Cláudio Rebelo de Sá

According to our database, Cláudio Rebelo de Sá authored at least 24 papers between 2011 and 2023.

Collaborative distances:

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

2023

"Want to come play with me?" Outlier subgroup discovery on spatio-temporal interactions.

Carolina Centeio Jorge, Martin Atzmueller, Behzad Momahed Heravi, Jenny L. Gibson, Rosaldo J. F. Rossetti, Cláudio Rebelo de Sá

Expert Syst. J. Knowl. Eng., June, 2023

2022

A recurrent neural network architecture to model physical activity energy expenditure in older people.

Stylianos Paraschiakos, Cláudio Rebelo de Sá, Jeremiah Okai, P. Eline Slagboom, Marian Beekman, Arno J. Knobbe

Data Min. Knowl. Discov., 2022

2021

An ensemble of autonomous auto-encoders for human activity recognition.

Kemilly Dearo Garcia, Cláudio Rebelo de Sá, Mannes Poel, Tiago Carvalho, João Mendes-Moreira, João M. P. Cardoso, André C. P. L. F. de Carvalho, Joost N. Kok

Neurocomputing, 2021

2020

RNNs on Monitoring Physical Activity Energy Expenditure in Older People.

Stylianos Paraschiakos, Cláudio Rebelo de Sá, Jeremiah Okai, P. Eline Slagboom, Marian Beekman, Arno J. Knobbe

CoRR, 2020

2019

Building Robust Prediction Models for Defective Sensor Data Using Artificial Neural Networks.

Cláudio Rebelo de Sá, Arvind Kumar Shekar, Hugo M. Ferreira, Carlos Soares

Proceedings of the 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019), 2019

UnFOOT: Unsupervised Football Analytics Tool.

José Carlos Coutinho, João Mendes-Moreira, Cláudio Rebelo de Sá

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

Mining Frequent Distributions in Time Series.

José Carlos Coutinho, João Mendes Moreira, Cláudio Rebelo de Sá

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

Mining Exceptional Social Behaviour.

Carolina Centeio Jorge, Martin Atzmueller, Behzad Momahed Heravi, Jenny L. Gibson, Cláudio Rebelo de Sá, Rosaldo J. F. Rossetti

Proceedings of the Progress in Artificial Intelligence, 2019

Building robust models for Human Activity Recognition from raw accelerometers data using Gated Recurrent Units and Long Short Term Memory Neural Networks.

Jeremiah Okai, Stylianos Paraschiakos, Marian Beekman, Arno J. Knobbe, Cláudio Rebelo de Sá

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Variance-Based Feature Importance in Neural Networks.

Cláudio Rebelo de Sá

Proceedings of the Discovery Science - 22nd International Conference, 2019

KnowBots: Discovering Relevant Patterns in Chatbot Dialogues.

Adriano Rivolli, Catarina Amaral, Luís Guardão, Cláudio Rebelo de Sá, Carlos Soares

Proceedings of the Discovery Science - 22nd International Conference, 2019

Ensemble Clustering for Novelty Detection in Data Streams.

Kemilly Dearo Garcia, Elaine Ribeiro de Faria, Cláudio Rebelo de Sá, João Mendes-Moreira, Charu C. Aggarwal, André C. P. L. F. de Carvalho, Joost N. Kok

Proceedings of the Discovery Science - 22nd International Conference, 2019

2018

Discovering a taste for the unusual: exceptional models for preference mining.

Cláudio Rebelo de Sá, Wouter Duivesteijn, Paulo J. Azevedo, Alípio Mário Jorge, Carlos Soares, Arno J. Knobbe

Mach. Learn., 2018

Preference rules for label ranking: Mining patterns in multi-target relations.

Cláudio Rebelo de Sá, Paulo J. Azevedo, Carlos Soares, Alípio Mário Jorge, Arno J. Knobbe

Inf. Fusion, 2018

Building robust prediction models for defective sensor data using Artificial Neural Networks.

Arvind Kumar Shekar, Cláudio Rebelo de Sá, Hugo Ferreira, Carlos Soares

CoRR, 2018

Smart energy management as a means towards improved energy efficiency.

Dylan te Lindert, Cláudio Rebelo de Sá, Carlos Soares, Arno J. Knobbe

CoRR, 2018

2017

Label Ranking Forests.

Cláudio Rebelo de Sá, Carlos Soares, Arno J. Knobbe, Paulo Cortez

Expert Syst. J. Knowl. Eng., 2017

2016

Pattern Mining for Label Ranking

Cláudio Rebelo de Sá

PhD thesis, 2016

Entropy-based discretization methods for ranking data.

Cláudio Rebelo de Sá, Carlos Soares, Arno J. Knobbe

Inf. Sci., 2016

Combining Boosted Trees with Metafeature Engineering for Predictive Maintenance.

Vítor Cerqueira, Fábio Pinto, Cláudio Rebelo de Sá, Carlos Soares

Proceedings of the Advances in Intelligent Data Analysis XV - 15th International Symposium, 2016

Exceptional Preferences Mining.

Cláudio Rebelo de Sá, Wouter Duivesteijn, Carlos Soares, Arno J. Knobbe

Proceedings of the Discovery Science - 19th International Conference, 2016

2015

Distance-Based Decision Tree Algorithms for Label Ranking.

Cláudio Rebelo de Sá, Carla Rebelo, Carlos Soares, Arno J. Knobbe

Proceedings of the Progress in Artificial Intelligence, 2015

2013

Multi-interval Discretization of Continuous Attributes for Label Ranking.

Cláudio Rebelo de Sá, Carlos Soares, Arno J. Knobbe, Paulo J. Azevedo, Alípio Mário Jorge

Proceedings of the Discovery Science - 16th International Conference, 2013

2011

Mining Association Rules for Label Ranking.

Cláudio Rebelo de Sá, Carlos Soares, Alípio Mário Jorge, Paulo J. Azevedo, Joaquim Pinto da Costa

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011