Cláudio Rebelo de Sá
Cláudio Rebelo de Sá
AI Consultant at Deeper Insights AI
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
Entropy-based discretization methods for ranking data
CR De Sá, C Soares, A Knobbe
Information Sciences 329, 921-936, 2016
An ensemble of autonomous auto-encoders for human activity recognition
KD Garcia, CR de Sá, M Poel, T Carvalho, J Mendes-Moreira, ...
Neurocomputing 439, 271-280, 2021
Mining association rules for label ranking
CR De Sá, C Soares, AM Jorge, P Azevedo, J Costa
Advances in Knowledge Discovery and Data Mining: 15th Pacific-Asia …, 2011
Label ranking forests
CR Sá, C Soares, A Knobbe, P Cortez
Expert Systems 34 (1), 2017
Variance-based feature importance in neural networks
CR de Sá
International Conference on Discovery Science, 306-315, 2019
Exceptional preferences mining
C Rebelo de Sá, W Duivesteijn, C Soares, A Knobbe
Discovery Science: 19th International Conference, DS 2016, Bari, Italy …, 2016
Combining boosted trees with metafeature engineering for predictive maintenance
V Cerqueira, F Pinto, C Sá, C Soares
Advances in Intelligent Data Analysis XV: 15th International Symposium, IDA …, 2016
Building robust models for Human Activity Recognition from raw accelerometers data using Gated Recurrent Units and Long Short Term Memory Neural Networks
CRS Jeremiah Okai, Stylianos Paraschiakos, Marian Beekman, Arno Knobbe
41st Annual International Conference of the IEEE Engineering in Medicine and …, 2019
Discovering a taste for the unusual: exceptional models for preference mining
CR de Sá, W Duivesteijn, P Azevedo, AM Jorge, C Soares, A Knobbe
Machine Learning 107, 1775-1807, 2018
Multi-interval discretization of continuous attributes for label ranking
CR De Sá, C Soares, A Knobbe, P Azevedo, AM Jorge
International Conference on Discovery Science, 155-169, 2013
Preference rules for label ranking: Mining patterns in multi-target relations
CR de Sá, P Azevedo, C Soares, AM Jorge, A Knobbe
Information Fusion 40, 112-125, 2018
Distance-based decision tree algorithms for label ranking
C Rebelo de Sá, C Rebelo, C Soares, A Knobbe
Progress in Artificial Intelligence: 17th Portuguese Conference on …, 2015
A recurrent neural network architecture to model physical activity energy expenditure in older people
S Paraschiakos, CR de Sá, J Okai, PE Slagboom, M Beekman, A Knobbe
Data Mining and Knowledge Discovery 36 (1), 477-512, 2022
Mining exceptional social behaviour
CC Jorge, M Atzmueller, BM Heravi, JL Gibson, CR de Sá, RJF Rossetti
Progress in Artificial Intelligence: 19th EPIA Conference on Artificial …, 2019
KnowBots: discovering relevant patterns in chatbot dialogues
A Rivolli, C Amaral, L Guardão, CR de Sá, C Soares
Discovery Science: 22nd International Conference, DS 2019, Split, Croatia …, 2019
Building robust prediction models for defective sensor data using artificial neural networks
CR de Sá, AK Shekar, H Ferreira, C Soares
14th International Conference on Soft Computing Models in Industrial and …, 2020
“Want to come play with me?” Outlier subgroup discovery on spatio‐temporal interactions
C Centeio Jorge, M Atzmueller, BM Heravi, JL Gibson, RJF Rossetti, ...
Expert Systems 40 (5), e12686, 2023
Ensemble clustering for novelty detection in data streams
KD Garcia, ER de Faria, CR de Sá, J Mendes-Moreira, CC Aggarwal, ...
Discovery Science: 22nd International Conference, DS 2019, Split, Croatia …, 2019
Preference rules
CR de Sá, C Soares, AM Jorge, PJ Azevedo, A Knobbe
submitted to Information Fusion Journal, 2017
Permutation tests for label ranking
CR de Sá, C Soares, A Knobbe
Proceedings of the 27th Benelux Conference on Artificial Intelligence (BNAIC …, 2015
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