Cláudio Rebelo de Sá
Cláudio Rebelo de Sá
Data Scientist at Deeper Insights
Verified email at deeperinsights.com
Title
Cited by
Cited by
Year
Mining association rules for label ranking
CR De Sá, C Soares, AM Jorge, P Azevedo, J Costa
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 432-443, 2011
482011
Entropy-based discretization methods for ranking data
CR De Sá, C Soares, A Knobbe
Information Sciences 329, 921-936, 2016
472016
Label ranking forests
CR Sá, C Soares, A Knobbe, P Cortez
Expert Systems 34 (1), 2017
292017
Exceptional preferences mining
CR de Sá, W Duivesteijn, C Soares, A Knobbe
International Conference on Discovery Science, 3-18, 2016
242016
Combining boosted trees with metafeature engineering for predictive maintenance
V Cerqueira, F Pinto, C Sá, C Soares
International Symposium on Intelligent Data Analysis, 393-397, 2016
182016
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 (11), 1775-1807, 2018
162018
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
152013
Variance-based feature importance in neural networks
CR de Sá
International Conference on Discovery Science, 306-315, 2019
102019
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
82018
Distance-based decision tree algorithms for label ranking
CR de Sá, C Rebelo, C Soares, A Knobbe
Portuguese Conference on Artificial Intelligence, 525-534, 2015
82015
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
62019
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
52021
Mining exceptional social behaviour
CC Jorge, M Atzmueller, BM Heravi, JL Gibson, CR de Sá, RJF Rossetti
EPIA Conference on Artificial Intelligence, 460-472, 2019
42019
KnowBots: discovering relevant patterns in chatbot dialogues
A Rivolli, C Amaral, L Guardão, CR de Sá, C Soares
International Conference on Discovery Science, 481-492, 2019
32019
Building robust prediction models for defective sensor data using artificial neural networks
CR de Sá, AK Shekar, H Ferreira, C Soares
International Workshop on Soft Computing Models in Industrial and …, 2019
32019
Preference rules
CR de Sá, C Soares, AM Jorge, PJ Azevedo, A Knobbe
submitted to Information Fusion Journal, 2017
32017
RNNs on Monitoring Physical Activity Energy Expenditure in Older People
S Paraschiakos, CR de Sá, J Okai, EP Slagboom, M Beekman, A Knobbe
arXiv preprint arXiv:2006.01169, 2020
22020
Permutation tests for label ranking
CR de Sá, C Soares, A Knobbe
Proceedings of the 27th Benelux Conference on Artificial Intelligence (BNAIC …, 2015
22015
“” Want to come play with me? Outlier subgroup discovery on spatio-temporal interactions
CC Jorge, M Atzmueller, BM Heravi, JL Gibson, RJF Rossetti, CR de Sá
EXPERT SYSTEMS, 2021
12021
Ensemble Clustering for Novelty Detection in Data Streams
KD Garcia, ER de Faria, CR de Sá, J Mendes-Moreira, CC Aggarwal, ...
International Conference on Discovery Science, 460-470, 2019
12019
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