B. Ribeiro

Bernardete Ribeiro, Francisco C. Pereira, Francisco Antunes, 2019, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

Active learning metamodeling for policy analysis: Application to an emergency medical service simulator

Bernardete Ribeiro, Francisco C. Pereira, Marco Amorim, 2019, Simul. Model. Pract. Theory.

Efficient Transport Simulation With Restricted Batch-Mode Active Learning

Bernardete Ribeiro, Francisco C. Pereira, Rui Gomes, 2018, IEEE Transactions on Intelligent Transportation Systems.

Active Learning for Input Space Exploration in Traffic Simulators

Francisco Antunes, Bernardete Ribeiro, Francisco C. Pereira, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Detecting urban water consumption patterns: a time-series clustering approach

Bernardete Ribeiro, Alberto Cardoso, José Alfeu Almeida de Sá Marques, 2019, Water Supply.

Categorisation of Urban Water Consumptions

Bernardete Ribeiro, Alberto Cardoso, Paulo Gil, 2018 .

Emulating Cued Recall of Abstract Concepts via Regulated Activation Networks

Bernardete Ribeiro, Amílcar Cardoso, Alexandre Miguel Pinto, 2021, Applied Sciences.

Learning non-convex abstract concepts with regulated activation networks

Bernardete Ribeiro, F. Amílcar Cardoso, Rahul Sharma, 2020, Annals of Mathematics and Artificial Intelligence.

Exploring Geometric Feature Hyper-Space in Data to Learn Representations of Abstract Concepts

Bernardete Ribeiro, Rahul Sharma, Alexandre Miguel Pinto, 2020, Applied Sciences.

Perceiving Abstract Concepts Via Evolving Computational Cognitive Modeling

Bernardete Ribeiro, Alexandre Miguel Pinto, F. Amílcar Cardoso, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Modeling Abstract Concepts For Internet of Everything: A Cognitive Artificial System

Bernardete Ribeiro, Alexandre Miguel Pinto, Rahul Sharma, 2018, 2018 13th APCA International Conference on Control and Soft Computing (CONTROLO).

Bayes information criterion for Tikhonov regularization with linear constraints: application to spectral data estimation

Bernardete Ribeiro, Paulo Carvalho, Amâncio Santos, 2002, Object recognition supported by user interaction for service robots.

An Experimental Study on Electrical Signature Identification of Non-Intrusive Load Monitoring (NILM) Systems

Bernardete Ribeiro, Marisa B. Figueiredo, Ana de Almeida, 2011, ICANNGA.

Statistical Correlations and Machine Learning for Steganalysis

Qingzhong Liu, Andrew H. Sung, Bernardete Ribeiro, 2005 .

Computational intelligence in manufacturing quality control

Bernardete Ribeiro, B. Ribeiro, 2004 .

Support Vector Machines in Fault Tolerance Control

Bernardete Ribeiro, B. Ribeiro, 2002 .

Wavelet Decomposition and Singular Spectrum Analysis for electrical signal denoising

Bernardete Ribeiro, Marisa B. Figueiredo, Ana de Almeida, 2011, 2011 IEEE International Conference on Systems, Man, and Cybernetics.

A neural network for shortest path computation

Bernardete Ribeiro, Luís E. T. Rodrigues, Filipe Araújo, 2001, IEEE Trans. Neural Networks.

Active Manifold Learning with Twitter Big Data

Bernardete Ribeiro, Mário Antunes, Catarina Silva, 2015, INNS Conference on Big Data.

Improving Visualization, Scalability and Performance of Multiclass Problems with SVM Manifold Learning

Bernardete Ribeiro, Catarina Silva, B. Ribeiro, 2009, ICANNGA.

Selecting Examples in Manifold Reduced Feature Space for Active Learning

Bernardete Ribeiro, Catarina Silva, B. Ribeiro, 2008, 2008 Seventh International Conference on Machine Learning and Applications.

Text Classification on Embedded Manifolds

Bernardete Ribeiro, Catarina Silva, B. Ribeiro, 2008, IBERAMIA.

Internet of Things Meets Computer Vision to Make an Intelligent Pest Monitoring Network

B. Ribeiro, B. Cardoso, Joana Cósta, 2022, Applied Sciences.

Computational Intelligent Techniques for Financial Distress Detection

Andrew H. Sung, Bernardete Ribeiro, Srinivas Mukkamala, 2006 .

Exploring a Siamese Neural Network Architecture for One-Shot Drug Discovery

Bernardete Ribeiro, Luis Torres, Nelson Monteiro, 2020, 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE).

Combining active learning and relevance vector machines for text classification

Bernardete Ribeiro, Catarina Silva, B. Ribeiro, 2007, Sixth International Conference on Machine Learning and Applications (ICMLA 2007).

Learning Adaptive Kernels for Model Diagnosis

Bernardete Ribeiro, B. Ribeiro, 2003, HIS.

Sequence labeling with multiple annotators

Bernardete Ribeiro, Francisco C. Pereira, Filipe Rodrigues, 2013, Machine Learning.

SVR Controller for a Biped Robot with a Human-like Gait Subjected to External Sagittal Forces

Bernardete Ribeiro, Joao P. Ferreira, A. Paulo Coimbra, 2011 .

Comparison of Gene Selection and Machine Learning for Tumor Classification

Qingzhong Liu, Andrew H. Sung, Bernardete Ribeiro, 2016 .

NanoSen-AQM: From Sensors to Users

Bernardete Ribeiro, Alberto Cardoso, Paulo Gil, 2020, Int. J. Online Biomed. Eng..

An Online Platform For Real-Time Air Quality Monitoring

Bernardete Ribeiro, Paulo Gil, Alberto Cardoso, 2019, 2019 5th Experiment International Conference (exp.at'19).

Stochastic GPU-based Multithread Implementation of Multiple Back-propagation

Noel Lopes, Bernardete Ribeiro, B. Ribeiro, 2010, ICAART.

Evaluation system for e-learning with pattern mining tools

Bernardete Ribeiro, Alberto Cardoso, B. Ribeiro, 2008, 2008 IEEE International Conference on Systems, Man and Cybernetics.

Behavior Pattern Mining during the Evaluation Phase in an e-Learning Course

Bernardete Ribeiro, Alberto Cardoso, B. Ribeiro, 2007 .

Importance Weighted Import Vector Machine for Unsupervised Domain Adaptation

Urbano J. Nunes, Bernardete Ribeiro, Sirvan Khalighi, 2017, IEEE Transactions on Cybernetics.

Enhanced default risk models with SVM+

Ning Chen, Bernardete Ribeiro, Catarina Silva, 2012, Expert Syst. Appl..

Simulation control of a biped robot with Support Vector Regression

J.P. Ferreira, M. Crisostomo, A.P. Coimbra, 2007, 2007 IEEE International Symposium on Intelligent Signal Processing.

Few-shot learning via graph embeddings with convolutional networks for low-data molecular property prediction

Joel P. Arrais, B. Ribeiro, Luis Torres, 2023, Neural Computing and Applications.

Diversity oriented Deep Reinforcement Learning for targeted molecule generation

Joel P. Arrais, B Ribeiro, T Pereira, 2020, Journal of Cheminformatics.

Gaussian Process Classification and Active Learning with Multiple Annotators

Bernardete Ribeiro, Francisco C. Pereira, Filipe Rodrigues, 2014, ICML.

Learning from multiple annotators: Distinguishing good from random labelers

Bernardete Ribeiro, Francisco C. Pereira, Filipe Rodrigues, 2013, Pattern Recognit. Lett..

Non-negative Matrix Factorization Implementation Using Graphic Processing Units

Noel Lopes, Bernardete Ribeiro, B. Ribeiro, 2010, IDEAL.

Improve credit scoring using transfer of learned knowledge from self-organizing map

Ning Chen, Bernardete Ribeiro, Ali AghaeiRad, 2016, Neural Computing and Applications.

Support vector machines for quality monitoring in a plastic injection molding process

Bernardete Ribeiro, B. Ribeiro, 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

Shaping graph pattern mining for financial risk

Ning Chen, Bernardete Ribeiro, Alexander Kovacec, 2017, Neurocomputing.

Modeling epileptic brain states using EEG spectral analysis and topographic mapping

Bernardete Ribeiro, Francisco Sales, António Dourado, 2012, Journal of Neuroscience Methods.

A Survey on Home Energy Management

Bernardete Ribeiro, Joaquim Leitão, Paulo Gil, 2020, IEEE Access.

Application of Bees Algorithm to Reduce Household's Energy Costs via Load Deferment

Bernardete Ribeiro, Alberto Cardoso, Joaquim Leitao, 2018, 2018 10th International Conference on Information Technology and Electrical Engineering (ICITEE).

Boosting dynamic ensemble’s performance in Twitter

Bernardete Ribeiro, Joana Costa, Catarina Silva, 2019, Neural Computing and Applications.

DENSER: deep evolutionary network structured representation

Nuno Lourenço, Penousal Machado, Bernardete Ribeiro, 2018, Genetic Programming and Evolvable Machines.

Mercer's Kernel Based Learning for Fault Detection

B. Ribeiro, P. Carvalho, 2002, HIS.

On the performance of learning machines for bankruptcy detection

A.H. Sung, B. Ribeiro, S. Mukkamala, 2004, Second IEEE International Conference on Computational Cybernetics, 2004. ICCC 2004..

Kolmogorov’s Theorem: From Algebraic Equations and Nomography to Neural Networks

Bernardete Ribeiro, Alexander Kovačec, B. Ribeiro, 1993 .

Probabilistic modeling and visualization for bankruptcy prediction

Bernardete Ribeiro, Francisco C. Pereira, Francisco Antunes, 2017, Appl. Soft Comput..

Improve credit scoring using transfer of learned knowledge from self-organizing map

B. Ribeiro, Ningshan Chen, Ali AghaeiRad, 2017, Neural computing & applications (Print).

Introduction to Deep Learning Business Applications for Developers

Bernardete Ribeiro, Armando Vieira, B. Ribeiro, 2018, Apress.

On Text-based Mining with Active Learning and Background Knowledge Using SVM

Bernardete Ribeiro, Catarina Silva, B. Ribeiro, 2007, Soft Comput..

Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution

Nuno Lourenço, Bernardete Ribeiro, Penousal Machado, 2020, EvoApplications.

Steganalysis of multi-class JPEG images based on expanded Markov features and polynomial fitting

Qingzhong Liu, Andrew H. Sung, Bernardete Ribeiro, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Drug-Target Interaction Prediction: End-to-End Deep Learning Approach

Bernardete Ribeiro, Joel Arrais, Nelson R C Monteiro, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Financial credit risk assessment: a recent review

Ning Chen, Bernardete Ribeiro, An Chen, 2015, Artificial Intelligence Review.

Learning Supervised Topic Models for Classification and Regression from Crowds

Bernardete Ribeiro, Filipe Rodrigues, Francisco C. Pereira, 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Space time frequency (STF) code tensor for the characterization of the epileptic preictal stage

Bernardete Ribeiro, César Alexandre Teixeira, Miguel Castelo-Branco, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Remaining Useful Life Estimation in Aircraft Components with Federated Learning

Bernardete Ribeiro, Catarina Silva, Raúl H. Rosero, 2020 .

Support Vector Machines (SVMs)

Noel Lopes, Bernardete Ribeiro, B. Ribeiro, 2015 .

Clustering and visualization of bankruptcy trajectory using self-organizing map

Bernardete Ribeiro, Ning Chen, An Chen, 2013, Expert Syst. Appl..

Adaptive learning for dynamic environments: A comparative approach

Bernardete Ribeiro, Mário Antunes, Catarina Silva, 2017, Eng. Appl. Artif. Intell..

An Evaluation of Multiple Feed-Forward Networks on GPUs

Noel Lopes, Bernardete Ribeiro, B. Ribeiro, 2011, Int. J. Neural Syst..

GPUMLib: A new Library to combine Machine Learning algorithms with Graphics Processing Units

Noel Lopes, Bernardete Ribeiro, Ricardo Quintas, 2010, 2010 10th International Conference on Hybrid Intelligent Systems.

High-performance bankruptcy prediction model using Graphics Processing Units

Noel Lopes, Bernardete Ribeiro, Catarina Silva, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Customized crowds and active learning to improve classification

Bernardete Ribeiro, Mário Antunes, Catarina Silva, 2013, Expert Syst. Appl..

Aircraft Maintenance Check Scheduling Using Reinforcement Learning

Bernardete Ribeiro, Catarina Silva, B. F. Santos, 2021, Aerospace.

Influence of class distribution on cost-sensitive learning: A case study of bankruptcy analysis

Bernardete Ribeiro, An Chen, Ning Chen, 2013, Intell. Data Anal..

Handling Missing Values via a Neural Selective Input Model

Noel Lopes, Bernardete Ribeiro, B. Ribeiro, 2012 .

Automatic graphic logo detection via Fast Region-based Convolutional Networks

Bernardete Ribeiro, Xavier Frazão, André Pimentel, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Optimizing blood–brain barrier permeation through deep reinforcement learning for de novo drug design

Joel P. Arrais, B. Ribeiro, Maryam Abbasi, 2021, Bioinform..

Deep Neural Network Models

Bernardete Ribeiro, Armando Vieira, B. Ribeiro, 2018 .

Restricted Boltzmann Machines and Deep Belief Networks on multi-core processors

Noel Lopes, Bernardete Ribeiro, João Gonçalves, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

On the Impact of Distance Metrics in Instance-Based Learning Algorithms

Noel Lopes, Bernardete Ribeiro, B. Ribeiro, 2015, IbPRIA.

Decay Momentum for Improving Federated Learning

Bernardete Ribeiro, Catarina Silva, Joel P. Arrais, 2021, ESANN.

Understanding road network dynamics: Link-based topological patterns

Bernardete Ribeiro, Alexandre Oliveira Tavares, Susana Freiria, 2015 .

Few-shot learning with transformers via graph embeddings for molecular property prediction

Joel P. Arrais, B. Ribeiro, Luis Torres, 2023, Expert Syst. Appl..

Knowledge Extraction with Non-Negative Matrix Factorization for Text Classification

Bernardete Ribeiro, Catarina Silva, B. Ribeiro, 2009, IDEAL.

Extracting Discriminative Features Using Non-negative Matrix Factorization in Financial Distress Data

Bernardete Ribeiro, Catarina Silva, Armando Vieira, 2009, ICANNGA.

Electrical Signal Source Separation Via Nonnegative Tensor Factorization Using On Site Measurements in a Smart Home

Bernardete Ribeiro, Marisa B. Figueiredo, Ana de Almeida, 2014, IEEE Transactions on Instrumentation and Measurement.

Performance Metrics for Model Fusion in Twitter Data Drifts

Bernardete Ribeiro, Mário Antunes, Catarina Silva, 2017, IbPRIA.

Concept Drift Awareness in Twitter Streams

Bernardete Ribeiro, Mário Antunes, Catarina Silva, 2014, 2014 13th International Conference on Machine Learning and Applications.

Supervised Isomap with Dissimilarity Measures in Embedding Learning

Bernardete Ribeiro, Armando Vieira, João Carvalho das Neves, 2008, CIARP.

Rethinking Recurrent Neural Networks and other Improvements for Image Classification

N. H. Phong, B. Ribeiro, 2020, ArXiv.

Fast DENSER: Efficient Deep NeuroEvolution

Nuno Lourenço, Penousal Machado, Bernardete Ribeiro, 2019, EuroGP.

Incremental Evolution and Development of Deep Artificial Neural Networks pdf

Nuno Lourenço, Bernardete Ribeiro, Penousal Machado, 2020, EuroGP.

Fast-DENSER++: Evolving Fully-Trained Deep Artificial Neural Networks pdf

Nuno Lourenço, Penousal Machado, Bernardete Ribeiro, 2019, ArXiv.

Automatic Evolution of AutoEncoders for Compressed Representations

Nuno Lourenço, Penousal Machado, Bernardete Ribeiro, 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).

Evolving the Topology of Large Scale Deep Neural Networks

Nuno Lourenço, Penousal Machado, Bernardete Ribeiro, 2018, EuroGP.

Multi-label learning vector quantization for semi-supervised classification

Bernardete Ribeiro, An Chen, Ning Chen, 2019, Intell. Data Anal..

Model Prediction of Defects in Sheet Metal Forming Processes

Bernardete Ribeiro, Mario Dib, Pedro Prates, 2018, EANN.

Advanced Capsule Networks via Context Awareness pdf

Bernardete Ribeiro, Nguyen Huu Phong, N. H. Phong, 2019, ICANN.

Improving the Generalization Capacity of Cascade Classifiers

Bernardete Ribeiro, Cristiano Premebida, Urbano Nunes, 2013, IEEE Transactions on Cybernetics.

Comparative study of classifier ensembles for cost-sensitive credit risk assessment

Ning Chen, Bernardete Ribeiro, An Chen, 2015, Intell. Data Anal..

Towards Expanding Relevance Vector Machines to Large Scale Datasets

Bernardete Ribeiro, Catarina Silva, B. Ribeiro, 2008, Int. J. Neural Syst..

Scaling Text Classification with Relevance Vector Machines

Bernardete Ribeiro, Catarina Silva, B. Ribeiro, 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

Distributed Text Classification With an Ensemble Kernel-Based Learning Approach

Bernardete Ribeiro, Catarina Silva, Uros Lotric, 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

A Bayesian Additive Model for Understanding Public Transport Usage in Special Events

B. Ribeiro, Filipe Rodrigues, S. Borysov, 2017, IEEE transactions on pattern analysis and machine intelligence.

Multi-Objective Evolutionary Algorithms for Feature Selection: Application in Bankruptcy Prediction

Bernardete Ribeiro, Armando Vieira, João Carvalho das Neves, 2010, SEAL.

Two-Level Hierarchical Hybrid SVM-RVM Classification Model

Bernardete Ribeiro, Catarina Silva, B. Ribeiro, 2006, 2006 5th International Conference on Machine Learning and Applications (ICMLA'06).

A Grassmannian Approach to Zero-Shot Learning for Network Intrusion Detection

Ning Chen, Bernardete Ribeiro, Fatima Silva Leite, 2017, ICONIP.

Home electrical signal disaggregation for non-intrusive load monitoring (NILM) systems

Bernardete Ribeiro, Marisa B. Figueiredo, Ana de Almeida, 2012, Neurocomputing.

Non-Negative Matrix Factorization (NMF)

Noel Lopes, Bernardete Ribeiro, B. Ribeiro, 2015 .

Video Action Recognition Collaborative Learning with Dynamics via PSO-ConvNet Transformer

N. H. Phong, B. Ribeiro, 2023, arXiv.org.

Incorporate Cost Matrix into Learning Vector Quantization Modeling: a Comparative Study of Genetic Algorithm, Simulated Annealing and Particle Swarm Optimization

Bernardete Ribeiro, Ning Chen, Armando Vieira, 2011 .

Graph weighted subspace learning models in bankruptcy

Ning Chen, Bernardete Ribeiro, B. Ribeiro, 2011, The 2011 International Joint Conference on Neural Networks.

An improved approach to steganalysis of JPEG images

Qingzhong Liu, Andrew H. Sung, Bernardete Ribeiro, 2010, Inf. Sci..

Machine Learning for Adaptive Many-Core Machines - A Practical Approach

Noel Lopes, Bernardete Ribeiro, B. Ribeiro, 2014 .

Pattern Recognition and Image Analysis: 9th Iberian Conference, IbPRIA 2019, Madrid, Spain, July 1–4, 2019, Proceedings, Part II

Bernardete Ribeiro, José Salvador Sánchez, Julian Fierrez, 2019, IbPRIA.

Dimensionality Reduction Using Graph Weighted Subspace Learning for Bankruptcy Prediction

Ning Chen, Bernardete Ribeiro, B. Ribeiro, 2015 .

Analysis of trends in seasonal electrical energy consumption via non-negative tensor factorization

Bernardete Ribeiro, Marisa B. Figueiredo, Ana de Almeida, 2015, Neurocomputing.

Exploring the performance of non-negative multi-way factorization for household electrical seasonal consumption disaggregation

Bernardete Ribeiro, Marisa B. Figueiredo, Ana Maria de Almeida, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Mahalanobis distance metric learning algorithm for instance-based data stream classification

Bernardete Ribeiro, Jorge Luis Rivero Pérez, Carlos Morell Pérez, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Adaptive Learning Models Evaluation in Twitter’s Timelines

Bernardete Ribeiro, Mário Antunes, Catarina Silva, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Get Your Jokes Right: Ask the Crowd

Bernardete Ribeiro, Mário Antunes, Catarina Silva, 2011, MEDI.

The Importance of Precision in Humour Classification

Bernardete Ribeiro, Mário Antunes, Catarina Silva, 2011, IDEAL.

Automated Learning of RVM for Large Scale Text Sets: Divide to Conquer

Bernardete Ribeiro, Catarina Silva, B. Ribeiro, 2006, IDEAL.

Feature Mining and Pattern Recognition in Multimedia Forensics—Detection of JPEG Image Based Steganography, Double-Compression, Interpolation and WAV Audio Based Steganography

Qingzhong Liu, Andrew H. Sung, Mengyu Qiao, 2011 .

An Inductive Inference Approach to Large Scale Text Categorisation

Bernardete Ribeiro, Catarina Silva, B. Ribeiro, 2003, ICANNGA.

Industrial Kiln Multivariable Control: MNN and RBFNN Approaches

Ernesto Costa, Bernardete Ribeiro, António Dourado, 1995, ICANNGA.

Feature Selection for Bankruptcy Prediction: A Multi-Objective Optimization Approach

Bernardete Ribeiro, Armando Vieira, João Carvalho das Neves, 2010, Int. J. Nat. Comput. Res..

Accurate Prediction of Financial Distress of Companies with Machine Learning Algorithms

Bernardete Ribeiro, Armando Vieira, João M. M. Duarte, 2009, ICANNGA.

Accurate Prediction of Financial Distress with Machine Learning Algorithms

B. Ribeiro, A. Vieira, J. C. Neves, 2008 .

Smart Home Energy Management Supported by Cloud Computing

Bernardete Ribeiro, Paulo Gil, Alberto Cardoso, 2019, 2019 5th Experiment International Conference (exp.at'19).

A Compressive Receding Horizon Approach for Smart Home Energy Management

Carlos M. Fonseca, Bernardete Ribeiro, Alberto Cardoso, 2021, IEEE Access.

Using GP Is NEAT: Evolving Compositional Pattern Production Functions

Nuno Lourenço, Penousal Machado, Bernardete Ribeiro, 2018, EuroGP.

Fault detection in a thermoplastic injection molding process using neural networks

Bernardete Ribeiro, B. Ribeiro, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

A Hybrid AIS-SVM Ensemble Approach for Text Classification

Bernardete Ribeiro, Manuel Eduardo Correia, Mário Antunes, 2011, ICANNGA.

Hierarchical Deep Learning Approach for Plant Disease Detection

Bernardete Ribeiro, Catarina Silva, Joana Cósta, 2019, IbPRIA.

Interpreting Decision Patterns in Financial Applications

Bernardete Ribeiro, Catarina Silva, Tiago Faria, 2021, Iberoamerican Congress on Pattern Recognition.

Video action recognition collaborative learning with dynamics via PSO-ConvNet Transformer

N. H. Phong, B. Ribeiro, 2023, Scientific reports.

Building resilient classifiers for LSB matching steganography

Qingzhong Liu, Andrew H. Sung, Bernardete Ribeiro, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Signature identification via efficient feature selection and GPU-based SVM classifier

Noel Lopes, Bernardete Ribeiro, João Gonçalves, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Purging False Negatives in Cancer Diagnosis Using Incremental Active Learning

Bernardete Ribeiro, Catarina Silva, B. Ribeiro, 2011, IDEAL.

Improving Text Classification Performance with Incremental Background Knowledge

Bernardete Ribeiro, Catarina Silva, B. Ribeiro, 2009, ICANN.

Boosting RVM Classifiers for Large Data Sets

Andrew H. Sung, Bernardete Ribeiro, Catarina Silva, 2007, ICANNGA.

The impact of longstanding messages in micro-blogging classification

Bernardete Ribeiro, Mário Antunes, Catarina Silva, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Defining Semantic Meta-hashtags for Twitter Classification

Bernardete Ribeiro, Mário Antunes, Catarina Silva, 2013, ICANNGA.