Lime Kiln Fault Detection and Diagnosis by Neural Networks. - Bernardete Ribeiro; Ernesto Costa; António Dourado (ICANNGA, 1995)

Industrial Kiln Multivariable Control: MNN and RBFNN Approaches. - Bernardete Ribeiro; António Dourado; Ernesto Costa (ICANNGA, 1995)

Contribuição para a modelização, supervisão e controlo de sistemas multivariáveis não lineares por redes neuronais com aplicação a um forno de cal - Bernardete Ribeiro (1995)

A Model-based Neural Network Controller for a Process Trainer Laboratory Equipment. - Bernardete Ribeiro; Alberto Cardoso (ICANNGA, 1997)

A neural prediction model for monitoring and fault diagnosis of a plastic injection moulding process. - N. Costa; Bernardete Ribeiro (ECC, 1999)

Monitoring an Industrial Plastic Injection Moulding Machine Using Neural Networks. - N. Costa; António Gaspar-Cunha; Bernardete Ribeiro (ICANNGA, 1999)

Fault detection in a thermoplastic injection molding process using neural networks. - Bernardete Ribeiro (IJCNN, 1999)

On the Use of Neural Networks and Geometrical Criteria for Localisation of Highly Irregular Elliptical Shapes. - Paulo Carvalho 001; N. Costa; Bernardete Ribeiro (Pattern Anal. Appl., 1999)

MONODA: A Neural Modular Architecture for Obstacle Avoidance without Knowledge of the Environment. - Catarina Silva 001; Manuel M. Crisóstomo; Bernardete Ribeiro (IJCNN (6), 2000)

Learning Spectral Calibration Parameters For Color Inspection. - Paulo Carvalho 001; Amâncio Santos; António Dourado; Bernardete Ribeiro (ICCV, 2001)

On the estimation of spectral data: a genetic algorithm approach. - Paulo Carvalho 001; Amâncio Santos; Bernardete Ribeiro; António Dourado (ICIP (1), 2001)

A neural network for shortest path computation. - Filipe Araújo; Bernardete Ribeiro; Luís E. T. Rodrigues (IEEE Trans. Neural Networks, 2001)

Mercer's Kernel Based Learning for Fault Detection. - Bernardete Ribeiro; Paulo Carvalho 001 (HIS, 2002)

Bayes Information Criterion for Tikhonov Regularization with Linear Constraints: Application to Spectral Data Estimation. - Paulo Carvalho 001; Amâncio Santos; António Dourado; Bernardete Ribeiro (ICPR (1), 2002)

Learning Adaptive Kernels for Model Diagnosis. - Bernardete Ribeiro (HIS, 2003)

An Inductive Inference Approach to Large Scale Text Categorisation. - Catarina Silva 001; Bernardete Ribeiro (ICANNGA, 2003)

A framework for neural quality control systems design. - N. Costa; Bernardete Ribeiro (ICANNGA, 2003)

On the Evaluation of Text Processing in Text Categorization. - Catarina Silva 001; Bernardete Ribeiro (ICMLA, 2003)

Navigating mobile robots with a modular neural architecture. - Catarina Silva 001; Bernardete Ribeiro (Neural Comput. Appl., 2003)

An Efficient Gradient-based Learning Algorithm Applied to Neural Networks with Selective Actuation Neurons. - Noel Lopes; Bernardete Ribeiro (Neural Parallel Sci. Comput., 2003)

Margin-Based Active Learning and Background Knowledge in Text Mining. - Catarina Silva 001; Bernardete Ribeiro (HIS, 2004)

Speeding-up text categorization in a grid computing environment. - Catarina Silva 001; Bernardete Ribeiro; Uros Lotric (ICMLA, 2005)

On the Evaluation of Minkovsky Kernel for SVMs. - Bernardete Ribeiro (Neural Parallel Sci. Comput., 2005)

Selective Classification and Regression Models Based on Support Vector Clustering. - Bernardete Ribeiro (Neural Parallel Sci. Comput., 2005)

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

Two-Level Hierarchical Hybrid SVM-RVM Classification Model. - Catarina Silva 001; Bernardete Ribeiro (ICMLA, 2006)

Image Complexity and Feature Extraction for Steganalysis of LSB Matching Steganography. - Qingzhong Liu; Andrew H. Sung; Jianyun Xu; Bernardete Ribeiro (ICPR (2), 2006)

Automated Learning of RVM for Large Scale Text Sets: Divide to Conquer. - Catarina Silva 001; Bernardete Ribeiro (IDEAL, 2006)

Sparse Bayesian Models: Bankruptcy-Predictors of Choice? - Bernardete Ribeiro; Armando Vieira; João Carvalho das Neves (IJCNN, 2006)

Scaling Text Classification with Relevance Vector Machines. - Catarina Silva 001; Bernardete Ribeiro (SMC, 2006)

An ECG compression approach based on a segment dictionary and bezier approximations. - Mário Brito; Jorge Henriques; Paulo Carvalho 001; Bernardete Ribeiro; Manuel Antunes (EUSIPCO, 2007)

Support, Relevance and Spectral Learning for Time Series. - Bernardete Ribeiro (ICANNGA (2), 2007)

Boosting RVM Classifiers for Large Data Sets. - Catarina Silva 001; Bernardete Ribeiro; Andrew H. Sung (ICANNGA (2), 2007)

Combining active learning and relevance vector machines for text classification. - Catarina Silva 001; Bernardete Ribeiro (ICMLA, 2007)

Biased Support Vector Machines and Kernel Methods for Intrusion Detection. - Krishna Yendrapalli; Srinivas Mukkamala; Andrew H. Sung; Bernardete Ribeiro (World Congress on Engineering, 2007)

Choosing Real-Time Predictors for Ventricular Arrhythmia Detection. - Bernardete Ribeiro; Amândio Marques; Jorge Henriques; Manuel Antunes (Int. J. Pattern Recognit. Artif. Intell., 2007)

On Text-based Mining with Active Learning and Background Knowledge Using SVM. - Catarina Silva 001; Bernardete Ribeiro (Soft Comput., 2007)

Supervised Isomap with Dissimilarity Measures in Embedding Learning. - Bernardete Ribeiro; Armando Vieira; João Carvalho das Neves (CIARP, 2008)

Text Classification on Embedded Manifolds. - Catarina Silva 001; Bernardete Ribeiro (IBERAMIA, 2008)

Several Enhancements to Hermite-Based Approximation of One-Variable Functions. - Bartlomiej Beliczynski; Bernardete Ribeiro (ICANN (1), 2008)

Distributed Ensemble Learning in Text Classification. - Catarina Silva 001; Bernardete Ribeiro; Uros Lotric; Andrej Dobnikar (ICEIS (2), 2008)

Selecting Examples in Manifold Reduced Feature Space for Active Learning. - Catarina Silva 001; Bernardete Ribeiro (ICMLA, 2008)

Learning Manifolds for Bankruptcy Analysis. - Bernardete Ribeiro; Armando Vieira; João M. M. Duarte; Catarina Silva 001; João Carvalho das Neves; Qingzhong Liu; Andrew H. Sung (ICONIP (1), 2008)

Improving Personal Credit Scoring with HLVQ-C. - Armando Vieira; João M. M. Duarte; Bernardete Ribeiro; João Carvalho das Neves (ICONIP (2), 2008)

Building resilient classifiers for LSB matching steganography. - Rita Ferreira; Bernardete Ribeiro; Catarina Silva 001; Qingzhong Liu; Andrew H. Sung (IJCNN, 2008)

Steganalysis of multi-class JPEG images based on expanded Markov features and polynomial fitting. - Qingzhong Liu; Andrew H. Sung; Bernardete Ribeiro; Rita Ferreira (IJCNN, 2008)

Evaluation system for e-learning with pattern mining tools. - Bernardete Ribeiro; Alberto Cardoso (SMC, 2008)

Towards Expanding Relevance Vector Machines to Large Scale Datasets. - Catarina Silva 001; Bernardete Ribeiro (Int. J. Neural Syst., 2008)

Image complexity and feature mining for steganalysis of least significant bit matching steganography. - Qingzhong Liu; Andrew H. Sung; Bernardete Ribeiro; Mingzhen Wei; Zhongxue Chen; Jianyun Xu (Inf. Sci., 2008)

Classification of Mass Spectrometry Data - Using Manifold and Supervised Distance Metric Learning. - Qingzhong Liu; Andrew H. Sung; Bernardete Ribeiro; Mengyu Qiao (BIOSIGNALS, 2009)

Fast Pattern Classification of Ventricular Arrhythmias Using Graphics Processing Units. - Noel Lopes; Bernardete Ribeiro (CIARP, 2009)

Cost-Sensitive Learning Vector Quantization for Financial Distress Prediction. - Ning Chen 003; Armando Vieira; João M. M. Duarte; Bernardete Ribeiro; João Carvalho das Neves (EPIA, 2009)

Using Expanded Markov Process and Joint Distribution Features for JPEG Steganalysis. - Qingzhong Liu; Andrew H. Sung; Mengyu Qiao; Bernardete Ribeiro (ICAART, 2009)

Improving Text Classification Performance with Incremental Background Knowledge. - Catarina Silva 001; Bernardete Ribeiro (ICANN (1), 2009)

Extracting Discriminative Features Using Non-negative Matrix Factorization in Financial Distress Data. - Bernardete Ribeiro; Catarina Silva 001; Armando Vieira; João Carvalho das Neves (ICANNGA, 2009)

Improving Visualization, Scalability and Performance of Multiclass Problems with SVM Manifold Learning. - Catarina Silva 001; Bernardete Ribeiro (ICANNGA, 2009)

Accurate Prediction of Financial Distress of Companies with Machine Learning Algorithms. - Armando Vieira; João M. M. Duarte; Bernardete Ribeiro; João Carvalho das Neves (ICANNGA, 2009)

GPU Implementation of the Multiple Back-Propagation Algorithm. - Noel Lopes; Bernardete Ribeiro (IDEAL, 2009)

Knowledge Extraction with Non-Negative Matrix Factorization for Text Classification. - Catarina Silva 001; Bernardete Ribeiro (IDEAL, 2009)

Control of a Biped Robot With Support Vector Regression in Sagittal Plane. - João Paulo Ferreira; Manuel Marques Crisóstomo; A. Paulo Coimbra; Bernardete Ribeiro (IEEE Trans. Instrum. Meas., 2009)

A Hybrid Face Recognition Approach Using GPUMLib. - Noel Lopes; Bernardete Ribeiro (CIARP, 2010)

GPUMLib: A new Library to combine Machine Learning algorithms with Graphics Processing Units. - Noel Lopes; Bernardete Ribeiro; Ricardo Quintas (HIS, 2010)

Stochastic GPU-based Multithread Implementation of Multiple Back-propagation. - Noel Lopes; Bernardete Ribeiro (ICAART (1), 2010)

Weighted Learning Vector Quantization to Cost-Sensitive Learning. - Ning Chen 003; Bernardete Ribeiro; Armando Vieira; João M. M. Duarte; João Carvalho das Neves (ICANN (3), 2010)

Extracting Features from an Electrical Signal of a Non-Intrusive Load Monitoring System. - Marisa B. Figueiredo; Ana de Almeida 002; Bernardete Ribeiro; António Martins (IDEAL, 2010)

Non-negative Matrix Factorization Implementation Using Graphic Processing Units. - Noel Lopes; Bernardete Ribeiro (IDEAL, 2010)

A strategy for dealing with missing values by using selective activation neurons in a multi-topology framework. - Noel Lopes; Bernardete Ribeiro (IJCNN, 2010)

High-performance bankruptcy prediction model using Graphics Processing Units. - Bernardete Ribeiro; Noel Lopes; Catarina Silva 001 (IJCNN, 2010)

Financial distress model prediction using SVM+. - Bernardete Ribeiro; Catarina Silva 001; Armando Vieira; António Gaspar-Cunha; João Carvalho das Neves (IJCNN, 2010)

Improving recall values in breast cancer diagnosis with Incremental Background Knowledge. - Catarina Silva 001; Bernardete Ribeiro; Noel Lopes (IJCNN, 2010)

Multi-Objective Evolutionary Algorithms for Feature Selection: Application in Bankruptcy Prediction. - António Gaspar-Cunha; Fernando Mendes; João M. M. Duarte; Armando Vieira; Bernardete Ribeiro; André Ribeiro; João Carvalho das Neves (SEAL, 2010)

Feature Selection for Bankruptcy Prediction: A Multi-Objective Optimization Approach. - António Gaspar-Cunha; Fernando Mendes; João M. M. Duarte; Armando Vieira; Bernardete Ribeiro; André Ribeiro; João Carvalho das Neves (Int. J. Nat. Comput. Res., 2010)

An improved approach to steganalysis of JPEG images. - Qingzhong Liu; Andrew H. Sung; Mengyu Qiao; Zhongxue Chen; Bernardete Ribeiro (Inf. Sci., 2010)

Distributed Text Classification With an Ensemble Kernel-Based Learning Approach. - Catarina Silva 001; Uros Lotric; Bernardete Ribeiro; Andrej Dobnikar (IEEE Trans. Syst. Man Cybern. Part C, 2010)

Inductive Inference for Large Scale Text Classification: Kernel Approaches and Techniques - Catarina Silva 001; Bernardete Ribeiro (Springer, 2010)

Deep Learning Networks for Off-Line Handwritten Signature Recognition. - Bernardete Ribeiro; Ivo Gonçalves; Sérgio Santos; Alexander Kovacec (CIARP, 2011)

Bankruptcy Trajectory Analysis on French Companies Using Self-Organizing Map. - Ning Chen 003; Bernardete Ribeiro; Armando Vieira (EPIA, 2011)

Locating Information-hiding in MP3 Audio. - Mengyu Qiao; Andrew H. Sung; Qingzhong Liu; Bernardete Ribeiro (ICAART (1), 2011)

A Hybrid AIS-SVM Ensemble Approach for Text Classification. - Mário Antunes 002; Catarina Silva 001; Bernardete Ribeiro; Manuel Eduardo Correia (ICANNGA (2), 2011)

An Experimental Study on Electrical Signature Identification of Non-Intrusive Load Monitoring (NILM) Systems. - Marisa B. Figueiredo; Ana de Almeida 002; Bernardete Ribeiro (ICANNGA (2), 2011)

A Robust Learning Model for Dealing with Missing Values in Many-Core Architectures. - Noel Lopes; Bernardete Ribeiro (ICANNGA (2), 2011)

Evaluation of a Resource Allocating Network with Long Term Memory Using GPU. - Bernardete Ribeiro; Ricardo Quintas; Noel Lopes (ICANNGA (2), 2011)

An Incremental Class Boundary Preserving Hypersphere Classifier. - Noel Lopes; Bernardete Ribeiro (ICONIP (2), 2011)

Deep Belief Networks for Financial Prediction. - Bernardete Ribeiro; Noel Lopes (ICONIP (3), 2011)

The Importance of Precision in Humour Classification. - Joana Cósta; Catarina Silva 001; Mário Antunes 002; Bernardete Ribeiro (IDEAL, 2011)

Purging False Negatives in Cancer Diagnosis Using Incremental Active Learning. - Catarina Silva 001; Bernardete Ribeiro (IDEAL, 2011)

A fast optimized semi-supervised non-negative Matrix Factorization algorithm. - Noel Lopes; Bernardete Ribeiro (IJCNN, 2011)

Graph weighted subspace learning models in bankruptcy. - Bernardete Ribeiro; Ning Chen 003 (IJCNN, 2011)

Non-intrusive Residential Electrical Consumption Traces. - Marisa B. Figueiredo; Ana de Almeida 002; Bernardete Ribeiro (ISAmI, 2011)

On using crowdsourcing and active learning to improve classification performance. - Joana Cósta; Catarina Silva 001; Mário Antunes 002; Bernardete Ribeiro (ISDA, 2011)

Smart home: A novel model for denoising an electrical signal. - Marisa B. Figueiredo; Ana de Almeida 002; Bernardete Ribeiro (ISDA, 2011)

Get Your Jokes Right: Ask the Crowd. - Joana Cósta; Catarina Silva 001; Mário Antunes 002; Bernardete Ribeiro (MEDI, 2011)

Wavelet Decomposition and Singular Spectrum Analysis for electrical signal denoising. - Marisa B. Figueiredo; Ana de Almeida 002; Bernardete Ribeiro (SMC, 2011)

A genetic algorithm-based approach to cost-sensitive bankruptcy prediction. - Ning Chen 003; Bernardete Ribeiro; Armando Vieira; João M. M. Duarte; João Carvalho das Neves (Expert Syst. Appl., 2011)

A stable credit rating model based on learning vector quantization. - Ning Chen 003; Armando Vieira; Bernardete Ribeiro; João M. M. Duarte; João Carvalho das Neves (Intell. Data Anal., 2011)

An Evaluation of Multiple Feed-Forward Networks on GPUs. - Noel Lopes; Bernardete Ribeiro (Int. J. Neural Syst., 2011)

Improving Convergence of Restricted Boltzmann Machines via a Learning Adaptive Step Size. - Noel Lopes; Bernardete Ribeiro (CIARP, 2012)

Space time frequency (STF) code tensor for the characterization of the epileptic preictal stage. - Bruno Direito; César Alexandre Teixeira; Bernardete Ribeiro; Miguel Castelo-Branco; António Dourado (EMBC, 2012)

An Incremental Hypersphere Learning Framework for Protein Membership Prediction. - Noel Lopes; Daniel Correia; Carlos Pereira; Bernardete Ribeiro; António Dourado (HAIS (1), 2012)

Multi-threaded Support Vector Machines for Pattern Recognition. - João Gonçalves; Noel Lopes; Bernardete Ribeiro (ICONIP (2), 2012)

Biclustering and Subspace Learning with Regularization for Financial Risk Analysis. - Bernardete Ribeiro; Ning Chen 003 (ICONIP (3), 2012)

Credit Scoring for SME Using a Manifold Supervised Learning Algorithm. - Armando Vieira; Bernardete Ribeiro; Ning Chen 003 (IDEAL, 2012)

Restricted Boltzmann Machines and Deep Belief Networks on multi-core processors. - Noel Lopes; Bernardete Ribeiro; João Gonçalves (IJCNN, 2012)

Enhanced default risk models with SVM+. - Bernardete Ribeiro; Catarina Silva 001; Ning Chen 003; Armando Vieira; João Carvalho das Neves (Expert Syst. Appl., 2012)

Towards a hybrid NMF-based neural approach for face recognition on GPUs. - Noel Lopes; Bernardete Ribeiro (Int. J. Data Min. Model. Manag., 2012)

Home electrical signal disaggregation for non-intrusive load monitoring (NILM) systems. - Marisa B. Figueiredo; Ana de Almeida 002; Bernardete Ribeiro (Neurocomputing, 2012)

Extreme Learning Classifier with Deep Concepts. - Bernardete Ribeiro; Noel Lopes (CIARP (1), 2013)

A Consensus Approach for Combining Multiple Classifiers in Cost-Sensitive Bankruptcy Prediction. - Ning Chen 003; Bernardete Ribeiro (ICANNGA, 2013)

Defining Semantic Meta-hashtags for Twitter Classification. - Joana Cósta; Catarina Silva 001; Mário Antunes 002; Bernardete Ribeiro (ICANNGA, 2013)

On the Regularization Parameter Selection for Sparse Code Learning in Electrical Source Separation. - Marisa B. Figueiredo; Bernardete Ribeiro; Ana Maria de Almeida 002 (ICANNGA, 2013)

CrowdTargeting: Making Crowds More Personal. - Joana Cósta; Catarina Silva 001; Bernardete Ribeiro; Mário Antunes 002 (SMAP, 2013)

Clustering and visualization of bankruptcy trajectory using self-organizing map. - Ning Chen 003; Bernardete Ribeiro; Armando Vieira; An Chen (Expert Syst. Appl., 2013)

Customized crowds and active learning to improve classification. - Joana Cósta; Catarina Silva 001; Mário Antunes 002; Bernardete Ribeiro (Expert Syst. Appl., 2013)

Influence of class distribution on cost-sensitive learning: A case study of bankruptcy analysis. - Ning Chen 003; An Chen; Bernardete Ribeiro (Intell. Data Anal., 2013)

Learning from multiple annotators: Distinguishing good from random labelers. - Filipe Rodrigues 001; Francisco C. Pereira; Bernardete Ribeiro (Pattern Recognit. Lett., 2013)

Improving the Generalization Capacity of Cascade Classifiers. - Oswaldo Ludwig; Urbano Nunes 001; Bernardete Ribeiro; Cristiano Premebida (IEEE Trans. Cybern., 2013)

Gaussian Process Classification and Active Learning with Multiple Annotators. - Filipe Rodrigues 001; Francisco C. Pereira; Bernardete Ribeiro (ICML, 2014)

Concept Drift Awareness in Twitter Streams. - Joana Cósta; Catarina Silva 001; Mário Antunes 002; Bernardete Ribeiro (ICMLA, 2014)

Hashing for Financial Credit Risk Analysis. - Bernardete Ribeiro; Ning Chen 003 (ICONIP (2), 2014)

Mining the Big Data: The Critical Feature Dimension Problem. - Qingzhong Liu; Bernardete Ribeiro; Andrew H. Sung; Divya Suryakumar (IIAI-AAI, 2014)

Exploring the performance of non-negative multi-way factorization for household electrical seasonal consumption disaggregation. - Marisa B. Figueiredo; Bernardete Ribeiro; Ana Maria de Almeida 002 (IJCNN, 2014)

Ensemble learning for keyword extraction from event descriptions. - Pedro Geadas; Ana Alves 001; Bernardete Ribeiro (IJCNN, 2014)

Signature identification via efficient feature selection and GPU-based SVM classifier. - Bernardete Ribeiro; Noel Lopes; João Gonçalves (IJCNN, 2014)

Sequence labeling with multiple annotators. - Filipe Rodrigues 001; Francisco C. Pereira; Bernardete Ribeiro (Mach. Learn., 2014)

Towards adaptive learning with improved convergence of deep belief networks on graphics processing units. - Noel Lopes; Bernardete Ribeiro (Pattern Recognit., 2014)

Electrical Signal Source Separation Via Nonnegative Tensor Factorization Using On Site Measurements in a Smart Home. - Marisa B. Figueiredo; Bernardete Ribeiro; Ana de Almeida 002 (IEEE Trans. Instrum. Meas., 2014)

Credit Prediction Using Transfer of Learning via Self-Organizing Maps to Neural Networks. - Ali AghaeiRad; Bernardete Ribeiro (EANN, 2015)

A Structural Pattern Mining Approach for Credit Risk Assessment. - Bernardete Ribeiro; Ning Chen 003; Alexander Kovacec (HAIS, 2015)

Learning Supervised Topic Models from Crowds. - Filipe Rodrigues 001; Bernardete Ribeiro; Mariana Lourenço; Francisco C. Pereira (HCOMP, 2015)

On the Impact of Distance Metrics in Instance-Based Learning Algorithms. - Noel Lopes; Bernardete Ribeiro (IbPRIA, 2015)

DOTS: Drift Oriented Tool System. - Joana Cósta; Catarina Silva 001; Mário Antunes 002; Bernardete Ribeiro (ICONIP (4), 2015)

The Critical Feature Dimension and Critical Sampling Problems. - Bernardete Ribeiro; Andrew H. Sung; Divya Suryakumar; Ram B. Basnet (ICPRAM (1), 2015)

The impact of longstanding messages in micro-blogging classification. - Joana Cósta; Catarina Silva 001; Mário Antunes 002; Bernardete Ribeiro (IJCNN, 2015)

Learning the hash code with generalised regression neural networks for handwritten signature biometric data retrieval. - Bernardete Ribeiro; Noel Lopes; Catarina Silva 001 (IJCNN, 2015)

Active Manifold Learning with Twitter Big Data. - Catarina Silva 001; Mário Antunes 002; Joana Cósta; Bernardete Ribeiro (INNS Conference on Big Data, 2015)

Comparative study of classifier ensembles for cost-sensitive credit risk assessment. - Ning Chen 003; Bernardete Ribeiro; An Chen (Intell. Data Anal., 2015)

Aggregated local models via subspace clustering. - Bernardete Ribeiro; Ning Chen 003 (Intell. Decis. Technol., 2015)

Analysis of trends in seasonal electrical energy consumption via non-negative tensor factorization. - Marisa B. Figueiredo; Bernardete Ribeiro; Ana de Almeida 002 (Neurocomputing, 2015)

How Deep Can We Rely on Emotion Recognition. - Ana Laranjeira; Xavier Frazão; André Pimentel; Bernardete Ribeiro (CIARP, 2016)

Trading off Distance Metrics vs Accuracy in Incremental Learning Algorithms. - Noel Lopes; Bernardete Ribeiro (CIARP, 2016)

Choice of Best Samples for Building Ensembles in Dynamic Environments. - Joana Cósta; Catarina Silva 001; Mário Antunes 002; Bernardete Ribeiro (EANN, 2016)

Automatic graphic logo detection via Fast Region-based Convolutional Networks. - Gonçalo Oliveira; Xavier Frazão; André Pimentel; Bernardete Ribeiro (IJCNN, 2016)

Mahalanobis distance metric learning algorithm for instance-based data stream classification. - Jorge Luis Rivero Pérez; Bernardete Ribeiro; Carlos Morell Pérez (IJCNN, 2016)

Attribute Learning for Network Intrusion Detection. - Jorge Luis Rivero Pérez; Bernardete Ribeiro (INNS Conference on Big Data, 2016)

Sampling and Evaluating the Big Data for Knowledge Discovery. - Andrew H. Sung; Bernardete Ribeiro; Qingzhong Liu (IoTBD, 2016)

Visualization of Individual Ensemble Classifier Contributions. - Catarina Silva 001; Bernardete Ribeiro (IPMU (2), 2016)

Multiclass Ensemble of One-against-all SVM Classifiers. - Catarina Silva 001; Bernardete Ribeiro (ISNN, 2016)

Financial credit risk assessment: a recent review. - Ning Chen 003; Bernardete Ribeiro; An Chen (Artif. Intell. Rev., 2016)

Convex Hull Calculations: a Matlab Implementation and Correctness Proofs for the lrs-Algorithm. - Alexander Kovacec; Bernardete Ribeiro (CoRR, 2016)

Towards tangible benefits of corporate failure prediction with business sector: A comparative study. - Ning Chen 003; An Chen; Bernardete Ribeiro (Intell. Decis. Technol., 2016)

Automatic generation of neural networks with structured Grammatical Evolution. - Filipe Assunção; Nuno Lourenço 002; Penousal Machado; Bernardete Ribeiro (CEC, 2017)

Finding the Critical Sampling of Big Datasets. - José Silva; Bernardete Ribeiro; Andrew H. Sung (Conf. Computing Frontiers, 2017)

Offline and online deep learning for image recognition. - Nguyen Huu Phong; Bernardete Ribeiro (exp.at, 2017)

Performance Metrics for Model Fusion in Twitter Data Drifts. - Joana Cósta; Catarina Silva 001; Mário Antunes 002; Bernardete Ribeiro (IbPRIA, 2017)

Novel Trends in Scaling Up Machine Learning Algorithms. - Noel Lopes; Bernardete Ribeiro (ICMLA, 2017)

A Grassmannian Approach to Zero-Shot Learning for Network Intrusion Detection. - Jorge Luis Rivero Pérez; Bernardete Ribeiro; Ning Chen 003; Fátima Silva Leite (ICONIP (1), 2017)

Probabilistic modeling and visualization for bankruptcy prediction. - Francisco Antunes; Bernardete Ribeiro; Francisco C. Pereira (Appl. Soft Comput., 2017)

Towards the Evolution of Multi-Layered Neural Networks: A Dynamic Structured Grammatical Evolution Approach. - Filipe Assunção; Nuno Lourenço 002; Penousal Machado; Bernardete Ribeiro (CoRR, 2017)

A Comparison of Algorithms for Intrusion Detection on Batch and Data Stream Environments. - Jorge Luis Rivero Pérez; Bernardete Ribeiro; Kadir Hector Ortiz (CoRR, 2017)

Adaptive learning for dynamic environments: A comparative approach. - Joana Cósta; Catarina Silva 001; Mário Antunes 002; Bernardete Ribeiro (Eng. Appl. Artif. Intell., 2017)

Financial credit risk assessment via learning-based hashing. - Bernardete Ribeiro; Ning Chen 003 (Intell. Decis. Technol., 2017)

Improve credit scoring using transfer of learned knowledge from self-organizing map. - Ali AghaeiRad; Ning Chen 003; Bernardete Ribeiro (Neural Comput. Appl., 2017)

A Bayesian Additive Model for Understanding Public Transport Usage in Special Events. - Filipe Rodrigues 001; Stanislav Borysov; Bernardete Ribeiro; Francisco C. Pereira (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Learning Supervised Topic Models for Classification and Regression from Crowds. - Filipe Rodrigues 001; Mariana Lourenço; Bernardete Ribeiro; Francisco C. Pereira (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Importance Weighted Import Vector Machine for Unsupervised Domain Adaptation. - Sirvan Khalighi; Bernardete Ribeiro; Urbano Nunes 001 (IEEE Trans. Cybern., 2017)

Automatic Evolution of AutoEncoders for Compressed Representations. - Filipe Assunção; David Sereno; Nuno Lourenço 002; Penousal Machado; Bernardete Ribeiro (CEC, 2018)

Model Prediction of Defects in Sheet Metal Forming Processes. - Mario Dib; Bernardete Ribeiro; Pedro A. Prates (EANN, 2018)

Using GP Is NEAT: Evolving Compositional Pattern Production Functions. - Filipe Assunção; Nuno Lourenço 002; Penousal Machado; Bernardete Ribeiro (EuroGP, 2018)

Evolving the Topology of Large Scale Deep Neural Networks. - Filipe Assunção; Nuno Lourenço 002; Penousal Machado; Bernardete Ribeiro (EuroGP, 2018)

Active Learning for Input Space Exploration in Traffic Simulators. - Francisco Antunes; Bernardete Ribeiro; Francisco C. Pereira (IJCNN, 2018)

Adaptive Learning Models Evaluation in Twitter's Timelines. - Joana Cósta; Catarina Silva 001; Mário Antunes 002; Bernardete Ribeiro (IJCNN, 2018)

Perceiving Abstract Concepts Via Evolving Computational Cognitive Modeling. - Rahul Sharma 008; Bernardete Ribeiro; Alexandre Miguel Pinto; F. Amílcar Cardoso (IJCNN, 2018)

Dynamic Human Gait VGRF Reference Profile Generation via Extreme Learning Machine. - Alexandra Vieira; Bernardete Ribeiro; Heloisa Sobral; A. Paulo Coimbra; Manuel M. Crisóstomo; João Paulo Ferreira; Tao Liu 006 (IJCNN, 2018)

Learning in Twitter Streams with 280 Character Tweets. - Joana Cósta; Catarina Silva 001; Bernardete Ribeiro (SoCPaR, 2018)

Retweet Predictive Model for Predicting the Popularity of Tweets. - Nelson Oliveira; Joana Cósta; Catarina Silva 001; Bernardete Ribeiro (SoCPaR, 2018)

Optimization of selective ensemble for cost-sensitive classification: An empirical study. - Ning Chen 003; Bernardete Ribeiro; An Chen; Chaosheng Tang (Intell. Decis. Technol., 2018)

Efficient Transport Simulation With Restricted Batch-Mode Active Learning. - Francisco Antunes; Bernardete Ribeiro; Francisco C. Pereira; Rui Gomes (IEEE Trans. Intell. Transp. Syst., 2018)

Fast DENSER: Efficient Deep NeuroEvolution. - Filipe Assunção; Nuno Lourenço 002; Penousal Machado; Bernardete Ribeiro (EuroGP, 2019)

A Hybrid Application for Real-Time Air Quality Monitoring. - Jorge Sá Silva; Pedro Lucas; Filipe Araújo; Catarina Silva 001; Paulo Gil; Alberto Cardoso; Joel Arrais; Bernardete Ribeiro; Daniel Coutinho; Pedro D. Salgueiro; Luís Miguel Rato; José Saias; et al. (exp.at, 2019)

Online Simulation of Methods to Predict the Remaining Useful Lifetime of Aircraft Components. - Daniel Azevedo; Bernardete Ribeiro; Alberto Cardoso (exp.at, 2019)

Web-based tool for predicting the Remaining Useful Lifetime of Aircraft Components. - Daniel Azevedo; Bernardete Ribeiro; Alberto Cardoso (exp.at, 2019)

Smart Home Energy Management Supported by Cloud Computing. - Joaquim Leitão; Paulo Gil; Bernardete Ribeiro; Alberto Cardoso (exp.at, 2019)

An Online Platform For Real-Time Air Quality Monitoring. - Jorge Sá Silva; Pedro Lucas; Filipe Araújo; Catarina Silva 001; Paulo Gil; Alberto Cardoso; Joel Arrais; Bernardete Ribeiro; Daniel Coutinho; Pedro D. Salgueiro; Luís Miguel Rato; José Saias; et al. (exp.at, 2019)

Hierarchical Deep Learning Approach for Plant Disease Detection. - Joana Cósta; Catarina Silva 001; Bernardete Ribeiro (IbPRIA (2), 2019)

An Improvement for Capsule Networks Using Depthwise Separable Convolution. - Nguyen Huu Phong; Bernardete Ribeiro (IbPRIA (1), 2019)

Deep Neural Network Architecture for Drug-Target Interaction Prediction. - Nelson R. C. Monteiro; Bernardete Ribeiro; Joel P. Arrais (ICANN (Workshop), 2019)

Advanced Capsule Networks via Context Awareness. - Nguyen Huu Phong; Bernardete Ribeiro (ICANN (1), 2019)

Directional Grid-Based Search for Simulation Metamodeling Using Active Learning. - Francisco Antunes; Francisco C. Pereira; Bernardete Ribeiro (INTSYS, 2019)

Application for Monitoring and Prediction of Energy and Water Consumption in Domestic Cyber-Physical Systems. - Alberto Cardoso; Joaquim Leitão; Daniel Azevedo; Paulo Gil; Bernardete Ribeiro (REV, 2019)

Fast-DENSER++: Evolving Fully-Trained Deep Artificial Neural Networks. - Filipe Assunção; Nuno Lourenço 002; Penousal Machado; Bernardete Ribeiro (CoRR, 2019)

DENSER: deep evolutionary network structured representation. - Filipe Assunção; Nuno Lourenço 002; Penousal Machado; Bernardete Ribeiro (Genet. Program. Evolvable Mach., 2019)

Multi-label learning vector quantization for semi-supervised classification. - Ning Chen 003; Bernardete Ribeiro; Chaosheng Tang; An Chen (Intell. Data Anal., 2019)

Shaping graph pattern mining for financial risk. - Bernardete Ribeiro; Ning Chen 003; Alexander Kovacec (Neurocomputing, 2019)

Active learning metamodeling for policy analysis: Application to an emergency medical service simulator. - Francisco Antunes; Marco Amorim; Francisco C. Pereira; Bernardete Ribeiro (Simul. Model. Pract. Theory, 2019)

Exploring a Siamese Neural Network Architecture for One-Shot Drug Discovery. - Luis H. M. Torres; Nelson R. C. Monteiro; José Luís Oliveira; Joel Arrais; Bernardete Ribeiro (BIBE, 2020)

Incremental Evolution and Development of Deep Artificial Neural Networks. - Filipe Assunção; Nuno Lourenço 002; Bernardete Ribeiro; Penousal Machado (EuroGP, 2020)

Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution. - Filipe Assunção; Nuno Lourenço 002; Bernardete Ribeiro; Penousal Machado (EvoApplications, 2020)

End-to-end Deep Reinforcement Learning for Targeted Drug Generation. - Tiago Oliveira Pereira 001; Maryam Abbasi; Bernardete Ribeiro; Joel P. Arrais (ICCBB, 2020)

Reconstructing Abstract Concepts and their Blends Via Computational Cognitive Modeling. - Rahul Sharma 008; Bernardete Ribeiro; Alexandre Miguel Pinto; F. Amílcar Cardoso (IJCNN, 2020)

A Survey on Home Energy Management. - Joaquim Leitão; Paulo Gil; Bernardete Ribeiro; Alberto Cardoso (IEEE Access, 2020)

Learning non-convex abstract concepts with regulated activation networks. - Rahul Sharma 008; Bernardete Ribeiro; Alexandre Miguel Pinto; F. Amílcar Cardoso (Ann. Math. Artif. Intell., 2020)

GPU-based fast clustering via K-Centres and k-NN mode seeking for geospatial industry applications. - Ana-Lorena Uribe-Hurtado; Mauricio Orozco-Alzate; Noel Lopes; Bernardete Ribeiro (Comput. Ind., 2020)

Rethinking Recurrent Neural Networks and other Improvements for Image Classification. - Nguyen Huu Phong; Bernardete Ribeiro (CoRR, 2020)

Prediction of the Remaining Useful Life of Aircraft Systems via Web Interface. - Daniel Azevedo; Bernardete Ribeiro; Alberto Cardoso (Int. J. Online Biomed. Eng., 2020)

NanoSen-AQM: From Sensors to Users. - Pedro Lucas; Jorge Sá Silva; Filipe Araújo; Catarina Silva 001; Paulo Gil; Joel P. Arrais; Daniel Coutinho; Pedro D. Salgueiro; Luís Miguel Rato; José Saias; Vítor Nogueira; Alberto Cardoso; et al. (Int. J. Online Biomed. Eng., 2020)

Boosting dynamic ensemble's performance in Twitter. - Joana Cósta; Catarina Silva 001; Mário Antunes 002; Bernardete Ribeiro (Neural Comput. Appl., 2020)

Optimizing Recurrent Neural Network Architectures for De Novo Drug Design. - Beatriz P. Santos; Maryam Abbasi; Tiago Pereira 001; Bernardete Ribeiro; Joel P. Arrais (CBMS, 2021)

Interpreting Decision Patterns in Financial Applications. - Tiago Faria; Catarina Silva 001; Bernardete Ribeiro (CIARP, 2021)

Multiobjective Reinforcement Learning in Optimized Drug Design. - Maryam Abbasi; Tiago Pereira 001; Beatriz P. Santos; Bernardete Ribeiro; Joel Arrais (ESANN, 2021)

Decay Momentum for Improving Federated Learning. - Miguel Fernandes; Catarina Silva 001; Joel Arrais; Alberto Cardoso; Bernardete Ribeiro (ESANN, 2021)

Improvement on Generative Adversarial Network for Targeted Drug Design. - Beatriz P. Santos; Maryam Abbasi; Tiago Pereira 001; Bernardete Ribeiro; Joel Arrais (ESANN, 2021)

A Compressive Receding Horizon Approach for Smart Home Energy Management. - Joaquim Leitão; Carlos M. Fonseca; Paulo Gil; Bernardete Ribeiro; Alberto Cardoso (IEEE Access, 2021)

Optimizing blood-brain barrier permeation through deep reinforcement learning for de novo drug design. - Tiago Pereira 001; Maryam Abbasi; José Luís Oliveira; Bernardete Ribeiro; Joel Arrais (Bioinform., 2021)

Diversity oriented Deep Reinforcement Learning for targeted molecule generation. - Tiago Pereira 001; Maryam Abbasi; Bernardete Ribeiro; Joel P. Arrais (J. Cheminformatics, 2021)

Fast-DENSER: Fast Deep Evolutionary Network Structured Representation. - Filipe Assunção; Nuno Lourenço 002; Bernardete Ribeiro; Penousal Machado (SoftwareX, 2021)

Drug-Target Interaction Prediction: End-to-End Deep Learning Approach. - Nelson R. C. Monteiro; Bernardete Ribeiro; Joel P. Arrais (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Deep Model for Anticancer Drug Response through Genomic Profiles and Compound Structures. - Filipa G. Carvalho; Maryam Abbasi; Bernardete Ribeiro; Joel P. Arrais (CBMS, 2022)

A Generic Approach to Extend Interpretability of Deep Networks. - Catarina Silva 001; António Morais; Bernardete Ribeiro (EPIA, 2022)

PSO-Convolutional Neural Networks With Heterogeneous Learning Rate. - Nguyen Huu Phong; Augusto Santos; Bernardete Ribeiro (IEEE Access, 2022)

Action Recognition for American Sign Language. - Nguyen Huu Phong; Bernardete Ribeiro (CoRR, 2022)

Designing optimized drug candidates with Generative Adversarial Network. - Maryam Abbasi; Beatriz P. Santos; Tiago C. Pereira; Raul Sofia; Nelson R. C. Monteiro; Carlos J. V. Simões; Rui M. M. Brito; Bernardete Ribeiro; José Luís Oliveira; Joel P. Arrais (J. Cheminformatics, 2022)

Correction to: Designing optimized drug candidates with Generative Adversarial Network. - Maryam Abbasi; Beatriz P. Santos; Tiago C. Pereira; Raul Sofa; Nelson R. C. Monteiro; Carlos J. V. Simões; Rui M. M. Brito; Bernardete Ribeiro; José Luís Oliveira; Joel P. Arrais (J. Cheminformatics, 2022)

A human-centric approach to aid in assessing maintenance from the sustainable manufacturing perspective. - José Carlos Almeida; Bernardete Ribeiro; Alberto Cardoso (ANT/EDI40, 2023)

Improving Pest Detection via Transfer Learning. - Dinis Costa; Catarina Silva 001; Joana Cósta; Bernardete Ribeiro (CIARP, 2023)

Forecasting Functional Time Series Using Federated Learning. - Raúl Llasag Rosero; Catarina Silva 001; Bernardete Ribeiro (EANN, 2023)

Enhancing Pest Detection Models Through Improved Annotations. - Dinis Costa; Catarina Silva 001; Joana Cósta; Bernardete Ribeiro (EPIA (2), 2023)

Towards Interpretability in Fintech Applications via Knowledge Augmentation. - Catarina Silva 001; Tiago Faria; Bernardete Ribeiro (EPIA (1), 2023)

Convolutional Transformer via Graph Embeddings for Few-shot Toxicity and Side Effect Prediction. - Luis H. M. Torres; Bernardete Ribeiro; Joel Arrais (ESANN, 2023)

Smart Pest Detection in the Wild. - Dinis Costa; Catarina Silva 001; Joana Cósta; Bernardete Ribeiro (exp.at, 2023)

Intelligent System for Automatic Whitefly Detection in Tomato Greenhouses. - Dinis Costa; Bruno Cardoso; Catarina Silva 001; Joana Cósta; Bernardete Ribeiro (exp.at, 2023)

Optimizing Object Detection Models via Active Learning. - Dinis Costa; Catarina Silva 001; Joana Cósta; Bernardete Ribeiro (IbPRIA, 2023)

On the Quantization of Recurrent Neural Networks for Smiles Generation. - Adriano Durao; Joel P. Arrais; Bernardete Ribeiro; Gabriel Falcao (ICASSP, 2023)

Video Action Recognition Collaborative Learning with Dynamics via PSO-ConvNet Transformer. - Nguyen Huu Phong; Bernardete Ribeiro (CoRR, 2023)

Few-shot learning via graph embeddings with convolutional networks for low-data molecular property prediction. - Luis H. M. Torres; Joel P. Arrais; Bernardete Ribeiro (Neural Comput. Appl., 2023)

Few-shot learning with transformers via graph embeddings for molecular property prediction. - Luis H. M. Torres; Bernardete Ribeiro; Joel P. Arrais (Expert Syst. Appl., 2023)

Exploring Neural Joint Activity in Spiking Neural Networks for Fraud Detection. - Dylan Perdigão; Francisco Antunes; Catarina Silva 001; Bernardete Ribeiro (CIARP (2), 2024)

Improving Fraud Detection with 1D-Convolutional Spiking Neural Networks Through Bayesian Optimization. - Dylan Perdigão; Francisco Antunes; Catarina Silva 001; Bernardete Ribeiro (EPIA (3), 2024)

Predicting drug activity against cancer through genomic profiles and SMILES. - Maryam Abbasi; Filipa G. Carvalho; Bernardete Ribeiro; Joel P. Arrais (Artif. Intell. Medicine, 2024)

Multi-scale cross-attention transformer via graph embeddings for few-shot molecular property prediction. - Luis H. M. Torres; Bernardete Ribeiro; Joel P. Arrais (Appl. Soft Comput., 2024)

The Significance of Latent Data Divergence in Predicting System Degradation. - Miguel Fernandes; Catarina Silva 001; Alberto Cardoso; Bernardete Ribeiro (CoRR, 2024)

A Hybrid GNN Approach for Improved Molecular Property Prediction. - Pedro Quesado; Luis H. M. Torres; Bernardete Ribeiro; Joel P. Arrais (J. Comput. Biol., 2024)

SecFL - Secure Federated Learning Framework for predicting defects in sheet metal forming under variability. - Mario Dib; Pedro A. Prates; Bernardete Ribeiro (Expert Syst. Appl., 2024)

DylanPerdigao/Bayesian-Optimization-1D-CSNN. - Dylan Perdigão; Francisco Antunes; Catarina Silva 001; Bernardete Ribeiro (Zenodo, 2024)

Combining graph neural networks and transformers for few-shot nuclear receptor binding activity prediction. - Luis H. M. Torres; Joel P. Arrais; Bernardete Ribeiro (J. Cheminformatics, 2024)

Label synchronization for Hybrid Federated Learning in manufacturing and predictive maintenance. - Raúl Llasag Rosero; Catarina Silva 001; Bernardete Ribeiro; Bruno F. Santos (J. Intell. Manuf., 2024)

Spiking Alternatives for the Leaky Integrate-and-Fire Neuron: Applications in Cybersecurity and Financial Threats. - Dylan Perdigão; Francisco Antunes; Catarina Silva 001; Bernardete Ribeiro (IbPRIA, 2025)

Rethinking transformers with convolution and graph embeddings for few-shot molecular property discovery. - Luis H. M. Torres; Joel P. Arrais; Bernardete Ribeiro (Pattern Recognit., 2025)

Convolutional Spiking Neural Networks targeting learning and inference in highly imbalanced datasets. - Bernardete Ribeiro; Francisco Antunes; Dylan Perdigão; Catarina Silva 001 (Pattern Recognit. Lett., 2025)

Label synchronization strategies for hybrid federated learning. - Raúl Llasag Rosero; Catarina Silva 001; Bernardete Ribeiro; Melania Albisser; Martin H. Brutsche; Manuel Arias Chao (Reliab. Eng. Syst. Saf., 2025)

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation. - Huu Phong Nguyen; Shekhar Madhav Khairnar; Sofia Garces Palacios; Amr Al-Abbas; Francisco Antunes; Bernardete Ribeiro; Melissa E. Hogg; Amer H. Zureikat; Patricio M. Polanco; Herbert Zeh III; Ganesh Sankaranarayanan (CoRR, 2025)

A Multi-objective Reinforcement Learning Model to Support Decision-Makers in Assessing Key Maintenance Factors for Sustainable Manufacturing. - José Carlos Almeida; Bernardete Ribeiro; Alberto Cardoso (Oper. Res. Forum, 2025)