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ORCIDTelmo 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
- 2025
[j20]Alex O. Davies
, Nirav S. Ajmeri, Telmo de Menezes e Silva Filho:
A Comparative Study of GNNs and Rule-Based Methods for Synthetic Social Network Generation. IEEE Access 13: 32198-32210 (2025)- [j19]Riku Green, Grant Stevens, Zahraa S. Abdallah, Telmo de Menezes e Silva Filho:
Stratify: unifying multi-step forecasting strategies. Data Min. Knowl. Discov. 39(5): 64 (2025) - [j18]Helen Sheehan, Daniel J. Poole, Telmo de Menezes e Silva Filho, Ervin Bossanyi, Lars Landberg:
Investigations into deep Reinforcement Learning for wind farm set-point optimisation. Expert Syst. Appl. 282: 127627 (2025) - [j17]João Luiz Junho Pereira, Alfredo Antonio Alencar Exposito de Queiroz, Telmo de Menezes e Silva Filho, Ana Carolina Lorena, Rafael Gomes Mantovani, Gisele Lobo Pappa, Ricardo Bastos Cavalcante Prudêncio:
Novel applications of item response theory for analysing data set complexity and benchmark selection. Mach. Learn. 114(10): 222 (2025) - [j16]Manuel Ferreira Junior, Eufrásio de Andrade Lima Neto, Marcelo Rodrigo Portela Ferreira, Telmo de Menezes e Silva Filho, Ricardo B. C. Prudêncio:
CLAIRE: clustering evaluation based on item response theory and model agreement. Mach. Learn. 114(11): 256 (2025) - [i14]Alex O. Davies, Nirav S. Ajmeri, Telmo de Menezes e Silva Filho:
A Metric for the Balance of Information in Graph Learning. CoRR abs/2501.19137 (2025) - [i13]Gabriel A. B. do Nascimento, Vincent Dong, Guilherme J. Cavalcante, Alex Nguyen, Thaís Gaudencio do Rêgo, Yuri Malheiros, Telmo de Menezes e Silva Filho, Carla R. Zeballos Torrez, James C. Gee, Annemarie McCarthy, Andrew D. A. Maidment, Bruno Barufaldi:
Toward a robust lesion detection model in breast DCE-MRI: adapting foundation models to high-risk women. CoRR abs/2509.02710 (2025) - [i12]Guanxiong Sun, Majid Mirmehdi, Zahraa S. Abdallah, Raúl Santos-Rodríguez, Ian Craddock, Telmo de Menezes e Silva Filho:
TACTFL: Temporal Contrastive Training for Multi-modal Federated Learning with Similarity-guided Model Aggregation. CoRR abs/2509.17532 (2025) - [i11]Alex O. Davies, Roussel Desmond Nzoyem, Nirav Ajmeri, Telmo de Menezes e Silva Filho:
Language Models Do Not Embed Numbers Continuously. CoRR abs/2510.08009 (2025) - [i10]Riku Green, Huw Day, Zahraa S. Abdallah, Telmo de Menezes e Silva Filho:
Epistemic Error Decomposition for Multi-step Time Series Forecasting: Rethinking Bias-Variance in Recursive and Direct Strategies. CoRR abs/2511.11461 (2025) - [i9]Guilherme J. Cavalcante, José Gabriel A. Moreira, Gabriel A. B. do Nascimento, Vincent Dong, Alex Nguyen, Thaís Gaudencio do Rêgo, Yuri Malheiros, Telmo de Menezes e Silva Filho, Carla R. Zeballos Torrez, James C. Gee, Annemarie McCarthy, Andrew D. A. Maidment, Bruno Barufaldi:
Toward explainable AI approaches for breast imaging: adapting foundation models to diverse populations. CoRR abs/2511.17828 (2025) - 2024
- [j15]Patrícia Drapal, Ricardo B. C. Prudêncio, Telmo de Menezes e Silva Filho:
Towards explainable evaluation: Explaining predicted performance using local performance regions. Appl. Soft Comput. 167: 112351 (2024) - [j14]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) - [j13]Delmiro D. Sampaio Neto, Telmo de Menezes e Silva Filho, Renata M. C. R. Souza:
Recommendation systems with user and item profiles based on symbolic modal data. Neural Comput. Appl. 36(35): 22315-22333 (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) - [c17]Patrícia Drapal, Telmo de Menezes e Silva Filho, Ricardo B. C. Prudêncio:
Meta-Learning and Novelty Detection for Machine Learning with Reject Option. IJCNN 2024: 1-8 - [c16]Ricardo B. C. Prudêncio, Ana Carolina Lorena, Telmo de Menezes e Silva Filho, Patrícia Drapal, Maria Gabriela Valeriano:
Assessor Models for Explaining Instance Hardness in Classification Problems. IJCNN 2024: 1-8 - [i8]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) - [i7]Riku Green, Grant Stevens, Zahraa Said Abdallah, Telmo de Menezes e Silva Filho:
Stratify: Unifying Multi-Step Forecasting Strategies. CoRR abs/2412.20510 (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) - [i6]Manuel Ferreira Junior, Jessica T. S. Reinaldo, Telmo de Menezes e Silva Filho, Eufrásio de A. Lima Neto, Ricardo B. C. Prudêncio:
β4-IRT: A New β3-IRT with Enhanced Discrimination Estimation. CoRR abs/2303.17731 (2023) - [i5]Alex O. Davies, Nirav S. Ajmeri, Telmo de Menezes e Silva Filho:
Hierarchical GNNs for Large Graph Generation. CoRR abs/2306.11412 (2023) - [i4]Alex O. Davies, Riku W. Green, Nirav S. Ajmeri, Telmo de Menezes e Silva Filho:
Its All Graph To Me: Foundational Topology Models with Contrastive Learning on Multiple Domains. CoRR abs/2311.03976 (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: Ricardo Bastos Cavalcante Prudêncio
aka: Renata Maria Cardoso R. de Souza
aka: Renata M. C. R. Souza
aka: Renata Maria Cardoso Rodrigues De Souza
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