Novelty Detection for Short Time Series with Neural Networks. - Adriano L. I. Oliveira; Fernando Buarque de Lima Neto; Silvio Romero de Lemos Meira (HIS, 2003)

A Method Based on RBF-DDA Neural Networks for Improving Novelty Detection in Time Series. - Adriano L. I. Oliveira; Fernando Buarque de Lima Neto; Silvio Romero de Lemos Meira (FLAIRS, 2004)

Combining Data Reduction and Parameter Selection for Improving RBF-DDA Performance. - Adriano L. I. Oliveira; Bruno J. M. Melo; Fernando Buarque de Lima Neto; Silvio Romero de Lemos Meira (IBERAMIA, 2004)

Improving RBF-DDA Performance on Optical Character Recognition through Parameter Selection. - Adriano L. I. Oliveira; Fernando Buarque de Lima Neto; Silvio Romero de Lemos Meira (ICPR (4), 2004)

Improving novelty detection in short time series through RBF-DDA parameter adjustment. - Adriano Lorena Inacio de Oliveira; Fernando Buarque de Lima Neto; Silvio Romero de Lemos Meira (IJCNN, 2004)

Combining MLP and RBF Neural Networks for Novelty Detection in Short Time Series. - Adriano L. I. Oliveira; Fernando Buarque de Lima Neto; Silvio Romero de Lemos Meira (MICAI, 2004)

A Comparative Study on Support Vector Machine and Constructive RBF Neural Network for Prediction of Success of Dental Implants. - Adriano L. I. Oliveira; Carolina Baldisserotto; Julio Baldisserotto (CIARP, 2005)

A Study on the Influence of Parameter ?- on Performance of RBF Neural Networks Trained with the Dynamic Decay Adjustment Algorithm. - Adriano L. I. Oliveira; Ericles A. Medeiros; Thyago A. B. V. Rocha; Miguel E. R. Bezerra; Ronaldo C. Veras (HIS, 2005)

A Comparative Study on Machine Learning Techniques for Prediction of Success of Dental Implants. - Adriano Lorena Inácio de Oliveira; Carolina Baldisserotto; Julio Baldisserotto (MICAI, 2005)

Improving constructive training of RBF networks through selective pruning and model selection. - Adriano L. I. Oliveira; Bruno J. M. Melo; Silvio Romero de Lemos Meira (Neurocomputing, 2005)

Improving RBF-DDA Performance on Optical Character Recognition through Weights Adjustment. - Adriano L. I. Oliveira; Silvio R. L. Meira (IJCNN, 2006)

Optical Digit Recognition for Images of Handwritten Historical Documents. - Adriano L. I. Oliveira; Carlos A. B. Mello; E. R. Silva Jr.; V. M. O. Alves (SBRN, 2006)

On the Influence of Parameter theta- on Performance of Rbf Neural Networks Trained with the Dynamic Decay Adjustment Algorithm. - Adriano L. I. Oliveira; Ericles A. Medeiros; Thyago A. B. V. Rocha; Miguel E. R. Bezerra; Ronaldo C. Veras (Int. J. Neural Syst., 2006)

Estimation of software project effort with support vector regression. - Adriano L. I. Oliveira (Neurocomputing, 2006)

Detecting novelties in time series through neural networks forecasting with robust confidence intervals. - Adriano L. I. Oliveira; Silvio Romero de Lemos Meira (Neurocomputing, 2006)

A Novel Approach for a Routing Algorithm Based on a Discrete Time Hopfield Neural Network. - Carmelo J. A. Bastos Filho; Robson A. Santana; Adriano L. I. Oliveira (FOCI, 2007)

Software Effort Estimation using Machine Learning Techniques with Robust Confidence Intervals. - Petrônio L. Braga; Adriano L. I. Oliveira; Silvio R. L. Meira (HIS, 2007)

Comparative Study of Clustering Techniques for the Organization of Software Repositories. - Ronaldo C. Veras; Silvio R. L. Meira; Adriano L. I. Oliveira; Bruno J. M. Melo (HIS, 2007)

Based on Color Quantization by Genetic Algorithms. - Carmelo J. A. Bastos Filho; Carlos A. B. Mello; Júlio Dantas Andrade; Davi M. A. Falcão; Marília P. Lima; Wellington P. dos Santos; Adriano L. I. Oliveira (ICTAI (1), 2007)

A Constructive RBF Neural Network for Estimating the Probability of Defects in Software Modules. - Miguel E. R. Bezerra; Adriano L. I. Oliveira; Silvio R. L. Meira (IJCNN, 2007)

Bagging Predictors for Estimation of Software Project Effort. - Petrônio L. Braga; Adriano L. I. Oliveira; Gustavo H. T. Ribeiro; Silvio R. L. Meira (IJCNN, 2007)

A Novel Method for One-Class Classification Based on the Nearest Neighbor Data Description and Structural Risk Minimization. - George G. Cabral; Adriano L. I. Oliveira; Carlos B. G. Cahu (IJCNN, 2007)

A Hybrid Hopfield Network-Simulated Annealing approach to Optimize Routing Processes in Telecommunications Networks. - Wesnaida H. Schuler; Carmelo J. A. Bastos Filho; Adriano L. I. Oliveira (ISDA, 2007)

Handwritten Digit Segmentation in Images of Historical Documents with One-Class Classifiers. - V. M. O. Alves; Adriano L. I. Oliveira; E. R. Silva Jr.; Carlos A. B. Mello (ICTAI (2), 2008)

A Comparative Study of Machine Learning Techniques for Caries Prediction. - Robson D. Montenegro; Adriano L. I. Oliveira; George G. Cabral; Cintia R. T. Katz; Aronita Rosenblatt (ICTAI (2), 2008)

Enhancing RBF-DDA Algorithm's Robustness: Neural Networks Applied to Prediction of Fault-Prone Software Modules. - Miguel E. R. Bezerra; Adriano L. I. Oliveira; Paulo J. L. Adeodato; Silvio R. L. Meira (IFIP AI, 2008)

A Comparative Analysis of One-class Structural Risk Minimization by Support Vector Machines and Nearest Neighbor Rule. - George G. Cabral; Adriano L. I. Oliveira (IFIP AI, 2008)

A fast and reliable routing algorithm based on Hopfield Neural Networks optimized by Particle Swarm Optimization. - Carmelo J. A. Bastos Filho; Wesnaida H. Schuler; Adriano L. I. Oliveira (IJCNN, 2008)

A GA-based feature selection and parameters optimization for support vector regression applied to software effort estimation. - Petrônio L. Braga; Adriano L. I. Oliveira; Silvio R. L. Meira (SAC, 2008)

Adjusting Weights and Architecture of Neural Networks through PSO with Time-Varying Parameters and Early Stopping. - Lamartine Almeida Teixeira; Felipe T. G. Oliveira; Adriano L. I. Oliveira; Carmelo J. A. Bastos Filho (SBRN, 2008)

Historical Document Image Binarization. - Carlos A. B. Mello; Adriano L. I. Oliveira; Ángel Sánchez 001 (VISAPP (1), 2008)

Novelty detection with constructive probabilistic neural networks. - Adriano L. I. Oliveira; Flavio R. G. Costa; Clovis O. S. Filho (Neurocomputing, 2008)

A Morphological-Rank-Linear Approach for Software Development Cost Estimation. - Ricardo de A. Araújo; Adriano L. I. de Oliveira; Sérgio C. B. Soares (ICTAI, 2009)

Predicting Stock Trends through Technical Analysis and Nearest Neighbor Classification. - Lamartine Almeida Teixeira; Adriano L. I. Oliveira (SMC, 2009)

A novel hybrid training method for hopfield neural networks applied to routing in communications networks. - Wesnaida H. Schuler; Carmelo J. A. Bastos Filho; Adriano L. I. Oliveira (Int. J. Hybrid Intell. Syst., 2009)

Combining nearest neighbor data description and structural risk minimization for one-class classification. - George G. Cabral; Adriano L. I. Oliveira; Carlos B. G. Cahu (Neural Comput. Appl., 2009)

Scheduling parallel jobs for multiphysics simulators. - Renata Medeiros de Carvalho; Ricardo Massa Ferreira Lima; Adriano L. I. Oliveira; Felix C. G. Santos (IEEE Congress on Evolutionary Computation, 2010)

A covariance matrix adaptation based evolutionary methodology for phase adjustment in financial time series forecasting. - Ricardo de A. Araújo; Adriano L. I. de Oliveira; Sérgio C. B. Soares (GECCO, 2010)

Hybrid Intelligent Design of Morphological-Rank-Linear Perceptrons for Software Development Cost Estimation. - Ricardo de A. Araújo; Adriano L. I. de Oliveira; Sérgio Soares (ICTAI (1), 2010)

A quantum-inspired hybrid methodology for financial time series prediction. - Ricardo de A. Araújo; Adriano L. I. de Oliveira; Sérgio C. B. Soares (IJCNN, 2010)

A hybrid method for novelty detection in time series based on states transitions and swarm intelligence. - George G. Cabral; Adriano L. I. Oliveira (IJCNN, 2010)

Hybrid evolutionary quantum inspired method to adjust time phase distortions in financial time series. - Ricardo de A. Araújo; Adriano L. I. de Oliveira; Sérgio C. B. Soares (SAC, 2010)

Overcoming the random walk dilemma using a Covariance Matrix Adaptation Evolutionary method. - Ricardo de A. Araújo; Adriano L. I. de Oliveira; Sérgio Soares (SMC, 2010)

Identifying parallel jobs for Multi-Physics simulators scheduling. - Renata Medeiros de Carvalho; Ricardo Massa Ferreira Lima; Adriano L. I. de Oliveira; Felix Christian Guimarães Santos (SMC, 2010)

A method for automatic stock trading combining technical analysis and nearest neighbor classification. - Lamartine Almeida Teixeira; Adriano Lorena Inácio de Oliveira (Expert Syst. Appl., 2010)

GA-based method for feature selection and parameters optimization for machine learning regression applied to software effort estimation. - Adriano L. I. Oliveira; Petrônio L. Braga; Ricardo Massa Ferreira Lima; Márcio Cornélio (Inf. Softw. Technol., 2010)

An evolutionary approach to design dilation-erosion perceptrons for stock market indices forecasting. - Ricardo Araujo Costa; Adriano L. I. Oliveira; Sérgio Soares; Silvio Romero de Lemos Meira (GECCO, 2011)

Gradient-based morphological approach for software development cost estimation. - Ricardo de A. Araújo; Adriano L. I. Oliveira; Sérgio C. B. Soares; Silvio R. L. Meira (IJCNN, 2011)

Designing dilation-erosion perceptrons with differential evolutionary learning for air pressure forecasting. - Ricardo de A. Araújo; Adriano L. I. Oliveira; Sérgio C. B. Soares; Silvio R. L. Meira (IJCNN, 2011)

Dilation-erosion perceptrons with evolutionary learning for weather forecasting. - Ricardo de A. Araújo; Adriano L. I. Oliveira; Sérgio Soares; Silvio R. L. Meira (SMC, 2011)

Predicting software defects: A cost-sensitive approach. - Miguel E. R. Bezerra; Adriano L. I. Oliveira; Paulo J. L. Adeodato (SMC, 2011)

A novel one-class classification method based on feature analysis and prototype reduction. - George Gomes Cabral; Adriano Lorena Inacio de Oliveira (SMC, 2011)

An efficient algorithm for static task scheduling in parallel applications. - Renata Medeiros de Carvalho; Ricardo Massa Ferreira Lima; Adriano Lorena Inácio de Oliveira (SMC, 2011)

A shift-invariant morphological system for software development cost estimation. - Ricardo de A. Araújo; Adriano Lorena Inácio de Oliveira; Sérgio C. B. Soares (Expert Syst. Appl., 2011)

A Hybrid Model for S&P500 Index Forecasting. - Ricardo de A. Araújo; Adriano L. I. Oliveira; Silvio R. L. Meira (ICANN (2), 2012)

One-Class Classification through Optimized Feature Boundaries Detection and Prototype Reduction. - George G. Cabral; Adriano L. I. Oliveira (ICANN (1), 2012)

Extreme Learning Machines for Intrusion Detection Systems. - Gilles Paiva M. de Farias; Adriano L. I. de Oliveira; George G. Cabral (ICONIP (4), 2012)

Comparative Study of FOREX Trading Systems Built with SVR+GHSOM and Genetic Algorithms Optimization of Technical Indicators. - Rodrigo F. B. de Brito; Adriano L. I. Oliveira (ICTAI, 2012)

A Dilation-Erosion-Linear Perceptron for Bovespa Index Prediction. - Ricardo de A. Araújo; Adriano L. I. Oliveira; Silvio R. L. Meira (IDEAL, 2012)

A foreign exchange market trading system by combining GHSOM and SVR. - Rodrigo F. B. de Brito; Adriano L. I. Oliveira (IJCNN, 2012)

Hybrid morphological methodology for software development cost estimation. - Ricardo de A. Araújo; Sérgio Soares; Adriano L. I. Oliveira (Expert Syst. Appl., 2012)

An evolutionary morphological approach for software development cost estimation. - Ricardo de A. Araújo; Adriano L. I. Oliveira; Sérgio Soares; Silvio R. L. Meira (Neural Networks, 2012)

A learning process based on covariance matrix adaptation for morphological-linear perceptrons. - Ricardo de A. Araújo; Adriano L. I. Oliveira; Silvio R. L. Meira (IEEE Congress on Evolutionary Computation, 2013)

Automatic method for stock trading combining technical analysis and the Artificial Bee Colony Algorithm. - Rodrigo C. Brasileiro; Victor L. F. Souza; Bruno J. T. Fernandes; Adriano L. I. Oliveira (IEEE Congress on Evolutionary Computation, 2013)

Improving the Statistical Arbitrage Strategy in Intraday Trading by Combining Extreme Learning Machine and Support Vector Regression with Linear Regression Models. - Jarley Palmeira Nóbrega; Adriano Lorena Inácio de Oliveira (ICTAI, 2013)

Preprocessing unbalanced data using weighted support vector machines for prediction of heart disease in children. - Thiago Tavares; Adriano L. I. Oliveira; George G. Cabral; Sandra da Silva Mattos; Renata Grigorio (IJCNN, 2013)

Sliding window-based analysis of multiple foreign exchange trading systems by using soft computing techniques. - Rodrigo F. B. de Brito; Adriano L. I. Oliveira (IJCNN, 2014)

An autonomous trader agent for the stock market based on online sequential extreme learning machine ensemble. - Rodolfo Carneiro Cavalcante; Adriano L. I. Oliveira (IJCNN, 2014)

One-class Classification for heart disease diagnosis. - George Gomes Cabral; Adriano Lorena Inácio de Oliveira (SMC, 2014)

A combination forecasting model using machine learning and Kalman filter for statistical arbitrage. - Jarley Palmeira Nóbrega; Adriano L. I. Oliveira (SMC, 2014)

One-Class Classification based on searching for the problem features limits. - George G. Cabral; Adriano L. I. Oliveira (Expert Syst. Appl., 2014)

A Model with Evolutionary Covariance-based Learning for High-Frequency Financial Forecasting. - Ricardo de A. Araújo; Adriano L. I. Oliveira; Silvio Romero de Lemos Meira (GECCO, 2015)

A prediction model for high-frequency financial time series. - Ricardo de A. Araújo; Adriano L. I. de Oliveira; Silvio Romero de Lemos Meira (IJCNN, 2015)

An approach to handle concept drift in financial time series based on Extreme Learning Machines and explicit Drift Detection. - Rodolfo Carneiro Cavalcante; Adriano L. I. Oliveira (IJCNN, 2015)

A PAA-PSO technique for investment strategies in the financial market. - Victor L. F. Souza; Rodrigo C. Brasileiro; Adriano L. I. Oliveira (IJCNN, 2015)

Sistema de Previsão do Tempo de Chegada dos Ônibus Baseado em Dados Históricos Utilizando Modelos de Regressão [Prediction System of Bus Arrival Time Based on Historical Data Using Regression Models]. - Kassio R. Coquita; Arley Ramalho R. Ristar; Adriano L. I. Oliveira; Patrícia C. A. R. Tedesco (SBSI, 2015)

Kalman filter-based method for Online Sequential Extreme Learning Machine for regression problems. - Jarley Palmeira Nóbrega; Adriano Lorena Inácio de Oliveira (Eng. Appl. Artif. Intell., 2015)

A hybrid model for high-frequency stock market forecasting. - Ricardo de A. Araújo; Adriano L. I. de Oliveira; Silvio Romero de Lemos Meira (Expert Syst. Appl., 2015)

Hybrid methods for fuzzy clustering based on fuzzy c-means and improved particle swarm optimization. - Telmo de Menezes e Silva Filho; Bruno A. Pimentel; Renata M. C. R. Souza; Adriano L. I. Oliveira (Expert Syst. Appl., 2015)

Novelty Detection Based on Genuine Normal and Artificially Generated Novelty Examples. - George Gomes Cabral; Adriano Lorena Inacio de Oliveira (BRACIS, 2016)

Discriminating between Brazilian and European Portuguese National Varieties on Twitter Texts. - Dayvid Castro; Ellen Souza 001; Adriano L. I. de Oliveira (BRACIS, 2016)

An Unsupervised Particle Swarm Optimization Approach for Opinion Clustering. - Ellen Souza 001; Adriano L. I. Oliveira; Gustavo H. F. M. Oliveira; Alisson Silva; Diego Santos (BRACIS, 2016)

A probabilistic and dynamic chart pattern recognition hybrid system applied to foreign exchange rate prediction. - Rodrigo F. B. de Brito; Adriano L. I. Oliveira (IJCNN, 2016)

FEDD: Feature Extraction for Explicit Concept Drift Detection in time series. - Rodolfo Carneiro Cavalcante; Leandro L. Minku; Adriano L. I. Oliveira (IJCNN, 2016)

Copulas-based ensemble of Artificial Neural Networks for forecasting real world time series. - Ricardo T. A. de Oliveira; Thaize Fernandes O. de Assis; Paulo Renato A. Firmino; Tiago A. E. Ferreira; Adriano L. I. Oliveira (IJCNN, 2016)

TOPIE: An Open-Source Opinion Mining Pipeline to Analyze Consumers' Sentiment in Brazilian Portuguese. - Ellen Souza 001; Tiago Alves 001; Ingryd Teles; Adriano L. I. Oliveira; Cristine Gusmão (PROPOR, 2016)

Characterizing Opinion Mining: A Systematic Mapping Study of the Portuguese Language. - Ellen Souza 001; Douglas Vitório; Dayvid Castro; Adriano L. I. Oliveira; Cristine Gusmão (PROPOR, 2016)

Characterizing User-Generated Text Content Mining: A Systematic Mapping Study of the Portuguese Language. - Ellen Souza 001; Dayvid Castro; Douglas Vitório; Ingryd Teles; Adriano L. I. Oliveira; Cristine Gusmão (WorldCIST (1), 2016)

Computational Intelligence and Financial Markets: A Survey and Future Directions. - Rodolfo Carneiro Cavalcante; Rodrigo C. Brasileiro; Victor L. F. Souza; Jarley Palmeira Nóbrega; Adriano L. I. Oliveira (Expert Syst. Appl., 2016)

The Impact of Dataset Complexity on Transfer Learning over Convolutional Neural Networks. - Miguel D. de S. Wanderley; Leonardo de A. e Bueno; Cleber Zanchettin; Adriano L. I. Oliveira (ICANN (2), 2017)

Optimizing speaker-specific filter banks for speaker verification. - Hector N. B. Pinheiro; Fernando M. P. Neto; Adriano L. I. Oliveira; Tsang Ing Ren; George D. C. Cavalcanti; André Gustavo Adami (ICASSP, 2017)

Heterogeneous Ensemble Dynamic Selection for Software Development Effort Estimation. - Jose Thiago H. de A. Cabral; Ricardo de A. Araújo; Jarley Palmeira Nóbrega; Adriano L. I. Oliveira (ICTAI, 2017)

Time Series Forecasting in the Presence of Concept Drift: A PSO-based Approach. - Gustavo H. F. M. Oliveira; Rodolfo Carneiro Cavalcante; George G. Cabral; Leandro L. Minku; Adriano L. I. Oliveira (ICTAI, 2017)

Investigating Opinion Mining through Language Varieties: a Case Study of Brazilian and European Portuguese tweets. - Douglas Vitório; Ellen Polliana Ramos Souza; Ingryd Pereira; Adriano L. I. Oliveira (STIL, 2017)

Smoothed n-gram based models for tweet language identification: A case study of the Brazilian and European Portuguese national varieties. - Dayvid Castro; Ellen Souza 001; Douglas Vitório; Diego Santos; Adriano L. I. Oliveira (Appl. Soft Comput., 2017)

Automatic trading method based on piecewise aggregate approximation and multi-swarm of improved self-adaptive particle swarm optimization with validation. - Rodrigo C. Brasileiro; Victor L. F. Souza; Adriano L. I. Oliveira (Decis. Support Syst., 2017)

A morphological neural network for binary classification problems. - Ricardo de A. Araújo; Adriano L. I. Oliveira; Silvio Romero de Lemos Meira (Eng. Appl. Artif. Intell., 2017)

A class of hybrid multilayer perceptrons for software development effort estimation problems. - Ricardo de A. Araújo; Adriano L. I. Oliveira; Silvio Romero de Lemos Meira (Expert Syst. Appl., 2017)

On the problem of forecasting air pollutant concentration with morphological models. - Ricardo de A. Araújo; Adriano Lorena Inácio de Oliveira; Silvio Romero de Lemos Meira (Neurocomputing, 2017)

Process Mining Discovery Techniques in a Low-Structured Process Works? - Raphael J. D'Castro; Adriano L. I. Oliveira; Augusto H. Terra (BRACIS, 2018)

A Writer-Independent Approach for Offline Signature Verification using Deep Convolutional Neural Networks Features. - Victor L. F. Souza; Adriano L. I. Oliveira; Robert Sabourin (BRACIS, 2018)

SegNetRes-CRF: A Deep Convolutional Encoder-Decoder Architecture for Semantic Image Segmentation. - Luiz Antonio de Oliveira Junior; Heitor R. Medeiros; David Macedo; Cleber Zanchettin; Adriano L. I. Oliveira; Teresa Bernarda Ludermir (IJCNN, 2018)

Aggregation of Time Series Forecasts via Cacoullos Copula. - Ricardo T. A. de Oliveira; Thaize Fernandes O. de Assis; Paulo Renato A. Firmino; Tiago A. E. Ferreira; Adriano L. I. Oliveira (IJCNN, 2018)

Reducing SqueezeNet Storage Size with Depthwise Separable Convolutions. - Aline Gondim Santos; Camila Oliveira de Souza; Cleber Zanchettin; David Macedo; Adriano L. I. Oliveira; Teresa Bernarda Ludermir (IJCNN, 2018)

Characterising text mining: a systematic mapping review of the Portuguese language. - Ellen Souza 001; Danilo Costa; Dayvid Castro; Douglas Vitório; Ingryd Teles; Rafaela Almeida; Tiago Alves 001; Adriano L. I. Oliveira; Cristine Gusmão (IET Softw., 2018)

Evolutionary-morphological learning machines for high-frequency financial time series prediction. - Ricardo de A. Araújo; Nadia Nedjah; José Manoel de Seixas; Adriano L. I. Oliveira; Silvio Romero de Lemos Meira (Swarm Evol. Comput., 2018)

Using Active Learning Sampling Strategies for Ensemble Generation on Opinion Mining. - Douglas Vitório; Ellen Souza 001; Adriano L. I. Oliveira (BRACIS, 2019)

Evaluating Active Learning Sampling Strategies for Opinion Mining in Brazilian Politics Corpora. - Douglas Vitório; Ellen Souza 001; Adriano L. I. Oliveira (EPIA (2), 2019)

Characterization of Handwritten Signature Images in Dissimilarity Representation Space. - Victor L. F. Souza; Adriano L. I. Oliveira; Rafael M. O. Cruz; Robert Sabourin (ICCS (3), 2019)

GMM-VRD: A Gaussian Mixture Model for Dealing With Virtual and Real Concept Drifts. - Gustavo H. F. M. Oliveira; Leandro L. Minku; Adriano L. I. Oliveira (IJCNN, 2019)

On Dissimilarity Representation and Transfer Learning for Offline Handwritten Signature Verification. - Victor L. F. Souza; Adriano L. I. Oliveira; Rafael M. O. Cruz; Robert Sabourin (IJCNN, 2019)

Distinction Maximization Loss: Fast, Scalable, Turnkey, and Native Neural Networks Out-of-Distribution Detection simply by Replacing the SoftMax Loss. - David L. Macêdo; Tsang Ing Ren; Cleber Zanchettin; Adriano L. I. Oliveira; Alain Tapp; Teresa Bernarda Ludermir (CoRR, 2019)

Enhancing batch normalized convolutional networks using displaced rectifier linear units: A systematic comparative study. - David L. Macêdo; Cleber Zanchettin; Adriano L. I. Oliveira; Teresa Bernarda Ludermir (Expert Syst. Appl., 2019)

A deep increasing-decreasing-linear neural network for financial time series prediction. - Ricardo de A. Araújo; Nadia Nedjah; Adriano L. I. Oliveira; Silvio Romero de Lemos Meira (Neurocomputing, 2019)

A sequential learning method with Kalman filter and extreme learning machine for regression and time series forecasting. - Jarley Palmeira Nóbrega; Adriano L. I. Oliveira (Neurocomputing, 2019)

Improving BPSO-based feature selection applied to offline WI handwritten signature verification through overfitting control. - Victor L. F. Souza; Adriano L. I. Oliveira; Rafael M. O. Cruz; Robert Sabourin (GECCO Companion, 2020)

An Investigation of Feature Selection and Transfer Learning for Writer-Independent Offline Handwritten Signature Verification. - Victor L. F. Souza; Adriano L. I. Oliveira; Rafael M. O. Cruz; Robert Sabourin (ICPR, 2020)

KutralNet: A Portable Deep Learning Model for Fire Recognition. - Angel Ayala; Bruno J. T. Fernandes; Francisco Cruz 002; David L. Macêdo; Adriano L. I. Oliveira; Cleber Zanchettin (IJCNN, 2020)

Squeezed Deep 6DoF Object Detection using Knowledge Distillation. - Heitor Felix; Walber M. Rodrigues; David L. Macêdo; Francisco Simões; Adriano L. I. Oliveira; Veronica Teichrieb; Cleber Zanchettin (IJCNN, 2020)

A white-box analysis on the writer-independent dichotomy transformation applied to offline handwritten signature verification. - Victor L. F. Souza; Adriano L. I. Oliveira; Rafael M. O. Cruz; Robert Sabourin (Expert Syst. Appl., 2020)

Swarm optimization clustering methods for opinion mining. - Ellen Souza 001; Diego Santos; Gustavo H. F. M. Oliveira; Alisson Silva; Adriano L. I. Oliveira (Nat. Comput., 2020)

Entropic Out-of-Distribution Detection. - David L. Macêdo; Tsang Ing Ren; Cleber Zanchettin; Adriano L. I. Oliveira; Teresa Bernarda Ludermir (IJCNN, 2021)

Multi-Class Mobile Money Service Financial Fraud Detection by Integrating Supervised Learning with Adversarial Autoencoders. - Julio Cezar Soares Silva; David L. Macêdo; Cleber Zanchettin; Adriano L. I. Oliveira; Adiel Teixeira de Almeida Filho (IJCNN, 2021)

An Information Retrieval Pipeline for Legislative Documents from the Brazilian Chamber of Deputies. - Ellen Souza 001; Douglas Vitório; Gyovana Moriyama; Luiz Santos; Lucas Martins; Mariana Souza; Márcio Fonseca F. da Silva; Nádia Félix; André C. P. L. F. de Carvalho; Hidelberg Oliveira Albuquerque; Adriano L. I. Oliveira (JURIX, 2021)

Identification of Microorganism Colony Odor Signature using InceptionTime. - Paulo M. Vasconcelos; David L. Macêdo; Leandro M. Almeida; Reginaldo G. L. Neto; Clayton A. Benevides; Cleber Zanchettin; Adriano L. I. Oliveira (SMC, 2021)

Tackling Virtual and Real Concept Drifts: An Adaptive Gaussian Mixture Model. - Gustavo H. F. M. Oliveira; Leandro L. Minku; Adriano L. I. Oliveira (CoRR, 2021)

Ensemble Effort Estimation using dynamic selection. - Jose Thiago H. de A. Cabral; Adriano L. I. Oliveira (J. Syst. Softw., 2021)

Detecting Malicious HTTP Requests Without Log Parser Using RequestBERT-BiLSTM. - Levi S. Ramos Júnior; David L. Macêdo; Adriano L. I. Oliveira; Cleber Zanchettin (BRACIS (2), 2022)

Ulysses-RFSQ: A Novel Method to Improve Legal Information Retrieval Based on Relevance Feedback. - Douglas Vitório; Ellen Souza 001; Lucas Martins; Nádia Félix F. da Silva; André Carlos Ponce de Leon Ferreira de Carvalho; Adriano L. I. Oliveira (BRACIS (1), 2022)

Expanding UlyssesNER-Br Named Entity Recognition Corpus with Informal User-Generated Text. - Rosimeire Costa; Hidelberg Oliveira Albuquerque; Gabriel Silvestre; Nádia Félix F. da Silva; Ellen Souza 001; Douglas Vitório; Augusto Nunes; Felipe Siqueira; João Pedro M. Tarrega; João Vitor P. Beinotti; Márcio de Souza Dias; Fabíola S. F. Pereira; et al. (EPIA, 2022)

LogBERT-BiLSTM: Detecting Malicious Web Requests. - Levi S. Ramos Júnior; David L. Macêdo; Adriano L. I. Oliveira; Cleber Zanchettin (ICANN (3), 2022)

An Adapted GRASP Approach for Hyperparameter Search on Deep Networks Applied to Tabular Data. - Andersson A. Da Silva; Amanda S. Xavier; David L. Macêdo; Cleber Zanchettin; Adriano L. I. Oliveira (IJCNN, 2022)

Contrastive Learning of Handwritten Signature Representations for Writer-Independent Verification. - Talles Brito Viana; Victor L. F. Souza; Adriano L. I. Oliveira; Rafael M. O. Cruz; Robert Sabourin (IJCNN, 2022)

UlyssesNER-Br: A Corpus of Brazilian Legislative Documents for Named Entity Recognition. - Hidelberg Oliveira Albuquerque; Rosimeire Costa; Gabriel Silvestre; Ellen Souza 001; Nádia Félix F. da Silva; Douglas Vitório; Gyovana Moriyama; Lucas Martins; Luiza Soezima; Augusto Nunes; Felipe Siqueira; João Pedro M. Tarrega; et al. (PROPOR, 2022)

Multi-human Fall Detection and Localization in Videos. - Mouglas Eugênio Nasário Gomes; David L. Macêdo; Cleber Zanchettin; Paulo Salgado Gomes de Mattos Neto; Adriano L. I. Oliveira (Comput. Vis. Image Underst., 2022)

PictoBERT: Transformers for next pictogram prediction. - Jayr Pereira; David L. Macêdo; Cleber Zanchettin; Adriano Lorena Inácio de Oliveira; Robson do Nascimento Fidalgo (Expert Syst. Appl., 2022)

A three-stage approach for modeling multiple time series applied to symbolic quartile data. - Dailys Maite Aliaga Reyes; Renata M. C. R. de Souza; Adriano L. I. de Oliveira (Expert Syst. Appl., 2022)

Entropic Out-of-Distribution Detection: Seamless Detection of Unknown Examples. - David L. Macêdo; Tsang Ing Ren; Cleber Zanchettin; Adriano L. I. Oliveira; Teresa Bernarda Ludermir (IEEE Trans. Neural Networks Learn. Syst., 2022)

On the Assessment of Deep Learning Models for Named Entity Recognition of Brazilian Legal Documents. - Hidelberg Oliveira Albuquerque; Ellen Souza 001; Adriano L. I. Oliveira; David L. Macêdo; Cleber Zanchettin; Douglas Vitório; Nádia Félix F. da Silva; André C. P. L. F. de Carvalho (EPIA (2), 2023)

Learning What, Where and Which to Transfer. - Lucas de Lima Nogueira; David L. Macêdo; Cleber Zanchettin; Fernando M. P. Neto; Adriano Lorena Inácio de Oliveira (IJCNN, 2023)

Investigating the Usability and Comprehensibility of Process Mining Tools Within an Application-Specific Context. - Thiago De Sousa Araújo; Ricardo Massa Ferreira Lima; Adriano Lorena Inácio de Oliveira; Raphael José D'Castro; Bráulio Gabriel Gusmão; Rafael Leite Paulo; João Thiago De França Guerra (SMC, 2023)

Ensemble Effort Estimation: An updated and extended systematic literature review. - Jose Thiago H. de A. Cabral; Adriano L. I. Oliveira; Fabio Q. B. da Silva (J. Syst. Softw., 2023)

Named Entity Recognition: a Survey for the Portuguese Language. - Hidelberg Oliveira Albuquerque; Ellen Souza 001; Carlos Gomes; Matheus Henrique de C. Pinto; Ricardo P. S. Filho; Rosimeire Costa; Vinícius Teixeira de M. Lopes; Nádia Félix F. da Silva; André C. P. L. F. de Carvalho; Adriano L. I. Oliveira (Proces. del Leng. Natural, 2023)

Tackling Virtual and Real Concept Drifts: An Adaptive Gaussian Mixture Model Approach. - Gustavo H. F. M. Oliveira; Leandro L. Minku; Adriano L. I. Oliveira (IEEE Trans. Knowl. Data Eng., 2023)

A multi-task approach for contrastive learning of handwritten signature feature representations. - Talles Brito Viana; Victor L. F. Souza; Adriano Lorena Inácio de Oliveira; Rafael M. O. Cruz; Robert Sabourin (Expert Syst. Appl., 2023)

An investigation of online and offline learning models for online Just-in-Time Software Defect Prediction. - George G. Cabral; Leandro L. Minku; Adriano L. I. Oliveira; Dinaldo A. Pessoa; Sadia Tabassum (Empir. Softw. Eng., 2023)

Robust Handwritten Signature Representation with Continual Learning of Synthetic Data over Predefined Real Feature Space. - Talles Brito Viana; Victor L. F. Souza; Adriano L. I. Oliveira; Rafael M. O. Cruz; Robert Sabourin (ICDAR (2), 2024)

UlyssesNERQ: Expanding Queries from Brazilian Portuguese Legislative Documents through Named Entity Recognition. - Hidelberg Albuquerque; Ellen Souza 001; Tainan Silva; Rafael P. Gouveia; Flávio Rocha Junior; Douglas Vitório; Nádia Félix F. da Silva; André C. P. L. F. de Carvalho; Adriano Lorena Inácio de Oliveira; Francisco Edmundo de Andrade (PROPOR (1), 2024)

Parametrized linear regression for boxplot-multivalued data applied to the Brazilian Electric Sector. - Dailys Maite Aliaga Reyes; Leandro Carlos de Souza; Renata M. C. R. de Souza; Adriano L. I. de Oliveira (Inf. Sci., 2024)

Sighted particles: improving swarm optimization by making particles aware of their surroundings. - 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 (Evol. Intell., 2024)

Correction to: An investigation of online and offline learning models for online just-in-time software defect prediction. - George G. Cabral; Leandro L. Minku; Adriano L. I. Oliveira; Dinaldo A. Pessoa; Sadia Tabassum (Empir. Softw. Eng., 2024)

BM25 x Vila Sésamo: avaliando modelos Sentence-BERT para Recuperação de Informação no cenário legislativo brasileiro. - Douglas Vitório; Ellen Souza 001; José Antônio dos Santos; André Carlos Ponce de Leon Ferreira de Carvalho; Adriano Lorena Inácio de Oliveira; Nádia Félix F. da Silva (Linguamática, 2025)

Ulysses Tesemõ: a new large corpus for Brazilian legal and governmental domain. - Felipe Alves Siqueira; Douglas Vitório; Ellen Souza 001; José A. P. Santos; Hidelberg Oliveira Albuquerque; Márcio de Souza Dias; Nádia Félix F. da Silva; André C. P. L. F. de Carvalho; Adriano L. I. Oliveira; Carmelo J. A. Bastos Filho (Lang. Resour. Evaluation, 2025)

Building a relevance feedback corpus for legal information retrieval in the real-case scenario of the Brazilian Chamber of Deputies. - Douglas Vitório; Ellen Souza 001; Lucas Martins; Nádia Félix F. da Silva; André Carlos Ponce de Leon Ferreira de Carvalho; Adriano Lorena Inácio de Oliveira; Francisco Edmundo de Andrade (Lang. Resour. Evaluation, 2025)