متابعة
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
بريد إلكتروني تم التحقق منه على bristol.ac.uk
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
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
4122019
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
2452017
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
1582015
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
1402017
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 112 (9), 3211-3260, 2023‏
912023
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
572017
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
352022
-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
332019
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
31*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
212016
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
142017
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
122022
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
72016
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
7*2009
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
62022
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
62022
Kohonen map-wise regression applied to interval data‏
LC Souza, BA Pimentel, TM Silva Filho, RMCR de Souza‏
Knowledge-Based Systems 224, 107091, 2021‏
62021
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
62020
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
62013
A two-level Item Response Theory model to evaluate speech synthesis and recognition‏
CS Oliveira, JVC Moraes, T Silva Filho, RBC Prudêncio‏
Speech Communication 137, 19-34, 2022‏
52022
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مقالات 1–20