Rita P. Ribeiro

95 papers A* 2A 2B 14C 1Misc 5Journal 28Unranked 29
YearRankTypeTitle / Venue / Authors
2026 J jnl
Beyond the Mean: Distribution-Aware Loss Functions for Bimodal Regression.
CoRR
Abolfazl Mohammadi-Seif, Carlos Soares, Rita P. Ribeiro, Ricardo Baeza-Yates
2026 B conf
CARTGen-IR: Synthetic Tabular Data Generation for Imbalanced Regression.
IDA
António Pedro Pinheiro, Rita P. Ribeiro
2026 — ed.
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part I
ECML/PKDD (1)
Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026 — ed.
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part II
ECML/PKDD (2)
Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026 — ed.
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part III
ECML/PKDD (3)
Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026 — ed.
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part IV
ECML/PKDD (4)
Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026 — ed.
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part V
ECML/PKDD (5)
Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026 — ed.
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part VI
ECML/PKDD (6)
Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026 — ed.
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part VII
ECML/PKDD (7)
Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026 — ed.
Machine Learning and Knowledge Discovery in Databases. Research Track and Applied Data Science Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part VIII
ECML/PKDD (8)
Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Rita P. Ribeiro, Inês Dutra, Mykola Pechenizkiy, Paulo Cortez, Sepideh Pashami, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2025 J jnl
CART-based Synthetic Tabular Data Generation for Imbalanced Regression.
CoRR
António Pedro Pinheiro, Rita P. Ribeiro
2025 Misc conf
Efficient Instance Selection in Tree-Based Models for Data Streams Classification.
SAC
Aldo Marcelo Paim, João Gama, Bruno Veloso, Fabrício Enembreck, Rita P. Ribeiro
2025 J jnl
Histogram approaches for imbalanced data streams regression.
CoRR
Ehsan Aminian, João Gama, Rita P. Ribeiro
2025 J jnl
Histogram approaches for imbalanced data streams regression.
Mach. Learn.
Ehsan Aminian, Rita P. Ribeiro, João Gama
2025 J jnl
Network-based Anomaly Detection in Waste Transportation Data with Limited Supervision.
Appl. Netw. Sci.
Nirbhaya Shaji, Shazia Tabassum, Rita P. Ribeiro, João Gama, Joana Gorgulho, Ana Garcia, Pedro Santana
2024 J jnl
A Neuro-Symbolic Explainer for Rare Events: A Case Study on Predictive Maintenance.
CoRR
João Gama, Rita P. Ribeiro, Saulo Martiello Mastelini, Narjes Davari, Bruno Veloso
2024 J jnl
Aequitas Flow: Streamlining Fair ML Experimentation.
CoRR
Sérgio M. Jesus, Pedro Saleiro, Inês Oliveira e Silva, Beatriz M. Jorge, Rita P. Ribeiro, João Gama, Pedro Bizarro, Rayid Ghani
2024 J jnl
Aequitas Flow: Streamlining Fair ML Experimentation.
J. Mach. Learn. Res.
Sérgio M. Jesus, Pedro Saleiro, Inês Oliveira e Silva, Beatriz M. Jorge, Rita P. Ribeiro, João Gama, Pedro Bizarro, Rayid Ghani
2024 J jnl
Artificial Intelligence Approaches for Predictive Maintenance in the Steel Industry: A Survey.
CoRR
Jakub Jakubowski, Natalia Wojak-Strzelecka, Rita P. Ribeiro, Sepideh Pashami, Szymon Bobek, João Gama, Grzegorz J. Nalepa
2024 — conf
Community-Based Topic Modeling with Contextual Outlier Handling.
CAEPIA
César Andrade, Rita P. Ribeiro, João Gama
2024 — conf
Emotion-Enhanced Pain Assessment Protocol.
HAR
Bruna Alves, Ana Almeida, Catarina Silva, Daniela Pais, Rita P. Ribeiro, João Gama, José Maria Fernandes, Susana Brás, Raquel Sebastião
2024 — conf
Evaluating Short Text Stream Clustering on Large E-commerce Datasets.
BRACIS (3)
César Andrade, Rita P. Ribeiro, João Gama
2024 J jnl
From fault detection to anomaly explanation: A case study on predictive maintenance.
J. Web Semant.
João Gama, Rita P. Ribeiro, Saulo Martiello Mastelini, Narjes Davari, Bruno Veloso
2024 A conf
More (Enough) Is Better: Towards Few-Shot Illegal Landfill Waste Segmentation.
ECAI
Matías Molina, Bruno Veloso, Carlos Abreu Ferreira, Rita P. Ribeiro, João Gama
2024 — conf
Predictive Maintenance for Industry 4.0 & 5.0.
EXPLAINS
Rita P. Ribeiro
2024 C conf
Predictive Maintenance for Industry 4.0 & 5.0.
IJCCI
Rita P. Ribeiro
2024 — conf
Super-Resolution Analysis for Landfill Waste Classification.
IDA (1)
Matías Molina, Rita P. Ribeiro, Bruno Veloso, João Gama
2024 J jnl
Super-Resolution Analysis for Landfill Waste Classification.
CoRR
Matías Molina, Rita P. Ribeiro, Bruno Veloso, João Gama
2024 — conf
Towards Evaluation of Explainable Artificial Intelligence in Streaming Data.
xAI (4)
Maciej Mozolewski, Szymon Bobek, Rita P. Ribeiro, Grzegorz J. Nalepa, João Gama
2023 J jnl
An Online Anomaly Detection Approach for Fault Detection on Fire Alarm Systems.
Sensors
Emanuel Sousa Tomé, Rita P. Ribeiro, Inês Dutra, Arlete Rodrigues
2023 — conf
Anomaly Detection in Pet Behavioural Data.
PKDD/ECML Workshops (2)
Inês Oliveira e Silva, Rita P. Ribeiro, João Gama
2023 — conf
Data Science for Fighting Environmental Crime.
PKDD/ECML Workshops (2)
Marta Barbosa, Carolina Ribeiro, Filipe Gomes, Rita P. Ribeiro, João Gama
2023 B ed.
Discovery Science - 26th International Conference, DS 2023, Porto, Portugal, October 9-11, 2023, Proceedings
DS
Albert Bifet, Ana Carolina Lorena, Rita P. Ribeiro, João Gama, Pedro H. Abreu
2023 J jnl
Explainable Predictive Maintenance.
CoRR
Sepideh Pashami, Slawomir Nowaczyk, Yuantao Fan, Jakub Jakubowski, Nuno Paiva, Narjes Davari, Szymon Bobek, Samaneh Jamshidi, Hamid Sarmadi, Abdallah Alabdallah, Rita P. Ribeiro, Bruno Veloso, Moamar Sayed-Mouchaweh, Lala H. Rajaoarisoa, Grzegorz J. Nalepa, João Gama
2023 — ed.
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
PKDD/ECML Workshops (1)
Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami
2023 — ed.
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
PKDD/ECML Workshops (2)
Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami
2023 — conf
Pollution Emission Patterns of Transportation in Porto, Portugal Through Network Analysis.
EPIA (1)
Thiago Andrade, Nirbhaya Shaji, Rita P. Ribeiro, João Gama
2023 — conf
Topic Model with Contextual Outlier Handling: a Study on Electronic Invoice Product Descriptions.
EPIA (1)
César Andrade, Rita P. Ribeiro, João Gama
2023 — conf
Why Industry 5.0 Needs XAI 2.0?
xAI (Late-breaking Work, Demos, Doctoral Consortium)
Szymon Bobek, Slawomir Nowaczyk, João Gama, Sepideh Pashami, Rita P. Ribeiro, Zahra Taghiyarrenani, Bruno Veloso, Lala H. Rajaoarisoa, Maciej Szelazek, Grzegorz J. Nalepa
2023 A* conf
XAI for Predictive Maintenance.
KDD
João Gama, Slawomir Nowaczyk, Sepideh Pashami, Rita P. Ribeiro, Grzegorz J. Nalepa, Bruno Veloso
2022 J jnl
A Benchmark dataset for predictive maintenance.
CoRR
Bruno Veloso, João Gama, Rita P. Ribeiro, Pedro Mota Pereira
2022 B conf
A Fault Detection Framework Based on LSTM Autoencoder: A Case Study for Volvo Bus Data Set.
IDA
Narjes Davari, Sepideh Pashami, Bruno Veloso, Slawomir Nowaczyk, Yuantao Fan, Pedro Mota Pereira, Rita P. Ribeiro, João Gama
2022 — conf
An Online Data-Driven Predictive Maintenance Approach for Railway Switches.
PKDD/ECML Workshops (2)
Emanuel Sousa Tomé, Rita P. Ribeiro, Bruno Veloso, João Gama
2022 B conf
Bank Statements to Network Features: Extracting Features Out of Time Series Using Visibility Graph.
IDA
Nirbhaya Shaji, João Gama, Rita P. Ribeiro, Pedro Gomes
2022 B conf
Combining Multiple Data Sources to Predict IUCN Conservation Status of Reptiles.
IDA
Nádia Soares, João F. Gonçalves, Raquel Vasconcelos, Rita P. Ribeiro
2022 J jnl
Data-Driven Predictive Maintenance.
IEEE Intell. Syst.
João Gama, Rita P. Ribeiro, Bruno Veloso
2022 — conf
Fault Detection in Wastewater Treatment Plants: Application of Autoencoders Models with Streaming Data.
PKDD/ECML Workshops (1)
Rodrigo Salles, Jérôme Mendes, Rita P. Ribeiro, João Gama
2022 — conf
Fault Forecasting Using Data-Driven Modeling: A Case Study for Metro do Porto Data Set.
PKDD/ECML Workshops (2)
Narjes Davari, Bruno Veloso, Rita P. Ribeiro, João Gama
2022 B conf
Model Optimization in Imbalanced Regression.
DS
Anibal Silva, Rita P. Ribeiro, Nuno Moniz
2022 J jnl
Model Optimization in Imbalanced Regression.
CoRR
Anibal Silva, Rita P. Ribeiro, Nuno Moniz
2022 — conf
Online Anomaly Explanation: A Case Study on Predictive Maintenance.
PKDD/ECML Workshops (2)
Rita P. Ribeiro, Saulo Martiello Mastelini, Narjes Davari, Ehsan Aminian, Bruno Veloso, João Gama
2022 — conf
Study on Correlation Between Vehicle Emissions and Air Quality in Porto.
PKDD/ECML Workshops (1)
Nirbhaya Shaji, Thiago Andrade, Rita P. Ribeiro, João Gama
2022 A* conf
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation.
NeurIPS
Sérgio M. Jesus, José Pombal, Duarte M. Alves, André Ferreira Cruz, Pedro Saleiro, Rita P. Ribeiro, João Gama, Pedro Bizarro
2022 J jnl
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation.
CoRR
Sérgio M. Jesus, José Pombal, Duarte M. Alves, André Ferreira Cruz, Pedro Saleiro, Rita P. Ribeiro, João Gama, Pedro Bizarro
2021 J jnl
A Survey on Data-Driven Predictive Maintenance for the Railway Industry.
Sensors
Narjes Davari, Bruno Veloso, Gustavo de Assis Costa, Pedro Mota Pereira, Rita P. Ribeiro, João Gama
2021 J jnl
Chebyshev approaches for imbalanced data streams regression models.
Data Min. Knowl. Discov.
Ehsan Aminian, Rita P. Ribeiro, João Gama
2021 — conf
Current Trends in Learning from Data Streams.
BDA
João Gama, Bruno Veloso, Ehsan Aminian, Rita P. Ribeiro
2021 — conf
Improving Smart Waste Collection Using AutoML.
PKDD/ECML Workshops (2)
Sónia Teixeira, Guilherme Londres, Bruno Veloso, Rita P. Ribeiro, João Gama
2021 — ed.
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
PKDD/ECML Workshops (1)
Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça
2021 — ed.
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
PKDD/ECML Workshops (2)
Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça
2021 B conf
Predictive maintenance based on anomaly detection using deep learning for air production unit in the railway industry.
DSAA
Narjes Davari, Bruno Veloso, Rita P. Ribeiro, Pedro Mota Pereira, João Gama
2020 — ed.
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
PKDD/ECML Workshops
Irena Koprinska, Michael Kamp, Annalisa Appice, Corrado Loglisci, Luiza Antonie, Albrecht Zimmermann, Riccardo Guidotti, Özlem Özgöbek, Rita P. Ribeiro, Ricard Gavaldà, João Gama, Linara Adilova, Yamuna Krishnamurthy, Pedro M. Ferreira, Donato Malerba, Ibéria Medeiros, Michelangelo Ceci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras, Peter Christen, Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Anna Monreale, Przemyslaw Biecek, Salvatore Rinzivillo, Benjamin Kille, Andreas Lommatzsch, Jon Atle Gulla
2020 — conf
Failure Detection of an Air Production Unit in Operational Context.
IoT Streams/ITEM@PKDD/ECML
Mariana Barros, Bruno Veloso, Pedro Mota Pereira, Rita P. Ribeiro, João Gama
2020 J jnl
Imbalanced regression and extreme value prediction.
Mach. Learn.
Rita P. Ribeiro, Nuno Moniz
2020 — conf
Using Property-Based Testing to Generate Feedback for C Programming Exercises.
ICPEC
Pedro B. Vasconcelos, Rita P. Ribeiro
2019 — conf
A Study on Imbalanced Data Streams.
PKDD/ECML Workshops (2)
Ehsan Aminian, Rita P. Ribeiro, João Gama
2019 — ed.
ECML PKDD 2018 Workshops - DMLE 2018 and IoTStream 2018, Dublin, Ireland, September 10-14, 2018, Revised Selected Papers
DMLE/IOTSTREAMING@PKDD/ECML
Anna Monreale, Carlos Alzate, Michael Kamp, Yamuna Krishnamurthy, Daniel Paurat, Moamar Sayed-Mouchaweh, Albert Bifet, João Gama, Rita P. Ribeiro
2019 J jnl
Pre-processing approaches for imbalanced distributions in regression.
Neurocomputing
Paula Branco, Luís Torgo, Rita P. Ribeiro
2019 J jnl
The search of conditional outliers.
Intell. Data Anal.
Eduarda Portela, Rita P. Ribeiro, João Gama
2018 B conf
MetaUtil: Meta Learning for Utility Maximization in Regression.
DS
Paula Branco, Luís Torgo, Rita P. Ribeiro
2018 — conf
REBAGG: REsampled BAGGing for Imbalanced Regression.
LIDTA@ECML/PKDD
Paula Branco, Luís Torgo, Rita P. Ribeiro
2018 J jnl
Resampling with neighbourhood bias on imbalanced domains.
Expert Syst. J. Knowl. Eng.
Paula Branco, Luís Torgo, Rita P. Ribeiro
2018 B conf
SMOTEBoost for Regression: Improving the Prediction of Extreme Values.
DSAA
Nuno Moniz, Rita P. Ribeiro, Vítor Cerqueira, Nitesh V. Chawla
2017 Misc conf
Exploring Resampling with Neighborhood Bias on Imbalanced Regression Problems.
EPIA
Paula Branco, Luís Torgo, Rita P. Ribeiro
2017 B conf
Learning Through Utility Optimization in Regression Tasks.
DSAA
Paula Branco, Luís Torgo, Rita P. Ribeiro, Eibe Frank, Bernhard Pfahringer, Markus Michael Rau
2017 — conf
Outliers and the Simpson's Paradox.
MICAI (1)
Eduarda Portela, Rita P. Ribeiro, João Gama
2017 — conf
Relevance-Based Evaluation Metrics for Multi-class Imbalanced Domains.
PAKDD (1)
Paula Branco, Luís Torgo, Rita P. Ribeiro
2017 — conf
SMOGN: a Pre-processing Approach for Imbalanced Regression.
LIDTA@PKDD/ECML
Paula Branco, Luís Torgo, Rita P. Ribeiro
2016 J jnl
A Survey of Predictive Modeling on Imbalanced Domains.
ACM Comput. Surv.
Paula Branco, Luís Torgo, Rita P. Ribeiro
2016 — conf
Detection of Fraud Symptoms in the Retail Industry.
IBERAMIA
Rita P. Ribeiro, Ricardo Oliveira, João Gama
2016 J jnl
Sequential anomalies: a study in the Railway Industry.
Mach. Learn.
Rita P. Ribeiro, Pedro Mota Pereira, João Gama
2016 J jnl
UBL: an R package for Utility-based Learning.
CoRR
Paula Branco, Rita P. Ribeiro, Luís Torgo
2015 J jnl
A Survey of Predictive Modelling under Imbalanced Distributions.
CoRR
Paula Branco, Luís Torgo, Rita P. Ribeiro
2015 Misc conf
An Experimental Study on Predictive Models Using Hierarchical Time Series.
EPIA
Ana M. Silva, Rita P. Ribeiro, João Gama
2015 J jnl
Resampling strategies for regression.
Expert Syst. J. Knowl. Eng.
Luís Torgo, Paula Branco, Rita P. Ribeiro, Bernhard Pfahringer
2014 B conf
Failure Prediction - An Application in the Railway Industry.
Discovery Science
Pedro Mota Pereira, Rita P. Ribeiro, João Gama
2013 Misc conf
SMOTE for Regression.
EPIA
Luís Torgo, Rita P. Ribeiro, Bernhard Pfahringer, Paula Branco
2012 — conf
Towards Utility Maximization in Regression.
ICDM Workshops
Rita P. Ribeiro
2010 A conf
Interval Forecast of Water Quality Parameters.
ECAI
Orlando Ohashi, Luís Torgo, Rita P. Ribeiro
2009 B conf
Precision and Recall for Regression.
Discovery Science
Luís Torgo, Rita P. Ribeiro
2007 — conf
Utility-Based Regression.
PKDD
Luís Torgo, Rita P. Ribeiro
2006 B conf
Predicting Rare Extreme Values.
PAKDD
Luís Torgo, Rita P. Ribeiro
2006 B conf
Rule-Based Prediction of Rare Extreme Values.
Discovery Science
Rita P. Ribeiro, Luís Torgo
2003 Misc conf
Predicting Harmful Algae Blooms.
EPIA
Rita P. Ribeiro, Luís Torgo
2003 — conf
Predicting Outliers.
PKDD
Luís Torgo, Rita P. Ribeiro