Bernardete Ribeiro

271 papers A* 2B 41C 37Misc 10Journal 96Unranked 79

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Multi-objective Reinforcement Learning Model to Support Decision-Makers in Assessing Key Maintenance Factors for Sustainable Manufacturing. Oper. Res. Forum José Carlos Almeida, Bernardete Ribeiro, Alberto Cardoso
2025	—	`conf`	Active Replay for Continual Learning in Plant Species Classification. exp.at Dinis Costa, Joana Cósta, Bernardete Ribeiro, José Paulo Sousa, Rui Pedro Paiva, José Rafael Silva, Rui Lourenço, Catarina Silva
2025	J	`jnl`	CalibraSNN: Fair and Calibrated Convolutional Spiking Neural Network for High-Stakes Industry Applications. IEEE Access Dylan Perdigão, Francisco Antunes, Catarina Silva, Bernardete Ribeiro
2025	J	`jnl`	Convolutional Spiking Neural Networks targeting learning and inference in highly imbalanced datasets. Pattern Recognit. Lett. Bernardete Ribeiro, Francisco Antunes, Dylan Perdigão, Catarina Silva
2025	—	`conf`	Convolutional Spiking Neural Networks with Molecular Fingerprints for Drug Discovery. EPIA (1) Dinu Bosîi, Luis H. M. Torres, Joel P. Arrais, Bernardete Ribeiro
2025	J	`jnl`	Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation. CoRR 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
2025	J	`jnl`	Label synchronization strategies for hybrid federated learning. Reliab. Eng. Syst. Saf. Raúl Llasag Rosero, Catarina Silva, Bernardete Ribeiro, Melania Albisser, Martin H. Brutsche, Manuel Arias Chao
2025	J	`jnl`	Rethinking transformers with convolution and graph embeddings for few-shot molecular property discovery. Pattern Recognit. Luis H. M. Torres, Joel P. Arrais, Bernardete Ribeiro
2025	Misc	`conf`	Spiking Alternatives for the Leaky Integrate-and-Fire Neuron: Applications in Cybersecurity and Financial Threats. IbPRIA Dylan Perdigão, Francisco Antunes, Catarina Silva, Bernardete Ribeiro
2024	J	`jnl`	A Hybrid GNN Approach for Improved Molecular Property Prediction. J. Comput. Biol. Pedro Quesado, Luis H. M. Torres, Bernardete Ribeiro, Joel P. Arrais
2024	J	`jnl`	Combining graph neural networks and transformers for few-shot nuclear receptor binding activity prediction. J. Cheminformatics Luis H. M. Torres, Joel P. Arrais, Bernardete Ribeiro
2024	—	`conf`	Exploring Neural Joint Activity in Spiking Neural Networks for Fraud Detection. CIARP (2) Dylan Perdigão, Francisco Antunes, Catarina Silva, Bernardete Ribeiro
2024	—	`conf`	Improving Fraud Detection with 1D-Convolutional Spiking Neural Networks Through Bayesian Optimization. EPIA (3) Dylan Perdigão, Francisco Antunes, Catarina Silva, Bernardete Ribeiro
2024	J	`jnl`	Label synchronization for Hybrid Federated Learning in manufacturing and predictive maintenance. J. Intell. Manuf. Raúl Llasag Rosero, Catarina Silva, Bernardete Ribeiro, Bruno F. Santos
2024	J	`jnl`	Multi-scale cross-attention transformer via graph embeddings for few-shot molecular property prediction. Appl. Soft Comput. Luis H. M. Torres, Bernardete Ribeiro, Joel P. Arrais
2024	J	`jnl`	Predicting drug activity against cancer through genomic profiles and SMILES. Artif. Intell. Medicine Maryam Abbasi, Filipa G. Carvalho, Bernardete Ribeiro, Joel P. Arrais
2024	J	`jnl`	SecFL - Secure Federated Learning Framework for predicting defects in sheet metal forming under variability. Expert Syst. Appl. Mario Dib, Pedro A. Prates, Bernardete Ribeiro
2024	J	`jnl`	The Significance of Latent Data Divergence in Predicting System Degradation. CoRR Miguel Fernandes, Catarina Silva, Alberto Cardoso, Bernardete Ribeiro
2023	—	`conf`	A human-centric approach to aid in assessing maintenance from the sustainable manufacturing perspective. ANT/EDI40 José Carlos Almeida, Bernardete Ribeiro, Alberto Cardoso
2023	B	`conf`	Convolutional Transformer via Graph Embeddings for Few-shot Toxicity and Side Effect Prediction. ESANN Luis H. M. Torres, Bernardete Ribeiro, Joel Arrais
2023	—	`conf`	Enhancing Pest Detection Models Through Improved Annotations. EPIA (2) Dinis Costa, Catarina Silva, Joana Cósta, Bernardete Ribeiro
2023	J	`jnl`	Few-shot learning via graph embeddings with convolutional networks for low-data molecular property prediction. Neural Comput. Appl. Luis H. M. Torres, Joel P. Arrais, Bernardete Ribeiro
2023	J	`jnl`	Few-shot learning with transformers via graph embeddings for molecular property prediction. Expert Syst. Appl. Luis H. M. Torres, Bernardete Ribeiro, Joel P. Arrais
2023	C	`conf`	Forecasting Functional Time Series Using Federated Learning. EANN Raúl Llasag Rosero, Catarina Silva, Bernardete Ribeiro
2023	C	`conf`	Improving Pest Detection via Transfer Learning. CIARP Dinis Costa, Catarina Silva, Joana Cósta, Bernardete Ribeiro
2023	—	`conf`	Intelligent System for Automatic Whitefly Detection in Tomato Greenhouses. exp.at Dinis Costa, Bruno Cardoso, Catarina Silva, Joana Cósta, Bernardete Ribeiro
2023	Misc	`conf`	On the Quantization of Recurrent Neural Networks for Smiles Generation. ICASSP Adriano Durao, Joel P. Arrais, Bernardete Ribeiro, Gabriel Falcao
2023	Misc	`conf`	Optimizing Object Detection Models via Active Learning. IbPRIA Dinis Costa, Catarina Silva, Joana Cósta, Bernardete Ribeiro
2023	—	`conf`	Smart Pest Detection in the Wild. exp.at Dinis Costa, Catarina Silva, Joana Cósta, Bernardete Ribeiro
2023	—	`conf`	Towards Interpretability in Fintech Applications via Knowledge Augmentation. EPIA (1) Catarina Silva, Tiago Faria, Bernardete Ribeiro
2023	J	`jnl`	Video Action Recognition Collaborative Learning with Dynamics via PSO-ConvNet Transformer. CoRR Nguyen Huu Phong, Bernardete Ribeiro
2022	Misc	`conf`	A Generic Approach to Extend Interpretability of Deep Networks. EPIA Catarina Silva, António Morais, Bernardete Ribeiro
2022	J	`jnl`	Action Recognition for American Sign Language. CoRR Nguyen Huu Phong, Bernardete Ribeiro
2022	J	`jnl`	Correction to: Designing optimized drug candidates with Generative Adversarial Network. J. Cheminformatics 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
2022	B	`conf`	Deep Model for Anticancer Drug Response through Genomic Profiles and Compound Structures. CBMS Filipa G. Carvalho, Maryam Abbasi, Bernardete Ribeiro, Joel P. Arrais
2022	J	`jnl`	Designing optimized drug candidates with Generative Adversarial Network. J. Cheminformatics 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
2022	J	`jnl`	PSO-Convolutional Neural Networks With Heterogeneous Learning Rate. IEEE Access Nguyen Huu Phong, Augusto Santos, Bernardete Ribeiro
2022	J	`jnl`	PSO-Convolutional Neural Networks with Heterogeneous Learning Rate. CoRR Nguyen Huu Phong, Augusto Santos, Bernardete Ribeiro
2022	Misc	`ed.`	Progress in Artificial Intelligence - 21st EPIA Conference on Artificial Intelligence, EPIA 2022, Lisbon, Portugal, August 31 - September 2, 2022, Proceedings EPIA Goreti Marreiros, Bruno Martins, Ana Paiva, Bernardete Ribeiro, Alberto Sardinha
2021	J	`jnl`	A Compressive Receding Horizon Approach for Smart Home Energy Management. IEEE Access Joaquim Leitão, Carlos M. Fonseca, Paulo Gil, Bernardete Ribeiro, Alberto Cardoso
2021	B	`conf`	Decay Momentum for Improving Federated Learning. ESANN Miguel Fernandes, Catarina Silva, Joel Arrais, Alberto Cardoso, Bernardete Ribeiro
2021	J	`jnl`	Diversity oriented Deep Reinforcement Learning for targeted molecule generation. J. Cheminformatics Tiago Pereira, Maryam Abbasi, Bernardete Ribeiro, Joel P. Arrais
2021	J	`jnl`	Drug-Target Interaction Prediction: End-to-End Deep Learning Approach. IEEE ACM Trans. Comput. Biol. Bioinform. Nelson R. C. Monteiro, Bernardete Ribeiro, Joel P. Arrais
2021	J	`jnl`	Fast-DENSER: Fast Deep Evolutionary Network Structured Representation. SoftwareX Filipe Assunção, Nuno Lourenço, Bernardete Ribeiro, Penousal Machado
2021	B	`conf`	Improvement on Generative Adversarial Network for Targeted Drug Design. ESANN Beatriz P. Santos, Maryam Abbasi, Tiago Pereira, Bernardete Ribeiro, Joel Arrais
2021	C	`conf`	Interpreting Decision Patterns in Financial Applications. CIARP Tiago Faria, Catarina Silva, Bernardete Ribeiro
2021	B	`conf`	Multiobjective Reinforcement Learning in Optimized Drug Design. ESANN Maryam Abbasi, Tiago Pereira, Beatriz P. Santos, Bernardete Ribeiro, Joel Arrais
2021	B	`conf`	Optimizing Recurrent Neural Network Architectures for De Novo Drug Design. CBMS Beatriz P. Santos, Maryam Abbasi, Tiago Pereira, Bernardete Ribeiro, Joel P. Arrais
2021	J	`jnl`	Optimizing blood-brain barrier permeation through deep reinforcement learning for de novo drug design. Bioinform. Tiago Pereira, Maryam Abbasi, José Luís Oliveira, Bernardete Ribeiro, Joel Arrais
2020	J	`jnl`	A Survey on Home Energy Management. IEEE Access Joaquim Leitão, Paulo Gil, Bernardete Ribeiro, Alberto Cardoso
2020	J	`jnl`	An Improvement for Capsule Networks using Depthwise Separable Convolution. CoRR Nguyen Huu Phong, Bernardete Ribeiro
2020	J	`jnl`	Boosting dynamic ensemble's performance in Twitter. Neural Comput. Appl. Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro
2020	—	`conf`	End-to-end Deep Reinforcement Learning for Targeted Drug Generation. ICCBB Tiago Oliveira Pereira, Maryam Abbasi, Bernardete Ribeiro, Joel P. Arrais
2020	B	`conf`	Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution. EvoApplications Filipe Assunção, Nuno Lourenço, Bernardete Ribeiro, Penousal Machado
2020	J	`jnl`	Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution. CoRR Filipe Assunção, Nuno Lourenço, Bernardete Ribeiro, Penousal Machado
2020	C	`conf`	Exploring a Siamese Neural Network Architecture for One-Shot Drug Discovery. BIBE Luis H. M. Torres, Nelson R. C. Monteiro, José Luís Oliveira, Joel Arrais, Bernardete Ribeiro
2020	J	`jnl`	GPU-based fast clustering via K-Centres and k-NN mode seeking for geospatial industry applications. Comput. Ind. Ana-Lorena Uribe-Hurtado, Mauricio Orozco-Alzate, Noel Lopes, Bernardete Ribeiro
2020	B	`conf`	Incremental Evolution and Development of Deep Artificial Neural Networks. EuroGP Filipe Assunção, Nuno Lourenço, Bernardete Ribeiro, Penousal Machado
2020	J	`jnl`	Incremental Evolution and Development of Deep Artificial Neural Networks. CoRR Filipe Assunção, Nuno Lourenço, Bernardete Ribeiro, Penousal Machado
2020	J	`jnl`	Learning non-convex abstract concepts with regulated activation networks. Ann. Math. Artif. Intell. Rahul Sharma, Bernardete Ribeiro, Alexandre Miguel Pinto, F. Amílcar Cardoso
2020	J	`jnl`	NanoSen-AQM: From Sensors to Users. Int. J. Online Biomed. Eng. Pedro Lucas, Jorge Sá Silva, Filipe Araújo, Catarina Silva, Paulo Gil, Joel P. Arrais, Daniel Coutinho, Pedro D. Salgueiro, Luís Miguel Rato, José Saias, Vítor Nogueira, Alberto Cardoso, Bernardete Ribeiro
2020	J	`jnl`	Prediction of the Remaining Useful Life of Aircraft Systems via Web Interface. Int. J. Online Biomed. Eng. Daniel Azevedo, Bernardete Ribeiro, Alberto Cardoso
2020	B	`conf`	Reconstructing Abstract Concepts and their Blends Via Computational Cognitive Modeling. IJCNN Rahul Sharma, Bernardete Ribeiro, Alexandre Miguel Pinto, F. Amílcar Cardoso
2020	J	`jnl`	Rethinking Recurrent Neural Networks and other Improvements for Image Classification. CoRR Nguyen Huu Phong, Bernardete Ribeiro
2019	—	`conf`	A Hybrid Application for Real-Time Air Quality Monitoring. exp.at Jorge Sá Silva, Pedro Lucas, Filipe Araújo, Catarina Silva, Paulo Gil, Alberto Cardoso, Joel Arrais, Bernardete Ribeiro, Daniel Coutinho, Pedro D. Salgueiro, Luís Miguel Rato, José Saias, Vítor Nogueira
2019	J	`jnl`	Active learning metamodeling for policy analysis: Application to an emergency medical service simulator. Simul. Model. Pract. Theory Francisco Antunes, Marco Amorim, Francisco C. Pereira, Bernardete Ribeiro
2019	—	`conf`	Advanced Capsule Networks via Context Awareness. ICANN (1) Nguyen Huu Phong, Bernardete Ribeiro
2019	J	`jnl`	Advanced Capsule Networks via Context Awareness. CoRR Nguyen Huu Phong, Bernardete Ribeiro
2019	—	`conf`	An Improvement for Capsule Networks Using Depthwise Separable Convolution. IbPRIA (1) Nguyen Huu Phong, Bernardete Ribeiro
2019	—	`conf`	An Online Platform For Real-Time Air Quality Monitoring. exp.at Jorge Sá Silva, Pedro Lucas, Filipe Araújo, Catarina Silva, Paulo Gil, Alberto Cardoso, Joel Arrais, Bernardete Ribeiro, Daniel Coutinho, Pedro D. Salgueiro, Luís Miguel Rato, José Saias, Vítor Nogueira
2019	—	`conf`	Application for Monitoring and Prediction of Energy and Water Consumption in Domestic Cyber-Physical Systems. REV Alberto Cardoso, Joaquim Leitão, Daniel Azevedo, Paulo Gil, Bernardete Ribeiro
2019	J	`jnl`	DENSER: deep evolutionary network structured representation. Genet. Program. Evolvable Mach. Filipe Assunção, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro
2019	—	`conf`	Deep Neural Network Architecture for Drug-Target Interaction Prediction. ICANN (Workshop) Nelson R. C. Monteiro, Bernardete Ribeiro, Joel P. Arrais
2019	—	`conf`	Directional Grid-Based Search for Simulation Metamodeling Using Active Learning. INTSYS Francisco Antunes, Francisco C. Pereira, Bernardete Ribeiro
2019	B	`conf`	Fast DENSER: Efficient Deep NeuroEvolution. EuroGP Filipe Assunção, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro
2019	J	`jnl`	Fast-DENSER++: Evolving Fully-Trained Deep Artificial Neural Networks. CoRR Filipe Assunção, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro
2019	—	`conf`	Hierarchical Deep Learning Approach for Plant Disease Detection. IbPRIA (2) Joana Cósta, Catarina Silva, Bernardete Ribeiro
2019	J	`jnl`	Multi-label learning vector quantization for semi-supervised classification. Intell. Data Anal. Ning Chen, Bernardete Ribeiro, Chaosheng Tang, An Chen
2019	J	`jnl`	Offline and Online Deep Learning for Image Recognition. CoRR Nguyen Huu Phong, Bernardete Ribeiro
2019	—	`conf`	Online Simulation of Methods to Predict the Remaining Useful Lifetime of Aircraft Components. exp.at Daniel Azevedo, Bernardete Ribeiro, Alberto Cardoso
2019	—	`ed.`	Pattern Recognition and Image Analysis - 9th Iberian Conference, IbPRIA 2019, Madrid, Spain, July 1-4, 2019, Proceedings, Part I IbPRIA (1) Aythami Morales, Julian Fiérrez, José Salvador Sánchez, Bernardete Ribeiro
2019	—	`ed.`	Pattern Recognition and Image Analysis - 9th Iberian Conference, IbPRIA 2019, Madrid, Spain, July 1-4, 2019, Proceedings, Part II IbPRIA (2) Aythami Morales, Julian Fiérrez, José Salvador Sánchez, Bernardete Ribeiro
2019	J	`jnl`	Shaping graph pattern mining for financial risk. Neurocomputing Bernardete Ribeiro, Ning Chen, Alexander Kovacec
2019	—	`conf`	Smart Home Energy Management Supported by Cloud Computing. exp.at Joaquim Leitão, Paulo Gil, Bernardete Ribeiro, Alberto Cardoso
2019	—	`conf`	Web-based tool for predicting the Remaining Useful Lifetime of Aircraft Components. exp.at Daniel Azevedo, Bernardete Ribeiro, Alberto Cardoso
2018	J	`jnl`	A Bayesian Additive Model for Understanding Public Transport Usage in Special Events. CoRR Filipe Rodrigues, Stanislav S. Borysov, Bernardete Ribeiro, Francisco C. Pereira
2018	B	`conf`	Active Learning for Input Space Exploration in Traffic Simulators. IJCNN Francisco Antunes, Bernardete Ribeiro, Francisco C. Pereira
2018	B	`conf`	Adaptive Learning Models Evaluation in Twitter's Timelines. IJCNN Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro
2018	B	`conf`	Automatic Evolution of AutoEncoders for Compressed Representations. CEC Filipe Assunção, David Sereno, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro
2018	J	`jnl`	DENSER: Deep Evolutionary Network Structured Representation. CoRR Filipe Assunção, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro
2018	B	`conf`	Dynamic Human Gait VGRF Reference Profile Generation via Extreme Learning Machine. IJCNN Alexandra Vieira, Bernardete Ribeiro, Heloisa Sobral, A. Paulo Coimbra, Manuel M. Crisóstomo, João Paulo Ferreira, Tao Liu
2018	J	`jnl`	Efficient Transport Simulation With Restricted Batch-Mode Active Learning. IEEE Trans. Intell. Transp. Syst. Francisco Antunes, Bernardete Ribeiro, Francisco C. Pereira, Rui Gomes
2018	B	`conf`	Evolving the Topology of Large Scale Deep Neural Networks. EuroGP Filipe Assunção, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro
2018	J	`jnl`	Learning Supervised Topic Models for Classification and Regression from Crowds. CoRR Filipe Rodrigues, Mariana Lourenço, Bernardete Ribeiro, Francisco C. Pereira
2018	—	`conf`	Learning in Twitter Streams with 280 Character Tweets. SoCPaR Joana Cósta, Catarina Silva, Bernardete Ribeiro
2018	C	`conf`	Model Prediction of Defects in Sheet Metal Forming Processes. EANN Mario Dib, Bernardete Ribeiro, Pedro A. Prates
2018	J	`jnl`	Optimization of selective ensemble for cost-sensitive classification: An empirical study. Intell. Decis. Technol. Ning Chen, Bernardete Ribeiro, An Chen, Chaosheng Tang
2018	B	`conf`	Perceiving Abstract Concepts Via Evolving Computational Cognitive Modeling. IJCNN Rahul Sharma, Bernardete Ribeiro, Alexandre Miguel Pinto, F. Amílcar Cardoso
2018	—	`conf`	Retweet Predictive Model for Predicting the Popularity of Tweets. SoCPaR Nelson Oliveira, Joana Cósta, Catarina Silva, Bernardete Ribeiro
2018	B	`conf`	Using GP Is NEAT: Evolving Compositional Pattern Production Functions. EuroGP Filipe Assunção, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro
2017	J	`jnl`	A Bayesian Additive Model for Understanding Public Transport Usage in Special Events. IEEE Trans. Pattern Anal. Mach. Intell. Filipe Rodrigues, Stanislav Borysov, Bernardete Ribeiro, Francisco C. Pereira
2017	J	`jnl`	A Comparison of Algorithms for Intrusion Detection on Batch and Data Stream Environments. CoRR Jorge Luis Rivero Pérez, Bernardete Ribeiro, Kadir Hector Ortiz
2017	—	`conf`	A Grassmannian Approach to Zero-Shot Learning for Network Intrusion Detection. ICONIP (1) Jorge Luis Rivero Pérez, Bernardete Ribeiro, Ning Chen, Fátima Silva Leite
2017	J	`jnl`	A Grassmannian Approach to Zero-Shot Learning for Network Intrusion Detection. CoRR Jorge Luis Rivero Pérez, Bernardete Ribeiro, Ning Chen, Fátima Silva Leite
2017	J	`jnl`	Adaptive learning for dynamic environments: A comparative approach. Eng. Appl. Artif. Intell. Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro
2017	B	`conf`	Automatic generation of neural networks with structured Grammatical Evolution. CEC Filipe Assunção, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro
2017	J	`jnl`	Financial credit risk assessment via learning-based hashing. Intell. Decis. Technol. Bernardete Ribeiro, Ning Chen
2017	—	`conf`	Finding the Critical Sampling of Big Datasets. Conf. Computing Frontiers José Silva, Bernardete Ribeiro, Andrew H. Sung
2017	J	`jnl`	Importance Weighted Import Vector Machine for Unsupervised Domain Adaptation. IEEE Trans. Cybern. Sirvan Khalighi, Bernardete Ribeiro, Urbano Nunes
2017	J	`jnl`	Improve credit scoring using transfer of learned knowledge from self-organizing map. Neural Comput. Appl. Ali AghaeiRad, Ning Chen, Bernardete Ribeiro
2017	J	`jnl`	Learning Supervised Topic Models for Classification and Regression from Crowds. IEEE Trans. Pattern Anal. Mach. Intell. Filipe Rodrigues, Mariana Lourenço, Bernardete Ribeiro, Francisco C. Pereira
2017	C	`conf`	Novel Trends in Scaling Up Machine Learning Algorithms. ICMLA Noel Lopes, Bernardete Ribeiro
2017	—	`conf`	Offline and online deep learning for image recognition. exp.at Nguyen Huu Phong, Bernardete Ribeiro
2017	Misc	`conf`	Performance Metrics for Model Fusion in Twitter Data Drifts. IbPRIA Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro
2017	J	`jnl`	Probabilistic modeling and visualization for bankruptcy prediction. Appl. Soft Comput. Francisco Antunes, Bernardete Ribeiro, Francisco C. Pereira
2017	J	`jnl`	Towards the Evolution of Multi-Layered Neural Networks: A Dynamic Structured Grammatical Evolution Approach. CoRR Filipe Assunção, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro
2016	—	`conf`	Attribute Learning for Network Intrusion Detection. INNS Conference on Big Data Jorge Luis Rivero Pérez, Bernardete Ribeiro
2016	J	`jnl`	Attribute Learning for Network Intrusion Detection. CoRR Jorge Luis Rivero Pérez, Bernardete Ribeiro
2016	J	`jnl`	Automatic Graphic Logo Detection via Fast Region-based Convolutional Networks. CoRR Gonçalo Oliveira, Xavier Frazão, André Pimentel, Bernardete Ribeiro
2016	B	`conf`	Automatic graphic logo detection via Fast Region-based Convolutional Networks. IJCNN Gonçalo Oliveira, Xavier Frazão, André Pimentel, Bernardete Ribeiro
2016	C	`conf`	Choice of Best Samples for Building Ensembles in Dynamic Environments. EANN Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro
2016	J	`jnl`	Convex Hull Calculations: a Matlab Implementation and Correctness Proofs for the lrs-Algorithm. CoRR Alexander Kovacec, Bernardete Ribeiro
2016	J	`jnl`	Financial credit risk assessment: a recent review. Artif. Intell. Rev. Ning Chen, Bernardete Ribeiro, An Chen
2016	C	`conf`	How Deep Can We Rely on Emotion Recognition. CIARP Ana Laranjeira, Xavier Frazão, André Pimentel, Bernardete Ribeiro
2016	J	`jnl`	Mahalanobis Distance Metric Learning Algorithm for Instance-based Data Stream Classification. CoRR Jorge Luis Rivero Pérez, Bernardete Ribeiro, Carlos Morell Pérez
2016	B	`conf`	Mahalanobis distance metric learning algorithm for instance-based data stream classification. IJCNN Jorge Luis Rivero Pérez, Bernardete Ribeiro, Carlos Morell Pérez
2016	C	`conf`	Multiclass Ensemble of One-against-all SVM Classifiers. ISNN Catarina Silva, Bernardete Ribeiro
2016	—	`conf`	Sampling and Evaluating the Big Data for Knowledge Discovery. IoTBD Andrew H. Sung, Bernardete Ribeiro, Qingzhong Liu
2016	J	`jnl`	Towards tangible benefits of corporate failure prediction with business sector: A comparative study. Intell. Decis. Technol. Ning Chen, An Chen, Bernardete Ribeiro
2016	C	`conf`	Trading off Distance Metrics vs Accuracy in Incremental Learning Algorithms. CIARP Noel Lopes, Bernardete Ribeiro
2016	—	`conf`	Visualization of Individual Ensemble Classifier Contributions. IPMU (2) Catarina Silva, Bernardete Ribeiro
2015	Misc	`conf`	A Structural Pattern Mining Approach for Credit Risk Assessment. HAIS Bernardete Ribeiro, Ning Chen, Alexander Kovacec
2015	—	`conf`	Active Manifold Learning with Twitter Big Data. INNS Conference on Big Data Catarina Silva, Mário Antunes, Joana Cósta, Bernardete Ribeiro
2015	J	`jnl`	Aggregated local models via subspace clustering. Intell. Decis. Technol. Bernardete Ribeiro, Ning Chen
2015	J	`jnl`	Analysis of trends in seasonal electrical energy consumption via non-negative tensor factorization. Neurocomputing Marisa B. Figueiredo, Bernardete Ribeiro, Ana de Almeida
2015	J	`jnl`	Comparative study of classifier ensembles for cost-sensitive credit risk assessment. Intell. Data Anal. Ning Chen, Bernardete Ribeiro, An Chen
2015	C	`conf`	Credit Prediction Using Transfer of Learning via Self-Organizing Maps to Neural Networks. EANN Ali AghaeiRad, Bernardete Ribeiro
2015	—	`conf`	DOTS: Drift Oriented Tool System. ICONIP (4) Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro
2015	B	`conf`	Learning Supervised Topic Models from Crowds. HCOMP Filipe Rodrigues, Bernardete Ribeiro, Mariana Lourenço, Francisco C. Pereira
2015	B	`conf`	Learning the hash code with generalised regression neural networks for handwritten signature biometric data retrieval. IJCNN Bernardete Ribeiro, Noel Lopes, Catarina Silva
2015	Misc	`conf`	On the Impact of Distance Metrics in Instance-Based Learning Algorithms. IbPRIA Noel Lopes, Bernardete Ribeiro
2015	—	`conf`	The Critical Feature Dimension and Critical Sampling Problems. ICPRAM (1) Bernardete Ribeiro, Andrew H. Sung, Divya Suryakumar, Ram B. Basnet
2015	B	`conf`	The impact of longstanding messages in micro-blogging classification. IJCNN Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro
2014	C	`conf`	Concept Drift Awareness in Twitter Streams. ICMLA Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro
2014	J	`jnl`	Electrical Signal Source Separation Via Nonnegative Tensor Factorization Using On Site Measurements in a Smart Home. IEEE Trans. Instrum. Meas. Marisa B. Figueiredo, Bernardete Ribeiro, Ana de Almeida
2014	B	`conf`	Ensemble learning for keyword extraction from event descriptions. IJCNN Pedro Geadas, Ana Alves, Bernardete Ribeiro
2014	B	`conf`	Exploring the performance of non-negative multi-way factorization for household electrical seasonal consumption disaggregation. IJCNN Marisa B. Figueiredo, Bernardete Ribeiro, Ana Maria de Almeida
2014	A*	`conf`	Gaussian Process Classification and Active Learning with Multiple Annotators. ICML Filipe Rodrigues, Francisco C. Pereira, Bernardete Ribeiro
2014	—	`conf`	Hashing for Financial Credit Risk Analysis. ICONIP (2) Bernardete Ribeiro, Ning Chen
2014	—	`conf`	Mining the Big Data: The Critical Feature Dimension Problem. IIAI-AAI Qingzhong Liu, Bernardete Ribeiro, Andrew H. Sung, Divya Suryakumar
2014	J	`jnl`	Sequence labeling with multiple annotators. Mach. Learn. Filipe Rodrigues, Francisco C. Pereira, Bernardete Ribeiro
2014	B	`conf`	Signature identification via efficient feature selection and GPU-based SVM classifier. IJCNN Bernardete Ribeiro, Noel Lopes, João Gonçalves
2014	J	`jnl`	Towards adaptive learning with improved convergence of deep belief networks on graphics processing units. Pattern Recognit. Noel Lopes, Bernardete Ribeiro
2013	—	`conf`	A Consensus Approach for Combining Multiple Classifiers in Cost-Sensitive Bankruptcy Prediction. ICANNGA Ning Chen, Bernardete Ribeiro
2013	J	`jnl`	Clustering and visualization of bankruptcy trajectory using self-organizing map. Expert Syst. Appl. Ning Chen, Bernardete Ribeiro, Armando Vieira, An Chen
2013	—	`conf`	CrowdTargeting: Making Crowds More Personal. SMAP Joana Cósta, Catarina Silva, Bernardete Ribeiro, Mário Antunes
2013	J	`jnl`	Customized crowds and active learning to improve classification. Expert Syst. Appl. Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro
2013	—	`conf`	Defining Semantic Meta-hashtags for Twitter Classification. ICANNGA Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro
2013	—	`conf`	Extreme Learning Classifier with Deep Concepts. CIARP (1) Bernardete Ribeiro, Noel Lopes
2013	J	`jnl`	Improving the Generalization Capacity of Cascade Classifiers. IEEE Trans. Cybern. Oswaldo Ludwig, Urbano Nunes, Bernardete Ribeiro, Cristiano Premebida
2013	J	`jnl`	Influence of class distribution on cost-sensitive learning: A case study of bankruptcy analysis. Intell. Data Anal. Ning Chen, An Chen, Bernardete Ribeiro
2013	J	`jnl`	Learning from multiple annotators: Distinguishing good from random labelers. Pattern Recognit. Lett. Filipe Rodrigues, Francisco C. Pereira, Bernardete Ribeiro
2013	—	`conf`	On the Regularization Parameter Selection for Sparse Code Learning in Electrical Source Separation. ICANNGA Marisa B. Figueiredo, Bernardete Ribeiro, Ana Maria de Almeida
2012	—	`conf`	An Incremental Hypersphere Learning Framework for Protein Membership Prediction. HAIS (1) Noel Lopes, Daniel Correia, Carlos Pereira, Bernardete Ribeiro, António Dourado
2012	—	`conf`	Biclustering and Subspace Learning with Regularization for Financial Risk Analysis. ICONIP (3) Bernardete Ribeiro, Ning Chen
2012	C	`conf`	Credit Scoring for SME Using a Manifold Supervised Learning Algorithm. IDEAL Armando Vieira, Bernardete Ribeiro, Ning Chen
2012	J	`jnl`	Enhanced default risk models with SVM+. Expert Syst. Appl. Bernardete Ribeiro, Catarina Silva, Ning Chen, Armando Vieira, João Carvalho das Neves
2012	J	`jnl`	Home electrical signal disaggregation for non-intrusive load monitoring (NILM) systems. Neurocomputing Marisa B. Figueiredo, Ana de Almeida, Bernardete Ribeiro
2012	C	`conf`	Improving Convergence of Restricted Boltzmann Machines via a Learning Adaptive Step Size. CIARP Noel Lopes, Bernardete Ribeiro
2012	—	`conf`	Multi-threaded Support Vector Machines for Pattern Recognition. ICONIP (2) João Gonçalves, Noel Lopes, Bernardete Ribeiro
2012	B	`conf`	Restricted Boltzmann Machines and Deep Belief Networks on multi-core processors. IJCNN Noel Lopes, Bernardete Ribeiro, João Gonçalves
2012	—	`conf`	Space time frequency (STF) code tensor for the characterization of the epileptic preictal stage. EMBC Bruno Direito, César Alexandre Teixeira, Bernardete Ribeiro, Miguel Castelo-Branco, António Dourado
2012	J	`jnl`	Towards a hybrid NMF-based neural approach for face recognition on GPUs. Int. J. Data Min. Model. Manag. Noel Lopes, Bernardete Ribeiro
2011	—	`conf`	A Hybrid AIS-SVM Ensemble Approach for Text Classification. ICANNGA (2) Mário Antunes, Catarina Silva, Bernardete Ribeiro, Manuel Eduardo Correia
2011	—	`conf`	A Robust Learning Model for Dealing with Missing Values in Many-Core Architectures. ICANNGA (2) Noel Lopes, Bernardete Ribeiro
2011	B	`conf`	A fast optimized semi-supervised non-negative Matrix Factorization algorithm. IJCNN Noel Lopes, Bernardete Ribeiro
2011	J	`jnl`	A genetic algorithm-based approach to cost-sensitive bankruptcy prediction. Expert Syst. Appl. Ning Chen, Bernardete Ribeiro, Armando Vieira, João M. M. Duarte, João Carvalho das Neves
2011	J	`jnl`	A stable credit rating model based on learning vector quantization. Intell. Data Anal. Ning Chen, Armando Vieira, Bernardete Ribeiro, João M. M. Duarte, João Carvalho das Neves
2011	J	`jnl`	An Evaluation of Multiple Feed-Forward Networks on GPUs. Int. J. Neural Syst. Noel Lopes, Bernardete Ribeiro
2011	—	`conf`	An Experimental Study on Electrical Signature Identification of Non-Intrusive Load Monitoring (NILM) Systems. ICANNGA (2) Marisa B. Figueiredo, Ana de Almeida, Bernardete Ribeiro
2011	—	`conf`	An Incremental Class Boundary Preserving Hypersphere Classifier. ICONIP (2) Noel Lopes, Bernardete Ribeiro
2011	Misc	`conf`	Bankruptcy Trajectory Analysis on French Companies Using Self-Organizing Map. EPIA Ning Chen, Bernardete Ribeiro, Armando Vieira
2011	—	`conf`	Deep Belief Networks for Financial Prediction. ICONIP (3) Bernardete Ribeiro, Noel Lopes
2011	C	`conf`	Deep Learning Networks for Off-Line Handwritten Signature Recognition. CIARP Bernardete Ribeiro, Ivo Gonçalves, Sérgio Santos, Alexander Kovacec
2011	—	`conf`	Evaluation of a Resource Allocating Network with Long Term Memory Using GPU. ICANNGA (2) Bernardete Ribeiro, Ricardo Quintas, Noel Lopes
2011	C	`conf`	Get Your Jokes Right: Ask the Crowd. MEDI Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro
2011	B	`conf`	Graph weighted subspace learning models in bankruptcy. IJCNN Bernardete Ribeiro, Ning Chen
2011	—	`conf`	Locating Information-hiding in MP3 Audio. ICAART (1) Mengyu Qiao, Andrew H. Sung, Qingzhong Liu, Bernardete Ribeiro
2011	—	`conf`	Non-intrusive Residential Electrical Consumption Traces. ISAmI Marisa B. Figueiredo, Ana de Almeida, Bernardete Ribeiro
2011	C	`conf`	On using crowdsourcing and active learning to improve classification performance. ISDA Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro
2011	C	`conf`	Purging False Negatives in Cancer Diagnosis Using Incremental Active Learning. IDEAL Catarina Silva, Bernardete Ribeiro
2011	C	`conf`	Smart home: A novel model for denoising an electrical signal. ISDA Marisa B. Figueiredo, Ana de Almeida, Bernardete Ribeiro
2011	C	`conf`	The Importance of Precision in Humour Classification. IDEAL Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro
2011	B	`conf`	Wavelet Decomposition and Singular Spectrum Analysis for electrical signal denoising. SMC Marisa B. Figueiredo, Ana de Almeida, Bernardete Ribeiro
2010	C	`conf`	A Hybrid Face Recognition Approach Using GPUMLib. CIARP Noel Lopes, Bernardete Ribeiro
2010	B	`conf`	A strategy for dealing with missing values by using selective activation neurons in a multi-topology framework. IJCNN Noel Lopes, Bernardete Ribeiro
2010	J	`jnl`	An improved approach to steganalysis of JPEG images. Inf. Sci. Qingzhong Liu, Andrew H. Sung, Mengyu Qiao, Zhongxue Chen, Bernardete Ribeiro
2010	J	`jnl`	Distributed Text Classification With an Ensemble Kernel-Based Learning Approach. IEEE Trans. Syst. Man Cybern. Part C Catarina Silva, Uros Lotric, Bernardete Ribeiro, Andrej Dobnikar
2010	C	`conf`	Extracting Features from an Electrical Signal of a Non-Intrusive Load Monitoring System. IDEAL Marisa B. Figueiredo, Ana de Almeida, Bernardete Ribeiro, António Martins
2010	J	`jnl`	Feature Selection for Bankruptcy Prediction: A Multi-Objective Optimization Approach. Int. J. Nat. Comput. Res. António Gaspar-Cunha, Fernando Mendes, João M. M. Duarte, Armando Vieira, Bernardete Ribeiro, André Ribeiro, João Carvalho das Neves
2010	B	`conf`	Financial distress model prediction using SVM+. IJCNN Bernardete Ribeiro, Catarina Silva, Armando Vieira, António Gaspar-Cunha, João Carvalho das Neves
2010	C	`conf`	GPUMLib: A new Library to combine Machine Learning algorithms with Graphics Processing Units. HIS Noel Lopes, Bernardete Ribeiro, Ricardo Quintas
2010	B	`conf`	High-performance bankruptcy prediction model using Graphics Processing Units. IJCNN Bernardete Ribeiro, Noel Lopes, Catarina Silva
2010	B	`conf`	Improving recall values in breast cancer diagnosis with Incremental Background Knowledge. IJCNN Catarina Silva, Bernardete Ribeiro, Noel Lopes
2010	—	`book`	Inductive Inference for Large Scale Text Classification: Kernel Approaches and Techniques Catarina Silva, Bernardete Ribeiro
2010	—	`conf`	Multi-Objective Evolutionary Algorithms for Feature Selection: Application in Bankruptcy Prediction. SEAL António Gaspar-Cunha, Fernando Mendes, João M. M. Duarte, Armando Vieira, Bernardete Ribeiro, André Ribeiro, João Carvalho das Neves
2010	C	`conf`	Non-negative Matrix Factorization Implementation Using Graphic Processing Units. IDEAL Noel Lopes, Bernardete Ribeiro
2010	—	`conf`	Stochastic GPU-based Multithread Implementation of Multiple Back-propagation. ICAART (1) Noel Lopes, Bernardete Ribeiro
2010	—	`conf`	Weighted Learning Vector Quantization to Cost-Sensitive Learning. ICANN (3) Ning Chen, Bernardete Ribeiro, Armando Vieira, João M. M. Duarte, João Carvalho das Neves
2009	—	`conf`	Accurate Prediction of Financial Distress of Companies with Machine Learning Algorithms. ICANNGA Armando Vieira, João M. M. Duarte, Bernardete Ribeiro, João Carvalho das Neves
2009	—	`conf`	Classification of Mass Spectrometry Data - Using Manifold and Supervised Distance Metric Learning. BIOSIGNALS Qingzhong Liu, Andrew H. Sung, Bernardete Ribeiro, Mengyu Qiao
2009	J	`jnl`	Control of a Biped Robot With Support Vector Regression in Sagittal Plane. IEEE Trans. Instrum. Meas. João Paulo Ferreira, Manuel Marques Crisóstomo, A. Paulo Coimbra, Bernardete Ribeiro
2009	Misc	`conf`	Cost-Sensitive Learning Vector Quantization for Financial Distress Prediction. EPIA Ning Chen, Armando Vieira, João M. M. Duarte, Bernardete Ribeiro, João Carvalho das Neves
2009	—	`conf`	Extracting Discriminative Features Using Non-negative Matrix Factorization in Financial Distress Data. ICANNGA Bernardete Ribeiro, Catarina Silva, Armando Vieira, João Carvalho das Neves
2009	C	`conf`	Fast Pattern Classification of Ventricular Arrhythmias Using Graphics Processing Units. CIARP Noel Lopes, Bernardete Ribeiro
2009	C	`conf`	GPU Implementation of the Multiple Back-Propagation Algorithm. IDEAL Noel Lopes, Bernardete Ribeiro
2009	—	`conf`	Improving Text Classification Performance with Incremental Background Knowledge. ICANN (1) Catarina Silva, Bernardete Ribeiro
2009	—	`conf`	Improving Visualization, Scalability and Performance of Multiclass Problems with SVM Manifold Learning. ICANNGA Catarina Silva, Bernardete Ribeiro
2009	C	`conf`	Knowledge Extraction with Non-Negative Matrix Factorization for Text Classification. IDEAL Catarina Silva, Bernardete Ribeiro
2009	B	`conf`	Using Expanded Markov Process and Joint Distribution Features for JPEG Steganalysis. ICAART Qingzhong Liu, Andrew H. Sung, Mengyu Qiao, Bernardete Ribeiro
2008	B	`conf`	Building resilient classifiers for LSB matching steganography. IJCNN Rita Ferreira, Bernardete Ribeiro, Catarina Silva, Qingzhong Liu, Andrew H. Sung
2008	—	`conf`	Distributed Ensemble Learning in Text Classification. ICEIS (2) Catarina Silva, Bernardete Ribeiro, Uros Lotric, Andrej Dobnikar
2008	B	`conf`	Evaluation system for e-learning with pattern mining tools. SMC Bernardete Ribeiro, Alberto Cardoso
2008	J	`jnl`	Image complexity and feature mining for steganalysis of least significant bit matching steganography. Inf. Sci. Qingzhong Liu, Andrew H. Sung, Bernardete Ribeiro, Mingzhen Wei, Zhongxue Chen, Jianyun Xu
2008	—	`conf`	Improving Personal Credit Scoring with HLVQ-C. ICONIP (2) Armando Vieira, João M. M. Duarte, Bernardete Ribeiro, João Carvalho das Neves
2008	—	`conf`	Learning Manifolds for Bankruptcy Analysis. ICONIP (1) Bernardete Ribeiro, Armando Vieira, João M. M. Duarte, Catarina Silva, João Carvalho das Neves, Qingzhong Liu, Andrew H. Sung
2008	C	`conf`	Selecting Examples in Manifold Reduced Feature Space for Active Learning. ICMLA Catarina Silva, Bernardete Ribeiro
2008	—	`conf`	Several Enhancements to Hermite-Based Approximation of One-Variable Functions. ICANN (1) Bartlomiej Beliczynski, Bernardete Ribeiro
2008	B	`conf`	Steganalysis of multi-class JPEG images based on expanded Markov features and polynomial fitting. IJCNN Qingzhong Liu, Andrew H. Sung, Bernardete Ribeiro, Rita Ferreira
2008	C	`conf`	Supervised Isomap with Dissimilarity Measures in Embedding Learning. CIARP Bernardete Ribeiro, Armando Vieira, João Carvalho das Neves
2008	—	`conf`	Text Classification on Embedded Manifolds. IBERAMIA Catarina Silva, Bernardete Ribeiro
2008	J	`jnl`	Towards Expanding Relevance Vector Machines to Large Scale Datasets. Int. J. Neural Syst. Catarina Silva, Bernardete Ribeiro
2007	—	`ed.`	Adaptive and Natural Computing Algorithms, 8th International Conference, ICANNGA 2007, Warsaw, Poland, April 11-14, 2007, Proceedings, Part I ICANNGA (1) Bartlomiej Beliczynski, Andrzej Dzielinski, Marcin Iwanowski, Bernardete Ribeiro
2007	—	`ed.`	Adaptive and Natural Computing Algorithms, 8th International Conference, ICANNGA 2007, Warsaw, Poland, April 11-14, 2007, Proceedings, Part II ICANNGA (2) Bartlomiej Beliczynski, Andrzej Dzielinski, Marcin Iwanowski, Bernardete Ribeiro
2007	—	`conf`	An ECG compression approach based on a segment dictionary and bezier approximations. EUSIPCO Mário Brito, Jorge Henriques, Paulo Carvalho, Bernardete Ribeiro, Manuel Antunes
2007	—	`conf`	Biased Support Vector Machines and Kernel Methods for Intrusion Detection. World Congress on Engineering Krishna Yendrapalli, Srinivas Mukkamala, Andrew H. Sung, Bernardete Ribeiro
2007	—	`conf`	Boosting RVM Classifiers for Large Data Sets. ICANNGA (2) Catarina Silva, Bernardete Ribeiro, Andrew H. Sung
2007	J	`jnl`	Choosing Real-Time Predictors for Ventricular Arrhythmia Detection. Int. J. Pattern Recognit. Artif. Intell. Bernardete Ribeiro, Amândio Marques, Jorge Henriques, Manuel Antunes
2007	C	`conf`	Combining active learning and relevance vector machines for text classification. ICMLA Catarina Silva, Bernardete Ribeiro
2007	J	`jnl`	On Text-based Mining with Active Learning and Background Knowledge Using SVM. Soft Comput. Catarina Silva, Bernardete Ribeiro
2007	—	`conf`	Support, Relevance and Spectral Learning for Time Series. ICANNGA (2) Bernardete Ribeiro
2006	C	`conf`	Automated Learning of RVM for Large Scale Text Sets: Divide to Conquer. IDEAL Catarina Silva, Bernardete Ribeiro
2006	—	`conf`	Image Complexity and Feature Extraction for Steganalysis of LSB Matching Steganography. ICPR (2) Qingzhong Liu, Andrew H. Sung, Jianyun Xu, Bernardete Ribeiro
2006	B	`conf`	Scaling Text Classification with Relevance Vector Machines. SMC Catarina Silva, Bernardete Ribeiro
2006	B	`conf`	Sparse Bayesian Models: Bankruptcy-Predictors of Choice? IJCNN Bernardete Ribeiro, Armando Vieira, João Carvalho das Neves
2006	C	`conf`	Two-Level Hierarchical Hybrid SVM-RVM Classification Model. ICMLA Catarina Silva, Bernardete Ribeiro
2005	J	`jnl`	On the Evaluation of Minkovsky Kernel for SVMs. Neural Parallel Sci. Comput. Bernardete Ribeiro
2005	J	`jnl`	Selective Classification and Regression Models Based on Support Vector Clustering. Neural Parallel Sci. Comput. Bernardete Ribeiro
2005	C	`conf`	Speeding-up text categorization in a grid computing environment. ICMLA Catarina Silva, Bernardete Ribeiro, Uros Lotric
2005	J	`jnl`	Support vector machines for quality monitoring in a plastic injection molding process. IEEE Trans. Syst. Man Cybern. Part C Bernardete Ribeiro
2004	C	`conf`	Margin-Based Active Learning and Background Knowledge in Text Mining. HIS Catarina Silva, Bernardete Ribeiro
2003	—	`conf`	A framework for neural quality control systems design. ICANNGA N. Costa, Bernardete Ribeiro
2003	J	`jnl`	An Efficient Gradient-based Learning Algorithm Applied to Neural Networks with Selective Actuation Neurons. Neural Parallel Sci. Comput. Noel Lopes, Bernardete Ribeiro
2003	—	`conf`	An Inductive Inference Approach to Large Scale Text Categorisation. ICANNGA Catarina Silva, Bernardete Ribeiro
2003	C	`conf`	Learning Adaptive Kernels for Model Diagnosis. HIS Bernardete Ribeiro
2003	J	`jnl`	Navigating mobile robots with a modular neural architecture. Neural Comput. Appl. Catarina Silva, Bernardete Ribeiro
2003	C	`conf`	On the Evaluation of Text Processing in Text Categorization. ICMLA Catarina Silva, Bernardete Ribeiro
2002	—	`conf`	Bayes Information Criterion for Tikhonov Regularization with Linear Constraints: Application to Spectral Data Estimation. ICPR (1) Paulo Carvalho, Amâncio Santos, António Dourado, Bernardete Ribeiro
2002	C	`conf`	Mercer's Kernel Based Learning for Fault Detection. HIS Bernardete Ribeiro, Paulo Carvalho
2001	J	`jnl`	A neural network for shortest path computation. IEEE Trans. Neural Networks Filipe Araújo, Bernardete Ribeiro, Luís E. T. Rodrigues
2001	A*	`conf`	Learning Spectral Calibration Parameters For Color Inspection. ICCV Paulo Carvalho, Amâncio Santos, António Dourado, Bernardete Ribeiro
2001	—	`conf`	On the estimation of spectral data: a genetic algorithm approach. ICIP (1) Paulo Carvalho, Amâncio Santos, Bernardete Ribeiro, António Dourado
2000	—	`conf`	MONODA: A Neural Modular Architecture for Obstacle Avoidance without Knowledge of the Environment. IJCNN (6) Catarina Silva, Manuel M. Crisóstomo, Bernardete Ribeiro
1999	—	`conf`	A neural prediction model for monitoring and fault diagnosis of a plastic injection moulding process. ECC N. Costa, Bernardete Ribeiro
1999	B	`conf`	Fault detection in a thermoplastic injection molding process using neural networks. IJCNN Bernardete Ribeiro
1999	—	`conf`	Monitoring an Industrial Plastic Injection Moulding Machine Using Neural Networks. ICANNGA N. Costa, António Gaspar-Cunha, Bernardete Ribeiro
1999	J	`jnl`	On the Use of Neural Networks and Geometrical Criteria for Localisation of Highly Irregular Elliptical Shapes. Pattern Anal. Appl. Paulo Carvalho, N. Costa, Bernardete Ribeiro
1997	—	`conf`	A Model-based Neural Network Controller for a Process Trainer Laboratory Equipment. ICANNGA Bernardete Ribeiro, Alberto Cardoso
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	—	`conf`	Industrial Kiln Multivariable Control: MNN and RBFNN Approaches. ICANNGA Bernardete Ribeiro, António Dourado, Ernesto Costa
1995	—	`conf`	Lime Kiln Fault Detection and Diagnosis by Neural Networks. ICANNGA Bernardete Ribeiro, Ernesto Costa, António Dourado