Publications

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.