com/inward/record.url?eid=2-s2.0-84888019278&partnerID=MN8TOARS.
    10.1007/s10257-012-0209-5
  35. Pinto, F.; Soares, C.. "Space allocation in the retail industry: A decision support system integrating evolutionary algorithms and regression models". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 8190 LNAI PART 3 (2013): 531-546. http://www.scopus.com/inward/record.url?eid=2-s2.0-84886490871&partnerID=MN8TOARS.
    10.1007/978-3-642-40994-3_34
  36. Domingues, M.A.; Jorge, A.M.; Soares, C.. "Dimensions as Virtual Items: Improving the predictive ability of top-N recommender systems". Information Processing and Management 49 3 (2013): 698-720. http://www.scopus.com/inward/record.url?eid=2-s2.0-84878114594&partnerID=MN8TOARS.
    10.1016/j.ipm.2012.07.009
  37. Ribeiro, G.; Duivesteijn, W.; Soares, C.; Knobbe, A.. "Multilayer perceptron for label ranking". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7553 LNCS PART 2 (2012): 25-32. http://www.scopus.com/inward/record.url?eid=2-s2.0-84867689257&partnerID=MN8TOARS.
    10.1007/978-3-642-33266-1_4
  38. Miranda, P.B.C.; Prudencio, R.B.C.; De Carvalho, A.C.P.L.F.; Soares, C.. "Multi-objective optimization and Meta-learning for SVM parameter selection". Proceedings of the International Joint Conference on Neural Networks (2012): http://www.scopus.com/inward/record.url?eid=2-s2.0-84865094425&partnerID=MN8TOARS.
    10.1109/IJCNN.2012.6252378
  39. De Miranda, P.B.C.; Prudêncio, R.B.C.; De Carvalho, A.C.P.L.F.; Soares, C.. "An experimental study of the combination of meta-learning with particle swarm algorithms for SVM parameter selection". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7335 LNCS PART 3 (2012): 562-575. http://www.scopus.com/inward/record.url?eid=2-s2.0-84863960565&partnerID=MN8TOARS.
    10.1007/978-3-642-31137-6_43
  40. Mendes-Moreira, J.; Jorge, A.M.; De Sousa, J.F.; Soares, C.. "Comparing state-of-the-art regression methods for long term travel time prediction". Intelligent Data Analysis 16 3 (2012): 427-449. http://www.scopus.com/inward/record.url?eid=2-s2.0-84861377110&partnerID=MN8TOARS.
    10.3233/IDA-2012-0532
  41. Gomes, T.A.F.; Prudcncio, R.B.C.; Soares, C.; Rossi, A.L.D.; Carvalho, A.. "Combining meta-learning and search techniques to select parameters for support vector machines". Neurocomputing 75 (2012): 3-13. http://www.scopus.com/inward/record.url?eid=2-s2.0-82455210873&partnerID=MN8TOARS.
    10.1016/j.neucom.2011.07.005
  42. Mendes-Moreira, J.; Jorge, A. M.; de Sousa, J. F.; Soares, C.. "Comparing state-of-the-art regression methods for long term travel time prediction". Intelligent Data Analysis 16 3 (2012): 427-449.
    10.3233/ida-2012-0532
  43. De Miranda, P.B.C.; Prudencio, R.B.C.; De Carvalho, A.P.L.F.; Soares, C.. "Combining a multi-objective optimization approach with meta-learning for SVM parameter selection". Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics (2012): 2909-2914. http://www.scopus.com/inward/record.url?eid=2-s2.0-84872405026&partnerID=MN8TOARS.
    10.1109/ICSMC.2012.6378235
  44. Gomes, C.; Almada-Lobo, B.; Borges, J.; Soares, C.. "Integrating data mining and optimization techniques on surgery scheduling". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7713 LNAI (2012): 589-602. http://www.scopus.com/inward/record.url?eid=2-s2.0-84872732251&partnerID=MN8TOARS.
    10.1007/978-3-642-35527-1_49
  45. Kanda, J.; Soares, C.; Hruschka, E.; De Carvalho, A.. "A meta-learning approach to select meta-heuristics for the traveling salesman problem using MLP-based label ranking". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7665 LNCS PART 3 (2012): 488-495. http://www.scopus.com/inward/record.url?eid=2-s2.0-84869001787&partnerID=MN8TOARS.
    10.1007/978-3-642-34487-9_59
  46. Jorge, A.M.; Mendes-Moreira, J.; De Sousa, J.F.; Soares, C.; Azevedo, P.J.. "Finding interesting contexts for explaining deviations in bus trip duration using distribution rules". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7619 LNCS (2012): 139-149. http://www.scopus.com/inward/record.url?eid=2-s2.0-84868010720&partnerID=MN8TOARS.
    10.1007/978-3-642-34156-4_14
  47. Mendes-Moreira, J.; Soares, C.; Jorge, A.M.; De Sousa, J.F.. "Ensemble approaches for regression: A survey". ACM Computing Surveys 45 1 (2012): http://www.scopus.com/inward/record.url?eid=2-s2.0-84871245760&partnerID=MN8TOARS.
    10.1145/2379776.2379786
  48. Kanda, J; Carvalho, ACPLFd; Hruschka, ER; Soares, C. "Selection of algorithms to solve traveling salesman problems using meta-learning". Int. J. Hybrid Intell. Syst. (2011): https://www.authenticus.pt/P-009-335.
    10.3233/HIS-2011-0133
  49. Domingues, M.A.; Jorge, A.M.; Soares, C.. "Exploiting additional dimensions as virtual items on top-N recommender systems". Proceedings - 2011 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2011 1 (2011): 92-95. http://www.scopus.com/inward/record.url?eid=2-s2.0-80155135784&partnerID=MN8TOARS.
    10.1109/WI-IAT.2011.55
  50. Prudêncio, R.B.C.; Soares, C.; Ludermir, T.B.. "Uncertainty sampling-based active selection of datasetoids for meta-learning". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6792 LNCS PART 2 (2011): 454-461. http://www.scopus.com/inward/record.url?eid=2-s2.0-79959334734&partnerID=MN8TOARS.
    10.1007/978-3-642-21738-8_58
  51. Torgo, L.; Soares, C.. "Resource-bounded outlier detection using clustering methods". Frontiers in Artificial Intelligence and Applications 218 (2010): 84-98. http://www.scopus.com/inward/record.url?eid=2-s2.0-78049253616&partnerID=MN8TOARS.
    10.3233/978-1-60750-633-1-84
  52. Soares, C.; Ghani, R.. "Data mining for business applications: Introduction". Frontiers in Artificial Intelligence and Applications 218 (2010): 1-14. http://www.scopus.com/inward/record.url?eid=2-s2.0-78049273816&partnerID=MN8TOARS.
    10.3233/978-1-60750-633-1-1
  53. Soares, C.; Ghani, R.. "Frontiers in Artificial Intelligence and Applications: Preface". Frontiers in Artificial Intelligence and Applications 218 (2010): http://www.scopus.com/inward/record.url?eid=2-s2.0-78049234276&partnerID=MN8TOARS.
  54. Aiguzhinov, A.; Soares, C.; Serra, A.P.. "A similarity-based adaptation of naive Bayes for label ranking: Application to the metalearning problem of algorithm recommendation". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6332 LNAI (2010): 16-26. http://www.scopus.com/inward/record.url?eid=2-s2.0-78650122268&partnerID=MN8TOARS.
    10.1007/978-3-642-16184-1_2
  55. De Souza, B.F.; De Carvalho, A.C.P.L.F.; Soares, C.. "Empirical evaluation of ranking prediction methods for gene expression data classification". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6433 LNAI (2010): 194-203. http://www.scopus.com/inward/record.url?eid=2-s2.0-78650029397&partnerID=MN8TOARS.
    10.1007/978-3-642-16952-6_20
  56. Abreu, P.; Soares, C.; Valente, J.M.S.. "Selection of heuristics for the job-shop scheduling problem based on the prediction of gaps in machines". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5851 LNCS (2009): 134-147. http://www.scopus.com/inward/record.url?eid=2-s2.0-72449131509&partnerID=MN8TOARS.
    10.1007/978-3-642-11169-3_10
  57. Brazdil, P.; Giraud-Carrier, C.; Soares, C.; Vilalta, R.. "Cognitive Technologies: Preface". Cognitive Technologies (2009): http://www.scopus.com/inward/record.url?eid=2-s2.0-78649895438&partnerID=MN8TOARS.
  58. Torgo, L.; Pereira, W.; Soares, C.. "Detecting errors in foreign trade transactions: Dealing with insufficient data". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5816 LNAI (2009): 435-446. http://www.scopus.com/inward/record.url?eid=2-s2.0-71049175422&partnerID=MN8TOARS.
    10.1007/978-3-642-04686-5_36
  59. Mendes-Moreira, J.; Jorge, A.M.; Soares, C.; De Sousa, J.F.. "Ensemble learning: A study on different variants of the dynamic selection approach". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5632 LNAI (2009): 191-205. http://www.scopus.com/inward/record.url?eid=2-s2.0-70350216169&partnerID=MN8TOARS.
    10.1007/978-3-642-03070-3_15
  60. Rossi, A.L.D.; Soares, C.; Carvalho, A.C.P.L.F.. "Bioinspired parameter tuning of mlp networks for gene expression analysis: Quality of fitness estimates vs. number of solutions analysed". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5507 LNCS PART 2 (2009): 252-259. http://www.scopus.com/inward/record.url?eid=2-s2.0-70349153464&partnerID=MN8TOARS.
    10.1007/978-3-642-03040-6_31
  61. Moreira, J.M.; Soares, C.; Jorge, A.; DE Sousa, J.F.. "The effect of varying parameters and focusing on bus travel time prediction". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5476 LNAI (2009): 689-696. http://www.scopus.com/inward/record.url?eid=2-s2.0-67650665962&partnerID=MN8TOARS.
    10.1007/978-3-642-01307-2_69
  62. Soares, C.. "UCI++: Improved support for algorithm selection using datasetoids". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5476 LNAI (2009): 499-506. http://www.scopus.com/inward/record.url?eid=2-s2.0-67650665980&partnerID=MN8TOARS.
    10.1007/978-3-642-01307-2_46
  63. de Souza, B.F.; Soares, C.; de Carvalho, A.C.P.L.F.. "Meta-learning approach to gene expression data classification". International Journal of Intelligent Computing and Cybernetics 2 2 (2009): 285-303. http://www.scopus.com/inward/record.url?eid=2-s2.0-78549232010&partnerID=MN8TOARS.
    10.1108/17563780910959901
  64. Rebelo, C.; Soares, C.; Da Costa, J.P.. "Empirical evaluation of ranking trees on some metalearning problems". AAAI Workshop - Technical Report WS-08-09 (2008): 85-90. http://www.scopus.com/inward/record.url?eid=2-s2.0-66149164448&partnerID=MN8TOARS.
  65. Soares, C.; Peng, Y.; Meng, J.; Washio, T.; Zhou, Z.-H.. "Preface". Frontiers in Artificial Intelligence and Applications 177 1 (2008): http://www.scopus.com/inward/record.url?eid=2-s2.0-84875925543&partnerID=MN8TOARS.
  66. Domingues, M.A.; Leal, J.P.; Jorge, A.M.; Soares, C.; Machado, P.. "A platform to support web site adaptation and monitoring of its effects: A case study". AAAI Workshop - Technical Report WS-08-06 (2008): 29-36. http://www.scopus.com/inward/record.url?eid=2-s2.0-66149173535&partnerID=MN8TOARS.
  67. Soares, C.; Peng, Y.; Meng, J.; Washio, T.; Zhou, Z.-H.. "Applications of data mining in E-business finance: Introduction". Frontiers in Artificial Intelligence and Applications 177 1 (2008): 1-9. http://www.scopus.com/inward/record.url?eid=2-s2.0-84865765514&partnerID=MN8TOARS.
    10.3233/978-1-58603-890-8-1
  68. Rebelo, C.; Brito, P.Q.; Soares, C.; Jorge, A.; Brandão, R.. "Quantitative evaluation of clusterings for marketing applications: A web portal case study". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 4874 LNAI (2007): 437-448. http://www.scopus.com/inward/record.url?eid=2-s2.0-38349080824&partnerID=MN8TOARS.
    10.1007/978-3-540-77002-2_37
  69. Pinto Da Costa, J.; Soares, C.. "Letter to the editor [2]". Australian and New Zealand Journal of Statistics 49 2 (2007): 205-207. http://www.scopus.com/inward/record.url?eid=2-s2.0-34250809145&partnerID=MN8TOARS.
    10.1111/j.1467-842X.2007.00472.x
  70. Soares, C.; de Graaf, E.; Kok, J.N.; Kosters, W.A.. "Sequence mining on web access logs: A case study". Belgian/Netherlands Artificial Intelligence Conference (2006): http://www.scopus.com/inward/record.url?eid=2-s2.0-84874009383&partnerID=MN8TOARS.
  71. Soares, C.; Brazdil, P.B.. "Selecting parameters of SVM using meta-learning and kernel matrix-based meta-features". Proceedings of the ACM Symposium on Applied Computing 1 (2006): 564-568. http://www.scopus.com/inward/record.url?eid=2-s2.0-33751067274&partnerID=MN8TOARS.
    10.1145/1141277.1141408
  72. Moreira, J.M.; Jorge, A.M.; Soares, C.; De Sousa, J.F.. "Improving SVM-linear predictions using CART for example selection". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 4203 LNAI (2006): 632-641. http://www.scopus.com/inward/record.url?eid=2-s2.0-33750324185&partnerID=MN8TOARS.
    10.1007/11875604_70
  73. Ghani, R; Soares, C. "Data mining for business applications: KDD-2006 workshop". SIGKDD Explorations (2006): https://www.authenticus.pt/P-009-33B.
    10.1145/1233321.1233332
  74. Soares, Carlos Manuel Milheiro de Oliveira Pinto; Joaquim Pinto da Costa. "A Weighted Rank Measure of Correlation". Australian and New Zealand Journal of Statistics 47 4 (2005): 515-529.
    Published
  75. Soares, C.; Jorge, A.M.; Domingues, M.A.. "Monitoring the quality of meta-data in web portals using statistics, visualization and data mining". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3808 LNCS (2005): 371-382. http://www.scopus.com/inward/record.url?eid=2-s2.0-33744812144&partnerID=MN8TOARS.
    10.1007/11595014_37
  76. Da Costa, J.P.; Soares, C.. "A weighted rank measure of correlation". Australian and New Zealand Journal of Statistics 47 4 (2005): 515-529. http://www.scopus.com/inward/record.url?eid=2-s2.0-30344470160&partnerID=MN8TOARS.
    10.1111/j.1467-842X.2005.00413.x
  77. Da Costa, JP; Soares, C. "A weighted rank measure of correlation". AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS (2005): https://www.authenticus.pt/P-000-04D.
    10.1111/j.1467-842x.2005.00413.x
  78. Soares, Carlos Manuel Milheiro de Oliveira Pinto; Pavel B. Brazdil; Petr Kuba. "A Meta-Learning Method to Select the Kernel Width in Support Vector Regression". Machine Learning 54 (2004): 195-209.
    Published
  79. Soares, Carlos Manuel Milheiro de Oliveira Pinto; Pavel B. Brazdil; Ricardo Vilalta; Christophe Giraud-Carrier. "Using Meta-Learning to Support Data Mining". International Journal of Computer Science & Applications 1 1 (2004): 31-45.
    Published
  80. Soares, C.; Brazdil, P.B.; Kuba, P.. "A meta-learning method to select the kernel width in support vector regression". Machine Learning 54 3 (2004): 195-209. http://www.scopus.com/inward/record.url?eid=2-s2.0-1642276856&partnerID=MN8TOARS.
    10.1023/B:MACH.0000015879.28004.9b
  81. Vilalta, R; Carrier, CGG; Brazdil, P; Soares, C. "Using Meta-Learning to Support Data Mining". IJCSA (2004): https://www.authenticus.pt/P-009-33C.
  82. Soares, C; Brazdil, PB; Kuba, P. "A meta-learning method to select the kernel width in Support Vector Regression". MACHINE LEARNING (2004): https://www.authenticus.pt/P-000-BFJ.
    10.1023/b:mach.0000015879.28004.9b
  83. Soares, Carlos Manuel Milheiro de Oliveira Pinto; Pavel B. Brazdil; Joaquim Pinto da Costa. "Ranking Learning Algorithms: Using IBL and Meta-Learning on Accuracy and Time Results". Machine Learning 50 (2003): 251-277.
    Published
  84. Soares, C.. "Is the UCI Repository Useful for Data Mining?". LECTURE NOTES IN COMPUTER SCIENCE 2902 (2003): 209-223. http://www.scopus.com/inward/record.url?eid=2-s2.0-0346325856&partnerID=MN8TOARS.
    10.1007/978-3-540-24580-3_28
  85. Brazdil, P. B.; Soares, C.; Da Costa, J. P.. "Ranking learning algorithms: Using IBL and meta-learning on accuracy and time results". Machine Learning 50 3 (2003): 251-277.
    10.1023/a:1021713901879
  86. Brazdil, P.B.; Soares, C.; Da Coasta, J.P.. "Ranking learning algorithms: Using IBL and meta-learning on accuracy and time results". Machine Learning 50 3 (2003): 251-277. http://www.scopus.com/inward/record.url?eid=2-s2.0-0037361994&partnerID=MN8TOARS.
    10.1023/A:1021713901879
  87. Soares, C.; Brazdil, P.. "A comparative study of some issues concerning algorithm recommendation using ranking methods". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2527 LNAI (2002): 80-89. http://www.scopus.com/inward/record.url?eid=2-s2.0-77956248788&partnerID=MN8TOARS.
    10.1007/3-540-36131-6_9
  88. Peng, YH; Flach, PA; Soares, C; Brazdil, P. "Improved dataset characterisation for meta-learning". DISCOVERY SCIENCE, PROCEEDINGS (2002): https://www.authenticus.pt/P-000-R2R.
    10.1007/3-540-36182-0_14
  89. Brazdil, P.; Soares, C.; Pereira, R.. "Reducing rankings of classifiers by eliminating redundant classifiers". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2258 LNAI (2001): 14-21. http://www.scopus.com/inward/record.url?eid=2-s2.0-84867795791&partnerID=MN8TOARS.
    10.1007/3-540-45329-6_5
  90. Soares, C.; Petrak, J.; Brazdil, P.. "Sampling-based relative landmarks: Systematically test-driving algorithms before choosing". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2258 LNAI (2001): 88-95. http://www.scopus.com/inward/record.url?eid=2-s2.0-84867773113&partnerID=MN8TOARS.
    10.1007/3-540-45329-6_12
  91. Brazdil, PB; Soares, C. "A comparison of ranking methods for classification algorithm selection". MACHINE LEARNING: ECML 2000 (2000): https://www.authenticus.pt/P-001-1VS.
    10.1007/3-540-45164-1_8
  92. Gama, J; Torgo, L; Soares, C. "Dynamic discretization of continuous attributes". PROGRESS IN ARTIFICIAL INTELLIGENCE-IBERAMIA 98 (1998): https://www.authenticus.pt/P-001-9PE.
    10.1007/3-540-49795-1_14
Preprint
  1. Cerqueira, Vitor; Santos, Moisés; Baghoussi, Yassine; Soares, Carlos. "On-the-fly Data Augmentation for Forecasting with Deep Learning". 2024. https://arxiv.org/pdf/2404.16918.

Other

Other output
  1. On the joint-effect of class imbalance and overlap: a critical review. 2022. Santos, MS; Abreu, PH; Japkowicz, N; Fernandez, A; Soares, C; Wilk, S; Santos, J.
    10.1007/s10462-022-10150-3
  2. Model Compression for Dynamic Forecast Combination. 2021. Cerqueira, V; Torgo, L; Soares, C; Bifet, A.
  3. Promoting Fairness through Hyperparameter Optimization. 2021. Cruz, AF; Saleiro, P; Belém, C; Soares, C; Bizarro, P.
  4. Model Selection for Time Series Forecasting: Empirical Analysis of Different Estimators. 2021. Cerqueira, V; Torgo, L; Soares, C.
    10.1007/s11063-023-11239-8
  5. Meta-aprendizado para otimizacao de parametros de redes neurais. 2021. Lucas, T; Ludermir, TB; Prudencio, RBC; Soares, C.
  6. Pastprop-RNN: improved predictions of the future by correcting the past. 2021. Baptista, A; Baghoussi, Y; Soares, C; Moreira, JM; Arantes, M.
  7. Preface. 2021. Soares, C; Torgo, L.
    10.1039/9781782622031-fp007
  8. Early Anomaly Detection in Time Series: A Hierarchical Approach for Predicting Critical Health Episodes. 2020. Cerqueira, V; Torgo, L; Soares, C.
    10.1007/s10994-022-06300-x
  9. A Bandit-Based Algorithm for Fairness-Aware Hyperparameter Optimization. 2020. Cruz, AF; Saleiro, P; Belém, C; Soares, C; Bizarro, P.
  10. VEST: Automatic Feature Engineering for Forecasting. 2020. Cerqueira, V; Moniz, N; Soares, C.
    10.1007/s10994-021-05959-y
  11. Preference rules for label ranking: Mining patterns in multi-target relations. 2019. de Sá, CR; Azevedo, PJ; Soares, C; Jorge, AM; Knobbe, AJ.
  12. Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters. 2019. Cerqueira, V; Torgo, L; Soares, C.
    10.1007/s10844-022-00713-9
  13. cf2vec: Collaborative Filtering algorithm selection using graph distributed representations. 2018. Cunha, T; Soares, C; de Carvalho, ACPLF.
  14. Entity-Relationship Search over the Web. 2018. Saleiro, P; Frayling, NM; Rodrigues, EM; Soares, C.
  15. Towards Reproducible Empirical Research in Meta-Learning. 2018. Rivolli, A; Garcia, LPF; Soares, C; Vanschoren, J; de Carvalho, ACPLF.
  16. Metalearning and Recommender Systems: A literature review and empirical study on the algorithm selection problem for Collaborative Filtering. 2018. Cunha, T; Soares, C; de Carvalho, ACPLF.
    10.1016/j.ins.2017.09.050
  17. Algorithm Selection for Collaborative Filtering: the influence of graph metafeatures and multicriteria metatargets. 2018. Cunha, T; Soares, C; de Carvalho, ACPLF.
  18. Building robust prediction models for defective sensor data using Artificial Neural Networks. 2018. Shekar, AK; de Sá, CR; Ferreira, H; Soares, C.
  19. Smart energy management as a means towards improved energy efficiency. 2018. Lindert, Dt; de Sá, CR; Soares, C; Knobbe, AJ.
  20. Mining Association Rules for Ordinal Data Classification using an Unimodal Model. 2012. Costa, Joaquim; Azevedo, Paulo; Jorge, Alípio Mário; Soares, Carlos; Sá, Cláudio Rebelo. http://paginas.fe.up.pt/~prodei/dsie12/papers/paper_25.pdf.
  21. Mining Association Rules for Label Ranking. Lecture Notes in Computer Science. 2011. Soares, Carlos Manuel Milheiro de Oliveira Pinto.
    10.1007/978-3-642-20847-8_36
  22. Rejoinder to letter to the editor from C. Genest and J-F. Plante concerning 'Pinto da Costa, J. & Soares, C. (2005) A weighted rank measure of correlation.'. 2007. da Costa, JP; Soares, C. https://www.authenticus.pt/P-004-9HW.
    10.1111/j.1467-842x.2007.00472.x
  23. Zoomed Ranking: Selection of Classification Algorithms Based on Relevant Performance Information. Lecture Notes in Computer Science. 2000. Soares, Carlos; Brazdil, Pavel B.. http://dx.doi.org/10.1007/3-540-45372-5_13.
    10.1007/3-540-45372-5_13
Activities

Supervision

Thesis Title
Role 		Degree Subject (Type)
Institution / Organization
2013/09/05 - Current sistema de apoio à escolha de algoritmos para problemas de optimização
Supervisor
 Engenharia Informática (PhD)
Universidade do Porto Faculdade de Engenharia, Portugal
2008 - Current Previsão de Rankings de Analistas Financeiro
Supervisor
 Economia Internacional (PhD)
Universidade do Porto, Portugal
2017/08/31 - 2019/12/20 Ensembles for Time Series Forecasting
Co-supervisor
 Informatics Engineering (PhD)
Universidade do Porto Faculdade de Engenharia, Portugal
2016/09/01 - 2019/11/29 Recommending Recommender Systems: tackling the Collaborative Filtering algorithm selection problem
Supervisor
 programa doutoral em engenharia informática (PhD)
Universidade do Porto Faculdade de Engenharia, Portugal
2018 - 2019/10/14 Classificação Automática de Episódios Clínicos
Supervisor
 Engenharia Informática e Computação (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2018 - 2019/09/09 Learning to Rank with Random Forest: A Case Study in Hostel Reservations
Supervisor
 Engenharia Informática e Computação (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2018 - 2019/07/19 A Supervised Approach to Detect Bias in News Sources
Supervisor
 Engenharia Informática e Computação (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2018 - 2019/07/16 Automated Feature Engineering for Classification Problems
Supervisor
 Engenharia de Software (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2018 - 2019/07/12 Automatic Interpretation of Promotional Leaflets in Retail for Pricing Strategy
Supervisor
 Engenharia Electrotécnica e de Computadores (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2018 - 2019/07/12 Prescriptive Analytics for Staff Scheduling Optimization in Retail
Supervisor
 Engenharia Informática e Computação (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2018 - 2019/07/12 An optimization-based wrapper approach for utility-based data mining
Supervisor
 Engenharia Informática e Computação (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2018 - 2019/07/12 Ordinal Regression for Stress Levels Classification in Real-World Scenarios
Supervisor
 Engenharia Informática e Computação (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2015/06/15 - 2019/05/29 Metalearning for multiple-domain Transfer Learning
Supervisor
 doutoramento em ciência de computadores (PhD)
Universidade do Porto Faculdade de Ciências, Portugal
2018 - 2019/02/25 Dataset morphing to analyze the performance of recommender systems
Supervisor
 Engenharia Informática e Computação (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2017 - 2018/07/24 Analyzing Chatbots Data with Data Mining
Supervisor
 Engenharia Informática e Computação (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2017 - 2018/07/24 Machine Learning for drugs prescription
Supervisor
 Engenharia Informática e Computação (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2016/06/01 - 2018/06/14 Leveraging Metalearning for Bagging Classifiers
Supervisor
 programa doutoral em engenharia informática (PhD)
Universidade do Porto Faculdade de Engenharia, Portugal
2016/07/20 - 2017/12/20 Entity Retrieval and Text Mining for Online Reputation Monitoring
Supervisor
 Engenharia Informática (PhD)
Universidade do Porto Faculdade de Engenharia, Portugal
2008/01/09 - 2017/10/18 Predicting the rankings of financial analysts using machine learning methods
Supervisor
 Doutoramento em Economia (PhD)
Universidade do Porto Faculdade de Economia, Portugal
2016 - 2017/02/16 Sequence Mining Analysis on Shopping Data
Supervisor
 Engenharia Informática e Computação (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2016 - 2017/02/10 Infraestrutura de Big Data para manutenção ferroviária: um caso de estudo
Supervisor
 Engenharia Electrotécnica e de Computadores (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2013/03/28 - 2016/12/16 Pattern Mining for Label Ranking
Supervisor
 Computer Science (PhD)
Universiteit Leiden Leiden Institute of Advanced Computer Science, Netherlands

Universidade de Aveiro, Portugal

Universidade do Minho, Portugal

Universidade do Porto Faculdade de Ciências, Portugal

Universidade do Porto Faculdade de Engenharia, Portugal
2015 - 2016/11/22 Empirical study of the behavior of several Recommender System methods on SAPO Videos
Supervisor
 Engenharia Informática e Computação (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2015 - 2016/10/20 Performance Management Analytics for the Automotive Industry: An Empirical Study
Supervisor
 Engenharia Electrotécnica e de Computadores (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2015 - 2016/10/07 Journalism 3.0: Multidimensional Cluster Visualization and Labelling on Twitter Data for Data Journalism
Supervisor
 Engenharia Electrotécnica e de Computadores (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2015 - 2016/09/22 Facebook como suporte à formação dos distribuidores em Venda Multinível – Estudo de caso
Supervisor
 Multimédia (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2011/02/04 - 2016/05/24 Architectural Aspects of Sensing Applications for Vehicular Networks: from Data Collection to Data Model Management
Supervisor
 doutoramento em telecomunicações (PhD)
Universidade do Porto Faculdade de Engenharia, Portugal

Universidade de Aveiro, Portugal

Universidade do Minho, Portugal

Universidade do Porto Faculdade de Ciências, Portugal
2015 - 2016/03/30 TakeAPeek Learning: Chaining classifiers for multiple regression
Supervisor
 Engenharia Informática e Computação (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2015 - 2016/03/17 ATOMRS: uma ferramenta para monitorizar o desempenho de sistemas de recomendação
Supervisor
 Engenharia Electrotécnica e de Computadores (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2014 - 2015/10/30 Deteção de Fraude em Telecomunicações com Técnicas de Data Mining e Análise de Redes Sociais
Supervisor
 Engenharia Electrotécnica e de Computadores (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2014 - 2015/10/07 Aprendizagem Automática de Padrões de Negociação em Sistemas Multi-Agente
Supervisor
 Engenharia Electrotécnica e de Computadores (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2014 - 2015/09/30 Performance management analytics for the automotive industry
Supervisor
 Engenharia Informática e Computação (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2014 - 2015/07/21 TweeProfiles4: a weighted multidimensional stream clustering algorithm
Supervisor
 Engenharia Informática e Computação (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2014 - 2015/07/21 1X2 – Previsão de Resultados de Jogos de Futebol
Supervisor
 Engenharia Informática e Computação (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2014 - 2015/07/21 Gestão de descarregamentos: Um estudo empírico de várias abordagens baseadas em regressão
Supervisor
 Engenharia Electrotécnica e de Computadores (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2014 - 2015/07/20 Never Ending Language metaLearning: model management for CMU´s ReadTheWeb project
Supervisor
 Engenharia Informática e Computação (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2014 - 2015/03/19 TweeProfiles3: Visualização de Padrões Espácio-Temporais no Twiter
Supervisor
 Engenharia Electrotécnica e de Computadores (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2013 - 2014/12/31 WindDesign
Supervisor
 Engenharia Informática e Computação (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2013 - 2014/11/20 Optimizing Operating Theater Planning - A Data Mining And Optimization Appoach
Supervisor
 Análise de Dados e Sistemas de Apoio à Decisão (Master)
Universidade do Porto Faculdade de Economia, Portugal
2013 - 2014/09/12 Árvores de Decisão Desequilibradas para deteção de erros em transações de comércio externo usando técnicas de data mining
Supervisor
 Engenharia Informática e Computação (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2013 - 2014/09/05 Data Mining Teams: Plataforma Colaborativa para Projetos de Data Mining
Supervisor
 Engenharia Informática e Computação (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2013 - 2014/07/25 Deteção de fraude em telecomunicações com técnicas de Data Mining
Supervisor
 Engenharia Electrotécnica e de Computadores (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2013 - 2014/07/14 Agile Data Mining: uma metodologia ágil para o desenvolvimento de projetos de data mining
Supervisor
 Engenharia Informática e Computação (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2013 - 2014/07/14 Never Ending Language metaLearning: model management for CMU´s ReadTheWeb project
Supervisor
 Engenharia Informática e Computação (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2013 - 2014/03/27 Data Mining 4 Dummies: A Web application for automatic selection of data mining algorithms for new problems
Supervisor
 Engenharia Informática e Computação (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2013 - 2014/03/21 retweetpatterns: deteção de padrões espácio-temporais de retweets
Supervisor
 Engenharia Informática e Computação (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2013 - 2014/02/14 fashion analytics: extração de conhecimento em sistemas de gestão de bases de dados para análise de dados da indústria têxtil
Supervisor
 Engenharia Informática e Computação (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2013 - 2014/02/14 politicanalytics: social media analytics for political data science
Supervisor
 Engenharia Informática e Computação (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2012 - 2013/11/19 Uso de Ferramentas de Data Mining para a Deteção de Erros em Transações do Comércio Externo
Supervisor
 Engenharia Informática e Computação (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2009 - 2013 Meta-aprendizado Aplicado a Fluxos Contínuos de Dado
Co-supervisor
 ciências da computação e matemática computacional (PhD)
Universidade de São Paulo Instituto de Ciências Matemáticas e de Computação, Brazil
2009 - 2012 Uso de meta-aprendizado na recomendação de meta-heurísticas para o problema do caixeiro viajante
Co-supervisor
 ciências de computação e matemática computacional (PhD)
Universidade de São Paulo Instituto de Ciências Matemáticas e de Computação, Brazil
2007 - 2010 Exploiting Multidimensional Data for Web Site Automation
Co-supervisor
 Ciência de Computadores (PhD)
Universidade do Porto Faculdade de Ciências, Portugal
2005 - 2010 Meta-apredizagem Aplicada à Classificação de Dados de Expressão Gênica
Co-supervisor
 ciências de computação e matemática computacional (PhD)
Universidade de São Paulo Instituto de Ciências Matemáticas e de Computação, Brazil

Association member

Society Organization name Role
2008/01 - Current The Laboratory of Artificial Intelligence and Decision Support
2005/09 - Current Cognitive Sciences Laboratory
Current Special Interest Group on Knowledge Discovery in Databases of the Association for Computing Machinery
Current Associação Portuguesa Para a Inteligência Artificial
Current Associação Portuguesa de Classificação e Análise de Dados
Current Ordem dos Engenheiros de Portugal