Telmo de Menezes e Silva Filho
Telmo de Menezes e Silva Filho
Professor do Departamento de Estatística, Universidade Federal da Paraíba
Verified email at de.ufpb.br
Title
Cited by
Cited by
Year
Hybrid methods for fuzzy clustering based on fuzzy c-means and improved particle swarm optimization
TM Silva Filho, BA Pimentel, RMCR Souza, ALI Oliveira
Expert Systems with Applications 42 (17-18), 6315-6328, 2015
1212015
Beta calibration: a well-founded and easily implemented improvement on logistic calibration for binary classifiers
M Kull, T Silva Filho, P Flach
Artificial Intelligence and Statistics, 623-631, 2017
582017
Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with Dirichlet calibration
M Kull, MP Nieto, M Kängsepp, T Silva Filho, H Song, P Flach
Advances in Neural Information Processing Systems, 12316-12326, 2019
492019
Beyond sigmoids: How to obtain well-calibrated probabilities from binary classifiers with beta calibration
M Kull, TM Silva Filho, P Flach
Electronic Journal of Statistics 11 (2), 5052-5080, 2017
372017
A parametrized approach for linear regression of interval data
LC Souza, RMCR Souza, GJA Amaral, TM Silva Filho
Knowledge-Based Systems 131, 149-159, 2017
182017
Background Check: A general technique to build more reliable and versatile classifiers
M Perello-Nieto, ES Telmo De Menezes Filho, M Kull, P Flach
2016 IEEE 16th International Conference on Data Mining (ICDM), 1143-1148, 2016
102016
-IRT: A New Item Response Model and its Applications
Y Chen, RBC Prudêncio, T Diethe, P Flach
arXiv preprint arXiv:1903.04016, 2019
92019
A swarm-trained k-nearest prototypes adaptive classifier with automatic feature selection for interval data
TM Silva Filho, RMCR Souza, RBC Prudêncio
Neural Networks 80, 19-33, 2016
52016
Fuzzy learning vector quantization approaches for interval data
TM e Silva Filho, RMCR Souza
2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2013
42013
An interval prototype classifier based on a parameterized distance applied to breast thermographic images
MC Araújo, RMCR Souza, RCF Lima, TM Silva Filho
Medical & biological engineering & computing 55 (6), 873-884, 2017
32017
Pattern classifiers with adaptive distances
TM Silva Filho, RMCR de Souza
The 2011 International Joint Conference on Neural Networks, 1508-1514, 2011
32011
Telmo de M. Silva Filho,” Optimized Learning Vector Quantization Classifier with an Adaptive Euclidean Distance”
RMCR de Souza
19th International Conference, Limassol, Cyprus 5768, 2009
32009
Optimized Learning Vector Quantization Classifier with an Adaptive Euclidean Distance
RMCR de Souza, TM Silva Filho
International Conference on Artificial Neural Networks, 799-806, 2009
32009
A weighted learning vector quantization approach for interval data
TM Silva Filho, RMCR de Souza
International Conference on Neural Information Processing, 504-511, 2012
22012
Kohonen map-wise regression applied to interval data
LC Souza, BA Pimentel, TM Silva Filho, RMCR de Souza
Knowledge-Based Systems, 107091, 2021
2021
Item Response Theory for Evaluating Regression Algorithms
J Moraes, J Reinaldo, TM Silva Filho, RBC Prudêncio
The International Joint Conference on Neural Networks (IJCNN 2020), Forthcoming, 2020
2020
Investigating different fitness criteria for swarm-based clustering
MPDS Souza, TDMS Filho, GJAD Amaral, RMCRD Souza
International Journal of Business Intelligence and Data Mining 15 (1), 117-131, 2019
2019
Classificação baseada em protótipos de decisão mais próximos e distâncias adaptativas
TM SILVA FILHO
Universidade Federal de Pernambuco, 2017
2017
Uma abordagem adaptativa de learning vector quantization para classificação de dados intervalares
TM Silva Filho
Universidade Federal de Pernambuco, 2013
2013
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Articles 1–19