Rita P. Ribeiro

According to our database, Rita P. Ribeiro authored at least 68 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

From fault detection to anomaly explanation: A case study on predictive maintenance.

João Gama, Rita P. Ribeiro, Saulo Martiello Mastelini, Narjes Davari, Bruno Veloso

J. Web Semant., 2024

Artificial Intelligence Approaches for Predictive Maintenance in the Steel Industry: A Survey.

Jakub Jakubowski, Natalia Wojak-Strzelecka, Rita P. Ribeiro, Sepideh Pashami, Szymon Bobek, João Gama, Grzegorz J. Nalepa

CoRR, 2024

Aequitas Flow: Streamlining Fair ML Experimentation.

Sérgio M. Jesus, Pedro Saleiro, Inês Oliveira e Silva, Beatriz M. Jorge, Rita P. Ribeiro, João Gama, Pedro Bizarro, Rayid Ghani

CoRR, 2024

A Neuro-Symbolic Explainer for Rare Events: A Case Study on Predictive Maintenance.

João Gama, Rita P. Ribeiro, Saulo Martiello Mastelini, Narjes Davari, Bruno Veloso

CoRR, 2024

Towards Evaluation of Explainable Artificial Intelligence in Streaming Data.

Maciej Mozolewski, Szymon Bobek, Rita P. Ribeiro, Grzegorz J. Nalepa, João Gama

Proceedings of the Explainable Artificial Intelligence, 2024

Detecting and Explaining Anomalies in the Air Production Unit of a Train.

Narjes Davari, Bruno Veloso, Rita Paula Ribeiro, João Manuel Portela da Gama

Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

Super-Resolution Analysis for Landfill Waste Classification.

Matías Molina, Rita P. Ribeiro, Bruno Veloso, João Gama

Proceedings of the Advances in Intelligent Data Analysis XXII, 2024

Predictive Maintenance for Industry 4.0 & 5.0.

Rita P. Ribeiro

Proceedings of the 1st International Conference on Explainable AI for Neural and Symbolic Methods, 2024

More (Enough) Is Better: Towards Few-Shot Illegal Landfill Waste Segmentation.

Matías Molina, Bruno Veloso, Carlos Abreu Ferreira, Rita P. Ribeiro, João Gama

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Community-Based Topic Modeling with Contextual Outlier Handling.

César Andrade, Rita P. Ribeiro, João Gama

Proceedings of the Advances in Artificial Intelligence, 2024

2023

MetroPT-3 Dataset.

Narjes Davari, Bruno Veloso, Rita P. Ribeiro, João Gama

Dataset, March, 2023

An Online Anomaly Detection Approach for Fault Detection on Fire Alarm Systems.

Emanuel Sousa Tomé, Rita P. Ribeiro, Inês Dutra, Arlete Rodrigues

Sensors, 2023

Explainable Predictive Maintenance.

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

CoRR, 2023

Why Industry 5.0 Needs XAI 2.0?

Szymon Bobek, Slawomir Nowaczyk, João Gama, Sepideh Pashami, Rita P. Ribeiro, Zahra Taghiyarrenani, Bruno Veloso, Lala H. Rajaoarisoa, Maciej Szelazek, Grzegorz J. Nalepa

Proceedings of the Joint Proceedings of the xAI-2023 Late-breaking Work, 2023

XAI for Predictive Maintenance.

João Gama, Slawomir Nowaczyk, Sepideh Pashami, Rita P. Ribeiro, Grzegorz J. Nalepa, Bruno Veloso

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Pollution Emission Patterns of Transportation in Porto, Portugal Through Network Analysis.

Thiago Andrade, Nirbhaya Shaji, Rita P. Ribeiro, João Gama

Proceedings of the Progress in Artificial Intelligence, 2023

Topic Model with Contextual Outlier Handling: a Study on Electronic Invoice Product Descriptions.

César Andrade, Rita P. Ribeiro, João Gama

Proceedings of the Progress in Artificial Intelligence, 2023

2022

MetroPT2: A Benchmark dataset for predictive maintenance.

Bruno Veloso, João Gama, Rita P. Ribeiro, Pedro Pereira

Dataset, July, 2022

MetroPT: A Benchmark dataset for predictive maintenance.

Bruno Veloso, João Gama, Rita P. Ribeiro, Pedro Pereira

Dataset, July, 2022

Data-Driven Predictive Maintenance.

João Gama, Rita P. Ribeiro, Bruno Veloso

IEEE Intell. Syst., 2022

A Benchmark dataset for predictive maintenance.

Bruno Veloso, João Gama, Rita P. Ribeiro, Pedro Mota Pereira

CoRR, 2022

An Online Data-Driven Predictive Maintenance Approach for Railway Switches.

Emanuel Sousa Tomé, Rita P. Ribeiro, Bruno Veloso, João Gama

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

Study on Correlation Between Vehicle Emissions and Air Quality in Porto.

Nirbhaya Shaji, Thiago Andrade, Rita P. Ribeiro, João Gama

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

Fault Detection in Wastewater Treatment Plants: Application of Autoencoders Models with Streaming Data.

Rodrigo Salles, Jérôme Mendes, Rita P. Ribeiro, João Gama

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

Online Anomaly Explanation: A Case Study on Predictive Maintenance.

Rita P. Ribeiro, Saulo Martiello Mastelini, Narjes Davari, Ehsan Aminian, Bruno Veloso, João Gama

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

Fault Forecasting Using Data-Driven Modeling: A Case Study for Metro do Porto Data Set.

Narjes Davari, Bruno Veloso, Rita P. Ribeiro, João Gama

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation.

Sérgio M. Jesus, José Pombal, Duarte M. Alves, André Ferreira Cruz, Pedro Saleiro, Rita P. Ribeiro, João Gama, Pedro Bizarro

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Combining Multiple Data Sources to Predict IUCN Conservation Status of Reptiles.

Nádia Soares, João F. Gonçalves, Raquel Vasconcelos, Rita P. Ribeiro

Proceedings of the Advances in Intelligent Data Analysis XX, 2022

Bank Statements to Network Features: Extracting Features Out of Time Series Using Visibility Graph.

Nirbhaya Shaji, João Gama, Rita P. Ribeiro, Pedro Gomes

Proceedings of the Advances in Intelligent Data Analysis XX, 2022

A Fault Detection Framework Based on LSTM Autoencoder: A Case Study for Volvo Bus Data Set.

Narjes Davari, Sepideh Pashami, Bruno Veloso, Slawomir Nowaczyk, Yuantao Fan, Pedro Mota Pereira, Rita P. Ribeiro, João Gama

Proceedings of the Advances in Intelligent Data Analysis XX, 2022

Model Optimization in Imbalanced Regression.

Anibal Silva, Rita P. Ribeiro, Nuno Moniz

Proceedings of the Discovery Science - 25th International Conference, 2022

2021

A Survey on Data-Driven Predictive Maintenance for the Railway Industry.

Narjes Davari, Bruno Veloso, Gustavo de Assis Costa, Pedro Mota Pereira, Rita P. Ribeiro, João Gama

Sensors, 2021

Chebyshev approaches for imbalanced data streams regression models.

Ehsan Aminian, Rita P. Ribeiro, João Gama

Data Min. Knowl. Discov., 2021

Improving Smart Waste Collection Using AutoML.

Sónia Teixeira, Guilherme Londres, Bruno Veloso, Rita P. Ribeiro, João Gama

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Predictive maintenance based on anomaly detection using deep learning for air production unit in the railway industry.

Narjes Davari, Bruno Veloso, Rita P. Ribeiro, Pedro Mota Pereira, João Gama

Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

Current Trends in Learning from Data Streams.

João Gama, Bruno Veloso, Ehsan Aminian, Rita P. Ribeiro

Proceedings of the Big Data Analytics - 9th International Conference, 2021

2020

Imbalanced regression and extreme value prediction.

Rita P. Ribeiro, Nuno Moniz

Mach. Learn., 2020

Failure Detection of an Air Production Unit in Operational Context.

Mariana Barros, Bruno Veloso, Pedro Mota Pereira, Rita P. Ribeiro, João Gama

Proceedings of the IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning, 2020

Using Property-Based Testing to Generate Feedback for C Programming Exercises.

Pedro B. Vasconcelos, Rita P. Ribeiro

Proceedings of the First International Computer Programming Education Conference, 2020

2019

Pre-processing approaches for imbalanced distributions in regression.

Paula Branco, Luís Torgo, Rita P. Ribeiro

Neurocomputing, 2019

The search of conditional outliers.

Eduarda Portela, Rita P. Ribeiro, João Gama

Intell. Data Anal., 2019

A Study on Imbalanced Data Streams.

Ehsan Aminian, Rita P. Ribeiro, João Gama

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018

Resampling with neighbourhood bias on imbalanced domains.

Paula Branco, Luís Torgo, Rita P. Ribeiro

Expert Syst. J. Knowl. Eng., 2018

REBAGG: REsampled BAGGing for Imbalanced Regression.

Paula Branco, Luís Torgo, Rita P. Ribeiro

Proceedings of the Second International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2018

SMOTEBoost for Regression: Improving the Prediction of Extreme Values.

Nuno Moniz, Rita P. Ribeiro, Vítor Cerqueira, Nitesh V. Chawla

Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

MetaUtil: Meta Learning for Utility Maximization in Regression.

Paula Branco, Luís Torgo, Rita P. Ribeiro

Proceedings of the Discovery Science - 21st International Conference, 2018

2017

SMOGN: a Pre-processing Approach for Imbalanced Regression.

Paula Branco, Luís Torgo, Rita P. Ribeiro

Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2017

Relevance-Based Evaluation Metrics for Multi-class Imbalanced Domains.

Paula Branco, Luís Torgo, Rita P. Ribeiro

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Outliers and the Simpson's Paradox.

Eduarda Portela, Rita P. Ribeiro, João Gama

Proceedings of the Advances in Soft Computing, 2017

Exploring Resampling with Neighborhood Bias on Imbalanced Regression Problems.

Paula Branco, Luís Torgo, Rita P. Ribeiro

Proceedings of the Progress in Artificial Intelligence, 2017

Learning Through Utility Optimization in Regression Tasks.

Paula Branco, Luís Torgo, Rita P. Ribeiro, Eibe Frank, Bernhard Pfahringer, Markus Michael Rau

Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

2016

Sequential anomalies: a study in the Railway Industry.

Rita P. Ribeiro, Pedro Mota Pereira, João Gama

Mach. Learn., 2016

A Survey of Predictive Modeling on Imbalanced Domains.

Paula Branco, Luís Torgo, Rita P. Ribeiro

ACM Comput. Surv., 2016

UBL: an R package for Utility-based Learning.

Paula Branco, Rita P. Ribeiro, Luís Torgo

CoRR, 2016

Detection of Fraud Symptoms in the Retail Industry.

Rita P. Ribeiro, Ricardo Oliveira, João Gama

Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2016, 2016

2015

Resampling strategies for regression.

Luís Torgo, Paula Branco, Rita P. Ribeiro, Bernhard Pfahringer

Expert Syst. J. Knowl. Eng., 2015

A Survey of Predictive Modelling under Imbalanced Distributions.

Paula Branco, Luís Torgo, Rita P. Ribeiro

CoRR, 2015

An Experimental Study on Predictive Models Using Hierarchical Time Series.

Ana M. Silva, Rita P. Ribeiro, João Gama

Proceedings of the Progress in Artificial Intelligence, 2015

2014

Failure Prediction - An Application in the Railway Industry.

Pedro Mota Pereira, Rita P. Ribeiro, João Gama

Proceedings of the Discovery Science - 17th International Conference, 2014

2013

SMOTE for Regression.

Luís Torgo, Rita P. Ribeiro, Bernhard Pfahringer, Paula Branco

Proceedings of the Progress in Artificial Intelligence, 2013

2012

Towards Utility Maximization in Regression.

Rita P. Ribeiro

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

2010

Interval Forecast of Water Quality Parameters.

Orlando Ohashi, Luís Torgo, Rita P. Ribeiro

Proceedings of the ECAI 2010, 2010

2009

Precision and Recall for Regression.

Luís Torgo, Rita P. Ribeiro

Proceedings of the Discovery Science, 12th International Conference, 2009

2007

Utility-Based Regression.

Luís Torgo, Rita P. Ribeiro

Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

2006

Predicting Rare Extreme Values.

Luís Torgo, Rita P. Ribeiro

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

Rule-Based Prediction of Rare Extreme Values.

Rita P. Ribeiro, Luís Torgo

Proceedings of the Discovery Science, 9th International Conference, 2006

2003

Predicting Outliers.

Luís Torgo, Rita P. Ribeiro

Proceedings of the Knowledge Discovery in Databases: PKDD 2003, 2003

Predicting Harmful Algae Blooms.

Rita P. Ribeiro, Luís Torgo

Proceedings of the Progress in Artificial Intelligence, 2003