Telmo de Menezes e Silva Filho

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 28

Top Topics

Swarm Optimization

Automatic Recognition

Data Representations

Top Venues

Knowl. Based Syst.

Publications

Riku Green, Grant Stevens, Telmo de Menezes e Silva Filho, Zahraa S. Abdallah
Time-Series Classification for Dynamic Strategies in Multi-Step Forecasting. CoRR (2024)
Bruno Barufaldi, Jordy V. Gomes, Telmo de Menezes e Silva Filho, Thaís Gaudencio do Rêgo, Yuri Malheiros, Trevor Lewis Vent, Aimilia Gastounioti, Andrew D. A. Maidment
Assessment of volumetric dense tissue segmentation in tomosynthesis using deep virtual clinical trials. Pattern Recognit. 153 (2024)
Wagner J. F. Silva, Telmo de Menezes e Silva Filho, Delmiro D. Sampaio Neto, Renata M. C. R. Souza, Adriano L. I. Oliveira, Francisco José de A. Cysneiros
Sighted particles: improving swarm optimization by making particles aware of their surroundings. Evol. Intell. 17 (2) (2024)
Manuel Ferreira Junior, Jessica T. S. Reinaldo, Telmo de Menezes e Silva Filho, Eufrasio A. Lima Neto, Ricardo B. C. Prudêncio
-IRT with Enhanced Discrimination Estimation. CoRR (2023)
Telmo de Menezes e Silva Filho, Hao Song, Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Meelis Kull, Peter A. Flach
Classifier calibration: a survey on how to assess and improve predicted class probabilities. Mach. Learn. 112 (9) (2023)
Lucas Fernandes Lucena, Telmo de Menezes e Silva Filho, Thaís Gaudencio do Rêgo, Yuri Malheiros
Automatic Recognition of Units of Measurement in Product Descriptions from Tax Invoices Using Neural Networks. PROPOR (2022)
Chaina Santos Oliveira, João V. C. Moraes, Telmo de Menezes e Silva Filho, Ricardo B. C. Prudêncio
A two-level Item Response Theory model to evaluate speech synthesis and recognition. Speech Commun. 137 (2022)
Ricardo B. C. Prudêncio, Telmo de Menezes e Silva Filho
Explaining Learning Performance with Local Performance Regions and Maximally Relevant Meta-Rules. BRACIS (1) (2022)
João V. C. Moraes, Jessica T. S. Reinaldo, Manuel Ferreira Junior, Telmo de Menezes e Silva Filho, Ricardo B. C. Prudêncio
Evaluating regression algorithms at the instance level using item response theory. Knowl. Based Syst. 240 (2022)
Humberto Navarro de Carvalho, Lucas Pontes Castro, Thaís Gaudencio do Rêgo, Telmo de Menezes e Silva Filho, Yuri de A. M. Barbosa, Leonardo Vidal Batista, Amílcar Soares, Vinicius Prado da Fonseca
Evaluating Data Representations for Object Recognition During Pick-and-Place Manipulation Tasks. SysCon (2022)
Marília Lima, Manoel Alves de Almeida Neto, Telmo de Menezes e Silva Filho, Roberta A. de A. Fagundes
Learning Under Concept Drift for Regression - A Systematic Literature Review. IEEE Access 10 (2022)
Lucca R. Peregrino, Jordy V. Gomes, Thaís Gaudencio do Rêgo, Yuri de A. M. Barbosa, Telmo de Menezes e Silva Filho, Andrew D. A. Maidment, Bruno Barufaldi
Automatic Segmentation of Mammary Tissue using Computer Simulations of Breast Phantoms and Deep-learning Techniques. BIOSIGNALS (2021)
Telmo de Menezes e Silva Filho, Hao Song, Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Meelis Kull, Peter A. Flach
Classifier Calibration: How to assess and improve predicted class probabilities: a survey. CoRR (2021)
Itamar Rocha Filho, João Pedro Vasconcelos Teixeira, João Wallace Lucena Lins, Felipe Honorato de Sousa, Ana Clara Chaves Sousa, Manuel Ferreira Junior, Thaís Ramos, Cecília Silva, Thaís Gaudencio do Rêgo, Yuri de Almeida Malheiros, Telmo de Menezes e Silva Filho
Iris-CV: Classifying Iris Flowers Is Not as Easy as You Thought. BRACIS (2) (2021)
Marília Lima, Telmo de Menezes e Silva Filho, Roberta Fagundes
A Comparative Study on Concept Drift Detectors for Regression. BRACIS (1) (2021)
Leandro Carlos de Souza, Bruno A. Pimentel, Telmo de Menezes e Silva Filho, Renata M. C. R. de Souza
Kohonen map-wise regression applied to interval data. Knowl. Based Syst. 224 (2021)
João V. C. Moraes, Jessica T. S. Reinaldo, Ricardo B. C. Prudêncio, Telmo de Menezes e Silva Filho
Item Response Theory for Evaluating Regression Algorithms. IJCNN (2020)
Yu Chen, Telmo de Menezes e Silva Filho, Ricardo B. C. Prudêncio, Tom Diethe, Peter A. Flach
$β^3$-IRT: A New Item Response Model and its Applications. AISTATS (2019)
Meelis Kull, Miquel Perelló-Nieto, Markus Kängsepp, Telmo de Menezes e Silva Filho, Hao Song, Peter A. Flach
Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration. CoRR (2019)
Meelis Kull, Miquel Perelló-Nieto, Markus Kängsepp, Telmo de Menezes e Silva Filho, Hao Song, Peter A. Flach
Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with Dirichlet calibration. NeurIPS (2019)
Maria Priscila Da Silva Souza, Telmo de Menezes e Silva Filho, Getúlio José Amorim do Amaral, Renata Maria Cardoso Rodrigues De Souza
Investigating different fitness criteria for swarm-based clustering. Int. J. Bus. Intell. Data Min. 15 (1) (2019)
Yu Chen, Telmo de Menezes e Silva Filho, Ricardo B. C. Prudêncio, Tom Diethe, Peter A. Flach
-IRT: A New Item Response Model and its Applications. CoRR (2019)
Marcus C. Araújo, Renata M. C. R. Souza, Rita C. F. Lima, Telmo de Menezes e Silva Filho
An interval prototype classifier based on a parameterized distance applied to breast thermographic images. Medical Biol. Eng. Comput. 55 (6) (2017)
Meelis Kull, Telmo de Menezes e Silva Filho, Peter A. Flach
Beta calibration: a well-founded and easily implemented improvement on logistic calibration for binary classifiers. AISTATS (2017)
Leandro Carlos de Souza, Renata M. C. R. Souza, Getúlio J. A. Amaral, Telmo de Menezes e Silva Filho
A parametrized approach for linear regression of interval data. Knowl. Based Syst. 131 (2017)
Telmo de Menezes e Silva Filho, Renata M. C. R. Souza, Ricardo B. C. Prudêncio
A swarm-trained k-nearest prototypes adaptive classifier with automatic feature selection for interval data. Neural Networks 80 (2016)
Miquel Perelló-Nieto, Telmo de Menezes e Silva Filho, Meelis Kull, Peter A. Flach
Background Check: A General Technique to Build More Reliable and Versatile Classifiers. ICDM (2016)
Telmo de Menezes e Silva Filho, Bruno A. Pimentel, Renata M. C. R. Souza, Adriano L. I. Oliveira
Hybrid methods for fuzzy clustering based on fuzzy c-means and improved particle swarm optimization. Expert Syst. Appl. 42 (17-18) (2015)
Telmo de Menezes e Silva Filho, Renata M. C. R. Souza
Fuzzy learning vector quantization approaches for interval data. FUZZ-IEEE (2013)
Telmo de Menezes e Silva Filho, Renata Maria Cardoso R. de Souza
A Weighted Learning Vector Quantization Approach for Interval Data. ICONIP (3) (2012)
Telmo de Menezes e Silva Filho, Renata M. C. R. de Souza
Pattern classifiers with adaptive distances. IJCNN (2011)
Renata M. C. R. de Souza, Telmo de Menezes e Silva Filho
Optimized Learning Vector Quantization Classifier with an Adaptive Euclidean Distance. ICANN (1) (2009)