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ORCIDCláudio Rebelo de Sá
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2020 – today
- 2023
[j7]Carolina Centeio Jorge
, Martin Atzmueller, Behzad Momahed Heravi, Jenny L. Gibson, Rosaldo J. F. Rossetti, Cláudio Rebelo de Sá:
"Want to come play with me?" Outlier subgroup discovery on spatio-temporal interactions. Expert Syst. J. Knowl. Eng. 40(5) (2023)- 2022
- [j6]Stylianos Paraschiakos, Cláudio Rebelo de Sá, Jeremiah Okai, P. Eline Slagboom, Marian Beekman, Arno J. Knobbe:
A recurrent neural network architecture to model physical activity energy expenditure in older people. Data Min. Knowl. Discov. 36(1): 477-512 (2022) - 2021
- [j5]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:
An ensemble of autonomous auto-encoders for human activity recognition. Neurocomputing 439: 271-280 (2021) - 2020
- [i4]Stylianos Paraschiakos, Cláudio Rebelo de Sá, Jeremiah Okai, P. Eline Slagboom, Marian Beekman, Arno J. Knobbe:
RNNs on Monitoring Physical Activity Energy Expenditure in Older People. CoRR abs/2006.01169 (2020)
2010 – 2019
- 2019
- [c13]Cláudio Rebelo de Sá:
Variance-Based Feature Importance in Neural Networks. DS 2019: 306-315 - [c12]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:
Ensemble Clustering for Novelty Detection in Data Streams. DS 2019: 460-470 - [c11]Adriano Rivolli, Catarina Amaral, Luís Guardão, Cláudio Rebelo de Sá, Carlos Soares:
KnowBots: Discovering Relevant Patterns in Chatbot Dialogues. DS 2019: 481-492 - [c10]Jeremiah Okai, Stylianos Paraschiakos, Marian Beekman, Arno J. Knobbe, Cláudio Rebelo de Sá:
Building robust models for Human Activity Recognition from raw accelerometers data using Gated Recurrent Units and Long Short Term Memory Neural Networks. EMBC 2019: 2486-2491 - [c9]Carolina Centeio Jorge, Martin Atzmueller, Behzad Momahed Heravi, Jenny L. Gibson, Cláudio Rebelo de Sá, Rosaldo J. F. Rossetti:
Mining Exceptional Social Behaviour. EPIA (2) 2019: 460-472 - [c8]José Carlos Coutinho, João Mendes Moreira, Cláudio Rebelo de Sá:
Mining Frequent Distributions in Time Series. IDEAL (2) 2019: 271-279 - [c7]José Carlos Coutinho, João Mendes-Moreira, Cláudio Rebelo de Sá:
UnFOOT: Unsupervised Football Analytics Tool. ECML/PKDD (3) 2019: 786-789 - [c6]Cláudio Rebelo de Sá, Arvind Kumar Shekar, Hugo M. Ferreira, Carlos Soares:
Building Robust Prediction Models for Defective Sensor Data Using Artificial Neural Networks. SOCO 2019: 142-153 - [i3]Cláudio Rebelo de Sá, Paulo J. Azevedo, Carlos Soares, Alípio Mário Jorge, Arno J. Knobbe:
Preference rules for label ranking: Mining patterns in multi-target relations. CoRR abs/1903.08504 (2019) - 2018
- [j4]Cláudio Rebelo de Sá, Paulo J. Azevedo, Carlos Soares, Alípio Mário Jorge, Arno J. Knobbe:
Preference rules for label ranking: Mining patterns in multi-target relations. Inf. Fusion 40: 112-125 (2018) - [j3]Cláudio Rebelo de Sá, Wouter Duivesteijn, Paulo J. Azevedo, Alípio Mário Jorge, Carlos Soares, Arno J. Knobbe:
Discovering a taste for the unusual: exceptional models for preference mining. Mach. Learn. 107(11): 1775-1807 (2018) - [i2]Dylan te Lindert, Cláudio Rebelo de Sá, Carlos Soares, Arno J. Knobbe:
Smart energy management as a means towards improved energy efficiency. CoRR abs/1802.04128 (2018) - [i1]Arvind Kumar Shekar, Cláudio Rebelo de Sá, Hugo Ferreira, Carlos Soares:
Building robust prediction models for defective sensor data using Artificial Neural Networks. CoRR abs/1804.05544 (2018) - 2017
- [j2]Cláudio Rebelo de Sá, Carlos Soares, Arno J. Knobbe, Paulo Cortez:
Label Ranking Forests. Expert Syst. J. Knowl. Eng. 34(1) (2017) - 2016
- [b1]Cláudio Rebelo de Sá:
Pattern Mining for Label Ranking. University of Porto, Portugal, 2016 - [j1]Cláudio Rebelo de Sá, Carlos Soares, Arno J. Knobbe:
Entropy-based discretization methods for ranking data. Inf. Sci. 329: 921-936 (2016) - [c5]Cláudio Rebelo de Sá, Wouter Duivesteijn, Carlos Soares, Arno J. Knobbe:
Exceptional Preferences Mining. DS 2016: 3-18 - [c4]Vítor Cerqueira, Fábio Pinto, Cláudio Rebelo de Sá, Carlos Soares:
Combining Boosted Trees with Metafeature Engineering for Predictive Maintenance. IDA 2016: 393-397 - 2015
- [c3]Cláudio Rebelo de Sá, Carla Rebelo, Carlos Soares, Arno J. Knobbe:
Distance-Based Decision Tree Algorithms for Label Ranking. EPIA 2015: 525-534 - 2013
- [c2]Cláudio Rebelo de Sá, Carlos Soares, Arno J. Knobbe, Paulo J. Azevedo, Alípio Mário Jorge:
Multi-interval Discretization of Continuous Attributes for Label Ranking. Discovery Science 2013: 155-169 - 2011
- [c1]Cláudio Rebelo de Sá, Carlos Soares, Alípio Mário Jorge, Paulo J. Azevedo, Joaquim Pinto da Costa:
Mining Association Rules for Label Ranking. PAKDD (2) 2011: 432-443
Coauthor Index
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