Technical and Fundamental Analysis for the Forecast of Financial Scrip Quotation: An Approach Employing Artificial Neural Networks and Wavelet Transform. - Anderson da Silva Soares; Maria Stela Veludo de Paiva; Clarimar José Coelho (ISNN (3), 2007)

Multi-Objective Evolutionary Algorithm NSGA-II for Variables Selection in Multivariate Calibration Problems. - Daniel Vitor de Lucena; Telma Woerle de Lima; Anderson da Silva Soares; Clarimar José Coelho (Int. J. Nat. Comput. Res., 2012)

Multi-objective evolutionary algorithm for variable selection in calibration problems: A case study for protein concentration prediction. - Daniel Vitor de Lucena; Telma Woerle de Lima; Anderson da Silva Soares; Alexandre C. B. Delbem; Arlindo Rodrigues Galvão Filho; Clarimar José Coelho; Gustavo Teodoro Laureano (IEEE Congress on Evolutionary Computation, 2013)

Hybrid Genetic-Fuzzy Algorithm for Variable Selection in Spectroscopy. - Telma Woerle de Lima; Anderson da Silva Soares; Clarimar José Coelho; Rogerio Salvini 001; Gustavo Teodoro Laureano (ICAISC (2), 2013)

Evaluation of Classifiers to a Childhood Pneumonia Computer-Aided Diagnosis System. - Rafael Teixeira Sousa; Oge Marques; Gabriela T. F. Curado; Ronaldo Martins da Costa; Anderson da Silva Soares; Fabrízzio Alphonsus A. M. N. Soares; Leandro Luís Galdino de Oliveira (CBMS, 2014)

Cachaça Classification Using Chemical Features and Computer Vision. - Bruno Urbano Rodrigues; Ronaldo Martins da Costa; Rogerio Lopes Salvini; Anderson da Silva Soares; Flávio Alves da Silva; Márcio Caliari; Karla Cristina Rodrigues Cardoso; Tânia Isabel Monteiro Ribeiro (ICCS, 2014)

Parallelization of a Modified Firefly Algorithm using GPU for Variable Selection in a Multivariate Calibration Problem. - Lauro C. M. de Paula; Anderson da Silva Soares; Telma W. L. Soares; Alexandre C. B. Delbem; Clarimar José Coelho; Arlindo Rodrigues Galvão Filho (Int. J. Nat. Comput. Res., 2014)

Multiobjective Firefly Algorithm for Variable Selection in Multivariate Calibration. - Lauro Cássio Martins de Paula; Anderson da Silva Soares (EPIA, 2015)

Multi-objective Genetic Algorithm for Variable Selection in Multivariate Classification Problems: A Case Study in Verification of Biodiesel Adulteration. - Lucas de Almeida Ribeiro; Anderson da Silva Soares; Telma Woerle de Lima; Carlos Antônio Campos Jorge; Ronaldo Martins da Costa; Rogerio Lopes Salvini; Clarimar José Coelho; Fernando Marques Federson; Paulo Henrique Ribeiro Gabriel (ICCS, 2015)

A New Approach to Detect Use of Alcohol Through Iris Videos Using Computer Vision. - Hedenir Monteiro Pinheiro; Ronaldo Martins da Costa; Eduardo Nery Rossi Camilo; Anderson da Silva Soares; Rogerio Salvini 001; Gustavo Teodoro Laureano; Fabrízzio Alphonsus A. M. N. Soares; Gang Hua 001 (ICIAP (2), 2015)

Reconhecimento de árvores usando visão computacional para prevenir interrupções no sistema de distribuição de energia elétrica [Recognition of trees using Computer Vision to prevent interruptions in the Power Distribution System]. - Heuber Gustavo Frazao de Lima; Ronaldo Martins da Costa; Anderson da Silva Soares; Gustavo Teodoro Laureano (SBSI, 2015)

Genetic Algorithm for Variable and Samples Selection in Multivariate Calibration Problems. - Kelton de Souza Santiago; Anderson da Silva Soares; Telma Woerle de Lima; Clarimar José Coelho; Paulo Henrique Ribeiro Gabriel (J. Comput. Sci., 2015)

A compact firefly algorithm for the variable selection problem in pharmaceutical ingredient determination. - Lauro C. M. de Paula; Heber V. Nogueira; Anderson da Silva Soares; Telma Woerle de Lima; Clarimar José Coelho (CEC, 2016)

Braille Text Entry on Smartphones: A Systematic Review of the Literature. - Joyce Siqueira; Fabrízzio Alphonsus Alves de Melo Nunes Soares; Deller James Ferreira; Cleyton Rafael Gomes Silva; Luciana de Oliveira Berretta; Cristiane Bastos Rocha Ferreira; Igor Moreira Felix; Anderson da Silva Soares; Ronaldo Martins da Costa; Mateus Machado Luna (COMPSAC Workshops, 2016)

Feature Selection using Genetic Algorithm: An Analysis of the Bias-Property for One-Point Crossover. - Lauro C. M. de Paula; Anderson da Silva Soares; Telma Woerle de Lima; Clarimar José Coelho (GECCO (Companion), 2016)

Variable Selection for Multivariate Calibration in Chemometrics: A Real-World Application with Building Blocks Disruption Problem. - Lauro C. M. de Paula; Anderson da Silva Soares; Telma Woerle de Lima; Arlindo R. G. Filho; Clarimar José Coelho (GECCO (Companion), 2016)

A Multi-Objective Evolutionary Algorithm with Efficient Data Structure and Heuristic Initialization for Fault Service Restoration. - Anderson da Silva Soares (ICCS, 2016)

An Evolutionary Algorithm for Autonomous Robot Navigation. - Anderson da Silva Soares; Telma Woerle de Lima Soares (ICCS, 2016)

Text input in Smartwatches Based Gestures Using Geometric Shape. - Thamer H. Nascimento; Fabrízzio Alphonsus A. M. N. Soares; Cristiane Bastos Rocha Ferreira; Leandro Luís Galdino Oliveira; Anderson da Silva Soares; Pourang P. Irani; Marcos Alves Vieira (IHC, 2016)

A feasibility cachaca type recognition using computer vision and pattern recognition. - Bruno Urbano Rodrigues; Anderson da Silva Soares; Ronaldo Martins da Costa; Jeffrey Van Baalen; Rogerio Lopes Salvini; F. A. Silva; Márcio Caliari; Karla Cristina Rodrigues Cardoso; Tânia Isabel Monteiro Ribeiro; Alexandre C. B. Delbem; Fernando Marques Federson; Clarimar José Coelho; et al. (Comput. Electron. Agric., 2016)

Node-depth phylogenetic-based encoding, a spanning-tree representation for evolutionary algorithms. part I: Proposal and properties analysis. - Telma Woerle de Lima; Alexandre Cláudio Botazzo Delbem; Anderson da Silva Soares; Fernando Marques Federson; João Bosco Augusto London Junior; Jeffrey Van Baalen (Swarm Evol. Comput., 2016)

Integer-based genetic algorithm for feature selection in multivariate calibration. - Rhelcris S. Sousa; Telma Woerle de Lima; Lauro C. M. de Paula; Roney Lopes Lima; Arlindo R. G. Filho; Anderson da Silva Soares (CEC, 2017)

Method for Text Entry in Smartwatches Using Continuous Gesture Recognition. - Thamer Horbylon Nascimento; Fabrízzio Alphonsus A. M. N. Soares; Pouang Polad Irani; Leandro Luíz Galdino de Oliveira; Anderson da Silva Soares (COMPSAC (2), 2017)

A Stochastic Approach of SIRC Model Using Individual-Based Epidemiological Models. - Arlindo Rodrigues Galvão Filho; Telma Woerle de Lima; Anderson da Silva Soares; Clarimar José Coelho (EPIA, 2017)

Variable selection as a non-completely decomposable problem: a case study in multivariate calibration. - Lauro C. M. de Paula; Anderson da Silva Soares; Telma W. L. Soares; Clarimar José Coelho (GECCO (Companion), 2017)

Parallel regressions for variable selection using GPU. - Lauro Cássio Martins de Paula; Anderson da Silva Soares; Telma W. L. Soares; Arlindo R. G. Filho; Clarimar José Coelho; Alexandre C. B. Delbem; Wellington Santos Martins (Computing, 2017)

Modern Metaheuristic with Multi-Objective Formulation for the Variable Selection Problem. - Lauro Cássio Martins de Paula; Anderson da Silva Soares; Telma Woerle de Lima Soares; Anselmo E. de Oliveira; Clarimar José Coelho (J. Comput. Sci., 2017)

A New Clustering-based Thresholding Method for Human Skin Segmentation Using HSV Color Space. - Rafael Divino Ferreira Feitosa; Anderson da Silva Soares; Lucas Calabrez Pereyra (ISCC, 2018)

Portuguese Named Entity Recognition Using LSTM-CRF. - Pedro Vitor Quinta de Castro; Nádia Félix Felipe da Silva; Anderson da Silva Soares (PROPOR, 2018)

Predicting Diabetes Disease Evolution Using Financial Records and Recurrent Neural Networks. - Rafael Teixeira Sousa; Lucas A. Pereira; Anderson da Silva Soares (CoRR, 2018)

Generating Reduced Tests for FSMs using a Search-Based Testing Approach. - Mariana Soller Ramada; Telma Woerle de Lima; Anderson da Silva Soares; Adenilso Simão (ICTAI, 2019)

Contextual Representations and Semi-Supervised Named Entity Recognition for Portuguese Language. - Pedro Vitor Quinta de Castro; Nádia Félix Felipe da Silva; Anderson da Silva Soares (IberLEF@SEPLN, 2019)

Multilingual Transformer Ensembles for Portuguese Natural Language Tasks. - Ruan Chaves Rodrigues; Jéssica Rodrigues da Silva; Pedro Vitor Quinta de Castro; Nádia Félix Felipe da Silva; Anderson da Silva Soares (ASSIN@STIL, 2019)

Epistasis-based FSA: Two versions of a novel approach for variable selection in multivariate calibration. - Lauro C. M. de Paula; Anderson da Silva Soares; Telma Woerle de Lima Soares; Celso G. Camilo-Junior; Clarimar José Coelho; Anselmo E. de Oliveira (Eng. Appl. Artif. Intell., 2019)

Improving Face Recognition Accuracy for Brazilian Faces in a Criminal Investigation Department. - Jones José da Silva Júnior; Anderson da Silva Soares (BRACIS, 2020)

New search operators for node-depth based encoding. - Gustavo Post Sabin; Telma Woerle de Lima; Anderson da Silva Soares (GECCO, 2020)

Detection of Tumoral Epithelial Lesions Using Hyperspectral Imaging and Deep Learning. - Daniel Vitor de Lucena; Anderson da Silva Soares; Clarimar José Coelho; Isabela Jubé Wastowski; Arlindo Rodrigues Galvão Filho (ICCS (3), 2020)

MARS-Gym: A Gym framework to model, train, and evaluate Recommender Systems for Marketplaces. - Marlesson R. O. Santana; Luckeciano C. Melo; Fernando H. F. Camargo; Bruno Brandão; Anderson Soares 001; Renan M. Oliveira; Sandor Caetano (ICDM (Workshops), 2020)

On Sharing Information Between Sub-populations in MOEA/S. - Lucas de Almeida Ribeiro; Michael Emmerich 001; Anderson da Silva Soares; Telma Woerle de Lima (PPSN (2), 2020)

Portuguese Language Models and Word Embeddings: Evaluating on Semantic Similarity Tasks. - Ruan Chaves Rodrigues; Jéssica Rodrigues da Silva; Pedro Vitor Quinta de Castro; Nádia Félix Felipe da Silva; Anderson da Silva Soares (PROPOR, 2020)

Contextual Meta-Bandit for Recommender Systems Selection. - Marlesson R. O. Santana; Luckeciano C. Melo; Fernando H. F. Camargo; Bruno Brandão; Anderson Soares 001; Renan M. Oliveira; Sandor Caetano (RecSys, 2020)

A Systematic Mapping Study on Software Testing for Systems-of-Systems. - Vinicius Carvalho Lopes; Marcus Norberto; Douglas Winston R. S.; Mohamad Kassab; Anderson da Silva Soares; Roberto Oliveira 003; Valdemar Vicente Graciano Neto (SAST, 2020)

Deep Learning Brasil - NLP at SemEval-2020 Task 9: Sentiment Analysis of Code-Mixed Tweets Using Ensemble of Language Models. - Manoel Veríssimo dos Santos Neto; Ayrton Denner da Silva Amaral; Nádia Félix F. da Silva; Anderson da Silva Soares (SemEval@COLING, 2020)

Improving Irregularly Sampled Time Series Learning with Dense Descriptors of Time. - Rafael Teixeira Sousa; Lucas A. Pereira; Anderson da Silva Soares (CoRR, 2020)

Deep Learning Brasil - NLP at SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets. - Manoel Veríssimo dos Santos Neto; Ayrton Denner da Silva Amaral; Nádia Félix Felipe da Silva; Anderson da Silva Soares (CoRR, 2020)

SC-GlowTTS: An Efficient Zero-Shot Multi-Speaker Text-To-Speech Model. - Edresson Casanova; Christopher Shulby; Eren Gölge; Nicolas Michael Müller; Frederico Santos de Oliveira; Arnaldo Candido Jr.; Anderson da Silva Soares; Sandra Maria Aluísio; Moacir Antonelli Ponti (Interspeech, 2021)

Hybrid Model with Time Modeling for Sequential Recommender Systems. - Marlesson R. O. Santana; Anderson Soares 001 (WebTour@WSDM, 2021)

CORAA: a large corpus of spontaneous and prepared speech manually validated for speech recognition in Brazilian Portuguese. - Arnaldo Cândido Júnior; Edresson Casanova; Anderson da Silva Soares; Frederico Santos de Oliveira; Lucas Oliveira; Ricardo Corso Fernandes Junior; Daniel Peixoto Pinto da Silva; Fernando Gorgulho Fayet; Bruno Baldissera Carlotto; Lucas Rafael Stefanel Gris; Sandra Maria Aluísio (CoRR, 2021)

CEIA-NLP at CASE 2022 Task 1: Protest News Detection for Portuguese. - Diogo Fernandes Costa Silva; Adalberto Ferreira Barbosa Junior; Gabriel Marques; Anderson da Silva Soares; Arlindo Rodrigues Galvão Filho (CASE@EMNLP, 2022)

A new big data architecture for efficient processing of spatiotemporal data using Machine Learning. - Sávio Salvarino Teles de Oliveira; Vagner J. do Sacramento Rodrigues; Wellington S. Martins; Anderson da Silva Soares (GEOINFO, 2022)

Brazilian Portuguese Speech Recognition Using Wav2vec 2.0. - Lucas Rafael Stefanel Gris; Edresson Casanova; Frederico Santos de Oliveira; Anderson da Silva Soares; Arnaldo Cândido Júnior (PROPOR, 2022)

Deep Learning Brasil at ABSAPT 2022: Portuguese Transformer Ensemble Approaches. - Juliana Resplande Sant'Anna Gomes; Eduardo Augusto Santos Garcia; Adalberto Ferreira Barbosa Junior; Ruan Chaves Rodrigues; Diogo Fernandes Costa Silva; Dyonnatan Ferreira Maia; Nádia Félix Felipe da Silva; Arlindo Rodrigues Galvão Filho; Anderson da Silva Soares (IberLEF@SEPLN, 2022)

PTL-AI Furnas Dataset: A Public Dataset for Fault Detection in Power Transmission Lines Using Aerial Images. - Frederico Santos de Oliveira; Marcelo de Carvalho; Pedro Henrique Tancredo Campos; Anderson da Silva Soares; Arnaldo Cândido Júnior; Ana Cláudia Rodrigues Da Silva Quirino (SIBGRAPI, 2022)

Multiagent Reinforcement Learning for Strategic Decision Making and Control in Robotic Soccer Through Self-Play. - Bruno Brandão; Telma Woerle de Lima; Anderson Soares 001; Luckeciano C. Melo; Marcos R. O. A. Máximo (IEEE Access, 2022)

A single speaker is almost all you need for automatic speech recognition. - Edresson Casanova; Christopher Shulby; Alexander Korolev; Arnaldo Cândido Júnior; Anderson da Silva Soares; Sandra M. Aluísio; Moacir Antonelli Ponti (CoRR, 2022)

ASR data augmentation in low-resource settings using cross-lingual multi-speaker TTS and cross-lingual voice conversion. - Edresson Casanova; Christopher Shulby; Alexander Korolev; Arnaldo Cândido Júnior; Anderson da Silva Soares; Sandra M. Aluísio; Moacir Antonelli Ponti (INTERSPEECH, 2023)

Evaluation of Speech Representations for MOS Prediction. - Frederico Santos de Oliveira; Edresson Casanova; Arnaldo Cândido Júnior; Lucas R. S. Gris; Anderson da Silva Soares; Arlindo R. Galvão Filho (TSD, 2023)

CML-TTS: A Multilingual Dataset for Speech Synthesis in Low-Resource Languages. - Frederico Santos de Oliveira; Edresson Casanova; Arnaldo Cândido Júnior; Anderson da Silva Soares; Arlindo R. Galvão Filho (TSD, 2023)

Evaluating OpenAI's Whisper ASR for Punctuation Prediction and Topic Modeling of life histories of the Museum of the Person. - Lucas Rafael Stefanel Gris; Ricardo M. Marcacini; Arnaldo Cândido Júnior; Edresson Casanova; Anderson da Silva Soares; Sandra Maria Aluísio (CoRR, 2023)

Yin Yang Convolutional Nets: Image Manifold Extraction by the Analysis of Opposites. - Augusto Seben da Rosa; Frederico Santos de Oliveira; Anderson da Silva Soares; Arnaldo Cândido Júnior (CoRR, 2023)

CORAA ASR: a large corpus of spontaneous and prepared speech manually validated for speech recognition in Brazilian Portuguese. - Arnaldo Cândido Júnior; Edresson Casanova; Anderson da Silva Soares; Frederico Santos de Oliveira; Lucas Oliveira; Ricardo Corso Fernandes Junior; Daniel Peixoto Pinto da Silva; Fernando Gorgulho Fayet; Bruno Baldissera Carlotto; Lucas Rafael Stefanel Gris; Sandra Maria Aluísio (Lang. Resour. Evaluation, 2023)

Dual-Bandwidth Spectrogram Analysis for Speaker Verification. - Rafaello Virgilli; Arnaldo Cândido Júnior; Augusto Seben da Rosa; Frederico Santos de Oliveira; Anderson da Silva Soares (BRACIS (1), 2024)

Classification of Pulmonary Embolism on Computed Tomography Angiography Using Artificial Intelligence. - Luan Silva; Maria Carolina Coradini; Guilherme Alberto Sousa Ribeiro; Thiago Fellipe Ortiz de Camargo; Paulo Victor dos Santos; Giovanna Mendes; Joselisa de Paiva; Wesley Pacheco Calixto; Letícia Rittner; Rafael Loureiro; Márcio Reis; Anderson Soares 001 (ISBI, 2024)

Fine-Tuning a Video Masked Autoencoder to Develop an Augmented Reality Application for Brazilian Sign Language Interpretation. - Rodrigo Zempulski Fanucchi; Arlindo Rodrigues Galvão Junior; Gabriel da Mata Marques; Lucas Brandão Rodrigues; Anderson da Silva Soares; Telma Woerle de Lima Soares (SVR, 2024)

No Saved Kaleidosope: an 100% Jitted Neural Network Coding Language with Pythonic Syntax. - Augusto Seben da Rosa; Marlon Daniel Angeli; Jorge Aikes Junior; Alef Iury Siqueira Ferreira; Lucas Rafael Stefanel Gris; Anderson da Silva Soares; Arnaldo Cândido Júnior; Frederico Santos de Oliveira; Gabriel Trevisan Damke; Rafael Teixeira Sousa (CoRR, 2024)

Deep-Q-Network hybridization with extended Kalman filter for accelerate learning in autonomous navigation with auxiliary security module. - Carlos Daniel de Sousa Bezerra; Flávio Henrique Teles Vieira; Anderson da Silva Soares (Trans. Emerg. Telecommun. Technol., 2024)

A survey and study impact of tweet sentiment analysis via transfer learning in low resource scenarios. - Manoel Veríssimo dos Santos Neto; Nádia Félix F. da Silva; Anderson da Silva Soares (Lang. Resour. Evaluation, 2024)

MuPe Life Stories Dataset: Spontaneous Speech in Brazilian Portuguese with a Case Study Evaluation on ASR Bias against Speakers Groups and Topic Modeling. - Sidney Evaldo Leal; Arnaldo Cândido Júnior; Ricardo M. Marcacini; Edresson Casanova; Odilon Gonçalves; Anderson da Silva Soares; Rodrigo Lima; Lucas Rafael Stefanel Gris; Sandra M. Aluísio (COLING, 2025)

FreeSVC: Towards Zero-shot Multilingual Singing Voice Conversion. - Alef Iury Siqueira Ferreira; Lucas Rafael Stefanel Gris; Augusto Seben da Rosa; Frederico Santos de Oliveira; Edresson Casanova; Rafael Teixeira Sousa; Arnaldo Candido Jr.; Anderson da Silva Soares; Arlindo R. Galvão Filho (ICASSP, 2025)

Enhancing NeRFs for High-Quality Indoor Video Generation: A Study on Parameterization and Recording Methods. - Tafnes Silva Barbosa; Luis Henrique da S. Resende; Iuri Almeida Pereira; Igor Scaliante Wiese; Thiago França Naves; Telma Woerle de Lima Soares; Anderson da Silva Soares (SBSI, 2025)

AKCIT-FN at CheckThat! 2025: Switching Fine-Tuned SLMs and LLM Prompting for Multilingual Claim Normalization. - Fabrycio Leite Nakano Almada; Kauan Divino Pouso Mariano; Maykon Adriell Dutra; Victor Emanuel da Silva Monteiro; Juliana Resplande Sant'Anna Gomes; Arlindo Rodrigues Galvão Filho; Anderson da Silva Soares (CoRR, 2025)