Telmo de Menezes e Silva Filho

54 papers A* 3A 2B 5Journal 36Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Continual learning and refinement of causal models through dynamic predicate invention. CoRR Enrique Crespo-Fernandez, Oliver Ray, Telmo de Menezes e Silva Filho, Peter Flach
2026	J	`jnl`	LEMON: Local Explanations via Modality-aware OptimizatioN. CoRR Yu Qin, Phillip Sloan, Raúl Santos-Rodríguez, Majid Mirmehdi, Telmo de Menezes e Silva Filho
2026	A*	`conf`	Language Models Do Not Embed Numbers Continuously (Student Abstract). AAAI Alex Davies, Roussel Desmond Nzoyem Ngueguin, Nirav Ajmeri, Telmo de Menezes e Silva Filho
2025	J	`jnl`	A Comparative Study of GNNs and Rule-Based Methods for Synthetic Social Network Generation. IEEE Access Alex O. Davies, Nirav S. Ajmeri, Telmo de Menezes e Silva Filho
2025	J	`jnl`	A Metric for the Balance of Information in Graph Learning. CoRR Alex O. Davies, Nirav S. Ajmeri, Telmo de Menezes e Silva Filho
2025	J	`jnl`	CLAIRE: clustering evaluation based on item response theory and model agreement. Mach. Learn. Manuel Ferreira Junior, Eufrásio de Andrade Lima Neto, Marcelo Rodrigo Portela Ferreira, Telmo de Menezes e Silva Filho, Ricardo B. C. Prudêncio
2025	J	`jnl`	Epistemic Error Decomposition for Multi-step Time Series Forecasting: Rethinking Bias-Variance in Recursive and Direct Strategies. CoRR Riku Green, Huw Day, Zahraa S. Abdallah, Telmo de Menezes e Silva Filho
2025	J	`jnl`	Investigations into deep Reinforcement Learning for wind farm set-point optimisation. Expert Syst. Appl. Helen Sheehan, Daniel J. Poole, Telmo de Menezes e Silva Filho, Ervin Bossanyi, Lars Landberg
2025	J	`jnl`	Language Models Do Not Embed Numbers Continuously. CoRR Alex O. Davies, Roussel Desmond Nzoyem, Nirav Ajmeri, Telmo de Menezes e Silva Filho
2025	J	`jnl`	Novel applications of item response theory for analysing data set complexity and benchmark selection. Mach. Learn. 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
2025	J	`jnl`	Stratify: unifying multi-step forecasting strategies. Data Min. Knowl. Discov. Riku Green, Grant Stevens, Zahraa S. Abdallah, Telmo de Menezes e Silva Filho
2025	J	`jnl`	TACTFL: Temporal Contrastive Training for Multi-modal Federated Learning with Similarity-guided Model Aggregation. CoRR Guanxiong Sun, Majid Mirmehdi, Zahraa S. Abdallah, Raúl Santos-Rodríguez, Ian Craddock, Telmo de Menezes e Silva Filho
2025	J	`jnl`	Toward a robust lesion detection model in breast DCE-MRI: adapting foundation models to high-risk women. CoRR 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
2025	J	`jnl`	Toward explainable AI approaches for breast imaging: adapting foundation models to diverse populations. CoRR 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
2024	J	`jnl`	Assessment of volumetric dense tissue segmentation in tomosynthesis using deep virtual clinical trials. Pattern Recognit. 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
2024	B	`conf`	Assessor Models for Explaining Instance Hardness in Classification Problems. IJCNN Ricardo B. C. Prudêncio, Ana Carolina Lorena, Telmo de Menezes e Silva Filho, Patrícia Drapal, Maria Gabriela Valeriano
2024	B	`conf`	Meta-Learning and Novelty Detection for Machine Learning with Reject Option. IJCNN Patrícia Drapal, Telmo de Menezes e Silva Filho, Ricardo B. C. Prudêncio
2024	J	`jnl`	Recommendation systems with user and item profiles based on symbolic modal data. Neural Comput. Appl. Delmiro D. Sampaio Neto, Telmo de Menezes e Silva Filho, Renata M. C. R. Souza
2024	J	`jnl`	Sighted particles: improving swarm optimization by making particles aware of their surroundings. Evol. Intell. 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
2024	J	`jnl`	Stratify: Unifying Multi-Step Forecasting Strategies. CoRR Riku Green, Grant Stevens, Zahraa Said Abdallah, Telmo de Menezes e Silva Filho
2024	J	`jnl`	Time-Series Classification for Dynamic Strategies in Multi-Step Forecasting. CoRR Riku Green, Grant Stevens, Telmo de Menezes e Silva Filho, Zahraa S. Abdallah
2024	J	`jnl`	Towards explainable evaluation: Explaining predicted performance using local performance regions. Appl. Soft Comput. Patrícia Drapal, Ricardo B. C. Prudêncio, Telmo de Menezes e Silva Filho
2023	J	`jnl`	Classifier calibration: a survey on how to assess and improve predicted class probabilities. Mach. Learn. Telmo de Menezes e Silva Filho, Hao Song, Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Meelis Kull, Peter A. Flach
2023	J	`jnl`	Classifying breast lesions in Brazilian thermographic images using convolutional neural networks. Neural Comput. Appl. Flávia R. S. Brasileiro, Delmiro D. Sampaio Neto, Telmo de Menezes e Silva Filho, Renata M. C. R. de Souza, Marcus C. de Araújo
2023	J	`jnl`	Hierarchical GNNs for Large Graph Generation. CoRR Alex O. Davies, Nirav S. Ajmeri, Telmo de Menezes e Silva Filho
2023	J	`jnl`	Its All Graph To Me: Foundational Topology Models with Contrastive Learning on Multiple Domains. CoRR Alex O. Davies, Riku W. Green, Nirav S. Ajmeri, Telmo de Menezes e Silva Filho
2023	J	`jnl`	β CoRR Manuel Ferreira Junior, Jessica T. S. Reinaldo, Telmo de Menezes e Silva Filho, Eufrásio de A. Lima Neto, Ricardo B. C. Prudêncio
2022	J	`jnl`	A two-level Item Response Theory model to evaluate speech synthesis and recognition. Speech Commun. Chaina Santos Oliveira, João V. C. Moraes, Telmo de Menezes e Silva Filho, Ricardo B. C. Prudêncio
2022	—	`conf`	Automatic Recognition of Units of Measurement in Product Descriptions from Tax Invoices Using Neural Networks. PROPOR Lucas Fernandes Lucena, Telmo de Menezes e Silva Filho, Thaís Gaudencio do Rêgo, Yuri Malheiros
2022	—	`conf`	Evaluating Data Representations for Object Recognition During Pick-and-Place Manipulation Tasks. SysCon 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
2022	J	`jnl`	Evaluating regression algorithms at the instance level using item response theory. Knowl. Based Syst. João V. C. Moraes, Jessica T. S. Reinaldo, Manuel Ferreira Junior, Telmo de Menezes e Silva Filho, Ricardo B. C. Prudêncio
2022	—	`conf`	Explaining Learning Performance with Local Performance Regions and Maximally Relevant Meta-Rules. BRACIS (1) Ricardo B. C. Prudêncio, Telmo de Menezes e Silva Filho
2022	J	`jnl`	Learning Under Concept Drift for Regression - A Systematic Literature Review. IEEE Access Marília Lima, Manoel Alves de Almeida Neto, Telmo de Menezes e Silva Filho, Roberta A. de A. Fagundes
2021	—	`conf`	A Comparative Study on Concept Drift Detectors for Regression. BRACIS (1) Marília Lima, Telmo de Menezes e Silva Filho, Roberta Fagundes
2021	—	`conf`	Automatic Segmentation of Mammary Tissue using Computer Simulations of Breast Phantoms and Deep-learning Techniques. BIOSIGNALS 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
2021	J	`jnl`	Classifier Calibration: How to assess and improve predicted class probabilities: a survey. CoRR Telmo de Menezes e Silva Filho, Hao Song, Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Meelis Kull, Peter A. Flach
2021	—	`conf`	Iris-CV: Classifying Iris Flowers Is Not as Easy as You Thought. BRACIS (2) 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
2021	J	`jnl`	Kohonen map-wise regression applied to interval data. Knowl. Based Syst. Leandro Carlos de Souza, Bruno A. Pimentel, Telmo de Menezes e Silva Filho, Renata M. C. R. de Souza
2020	B	`conf`	Item Response Theory for Evaluating Regression Algorithms. IJCNN João V. C. Moraes, Jessica T. S. Reinaldo, Ricardo B. C. Prudêncio, Telmo de Menezes e Silva Filho
2019	A	`conf`	$β^3$-IRT: A New Item Response Model and its Applications. AISTATS Yu Chen, Telmo de Menezes e Silva Filho, Ricardo B. C. Prudêncio, Tom Diethe, Peter A. Flach
2019	A*	`conf`	Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with Dirichlet calibration. NeurIPS Meelis Kull, Miquel Perelló-Nieto, Markus Kängsepp, Telmo de Menezes e Silva Filho, Hao Song, Peter A. Flach
2019	J	`jnl`	Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration. CoRR Meelis Kull, Miquel Perelló-Nieto, Markus Kängsepp, Telmo de Menezes e Silva Filho, Hao Song, Peter A. Flach
2019	J	`jnl`	Investigating different fitness criteria for swarm-based clustering. Int. J. Bus. Intell. Data Min. Maria Priscila Da Silva Souza, Telmo de Menezes e Silva Filho, Getúlio José Amorim do Amaral, Renata Maria Cardoso Rodrigues De Souza
2019	J	`jnl`	β CoRR Yu Chen, Telmo de Menezes e Silva Filho, Ricardo B. C. Prudêncio, Tom Diethe, Peter A. Flach
2017	J	`jnl`	A parametrized approach for linear regression of interval data. Knowl. Based Syst. Leandro Carlos de Souza, Renata M. C. R. Souza, Getúlio J. A. Amaral, Telmo de Menezes e Silva Filho
2017	J	`jnl`	An interval prototype classifier based on a parameterized distance applied to breast thermographic images. Medical Biol. Eng. Comput. Marcus C. Araújo, Renata M. C. R. Souza, Rita C. F. Lima, Telmo de Menezes e Silva Filho
2017	A	`conf`	Beta calibration: a well-founded and easily implemented improvement on logistic calibration for binary classifiers. AISTATS Meelis Kull, Telmo de Menezes e Silva Filho, Peter A. Flach
2016	J	`jnl`	A swarm-trained k-nearest prototypes adaptive classifier with automatic feature selection for interval data. Neural Networks Telmo de Menezes e Silva Filho, Renata M. C. R. Souza, Ricardo B. C. Prudêncio
2016	A*	`conf`	Background Check: A General Technique to Build More Reliable and Versatile Classifiers. ICDM Miquel Perelló-Nieto, Telmo de Menezes e Silva Filho, Meelis Kull, Peter A. Flach
2015	J	`jnl`	Hybrid methods for fuzzy clustering based on fuzzy c-means and improved particle swarm optimization. Expert Syst. Appl. Telmo de Menezes e Silva Filho, Bruno A. Pimentel, Renata M. C. R. Souza, Adriano L. I. Oliveira
2013	B	`conf`	Fuzzy learning vector quantization approaches for interval data. FUZZ-IEEE Telmo de Menezes e Silva Filho, Renata M. C. R. Souza
2012	—	`conf`	A Weighted Learning Vector Quantization Approach for Interval Data. ICONIP (3) Telmo de Menezes e Silva Filho, Renata Maria Cardoso R. de Souza
2011	B	`conf`	Pattern classifiers with adaptive distances. IJCNN Telmo de Menezes e Silva Filho, Renata M. C. R. de Souza
2009	—	`conf`	Optimized Learning Vector Quantization Classifier with an Adaptive Euclidean Distance. ICANN (1) Renata M. C. R. de Souza, Telmo de Menezes e Silva Filho