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Laboratório de Aplicações em Inteligência Artificial

Produção científica do ARIA

Publicações em conferências e periódicos nacionais e internacionais nas áreas de IA, NLP, Visão Computacional e Ciência de Dados.

Publicações 2025

  • ARAUJO, M. V. G. P. F. ; CARVALHO, L. H. F. ; MORI, I. R. ; SANTANA, M. B. B. ; COUTINHO, V. H. R. M. ; MALHEIROS, Y ; REGO, T. G. . Benchmarking and prompt engineering small-parameter LLMs for genomic annotation analysis. In: 21º Congresso Brasileiro de Bioinformática: X Meeting, 2025, João Pessoa. Anais do 21º Congresso Brasileiro de Bioinformática, 2025.
  • MELO, D. A. J. ; MEDEIROS, P. A. G. ; SCHMITT, L. ; SILVA FILHO, T. M. E. ; MALHEIROS, Y ; REGO, T. G. . Performance Analysis of a Convolutional Transformer-Based Automatic Chord Recognition Model for Extended Chord Qualities. In: Simpósio Brasileiro de Computação Musical, 2025, Campinas. 19th Brazilian Symposium on Computer Music, 2025.
  • CAVALCANTE, J. B. B. ; HSU, J. ; BATISTA, C. E. C. F. ; SILVA FILHO, T. M. E. ; REGO, T. G. ; MALHEIROS, Y . Representation Matters: An Evaluation of MEL, CQT, VQT, and MCQT for Beat Tracking. In: Simpósio Brasileiro de Computação Musical, 2025, Campinas. 19th Brazilian Symposium on Computer Music, 2025.
  • DIAS, G. H. M. ; REGO, T. G. ; MALHEIROS, Y . Style-Specific Diffusion for Architectural Classification: Enhancing Performance through Class-Adapted LoRA Augmentation. In: Brazilian Conference on Intelligent Systems, 2025, Fortaleza. Proceedings of the 35th Brazilian Conference on Intelligent Systems, 2025.
  • JORDAO, D. R. ; CAVALCANTE, J. B. B. ; CARVALHO, H. N. ; NUNES, Y. ; REGO, T. G. ; MALHEIROS, Y . HeroKeys: Um ambiente virtual gamificado para tocar e aprender piano. In: Simpósio Brasileiro de Sistemas Multimídia e Web, 2025, Rio de Janeiro. Anais do Simpósio Brasileiro de Sistemas Multimídia e Web, 2025.
  • MAIA, K. ; GOMES, L. ; VASCONCELOS, A. ; REGO, T. G. ; MALHEIROS, Y ; SILVA FILHO, T. M. E. ; OLIVEIRA, M. I. S. . Integrating Computer Vision into CACTO: A System for Fraud Prevention and Secure Transport Monitoring. In: Simpósio Brasileiro de Sistemas Multimídia e Web, 2025, Rio de Janeiro. Anais do Simpósio Brasileiro de Sistemas Multimídia e Web, 2025.
  • DA COSTA, DANIEL CABRAL ; BATISTA, LEONARDO VIDAL ; DA SILVA, RICHARDE MARQUES ; SANTOS, CELSO AUGUSTO GUIMARÃES . Real-Time Active Fire Detection in the Pantanal Biome, Brazil, Using Convolutional Neural Networks. FIRE TECHNOLOGY, v. 61, p. 22, 2025.
  • SILVA, E. S. ; AGUIAR, A. C. ; AGUIAR, YUSKA PAOLA COSTA ; OLIVEIRA, M. I. . Práticas de Garantia de Qualidade aplicadas ao CACTO: Desafios e Benefícios para Evolução do Software de Fiscalização do Trânsito de Mercadorias. In: Latin American Symposium on Digital Government, 2025, Maceió. Anais do XIII Latin American Symposium on Digital Government (LASDiGov 2025), 2025. p. 293-300.
  • MARTINS, MARIA EDUARDA ; AGUIAR, YUSKA ; SARAIVA, JULIANA . Assessment of Competences for LGPD DPO through ANPD Standard and Information Systems Curriculum. In: Simpósio Brasileiro de Sistemas de Informação, 2025, Brasil. Anais do XXI Simpósio Brasileiro de Sistemas de Informação (SBSI 2025), 2025. p. 565.

Publicações 2024

  • BARUFALDI, B. ; GOMES, J.V. ; SILVA FILHO, T.M. ; DO RÊGO, T.G. ; MALHEIROS, Y. ; VENT, T.L. ; GASTOUNIOTI, A. ; MAIDMENT, A.D.A. . Assessment of volumetric dense tissue segmentation in tomosynthesis using deep virtual clinical trials. PATTERN RECOGNITION, v. 153, p. 110494, 2024.
  • SOUSA, ANA CLARA CHAVES ; BARBOSA, YURI DE ALMEIDA MALHEIROS ; SILVA FILHO, TELMO DE MENEZES E ; RÊGO, THAÍS GAUDENCIO DO . Previsão de demanda de longo prazo aplicada a uma empresa do varejo de cosméticos utilizando o ProphetLong-term demand forecasting applied to a retail company using ProphetPrevisión de la demanda a largo plazo aplicada a una empresa minorista mediante Prophet. BRAZILIAN JOURNAL OF PRODUCTION ENGINEERING, v. 10, p. 372-383, 2024.
  • BARUFALDI, BRUNO ; CHOI, CHLOE J. ; TEIXEIRA, JOAO P. V. ; DUSTLER, MAGNUS ; ENGLANDER, RAPHAEL B. ; DO REGO, THAIS G. ; MALHEIROS, YURI B. ; SILVA FILHO, TELMO M. ; HOSSAIN, BELAYAT ; LEE, JUHUN ; MAIDMENT, ANDREW D. A. . Representation of complex mammary parenchyma texture in tomosynthesis using simplex noise simulations. In: Physics of Medical Imaging, 2024, San Diego. Medical Imaging 2024: Physics of Medical Imaging, 2024. p. 149.
  • ARAUJO, J. G. L. ; REGO, T. G. ; MALHEIROS, Y . Avaliação de Algoritmos de Clusterização para Agrupamento de Descrições de Produtos em Notas Fiscais Eletrônicas. In: Simpósio Brasileiro de Tecnologia da Informação e da Linguagem Humana (STIL), 2024, Belém. Anais do XV Simpósio Brasileiro de Tecnologia da Informação e da Linguagem Humana, 2024.
  • NOVA, S. V. ; LOSCIO, B. F. ; Oliveira, Marcelo Iury S. . Compartilhamento de Dados de Pesquisa: uma análise temática de fatores intervenientes. BRAZILIAN JOURNAL OF INFORMATION SCIENCE, v. 18, p. 1, 2024.
  • SANTOS, CELSO AUGUSTO GUIMARÃES ; DO NASCIMENTO, GLEYCIELLE RODRIGUES ; FREITAS, LUCCAS MATHEUS TORRES ; BATISTA, LEONARDO VIDAL ; ZEROUALI, BILEL ; MISHRA, MANORANJAN ; DA SILVA, RICHARDE MARQUES . Coastal evolution and future projections in Conde County, Brazil: A multi-decadal assessment via remote sensing and sea-level rise scenarios. SCIENCE OF THE TOTAL ENVIRONMENT, v. 915, p. 169829, 2024.
  • TEIXEIRA, ARIANE MARINA DE ALBUQUERQUE ; BATISTA, LEONARDO VIDAL ; SILVA, RICHARDE MARQUES DA ; FREITAS, LUCCAS MATHEUS TORRES ; SANTOS, CELSO AUGUSTO GUIMARÃES . Dynamic monitoring of surface area and water volume of reservoirs using satellite imagery, computer vision and deep learning. Remote Sensing Applications-Society And Environment, v. 35, p. 101205-101216, 2024.
  • DUARTE, EMANUEL FELIPE ; TOLEDO PALOMINO, PAULA ; PONTUAL FALCÃO, TACIANA ; PORTO, GRACE LIS PROENÇA MEIRELES BARRETO ; PORTELA, CARLOS DOS SANTOS ; RIBEIRO, DOUGLAS FRANCISCO ; NASCIMENTO, ANDRÉ ; COSTA AGUIAR, YUSKA PAOLA ; SOUZA, MAURÍCIO ; MOUTIN SEGORIA GASPAROTTO, ANGELITA ; MACIEL TODA, ARMANDO . GranDIHC-BR 2025-2035 - GC6: Implications of Artificial Intelligence in HCI: A Discussion on Paradigms Ethics and Diversity Equity and Inclusion. In: IHC 2024: XXIII Brazilian Symposium on Human Factors in Computing Systems, 2024, Brasília - DF RJ Brazil. Proceedings of the XXIII Brazilian Symposium on Human Factors in Computing Systems, 2024. p. 1-19.
  • AGUIAR, ANA CAROLINA ; MELO ALVES, LUCAS EDUARDO ; LIMA, PEDRO ; COSTA AGUIAR, YUSKA PAOLA ; MARITAN, TIAGO ; OMAIA, DERZU . Challenges and Lessons Learned to Improve the Deaf User Experience: Compliance with ABNT NBR 17060 Standard in Mobile Applications. In: IHC 2024: XXIII Brazilian Symposium on Human Factors in Computing Systems, 2024, Brasília - DF RJ Brazil. Proceedings of the XXIII Brazilian Symposium on Human Factors in Computing Systems. New York: ACM, 2024. p. 1.
  • SÁ, FELIPE MELO FELICIANO DE ; ALVES, LUCAS EDUARDO MELO ; AGUIAR, ANA CAROLINA ; Aguiar, Yuska Paola Costa . Theoretical test using Libras to obtain the National Driver's License: Exploratory usability assessment with interpreters and deaf people. In: IHC 2024: XXIII Brazilian Symposium on Human Factors in Computing Systems, 2024, Brasília - DF RJ Brazil. Proceedings of the XXIII Brazilian Symposium on Human Factors in Computing Systems. New York: ACM, 2024. p. 1.
  • MAIA, CAIO JORDAN DE LIMA ; Aguiar, Yuska Paola Costa . AI-Driven Acceptance Testing: first insights exploring the educational potential for test analysts. In: SBQS 2024: XXIII Brazilian Symposium on Software Quality, 2024, Salvador Bahia Brazil. Proceedings of the XXIII Brazilian Symposium on Software Quality. New York: ACM, 2024. p. 665.
  • COSTA, CAROLINA DE MELO ; Aguiar, Yuska Paola Costa ; DE SOUZA, LUIZ GUSTTAVO OLIVEIRA ; MORAIS, JAYANNE LAYSA CRUZ ; DA SILVEIRA, PEDRO ALVES . Card Game as an Educational Strategy in Software Testing: Debug a game to explore content on Levels and Types of Testing.. In: SBQS 2024: XXIII Brazilian Symposium on Software Quality, 2024, Salvador Bahia Brazil. Proceedings of the XXIII Brazilian Symposium on Software Quality. New York: ACM, 2024. p. 605.
  • NOVA, S. V. ; LOSCIO, B. F. ; Oliveira, Marcelo Iury S. . Compartilhamento de dados de pesquisa em saúde em tempos de crise: um framework proposto a partir da análise temática de fatores intervenientes. In: Iberian Conference on Information Systems and Technologies, 2024, Salamanca. Proceedings of 19th Iberian Conference on Information Systems and Technologies, 2024.
  • SOARES, V. O. ; SILVA, E. T. A. ; SILVA, P. A. A. ; BATISTA, L. V. ; REGIS, C. D. M. . Classification of diabetic retinopathy with different combinations of levels using Xception architecture. In: Congresso Brasileiro de Engenharia Biomédica, 2024, Ribeirão Preto. Anais CBEB 2024, 2024. v. 1.
  • SILVA NETO, J. V. ; NASCIMENTO, T. P. ; BATISTA, L. V. . Altitude Prediction Over Water Surface Using CNN Trained With Synthetic Images. In: XIX WORKSHOP ON COMPUTER VISION - WVC'24, 2024, Viçosa. Anais do XIX WORKSHOP ON COMPUTER VISION, 2024.
  • PAULINO, JOSÉ ALBERTO SOUZA ; GOMES, HERMAN MARTINS ; BATISTA, LEONARDO VIDAL ; LOPES, LEONARDO WANDERLEY . Analysis of Frequency Range Effect on the Detection of Voice Disorder Using Convolutional Neural Networks Trained on Spectogram Images. In: 2024 37th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2024, Manaus. 2024 37th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2024. p. 01-06.

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.
  • CAMPOS, VIRGÍNIA P. ; GONÇALVES, LUIZ M. G. ; RIBEIRO, WESNYDY L. ; ARAÚJO, TIAGO M. U. ; DO REGO, THAÍS G. ; FIGUEIREDO, PEDRO H. V. ; VIEIRA, SUANNY F. S. ; COSTA, THIAGO F. S. ; MORAES, CAIO C. ; CRUZ, ALEXANDRE C. S. ; ARAÚJO, FELIPE A. ; SOUZA FILHO, GUIDO L. . Machine Generation of Audio Description for Blind and Visually Impaired People. ACM TRANSACTIONS ON ACCESSIBLE COMPUTING (TACCESS), v. 16, p. 1-28, 2023.
  • RAMOS, THAÍS A. R. ; URQUIZA-ZURICH, SEBASTIÁN ; KIM, SOO YOUNG ; GILLETTE, THOMAS G. ; HILL, JOSEPH A. ; LAVANDERO, SERGIO ; DO RÊGO, THAÍS G. ; MARACAJA-COUTINHO, VINICIUS . Single-cell transcriptional landscape of long non-coding RNAs orchestrating mouse heart development. Cell Death & Disease, v. 14, p. 841, 2023.
  • DA SILVA, DIEGO R. B. ; DE ARAÚJO, TIAGO MARITAN U. ; DO RÊGO, THAÍS GAUDENCIO ; BRANDÃO, MANUELLA ASCHOFF CAVALCANTI ; GONÇALVES, LUIZ MARCOS GARCIA . A multiple stream architecture for the recognition of signs in Brazilian sign language in the context of health. MULTIMEDIA TOOLS AND APPLICATIONS, v. 83, p. 19767, 2023.
  • VERISSIMO, SANDOVAL ; GADELHA, GUILHERME ; BATISTA, LEONARDO ; JANDUY, JOÃO ; FALCÃO, FABIO . Transfer learning for face anti-spoofing detection. IEEE Latin America Transactions, v. 21, p. 530-536, 2023.
  • SILVA, J. R. C. A. ; AGUIAR, YUSKA PAOLA COSTA ; ARAUJO, T. M. U. . Crowdsourcing in the prioritization of accessibility and usability criteria for autism. In: Latin American Conference on Human Computer Interaction, 2023, Puebla. XI Latin American Conference on Human Computer Interaction (CLIHC 2023). New York: ACM, 2023.
  • REIS, L. S. ; ARAUJO, T. M. U. ; AGUIAR, YUSKA PAOLA COSTA ; LIMA, M. A. C. B. . A Multilevel Methodology to Assess the Quality of Machine Translators to Brazilian Sign Languages. In: Latin American Conference on Human Computer Interaction (CLIHC 2023), 2023, Puebla. XI Latin American Conference on Human Computer Interaction (CLIHC 2023). Nova York: ACM, 2023.
  • SILVA, JOÃO RAFAEL CHAVES DE ARAÚJO ; COSTA AGUIAR, YUSKA PAOLA ; DE ARAÚJO, TIAGO MARITAN UGULINO . Digital Resources suiting people on the Autism Spectrum: usability criteria prioritization through crowdsourcing. In: IHC '23: XXII Brazilian Symposium on Human Factors in Computing Systems, 2023, Maceió Brazil. Proceedings of the XXII Brazilian Symposium on Human Factors in Computing Systems. New York: ACM, 2023. p. 1.
  • ALMEIDA, FRANCISCO DAS C. F. ; AGUIAR, YUSKA P. C. ; MAGALHAES, RAFAEL M. . Você sabe diferenciar um resumo escrito por humanos do gerado pelo ChatGPT?. In: Workshop sobre Aspectos da Interação HumanoComputador na Web Social 2023, 2023, Brasil. Anais do XIV Workshop sobre Aspectos da Interação Humano-Computador na Web Social (WAIHCWS 2023), 2023. p. 72.
  • Costa, Yuska Paola; GODDE, ANAÏS ; TRÉMAUD, MAËLA ; PONTUAL, TACIANA ; ARCISZEWSKI, THOMAS ; TARDIF, CAROLE ; GALY, EDITH MARIE . A survey on accessibility guidelines for users with autism. In: IHC '22: XXI Brazilian Symposium on Human Factors in Computing Systems, 2022, Diamantina Brazil. Proceedings of the 21st Brazilian Symposium on Human Factors in Computing Systems, 2023. p. 1.
  • GADELHA, GUILHERME ; GOMES, HERMAN ; BATISTA, LEONARDO . Neural Architecture Search in the Context of Deep Multi-Task Learning. In: 18th International Conference on Computer Vision Theory and Applications, 2023, Lisbon. Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2023. v. 5. p. 684-691.

Publicações 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.
  • COSTA, G. A. ; AGUIAR, Y. P. C. ; SILVA, L. F. L. ; CARDINS, D. V. A. . Desenvolvimento e Avaliação de Usabilidade e Acessibilidade do Sonata: um Aplicativo Para Auxiliar Crianças Com Dislexia Auditiva. REVISTA BRASILEIRA DE INFORMÁTICA NA EDUCAÇÃO, v. 30, p. 136-157, 2022.
  • DA NOBREGA, YANN N. ; CARVALHAL, GIULIA ; TEIXEIRA, JOAO P. ; DE CAMARGO, BARBARA P. ; DO REGO, THAIS G. ; ALMEIDA, Yuri A. ; SILVA FILHO, TELMO M. ; VENT, TREVOR L. ; ACCIAVATTI, RAYMOND J. ; MAIDMENT, ANDREW D. ; BARUFALDI, BRUNO . Multiclass segmentation of suspicious findings in simulated breast tomosynthesis images using a U-Net. In: Sixteenth International Workshop on Breast Imaging, 2022, Leuven. 16th International Workshop on Breast Imaging (IWBI2022), 2022. p. 49.
  • MONTEIRO, FILIPE DE LIMA VAZ ; NASCIMENTO, ISABELLE MELO DO ; AMARAL NETO, JOSÉ ROCHA DO ; AGUIAR, YUSKA PAOLA COSTA ; VASCONCELOS, MICHAEL JONATHAN SILVA DE . Jogos Digitais e Usuários com Daltonismo: Como a Acessibilidade pode Afetar a Jogabilidade. In: Anais Estendidos do Simpósio Brasileiro de Jogos e Entretenimento Digital, 2022, Brasil. Anais Estendidos do XXI Simpósio Brasileiro de Jogos e Entretenimento Digital (SBGames Estendido 2022), 2022. p. 218.
  • AGUIAR, YUSKA PAOLA COSTA; DE A. CARDINS, DOUGLAS V. ; SARAIVA, JULIANA DE A. G. ; MARITAN, TIAGO ; DE ARAÚJO, JULIANA ARAGÃO . Towards accessibility for users with autism. In: IHC '22: XXI Brazilian Symposium on Human Factors in Computing Systems, 2022, Diamantina Brazil. Proceedings of the 21st Brazilian Symposium on Human Factors in Computing Systems. p. 1.
  • SILVA, LUCAS ; SARAIVA, JULIANA ; AGUIAR, YUSKA . Functional Suitability Assessment:. In: SBES 2022: XXXVI Brazilian Symposium on Software Engineering, 2022, Virtual Event Brazil. Proceedings of the XXXVI Brazilian Symposium on Software Engineering. New York: ACM, 2022. p. 208.
  • CUNHA, NAILSON DOS SANTOS ; GOMES, HERMAN MARTINS ; BATISTA, LEONARDO VIDAL . Residual M-net with Frequency-Domain Loss Function for Latent Fingerprint Enhancement. In: 2022 35th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2022, Natal. 2022 35th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2022. v. 1. p. 198-105.

Publicações 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.
  • DE FARIAS, SAVIO TORRES ; RÊGO, THAIS GAUDÊNCIO ; JOSÉ, MARCO V. . Origin of the 16S Ribosomal Molecule from Ancestor tRNAs. JOURNAL OF MOLECULAR EVOLUTION, v. 89, p. 249-256, 2021.
  • QUINTANS, ISADORA LOUISE ALVES DA COSTA RIBEIRO ; DE ARAÚJO, JOÃO VICTOR ALCOFORADO ; ROCHA, LÍVIA NOÊMIA MORAIS ; DE ANDRADE, ANNIE ELISABETH BELTRÃO ; DO RÊGO, THAÍS GAUDENCIO ; DEYHOLOS, MICHAEL K. . An overview of databases and bioinformatics tools for plant antimicrobial peptides. CURRENT PROTEIN & PEPTIDE SCIENCE, v. 23, p. 6, 2021.
  • B JUNIOR, O. O. ; AGUIAR, Y. P. C. ; MOURA, HERMANO PERRELLI . Taxonomia para Avaliação de Recursos Digitais de Aprendizagem ? TARDA ? Versão 2.0. RISTI (PORTO), v. 42, p. 120-136, 2021.
  • B JUNIOR, O. O. ; AGUIAR, Y. P. C. ; SOUZA, B. W. L. . Abordagens para Avaliação de Recursos Digitais de Aprendizagem: Uma Revisão Sistemática da Literatura. RISTI (PORTO), v. 43, p. 582-596, 2021.
  • PEREIRA, W. S. ; AGUIAR, Y. P. C. ; CYSNEIROS, GILBERTO . Diretrizes de Acessibilidade para Jogos Sérios Destinados aos Aprendizes no Espectro Autista. Anais do Simpósio Brasileiro de Informática na Educação (SBIE 2021), v. 1, p. 679-690, 2021.
  • FILHO, MALAQUIAS BATISTA ; CESSE, EDUARDA ÂNGELA PESSOA ; FREITAS, DÉBORAH LEMOS ; BATISTA, LEONARDO VIDAL . Lessons from COVID-19. REVISTA BRASILEIRA DE SAÚDE MATERNO INFANTIL, v. 21, p. 329-331, 2021.
  • Ratis, T ; Oliveira, L ; DA SILVA, CECÍLIA F. ; Andrade, A ; Galindo, N ; RÊGO, THAIS GAUDENCIO DO . Machine Learning: the new essential technique in bioinformatics.. In: 2st Congress of Women in Bioinformatics and Data Science Latin America, 2021. 2st Congress of Women in Bioinformatics and Data Science Latin America, 2021.
  • LEITE, F. A. ; SILVA, P. A. ; VITORIO, D. ; Oliveira, Marcelo Iury S. . Explorando o sentimento no Twitter sobre a implementação do ensino remoto no Brasil em face à COVID-19. In: Escola Regional de Informática de Goiás, 2021, Goiania. Anais da IX Escola Regional de Informática de Goiás, 2021.
  • SILVA, P. A. ; LEITE, F. A. ; VITORIO, D. ; Oliveira, Marcelo Iury S. . Análise de Sentimentos sobre o lockdown durante a pandemia de COVID-19: o caso brasileiro. In: Escola Regional de Informática de Goiás, 2021, Goiania. Anais da IX Escola Regional de Informática de Goiás, 2021.
  • LIMA, MATHEUS ; LEMOS, GUIDO ; KULESZA, RAONI . A Proposal for an Accessible Videoconferencing Interface for People with Hearing Impairments. In: WebMedia '21: Brazilian Symposium on Multimedia and the Web, 2021, Belo Horizonte Minas Gerais B. Proceedings of the Brazilian Symposium on Multimedia and the Web. New York, NY, USA: Association for Computing Machinery, 2021. p. 29.
  • MENEZES, R. S. T. ; CORDEIRO, A. M. ; MAGALHAES, R. M. ; MAIA, H. . Classification of Paintings Authorship Using Convolutional Neural Network. In: XV Brazilian Congress on Computational Intelligence (CBIC), 2021, Joinville, Santa Catarina. Anais do XV Congresso Brasileiro de Inteligência Computacional, 2021.

Publicações 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.
  • 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.

Publicações 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.