Telmo de Menezes e Silva Filho
Telmo de Menezes e Silva Filho
Lecturer in Data Science, Department of Engineering Mathematics, University of Bristol
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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
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
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
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
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
-IRT: A New Item Response Model and its Applications
Y Chen, T Silva Filho, RB Prudencio, T Diethe, P Flach
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
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
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
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
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
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
Pattern classifiers with adaptive distances
TM Silva Filho, RMCR de Souza
The 2011 International Joint Conference on Neural Networks, 1508-1514, 2011
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
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
A weighted learning vector quantization approach for interval data
TM Silva Filho, RMCR de Souza
International Conference on Neural Information Processing, 504-511, 2012
MaasPenn radiomics reproducibility score: A novel quantitative measure for evaluating the reproducibility of CT-based handcrafted radiomic features
A Ibrahim, B Barufaldi, T Refaee, TM Silva Filho, RJ Acciavatti, ...
Cancers 14 (7), 1599, 2022
A two-level Item Response Theory model to evaluate speech synthesis and recognition
CS Oliveira, JVC Moraes, T Silva Filho, RBC Prudêncio
Speech Communication, 2021
Automatic Segmentation of Mammary Tissue using Computer Simulations of Breast Phantoms and Deep-learning Techniques.
LR Peregrino, JV Gomes, TG do Rêgo, Y de AM Barbosa, ...
BIOSIGNALS, 252-259, 2021
Learning under Concept Drift for Regression-A Systematic Literature Review
M Lima, M Neto, T Silva Filho, AA Roberta
IEEE Access, 2022
Novel Perlin-based phantoms using 3D models of compressed breast shapes and fractal noise
JPV Teixeira, TM Silva Filho, TG do Rego, YB Malheiros, M Dustler, ...
Medical Imaging 2022: Physics of Medical Imaging 12031, 793-802, 2022
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