Telmo de Menezes e Silva Filho
Telmo de Menezes e Silva Filho
Senior Lecturer in Data Science, School of Engineering Maths and Technology, University of Bristol
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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
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 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
Classifier calibration: a survey on how to assess and improve predicted class probabilities
T Silva Filho, H Song, M Perello-Nieto, R Santos-Rodriguez, M Kull, ...
Machine Learning, 1-50, 2023
-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
Learning Under Concept Drift for Regression—A Systematic Literature Review
M Lima, M Neto, T Silva Filho, RAA Fagundes
IEEE Access 10, 45410-45429, 2022
Classifier Calibration: How to assess and improve predicted class probabilities: a survey
T Silva Filho, H Song, M Perello-Nieto, R Santos-Rodriguez, M Kull, ...
arXiv e-prints, arXiv: 2112.10327, 2021
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
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
Evaluating regression algorithms at the instance level using item response theory
JVC Moraes, JTS Reinaldo, M Ferreira-Junior, T Silva Filho, ...
Knowledge-Based Systems 240, 108076, 2022
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
Optimized learning vector quantization classifier with an adaptive euclidean distance
RMCR de Souza, T de M. Silva Filho
International Conference on Artificial Neural Networks, 799-806, 2009
Kohonen map-wise regression applied to interval data
LC Souza, BA Pimentel, TM Silva Filho, RMCR de Souza
Knowledge-Based Systems 224, 107091, 2021
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
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
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
Explaining Learning Performance with Local Performance Regions and Maximally Relevant Meta-Rules
RBC Prudêncio, TM Silva Filho
Brazilian Conference on Intelligent Systems, 550-564, 2022
Evaluating Data Representations for Object Recognition During Pick-and-Place Manipulation Tasks
HN de Carvalho, LP Castro, TG Do Rego, TM Silva Filho, ...
2022 IEEE International Systems Conference (SysCon), 1-6, 2022
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