Bernardete Ribeiro

Orcid: 0000-0002-9770-7672

According to our database1, Bernardete Ribeiro authored at least 232 papers between 1995 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
SecFL - Secure Federated Learning Framework for predicting defects in sheet metal forming under variability.
Expert Syst. Appl., January, 2024

2023
Few-shot learning with transformers via graph embeddings for molecular property prediction.
Expert Syst. Appl., September, 2023

Few-shot learning via graph embeddings with convolutional networks for low-data molecular property prediction.
Neural Comput. Appl., June, 2023

Video Action Recognition Collaborative Learning with Dynamics via PSO-ConvNet Transformer.
CoRR, 2023

On the Quantization of Recurrent Neural Networks for Smiles Generation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Optimizing Object Detection Models via Active Learning.
Proceedings of the Pattern Recognition and Image Analysis - 11th Iberian Conference, 2023

Towards Interpretability in Fintech Applications via Knowledge Augmentation.
Proceedings of the Progress in Artificial Intelligence, 2023

Enhancing Pest Detection Models Through Improved Annotations.
Proceedings of the Progress in Artificial Intelligence, 2023

Forecasting Functional Time Series Using Federated Learning.
Proceedings of the Engineering Applications of Neural Networks, 2023

Improving Pest Detection via Transfer Learning.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2023

A human-centric approach to aid in assessing maintenance from the sustainable manufacturing perspective.
Proceedings of the 14th International Conference on Ambient Systems, 2023

2022
Correction to: Designing optimized drug candidates with Generative Adversarial Network.
J. Cheminformatics, 2022

Designing optimized drug candidates with Generative Adversarial Network.
J. Cheminformatics, 2022

Action Recognition for American Sign Language.
CoRR, 2022

PSO-Convolutional Neural Networks With Heterogeneous Learning Rate.
IEEE Access, 2022

A Generic Approach to Extend Interpretability of Deep Networks.
Proceedings of the Progress in Artificial Intelligence, 2022

Deep Model for Anticancer Drug Response through Genomic Profiles and Compound Structures.
Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

2021
Drug-Target Interaction Prediction: End-to-End Deep Learning Approach.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Fast-DENSER: Fast Deep Evolutionary Network Structured Representation.
SoftwareX, 2021

Diversity oriented Deep Reinforcement Learning for targeted molecule generation.
J. Cheminformatics, 2021

Optimizing blood-brain barrier permeation through deep reinforcement learning for de novo drug design.
Bioinform., 2021

A Compressive Receding Horizon Approach for Smart Home Energy Management.
IEEE Access, 2021

Improvement on Generative Adversarial Network for Targeted Drug Design.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Decay Momentum for Improving Federated Learning.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Multiobjective Reinforcement Learning in Optimized Drug Design.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Interpreting Decision Patterns in Financial Applications.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2021

Optimizing Recurrent Neural Network Architectures for De Novo Drug Design.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

2020
Boosting dynamic ensemble's performance in Twitter.
Neural Comput. Appl., 2020

NanoSen-AQM: From Sensors to Users.
Int. J. Online Biomed. Eng., 2020

Prediction of the Remaining Useful Life of Aircraft Systems via Web Interface.
Int. J. Online Biomed. Eng., 2020

Rethinking Recurrent Neural Networks and other Improvements for Image Classification.
CoRR, 2020

GPU-based fast clustering via K-Centres and k-NN mode seeking for geospatial industry applications.
Comput. Ind., 2020

Learning non-convex abstract concepts with regulated activation networks.
Ann. Math. Artif. Intell., 2020

A Survey on Home Energy Management.
IEEE Access, 2020

Reconstructing Abstract Concepts and their Blends Via Computational Cognitive Modeling.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

End-to-end Deep Reinforcement Learning for Targeted Drug Generation.
Proceedings of the ICCBB 2020: 4th International Conference on Computational Biology and Bioinformatics, Bali Island, Indonesia, 27 December, 2021, 2020

Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution.
Proceedings of the Applications of Evolutionary Computation - 23rd European Conference, 2020

Incremental Evolution and Development of Deep Artificial Neural Networks.
Proceedings of the Genetic Programming - 23rd European Conference, 2020

Exploring a Siamese Neural Network Architecture for One-Shot Drug Discovery.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

2019
Active learning metamodeling for policy analysis: Application to an emergency medical service simulator.
Simul. Model. Pract. Theory, 2019

Shaping graph pattern mining for financial risk.
Neurocomputing, 2019

Multi-label learning vector quantization for semi-supervised classification.
Intell. Data Anal., 2019

DENSER: deep evolutionary network structured representation.
Genet. Program. Evolvable Mach., 2019

Fast-DENSER++: Evolving Fully-Trained Deep Artificial Neural Networks.
CoRR, 2019

Application for Monitoring and Prediction of Energy and Water Consumption in Domestic Cyber-Physical Systems.
Proceedings of the Cyber-physical Systems and Digital Twins, 2019

Advanced Capsule Networks via Context Awareness.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

Deep Neural Network Architecture for Drug-Target Interaction Prediction.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

An Improvement for Capsule Networks Using Depthwise Separable Convolution.
Proceedings of the Pattern Recognition and Image Analysis - 9th Iberian Conference, 2019

Hierarchical Deep Learning Approach for Plant Disease Detection.
Proceedings of the Pattern Recognition and Image Analysis - 9th Iberian Conference, 2019

An Online Platform For Real-Time Air Quality Monitoring.
Proceedings of the 2019 5th Experiment International Conference (exp.at'19), 2019

Smart Home Energy Management Supported by Cloud Computing.
Proceedings of the 2019 5th Experiment International Conference (exp.at'19), 2019

Web-based tool for predicting the Remaining Useful Lifetime of Aircraft Components.
Proceedings of the 2019 5th Experiment International Conference (exp.at'19), 2019

Online Simulation of Methods to Predict the Remaining Useful Lifetime of Aircraft Components.
Proceedings of the 2019 5th Experiment International Conference (exp.at'19), 2019

A Hybrid Application for Real-Time Air Quality Monitoring.
Proceedings of the 2019 5th Experiment International Conference (exp.at'19), 2019

Fast DENSER: Efficient Deep NeuroEvolution.
Proceedings of the Genetic Programming - 22nd European Conference, 2019

2018
Efficient Transport Simulation With Restricted Batch-Mode Active Learning.
IEEE Trans. Intell. Transp. Syst., 2018

Optimization of selective ensemble for cost-sensitive classification: An empirical study.
Intell. Decis. Technol., 2018

Retweet Predictive Model for Predicting the Popularity of Tweets.
Proceedings of the Tenth International Conference on Soft Computing and Pattern Recognition, 2018

Learning in Twitter Streams with 280 Character Tweets.
Proceedings of the Tenth International Conference on Soft Computing and Pattern Recognition, 2018

Dynamic Human Gait VGRF Reference Profile Generation via Extreme Learning Machine.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Perceiving Abstract Concepts Via Evolving Computational Cognitive Modeling.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Adaptive Learning Models Evaluation in Twitter's Timelines.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Active Learning for Input Space Exploration in Traffic Simulators.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Evolving the Topology of Large Scale Deep Neural Networks.
Proceedings of the Genetic Programming - 21st European Conference, 2018

Using GP Is NEAT: Evolving Compositional Pattern Production Functions.
Proceedings of the Genetic Programming - 21st European Conference, 2018

Model Prediction of Defects in Sheet Metal Forming Processes.
Proceedings of the Engineering Applications of Neural Networks, 2018

Automatic Evolution of AutoEncoders for Compressed Representations.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
Importance Weighted Import Vector Machine for Unsupervised Domain Adaptation.
IEEE Trans. Cybern., 2017

Learning Supervised Topic Models for Classification and Regression from Crowds.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

A Bayesian Additive Model for Understanding Public Transport Usage in Special Events.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Improve credit scoring using transfer of learned knowledge from self-organizing map.
Neural Comput. Appl., 2017

Financial credit risk assessment via learning-based hashing.
Intell. Decis. Technol., 2017

Adaptive learning for dynamic environments: A comparative approach.
Eng. Appl. Artif. Intell., 2017

A Comparison of Algorithms for Intrusion Detection on Batch and Data Stream Environments.
CoRR, 2017

Towards the Evolution of Multi-Layered Neural Networks: A Dynamic Structured Grammatical Evolution Approach.
CoRR, 2017

Probabilistic modeling and visualization for bankruptcy prediction.
Appl. Soft Comput., 2017

A Grassmannian Approach to Zero-Shot Learning for Network Intrusion Detection.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Novel Trends in Scaling Up Machine Learning Algorithms.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Performance Metrics for Model Fusion in Twitter Data Drifts.
Proceedings of the Pattern Recognition and Image Analysis - 8th Iberian Conference, 2017

Offline and online deep learning for image recognition.
Proceedings of the 2017 4th Experiment@International Conference (exp.at'17), 2017

Finding the Critical Sampling of Big Datasets.
Proceedings of the Computing Frontiers Conference, 2017

Automatic generation of neural networks with structured Grammatical Evolution.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Towards tangible benefits of corporate failure prediction with business sector: A comparative study.
Intell. Decis. Technol., 2016

Convex Hull Calculations: a Matlab Implementation and Correctness Proofs for the lrs-Algorithm.
CoRR, 2016

Financial credit risk assessment: a recent review.
Artif. Intell. Rev., 2016

Multiclass Ensemble of One-against-all SVM Classifiers.
Proceedings of the Advances in Neural Networks - ISNN 2016, 2016

Visualization of Individual Ensemble Classifier Contributions.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2016

Sampling and Evaluating the Big Data for Knowledge Discovery.
Proceedings of the International Conference on Internet of Things and Big Data, 2016

Attribute Learning for Network Intrusion Detection.
Proceedings of the Advances in Big Data, 2016

Mahalanobis distance metric learning algorithm for instance-based data stream classification.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Automatic graphic logo detection via Fast Region-based Convolutional Networks.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Choice of Best Samples for Building Ensembles in Dynamic Environments.
Proceedings of the Engineering Applications of Neural Networks, 2016

Trading off Distance Metrics vs Accuracy in Incremental Learning Algorithms.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016

How Deep Can We Rely on Emotion Recognition.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016

2015
Analysis of trends in seasonal electrical energy consumption via non-negative tensor factorization.
Neurocomputing, 2015

Aggregated local models via subspace clustering.
Intell. Decis. Technol., 2015

Comparative study of classifier ensembles for cost-sensitive credit risk assessment.
Intell. Data Anal., 2015

Active Manifold Learning with Twitter Big Data.
Proceedings of the INNS Conference on Big Data 2015, 2015

Learning the hash code with generalised regression neural networks for handwritten signature biometric data retrieval.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

The impact of longstanding messages in micro-blogging classification.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

The Critical Feature Dimension and Critical Sampling Problems.
Proceedings of the ICPRAM 2015, 2015

DOTS: Drift Oriented Tool System.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

On the Impact of Distance Metrics in Instance-Based Learning Algorithms.
Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015

Learning Supervised Topic Models from Crowds.
Proceedings of the Third AAAI Conference on Human Computation and Crowdsourcing, 2015

A Structural Pattern Mining Approach for Credit Risk Assessment.
Proceedings of the Hybrid Artificial Intelligent Systems - 10th International Conference, 2015

Credit Prediction Using Transfer of Learning via Self-Organizing Maps to Neural Networks.
Proceedings of the Engineering Applications of Neural Networks, 2015

2014
Electrical Signal Source Separation Via Nonnegative Tensor Factorization Using On Site Measurements in a Smart Home.
IEEE Trans. Instrum. Meas., 2014

Towards adaptive learning with improved convergence of deep belief networks on graphics processing units.
Pattern Recognit., 2014

Sequence labeling with multiple annotators.
Mach. Learn., 2014

Signature identification via efficient feature selection and GPU-based SVM classifier.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Ensemble learning for keyword extraction from event descriptions.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Exploring the performance of non-negative multi-way factorization for household electrical seasonal consumption disaggregation.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Mining the Big Data: The Critical Feature Dimension Problem.
Proceedings of the IIAI 3rd International Conference on Advanced Applied Informatics, 2014

Hashing for Financial Credit Risk Analysis.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Concept Drift Awareness in Twitter Streams.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

Gaussian Process Classification and Active Learning with Multiple Annotators.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Improving the Generalization Capacity of Cascade Classifiers.
IEEE Trans. Cybern., 2013

Learning from multiple annotators: Distinguishing good from random labelers.
Pattern Recognit. Lett., 2013

Influence of class distribution on cost-sensitive learning: A case study of bankruptcy analysis.
Intell. Data Anal., 2013

Customized crowds and active learning to improve classification.
Expert Syst. Appl., 2013

Clustering and visualization of bankruptcy trajectory using self-organizing map.
Expert Syst. Appl., 2013

CrowdTargeting: Making Crowds More Personal.
Proceedings of the 8th International Workshop on Semantic and Social Media Adaptation and Personalization, 2013

On the Regularization Parameter Selection for Sparse Code Learning in Electrical Source Separation.
Proceedings of the Adaptive and Natural Computing Algorithms, 2013

Defining Semantic Meta-hashtags for Twitter Classification.
Proceedings of the Adaptive and Natural Computing Algorithms, 2013

A Consensus Approach for Combining Multiple Classifiers in Cost-Sensitive Bankruptcy Prediction.
Proceedings of the Adaptive and Natural Computing Algorithms, 2013

Extreme Learning Classifier with Deep Concepts.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

2012
Home electrical signal disaggregation for non-intrusive load monitoring (NILM) systems.
Neurocomputing, 2012

Towards a hybrid NMF-based neural approach for face recognition on GPUs.
Int. J. Data Min. Model. Manag., 2012

Enhanced default risk models with SVM+.
Expert Syst. Appl., 2012

Restricted Boltzmann Machines and Deep Belief Networks on multi-core processors.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Credit Scoring for SME Using a Manifold Supervised Learning Algorithm.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

Biclustering and Subspace Learning with Regularization for Financial Risk Analysis.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Multi-threaded Support Vector Machines for Pattern Recognition.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

An Incremental Hypersphere Learning Framework for Protein Membership Prediction.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012

Space time frequency (STF) code tensor for the characterization of the epileptic preictal stage.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Improving Convergence of Restricted Boltzmann Machines via a Learning Adaptive Step Size.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012

2011
An Evaluation of Multiple Feed-Forward Networks on GPUs.
Int. J. Neural Syst., 2011

A stable credit rating model based on learning vector quantization.
Intell. Data Anal., 2011

A genetic algorithm-based approach to cost-sensitive bankruptcy prediction.
Expert Syst. Appl., 2011

Wavelet Decomposition and Singular Spectrum Analysis for electrical signal denoising.
Proceedings of the IEEE International Conference on Systems, 2011

Get Your Jokes Right: Ask the Crowd.
Proceedings of the Model and Data Engineering - First International Conference, 2011

Smart home: A novel model for denoising an electrical signal.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

On using crowdsourcing and active learning to improve classification performance.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Non-intrusive Residential Electrical Consumption Traces.
Proceedings of the Ambient Intelligence - Software and Applications, 2011

Graph weighted subspace learning models in bankruptcy.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

A fast optimized semi-supervised non-negative Matrix Factorization algorithm.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Purging False Negatives in Cancer Diagnosis Using Incremental Active Learning.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

The Importance of Precision in Humour Classification.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

Deep Belief Networks for Financial Prediction.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

An Incremental Class Boundary Preserving Hypersphere Classifier.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Evaluation of a Resource Allocating Network with Long Term Memory Using GPU.
Proceedings of the Adaptive and Natural Computing Algorithms, 2011

A Robust Learning Model for Dealing with Missing Values in Many-Core Architectures.
Proceedings of the Adaptive and Natural Computing Algorithms, 2011

An Experimental Study on Electrical Signature Identification of Non-Intrusive Load Monitoring (NILM) Systems.
Proceedings of the Adaptive and Natural Computing Algorithms, 2011

A Hybrid AIS-SVM Ensemble Approach for Text Classification.
Proceedings of the Adaptive and Natural Computing Algorithms, 2011

Locating Information-hiding in MP3 Audio.
Proceedings of the ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence, Volume 1, 2011

Bankruptcy Trajectory Analysis on French Companies Using Self-Organizing Map.
Proceedings of the Progress in Artificial Intelligence, 2011

Deep Learning Networks for Off-Line Handwritten Signature Recognition.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2011

2010
Inductive Inference for Large Scale Text Classification: Kernel Approaches and Techniques
Studies in Computational Intelligence 255, Springer, ISBN: 978-3-642-04532-5, 2010

Distributed Text Classification With an Ensemble Kernel-Based Learning Approach.
IEEE Trans. Syst. Man Cybern. Part C, 2010

An improved approach to steganalysis of JPEG images.
Inf. Sci., 2010

Feature Selection for Bankruptcy Prediction: A Multi-Objective Optimization Approach.
Int. J. Nat. Comput. Res., 2010

Multi-Objective Evolutionary Algorithms for Feature Selection: Application in Bankruptcy Prediction.
Proceedings of the Simulated Evolution and Learning - 8th International Conference, 2010

Improving recall values in breast cancer diagnosis with Incremental Background Knowledge.
Proceedings of the International Joint Conference on Neural Networks, 2010

Financial distress model prediction using SVM+.
Proceedings of the International Joint Conference on Neural Networks, 2010

High-performance bankruptcy prediction model using Graphics Processing Units.
Proceedings of the International Joint Conference on Neural Networks, 2010

A strategy for dealing with missing values by using selective activation neurons in a multi-topology framework.
Proceedings of the International Joint Conference on Neural Networks, 2010

Non-negative Matrix Factorization Implementation Using Graphic Processing Units.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2010

Extracting Features from an Electrical Signal of a Non-Intrusive Load Monitoring System.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2010

Weighted Learning Vector Quantization to Cost-Sensitive Learning.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

Stochastic GPU-based Multithread Implementation of Multiple Back-propagation.
Proceedings of the ICAART 2010 - Proceedings of the International Conference on Agents and Artificial Intelligence, Volume 1, 2010

GPUMLib: A new Library to combine Machine Learning algorithms with Graphics Processing Units.
Proceedings of the 10th International Conference on Hybrid Intelligent Systems (HIS 2010), 2010

A Hybrid Face Recognition Approach Using GPUMLib.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2010

2009
Control of a Biped Robot With Support Vector Regression in Sagittal Plane.
IEEE Trans. Instrum. Meas., 2009

Knowledge Extraction with Non-Negative Matrix Factorization for Text Classification.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009

GPU Implementation of the Multiple Back-Propagation Algorithm.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009

Accurate Prediction of Financial Distress of Companies with Machine Learning Algorithms.
Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009

Improving Visualization, Scalability and Performance of Multiclass Problems with SVM Manifold Learning.
Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009

Extracting Discriminative Features Using Non-negative Matrix Factorization in Financial Distress Data.
Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009

Improving Text Classification Performance with Incremental Background Knowledge.
Proceedings of the Artificial Neural Networks, 2009

Using Expanded Markov Process and Joint Distribution Features for JPEG Steganalysis.
Proceedings of the ICAART 2009 - Proceedings of the International Conference on Agents and Artificial Intelligence, Porto, Portugal, January 19, 2009

Cost-Sensitive Learning Vector Quantization for Financial Distress Prediction.
Proceedings of the Progress in Artificial Intelligence, 2009

Fast Pattern Classification of Ventricular Arrhythmias Using Graphics Processing Units.
Proceedings of the Progress in Pattern Recognition, 2009

Classification of Mass Spectrometry Data - Using Manifold and Supervised Distance Metric Learning.
Proceedings of the BIOSIGNALS 2009, 2009

2008
Image complexity and feature mining for steganalysis of least significant bit matching steganography.
Inf. Sci., 2008

Towards Expanding Relevance Vector Machines to Large Scale Datasets.
Int. J. Neural Syst., 2008

Evaluation system for e-learning with pattern mining tools.
Proceedings of the IEEE International Conference on Systems, 2008

Steganalysis of multi-class JPEG images based on expanded Markov features and polynomial fitting.
Proceedings of the International Joint Conference on Neural Networks, 2008

Building resilient classifiers for LSB matching steganography.
Proceedings of the International Joint Conference on Neural Networks, 2008

Improving Personal Credit Scoring with HLVQ-C.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Learning Manifolds for Bankruptcy Analysis.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Selecting Examples in Manifold Reduced Feature Space for Active Learning.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

Distributed Ensemble Learning in Text Classification.
Proceedings of the ICEIS 2008, 2008

Several Enhancements to Hermite-Based Approximation of One-Variable Functions.
Proceedings of the Artificial Neural Networks, 2008

Text Classification on Embedded Manifolds.
Proceedings of the Advances in Artificial Intelligence, 2008

Supervised Isomap with Dissimilarity Measures in Embedding Learning.
Proceedings of the Progress in Pattern Recognition, 2008

2007
On Text-based Mining with Active Learning and Background Knowledge Using SVM.
Soft Comput., 2007

Choosing Real-Time Predictors for Ventricular Arrhythmia Detection.
Int. J. Pattern Recognit. Artif. Intell., 2007

Biased Support Vector Machines and Kernel Methods for Intrusion Detection.
Proceedings of the World Congress on Engineering, 2007

Combining active learning and relevance vector machines for text classification.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

Boosting RVM Classifiers for Large Data Sets.
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

Support, Relevance and Spectral Learning for Time Series.
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

An ECG compression approach based on a segment dictionary and bezier approximations.
Proceedings of the 15th European Signal Processing Conference, 2007

2006
Scaling Text Classification with Relevance Vector Machines.
Proceedings of the IEEE International Conference on Systems, 2006

Sparse Bayesian Models: Bankruptcy-Predictors of Choice?
Proceedings of the International Joint Conference on Neural Networks, 2006

Automated Learning of RVM for Large Scale Text Sets: Divide to Conquer.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

Image Complexity and Feature Extraction for Steganalysis of LSB Matching Steganography.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Two-Level Hierarchical Hybrid SVM-RVM Classification Model.
Proceedings of the Fifth International Conference on Machine Learning and Applications, 2006

2005
Support vector machines for quality monitoring in a plastic injection molding process.
IEEE Trans. Syst. Man Cybern. Part C, 2005

Selective Classification and Regression Models Based on Support Vector Clustering.
Neural Parallel Sci. Comput., 2005

On the Evaluation of Minkovsky Kernel for SVMs.
Neural Parallel Sci. Comput., 2005

Speeding-up text categorization in a grid computing environment.
Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005

2004
Margin-Based Active Learning and Background Knowledge in Text Mining.
Proceedings of the 4th International Conference on Hybrid Intelligent Systems (HIS 2004), 2004

2003
An Efficient Gradient-based Learning Algorithm Applied to Neural Networks with Selective Actuation Neurons.
Neural Parallel Sci. Comput., 2003

Navigating mobile robots with a modular neural architecture.
Neural Comput. Appl., 2003

On the Evaluation of Text Processing in Text Categorization.
Proceedings of the 2003 International Conference on Machine Learning and Applications, 2003

A framework for neural quality control systems design.
Proceedings of the Artificial Neural Nets and Genetic Algorithms, 2003

An Inductive Inference Approach to Large Scale Text Categorisation.
Proceedings of the Artificial Neural Nets and Genetic Algorithms, 2003

Learning Adaptive Kernels for Model Diagnosis.
Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003

2002
Bayes Information Criterion for Tikhonov Regularization with Linear Constraints: Application to Spectral Data Estimation.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

Mercer's Kernel Based Learning for Fault Detection.
Proceedings of the Soft Computing Systems - Design, Management and Applications, 2002

2001
A neural network for shortest path computation.
IEEE Trans. Neural Networks, 2001

On the estimation of spectral data: a genetic algorithm approach.
Proceedings of the 2001 International Conference on Image Processing, 2001

Learning Spectral Calibration Parameters For Color Inspection.
Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001

2000
MONODA: A Neural Modular Architecture for Obstacle Avoidance without Knowledge of the Environment.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999
On the Use of Neural Networks and Geometrical Criteria for Localisation of Highly Irregular Elliptical Shapes.
Pattern Anal. Appl., 1999

Fault detection in a thermoplastic injection molding process using neural networks.
Proceedings of the International Joint Conference Neural Networks, 1999

Monitoring an Industrial Plastic Injection Moulding Machine Using Neural Networks.
Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1999

A neural prediction model for monitoring and fault diagnosis of a plastic injection moulding process.
Proceedings of the 5th European Control Conference, 1999

1997
A Model-based Neural Network Controller for a Process Trainer Laboratory Equipment.
Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1997

1995
Contribuição para a modelização, supervisão e controlo de sistemas multivariáveis não lineares por redes neuronais com aplicação a um forno de cal
PhD thesis, 1995

Industrial Kiln Multivariable Control: MNN and RBFNN Approaches.
Proceedings of the Artificial Neural Nets and Genetic Algorithms, 1995

Lime Kiln Fault Detection and Diagnosis by Neural Networks.
Proceedings of the Artificial Neural Nets and Genetic Algorithms, 1995


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