Adriano Lorena Inácio de Oliveira
Orcid: 0000-0002-5614-229X
According to our database1,
Adriano Lorena Inácio de Oliveira
authored at least 148 papers
between 2003 and 2024.
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Bibliography
2024
Sighted particles: improving swarm optimization by making particles aware of their surroundings.
Evol. Intell., April, 2024
Parametrized linear regression for boxplot-multivalued data applied to the Brazilian Electric Sector.
Inf. Sci., January, 2024
UlyssesNERQ: Expanding Queries from Brazilian Portuguese Legislative Documents through Named Entity Recognition.
Proceedings of the 16th International Conference on Computational Processing of Portuguese, 2024
2023
An investigation of online and offline learning models for online Just-in-Time Software Defect Prediction.
Empir. Softw. Eng., October, 2023
A multi-task approach for contrastive learning of handwritten signature feature representations.
Expert Syst. Appl., May, 2023
Tackling Virtual and Real Concept Drifts: An Adaptive Gaussian Mixture Model Approach.
IEEE Trans. Knowl. Data Eng., 2023
Proces. del Leng. Natural, 2023
J. Syst. Softw., 2023
Investigating the Usability and Comprehensibility of Process Mining Tools Within an Application-Specific Context.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
On the Assessment of Deep Learning Models for Named Entity Recognition of Brazilian Legal Documents.
Proceedings of the Progress in Artificial Intelligence, 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
A three-stage approach for modeling multiple time series applied to symbolic quartile data.
Expert Syst. Appl., 2022
Comput. Vis. Image Underst., 2022
UlyssesNER-Br: A Corpus of Brazilian Legislative Documents for Named Entity Recognition.
Proceedings of the Computational Processing of the Portuguese Language, 2022
Contrastive Learning of Handwritten Signature Representations for Writer-Independent Verification.
Proceedings of the International Joint Conference on Neural Networks, 2022
An Adapted GRASP Approach for Hyperparameter Search on Deep Networks Applied to Tabular Data.
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022
Expanding UlyssesNER-Br Named Entity Recognition Corpus with Informal User-Generated Text.
Proceedings of the Progress in Artificial Intelligence, 2022
Ulysses-RFSQ: A Novel Method to Improve Legal Information Retrieval Based on Relevance Feedback.
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022
2021
CoRR, 2021
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
An Information Retrieval Pipeline for Legislative Documents from the Brazilian Chamber of Deputies.
Proceedings of the Legal Knowledge and Information Systems, 2021
Multi-Class Mobile Money Service Financial Fraud Detection by Integrating Supervised Learning with Adversarial Autoencoders.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
A white-box analysis on the writer-independent dichotomy transformation applied to offline handwritten signature verification.
Expert Syst. Appl., 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
An Investigation of Feature Selection and Transfer Learning for Writer-Independent Offline Handwritten Signature Verification.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Improving BPSO-based feature selection applied to offline WI handwritten signature verification through overfitting control.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
2019
A sequential learning method with Kalman filter and extreme learning machine for regression and time series forecasting.
Neurocomputing, 2019
A deep increasing-decreasing-linear neural network for financial time series prediction.
Neurocomputing, 2019
Enhancing batch normalized convolutional networks using displaced rectifier linear units: A systematic comparative study.
Expert Syst. Appl., 2019
Distinction Maximization Loss: Fast, Scalable, Turnkey, and Native Neural Networks Out-of-Distribution Detection simply by Replacing the SoftMax Loss.
CoRR, 2019
On Dissimilarity Representation and Transfer Learning for Offline Handwritten Signature Verification.
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Characterization of Handwritten Signature Images in Dissimilarity Representation Space.
Proceedings of the Computational Science - ICCS 2019, 2019
Evaluating Active Learning Sampling Strategies for Opinion Mining in Brazilian Politics Corpora.
Proceedings of the Progress in Artificial Intelligence, 2019
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019
2018
Evolutionary-morphological learning machines for high-frequency financial time series prediction.
Swarm Evol. Comput., 2018
IET Softw., 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
SegNetRes-CRF: A Deep Convolutional Encoder-Decoder Architecture for Semantic Image Segmentation.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
A Writer-Independent Approach for Offline Signature Verification using Deep Convolutional Neural Networks Features.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018
2017
Neurocomputing, 2017
A class of hybrid multilayer perceptrons for software development effort estimation problems.
Expert Syst. Appl., 2017
Eng. Appl. Artif. Intell., 2017
Automatic trading method based on piecewise aggregate approximation and multi-swarm of improved self-adaptive particle swarm optimization with validation.
Decis. Support Syst., 2017
Smoothed n-gram based models for tweet language identification: A case study of the Brazilian and European Portuguese national varieties.
Appl. Soft Comput., 2017
Investigating Opinion Mining through Language Varieties: a Case Study of Brazilian and European Portuguese tweets.
Proceedings of the 11th Brazilian Symposium in Information and Human Language Technology, 2017
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
The Impact of Dataset Complexity on Transfer Learning over Convolutional Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017
2016
Expert Syst. Appl., 2016
Characterizing User-Generated Text Content Mining: A Systematic Mapping Study of the Portuguese Language.
Proceedings of the New Advances in Information Systems and Technologies, 2016
Characterizing Opinion Mining: A Systematic Mapping Study of the Portuguese Language.
Proceedings of the Computational Processing of the Portuguese Language, 2016
TOPIE: An Open-Source Opinion Mining Pipeline to Analyze Consumers' Sentiment in Brazilian Portuguese.
Proceedings of the Computational Processing of the Portuguese Language, 2016
Copulas-based ensemble of Artificial Neural Networks for forecasting real world time series.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
A probabilistic and dynamic chart pattern recognition hybrid system applied to foreign exchange rate prediction.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016
Discriminating between Brazilian and European Portuguese National Varieties on Twitter Texts.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016
Novelty Detection Based on Genuine Normal and Artificially Generated Novelty Examples.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016
2015
Hybrid methods for fuzzy clustering based on fuzzy c-means and improved particle swarm optimization.
Expert Syst. Appl., 2015
Kalman filter-based method for Online Sequential Extreme Learning Machine for regression problems.
Eng. Appl. Artif. Intell., 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].
Proceedings of the annual conference on Brazilian Symposium on Information Systems, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
An approach to handle concept drift in financial time series based on Extreme Learning Machines and explicit Drift Detection.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
A Model with Evolutionary Covariance-based Learning for High-Frequency Financial Forecasting.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
2014
Expert Syst. Appl., 2014
A combination forecasting model using machine learning and Kalman filter for statistical arbitrage.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014
An autonomous trader agent for the stock market based on online sequential extreme learning machine ensemble.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Sliding window-based analysis of multiple foreign exchange trading systems by using soft computing techniques.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
2013
Preprocessing unbalanced data using weighted support vector machines for prediction of heart disease in children.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Improving the Statistical Arbitrage Strategy in Intraday Trading by Combining Extreme Learning Machine and Support Vector Regression with Linear Regression Models.
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013
Automatic method for stock trading combining technical analysis and the Artificial Bee Colony Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
A learning process based on covariance matrix adaptation for morphological-linear perceptrons.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
2012
Neural Networks, 2012
Expert Syst. Appl., 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012
Comparative Study of FOREX Trading Systems Built with SVR+GHSOM and Genetic Algorithms Optimization of Technical Indicators.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012
Proceedings of the Neural Information Processing - 19th International Conference, 2012
One-Class Classification through Optimized Feature Boundaries Detection and Prototype Reduction.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012
2011
Expert Syst. Appl., 2011
Proceedings of the IEEE International Conference on Systems, 2011
A novel one-class classification method based on feature analysis and prototype reduction.
Proceedings of the IEEE International Conference on Systems, 2011
Proceedings of the IEEE International Conference on Systems, 2011
Proceedings of the IEEE International Conference on Systems, 2011
Designing dilation-erosion perceptrons with differential evolutionary learning for air pressure forecasting.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
An evolutionary approach to design dilation-erosion perceptrons for stock market indices forecasting.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
2010
GA-based method for feature selection and parameters optimization for machine learning regression applied to software effort estimation.
Inf. Softw. Technol., 2010
A method for automatic stock trading combining technical analysis and nearest neighbor classification.
Expert Syst. Appl., 2010
Proceedings of the IEEE International Conference on Systems, 2010
Overcoming the random walk dilemma using a Covariance Matrix Adaptation Evolutionary method.
Proceedings of the IEEE International Conference on Systems, 2010
Hybrid evolutionary quantum inspired method to adjust time phase distortions in financial time series.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010
A hybrid method for novelty detection in time series based on states transitions and swarm intelligence.
Proceedings of the International Joint Conference on Neural Networks, 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
Hybrid Intelligent Design of Morphological-Rank-Linear Perceptrons for Software Development Cost Estimation.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010
A covariance matrix adaptation based evolutionary methodology for phase adjustment in financial time series forecasting.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
2009
Combining nearest neighbor data description and structural risk minimization for one-class classification.
Neural Comput. Appl., 2009
A novel hybrid training method for hopfield neural networks applied to routing in communications networks.
Int. J. Hybrid Intell. Syst., 2009
Predicting Stock Trends through Technical Analysis and Nearest Neighbor Classification.
Proceedings of the IEEE International Conference on Systems, 2009
Proceedings of the ICTAI 2009, 2009
2008
Neurocomputing, 2008
Historical Document Image Binarization.
Proceedings of the VISAPP 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications, Funchal, Madeira, Portugal, January 22-25, 2008, 2008
Adjusting Weights and Architecture of Neural Networks through PSO with Time-Varying Parameters and Early Stopping.
Proceedings of the 10th Brazilian Symposium on Neural Networks (SBRN 2008), 2008
A GA-based feature selection and parameters optimization for support vector regression applied to software effort estimation.
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008
A fast and reliable routing algorithm based on Hopfield Neural Networks optimized by Particle Swarm Optimization.
Proceedings of the International Joint Conference on Neural Networks, 2008
A Comparative Analysis of One-class Structural Risk Minimization by Support Vector Machines and Nearest Neighbor Rule.
Proceedings of the Artificial Intelligence in Theory and Practice II, 2008
Enhancing RBF-DDA Algorithm's Robustness: Neural Networks Applied to Prediction of Fault-Prone Software Modules.
Proceedings of the Artificial Intelligence in Theory and Practice II, 2008
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008
Handwritten Digit Segmentation in Images of Historical Documents with One-Class Classifiers.
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008
2007
A Hybrid Hopfield Network-Simulated Annealing approach to Optimize Routing Processes in Telecommunications Networks.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007
A Novel Method for One-Class Classification Based on the Nearest Neighbor Data Description and Structural Risk Minimization.
Proceedings of the International Joint Conference on Neural Networks, 2007
Proceedings of the International Joint Conference on Neural Networks, 2007
A Constructive RBF Neural Network for Estimating the Probability of Defects in Software Modules.
Proceedings of the International Joint Conference on Neural Networks, 2007
Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007
Comparative Study of Clustering Techniques for the Organization of Software Repositories.
Proceedings of the 7th International Conference on Hybrid Intelligent Systems, 2007
Software Effort Estimation using Machine Learning Techniques with Robust Confidence Intervals.
Proceedings of the 7th International Conference on Hybrid Intelligent Systems, 2007
A Novel Approach for a Routing Algorithm Based on a Discrete Time Hopfield Neural Network.
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007
2006
Detecting novelties in time series through neural networks forecasting with robust confidence intervals.
Neurocomputing, 2006
Neurocomputing, 2006
On the Influence of Parameter theta<sup>-</sup> on Performance of Rbf Neural Networks Trained with the Dynamic Decay Adjustment Algorithm.
Int. J. Neural Syst., 2006
Proceedings of the SBRN 2006, 2006
Improving RBF-DDA Performance on Optical Character Recognition through Weights Adjustment.
Proceedings of the International Joint Conference on Neural Networks, 2006
2005
Improving constructive training of RBF networks through selective pruning and model selection.
Neurocomputing, 2005
A Comparative Study on Machine Learning Techniques for Prediction of Success of Dental Implants.
Proceedings of the MICAI 2005: Advances in Artificial Intelligence, 2005
A Study on the Influence of Parameter ?- on Performance of RBF Neural Networks Trained with the Dynamic Decay Adjustment Algorithm.
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005
A Comparative Study on Support Vector Machine and Constructive RBF Neural Network for Prediction of Success of Dental Implants.
Proceedings of the Progress in Pattern Recognition, 2005
2004
Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 2004
Improving RBF-DDA Performance on Optical Character Recognition through Parameter Selection.
Proceedings of the 17th International Conference on Pattern Recognition, 2004
Proceedings of the Advances in Artificial Intelligence, 2004
A Method Based on RBF-DDA Neural Networks for Improving Novelty Detection in Time Series.
Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference, 2004
2003
Novelty Detection for Short Time Series with Neural Networks.
Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003