???global.info.a_carregar???
Rita P. Ribeiro is an Assistant Professor at the Department of Computer Science at the Faculty of Sciences of the University of Porto (FCUP) and a Senior Researcher at the Laboratory of Artificial Intelligence and Decision Support (LIAAD) at the Institute of Systems Engineering and Computing, Technology and Science (INESCTEC). Her main research interests focus on learning problems in imbalanced domains, anomaly detection, evaluation issues in learning tasks and application problems related to social good and environmental impact. She has been involved in several research projects involving ecological problems, fraud detection and predictive maintenance applications. She is a member of the program committee of several international conferences, serves as an action editor and reviewer for several international journals, and has been involved in the organization of various scientific events.
Read full resume ↓
Identification

Personal identification

Full name
Rita Paula Almeida Ribeiro

Citation names

  • Ribeiro, Rita
  • Rita P. Ribeiro

Author identifiers

Ciência ID
5512-9B50-1CAB
ORCID iD
0000-0002-6852-8077
AuthenticusID
R-000-FJQ
Google Scholar ID
https://scholar.google.com/citations?user=ptDBgpkAAAAJ&hl=en&oi=ao
Researcher Id
K-4293-2013
Scopus Author Id
7202534681

Email addresses

  • rpribeiro@fc.up.pt (Professional)

Addresses

  • Faculdade de Ciências da Universidade do Porto, Rua do Campo Alegre, 1021/1055, 4169-007, PORTO, Porto, Portugal (Professional)

Knowledge fields

  • Exact Sciences - Computer and Information Sciences - Computer Sciences

Languages

Language Speaking Reading Writing Listening Peer-review
English Intermediate (B1) Advanced (C1) Intermediate (B1) Intermediate (B1)
French Beginner (A1) Intermediate (B1) Beginner (A1) Beginner (A1)
Spanish; Castilian Beginner (A1) Intermediate (B1) Beginner (A1)
Norwegian Beginner (A1)
Education
Degree Classification
2011/09/29
Concluded
 Ciência de Computadores (Doutoramento)
Major in Sem especialidade
Universidade do Porto Faculdade de Ciências, Portugal
"Utility-based Regression" (THESIS/DISSERTATION)
2004
Concluded
 Inteligência Artificial e Computação (Mestrado)
Universidade do Porto Faculdade de Economia, Portugal
"Previsão de Fenómenos Raros" (THESIS/DISSERTATION)
 Very Good
2001
Concluded
 Ciência de Computadores (Licenciatura)
Universidade do Porto Faculdade de Ciências, Portugal
"n/a" (THESIS/DISSERTATION)
 16 (out of 20)
Affiliation

Science

Category
Host institution 		Employer
2007/01/01 - Current Researcher (Research) Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal

Teaching in Higher Education

Category
Host institution 		Employer
2016/04/01 - Current Assistant Professor (University Teacher) Universidade do Porto Faculdade de Ciências, Portugal
2016 - 2019 Assistant Professor (University Teacher) Universidade do Porto, Portugal
2012 - 2016 Invited Assistant Professor (University Teacher) Universidade do Porto Faculdade de Ciências, Portugal
2011 - 2012 Invited Assistant (Polytechnic Teacher) Instituto Politécnico do Porto, Portugal
2003 - 2006 Tutor (University Teacher) Universidade do Porto Faculdade de Ciências, Portugal
Projects

Grant

Designation Funders
2023/09 - 2027/02 AIBOOST - Artificial intelligence for better opportunities and scientific progress towards trustworthy and human-centric digital environment
101135737
Researcher
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
 Horizon 2020
Ongoing
2022/09/01 - 2025/07/01 EMERITUS - Environmental crimes’ intelligence and investigation protocol based on multiple data sources
101073874
Researcher
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
 European Union's Research and Innovation
Ongoing
2023/03/01 - 2024/08/31 EMPA - Emotional Modulation in Pain Assessment
2022.05005.PTDC
Researcher
Universidade de Aveiro, Portugal

Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Fundação para a Ciência e a Tecnologia
Ongoing
2020/09 - 2024/08 HumanE-AI-Net: Making artificial intelligence human-centric
952026
Researcher
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
 Horizon 2020
Ongoing
2021/03 - 2024/02 XPM: eXplainable Predictive Maintenance
CHIST-ERA-19-XAI-012
Researcher
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
 CHIST-ERA
Concluded

Contract

Designation Funders
2021/01/01 - 2025/12/31 INESC TEC - Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência (INESC TEC)
LA/P/0063/2020
10.54499/LA/P/0063/2020
168195UID
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
 Fundação para a Ciência e a Tecnologia
Ongoing
2019 - 2022 Safe Cities - Inovação para Construir Cidades Seguras
POCI-01-0247-FEDER-041435
Researcher
Universidade do Porto Faculdade de Ciências, Portugal
Ongoing
2018/12/01 - 2020/11/30 Deteção precoce de avarias de veículos de transporte público em ambiente operacional
DSAIPA/DS/0086/2018
Principal investigator
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
 Fundação para a Ciência e a Tecnologia
Ongoing
2019/01 - 2019/12 INESC TEC ¿ INESC Tecnologia e Ciência
154759UID
UID/EEA/50014/2019
Instituto de Engenharia de Sistemas e Computadores, Portugal

Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Fundação para a Ciência e a Tecnologia
Concluded
2015/06/01 - 2018/12/31 Fotocatalisadores baseados em grafeno e semicondutores para um sistema de abastecimento de água sustentável e seguro: uma tecnologia avançada para a remoção de poluentes emergentes
UTAP-ICDT/CTM-NAN/0025/2014
Researcher
Rede de Química e Tecnologia Laboratório Associado para a Química Verde, Portugal

Instituto de Engenharia de Sistemas e Computadores, Portugal

Universidade de Aveiro, Portugal
Fundação para a Ciência e a Tecnologia
Concluded
2015/06/01 - 2018/12/31 Graphene-based semiconductor photocatalysis for a safe and sustainable water supply: an advanced technology for emerging pollutants removal
UTAP-ICDT/CTM-NAN/0025/2014
Instituto de Engenharia de Sistemas e Computadores, Portugal

Universidade de Aveiro CICECO, Portugal

Rede de Química e Tecnologia Laboratório Associado para a Química Verde, 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
Master Student Fellow
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
2010 - 2011 Monitorização e Previsão de Parâmetros de Qualidade da Água.
PTDC/EIA/68489/2006
Master Student Fellow
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Concluded
2004 - 2006 Modelos de Previsão de Concentração de Algas no Rio Douro
POSI/SRI/40949/2001
Research Fellow
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Concluded
Outputs

Publications

Book chapter
  1. Emanuel Sousa Tomé; Rita P. Ribeiro; Bruno Veloso; João Gama. "An Online Data-Driven Predictive Maintenance Approach for Railway Switches". 2023.
    10.1007/978-3-031-23633-4_27
  2. Rita P. Ribeiro; Saulo Martiello Mastelini; Narjes Davari; Ehsan Aminian; Bruno Veloso; João Gama. "Online Anomaly Explanation: A Case Study on Predictive Maintenance". 2023.
    10.1007/978-3-031-23633-4_25
  3. Narjes Davari; Bruno Veloso; Rita P. Ribeiro; João Gama. "Fault Forecasting Using Data-Driven Modeling: A Case Study for Metro do Porto Data Set". 2023.
    10.1007/978-3-031-23633-4_26
  4. Nirbhaya Shaji; Thiago Andrade; Rita P. Ribeiro; João Gama. "Study on Correlation Between Vehicle Emissions and Air Quality in Porto". 2023.
    10.1007/978-3-031-23618-1_12
  5. Andrade, Thiago; Shaji, Nirbhaya; Rita P. Ribeiro; Gama, João. "Pollution Emission Patterns of Transportation in Porto, Portugal through Network Analysis". Springer, 2023.
    In press
  6. Rodrigo Salles; Jérôme Mendes; Rita P. Ribeiro; João Gama. "Fault Detection in Wastewater Treatment Plants: Application of Autoencoders Models with Streaming Data". 2023.
    10.1007/978-3-031-23618-1_4
  7. Thiago Andrade; Nirbhaya Shaji; Rita P. Ribeiro; João Gama. "Pollution Emission Patterns of Transportation in Porto, Portugal Through Network Analysis". 2023.
    10.1007/978-3-031-49008-8_17
  8. Nirbhaya Shaji; João Gama; Rita P. Ribeiro; Pedro Gomes. "Bank Statements to Network Features: Extracting Features Out of Time Series Using Visibility Graph". 278-289. Springer International Publishing, 2022.
    10.1007/978-3-031-01333-1_22
  9. João Gama; Bruno Veloso; Ehsan Aminian; Rita P. Ribeiro. "Current Trends in Learning from Data Streams". 2021.
    10.1007/978-3-030-93620-4_14
  10. Aminian, E; Ribeiro, RP; Gama, J. "A Study on Imbalanced Data Streams". 2020.
    10.1007/978-3-030-43887-6_31
  11. Mariana Barros; Bruno Veloso; Pedro M. Pereira; Rita P. Ribeiro; João Gama. "Failure Detection of an Air Production Unit in Operational Context". 2020.
    10.1007/978-3-030-66770-2_5
  12. Andrade, T; Gama, J; Ribeiro, RP; Sousa, W; Carvalho, A. "Anomaly Detection in Sequential Data: Principles and Case Studies". 2019.
    10.1002/047134608x.w8382
Conference paper
  1. Joao Gama; Slawomir Nowaczyk; Sepideh Pashami; Rita P. Ribeiro; Grzegorz J. Nalepa; Bruno Veloso. "XAI for Predictive Maintenance". 2023.
    10.1145/3580305.3599578
  2. Soares, N; Goncalves, JF; Vasconcelos, R; Ribeiro, RP. "Combining Multiple Data Sources to Predict IUCN Conservation Status of Reptiles". 2022.
    10.1007/978-3-031-01333-1_24
  3. Jesus, SM; Pombal, J; Alves, D; Cruz, AF; Saleiro, P; Ribeiro, RP; Gama, J; Bizarro, P. "Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation". 2022.
  4. Silva, A; Ribeiro, RP; Moniz, N. "Model Optimization in Imbalanced Regression". 2022.
    10.1007/978-3-031-18840-4_1
  5. Davari, N; Pashami, S; Veloso, B; Fan, YT; Pereira, PM; Ribeiro, RP; Gama, J; Nowaczyk, S. "A Fault Detection Framework Based on LSTM Autoencoder: A Case Study for Volvo Bus Data Set". 2022.
    10.1007/978-3-031-01333-1_4
  6. Davari, N; Veloso, B; Ribeiro, RP; Pereira, PM; Gama, J. "Predictive maintenance based on anomaly detection using deep learning for air production unit in the railway industry". 2021.
    10.1109/dsaa53316.2021.9564181
  7. Teixeira, S; Londres, G; Veloso, B; Ribeiro, RP; Gama, J. "Improving Smart Waste Collection Using AutoML". 2021.
    10.1007/978-3-030-93733-1_20
  8. Vasconcelos, PB; Ribeiro, RP. "Using Property-Based Testing to Generate Feedback for C Programming Exercises". 2020.
    10.4230/OASIcs.ICPEC.2020.28
  9. Branco, P; Torgo, L; Ribeiro, RP. "REBAGG: REsampled BAGGing for Imbalanced Regression". 2018.
  10. Branco, P; Torgo, L; Ribeiro, RP. "MetaUtil: Meta Learning for Utility Maximization in Regression". 2018.
    10.1007/978-3-030-01771-2_9
  11. Moniz, N; Ribeiro, RP; Cerqueira, V; Chawla, N. "SMOTEBoost for Regression: Improving the Prediction of Extreme Values". 2018.
    10.1109/dsaa.2018.00025
  12. Branco, P; Torgo, L; Ribeiro, RP. "Exploring Resampling with Neighborhood Bias on Imbalanced Regression Problems". 2017.
    10.1007/978-3-319-65340-2_42
  13. Branco, Paula; Torgo, Luis; Ribeiro, RitaP.. "Relevance-Based Evaluation Metrics for Multi-class Imbalanced Domains". 2017.
    10.1007/978-3-319-57454-7_54
  14. Branco, P; Torgo, L; Ribeiro, RP; Frank, E; Pfahringer, B; Rau, MM. "Learning Through Utility Optimization in Regression Tasks". 2017.
    10.1109/dsaa.2017.63
  15. Branco, P; Torgo, L; Ribeiro, RP. "SMOGN: a Pre-processing Approach for Imbalanced Regression". 2017.
  16. Sayed-Mouchaweh, M.; Bouchachia, H.; Gama, J.; Ribeiro, R.P.. "Preface". 2017.
  17. Sayed-Mouchaweh, M.; Bifet, A.; Bouchachia, H.; Gama, J.; Ribeiro, R.P.. "Preface". 2017.
  18. Portela, E; Ribeiro, RP; Gama, J. "Outliers and the Simpson's Paradox". 2017.
    10.1007/978-3-030-02837-4_22
  19. Ribeiro, RP; Oliveira, R; Gama, J. "Detection of Fraud Symptoms in the Retail Industry". 2016.
    10.1007/978-3-319-47955-2_16
  20. Almeida, V; Ribeiro, R; Gama, J. "Hierarchical time series forecast in electrical grids". 2016.
    10.1007/978-981-10-0557-2_95
  21. Silva, AM; Ribeiro, RP; Gama, J. "An Experimental Study on Predictive Models Using Hierarchical Time Series". 2015.
    10.1007/978-3-319-23485-4_50
  22. Ribeiro, Rita. "Failure Prediction - An Application in the Railway Industry". 2014.
    10.1007/978-3-319-11812-3_23
  23. Ribeiro, R.P.. "Towards utility maximization in regression". 2012.
    10.1109/ICDMW.2012.82
Edited book
  1. Koprinska, I; Mignone, P; Guidotti, R; Jaroszewicz, S; Fröning, H; Gullo, F; Ferreira, PM; et al. Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II. 2023.
  2. Koprinska, I; Mignone, P; Guidotti, R; Jaroszewicz, S; Fröning, H; Gullo, F; Ferreira, PM; et al. Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I. 2023.
  3. Rita P. Ribeiro. Discovery Science - 26th International Conference, DS 2023, Porto, Portugal, October 9–11, 2023, Proceedings. Springer Nature Switzerland. 2023.
    Published • 10.1007/978-3-031-45275-8 • Editor
  4. Kamp, M; Koprinska, I; Bibal, A; Bouadi, T; Frénay, B; Galárraga, L; Oramas, J; et al. Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I. 2021.
  5. Kamp, M; Koprinska, I; Bibal, A; Bouadi, T; Frénay, B; Galárraga, L; Oramas, J; et al. Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II. 2021.
  6. Koprinska, I; Kamp, M; Appice, A; Loglisci, C; Antonie, L; Zimmermann, A; Guidotti, R; et al. ECML PKDD 2020 Workshops - Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): SoGood 2020, PDFL 2020, MLCS 2020, NFMCP 2020, DINA 2020, EDML 2020, XKDD 2020 and INRA 2020, Ghent, Belgium, September 14-18, 2020, Proceedings. 2020.
  7. Monreale, A; Alzate, C; Kamp, M; Krishnamurthy, Y; Paurat, D; Mouchaweh, MS; Bifet, A; Gama, J; Ribeiro, RP. ECML PKDD 2018 Workshops - DMLE 2018 and IoTStream 2018, Dublin, Ireland, September 10-14, 2018, Revised Selected Papers. 2019.
  8. Mouchaweh, MS; Bouchachia, H; Gama, J; Ribeiro, RP. Proceedings of the Workshop on Large-scale Learning from Data Streams in Evolving Environments (STREAMEVOLV 2016) co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2016), Riva del Garda, Italy, September 23, 2016. 2018.
  9. Mouchaweh, MS; Bifet, A; Bouchachia, H; Gama, J; Ribeiro, RP. Proceedings of the Workshop on IoT Large Scale Learning from Data Streams co-located with the 2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2017), Skopje, Macedonia, September 18-22, 2017. 2017.
Journal article
  1. Mariana Vaz; Teresa Summavielle; Raquel Sebastião; Rita P. Ribeiro. "Multimodal Classification of Anxiety Based on Physiological Signals". Applied Sciences (2023): https://doi.org/10.3390/app13116368.
    10.3390/app13116368
  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. Bruno Veloso; Rita P. Ribeiro; João Gama; Pedro Mota Pereira. "The MetroPT dataset for predictive maintenance". Scientific Data (2022): https://doi.org/10.1038/s41597-022-01877-3.
    10.1038/s41597-022-01877-3
  4. Silva, A; Ribeiro, RP; Moniz, N. "Model Optimization in Imbalanced Regression". CoRR (2022):
  5. Gama, J; Ribeiro, RP; Veloso, B. "Data-Driven Predictive Maintenance". IEEE INTELLIGENT SYSTEMS (2022):
    10.1109/mis.2022.3167561
  6. Veloso, B; Gama, J; Ribeiro, RP; Pereira, PM. "A Benchmark dataset for predictive maintenance". CoRR (2022):
  7. Narjes Davari; Bruno Veloso; Gustavo Costa; Pedro Mota Pereira; Rita P. Ribeiro; Joao Gama. "A Survey on Data-Driven Predictive Maintenance for the Railway Industry". Sensors (2021): https://www.mdpi.com/1424-8220/21/17/5739.
    10.3390/s21175739
  8. Aminian, E; Ribeiro, RP; Gama, J. "Chebyshev approaches for imbalanced data streams regression models". DATA MINING AND KNOWLEDGE DISCOVERY (2021):
    10.1007/s10618-021-00793-1
  9. Ribeiro, RP; Moniz, N. "Imbalanced regression and extreme value prediction". MACHINE LEARNING (2020):
    10.1007/s10994-020-05900-9
  10. Branco, P; Torgo, L; Ribeiro, RP. "Pre-processing approaches for imbalanced distributions in regression". NEUROCOMPUTING (2019):
    10.1016/j.neucom.2018.11.100
  11. Portel, E; Ribeire, RP; Gama, J. "The search of conditional outliers". INTELLIGENT DATA ANALYSIS (2019):
    10.3233/ida-173619
  12. Branco, P; Torgo, L; Ribeiro, RP. "Resampling with neighbourhood bias on imbalanced domains". EXPERT SYSTEMS (2018):
    10.1111/exsy.12311
  13. Branco, P; Torgo, L; Ribeiro, RP. "A Survey of Predictive Modeling on Im balanced Domains". ACM COMPUTING SURVEYS (2016):
    10.1145/2907070
  14. Ribeiro, RP; Pereira, P; Gama, J. "Sequential anomalies: a study in the Railway Industry". MACHINE LEARNING (2016):
    10.1007/s10994-016-5584-6
  15. Torgo, L; Branco, P; Ribeiro, RP; Pfahringer, B. "Resampling strategies for regression". EXPERT SYSTEMS (2015):
    10.1111/exsy.12081
  16. Torgo, L.; Ribeiro, R.P.; Pfahringer, B.; Branco, P.. "SMOTE for regression". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 8154 LNAI (2013): 378-389. http://www.scopus.com/inward/record.url?eid=2-s2.0-84884720472&partnerID=MN8TOARS.
    10.1007/978-3-642-40669-0_33
  17. Ohashi, O.; Torgo, L.; Ribeiro, R.P.. "Interval forecast of water quality parameters". Frontiers in Artificial Intelligence and Applications 215 (2010): 283-288. http://www.scopus.com/inward/record.url?eid=2-s2.0-77956015651&partnerID=MN8TOARS.
    10.3233/978-1-60750-606-5-283
  18. Torgo, L.; Ribeiro, R.. "Precision and recall for regression". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5808 LNAI (2009): 332-346. http://www.scopus.com/inward/record.url?eid=2-s2.0-71049163075&partnerID=MN8TOARS.
    10.1007/978-3-642-04747-3_26
  19. Ribeiro, R; Torgo, L. "A comparative study on predicting algae blooms in Douro River, Portugal". ECOLOGICAL MODELLING (2008):
    10.1016/j.ecolmodel.2007.10.018
  20. Torgo, L.; Ribeiro, R.. "Utility-based regression". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 4702 LNAI (2007): 597-604. http://www.scopus.com/inward/record.url?eid=2-s2.0-38049132702&partnerID=MN8TOARS.
    10.1007/978-3-540-74976-9_63
  21. Ribeiro, R.; Torgo, L.. "Rule-based prediction of rare extreme values". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 4265 LNAI (2006): 219-230. http://www.scopus.com/inward/record.url?eid=2-s2.0-33750714115&partnerID=MN8TOARS.
    10.1007/11893318_23
  22. Torgo, L.; Ribeiro, R.. "Predicting rare extreme values". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3918 LNAI (2006): 816-820. http://www.scopus.com/inward/record.url?eid=2-s2.0-33745777414&partnerID=MN8TOARS.
    10.1007/11731139_95
  23. Torgo, L.; Ribeiro, R.. "Predicting outliers". Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) 2838 (2003): 447-458. http://www.scopus.com/inward/record.url?eid=2-s2.0-9444228878&partnerID=MN8TOARS.
    10.1007/978-3-540-39804-2_40
  24. Ribeiro, R.; Torgo, L.. "Predicting harmful algae blooms". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2902 (2003): 308-312. http://www.scopus.com/inward/record.url?eid=2-s2.0-0346955746&partnerID=MN8TOARS.
    10.1007/978-3-540-24580-3_36
Magazine article
  1. Rita P. Ribeiro; Moniz, Nuno. "Avaliação de Modelos de Regressão para a Previsão de Valores Extremos", Boletim da Sociedade Portuguesa de Estatística - Machine Learning e Inteligência Artificial, 2021, https://www.spestatistica.pt/publicacoes/categoria/boletim-da-spe.

Other

Other output
  1. IRon - An R Package for Solving Imbalanced Regression Tasks (R Package). 2020. Moniz, Nuno; Rita P. Ribeiro. https://github.com/nunompmoniz/IRon.
  2. UBL: an R package for Utility-based Learning. 2016. Branco, P; Ribeiro, RP; Torgo, L.
  3. A Survey of Predictive Modelling under Imbalanced Distributions. 2015. Branco, Paula; Torgo, Luis; Ribeiro, RitaP..
Activities

Oral presentation

Presentation title Event name
Host (Event location)
2024/01 Online Anomaly Detection: A Case Study in Predictive Maintenance 2nd Machine Teaching for Humans (MT4H) International workshop
Universidad Politecnica de Valencia (Valencia, Spain)
2024/01 Online Anomaly Detection: a Case Study in Metro do Porto Artificial Intelligence in Research and Applications Seminar (AIRA)
Jagiellonian University (Krakow, Poland)
2024/01 Beyond Imbalanced Classification: Tackling the Challenges of Imbalanced Regression Mark Kac Center for Complex Systems Research
Jagiellonian University (Krakow, Poland)
2023/10 Data-driven Predictive Maintenance: Challenges and Opportunities Data Makers Fest
(Porto, Portugal)
2023/09 Beyond Imbalanced Classification: Tackling the Challenges of Imbalanced Regression LIDTA23: 5th International Workshop on Learning with Imbalanced Domains: Theory and Applications
ECML/PKDD 2023 (Turim, Italy)
2022 Imbalanced Regression and Extreme Value Prediction Data, Intelligence & Graphs (DIG) Seminar¿
Télécom Paris (Paris, France)
2022 Data-driven Predictive Maintenance: Concepts, Challenges and Current Trends Tutorial
Polytechnique Paris - Télécom Paris (Paris, France)
2020/10 Short Course on Data Science Altice Labs - Aveiro
2020/09 Imbalance Domain Learning and Rare Events Detection: Principles Tutorial LIDTA 2020 - Learning with Imbalanced Domains and Rare Event Detection - ECMLPKDD 2020
2020/02 Predictive Maintenance in the Railway Industry Seminar
Halmstad University (Halmstad, Sweden)
2019/04 Predictive Maintenance: Problem, Challenges and Case Studies Data Science Workshop - Imperial College London
2019/02 Predictive Maintenance: Problem, Challenges and Case Study Seminar IEETA
IEETA - Universidade de Aveiro
2018/12 Detection of Outliers for the Inspection of Potential Fraud Cases Machine Learning and Big Data: basic concepts and applications - Banco de Portugal
2018/09 Online Learning for Predictive Maintenance EES-UETP: Electric Energy Systems - University Enterprise Training Partnership Advanced Data Analytics for Energy Systems
2018/09 Predictive Maintenance Tutorial IoT - Large Scale Learning from Data Streams - ECML PKDD 2018
2018/07 Learning from Data Streams for Predictive Maintenance EAIA 2018: Advanced School on Data Science for Big Data
2016/09 Novelty Detection in Data Streams Tutorial Large- scale Learning from Data Streams in Evolving Environments - ECMLPKDD 2016
2015/06 Sequential Anomalies: An Application in the Railway Industry. LIAAD Seminars
2006/10 Rule-based Prediction of Rare Extreme Values - Best Student Paper Session 9th International Conference on Discovery Science, DS 2006
2006 Rule-based Prediction of Rare Extreme Values. LIAAD Seminars
2005/09 A Comparative Study on Predicting Algae Blooms in River Douro, Portugal. LIAAD Seminars

Supervision

Thesis Title
Role 		Degree Subject (Type)
Institution / Organization
2023 - Current Tackling Real-World Challenges with Imbalanced Regression: An Empirical Analysis.
Supervisor
 Ciência de Computadores (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2023 - Current Detection of Illegal Pollutant Discharges: A Machine Learning-Based Approach.
Supervisor
 Ciência de Dados (Data Science) (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2023 - Current Outlier Explanations in Data Streams – Application for Environmental Crimes Detection.
Supervisor
 Ciência de Dados (Data Science) (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2023 - Current Machine Learning for Automatic Answering of Taxi Request Phone Calls.
Co-supervisor
 Ciência de Computadores (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2023 - Current Using xAI Methodologies to Explain Network Anomalies.
Supervisor
 Segurança Informática (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2023 - Current A Study on Predictive Maintenance through Remaining Useful Life Prediction.
Supervisor
 Ciência de Computadores (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2023 - Current Explainability of Rare Events.
Co-supervisor
 Modelação, Análise de Dados e Sistemas de Apoio à Decisão (Master)
Universidade do Porto Faculdade de Economia, Portugal
2022 - Current Clustering in massive, noisy, and unstructured textual streams
Co-supervisor
 Informática (PhD)
Universidade do Porto Faculdade de Ciências, Portugal
2021/03 - Current Fake Behaviour Detection in Dynamic Social Networks
Co-supervisor
 Ciência de Computadores (PhD)
Universidade do Porto Faculdade de Ciências, Portugal
2020/10 - Current Assessing Fairness, Explainability and Robustness of AI Systems
Co-supervisor
 Ciência de Computadores (PhD)
Universidade do Porto Faculdade de Ciências, Portugal
2019/01 - Current Learning from Imbalanced Data Streams
Co-supervisor
 Programa Doutoral Informática MAP-i (PhD)
Universidade do Porto, Portugal
2022 - 2023 A Machine Learning Approach for Predicting Claims Reserving
Supervisor
 Ciência de Dados (Data Science) (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2022 - 2023 Applying Machine Learning to Intelligent Chatbot for Preventive Care
Co-supervisor
 Ciência de Computadores (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2022 - 2023 Anomaly Detection in Pet Behavioural Data
Co-supervisor
 Modelação, Análise de Dados e Sistemas de Apoio à Decisão (Master)
Universidade do Porto Faculdade de Economia, Portugal
2021 - 2022 Data-driven Predictive Maintenance for Industry 4.0
Supervisor
 Ciência de Dados (Data Science) (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2021 - 2022 Feature Selection in Imbalance Domain Learning Problems: A Case Study on Scrapping of Tires
Supervisor
 Ciência de Dados (Data Science) (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2021 - 2022 Boosting the Prediction of Extreme Values
Supervisor
 Ciência de Computadores (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2021 - 2022 National Data Cube of satellite Earth Observation data for biodiversity modeling and monitoring
Co-supervisor
 Bioinformática e Biologia Computacional (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2021 - 2022 Fault detection in wastewater treatment plants – Applications and comparison of machine learning techniques with streaming data
Co-supervisor
 Ciência de Dados (Data Science) (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2021 - 2022 Spatio-temporal clustering to study vehicle emissions and air quality correlation at Porto
Co-supervisor
 Ciência de Dados (Data Science) (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2020/10 - 2022 Mining physiological signals for characterizing mental disorders influences
Co-supervisor
 Mestrado em Bioinformática e Biologia Computacional (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2020/10 - 2021/12 Time Series Analysis of Porto Meteorological Data
Supervisor
 Mestrado Integrado em Engenharia de Redes e Sistemas Informáticos (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2020 - 2021 Predicting IUCN conservation status through machine learning: a case study on reptiles
Supervisor
 Ciência de Dados (Data Science) (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2019/10 - 2020/12 Data Mining study on data collected in Arctic Oceanographic Campaigns
Supervisor
 Engenharia de Redes e Sistemas Informáticos (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2019/09 - 2020/12 Exploratory Analysis of Meteorological Data
Supervisor
 Engenharia de Redes e Sistemas Informáticos (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2019/10 - 2020/11 Predictive Maintenance for Air Production Unit in EuroTram Vehicles
Co-supervisor
 Modelação, Análise de Dados e Sistemas de Apoio à Decisão (Master)
Universidade do Porto Faculdade de Economia, Portugal
2019/09 - 2020/11 Anticipation of Perturbances in Telco Services
Supervisor
 Engenharia de Redes e Sistemas Informáticos (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2018/10 - 2019/11 Forecasting Water Pollutants
Supervisor
 Ciência de Computadores (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2018/10 - 2019/11 Early Detection of Billing Errors in Telco Services
Co-supervisor
 Engenharia de Redes e Sistemas Informáticos (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2018/10 - 2019 Payment Default Prediction in Telco Services
Co-supervisor
 Ciência de Computadores (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2014/09 - 2018/09 Utility-based Predictive Analytics.
Co-supervisor
 Programa Doutoral Informática MAP-i (PhD)
Universidade do Porto Faculdade de Ciências, Portugal
2018 - 2018 Exploring the potential of Earth Observation time series to detect mangrove diebacks: a case study from the Gulf of Carpentaria (Australia)
Co-supervisor
 Bioinformática e Biologia Computacional (Other)
Universidade do Porto Faculdade de Ciências, Portugal
2018 - 2018 Spatial Data Visualization of Microbiome Megasequencing Initiatives
Co-supervisor
 Bioinformática e Biologia Computacional (Other)
Universidade do Porto Faculdade de Ciências, Portugal
2016/09 - 2017/11 Análise de variação de consumos de instalações não telecontadas
Co-supervisor
 Modelação, Análise de Dados e Sistemas de Apoio à Decisão (Master)
Universidade do Porto Faculdade de Economia, Portugal
2015/10 - 2017/11 Previsão na Indústria Química
Co-supervisor
 Modelação, Análise de Dados e Sistemas de Apoio à Decisão (Master)
Universidade do Porto Faculdade de Economia, Portugal
2015/10 - 2016/11 Deteção de alterações nos padrões de consumo de energia em instalações de média tensão
Supervisor
 Mestrado em Modelação, Análise de Dados e Sistemas de Apoio à Decisão (Master)
Universidade do Porto Faculdade de Economia, Portugal
2015/10 - 2016/11 Modelo de Séries Temporais Hierárquicas de Previsão de Vendas Aplicado à Indústria do Calçado
Co-supervisor
 Modelação, Análise de Dados e Sistemas de Apoio à Decisão (Master)
Universidade do Porto Faculdade de Economia, Portugal
2015/09 - 2016/11 Aplicação de prescrição eletrónica de medicamentos para dispositivos móveis
Supervisor
 Engenharia de Redes e Sistemas Informáticos (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2014/09 - 2015/11 Depression Signs Detection through Smartphone Usage Data Analysis
Supervisor
 Engenharia de Redes e Sistemas Informáticos (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2014/09 - 2015/11 Deteção de Indícios de Fraude na Indústria do Retalho
Co-supervisor
 Modelação, Análise de Dados e Sistemas de Apoio à Decisão (Master)
Universidade do Porto Faculdade de Economia, Portugal
2014/09 - 2015/06 Modelos Preditivos Aplicados ao Retalho
Co-supervisor
 Modelação, Análise de Dados e Sistemas de Apoio à Decisão (Master)
Universidade do Porto Faculdade de Economia, Portugal
2013/09 - 2014/11 Failure Prediction - An Application in the Railway Industry
Co-supervisor
 Modelação, Análise de Dados e Sistemas de Apoio à Decisão (Master)
Universidade do Porto Faculdade de Economia, Portugal
2013/09 - 2014/09 Re-sampling Approaches for Regression Tasks under Imbalanced Domains
Co-supervisor
 Ciência de Computadores (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2013/10 - 2014/07 Árvores de Decisão Desequilibradas para deteção de erros em transações de comércio externo usando técnicas de data mining
Co-supervisor
 Ciências de Engenharia, orientação em Engenharia Informática e Computação (Master)
Universidade do Porto Faculdade de Engenharia, Portugal

Event organisation

Event name
Type of event (Role) 		Institution / Organization
2020/09 - Current SoGood - "Workshop on Data Science for Social Good" held in conjunction with the conference ECMLPKDD 2020, 2021, 2022, 2023 (2021/09)
Workshop (Co-organisor)
 Universidade do Porto, Portugal

The University of Sydney, Australia

Universitat Politècnica de Catalunya, Spain
2024 - 2024 Special Session "Machine Learning in the Future of Healthcare" The 22nd IEEE Mediterranean Electrotechnical Conference (MELECON 2024) (2024 - 2024)
2023 - 2024 Journal Track Chair - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2024) (2023 - 2024)
Conference (Member of the Scientific Committee)
2023 - 2024 Knowledge Discovery and Business Intelligence Track EPIA Conference on Artificial Intelligence 2024 (2023 - 2024)
2023/01 - 2023 26th International Conference on Discovery Science October 9-11, 2023 | Porto, Portugal https://ds2023.inesctec.pt/ (2023/10/09 - 2023/10/11)
Conference (Member of the Scientific Committee)
 Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
2023 - 2023 Tutorial "Learning Through Physiological Signals: from sensors for data acquisition to data processing for knowledge discovery" 26th Iberoamerican Congress on Pattern Recognition (CIARP 2023) (2023 - 2023)
Other (Member of the Organising Committee)
2023 - 2023 Tutorial "XAI for Predictive Maintenance" 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023) (2023)
Other
2023 - 2023 Tutorial " XAI for Predictive Maintenance" 26th European Conference on Artificial Intelligence (ECAI 2023) (2023 - 2023)
Other
2022/12/05 - 2023 22nd EPIA Conference on Artificial Intelligence, 2023 Faial, Azores https://epia2023.inesctec.pt/ (2023/09/05 - 2023/09/08)
Conference (Member of the Organising Committee)
2022 - 2022 IoTStreams: 3rd Tutorial + Workshop IoT Streams for Predictive Maintenance (ECMLPKDD 2022) (2022 - 2022)
Workshop (Member of the Organising Committee)
2021/10 - 2021/10 Summer School on Data-Driven Predictive Maintenance for Industry 4.0 - colocated with The 8th IEEE International Conference on Data Science and Advanced Analytics. (2021/10)
Other (Co-organisor)
 Universidade do Porto, Portugal

Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal

Högskolan i Halmstad, Sweden
2021 - 2021 Tutorial Chair DSAA 2021 - The 8th IEEE International Conference on Data Science and Advanced Analytics (2021/10 - 2021/10)
Conference (Member of the Organising Committee)
 Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
2020/05 - 2021 Doctoral Consortium Chair IDA 2021 - Symposium on Intelligent Data Analysis, (2021/04 - 2021/04)
Conference (Member of the Organising Committee)
 Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
2020/03 - 2020/09 Tutorial LIDTA 2020 - “Learning with Imbalanced Domains and Rare Event Detection” held in conjunction with the conference ECMLPKDD 2020. (2020/09)
Other (Member of the Organising Committee)
 Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
2018/03 - 2018/09 Tutorial e Workshop IOTStreaming 2018 - "IoT Large Scale Machine Learning from Data Streams", realizada no âmbito da conferência ECMLPKDD 2018. (2018/09)
Workshop (Member of the Organising Committee)
 Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
2018/02 - 2018/07 EAIA 2018 - "Advanced School on Data Science for Big Data” (2018/07)
Other (Member of the Organising Committee)
 Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
2016/03 - 2016/09 Workshop e Tutorial STREAMEVOLV2016 - Workshop on Large-scale Learning from Data Streams in Evolving Environments, realizada no âmbito da conferência ECMLPKDD 2016. (2016/09)
Workshop (Member of the Organising Committee)
 Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
2014/09 - 2015/09 Organizing Committee of European Conference on Machine Learning and Principles and Practice of Knowledge Dis- covery in Databases (ECMLPKDD) 2015 (2015/09 - 2015/09)
Conference (Member of the Organising Committee)
 Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal

Event participation

Activity description
Type of event 		Event name
Institution / Organization
2024 - 2024 Inteligência Artificial: o Futuro já no Presente Café de Ciência
Centro Ciência Viva de Bragança, Portugal
2024 - 2024 Inteligência Artificial na promoção do pensamento crítico e criativo no Ensino Superior
Round table
 VI Jornadas de inovação pedagógica da FCUP
Universidade do Porto Faculdade de Ciências, Portugal
2023 - 2023 AI and the Future of Government and Society
Round table
 Portugal Digital Summit
Agência para o Investimento e Comércio Externo de Portugal EPE, Portugal
2023 - 2023 Mentor Cassini Hackathon Portugal
Other
 Cassini Hackathon Portugal
SpaceTech GmbH, Germany
2022 - 2022 Imbalanced Regression and the Prediction of Extreme Values
Seminar
 DaSSWeb: Data Science and Statistics Webinar
Universidade do Porto Faculdade de Economia, Portugal
2021 - 2022 Jury member in World Data League - The quest to find the best data scientists by solving social impact challenges. https://www.worlddataleague.com/
Other
 World Data League: 2021, 2022
2019 - 2022 Mentor in Hackacity
Other
 Hackacity
Associação Porto Digital, Portugal
2021/02 - 2021/02 Inteligência Artificial e Ética
Round table
 Encontro Académico do Programa de Pós-graduação em Ciências Computacionais (PPG-CCOMP)
Universidade do Estado do Rio de Janeiro, Brazil
2021 - 2021 "Data Science - O que é? Porquê? Para quê?"
Seminar
 Ciclo de palestras iNIGMA
Universidade do Porto Faculdade de Ciências, Portugal
2020/09 - 2020/09 Podemos salvar-nos de nós próprios? Inteligência Artificial e Conservação da Natureza
Round table
 Diversidades: Ciclo de Conversas sobre a Biodiversidade e Sustentabilidade Ambiental Galeria da Biodiversidade - Centro Ciência Viva, Museu de História Natural e da Ciência da Universidade do Porto (MHNC-UP)
Universidade do Porto, Portugal
2020/09 - 2020/09 Inteligência Artificial
Round table
 SMF Youth Talks
Câmara Municipal de Santa Maria da Feira, Portugal
2020 - 2020 Mentor Eurekathon https://www.eurekathon.com/
Other
 Eurekathon: CHALLENGING DATA FOR ZERO HUNGER
Universidade do Porto Porto Business School, Portugal
2019/09 - 2019/09 Fórum Oceano - Oportunidades de Cooperação 2030
Round table
Centro Tecnológico del Mar Fundación, Spain
2019/05 - 2019/05 Kick-off Meeting of European Marine Board Working Group on Big Data in Marine Science, Ostend, Bélgica. Working Group constituted with elements from the following countries: France, Denmark, Spain, Ireland, Italy, Norway, United Kingdom, Sweden and Portugal.
Meeting
 European Marine Board

Jury of academic degree

Topic
Role 		Candidate name (Type of degree)
Institution / Organization
2024 Multi-view and Multi-target Identification of Anomalies on Complex Data Types
(Thesis) Arguer
 Antonio Pellicani (PhD)
Università degli Studi di Bari Aldo Moro, Italy
2023 Online machine learning-based predictive maintenance for the railway industry
(Thesis) Arguer
 MINH HUONG LE NGUYEN (PhD)
Institut Polytechnique de Paris, France
2023 Causal Reasoning in Data
(Thesis) Arguer
 Ana Rita Dias Nogueira (PhD)
Universidade do Porto Faculdade de Ciências, Portugal
2023 Multidimensional Time Series Analysis: A Complex Networks Approach
(Thesis) Arguer
 Vanessa Alexandra Freitas da Silva (PhD)
Universidade do Porto Faculdade de Ciências, Portugal
2023 Device’s Fault Characterization Through Logging
(Thesis) Main arguer
 Joana Pinto (Master)
Universidade do Porto Faculdade de Economia, Portugal
2023 Detecting Outliers in Accounting Data: a Machine Learning Approach
(Thesis) Main arguer
 Ana Santos (Master)
Universidade do Porto Faculdade de Economia, Portugal
2023 Decoding U.S. Political Discourse: A Natural Language Processing Automatic Approach to Analyzing Major Politicians' Tweets
President of the jury
 Margarida Mendonça (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2023 Data markets for collaborative forecasting in the energy sector
President of the jury
 Tiago Teixeira (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2023 A Comparative Study Between Explanation Approaches for models of Increasing Complexity: A case study using Industry Data
President of the jury
 Rafael Mamede (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2023 Prediction Models for Industrial Machine Breakdowns
President of the jury
 Carlos Melo (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2023 Privacy-Preserving Face Detection: A Comprehensive Analysis of Face Anonymization Techniques
President of the jury
 Ricardo Andrade (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2023 Multimodal deep learning for heart sound and electrocardiogram classification
President of the jury
 Hélder Vieira (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2023 Recommender systems for vote prediction
President of the jury
 Rita Cardosos (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2022/02/18 Unsupervised Anomaly Detection Methods and Applications
(Thesis) Arguer
 Andrian Putina (PhD)
Institut Polytechnique de Paris, France
2022 Analysing Real Word Data
(Thesis) Arguer
 João Filipe Coutinho de Almeida (Other)
Universidade do Porto Faculdade de Medicina, Portugal
2022 Using the Electrocardiogram for Pain Classification under Emotion Elicitation
(Thesis) Main arguer
 Pedro Silva (Master)
Universidade de Aveiro, Portugal
2022 Physiological Description of Autism Spectrum Disorder Responses Driven by Olfactive Stimulation
(Thesis) Main arguer
 Lara Pereira (Master)
Universidade de Aveiro, Portugal
2022 Data Preprocessing Strategies in Cancer Stage Prediction
(Thesis) Main arguer
 Ana Maria Moreira (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2022 Forecasting for Solar Power Farms
(Thesis) Main arguer
 Tiago Pires (Master)
Universidade do Porto Faculdade de Economia, Portugal
2022 Using GANs to create synthetic datasets for fake news detection models
President of the jury
 Bruno Vaz (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2022 Finding patterns that predict hyper and hypoglycaemia
President of the jury
 Ricardo Faria (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2022 Time Series Forecasting via Network Science
President of the jury
 Filipe Justiça (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2021/11 Alterações fisiológicas em Eletrocardiogramas durante o período pós-operatório
(Thesis) Main arguer
 Daniela Filipa da Silva Pais (Master)
Universidade de Aveiro, Portugal
2021/11 Physiological Indicators for pain
(Thesis) Main arguer
 Ana Luísa Baltazar Bento (Master)
Universidade de Aveiro, Portugal
2021/11 Using deep learning to classify images of wall lizards
(Thesis) Main arguer
 Catarina Pinho (Master)
Universidade do Porto Faculdade de Economia, Portugal
2021/09 Multi-Class Classification of New Collection Products in Fashion Retail
(Thesis) Main arguer
 Ana Isabel Cruz Martins (Master)
Universidade do Porto Faculdade de Economia, Portugal
2021 Identification of Viable Dissolved Gas Analysis Subsets for Power Transformers
President of the jury
 José Pinto (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2021 Robust Quantification of Biomarkers in Drug Discovery
President of the jury
 Nuno Costa (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2021 A Predictive Analysis of Academic Success at Universidade do Porto
President of the jury
 Rafael Belokurows (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2020/12 Using Data Science to Optimize Waste Collection
(Thesis) Main arguer
 Guilherme Lopes Londres (Master)
Universidade do Porto Faculdade de Economia, Portugal
2020/12 Anomaly Detection in Cybersecurity
President of the jury
 Maria Inês Pinto Bastos Martins (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2020/11 Sistema de Recomendação em tempo real para E-commerce
(Thesis) Main arguer
 Ricardo Jorge Coelho Lima (Master)
Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto, Portugal
2020/11 Data Mining for Sensor Intelligence: Change Point Detection and Clustering
President of the jury
 Fábio Henrique da Silva Pereira (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2020/11 Detecting Abnormal Laboratory Test Results with Machine Learning
President of the jury
 Rafael José Palhares Santos (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2020/10 Credit Recovery - Final State Identification
(Thesis) Main arguer
 Cláudia Monteiro (Master)
Universidade do Porto Faculdade de Economia, Portugal
2020/07 Stress Detection for Personalized Relaxation Exercises Recommendation.
(Thesis) Main arguer
 Tiago Bernardes Almeida (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2020/07 Características fisiológicas da emoção
(Thesis) Main arguer
 Lara Isabel Faria Pereira (Other)
Universidade de Aveiro, Portugal
2020/07 Remote Sensing and Machine Learning Tools for Vegetation Monitoring
President of the jury
 Sofia Perestrelo de Vasconcelos Cardoso Pereira (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2020/02 Self-Monitoring using Joint Human-Machine Learning: Algorithms and Applications.
(Thesis) Main arguer
 Ece Calikus (PhD)
Högskolan i Halmstad, Sweden
2020/02 Techniques to deal with Imbalanced Data in Multi-class Problems: A Review of Existing Methods.
(Thesis) Main arguer
 Vitor Miguel Saraiva Esteves (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2020/02 Multiboosting for regression
(Thesis) Main arguer
 Nuno Miguel Rainho Valente (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2019/11 Market Basket Analysis and High Utility Itemset Mining in a Retail Company
(Thesis) Main arguer
 Joana Monteiro Lemos (Master)
Universidade do Porto Faculdade de Economia, Portugal
2019/05 Metalearning for multiple-domain Transfer Learning
(Thesis) Arguer
 Catarina Félix Oliveira (PhD)
Universidade do Porto Faculdade de Ciências, Portugal
2018/10 Smart Cities - Agendamento dinâmico de recolhas de resíduos Porta-a-Porta
(Thesis) Main arguer
 Nuno Miguel de Freitas Filipe (Master)
Universidade do Porto Faculdade de Economia, Portugal
2018/10 Outlier Detection in Accounting
(Thesis) Main arguer
 João Manuel Oliveira Machado (Master)
Universidade do Porto Faculdade de Economia, Portugal
2017/10 Exploratory analysis: The importance of the Ego in a trust network
(Thesis) Main arguer
 Marta Pinto Leite Maximiano Ferreira (Master)
Universidade do Porto Faculdade de Economia, Portugal
2017/10 Regras de Associação – Market Basket Analysis - Items Frequentes e Itens Raros
(Thesis) Main arguer
 Filomena Clara Gouveia Anselmo (Master)
Universidade do Porto Faculdade de Economia, Portugal
2017/03 Rejection-oriented Learning without Complete Class Information.
(Thesis) Arguer
 Douglas de Oliveira Cardoso (PhD)
Universidade Federal do Rio de Janeiro, Brazil
2016/11 Data mining no âmbito da monitorização não-intrusiva de cargas
(Thesis) Main arguer
 Ana Inês Soares Pinto Oliveira Soares (Master)
Universidade do Porto Faculdade de Economia, Portugal
2016/07 Analytics Application for Data Stream Processing from Connected Heating Systems
(Thesis) Main arguer
 Manuel Duarte Vilarinho Mourato (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2016/07 Performance Management Analytics For The Automotive Industry: A Case Study.
(Thesis) Main arguer
 João Carlos Dias Correia Pinto (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2015/11 Monitoring Evolving Stock Networks
(Thesis) Main arguer
 Rui Fernando Lima Dias (Master)
Universidade do Porto Faculdade de Economia, Portugal
2015/07 Gestão de descarregamentos: Um estudo empírico de várias abordagens baseadas em regressão
(Thesis) Main arguer
 Susana Oliveira Pacheco Neves (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2015/07 Deteção de Fraude em Telecomunicações com Técnicas de Data Mining e Análise de Redes Sociais
(Thesis) Main arguer
 João Ricardo Ramos Pitrez (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2015/07 1X2 – Previsão de Resultados de Jogos de Futebol
(Thesis) Main arguer
 Luis Miguel da Silva Duarte (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2014/11 Modelo de Assimilação para Previsão da Produção de Energia Eólica
(Thesis) Main arguer
 Liliana Sousa Oliveira (Master)
Universidade do Porto Faculdade de Economia, Portugal

Association member

Society Organization name Role
2023/11 - Current ACM: Association for Computing Machinery Professional Membership - 4920995

Committee member

Activity description
Role 		Institution / Organization
2019 - Current Scientific Committee of the Master in Data Science
Director
 Universidade do Porto Faculdade de Ciências, Portugal
2016 - 2023/01 Member of Executive Commission of Computer Science Department
Member
 Universidade do Porto Faculdade de Ciências, Portugal

Conference scientific committee

Conference name Conference host
2024 - Current IBERAMIA: Ibero-American Conference on Artificial Intelligence
2024 - Current XAI: The World Conference on eXplainable Artificial Intelligence
2021 - Current IDA: Symposium on Intelligent Data Analysis
2019 - Current ECMLPKDD: European Conference on Machine Learning and Principles and Practice of Knowledge Dis- covery in Databases
2019 - Current DS: International Conference on Discovery Science
2017 - Current LIDTA - International Workshop on Learning with Imbalanced Domains: Theory and Applications - held in conjunction with ECMLPKDD Conference
2016/07 - Current SoGood: International Workshop on Data Science for Social Good - held in conjunction with ECMLPKDD Conference
2016 - Current IoTStreaming: International Workshop on IoT Large Scale Machine Learning from Data Streams - held in conjunction with ECMLPKDD Conference
2015 - Current EPIA: Portuguese Conference on Artificial Intelligence
2023 - 2024 ECAI: European Conference on Artificial Intelligence
2023 - 2023 NeurIPS: Conference on Neural Information Processing System
2023 - 2023 DSAA: IEEE International Conference on Data Science and Advanced Analytics
2023 - 2023 XAI^3: Joint workshops on XAI methods, challenges and applications ECAI
2021 - 2021 AAAI Conference on Artificial Intelligence (AAAI)
2019 - 2021 IJCAI: International Joint Conference on Artificial Intelligence
2019 - 2020 KDD: ACM SIGKDD Conference on Knowledge Discovery and Data Mining
2019 - 2019 AAAI Conference on Artificial Intelligence (AAAI)
2018 - 2018 ICMLA: International Conference on Machine Learning and Applications
2018 - 2018 COSTS: International Workshop on Cost-Sensitive Learning - held in conjunction with SIAM SDM Conference
2017 - 2018 ISMIS: International Symposium on Methodologies for Intelligent Systems
2016 - 2018 NFMCP: International Workshop on New Frontiers in Mining Complex Patterns - held in conjunction with ECMLPKDD Conference
2016 - 2016 IBERAMIA: Ibero-American Conference on Artificial Intelligence
2014 - 2014 IBERAMIA: Ibero-American Conference on Artificial Intelligence

Evaluation committee

Activity description
Role 		Institution / Organization Funding entity
2018/06 - Current Evaluation of project submitted in the call CHIST-ERA Call 2017 with the topic "Big data and process modelling for smart industry (BDSI)"
Evaluator
 CHIST-ERA, France

Interview (newspaper / magazine)

Activity description Newspaper / Forum
2023 Inteligência Artifificial: Impacto no Mundo Empresarial O Essencial - Jornal FLUP
2018/11 FailStopper Project - Data Science and Artificial Intelligence in Public Administration - 2018, promoted by FCT Agência Lusa

Interview (tv / radio show)

Program Topic
2023 - 2023 INESC TEC Science Bits Procuram-se eventos raros, falhas e avarias
2019/01 - 2019/01 FailStopper Project - Data Science and Artificial Intelligence in Public Administration - 2018, promoted by FCT Inteligência Artificial - Antena 2

Journal scientific committee

Journal title (ISSN) Publisher
2023 - Current International Journal of Data Science and Analytics (2364-4168) Springer
2023 - Current Information Fusion Elsevier
2022 - Current Intelligent Data Analysis IOS Press
2020 - Current Expert Systems (1468-0394) Wiley Online Library
2014 - Current Machine Learning (1573-0565) Springer
2023 - 2023 ACM Computing Surveys ACM
2021 - 2023 Data Science and Knowledge Discovery MDPI
2020 - 2020 Entropy (1099-4300) MDPI
2017 - 2019 Data Mining and Knowledge Discovery (1573-756X) Springer
2016 - 2018 Knowledge and Information Systems (0219-3116) Springer
2015 - 2016 IEEE Transactions on Knowledge and Data Engineering (1558-2191) IEEE

Other jury / evaluation

Activity description Institution / Organization
2020 - 2020 Evaluator in the Phase I of the Evaluation of research and professional activity of research-oriented institutes of the Czech Academy of Sciences for the period 2015–2019. Akademie ved Ceske republiky, Czech Republic
Distinctions

Award

2021 Best Paper Award - "Improving smart waste collection using AutoML" 6th Workshop on Data Science for Social Good (SoGood 2021), ECML PKDD 2021
2006 Carl Smith Student Award patrocinado pela Yahoo! Research atribuído ao Best Student Paper na conferência Discovery Science 2006
2001 Best graduation grade in Computer Science
Fundação Engenheiro António de Almeida, Portugal

Other distinction

2017 Pedagogic Innovation Award: "Programando Robôs" co-authored with Inês Dutra (FCUP)
Universidade do Porto, Portugal
2014 Carl Smith Student Award patrocinado pela Yahoo! Research atribuído ao Best Student Paper na conferência Discovery Science 2014
2007 NATO ASI scholarship to present submitted work