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Telmo de Menezes e Silva Filho
Person information
- affiliation: University of Bristol, UK
- affiliation: Federal University of Pernambuco, Recife, Brazil
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2020 – today
- 2024
- [j13]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): 941-954 (2024) - [j12]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: 110494 (2024) - [i5]Riku Green, Grant Stevens, Telmo de Menezes e Silva Filho, Zahraa S. Abdallah:
Time-Series Classification for Dynamic Strategies in Multi-Step Forecasting. CoRR abs/2402.08373 (2024) - 2023
- [j11]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): 3211-3260 (2023) - [j10]Flávia R. S. Brasileiro, Delmiro D. Sampaio Neto, Telmo de Menezes e Silva Filho, Renata M. C. R. de Souza
, Marcus C. de Araújo:
Classifying breast lesions in Brazilian thermographic images using convolutional neural networks. Neural Comput. Appl. 35(26): 18989-18997 (2023) - [i4]Manuel Ferreira Junior, Jessica T. S. Reinaldo, Telmo de Menezes e Silva Filho, Eufrasio A. Lima Neto, Ricardo B. C. Prudêncio:
β4-IRT: A New β3-IRT with Enhanced Discrimination Estimation. CoRR abs/2303.17731 (2023) - 2022
- [j9]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: 45410-45429 (2022) - [j8]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: 108076 (2022) - [j7]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: 19-34 (2022) - [c15]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: 550-564 - [c14]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: 156-165 - [c13]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: 1-6 - 2021
- [j6]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: 107091 (2021) - [c12]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: 252-259 - [c11]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: 254-264 - [c10]Marília Lima
, Telmo de Menezes e Silva Filho, Roberta Fagundes
:
A Comparative Study on Concept Drift Detectors for Regression. BRACIS (1) 2021: 390-405 - [i3]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 abs/2112.10327 (2021) - 2020
- [c9]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: 1-8
2010 – 2019
- 2019
- [j5]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): 117-131 (2019) - [c8]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: 1013-1021 - [c7]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: 12295-12305 - [i2]Yu Chen, Telmo de Menezes e Silva Filho, Ricardo B. C. Prudêncio, Tom Diethe
, Peter A. Flach:
β3-IRT: A New Item Response Model and its Applications. CoRR abs/1903.04016 (2019) - [i1]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 abs/1910.12656 (2019) - 2017
- [j4]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: 149-159 (2017) - [j3]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): 873-884 (2017) - [c6]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: 623-631 - 2016
- [j2]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: 19-33 (2016) - [c5]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: 1143-1148 - 2015
- [j1]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): 6315-6328 (2015) - 2013
- [c4]Telmo de Menezes e Silva Filho, Renata M. C. R. Souza
:
Fuzzy learning vector quantization approaches for interval data. FUZZ-IEEE 2013: 1-8 - 2012
- [c3]Telmo de Menezes e Silva Filho, Renata Maria Cardoso R. de Souza:
A Weighted Learning Vector Quantization Approach for Interval Data. ICONIP (3) 2012: 504-511 - 2011
- [c2]Telmo de Menezes e Silva Filho, Renata M. C. R. de Souza
:
Pattern classifiers with adaptive distances. IJCNN 2011: 1508-1514
2000 – 2009
- 2009
- [c1]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: 799-806
Coauthor Index
aka: Renata Maria Cardoso R. de Souza
aka: Renata M. C. R. Souza
aka: Renata Maria Cardoso Rodrigues De Souza
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last updated on 2024-07-20 20:30 CEST by the dblp team
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