Adriano L. I. Oliveira

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 65

Top Venues

Publications

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
Sighted particles: improving swarm optimization by making particles aware of their surroundings. Evol. Intell. 17 (2) (2024)
Gustavo H. F. M. Oliveira, Leandro L. Minku, Adriano L. I. Oliveira
Tackling Virtual and Real Concept Drifts: An Adaptive Gaussian Mixture Model Approach. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Hidelberg Oliveira Albuquerque, Ellen Souza, Adriano L. I. Oliveira, David Macêdo, Cleber Zanchettin, Douglas Vitório, Nádia Félix F. da Silva, André C. P. L. F. de Carvalho
On the Assessment of Deep Learning Models for Named Entity Recognition of Brazilian Legal Documents. EPIA (2) (2023)
Hidelberg Oliveira Albuquerque, Ellen Souza, 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
Named Entity Recognition: a Survey for the Portuguese Language. Proces. del Leng. Natural 70 (2023)
George G. Cabral, Leandro L. Minku, Adriano L. I. Oliveira, Dinaldo A. Pessoa, Sadia Tabassum
An investigation of online and offline learning models for online Just-in-Time Software Defect Prediction. Empir. Softw. Eng. 28 (5) (2023)
Jose Thiago H. de A. Cabral, Adriano L. I. Oliveira, Fabio Q. B. da Silva
Ensemble Effort Estimation: An updated and extended systematic literature review. J. Syst. Softw. 195 (2023)
Talles Brito Viana, Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin
Contrastive Learning of Handwritten Signature Representations for Writer-Independent Verification. IJCNN (2022)
Andersson A. Silva, Amanda S. Xavier, David Macêdo, Cleber Zanchettin, Adriano L. I. Oliveira
An Adapted GRASP Approach for Hyperparameter Search on Deep Networks Applied to Tabular Data. IJCNN (2022)
Mouglas Eugênio Nasário Gomes, David Macêdo, Cleber Zanchettin, Paulo Salgado Gomes de Mattos Neto, Adriano L. I. Oliveira
Multi-human Fall Detection and Localization in Videos. Comput. Vis. Image Underst. 220 (2022)
Levi S. Ramos Júnior, David Macêdo, Adriano L. I. Oliveira, Cleber Zanchettin
Detecting Malicious HTTP Requests Without Log Parser Using RequestBERT-BiLSTM. BRACIS (2) (2022)
Douglas Vitório, Ellen Souza, Lucas Martins, Nádia Félix F. da Silva, André Carlos Ponce de Leon Ferreira de Carvalho, Adriano L. I. Oliveira
Ulysses-RFSQ: A Novel Method to Improve Legal Information Retrieval Based on Relevance Feedback. BRACIS (1) (2022)
Hidelberg Oliveira Albuquerque, Rosimeire Costa, Gabriel Silvestre, Ellen Souza, Nádia Félix F. da Silva, Douglas Vitório, Gyovana Moriyama, Lucas Martins, Luiza Soezima, Augusto Nunes, Felipe Siqueira, João Pedro M. Tarrega, João Vitor P. Beinotti, Marcio Dias, Matheus Silva, Miguel de Mattos Gardini, Vinícius Adolfo Pereira da Silva, André C. P. L. F. de Carvalho, Adriano L. I. Oliveira
UlyssesNER-Br: A Corpus of Brazilian Legislative Documents for Named Entity Recognition. PROPOR (2022)
Levi S. Ramos Júnior, David Macêdo, Adriano L. I. Oliveira, Cleber Zanchettin
LogBERT-BiLSTM: Detecting Malicious Web Requests. ICANN (3) (2022)
David Macêdo, Tsang Ing Ren, Cleber Zanchettin, Adriano L. I. Oliveira, Teresa Bernarda Ludermir
Entropic Out-of-Distribution Detection: Seamless Detection of Unknown Examples. IEEE Trans. Neural Networks Learn. Syst. 33 (6) (2022)
David Macêdo, Tsang Ing Ren, Cleber Zanchettin, Adriano L. I. Oliveira, Teresa Bernarda Ludermir
Entropic Out-of-Distribution Detection. IJCNN (2021)
Ellen Souza, 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 O. Albuquerque, Adriano L. I. Oliveira
An Information Retrieval Pipeline for Legislative Documents from the Brazilian Chamber of Deputies. JURIX (2021)
Jose Thiago H. de A. Cabral, Adriano L. I. Oliveira
Ensemble Effort Estimation using dynamic selection. J. Syst. Softw. 175 (2021)
Gustavo H. F. M. Oliveira, Leandro L. Minku, Adriano L. I. Oliveira
Tackling Virtual and Real Concept Drifts: An Adaptive Gaussian Mixture Model. CoRR (2021)
Julio Cezar Soares Silva, David Macêdo, Cleber Zanchettin, Adriano L. I. Oliveira, Adiel Teixeira de Almeida Filho
Multi-Class Mobile Money Service Financial Fraud Detection by Integrating Supervised Learning with Adversarial Autoencoders. IJCNN (2021)
Paulo M. Vasconcelos, David Macêdo, Leandro M. Almeida, Reginaldo G. L. Neto, Clayton A. Benevides, Cleber Zanchettin, Adriano L. I. Oliveira
Identification of Microorganism Colony Odor Signature using InceptionTime. SMC (2021)
Angel Ayala, Bruno J. T. Fernandes, Francisco Cruz, David Macêdo, Adriano L. I. Oliveira, Cleber Zanchettin
KutralNet: A Portable Deep Learning Model for Fire Recognition. IJCNN (2020)
Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin
Improving BPSO-based feature selection applied to offline WI handwritten signature verification through overfitting control. GECCO Companion (2020)
Angel Ayala, Bruno J. T. Fernandes, Francisco Cruz, David Macêdo, Adriano L. I. Oliveira, Cleber Zanchettin
KutralNet: A Portable Deep Learning Model for Fire Recognition. CoRR (2020)
Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin
A white-box analysis on the writer-independent dichotomy transformation applied to offline handwritten signature verification. Expert Syst. Appl. 154 (2020)
Heitor Felix, Walber M. Rodrigues, David Macêdo, Francisco Simões, Adriano L. I. Oliveira, Veronica Teichrieb, Cleber Zanchettin
Squeezed Deep 6DoF Object Detection using Knowledge Distillation. IJCNN (2020)
Ellen Souza, Diego Santos, Gustavo H. F. M. Oliveira, Alisson Silva, Adriano L. I. Oliveira
Swarm optimization clustering methods for opinion mining. Nat. Comput. 19 (3) (2020)
Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin
Improving BPSO-based feature selection applied to offline WI handwritten signature verification through overfitting control. CoRR (2020)
Heitor Felix, Walber M. Rodrigues, David Macêdo, Francisco Simões, Adriano L. I. Oliveira, Veronica Teichrieb, Cleber Zanchettin
Squeezed Deep 6DoF Object Detection Using Knowledge Distillation. CoRR (2020)
Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin
An Investigation of Feature Selection and Transfer Learning for Writer-Independent Offline Handwritten Signature Verification. ICPR (2020)
Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin
An Investigation of Feature Selection and Transfer Learning for Writer-Independent Offline Handwritten Signature Verification. CoRR (2020)
Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin
A white-box analysis on the writer-independent dichotomy transformation applied to offline handwritten signature verification. CoRR (2020)
David Macêdo, Tsang Ing Ren, Cleber Zanchettin, Adriano L. I. Oliveira, Alain Tapp, Teresa Bernarda Ludermir
Distinction Maximization Loss: Fast, Scalable, Turnkey, and Native Neural Networks Out-of-Distribution Detection simply by Replacing the SoftMax Loss. CoRR (2019)
David Macêdo, Cleber Zanchettin, Adriano L. I. Oliveira, Teresa Bernarda Ludermir
Enhancing batch normalized convolutional networks using displaced rectifier linear units: A systematic comparative study. Expert Syst. Appl. 124 (2019)
Douglas Vitório, Ellen Souza, Adriano L. I. Oliveira
Evaluating Active Learning Sampling Strategies for Opinion Mining in Brazilian Politics Corpora. EPIA (2) (2019)
Douglas Vitório, Ellen Souza, Adriano L. I. Oliveira
Using Active Learning Sampling Strategies for Ensemble Generation on Opinion Mining. BRACIS (2019)
Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin
Characterization of Handwritten Signature Images in Dissimilarity Representation Space. ICCS (3) (2019)
Jarley Palmeira Nóbrega, Adriano L. I. Oliveira
A sequential learning method with Kalman filter and extreme learning machine for regression and time series forecasting. Neurocomputing 337 (2019)
Ricardo de A. Araújo, Nadia Nedjah, Adriano L. I. Oliveira, Silvio Romero de Lemos Meira
A deep increasing-decreasing-linear neural network for financial time series prediction. Neurocomputing 347 (2019)
Gustavo H. F. M. Oliveira, Leandro L. Minku, Adriano L. I. Oliveira
GMM-VRD: A Gaussian Mixture Model for Dealing With Virtual and Real Concept Drifts. IJCNN (2019)
Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin
On Dissimilarity Representation and Transfer Learning for Offline Handwritten Signature Verification. IJCNN (2019)
Ricardo de A. Araújo, Nadia Nedjah, José Manoel de Seixas, Adriano L. I. Oliveira, Silvio Romero de Lemos Meira
Evolutionary-morphological learning machines for high-frequency financial time series prediction. Swarm Evol. Comput. 42 (2018)
Ellen Souza, Danilo Costa, Dayvid Castro, Douglas Vitório, Ingryd Teles, Rafaela Almeida, Tiago Alves, Adriano L. I. Oliveira, Cristine Gusmão
Characterising text mining: a systematic mapping review of the Portuguese language. IET Softw. 12 (2) (2018)
Victor L. F. Souza, Adriano L. I. Oliveira, Robert Sabourin
A Writer-Independent Approach for Offline Signature Verification using Deep Convolutional Neural Networks Features. BRACIS (2018)
Victor L. F. Souza, Adriano L. I. Oliveira, Robert Sabourin
A writer-independent approach for offline signature verification using deep convolutional neural networks features. CoRR (2018)
Luiz Antonio de Oliveira Junior, Heitor R. Medeiros, David Macedo, Cleber Zanchettin, Adriano L. I. Oliveira, Teresa Bernarda Ludermir
SegNetRes-CRF: A Deep Convolutional Encoder-Decoder Architecture for Semantic Image Segmentation. IJCNN (2018)
Aline Gondim Santos, Camila Oliveira de Souza, Cleber Zanchettin, David Macedo, Adriano L. I. Oliveira, Teresa Bernarda Ludermir
Reducing SqueezeNet Storage Size with Depthwise Separable Convolutions. IJCNN (2018)
Ricardo T. A. de Oliveira, Thaize Fernandes O. de Assis, Paulo Renato A. Firmino, Tiago A. E. Ferreira, Adriano L. I. Oliveira
Aggregation of Time Series Forecasts via Cacoullos Copula. IJCNN (2018)
Raphael J. D'Castro, Adriano L. I. Oliveira, Augusto H. Terra
Process Mining Discovery Techniques in a Low-Structured Process Works? BRACIS (2018)
Dayvid Castro, Ellen Souza, Douglas Vitório, Diego Santos, Adriano L. I. Oliveira
Smoothed n-gram based models for tweet language identification: A case study of the Brazilian and European Portuguese national varieties. Appl. Soft Comput. 61 (2017)
Hector N. B. Pinheiro, Fernando M. P. Neto, Adriano L. I. Oliveira, Tsang Ing Ren, George D. C. Cavalcanti, André Gustavo Adami
Optimizing speaker-specific filter banks for speaker verification. ICASSP (2017)
Douglas Vitório, Ellen Polliana Ramos Souza, Ingryd Pereira, Adriano L. I. Oliveira
Investigating Opinion Mining through Language Varieties: a Case Study of Brazilian and European Portuguese tweets. STIL (2017)
Gustavo H. F. M. Oliveira, Rodolfo C. Cavalcante, George G. Cabral, Leandro L. Minku, Adriano L. I. Oliveira
Time Series Forecasting in the Presence of Concept Drift: A PSO-based Approach. ICTAI (2017)
Jose Thiago H. de A. Cabral, Ricardo de A. Araújo, Jarley Palmeira Nóbrega, Adriano L. I. Oliveira
Heterogeneous Ensemble Dynamic Selection for Software Development Effort Estimation. ICTAI (2017)
Rodrigo C. Brasileiro, Victor L. F. Souza, Adriano L. I. Oliveira
Automatic trading method based on piecewise aggregate approximation and multi-swarm of improved self-adaptive particle swarm optimization with validation. Decis. Support Syst. 104 (2017)
Ricardo de A. Araújo, Adriano L. I. Oliveira, Silvio Romero de Lemos Meira
A morphological neural network for binary classification problems. Eng. Appl. Artif. Intell. 65 (2017)
Miguel D. de S. Wanderley, Leonardo de A. e Bueno, Cleber Zanchettin, Adriano L. I. Oliveira
The Impact of Dataset Complexity on Transfer Learning over Convolutional Neural Networks. ICANN (2) (2017)
Ricardo de A. Araújo, Adriano L. I. Oliveira, Silvio Romero de Lemos Meira
A class of hybrid multilayer perceptrons for software development effort estimation problems. Expert Syst. Appl. 90 (2017)
Ellen Souza, Tiago Alves, Ingryd Teles, Adriano L. I. Oliveira, Cristine Gusmão
TOPIE: An Open-Source Opinion Mining Pipeline to Analyze Consumers' Sentiment in Brazilian Portuguese. PROPOR (2016)
Rodolfo C. Cavalcante, Leandro L. Minku, Adriano L. I. Oliveira
FEDD: Feature Extraction for Explicit Concept Drift Detection in time series. IJCNN (2016)
Ellen Souza, Adriano L. I. Oliveira, Gustavo H. F. M. Oliveira, Alisson Silva, Diego Santos
An Unsupervised Particle Swarm Optimization Approach for Opinion Clustering. BRACIS (2016)
Ricardo T. A. de Oliveira, Thaize Fernandes O. de Assis, Paulo Renato A. Firmino, Tiago A. E. Ferreira, Adriano L. I. Oliveira
Copulas-based ensemble of Artificial Neural Networks for forecasting real world time series. IJCNN (2016)
Rodrigo F. B. de Brito, Adriano L. I. Oliveira
A probabilistic and dynamic chart pattern recognition hybrid system applied to foreign exchange rate prediction. IJCNN (2016)
Ellen Souza, Douglas Vitório, Dayvid Castro, Adriano L. I. Oliveira, Cristine Gusmão
Characterizing Opinion Mining: A Systematic Mapping Study of the Portuguese Language. PROPOR (2016)
Rodolfo C. Cavalcante, Rodrigo C. Brasileiro, Victor L. F. Souza, Jarley Palmeira Nóbrega, Adriano L. I. Oliveira
Computational Intelligence and Financial Markets: A Survey and Future Directions. Expert Syst. Appl. 55 (2016)
Ellen Souza, Dayvid Castro, Douglas Vitório, Ingryd Teles, Adriano L. I. Oliveira, Cristine Gusmão
Characterizing User-Generated Text Content Mining: A Systematic Mapping Study of the Portuguese Language. WorldCIST (1) (2016)
Kassio R. Coquita, Arley Ramalho R. Ristar, Adriano L. I. Oliveira, Patrícia C. A. R. Tedesco
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]. SBSI (2015)
Victor L. F. Souza, Rodrigo C. Brasileiro, Adriano L. I. Oliveira
A PAA-PSO technique for investment strategies in the financial market. IJCNN (2015)
Rodolfo C. Cavalcante, Adriano L. I. Oliveira
An approach to handle concept drift in financial time series based on Extreme Learning Machines and explicit Drift Detection. IJCNN (2015)
Telmo de Menezes e Silva Filho, Bruno A. Pimentel, Renata M. C. R. Souza, Adriano L. I. Oliveira
Hybrid methods for fuzzy clustering based on fuzzy c-means and improved particle swarm optimization. Expert Syst. Appl. 42 (17-18) (2015)
Ricardo de A. Araújo, Adriano L. I. Oliveira, Silvio Romero de Lemos Meira
A Model with Evolutionary Covariance-based Learning for High-Frequency Financial Forecasting. GECCO (2015)
Jarley Palmeira Nóbrega, Adriano L. I. Oliveira
A combination forecasting model using machine learning and Kalman filter for statistical arbitrage. SMC (2014)
Rodrigo F. B. de Brito, Adriano L. I. Oliveira
Sliding window-based analysis of multiple foreign exchange trading systems by using soft computing techniques. IJCNN (2014)
Rodolfo C. Cavalcante, Adriano L. I. Oliveira
An autonomous trader agent for the stock market based on online sequential extreme learning machine ensemble. IJCNN (2014)
George G. Cabral, Adriano L. I. Oliveira
One-Class Classification based on searching for the problem features limits. Expert Syst. Appl. 41 (16) (2014)
Ricardo de A. Araújo, Adriano L. I. Oliveira, Silvio R. L. Meira
A learning process based on covariance matrix adaptation for morphological-linear perceptrons. IEEE Congress on Evolutionary Computation (2013)
Rodrigo C. Brasileiro, Victor L. F. Souza, Bruno J. T. Fernandes, Adriano L. I. Oliveira
Automatic method for stock trading combining technical analysis and the Artificial Bee Colony Algorithm. IEEE Congress on Evolutionary Computation (2013)
Thiago Tavares, Adriano L. I. Oliveira, George G. Cabral, Sandra da Silva Mattos, Renata Grigorio
Preprocessing unbalanced data using weighted support vector machines for prediction of heart disease in children. IJCNN (2013)
Rodrigo F. B. de Brito, Adriano L. I. Oliveira
Comparative Study of FOREX Trading Systems Built with SVR+GHSOM and Genetic Algorithms Optimization of Technical Indicators. ICTAI (2012)
Ricardo de A. Araújo, Adriano L. I. Oliveira, Silvio R. L. Meira
A Hybrid Model for S&P500 Index Forecasting. ICANN (2) (2012)
George G. Cabral, Adriano L. I. Oliveira
One-Class Classification through Optimized Feature Boundaries Detection and Prototype Reduction. ICANN (1) (2012)
Ricardo de A. Araújo, Sérgio Soares, Adriano L. I. Oliveira
Hybrid morphological methodology for software development cost estimation. Expert Syst. Appl. 39 (6) (2012)
Ricardo de A. Araújo, Adriano L. I. Oliveira, Sérgio Soares, Silvio R. L. Meira
An evolutionary morphological approach for software development cost estimation. Neural Networks 32 (2012)
Ricardo de A. Araújo, Adriano L. I. Oliveira, Silvio R. L. Meira
A Dilation-Erosion-Linear Perceptron for Bovespa Index Prediction. IDEAL (2012)
Rodrigo F. B. de Brito, Adriano L. I. Oliveira
A foreign exchange market trading system by combining GHSOM and SVR. IJCNN (2012)
Ricardo de A. Araújo, Adriano L. I. Oliveira, Sérgio C. B. Soares, Silvio R. L. Meira
Designing dilation-erosion perceptrons with differential evolutionary learning for air pressure forecasting. IJCNN (2011)
Ricardo Araujo Costa, Adriano L. I. Oliveira, Sérgio Soares, Silvio Romero de Lemos Meira
An evolutionary approach to design dilation-erosion perceptrons for stock market indices forecasting. GECCO (2011)
Ricardo de A. Araújo, Adriano L. I. Oliveira, Sérgio Soares, Silvio R. L. Meira
Dilation-erosion perceptrons with evolutionary learning for weather forecasting. SMC (2011)
Ricardo de A. Araújo, Adriano L. I. Oliveira, Sérgio C. B. Soares, Silvio R. L. Meira
Gradient-based morphological approach for software development cost estimation. IJCNN (2011)
Miguel E. R. Bezerra, Adriano L. I. Oliveira, Paulo J. L. Adeodato
Predicting software defects: A cost-sensitive approach. SMC (2011)
George G. Cabral, Adriano L. I. Oliveira
A hybrid method for novelty detection in time series based on states transitions and swarm intelligence. IJCNN (2010)
Adriano L. I. Oliveira, Petrônio L. Braga, Ricardo Massa Ferreira Lima, Márcio Cornélio
GA-based method for feature selection and parameters optimization for machine learning regression applied to software effort estimation. Inf. Softw. Technol. 52 (11) (2010)
Renata M. Carvalho, Ricardo Massa Ferreira Lima, Adriano L. I. Oliveira, Felix C. G. Santos
Scheduling parallel jobs for multiphysics simulators. IEEE Congress on Evolutionary Computation (2010)
George G. Cabral, Adriano L. I. Oliveira, Carlos B. G. Cahu
Combining nearest neighbor data description and structural risk minimization for one-class classification. Neural Comput. Appl. 18 (2) (2009)
Wesnaida H. Schuler, Carmelo J. A. Bastos Filho, Adriano L. I. Oliveira
A novel hybrid training method for hopfield neural networks applied to routing in communications networks. Int. J. Hybrid Intell. Syst. 6 (1) (2009)
Lamartine Almeida Teixeira, Adriano L. I. Oliveira
Predicting Stock Trends through Technical Analysis and Nearest Neighbor Classification. SMC (2009)
Lamartine Almeida Teixeira, Felipe T. G. Oliveira, Adriano L. I. Oliveira, Carmelo J. A. Bastos Filho
Adjusting Weights and Architecture of Neural Networks through PSO with Time-Varying Parameters and Early Stopping. SBRN (2008)
Carmelo J. A. Bastos Filho, Wesnaida H. Schuler, Adriano L. I. Oliveira
A fast and reliable routing algorithm based on Hopfield Neural Networks optimized by Particle Swarm Optimization. IJCNN (2008)
Miguel E. R. Bezerra, Adriano L. I. Oliveira, Paulo J. L. Adeodato, Silvio R. L. Meira
Enhancing RBF-DDA Algorithm's Robustness: Neural Networks Applied to Prediction of Fault-Prone Software Modules. IFIP AI (2008)
Carlos A. B. Mello, Adriano L. I. Oliveira, Ángel Sánchez
Historical Document Image Binarization. VISAPP (1) (2008)
Adriano L. I. Oliveira, Flavio R. G. Costa, Clovis O. S. Filho
Novelty detection with constructive probabilistic neural networks. Neurocomputing 71 (4-6) (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Adriano L. I. Oliveira