| 2025 | EPIA | Convolutional Spiking Neural Networks with Molecular Fingerprints for Drug Discovery. | Dinu Bosi, Luis H. M. Torres, Joel P. Arrais, Bernardete Ribeiro |
| 2025 | IBPRIA | Spiking Alternatives for the Leaky Integrate-and-Fire Neuron: Applications in Cybersecurity and Financial Threats. | Dylan Perdigo, Francisco Antunes, Catarina Silva, Bernardete Ribeiro |
| 2024 | CIARP | Exploring Neural Joint Activity in Spiking Neural Networks for Fraud Detection. | Dylan Perdigo, Francisco Antunes, Catarina Silva, Bernardete Ribeiro |
| 2024 | EPIA | Improving Fraud Detection with 1D-Convolutional Spiking Neural Networks Through Bayesian Optimization. | Dylan Perdigo, Francisco Antunes, Catarina Silva, Bernardete Ribeiro |
| 2023 | ANT | A human-centric approach to aid in assessing maintenance from the sustainable manufacturing perspective. | Jos Carlos Almeida, Bernardete Ribeiro, Alberto Cardoso |
| 2023 | CIARP | Improving Pest Detection via Transfer Learning. | Dinis Costa, Catarina Silva, Joana Csta, Bernardete Ribeiro |
| 2023 | EANN | Forecasting Functional Time Series Using Federated Learning. | Ral Llasag Rosero, Catarina Silva, Bernardete Ribeiro |
| 2023 | EPIA | Enhancing Pest Detection Models Through Improved Annotations. | Dinis Costa, Catarina Silva, Joana Csta, Bernardete Ribeiro |
| 2023 | EPIA | Towards Interpretability in Fintech Applications via Knowledge Augmentation. | Catarina Silva, Tiago Faria, Bernardete Ribeiro |
| 2023 | ESANN | Convolutional Transformer via Graph Embeddings for Few-shot Toxicity and Side Effect Prediction. | Luis H. M. Torres, Bernardete Ribeiro, Joel Arrais |
| 2023 | HIS | Evaluating Collaborative Forecasting in Non-horizontal Federated Learning. | Ral Llasag Rosero, Catarina Silva, Bernardete Ribeiro |
| 2023 | IBPRIA | Optimizing Object Detection Models via Active Learning. | Dinis Costa, Catarina Silva, Joana Csta, Bernardete Ribeiro |
| 2023 | ICASSP | On the Quantization of Recurrent Neural Networks for Smiles Generation. | Adriano Durao, Joel P. Arrais, Bernardete Ribeiro, Gabriel Falcao |
| 2022 | CBMS | Deep Model for Anticancer Drug Response through Genomic Profiles and Compound Structures. | Filipa G. Carvalho, Maryam Abbasi, Bernardete Ribeiro, Joel P. Arrais |
| 2022 | EPIA | A Generic Approach to Extend Interpretability of Deep Networks. | Catarina Silva, Antnio Morais, Bernardete Ribeiro |
| 2021 | CBMS | Optimizing Recurrent Neural Network Architectures for De Novo Drug Design. | Beatriz P. Santos, Maryam Abbasi, Tiago Pereira, Bernardete Ribeiro, Joel P. Arrais |
| 2021 | CIARP | Interpreting Decision Patterns in Financial Applications. | Tiago Faria, Catarina Silva, Bernardete Ribeiro |
| 2021 | ESANN | Multiobjective Reinforcement Learning in Optimized Drug Design. | Maryam Abbasi, Tiago Pereira, Beatriz P. Santos, Bernardete Ribeiro, Joel Arrais |
| 2021 | ESANN | Decay Momentum for Improving Federated Learning. | Miguel Fernandes, Catarina Silva, Joel Arrais, Alberto Cardoso, Bernardete Ribeiro |
| 2021 | ESANN | Improvement on Generative Adversarial Network for Targeted Drug Design. | Beatriz P. Santos, Maryam Abbasi, Tiago Pereira, Bernardete Ribeiro, Joel Arrais |
| 2020 | BIBE | Exploring a Siamese Neural Network Architecture for One-Shot Drug Discovery. | Luis H. M. Torres, Nelson R. C. Monteiro, Jos Lus Oliveira, Joel Arrais, Bernardete Ribeiro |
| 2020 | EUROGP | Incremental Evolution and Development of Deep Artificial Neural Networks. | Filipe Assuno, Nuno Loureno, Bernardete Ribeiro, Penousal Machado |
| 2020 | IJCNN | Reconstructing Abstract Concepts and their Blends Via Computational Cognitive Modeling. | Rahul Sharma, Bernardete Ribeiro, Alexandre Miguel Pinto, F. Amlcar Cardoso |
| 2019 | EUROGP | Fast DENSER: Efficient Deep NeuroEvolution. | Filipe Assuno, Nuno Loureno, Penousal Machado, Bernardete Ribeiro |
| 2019 | IBPRIA | Hierarchical Deep Learning Approach for Plant Disease Detection. | Joana Csta, Catarina Silva, Bernardete Ribeiro |
| 2019 | IBPRIA | An Improvement for Capsule Networks Using Depthwise Separable Convolution. | Nguyen Huu Phong, Bernardete Ribeiro |
| 2019 | ICANN | Deep Neural Network Architecture for Drug-Target Interaction Prediction. | Nelson R. C. Monteiro, Bernardete Ribeiro, Joel P. Arrais |
| 2019 | ICANN | Advanced Capsule Networks via Context Awareness. | Nguyen Huu Phong, Bernardete Ribeiro |
| 2018 | CEC | Automatic Evolution of AutoEncoders for Compressed Representations. | Filipe Assuno, David Sereno, Nuno Loureno, Penousal Machado, Bernardete Ribeiro |
| 2018 | EANN | Model Prediction of Defects in Sheet Metal Forming Processes. | Mario Dib, Bernardete Ribeiro, Pedro A. Prates |
| 2018 | EUROGP | Using GP Is NEAT: Evolving Compositional Pattern Production Functions. | Filipe Assuno, Nuno Loureno, Penousal Machado, Bernardete Ribeiro |
| 2018 | EUROGP | Evolving the Topology of Large Scale Deep Neural Networks. | Filipe Assuno, Nuno Loureno, Penousal Machado, Bernardete Ribeiro |
| 2018 | IJCNN | Active Learning for Input Space Exploration in Traffic Simulators. | Francisco Antunes, Bernardete Ribeiro, Francisco C. Pereira |
| 2018 | IJCNN | Adaptive Learning Models Evaluation in Twitter's Timelines. | Joana Csta, Catarina Silva, Mrio Antunes, Bernardete Ribeiro |
| 2018 | IJCNN | Perceiving Abstract Concepts Via Evolving Computational Cognitive Modeling. | Rahul Sharma, Bernardete Ribeiro, Alexandre Miguel Pinto, F. Amlcar Cardoso |
| 2018 | IJCNN | Dynamic Human Gait VGRF Reference Profile Generation via Extreme Learning Machine. | Alexandra Vieira, Bernardete Ribeiro, Heloisa Sobral, A. Paulo Coimbra, Manuel M. Crisstomo, Joo Paulo Ferreira, Tao Liu |
| 2017 | CEC | Automatic generation of neural networks with structured Grammatical Evolution. | Filipe Assuno, Nuno Loureno, Penousal Machado, Bernardete Ribeiro |
| 2017 | IBPRIA | Performance Metrics for Model Fusion in Twitter Data Drifts. | Joana Csta, Catarina Silva, Mrio Antunes, Bernardete Ribeiro |
| 2017 | ICMLA | Novel Trends in Scaling Up Machine Learning Algorithms. | Noel Lopes, Bernardete Ribeiro |
| 2017 | ICONIP | A Grassmannian Approach to Zero-Shot Learning for Network Intrusion Detection. | Jorge Luis Rivero Prez, Bernardete Ribeiro, Ning Chen, Ftima Silva Leite |
| 2016 | CIARP | How Deep Can We Rely on Emotion Recognition. | Ana Laranjeira, Xavier Frazo, Andr Pimentel, Bernardete Ribeiro |
| 2016 | CIARP | Trading off Distance Metrics vs Accuracy in Incremental Learning Algorithms. | Noel Lopes, Bernardete Ribeiro |
| 2016 | EANN | Choice of Best Samples for Building Ensembles in Dynamic Environments. | Joana Csta, Catarina Silva, Mrio Antunes, Bernardete Ribeiro |
| 2016 | IJCNN | Automatic graphic logo detection via Fast Region-based Convolutional Networks. | Gonalo Oliveira, Xavier Frazo, Andr Pimentel, Bernardete Ribeiro |
| 2016 | IJCNN | Mahalanobis distance metric learning algorithm for instance-based data stream classification. | Jorge Luis Rivero Prez, Bernardete Ribeiro, Carlos Morell Prez |
| 2016 | IPMU | Visualization of Individual Ensemble Classifier Contributions. | Catarina Silva, Bernardete Ribeiro |
| 2016 | ISNN | Multiclass Ensemble of One-against-all SVM Classifiers. | Catarina Silva, Bernardete Ribeiro |
| 2015 | EANN | Credit Prediction Using Transfer of Learning via Self-Organizing Maps to Neural Networks. | Ali AghaeiRad, Bernardete Ribeiro |
| 2015 | HAIS | A Structural Pattern Mining Approach for Credit Risk Assessment. | Bernardete Ribeiro, Ning Chen, Alexander Kovacec |
| 2015 | HCOMP | Learning Supervised Topic Models from Crowds. | Filipe Rodrigues, Bernardete Ribeiro, Mariana Loureno, Francisco C. Pereira |
| 2015 | IBPRIA | On the Impact of Distance Metrics in Instance-Based Learning Algorithms. | Noel Lopes, Bernardete Ribeiro |
| 2015 | ICONIP | DOTS: Drift Oriented Tool System. | Joana Csta, Catarina Silva, Mrio Antunes, Bernardete Ribeiro |
| 2015 | IJCNN | The impact of longstanding messages in micro-blogging classification. | Joana Csta, Catarina Silva, Mrio Antunes, Bernardete Ribeiro |
| 2015 | ICPRAM | The Critical Feature Dimension and Critical Sampling Problems. | Bernardete Ribeiro, Andrew H. Sung, Divya Suryakumar, Ram B. Basnet |
| 2015 | IJCNN | Learning the hash code with generalised regression neural networks for handwritten signature biometric data retrieval. | Bernardete Ribeiro, Noel Lopes, Catarina Silva |
| 2014 | ICML | Gaussian Process Classification and Active Learning with Multiple Annotators. | Filipe Rodrigues, Francisco C. Pereira, Bernardete Ribeiro |
| 2014 | ICMLA | Concept Drift Awareness in Twitter Streams. | Joana Csta, Catarina Silva, Mrio Antunes, Bernardete Ribeiro |
| 2014 | ICONIP | Hashing for Financial Credit Risk Analysis. | Bernardete Ribeiro, Ning Chen |
| 2014 | IJCNN | Exploring the performance of non-negative multi-way factorization for household electrical seasonal consumption disaggregation. | Marisa B. Figueiredo, Bernardete Ribeiro, Ana Maria de Almeida |
| 2014 | IJCNN | Ensemble learning for keyword extraction from event descriptions. | Pedro Geadas, Ana Alves, Bernardete Ribeiro |
| 2014 | IJCNN | Signature identification via efficient feature selection and GPU-based SVM classifier. | Bernardete Ribeiro, Noel Lopes, Joo Gonalves |
| 2013 | CIARP | Extreme Learning Classifier with Deep Concepts. | Bernardete Ribeiro, Noel Lopes |
| 2012 | CIARP | Improving Convergence of Restricted Boltzmann Machines via a Learning Adaptive Step Size. | Noel Lopes, Bernardete Ribeiro |
| 2012 | HAIS | An Incremental Hypersphere Learning Framework for Protein Membership Prediction. | Noel Lopes, Daniel Correia, Carlos Pereira, Bernardete Ribeiro, Antnio Dourado |
| 2012 | ICONIP | Multi-threaded Support Vector Machines for Pattern Recognition. | Joo Gonalves, Noel Lopes, Bernardete Ribeiro |
| 2012 | ICONIP | Biclustering and Subspace Learning with Regularization for Financial Risk Analysis. | Bernardete Ribeiro, Ning Chen |
| 2012 | IJCNN | Restricted Boltzmann Machines and Deep Belief Networks on multi-core processors. | Noel Lopes, Bernardete Ribeiro, Joo Gonalves |
| 2012 | IDEAL | Credit Scoring for SME Using a Manifold Supervised Learning Algorithm. | Armando Vieira, Bernardete Ribeiro, Ning Chen |
| 2011 | CIARP | Deep Learning Networks for Off-Line Handwritten Signature Recognition. | Bernardete Ribeiro, Ivo Gonalves, Srgio Santos, Alexander Kovacec |
| 2011 | EPIA | Bankruptcy Trajectory Analysis on French Companies Using Self-Organizing Map. | Ning Chen, Bernardete Ribeiro, Armando Vieira |
| 2011 | ICAART | Locating Information-hiding in MP3 Audio. | Mengyu Qiao, Andrew H. Sung, Qingzhong Liu, Bernardete Ribeiro |
| 2011 | ICONIP | An Incremental Class Boundary Preserving Hypersphere Classifier. | Noel Lopes, Bernardete Ribeiro |
| 2011 | ICONIP | Deep Belief Networks for Financial Prediction. | Bernardete Ribeiro, Noel Lopes |
| 2011 | IJCNN | A fast optimized semi-supervised non-negative Matrix Factorization algorithm. | Noel Lopes, Bernardete Ribeiro |
| 2011 | IJCNN | Graph weighted subspace learning models in bankruptcy. | Bernardete Ribeiro, Ning Chen |
| 2011 | IDEAL | The Importance of Precision in Humour Classification. | Joana Csta, Catarina Silva, Mrio Antunes, Bernardete Ribeiro |
| 2011 | IDEAL | Purging False Negatives in Cancer Diagnosis Using Incremental Active Learning. | Catarina Silva, Bernardete Ribeiro |
| 2011 | ISDA | On using crowdsourcing and active learning to improve classification performance. | Joana Csta, Catarina Silva, Mrio Antunes, Bernardete Ribeiro |
| 2011 | ISDA | Smart home: A novel model for denoising an electrical signal. | Marisa B. Figueiredo, Ana de Almeida, Bernardete Ribeiro |
| 2011 | MEDI | Get Your Jokes Right: Ask the Crowd. | Joana Csta, Catarina Silva, Mrio Antunes, Bernardete Ribeiro |
| 2011 | SMC | Wavelet Decomposition and Singular Spectrum Analysis for electrical signal denoising. | Marisa B. Figueiredo, Ana de Almeida, Bernardete Ribeiro |
| 2010 | CIARP | A Hybrid Face Recognition Approach Using GPUMLib. | Noel Lopes, Bernardete Ribeiro |
| 2010 | HIS | GPUMLib: A new Library to combine Machine Learning algorithms with Graphics Processing Units. | Noel Lopes, Bernardete Ribeiro, Ricardo Quintas |
| 2010 | ICAART | Stochastic GPU-based Multithread Implementation of Multiple Back-propagation. | Noel Lopes, Bernardete Ribeiro |
| 2010 | ICANN | Weighted Learning Vector Quantization to Cost-Sensitive Learning. | Ning Chen, Bernardete Ribeiro, Armando Vieira, Joo M. M. Duarte, Joo Carvalho das Neves |
| 2010 | IJCNN | A strategy for dealing with missing values by using selective activation neurons in a multi-topology framework. | Noel Lopes, Bernardete Ribeiro |
| 2010 | IJCNN | High-performance bankruptcy prediction model using Graphics Processing Units. | Bernardete Ribeiro, Noel Lopes, Catarina Silva |
| 2010 | IJCNN | Financial distress model prediction using SVM+. | Bernardete Ribeiro, Catarina Silva, Armando Vieira, Antnio Gaspar-Cunha, Joo Carvalho das Neves |
| 2010 | IJCNN | Improving recall values in breast cancer diagnosis with Incremental Background Knowledge. | Catarina Silva, Bernardete Ribeiro, Noel Lopes |
| 2010 | IDEAL | Extracting Features from an Electrical Signal of a Non-Intrusive Load Monitoring System. | Marisa B. Figueiredo, Ana de Almeida, Bernardete Ribeiro, Antnio Martins |
| 2010 | IDEAL | Non-negative Matrix Factorization Implementation Using Graphic Processing Units. | Noel Lopes, Bernardete Ribeiro |
| 2009 | CIARP | Fast Pattern Classification of Ventricular Arrhythmias Using Graphics Processing Units. | Noel Lopes, Bernardete Ribeiro |
| 2009 | EPIA | Cost-Sensitive Learning Vector Quantization for Financial Distress Prediction. | Ning Chen, Armando Vieira, Joo M. M. Duarte, Bernardete Ribeiro, Joo Carvalho das Neves |
| 2009 | ICAART | Using Expanded Markov Process and Joint Distribution Features for JPEG Steganalysis. | Qingzhong Liu, Andrew H. Sung, Mengyu Qiao, Bernardete Ribeiro |
| 2009 | ICANN | Improving Text Classification Performance with Incremental Background Knowledge. | Catarina Silva, Bernardete Ribeiro |
| 2009 | IDEAL | GPU Implementation of the Multiple Back-Propagation Algorithm. | Noel Lopes, Bernardete Ribeiro |
| 2009 | IDEAL | Knowledge Extraction with Non-Negative Matrix Factorization for Text Classification. | Catarina Silva, Bernardete Ribeiro |
| 2008 | CIARP | Supervised Isomap with Dissimilarity Measures in Embedding Learning. | Bernardete Ribeiro, Armando Vieira, Joo Carvalho das Neves |
| 2008 | ICANN | Several Enhancements to Hermite-Based Approximation of One-Variable Functions. | Bartlomiej Beliczynski, Bernardete Ribeiro |
| 2008 | ICMLA | Selecting Examples in Manifold Reduced Feature Space for Active Learning. | Catarina Silva, Bernardete Ribeiro |
| 2008 | ICONIP | Learning Manifolds for Bankruptcy Analysis. | Bernardete Ribeiro, Armando Vieira, Joo M. M. Duarte, Catarina Silva, Joo Carvalho das Neves, Qingzhong Liu, Andrew H. Sung |
| 2008 | ICONIP | Improving Personal Credit Scoring with HLVQ-C. | Armando Vieira, Joo M. M. Duarte, Bernardete Ribeiro, Joo Carvalho das Neves |
| 2008 | IJCNN | Building resilient classifiers for LSB matching steganography. | Rita Ferreira, Bernardete Ribeiro, Catarina Silva, Qingzhong Liu, Andrew H. Sung |
| 2008 | IJCNN | Steganalysis of multi-class JPEG images based on expanded Markov features and polynomial fitting. | Qingzhong Liu, Andrew H. Sung, Bernardete Ribeiro, Rita Ferreira |
| 2008 | SMC | Evaluation system for e-learning with pattern mining tools. | Bernardete Ribeiro, Alberto Cardoso |
| 2007 | ICMLA | Combining active learning and relevance vector machines for text classification. | Catarina Silva, Bernardete Ribeiro |
| 2006 | ICMLA | Two-Level Hierarchical Hybrid SVM-RVM Classification Model. | Catarina Silva, Bernardete Ribeiro |
| 2006 | ICPR | Image Complexity and Feature Extraction for Steganalysis of LSB Matching Steganography. | Qingzhong Liu, Andrew H. Sung, Jianyun Xu, Bernardete Ribeiro |
| 2006 | IJCNN | Sparse Bayesian Models: Bankruptcy-Predictors of Choice? | Bernardete Ribeiro, Armando Vieira, Joo Carvalho das Neves |
| 2006 | IDEAL | Automated Learning of RVM for Large Scale Text Sets: Divide to Conquer. | Catarina Silva, Bernardete Ribeiro |
| 2006 | SMC | Scaling Text Classification with Relevance Vector Machines. | Catarina Silva, Bernardete Ribeiro |
| 2005 | ICMLA | Speeding-up text categorization in a grid computing environment. | Catarina Silva, Bernardete Ribeiro, Uros Lotric |
| 2004 | HIS | Margin-Based Active Learning and Background Knowledge in Text Mining. | Catarina Silva, Bernardete Ribeiro |
| 2003 | HIS | Learning Adaptive Kernels for Model Diagnosis. | Bernardete Ribeiro |
| 2003 | ICMLA | On the Evaluation of Text Processing in Text Categorization. | Catarina Silva, Bernardete Ribeiro |
| 2002 | HIS | Mercer's Kernel Based Learning for Fault Detection. | Bernardete Ribeiro, Paulo Carvalho |
| 2002 | ICPR | Bayes Information Criterion for Tikhonov Regularization with Linear Constraints: Application to Spectral Data Estimation. | Paulo Carvalho, Amncio Santos, Antnio Dourado, Bernardete Ribeiro |
| 2001 | ICCV | Learning Spectral Calibration Parameters For Color Inspection. | Paulo Carvalho, Amncio Santos, Antnio Dourado, Bernardete Ribeiro |
| 2001 | ICIP | On the estimation of spectral data: a genetic algorithm approach. | Paulo Carvalho, Amncio Santos, Bernardete Ribeiro, Antnio Dourado |
| 2000 | IJCNN | MONODA: A Neural Modular Architecture for Obstacle Avoidance without Knowledge of the Environment. | Catarina Silva, Manuel M. Crisstomo, Bernardete Ribeiro |
| 1999 | IJCNN | Fault detection in a thermoplastic injection molding process using neural networks. | Bernardete Ribeiro |