Publicações

2023

SILVA FILHO, TELMO; SONG, HAO; PERELLO-NIETO, MIQUEL; SANTOS-RODRIGUEZ, RAUL; KULL, MEELIS; FLACH, PETER. Classifier calibration: a survey on how to assess and improve predicted class probabilities. MACHINE LEARNING, v. 112, p. 3211-3260, 2023.
BRASILEIRO, FLÁVIA R.S.; SAMPAIO NETO, DELMIRO D.; SILVA FILHO, Telmo M.; SOUZA, RENATA M.C.R. ; ARAÚJO, MARCUS C. Classifying breast lesions in Brazilian thermographic images using convolutional neural networks. NEURAL COMPUTING & APPLICATIONS, v. 35, p. 18989-18997, 2023.
BRITO NETO, E. P. ; REGO, T. G. ; MALHEIROS, Y ; SILVA FILHO, T. M. E. . Evaluating Deep Learning-based Chess-Engine Endgame Strategies. In: SBGames, 2023, Rio Grande. Anais do SBGames 2023, 2023.
SOUSA, A. C. C. ; SILVA FILHO, T. M. E. ; MALHEIROS, Yuri ; REGO, T. G. . Comparing Gradient Boosting Algorithms to Forecast Sales in Retail. In: XX Encontro Nacional de Inteligência Artificial e Computacional, 2023, Belo Horizonte. Anais do XX Encontro Nacional de Inteligência Artificial e Computacional, 2023.
BARUFALDI, BRUNO ; DA NOBREGA, YANN N. G. ; CARVALHAL, GIULIA ; TEIXEIRA, JOAO P. V. ; SILVA FILHO, TELMO M. ; DO REGO, THAIS G. ; MALHEIROS, Yuri ; ACCIAVATTI, RAYMOND J. ; MAIDMENT, ANDREW D. A. . Multiclass Segmentation of Breast Tissue and Suspicious Findings: A Simulation-Based Study for the Development of Self-Steering Tomosynthesis. Tomography, v. 9, p. 1120-1132, 2023.
BARUFALDI, BRUNO ; GOMES, JORDY ; REGO, THAIS G. DO ; MALHEIROS, Yuri ; FILHO, TELMO M. SILVA ; BORGES, LUCAS R. ; ACCIAVATTI, RAYMOND J. ; SURTI, SULEMAN ; MAIDMENT, ANDREW D. A. . Impact of Tomosynthesis Acquisition on 3D Segmentations of Breast Outline and Adipose/Dense Tissue with AI: A Simulation-Based Study. Tomography, v. 9, p. 1303-1314, 2023.

2022

PRUDENCIO, RICARDO B.C.; SILVA FILHO, T.M. Explaining Learning Performance with Local Performance Regions and Maximally Relevant Meta-Rules. In: Brazilian Conference on Intelligent Systems – BRACIS 2022, 2022, Campinas. Lecture Notes in Computer Science. Cham: Springer International Publishing. v. 13653. p. 550-564, 2022.
OLIVEIRA, CHAINA S.; MORAES, JOÃO V.C.; SILVA FILHO, TELMO; PRUDÊNCIO, RICARDO B.C. A two-level Item Response Theory model to evaluate speech synthesis and recognition. SPEECH COMMUNICATION, v. 137, p. 19-34, 2022.
MORAES, JOÃO V.C.; REINALDO, JÉSSICA T.S.; FERREIRA-JUNIOR, MANUEL; SILVA FILHO, TELMO; PRUDÊNCIO, RICARDO B.C. Evaluating regression algorithms at the instance level using item response theory. KNOWLEDGE-BASED SYSTEMS, v. 240, p. 108076, 2022.
IBRAHIM, ABDALLA; BARUFALDI, BRUNO; REFAEE, TURKEY; SILVA FILHO, Telmo M.; ACCIAVATTI, RAYMOND J.; SALAHUDDIN, ZOHAIB; HUSTINX, ROLAND; MOTTAGHY, FELIX M.; MAIDMENT, ANDREW D. A.; LAMBIN, PHILIPPE. MaasPenn Radiomics Reproducibility Score: A Novel Quantitative Measure for Evaluating the Reproducibility of CT-Based Handcrafted Radiomic Features. Cancers, v. 14, p. 1599, 2022.
LIMA, MARILIA; NETO, MANOEL; SILVA FILHO, TELMO; FAGUNDES, ROBERTA A.A. Learning Under Concept Drift for Regression-A Systematic Literature Review. IEEE Access, v. 10, p. 45410-45429, 2022.
SILVA, WAGNER J.F.; SILVA FILHO, Telmo M.; SAMPAIO-NETO, DELMIRO D.; SOUZA, RENATA M.C.R.; OLIVEIRA, ADRIANO L.I.; CYSNEIROS, FRANCISCO J.A. Sighted particles: improving swarm optimization by making particles aware of their surroundings. Evolutionary Intelligence, v. 1, p. 1-14, 2022.
DE ANDRADE E SILVA, ARNALDO GUALBERTO ; GOMES, HERMAN MARTINS ; BATISTA, L. V. A collaborative deep multitask learning network for face image compliance to ISO/IEC 19794-5 standard. EXPERT SYSTEMS WITH APPLICATIONS, v. 198, p. 116756, 2022. Acesso livre até 05/05/2022 em https://authors.elsevier.com/c/1elVl3PiGTLnWo
BATISTA, L.V. Turbidity classification of the Paraopeba River using machine learning and Sentinel-2 images. IEEE Latin America Transactions, v. 20, p. 799-805, 2022.
CARVALHO, H. N. ; CASTRO, L. P. ; REGO, T. G. ; SILVA FILHO, T. M. E. ; MALHEIROS, Y ; BATISTA, L. V. ; SOARES JUNIOR, A. ; FONSECA, V. P. . Evaluating Data Representations for Object Recognition During Pick-and-Place Manipulation Tasks. In: 2022 IEEE International Systems Conference, 2022, Montreal. 2022 IEEE International Systems Conference, 2022.
LIMA, G. F. A. B. ; OLIVEIRA, M. I. S. ; LOSCIO, B. F. . FASED: A Framework for Data Ecosystems Health Evaluation. Journal of Information and Data Management – JIDM, v. 13, p. 421, 2022.
LUCENA, L. F. ; SILVA FILHO, T. M. E. ; REGO, T. G. ; MALHEIROS, Y . Automatic Recognition of Units of Measurement in Product Descriptions from Tax Invoices Using Neural Networks. In: International Conference on Computational Processing of the Portuguese Language, 2022, Fortaleza. Computational Processing of the Portuguese Language, 2022.
TEIXEIRA, J. P. V. ; SILVA FILHO, T. M. E. ; REGO, T. G. ; MALHEIROS, Y ; DUSTLER, M. ; BAKIC, P. R. ; VENT, T. L. ; ACCIAVATTI, R. J. ; KRISHNAMOORTHY, S. ; SURTI, S. ; MAIDMENT, A. D. A. ; BARUFALDI, B. . Novel Perlin-Based Phantoms Using 3D Models of Compressed Breast Shapes and Fractal Noise. In: SPIE Medical Imaging, 2022, San Diego. SPIE Medical Imaging, 2022.

2021

PEREGRINO, LUCCA ; GOMES, JORDY ; G. DO RÊGO, THAÍS ; BARBOSA, YURI ; FILHO, TELMO ; MAIDMENT, ANDREW ; BARUFALDI, BRUNO . Automatic Segmentation of Mammary Tissue using Computer Simulations of Breast Phantoms and Deep-learning Techniques. In: 14th International Conference on Bioinspired Systems and Signal Processing, 2021, Online Streaming. Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021. p. 252.
MELO NETO, E.F. ; OLIVEIRA, GUSTAVO P. ; MAGALHAES, R. M. ; BATISTA, L. V. ; CABRAL, L. A. F. ; SANTOS, MOISES D. . Cumulative oil production in flow unit-crossing wells estimated by multilayer perceptron networks. Journal of Petroleum Exploration and Production, v. 1, p. 100-111, 2021.
ROCHA FILHO, I. P. ; TEIXEIRA, O. P. V. ; LINS, J. W. L. ; SOUSA, F. H. ; SOUSA, A. C. C. ; FERREIRA JUNIOR, M. ; RAMOS, T. ; REGO, T. G. ; MALHEIROS, Y; SILVA FILHO, T. M. E. . Iris-CV: Classifying Iris Flowers Is Not as Easy as You Thought. In: Brazilian Conference on Intelligent Systems, 2021, Online. Proceedings of the 10h Brazilian Conference on Intelligent Systems, 2021. p. 254-264.
CRUZ, A. C. S. ; REGO, T. G. ; SILVA FILHO, T. M. E. ; MALHEIROS, Y. League of Legends: An Application of Classification Algorithms to Verify the Prediction Importance of Main In-Game Variables. In: Simpósio Brasileiro de Jogos de Computador e Entretenimento Digital, 2021, Gramado. Proceedings of the XX Brazilian Symposium on Computer Games and Digital Entertainment, 2021.

2020

MORAES, JOAO V. C. ; REINALDO, JESSICA T. S. ; PRUDENCIO, RICARDO B. C. ; Silva Filho, Telmo M. . Item Response Theory for Evaluating Regression Algorithms. In: 2020 International Joint Conference on Neural Networks (IJCNN), 2020, Glasgow. 2020 International Joint Conference on Neural Networks (IJCNN), 2020. p. 1.
Bezerra do Ó, I.J. ; RÊGO, THAIS G. ; FARIAS, SÁVIO T. . The structural proteome for the primordial glycolysis/gluconeogenesis. GENETICS AND MOLECULAR RESEARCH, v. 19, p. GMR18699, 2020.
RAMOS, THAÍS A. R. ; MARACAJA-COUTINHO, VINICIUS ; ORTEGA, J. MIGUEL ; DO RÊGO, THAÍS G. . CORAZON: a web server for data normalization and unsupervised clustering based on expression profiles. BMC RESEARCH NOTES, v. 13, p. 1-7, 2020.
DA SILVA, DIEGO R. B. ; ARAUJO, TIAGO MARITAN U. ; RÊGO, THAIS GAUDENCIO DO ; BRANDÃO, MANUELLA ASCHOFF CAVALCANTI . A Two-Stream Model Based on 3D Convolutional Neural Networks for the Recognition of Brazilian Sign Language in the Health Context. In: WebMedia ’20: Brazillian Symposium on Multimedia and the Web, 2020, São Luís Brazil. Proceedings of the Brazilian Symposium on Multimedia and the Web. New York: ACM, 2020. p. 5.
COUTINHO, V. M. M. S. ; MALHEIROS, Y . Detecção de Mensagens Homofóbicas em Português no Twitter usando Análise de Sentimentos. In: Brazilian Workshop on Social Network Analysis and Mining, 2020. Anais do IX Brazilian Workshop on Social Network Analysis and Mining, 2020. p. 1-12.
DA SILVA, DIEGO R. B. ; ARAUJO, TIAGO MARITAN U.; RÊGO, THAIS GAUDENCIO DO ; BRANDÃO, MANUELLA ASCHOFF CAVALCANTI . A Two-Stream Model Based on 3D Convolutional Neural Networks for the Recognition of Brazilian Sign Language in the Health Context. In: WebMedia ’20: Brazillian Symposium on Multimedia and the Web, 2020, São Luís Brazil. Proceedings of the Brazilian Symposium on Multimedia and the Web. New York: ACM, 2020. p. 5.
Ratis, T ; Galindo, N.R.O. ; Arias-Carrasco, R. ; da Silva, C.F. ; Maracaja-Coutinho, V. ; RÊGO, THAIS G. . RNA mining: a machine learning stand-alone and web server tool for nucleotides coding potential prediction.. In: 1st Latin American Congress of Women in Bioinformatics and Data Science LA, 2020, Digital. 1st Latin American Congress of Women in Bioinformatics and Data Science LA, 2020.
SOUZA, JOSE FABRICIO L. ; SANTANA, GABRIEL L. ; BATISTA, L. V. ; OLIVEIRA, GUSTAVO P. ; ROEMERS, EDUARDO ; SANTOS, MOISES D. . CNN prediction enhancement by post-processing for hydrocarbon detection in seismic images. IEEE Access, v. 8, p. 1-1, 2020.

2019

ANDRADE, A. E. B. ; RÊGO, T. G. Abordagem de Aprendizagem de Máquina para Predição de Polimorfismos de Nucleotídeo Único com Potencial Oncogênico. VII Semana de Biociências e Biotecnologia em Saúde, 2019.
BELAN, A. ; CAMARGO, M. V. Z. ; PEREIRA, M. ; ASSIS FILHO, J. O. ; SANTOS, A. ; VIEIRA, S. F. ; RÊGO, T. G. ; FORLENZA, O. Monitoring Oculomotor Behavior During a Visual Inference Language Test: Contribution of Eyetracking Technology. Convenção Nacional dos Departamentos Científicos da Academia Brasileira de Neurologia, 2019.
CORREIA, S. E. B. ; MALHEIROS, Y ; NASCIMENTO, A. M. ; GOUVEIA, V. V. Human Values Classification in Social Network UsingMachine Learning. In: Encontro Nacional de Inteligência Artificial e Computacional, 2019, Salvador. XVI Encontro Nacional de Inteligência Artificial e Computacional, 2019.
LIMA, D. F. L. ; SALVADOR NETO, A. S. ; SANTOS, E. N. ; ARAÚJO, T. M. U. ; RÊGO, T. G. Using Convolutional Neural Networks for Fingerspelling Sign Recognition in Brazilian Sign Language. XXV Simpósio Brasileiro de Sistemas Multimídia e Web, 2019.
LOPES, M. K. S. ; SILVA, C. ; LIMA, L. ; LIMA, D. F. L. ; COSTA, B. MAGALHÃES, D. ; RODRIGUES, D. S. B. ; RÊGO, T. G. ; PERNAMBUCO, L. ; SANTOS, A. A Deep Learning Approach to Detect Hyoid Bone in Ultrasound Exam. 8th Brazilian Conference on Intelligent Systems, 2019.
OLIVEIRA, C. C. M. ; RÊGO, T. G. ; LIMA, M. A. C. B. ; ARAÚJO, T. M. U. Analysis of Rule-Based Machine Translation and Neural Machine Translation Approaches for Translating Portuguese to LIBRAS. XXV Simpósio Brasileiro de Sistemas Multimídia e Web, 2019.
DE OLIVEIRA, L. H. R. ; RÊGO, T. G ; DINIZ, J. A. Previsão de Valores de Aquisições Governamentais: O Uso dos Conceitos de Data Science e Machine Learning. XIX USP International Conference in Accounting, 2019.
DA SILVA, D. R. B. ; RÊGO, T. G. ; FRASCAROLI, B. F. Sovereign Risk Ratings’ Country Classification Using Machine Learning. II Encontro Brasileiro de Data Science, 2019.
SILVA, E. P. ; MALHEIROS, Y ; NUNES, R. T. A. ; ANTUNES, I. L. ; RÊGO, T. G. Um Conjunto de Dados Extraído do Twitter para Análise de Sentimentos na Língua Portuguesa. Symposium in Information and Human Language Technology, 2019, Salvador. Symposium in Information and Human Language Technology, 2019.
VERÍSSIMO, V. ; SILVA. C. ; HANAEL, V. ; MORAES, C. ; COSTA, R. ; ARAÚJO, T. M. U. ; LIMA, M. A. C. B. ; RÊGO, T. G. A Study on the Use of Sequence-to-Sequence Neural Networks for Automatic Translation of Brazilian Portuguese to LIBRAS. XXV Simpósio Brasileiro de Sistemas Multimídia e Web, 2019.
VIEIRA, S. F. S. ; RÊGO, T. G. ; ALBUQUERQUE, J. ROCHA, T. G. Soccer Match Statistics Predictor Using Machine Learning. 14th Women in Machine Learning Workshop, 2019.
WANDERLEY, V. ; VILLETH, L. ; CAMPOS, V. P. ; ARAÚJO, T. M. U. ; RÊGO, T. G. Identification of Speechless Intervals in Audio Tracks using Convolutional Neural Networks. XXV Simpósio Brasileiro de Sistemas Multimídia e Web, 2019.
SOUZA, MARIA PRISCILA DA SILVA ; FILHO, TELMO DE MENEZES E SILVA ; AMARAL, GETULIO JOSÉ AMORIM DO ; SOUZA, RENATA MARIA CARDOSO RODRIGUES DE . Investigating different fitness criteria for swarm-based clustering. International Journal of Business Intelligence and Data Mining, v. 15, p. 117, 2019.
Yu Chen ; Telmo Silva Filho ; Ricardo B. Prudencio ; Tom Diethe ; Peter Flach . β3 -IRT: A New Item Response Model and its Applications. In: The 22nd International Conference on Artificial Intelligence and Statistics, 2019, Naha, Okinawa, Japan. Proceedings of The 22nd International Conference on Artificial Intelligence and Statistics, 2019. v. 89. p. 1013-1021.
Kull, Meelis ; Perello Nieto, Miquel ; Kängsepp, Markus ; Silva Filho, Telmo M. ; Song, Hao ; Flach, Peter . Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with Dirichlet calibration. In: Neural Information Processing Systems 32 (NIPS 2019), 2019, Vancouver. Advances in Neural Information Processing Systems, 2019. v. 32. p. 12316-12326.