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Identificação

Identificação pessoal

Nome completo
Bernardete Ribeiro

Nomes de citação

  • Ribeiro, Bernardete
  • B Ribeiro

Identificadores de autor

Ciência ID
3F19-1A9B-3803
ORCID iD
0000-0002-9770-7672
Google Scholar ID
iASQcSYAAAAJ
Researcher Id
A-8010-2016
Scopus Author Id
35577774200

Websites

  • https://apps.uc.pt/mypage/faculty/uc25930 (Profissional)
  • https://eden.dei.uc.pt/~bribeiro/pagina/ (Pessoal)
  • https://www.cisuc.uc.pt/people/show/2020 (Académico)

Domínios de atuação

  • Ciências Exatas - Ciências da Computação e da Informação

Idiomas

Idioma Conversação Leitura Escrita Compreensão Peer-review
Inglês Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador proficiente (C1)
Francês Utilizador independente (B1) Utilizador proficiente (C1) Utilizador independente (B1) Utilizador independente (B1)
Espanhol; Castelhano Utilizador independente (B1) Utilizador proficiente (C1) Utilizador independente (B1) Utilizador independente (B1)
Alemão Utilizador elementar (A1) Utilizador elementar (A1) Utilizador elementar (A1) Utilizador elementar (A1)
Formação
Grau Classificação
2010
Concluído
Agregação em Engenharia Informática (Título de Agregado)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
"Computational Intelligence: Neural Networks and Kernel Methods" (TESE/DISSERTAÇÃO)
APROVADA POR UNANIMIDADE
1995
Concluído
Doutoramento em Engenharia Electrocténcia Especialidade de Informática (Doutoramento)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
"Contribuição para a Modelização, Controlo Multivariável e Diagnóstico por Redes Neuronais: Aplicação a um Forno de Cal"" (TESE/DISSERTAÇÃO)
EXCELLENT (DISTINCAO E LOUVOR POR UNANIMIDADE)
1995
Concluído
Engenharia Electrotécnica (Doutoramento)
Especialização em Especialidade: Informática
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
"Contribuição para a Modelização, Supervisão e Controlo de Sistemas Multivariáveis Não Lineares por Redes Neuronais com Aplicação a um Forno de Cal" (TESE/DISSERTAÇÃO)
1987
Concluído
Mestrado em Ciências da Computação (Computer Science) (Mestrado)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
"DINTER: Um Simulador de Processos de Destilação" (TESE/DISSERTAÇÃO)
VERY GOOD
1975
Concluído
Licenciatura em Engenharia Química (Licenciatura)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
"Produção de Energia a partir de Resíduos de Madeira," (TESE/DISSERTAÇÃO)
15
Percurso profissional

Docência no Ensino Superior

2018/04/24 - Atual Professor Catedrático (Docente Universitário)
Empregador
Universidade de Coimbra, Portugal
2005/11/01 - 2010/04/24 Professor Associado (Docente Universitário)
Empregador
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
1996/10/15 - 2005/12/29 Professor Auxiliar (Docente Universitário)
Empregador
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
1989/10/15 - 1996/10/14 Professor Adjunto (Docente Ensino Superior Politécnico)
Empregador
Instituto Politecnico de Coimbra Instituto Superior de Engenharia de Coimbra, Portugal
1975/10/15 - 1989/10/14 Assistente (Docente Ensino Superior Politécnico)
Empregador
Instituto Politecnico de Coimbra Instituto Superior de Engenharia de Coimbra, Portugal
1973 - 1975 Monitor (Docente Universitário)
Empregador
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal

Cargos e Funções

2017 - 2021 Coordenação ou direção de centro de investigação, departamento ou equivalente
Empregador
Universidade de Coimbra, Portugal

Outros

2010/11/25 - 2018/04/23 Associate Professor with Habilitation (Aggregation)
Empregador
New Mexico Institute of Mining and Technology, Estados Unidos
2004/03/01 - 2005/02/01 Visiting Professor
Empregador
New Mexico Institute of Mining and Technology, Estados Unidos
Projetos

Projeto

Designação Financiadores
2020 - 2024/04 Fintech and Artificial Intelligence in Finance - Towards a transparent financial industry
COST ACTION CA19130
Investigador
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
European Cooperation in Science and Technology (COST Action)
2018 - 2022/04 H2020 - REMAP- Real-time Condition-based Maintenance for Adaptive Aircraft Maintenance Planning (Local UC Coordinator)
H2020-EU-769288-2
Investigador responsável
Horizon 2020
2019 - 2022/02/28 Onde está o fogo? - Identificação, posicionamento e monitorização de incêndios florestais com dados disponibilizados pelos cidadãos
PCIF/MPG/0128/2017
Investigador
Universidade de Coimbra Instituto de Engenharia de Sistemas e Computadores de Coimbra, Portugal

Universidade de Coimbra, Portugal
Fundação para a Ciência e a Tecnologia
2018 - 2021/05/31 Conceção Robusta de Processos de Conformação de Chapas Metálicas para Reduzir Perdas de Produtividade
PTDC/EME-EME/31243/2017
Investigador
Universidade de Coimbra, Portugal

Instituto de Engenharia Mecanica e Gestao Industrial, Portugal

Universidade de Aveiro, Portugal
Fundação para a Ciência e a Tecnologia
2018 - 2021/04 RDForming - Robust Design of Sheet Metal Forming Processes to Reduce Productivity Losses
FCT-02/SAICT/2017-031243
Investigador
Fundação de Ciências e Tecnologia
2018 - 2021/04 D4-FCT: Deep Drug Discovery and Deployment
FCT-SAICT-2017-029266
Investigador responsável
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
Fundação Ciência e Tecnologia
2018 - 2021/03 NanoSen-AQM - Development and field validation of a low-cost nano-sensor system for real-time monitoring of ambient air quality
SOE2/P1/E0569 (EU-INTERREG-SUDOE)
Investigador responsável
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
EU Framework Programme for Research and Innovation Societal Challenges
2016 - 2019/12/31 SOCIALITE – Arquiteturas, Soluções e Ambiente para uma Internet das Coisas Orientada para as Pessoas
PTDC/EEI-SCR/2072/2014
Investigador
Universidade de Coimbra, Portugal
Fundação para a Ciência e a Tecnologia
2016 - 2019 SASSI - Sistema de Apoio à Decisão de Segurança em Sistemas Informáticos
PORTUGAL 2020 (Lisbon, PT2020 )
Investigador
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
Fundação para a Ciência e a Tecnologia
2013 - 2017 Eureka SD - Enhancing University Research and Education in Areas Useful for Sustainable Development
European Commission (oldenburg)
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
Eureka
2012 - 2017 COST Action TD1105 - European Network on New Sensing Technologies for Air-Pollution Control and Environmental Sustainability - EuNetAir
COST Action TD1105
Investigador
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
European Cooperation in Science and Technology (COST Action)
2014 - 2016 CIF: SMALL: RUI: Novel Detection Approaches with Comprehensive Hybrid Intelligent Systems for Multimedia Forensics
National Science Foundation (NSF, VA)
Investigador
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
2010 - 2013 STEG: Development and Quantitative Evaluation of Steganalysis and Digital Forgery Detection Systems
10/1/2010–8/31/2013
US Department of Justice
2010 - 2013 STEG: Development and Quantitative Evaluation of Steganalysis and Digital Forgery Detection Systems
10/1/20108/31/2013
US Department of Justice
2010 - 2013 STEG: Development and Quantitative Evaluation of Steganalysis and Digital Forgery Detection Systems
10/1/2010–8/31/2013
US Department of Justice
2007 - 2010/08/31 Melhorar a Análise do Risco Financeiro usando ferramentas de Data-Mining
PTDC/GES/70168/2006
Investigador responsável
Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto, Portugal

Universidade do Minho, Portugal

Universidade de Coimbra, Portugal
Fundação para a Ciência e a Tecnologia
2008 - 2010 BIOINK: Incremental Kernel Learning for Biological Data Analysis
PTDC/EIA/71770/2006
Investigador
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
Fundação para a Ciência e Tecnologia
2007 - 2010 FP7 - EPILEPSIAE: Evolving Platform for Improving Living Expectation of Patients
Research Executive Agency (Brussels)
Investigador
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
European Commission Seventh Framework Programme for Research and Technological Development
2006 - 2010 CACTUS: Computational Analysis of Cyber Terrorism against the U.S.
U.S. Army White Sands Missile Range (DC, DC)
Investigador
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
2007 - 2009 EUREKA IBEROAMERICA: Red Iberoamericana de Descubrimiento de Conocimientos
Ciencia y Tecnologia Para el Desarollo (CYTED)
Investigador
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
2004 - 2009 MyHeart: fighting cardiovascular disease by preventive lifestyle and early diagnosis
FP6- 507816
Investigador responsável
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
European Commission Sixth Framework Programme
2006 - 2008 GRID II: Global GRID for Data Mining with Soft Computing on Large Data Bases
Ministério da Ciência, Tecnologia e Ensino Superior (MES)
Investigador responsável
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
Ministério da Educação
2004 - 2007 FP6 - MyHeart
FP6/2002/IST/1
European Commission
2004 - 2006 GRID I: Intelligent Data Processing in GRID Technology with Applications to Industry and Medicine
Ministério da Ciência, Tecnologia e Ensino Superior (MES)
Investigador responsável
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
Ministério da Educação
2002 - 2005/12 CATCH: Inductive Inference for Large Scale Data Base Text CATegorization using Support Vector MaCHines
/POSI/SRI/41234/2001
Investigador responsável
Fundação para a Ciência e Tecnologia
2001 - 2004/06 EUNITE: The European Network on Intelligent Technologies for Smart Adaptive Systems
IST-2000-29207
European Union
2001 - 2004 OLLICON- On-line learning in Intelligent Control
PRAXIS (FCT)
Investigador
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
Fundação para a Ciência e a Tecnologia
1998 - 2001 NEURATEL: Neural Networks for Telecommunications
NEU9801
Investigador responsável
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
Alfa (América Latina Formación Académica) .
1997 - 2000 NEUROPLAS
NP- 9700
Investigador
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
1995 - 1999 COSY-ESF: Control of Complex Systems
European Science Foundation (ESF)
Investigador
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
European Science Foundation
1991 - 1993 CALEXX: Multimedia Materials for Process Automation
calex9193
Investigador
1986 - 1989 SICAGE: Sistema Integrado de Controlo e de Apoio à Gestão
JNICT/FCI/ 308.86.74/1986/89
JNICT

Outro

Designação Financiadores
2007 - 2010/01 RISK: Improving Financial Risk Analysis with Advanced Data- Mining Tools
PTDC/GES/70168/2006
Orientador
Fundação para a Ciência e Tecnologia
1991 - 1993 Modélisation de Processus de Production de Pâte à Papier
Fundação para a Ciência e a Tecnologia, I.P. (Lisbon)
Investigador
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
Ministério da Educação
Produções

Publicações

Artigo em conferência
  1. Azevedo, D.; Ribeiro, B.; Cardoso, A.. "Online simulation of methods to predict the remaining useful lifetime of aircraft components". 2019.
    10.1109/EXPAT.2019.8876574
  2. Silva, J.; Lucas, P.; Araujo, F.; Silva, C.; Gil, P.; Cardoso, A.; Arrais, J.; et al. "A hybrid application for real-time air quality monitoring". 2019.
    10.1109/EXPAT.2019.8876498
  3. Leitao, J.; Gil, P.; Ribeiro, B.; Cardoso, A.. "Smart Home Energy Management Supported by Cloud Computing". 2019.
    10.1109/EXPAT.2019.8876531
  4. Silva, J.; Lucas, P.; Araujo, F.; Silva, C.; Gil, P.; Cardoso, A.; Arrais, J.; et al. "An online platform for real-time air quality monitoring". 2019.
    10.1109/EXPAT.2019.8876486
  5. Azevedo, D.; Ribeiro, B.; Cardoso, A.. "Web-based tool for predicting the Remaining Useful Lifetime of Aircraft Components". 2019.
    10.1109/EXPAT.2019.8876503
  6. Ribeiro, Bernardete. "Epileptic seizure prediction with stacked auto-encoders: Lessons from the evaluation on a large and collaborative database". 2018.
    10.1007/978-981-10-7419-6_2
  7. Ribeiro, Bernardete. "Active Learning for Input Space Exploration in Traffic Simulators". 2018.
    10.1109/IJCNN.2018.8489302
  8. Ribeiro, Bernardete. "Dynamic Human Gait VGRF Reference Profile Generation via Extreme Learning Machine". 2018.
    10.1109/IJCNN.2018.8489062
  9. Ribeiro, Bernardete. "Adaptive Learning Models Evaluation in Twitter's Timelines". 2018.
    10.1109/IJCNN.2018.8489275
  10. Ribeiro, Bernardete. "Perceiving Abstract Concepts Via Evolving Computational Cognitive Modeling". 2018.
    10.1109/IJCNN.2018.8489505
  11. Ribeiro, Bernardete. "Automatic Evolution of AutoEncoders for Compressed Representations". 2018.
    10.1109/CEC.2018.8477874
  12. Ribeiro, Bernardete. "Model Prediction of Defects in Sheet Metal Forming Processes". 2018.
    10.1007/978-3-319-98204-5_14
  13. Ribeiro, Bernardete. "Using GP Is NEAT: Evolving compositional pattern production functions". 2018.
    10.1007/978-3-319-77553-1_1
  14. Leitao, J.; Gil, P.; Ribeiro, B.; Cardoso, A.. "Application of bees algorithm to reduce household's energy costs via load deferment". 2018.
    10.1109/ICITEED.2018.8534847
  15. Leitão, J.; Gil, P.; Ribeiro, B.; Cardoso, A.. "Improving household's efficiency via scheduling of water and energy appliances". 2018.
    10.1109/CONTROLO.2018.8514291
  16. Sharma, R.; Ribeiro, B.; Pinto, A.M.; Cardoso, F.A.. "Modeling abstract concepts for internet of everything: A cognitive artificial system". 2018.
    10.1109/CONTROLO.2018.8514540
  17. Lopes, N.; Ribeiro, B.. "Novel trends in scaling up machine learning algorithms". 2017.
    10.1109/ICMLA.2017.00-90
  18. Silva, J.; Ribeiro, B.; Sung, A.H.. "Finding the critical sampling of big datasets". 2017.
    10.1145/3075564.3078886
  19. Phong, N.H.; Ribeiro, B.. "Offline and online deep learning for image recognition". 2017.
    10.1109/EXPAT.2017.7984421
  20. Assuncao, F.; Lourenco, N.; Machado, P.; Ribeiro, B.. "Automatic generation of neural networks with structured Grammatical Evolution". 2017.
    10.1109/CEC.2017.7969488
  21. Ribeiro, Bernardete. "Attribute Learning for Network Intrusion Detection". 2016.
  22. Ribeiro, Bernardete. "Multiclass Ensemble of One-Against-All SVM Classifiers". 2016.
    10.1007/978-3-319-40663-3_61
  23. Ribeiro, Bernardete. "Mahalanobis Distance Metric Learning Algorithm for Instance-based Data Stream Classification". 2016.
  24. Ribeiro, Bernardete. "Choice of Best Samples for Building Ensembles in Dynamic Environments". 2016.
    10.1007/978-3-319-44188-7_3
  25. Ribeiro, Bernardete. "Visualization of Individual Ensemble Classifier Contributions". 2016.
    10.1007/978-3-319-40581-0_51
  26. Sung, A.H.; Ribeiro, B.; Liu, Q.. "Sampling and evaluating the big data for knowledge discovery". 2016.
  27. Oliveira, G.; Frazão, X.; Pimentel, A.; Ribeiro, B.. "Automatic graphic logo detection via Fast Region-based Convolutional Networks". 2016.
    10.1109/IJCNN.2016.7727305
  28. Perez, J.L.R.; Ribeiro, B.; Perez, C.M.. "Mahalanobis distance metric learning algorithm for instance-based data stream classification". 2016.
    10.1109/IJCNN.2016.7727425
  29. Lopes, Noel; Ribeiro, Bernardete. "GPUMLib Framework: Using the GPU to Empower Machine Learning Research". 2015.
  30. Costa, N.; Ribeiro, B.. "A neural prediction model for monitoring and fault diagnosis of a plastic injection moulding process". 2015.
  31. Costa, J.; Silva, C.; Antunes, M.; Ribeiro, B.. "The impact of longstanding messages in micro-blogging classification". 2015.
    10.1109/IJCNN.2015.7280731
  32. Ribeiro, B.; Chen, N.; Kovacec, A.. "A structural pattern mining approach for credit risk assessment". 2015.
    10.1007/978-3-319-19644-2_7
  33. Ribeiro, B.; Lopes, N.; Silva, C.. "Learning the hash code with generalised regression neural networks for handwritten signature biometric data retrieval". 2015.
    10.1109/IJCNN.2015.7280707
  34. Silva, C.; Antunes, M.; Costa, J.; Ribeiro, B.. "Active manifold learning with Twitter big data". 2015.
    10.1016/j.procs.2015.07.296
  35. Ribeiro, B.M.; Sung, A.H.; Suryakumar, D.; Basnet, R.. "The critical feature dimension and critical sampling problems". 2015.
  36. Liu, Q.; Ribeiro, B.; Sung, A.H.; Suryakumar, D.. "Mining the big data: The critical feature dimension problem". 2014.
    10.1109/IIAI-AAI.2014.105
  37. Costa, J.; Silva, C.; Antunes, M.; Ribeiro, B.; Cósta,Joana; Silva,Catarina; Mário João Antunes; Ribeiro,Bernardete. "Concept drift awareness in twitter streams". 2014.
    10.1109/ICMLA.2014.53
  38. Figueiredo, M.; Ribeiro, B.; De Almeida, A.M.. "Exploring the performance of non-negative multi-way factorization for household electrical seasonal consumption disaggregation". 2014.
    10.1109/IJCNN.2014.6889809
  39. Rodrigues, F.; Pereira, F.C.; Ribeiro, B.. "Gaussian process classification and active learning with multiple annotators". 2014.
  40. Ribeiro, B.; Lopes, N.; Goncalves, J.. "Signature identification via efficient feature selection and GPU-based SVM classifier". 2014.
    10.1109/IJCNN.2014.6889822
  41. Freiria, S.; Tavares, A.O.; Ribeiro, B.. "Road infrastructures for risk management: From regional to local dynamics". 2014.
  42. Geadas, P.; Alves, A.; Ribeiro, B.. "Ensemble learning for keyword extraction from event descriptions". 2014.
    10.1109/IJCNN.2014.6889911
  43. Direito, B.; Teixeira, C.A.D.; Ribeiro, B.; Dourado, A.; Santos, M.P.; Loureiro, M.C.. "Spatial dynamics of the Topographic representation of electroencephalogram spectral features during general anesthesia". 2014.
    10.1007/978-3-319-00846-2_128
  44. Costa, J.; Silva, C.; Ribeiro, B.; Antunes, M.. "Crowdtargeting: Making crowds more personal". 2013.
    10.1109/SMAP.2013.20
  45. Figueiredo, M.; Ribeiro, B.; Ana Maria de Almeida. "Forecasting the Usage of Home Appliances with Denoised Signal Patterns". 2013.
  46. Lopes, N.; Ribeiro, B.; Gonçalves, J.. "Restricted Boltzmann Machines and Deep Belief Networks on multi-core processors". 2012.
    10.1109/IJCNN.2012.6252431
  47. Direito, B.; Teixeira, C.; Ribeiro, B.; Castelo-Branco, M.; Dourado, A.. "Space time frequency (STF) code tensor for the characterization of the epileptic preictal stage". 2012.
    10.1109/EMBC.2012.6346008
  48. Figueiredo, M.; Ana Maria de Almeida; Ribeiro, B.. "Impact of Temporal Window-size on Pattern Denoising of a Smart Home Electrical Signal". 2011.
  49. Qiao, M.; Sung, A.H.; Liu, Q.; Ribeiro, B.M.. "Locating information-hiding in MP3 audio". 2011.
  50. Noel Lopes; Ribeiro, B.. "Incremental Learning for Non-Stationary Patterns". 2011.
  51. Lopes, N.; Ribeiro, B.. "A fast optimized semi-supervised non-negative Matrix Factorization algorithm". 2011.
    10.1109/IJCNN.2011.6033543
  52. Ribeiro, B.; Chen, N.. "Graph weighted subspace learning models in bankruptcy". 2011.
    10.1109/IJCNN.2011.6033479
  53. Costa, J.; Silva, C.; Antunes, M.; Ribeiro, B.. "On using crowdsourcing and active learning to improve classification performance". 2011.
    10.1109/ISDA.2011.6121700
  54. Figueiredo, M.B.; De Almeida, A.; Ribeiro, B.. "Smart home: A novel model for denoising an electrical signal". 2011.
    10.1109/ISDA.2011.6121752
  55. Figueiredo, M.B.; De Almeida, A.; Ribeiro, B.. "Wavelet decomposition and singular spectrum analysis for electrical signal denoising". 2011.
    10.1109/ICSMC.2011.6084183
  56. Gaspar-Cunha, A.; Mendes, F.; Duarte, J.; Vieira, Armando; Ribeiro, Bernardete; Ribeiro, André M. S.; Neves, João Carvalho. "Multi-objective evolutionary algorithms for feature selection : application in bankruptcy prediction". 2010.
    10.1007/978-3-642-17298-4_33
  57. Ribeiro, Bernardete; Silva, C.; Vieira, Armando; Gaspar-Cunha, A.; Neves, João. "Financial distress model prediction using SVM +". 2010.
    10.1109/IJCNN.2010.5596729
  58. Lopes, N.; Ribeiro, B.. "Stochastic GPU-based multithread implementation of multiple back-propagation". 2010.
  59. Lopes, N.; Ribeiro, B.. "A strategy for dealing with missing values by using selective activation neurons in a multi-topology framework". 2010.
    10.1109/IJCNN.2010.5596750
  60. Lopes, N.; Ribeiro, B.; Quintas, R.. "GPUMLib: A new library to combine Machine Learning algorithms with Graphics Processing Units". 2010.
    10.1109/HIS.2010.5600028
  61. Ribeiro, B.; Lopes, N.; Silva, C.. "High-performance bankruptcy prediction model using Graphics Processing Units". 2010.
    10.1109/IJCNN.2010.5596711
  62. Chen, N.; Ribeiro, B.; Vieira, A.S.; Duarte, J.; Neves, J.C.. "Hybrid genetic algorithm and learning vector quantization modeling for cost-sensitive bankruptcy prediction". 2010.
    10.1109/ICMLC.2010.29
  63. Silva, C.; Ribeiro, B.; Lopes, N.. "Improving recall values in breast cancer diagnosis with incremental background knowledge". 2010.
    10.1109/IJCNN.2010.5596641
  64. Noel Lopes; Ribeiro, B.. "MBPGPU: A Supervised Pattern Classifier for Graphical Processing Units". 2009.
  65. Liu, Q.; Sung, A.H.; Qiao, M.; Ribeiro, B.M.. "Using expanded Markov process and joint distribution features for JPEG steganalysis". 2009.
  66. Silva, C.; Ribeiro, B.; Lotric, U.; Dobnikar, A.. "Distributed ensemble learning in text classification". 2008.
  67. Ferreira, R.; Ribeiro, B.; Silva, C.; Liu, Q.; Sung, A.H.. "Building resilient classifiers for LSB matching steganography". 2008.
    10.1109/IJCNN.2008.4634004
  68. Ribeiro, B.; Cardoso, A.. "Evaluation system for e-learning with pattern mining tools". 2008.
    10.1109/ICSMC.2008.4811763
  69. Ribeiro, B.R.; Henirques, J.H.; Marques, A.M.; Antunes, M.A.. "Manifold learning for premature ventricular contraction detection". 2008.
    10.1109/CIC.2008.4749192
  70. Silva, C.; Ribeiro, B.. "Selecting examples in manifold reduced feature space for active learning". 2008.
    10.1109/ICMLA.2008.86
  71. Liu, Q.; Sung, A.H.; Ribeiro, B.M.; Ferreira, R.. "Steganalysis of multi-class JPEG images based on expanded Markov features and polynomial fitting". 2008.
    10.1109/IJCNN.2008.4634274
  72. Brito, M.; Henriques, J.; Carvalho, P.; Ribeiro, B.; Antunes, M.. "An ECG compression approach based on a segment dictionary and bezier approximations". 2007.
  73. Silva, C.; Ribeiro, B.. "Combining active learning and relevance vector machines for text classification". 2007.
    10.1109/ICMLA.2007.30
  74. Brito, M.; Henriques, J.; Carvalho, P.; Ribeiro, B.; Antunes, M.. "ECG Compression through segment matching and progressive error encoding". 2007.
    10.1109/IEMBS.2007.4352241
  75. Ribeiro, B.R.; Marques, A.M.; Henriques, J.H.; Antunes, Ma.. "Premature ventricular beat detection by using spectral clustering methods". 2007.
    10.1109/CIC.2007.4745443
  76. Ferreira, J.P.; Crisóstomo, M.; Coimbra, A.P.; Ribeiro, B.. "Simulation control of a biped robot with Support Vector Regression". 2007.
    10.1109/WISP.2007.4447538
  77. Henriques, J.; Carvalho, P.; Gil, P.; Marques, A.; Rocha, T.; Ribeiro, B.; Antunes, M.; Schmidt, R.; Habetha, J.. "Ventricular arrhythmias assessment". 2007.
    10.1109/IEMBS.2007.4353173
  78. Liu, Q.; Sung, A.H.; Ribeiro, B.M.. "Comparison of gene selection and machine learning for tumor classification". 2006.
  79. Ribeiro, B.; Vieira, A.; Das Neves, J.C.. "Sparse Bayesian models: Bankruptcy-predictors of choice?". 2006.
  80. Liu, Q.; Sung, A.H.; Xu, J.; Ribeiro, B.M.. "Image complexity and feature extraction for steganalysis of LSB matching steganography". 2006.
    10.1109/ICPR.2006.684
  81. Silva, C.; Ribeiro, B.. "Two-level hierarchical hybrid SVM-RVM classification model". 2006.
    10.1109/ICMLA.2006.52
  82. Silva, C.; Ribeiro, B.. "Scaling text classification with relevance vector machines". 2006.
    10.1109/ICSMC.2006.384791
  83. Ribeiro, B.. "Selective Classification and Regression Models Based on Support Vector Clustering". 2005.
  84. Silva, C.; Ribeiro, B.. "Margin-based active learning and background knowledge in text mining". 2005.
  85. Silva, C.; Ribeiro, B.; Lotric, U.. "Speeding-up text categorization in a GRID computing environment". 2005.
    10.1109/ICMLA.2005.60
  86. Vieira, A.S.; Ribeiro, B.; Mukkamala, S.; Neves, J.C.; Sung, A.H.. "On the performance of learning machines for bankruptcy detection". 2004.
  87. Silva, C.; Ribeiro, B.. "Labeled and unlabeled data in text categorization". 2004.
    10.1109/IJCNN.2004.1381138
  88. Silva, C.; Ribeiro, B.. "The Importance of Stop Word Removal on Recall Values in Text Categorization". 2003.
  89. Ribeiro, B.. "Kernelized based functions with Minkovsky's norm for SVM regression". 2002.
  90. Carvalho, P.; Santos, A.; Dourado, A.; Ribeiro, B.. "Bayes information criterion for Tikhonov regularization with linear constraints: Application to spectral data estimation". 2002.
  91. Carvalho, P.; Santos, A.; Dourado, A.; Ribeiro, B.. "Radiometric image correction with automatic model selection". 2002.
  92. Ribeiro, B.. "On data based learning using support vector clustering". 2002.
    10.1109/ICONIP.2002.1201948
  93. Lopes, N.; Ribeiro, B.. "Hybrid learning in a multi neural network architecture". 2001.
  94. Carvalho, P.; Santos, A.; Dourado, A.; Ribeiro, B.. "Learning spectral calibration parameters for color inspection". 2001.
  95. Carvalho, P.; Santos, A.; Dourado, A.; Ribeiro, B.. "On the estimation of spectral data: A genetic algorithm approach". 2001.
  96. Silva, Catarina; Crisostomo, Manuel; Ribeiro, Bernardete. "MONODA: A neural modular architecture for obstacle avoidance without knowledge of the environment". 2000.
  97. Dimirovski, G.M.; Dourado, A.; Gough, N.E.; Ribeiro, B.; Stankovski, M.J.; Ting, I.H.; Tulunay, E.. "On learning control in industrial furnaces and boilers". 2000.
  98. Ribeiro, B.. "Fault detection in a thermoplastic injection molding process using neural networks". 1999.
  99. Costa, N.; Ribeiro, B.. "Artificial neural networks for data modelling of a plastic injection moulding process". 1999.
    10.1109/ICONIP.1999.844686
  100. Ribeiro, B.. "Prediction of the lime availability on an industrial kiln by neural networks". 1998.
  101. Ribeiro, B.; Dourado, A.; Costa, E.. "Neural network based control of a simulated industrial lime kiln". 1993.
Artigo em revista
  1. Daniel Azevedo; Bernardete Ribeiro; Alberto Cardoso. "Prediction of the Remaining Useful Life of Aircraft Systems via Web Interface". International Journal of Online and Biomedical Engineering (iJOE) (2020): https://doi.org/10.3991/ijoe.v16i04.11873.
    10.3991/ijoe.v16i04.11873
  2. Joaquim Leitao; Paulo Gil; Bernardete Ribeiro; Alberto Cardoso. "A Survey on Home Energy Management". IEEE Access 8 (2020): 5699-5722. https://doi.org/10.1109/ACCESS.2019.2963502.
    10.1109/ACCESS.2019.2963502
  3. Antunes, F.; Amorim, M.; Pereira, F.C.; Ribeiro, B.. "Active learning metamodeling for policy analysis: Application to an emergency medical service simulator". Simulation Modelling Practice and Theory 97 (2019): http://www.scopus.com/inward/record.url?eid=2-s2.0-85069619066&partnerID=MN8TOARS.
    10.1016/j.simpat.2019.101947
  4. Chen, N.; Ribeiro, B.; Chen, A.; Tang, C.. "Optimization of selective ensemble for cost-sensitive classification: An empirical study". Intelligent Decision Technologies 12 4 (2019): 399-410. http://www.scopus.com/inward/record.url?eid=2-s2.0-85060061454&partnerID=MN8TOARS.
    10.3233/IDT-180344
  5. Chen, N.; Ribeiro, B.; Tang, C.; Chen, A.. "Multi-label learning vector quantization for semi-supervised classification". Intelligent Data Analysis 23 4 (2019): 839-853. http://www.scopus.com/inward/record.url?eid=2-s2.0-85073115457&partnerID=MN8TOARS.
    10.3233/IDA-184195
  6. Costa, J.; Silva, C.; Antunes, M.; Ribeiro, B.. "Boosting dynamic ensemble’s performance in Twitter". Neural Computing and Applications (2019): http://www.scopus.com/inward/record.url?eid=2-s2.0-85074859680&partnerID=MN8TOARS.
    10.1007/s00521-019-04599-7
  7. Leitão, J.; Simões, N.; Marques, J.A.S.; Gil, P.; Ribeiro, B.; Cardoso, A.. "Detecting urban water consumption patterns: A time-series clustering approach". Water Science and Technology: Water Supply 19 8 (2019): 2323-2329. http://www.scopus.com/inward/record.url?eid=2-s2.0-85076586856&partnerID=MN8TOARS.
    10.2166/ws.2019.113
  8. Dib, M.A.; Oliveira, N.J.; Marques, A.E.; Oliveira, M.C.; Fernandes, J.V.; Ribeiro, B.M.; Prates, P.A.. "Single and ensemble classifiers for defect prediction in sheet metal forming under variability". Neural Computing and Applications (2019): http://www.scopus.com/inward/record.url?eid=2-s2.0-85077032631&partnerID=MN8TOARS.
    10.1007/s00521-019-04651-6
  9. Melo, Bernardete F.; Sacramento, Joana F.; Ribeiro, Maria J.; Prego, Claudia S.; Correia, Miguel C.; Coelho, Joana C.; Cunha-Guimaraes, Joao P.; et al. "Evaluating the Impact of Different Hypercaloric Diets on Weight Gain, Insulin Resistance, Glucose Intolerance, and its Comorbidities in Rats". (2019): http://www.scopus.com/inward/record.url?scp=85067310280&partnerID=8YFLogxK.
    https://doi.org/10.3390/nu11061197
  10. Bezzeghoud, Mourad; Araujo, Alexandre; Gomes, Carlos Pinto; Carapau, Fernando; Santos, Maria Hortense. "Considerations for a cloud-based system for IoT data acquisition from heterogeneous sensors". (2019): https://siiue.uevora.pt/files/anexo_informacao/284095.
  11. Silva, Jorge; Lucas, Pedro; Araujo, Filipe; Silva, Catarina; Gil, Paulo; Cardoso, Alberto; Arrais, Joel; et al. "An Online Platform For Real-Time Air Quality Monitoring". (2019): https://ieeexplore.ieee.org/document/8876486/authors#authors.
  12. Silva, Jorge; Lucas, Pedro; Filipe, Araujo; Catarina, Silva; Gil, Paulo; Cardoso, Alberto; Arrais, Joel; et al. "A Hybrid Application For Real-Time Air Quality Monitoring". (2019): https://ieeexplore.ieee.org/document/8876498.
  13. Ribeiro, Bernardete. "DENSER: deep evolutionary network structured representation". (2018):
    10.1007/s10710-018-9339-y
  14. Francisco Antunes; Bernardete Ribeiro; Francisco C. Pereira; Rui Gomes. "Efficient Transport Simulation With Restricted Batch-Mode Active Learning". IEEE Transactions on Intelligent Transportation Systems 19 11 (2018): 3642-3651. https://doi.org/10.1109/TITS.2018.2842695.
    10.1109/TITS.2018.2842695
  15. Lopes, Noel; Ribeiro, Bernardete. "Novel Trends in Scaling Up Machine Learning Algorithms". (2018): http://hdl.handle.net/10314/4183.
  16. Ribeiro, Bernardete Martins; Chen, Ning. "Financial credit risk assessment via learning-based hashing". (2017): http://hdl.handle.net/10316/87225.
  17. Ribeiro, Bernardete; Chen, Ning; Kovacec, Alexander. "Shaping graph pattern mining for financial risk". (2017): http://hdl.handle.net/10316/44244.
    10.1016/j.neucom.2017.01.119
  18. Costa, Joana; Silva, Catarina; Antunes, Mário; Ribeiro, Bernardete; Costa, J.; Silva, C.; Antunes, M.; Ribeiro, B.. "Adaptive learning for dynamic environments: A comparative approach". Engineering Applications of Artificial Intelligence 65 (2017): 336-345. http://hdl.handle.net/10316/44320.
    10.1016/j.engappai.2017.08.004
  19. Rodrigues, Filipe; Lourenco, Mariana; Ribeiro, Bernardete; Pereira, Francisco. "Learning Supervised Topic Models for Classification and Regression from Crowds". (2017): http://hdl.handle.net/10316/44319.
    10.1109/TPAMI.2017.2648786
  20. Antunes, Francisco; Ribeiro, Bernardete; Pereira, Francisco. "Probabilistic modeling and visualization for bankruptcy prediction". (2017): http://hdl.handle.net/10316/44340.
    10.1016/j.asoc.2017.06.043
  21. Ribeiro, Bernardete. "Financial Credit Risk Assessment via Learning-based Hashing". Intelligent Decision Technologies, IOS Press (2017): http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000406133700004&KeyUID=WOS:000406133700004.
    10.3233/IDT-170286
  22. Ribeiro, Bernardete; B Ribeiro. "Convex Hull Calculations: a Matlab Implementation and Correctness Proofs for the lrs-algorithm”,". arXiv preprint:1604.06112v1 (2016):
  23. Chen, Ning; Ribeiro, Bernardete; Chen, An. "Financial credit risk assessment: a recent review". (2016): http://hdl.handle.net/10400.22/10218.
    10.1007/s10462-015-9434-x
  24. AghaeiRad, Ali; Chen, Ning; Ribeiro, Bernardete. "Improve credit scoring using transfer of learned knowledge from self-organizing map". (2016): http://hdl.handle.net/10316/44341.
    10.1007/s00521-016-2567-2
  25. Chen, Ning; Ribeiro, Bernardete; Chen, An. "Financial credit risk assessment: a recent review". (2016): http://hdl.handle.net/10400.22/10218.
    10.1007/s10462-015-9434-x
  26. B Ribeiro. "Towards Tangible Benefits of Corporate Failure Prediction with Business Sector: A Comparative Study". International Journal of Intelligent Technologies, IOS Press (2016):
    10.3233/IDT-160269
  27. B Ribeiro. "Importance Weighted Import Vector Machine for Unsupervised Domain Adaptation". IEEE Transactions on Cybernetics, December 2016 (2016): http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000409311800027&KeyUID=WOS:000409311800027.
    10.1109/TCYB.2016.2616119
  28. B Ribeiro. "A Bayesian additive model for understanding public transport usage in special events". IEEE Transactions on Pattern Analysis and Machine Intelligence (2016): http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000412028600001&KeyUID=WOS:000412028600001.
    10.1109/TPAMI.2016.2635136
  29. B Ribeiro. "Consensus-based Approach for Keyword Extraction from Urban Events Collections". Advances in Distributed Computing and Artificial Intelligence Journal (2016): http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000422599900003&KeyUID=WOS:000422599900003.
    10.14201/ADCAIJ2015424160
  30. B Ribeiro. "RtpExtSteg: A Practical VoIP Network Steganography Exploiting RTP Extension Header". IEEE COM SOC MMTC E-Letter (2016):
  31. Sung, Andrew H.; Ribeiro, Bernardete; Liu, Qingzhong; Ramachandran, M; Wills, G; Walters, R; Munoz, VM; Chang, V. "Sampling and Evaluating the Big Data for Knowledge Discovery". Iotbd: Proceedings of the International Conference on Internet of Things and Big Data (2016): 378-382. http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000391100400042&KeyUID=WOS:000391100400042.
    10.5220/0005932703780382
  32. Lopes, Noel; Ribeiro, Bernardete. "On the Impact of Distance Metrics in Instance-Based Learning Algorithms". (2015): http://hdl.handle.net/10314/3247.
    Acesso aberto • 10.1007/978-3-319-19390-8 6
  33. Ribeiro, B.; Chen, N.. "Aggregated local models via subspace clustering". Intelligent Decision Technologies 9 2 (2015): 153-165. http://www.scopus.com/inward/record.url?eid=2-s2.0-84928163061&partnerID=MN8TOARS.
    10.3233/IDT-140213
  34. Freiria, S.; Ribeiro, B.; Tavares, A.O.. "Understanding road network dynamics: Link-based topological patterns". Journal of Transport Geography 46 (2015): 55-66. http://www.scopus.com/inward/record.url?eid=2-s2.0-84929493787&partnerID=MN8TOARS.
    10.1016/j.jtrangeo.2015.05.002
  35. Ribeiro, Bernardete; Chen, Ning. "Dimensionality Reduction Using Graph Weighted Subspace Learning for Bankruptcy Prediction". Real World Data Mining Applications, Annals of Information Systems, Springer (2015): 155-178. http://link.springer.com/chapter/10.1007%2F978-3-319-07812-0_9#.
    10.1007/978-3-319-07812-0_9
  36. Figueiredo, M.; Ribeiro, B.; de Almeida, A.. "Analysis of trends in seasonal electrical energy consumption via non-negative tensor factorization". Neurocomputing 170 (2015): 318-327. http://www.scopus.com/inward/record.url?eid=2-s2.0-84940615084&partnerID=MN8TOARS.
    10.1016/j.neucom.2015.03.088
  37. Chen, N.; Ribeiro, B.; Chen, A.. "Comparative study of classifier ensembles for cost-sensitive credit risk assessment". Intelligent Data Analysis 19 1 (2014): 127-144. http://www.scopus.com/inward/record.url?eid=2-s2.0-84919487150&partnerID=MN8TOARS.
    10.3233/IDA-140700
  38. Figueiredo, M.; Ribeiro, B.; De Almeida, A.. "Electrical signal source separation via nonnegative tensor factorization using on site measurements in a smart home". IEEE Transactions on Instrumentation and Measurement 63 2 (2014): 364-373. http://www.scopus.com/inward/record.url?eid=2-s2.0-84892444173&partnerID=MN8TOARS.
    10.1109/TIM.2013.2278596
  39. Rodrigues, F.; Pereira, F.; Ribeiro, B.. "Sequence labeling with multiple annotators". Machine Learning 95 2 (2014): 165-181. http://www.scopus.com/inward/record.url?eid=2-s2.0-84898827632&partnerID=MN8TOARS.
    10.1007/s10994-013-5411-2
  40. Lopes, N.; Ribeiro, B.. "Towards adaptive learning with improved convergence of deep belief networks on graphics processing units". Pattern Recognition 47 1 (2014): 114-127. http://www.scopus.com/inward/record.url?eid=2-s2.0-84885018698&partnerID=MN8TOARS.
    10.1016/j.patcog.2013.06.029
  41. Costa, Joana; Silva, Catarina; Antunes, Mário; Ribeiro, Bernardete. "Customized crowds and active learning to improve classification". (2013): http://hdl.handle.net/10316/27286.
    Acesso aberto • 10.1016/j.eswa.2013.06.072
  42. Salgado,João Victor; França,Ana Karina; Cabral,Nayra Anielly; Lages,Joyce; Ribeiro,Valdinar Sousa; Santos,Alcione Miranda; Salgado,Bernardete Jorge. "Cystatin C, kidney function, and cardiovascular risk factors in primary hypertension". (2013): http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-42302013000100007.
  43. Rodrigues, Filipe; Pereira, Francisco; Ribeiro, Bernardete. "Learning from multiple annotators: distinguishing good from random labelers". (2013): http://hdl.handle.net/10316/27407.
    10.1016/j.patrec.2013.05.012
  44. Chen, N.; Ribeiro, B.; Vieira, A.; Chen, A.. "Clustering and visualization of bankruptcy trajectory using self-organizing map". Expert Systems with Applications 40 1 (2013): 385-393. http://www.scopus.com/inward/record.url?eid=2-s2.0-84866105753&partnerID=MN8TOARS.
    10.1016/j.eswa.2012.07.047
  45. Ludwig, O.; Nunes, U.; Ribeiro, B.; Premebida, C.. "Improving the generalization capacity of cascade classifiers". IEEE Transactions on Cybernetics 43 6 (2013): 2135-2146. http://www.scopus.com/inward/record.url?eid=2-s2.0-84890033370&partnerID=MN8TOARS.
    10.1109/TCYB.2013.2240678
  46. Chen, N.; Chen, A.; Ribeiro, B.. "Influence of class distribution on cost-sensitive learning: A case study of bankruptcy analysis". Intelligent Data Analysis 17 3 (2013): 423-437. http://www.scopus.com/inward/record.url?eid=2-s2.0-84878931832&partnerID=MN8TOARS.
    10.3233/IDA-130587
  47. Borges, R.P.; Ribeiro, B.; Cruz, M.M.; Godinho, M.; Wahl, U.; Da Silva, R.C.; Gonçalves, A.P.; Magén, C.. "Nanoparticles of Ni in ZnO single crystal matrix". European Physical Journal B 86 6 (2013): http://www.scopus.com/inward/record.url?eid=2-s2.0-84898878689&partnerID=MN8TOARS.
    10.1140/epjb/e2013-40008-5
  48. Lopes, N.; Ribeiro, B.. "Handling missing values via a neural selective input model". Neural Network World 22 4 (2012): 357-370. http://www.scopus.com/inward/record.url?eid=2-s2.0-84866706529&partnerID=MN8TOARS.
  49. Direito, B.; Teixeira, C.; Ribeiro, B.; Castelo-Branco, M.; Dourado, A.. "Space time frequency (STF) code tensor for the characterization of the epileptic preictal stage.". Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference 2012 (2012): 621-624. http://www.scopus.com/inward/record.url?eid=2-s2.0-84883576712&partnerID=MN8TOARS.
  50. Ribeiro, B.; Silva, C.; Chen, N.; Vieira, A.; Carvalho Das Neves, J.. "Enhanced default risk models with SVM+". Expert Systems with Applications 39 11 (2012): 10140-10152. http://www.scopus.com/inward/record.url?eid=2-s2.0-84859430284&partnerID=MN8TOARS.
    10.1016/j.eswa.2012.02.142
  51. Figueiredo, M.; de Almeida, A.; Ribeiro, B.. "Home electrical signal disaggregation for non-intrusive load monitoring (NILM) systems". Neurocomputing 96 (2012): 66-73. http://www.scopus.com/inward/record.url?eid=2-s2.0-84864391557&partnerID=MN8TOARS.
    10.1016/j.neucom.2011.10.037
  52. Direito, B.; Teixeira, C.; Ribeiro, B.; Castelo-Branco, M.; Sales, F.; Dourado, A.. "Modeling epileptic brain states using EEG spectral analysis and topographic mapping". Journal of Neuroscience Methods 210 2 (2012): 220-229. http://www.scopus.com/inward/record.url?eid=2-s2.0-84865315355&partnerID=MN8TOARS.
    10.1016/j.jneumeth.2012.07.006
  53. Lopes, N.; Ribeiro, B.. "Towards a hybrid NMF-based neural approach for face recognition on GPUs". International Journal of Data Mining, Modelling and Management 4 2 (2012): 138-155. http://www.scopus.com/inward/record.url?eid=2-s2.0-84870263543&partnerID=MN8TOARS.
    10.1504/IJDMMM.2012.046807
  54. Chen, Ning; Ribeiro, Bernardete; Chen, An. "Using Non-negative Matrix Factorization for Bankruptcy Analysis". (2011): http://www.dcc.ufla.br/infocomp/index.php/INFOCOMP/article/view/342.
  55. Chen, N.; Ribeiro, B.; Vieira, A.S.; Duarte, J.; Neves, J.C.. "A genetic algorithm-based approach to cost-sensitive bankruptcy prediction". Expert Systems with Applications 38 10 (2011): 12939-12945. http://www.scopus.com/inward/record.url?eid=2-s2.0-79957982142&partnerID=MN8TOARS.
    10.1016/j.eswa.2011.04.090
  56. Chen, N.; Vieira, A.; Ribeiro, B.; Duarte, J.; Neves, J.. "A stable credit rating model based on learning vector quantization". Intelligent Data Analysis 15 2 (2011): 237-250. http://www.scopus.com/inward/record.url?eid=2-s2.0-79953297716&partnerID=MN8TOARS.
    10.3233/IDA-2010-0465
  57. Lopes, N.; Ribeiro, B.. "An evaluation of multiple feed-forward networks on GPUs". International Journal of Neural Systems 21 1 (2011): 31-47. http://www.scopus.com/inward/record.url?eid=2-s2.0-78751474732&partnerID=MN8TOARS.
    10.1142/S0129065711002638
  58. Mendes, F.; Duarte, J.; Vieira, Armando; Ribeiro, Bernardete; Ribeiro, André M. S.; Neves, João Carvalho; Gaspar-Cunha, A.. "Feature selection for bankruptcy prediction : a multi-objective optimization approach". (2010): http://hdl.handle.net/1822/13218.
    10.4018/978-1-4666-1574-8.ch009
  59. Liu, Q.; Sung, A.H.; Qiao, M.; Chen, Z.; Ribeiro, B.. "An improved approach to steganalysis of JPEG images". Information Sciences 180 9 (2010): 1643-1655. http://www.scopus.com/inward/record.url?eid=2-s2.0-76349121292&partnerID=MN8TOARS.
    10.1016/j.ins.2010.01.001
  60. Silva, C.; Lotric, U.; Ribeiro, B.; Dobnikar, A.. "Distributed text classification with an ensemble kernel-based learning approach". IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews 40 3 (2010): 287-297. http://www.scopus.com/inward/record.url?eid=2-s2.0-77951205647&partnerID=MN8TOARS.
    10.1109/TSMCC.2009.2038280
  61. Beliczynski, B.; Ribeiro, B.. "Some enhancements to approximation of one-variable functions by orthonormal basis". Neural Network World 19 5 (2009): 401-412. http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000271688500002&KeyUID=WOS:000271688500002.
  62. Ferreira, J.P.; Crisostomo, M.M.; Coimbra, A.P.; Ribeiro, B.. "Control of a biped robot with support vector regression in sagittal plane". IEEE Transactions on Instrumentation and Measurement 58 9 (2009): 3167-3176. http://www.scopus.com/inward/record.url?eid=2-s2.0-69249215240&partnerID=MN8TOARS.
    10.1109/TIM.2009.2017148
  63. Liu, Q.; Sung, A.H.; Ribeiro, B.; Wei, M.; Chen, Z.; Xu, J.; Liu, Qingzhong; et al. "Image complexity and feature mining for steganalysis of least significant bit matching steganography". Information Sciences 178 1 (2008): 21-36. http://www.scopus.com/inward/record.url?eid=2-s2.0-34948833733&partnerID=MN8TOARS.
    10.1016/j.ins.2007.08.007
  64. Silva, C.; Ribeiro, B.. "Towards expanding relevance vector machines to large scale datasets". International Journal of Neural Systems 18 1 (2008): 45-58. http://www.scopus.com/inward/record.url?eid=2-s2.0-43949132994&partnerID=MN8TOARS.
    10.1142/S0129065708001361
  65. Silva, Catarina; Ribeiro, Bernardete. "On Text-based Mining with Active Learning and Background Knowledge Using SVM". (2007): http://hdl.handle.net/10316/7640.
    Acesso aberto
  66. Henriques, J.; Carvalho, P.; Gil, P.; Marques, A.; Rocha, T.; Ribeiro, B.; Antunes, M.; Schmidt, R.; Habetha, J.. "Ventricular arrhythmias assessment.". Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference (2007): 3852-3855. http://www.scopus.com/inward/record.url?eid=2-s2.0-84903858989&partnerID=MN8TOARS.
  67. Ribeiro, B.; Marques, A.; Henriques, J.; Antunes, M.. "Choosing real-time predictors for ventricular arrhythmia detection". International Journal of Pattern Recognition and Artificial Intelligence 21 8 (2007): 1249-1263. http://www.scopus.com/inward/record.url?eid=2-s2.0-38149117946&partnerID=MN8TOARS.
    10.1142/S0218001407005934
  68. Silva, C.; Ribeiro, B.. "On text-based mining with active learning and background knowledge using SVM". Soft Computing 11 6 (2007): 519-530. http://www.scopus.com/inward/record.url?eid=2-s2.0-33846439346&partnerID=MN8TOARS.
    10.1007/s00500-006-0080-8
  69. Silva, C.; Ribeiro, B.. "Rare class text categorization with SVM ensemble". Przeglad Elektrotechniczny 82 1 (2006): 28-31. http://www.scopus.com/inward/record.url?eid=2-s2.0-32044469209&partnerID=MN8TOARS.
  70. Beliczynski, B.; Ribeiro, B.. "Tuning parameters of the simple forecasting models". Przeglad Elektrotechniczny 82 12 (2006): 1-4. http://www.scopus.com/inward/record.url?eid=2-s2.0-33846006945&partnerID=MN8TOARS.
  71. Ribeiro, Bernardete; Ribeiro, B.. "Support vector machines for quality monitoring in a plastic injection molding process". IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews 35 3 (2005): 401-410. http://hdl.handle.net/10316/12915.
    10.1109/TSMCC.2004.843228
  72. Ribeiro, B.. "On the evaluation of Minkovsky kernel for SVMs". Neural, Parallel and Scientific Computations 13 1 (2005): 77-90. http://www.scopus.com/inward/record.url?eid=2-s2.0-25844460019&partnerID=MN8TOARS.
  73. Ribeiro, B.. "Selective classification and regression models based on support vector clustering". Neural, Parallel and Scientific Computations 13 3-4 (2005): 327-336. http://www.scopus.com/inward/record.url?eid=2-s2.0-31344464835&partnerID=MN8TOARS.
  74. Ribeiro, B.. "Computational Intelligence in Manufacturing Quality Control". Prezeglad Elektrotechiniczny (Electrotecnical Review Journal) 80 4 (2004): 286-290.
  75. Noel Lopes; Ribeiro, B.. "An efficient Gradient-Based Learning Algorithm Applied to Neural Networks with Selective Actuation Neurons". Neural, Parallel and Scientific Computations 11 n/a (2003): 253-272.
  76. Silva, C.; Ribeiro, B.. "Navigating mobile robots with a modular neural architecture". Neural Computing and Applications 12 3-4 (2003): 200-211. http://www.scopus.com/inward/record.url?eid=2-s2.0-0346342559&partnerID=MN8TOARS.
    10.1007/s00521-003-0383-y
  77. Araújo, F.; Ribeiro, B.; Rodrigues, L.. "A neural network for shortest path computation". IEEE Transactions on Neural Networks 12 5 (2001): 1067-1073. http://www.scopus.com/inward/record.url?eid=2-s2.0-0035441287&partnerID=MN8TOARS.
    10.1109/72.950136
  78. Carvalho, P.; Costa, N.; Ribeiro, B.; Dourado, A.. "On the use of neural networks and geometrical criteria for localisation of highly irregular elliptical shapes". Pattern Analysis and Applications 2 4 (1999): 321-342. http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000084072500005&KeyUID=WOS:000084072500005.
    10.1007/s100440050040
  79. Carvalho, P.; Costa, N.; Ribeiro, B.; Dourado, A.. "Industrial visual inspection of lime granules by neural networks". Computers and Industrial Engineering 35 3-4 (1998): 539-542. http://www.scopus.com/inward/record.url?eid=2-s2.0-0032307082&partnerID=MN8TOARS.
    10.1016/S0360-8352(98)00153-3
Capítulo de livro
  1. João P. Ferreira; Bernardete Ribeiro; Alexandra Vieira; A. Paulo Coimbra; Manuel M. Crisóstomo; César Bouças; Tao Liu; João Páscoa Pinheiro. "Knee Injured Recovery Analysis Using Extreme Learning Machine". 65-79. Springer International Publishing, 2020.
    10.1007/978-3-030-42520-3_6
  2. Assunção, Filipe; Lourenço, Nuno; Ribeiro, Bernardete; Machado, Penousal. "Incremental Evolution and Development of Deep Artificial Neural Networks". In Lecture Notes in Computer Science, 35-51. Springer International Publishing, 2020.
    10.1007/978-3-030-44094-7_3
  3. Antunes, Francisco; Pereira, Francisco; Ribeiro, Bernardete. "Directional Grid-Based Search for Simulation Metamodeling Using Active Learning". In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 32-46. Springer International Publishing, 2020.
    10.1007/978-3-030-38822-5_3
  4. Oliveira, N.; Costa, J.; Silva, C.; Ribeiro, B.. "Retweet Predictive Model for Predicting the Popularity of Tweets". In Proceedings of the Tenth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2018). 2020.
    10.1007/978-3-030-17065-3_19
  5. Cardoso, Alberto; Leitão, Joaquim; Azevedo, Daniel; Gil, Paulo; Ribeiro, Bernardete. "Application for Monitoring and Prediction of Energy and Water Consumption in Domestic Cyber-Physical Systems". In Cyber-physical Systems and Digital Twins, 28-37. Springer International Publishing, 2019.
    10.1007/978-3-030-23162-0_3
  6. Costa, Joana; Silva, Catarina; Ribeiro, Bernardete. "Learning in Twitter Streams with 280 Character Tweets". In Proceedings of the Tenth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2018), 177-184. Springer International Publishing, 2019.
    10.1007/978-3-030-17065-3_18
  7. Filipe Assunção; Nuno Lourenço; Penousal Machado; Bernardete Ribeiro. "Fast DENSER: Efficient Deep NeuroEvolution". 197-212. Springer International Publishing, 2019.
    10.1007/978-3-030-16670-0_13
  8. Nelson R. C. Monteiro; Bernardete Ribeiro; Joel P. Arrais. "Deep Neural Network Architecture for Drug-Target Interaction Prediction". 2019.
    10.1007/978-3-030-30493-5_76
  9. Huu Phong Nguyen; Bernardete Ribeiro. "Advanced Capsule Networks via Context Awareness". 2019.
    10.1007/978-3-030-30487-4_14
  10. Filipe Assunção; Nuno Lourenço; Penousal Machado; Bernardete Ribeiro. "Evolving the Topology of Large Scale Deep Neural Networks". 2018.
    10.1007/978-3-319-77553-1_2
  11. Ribeiro, B.; Silva, J.; Sung, A.H.; Suryakumar, D.. "Critical Feature Selection and Critical Sampling for Data Mining". In Pattern Recognition and Image Analysis. 2018.
    10.1007/978-981-13-0716-4_2
  12. Lopes, Noel; Ribeiro, Bernardete; Lopes, N.; Ribeiro, B.. "Trading off Distance Metrics vs Accuracy in Incremental Learning Algorithms". Portugal: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017.
    10.1007/978-3-319-52277-7_64
  13. Pérez, J.L.R.; Ribeiro, B.. "Attribute learning for network intrusion detection". In Pattern Recognition and Image Analysis. 2017.
    10.1007/978-3-319-47898-2_5
  14. Costa, J.; Silva, C.; Antunes, M.; Ribeiro, B.. "Performance metrics for model fusion in Twitter data drifts". In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. 2017.
    10.1007/978-3-319-58838-4_2
  15. AghaeiRad, A.; Ribeiro, B.. "Credit prediction using transfer of learning via self-organizing maps to neural networks". 2015.
    10.1007/978-3-319-23983-5_33
  16. Ribeiro, Bernardete; Chen, Ning. "Hashing for Financial Credit Risk Analysis". In Lecture Notes in Computer Science, 395-403. Springer International Publishing, 2014.
    10.1007/978-3-319-12640-1_48
  17. Costa, Joana; Silva, Catarina; Antunes, Mário; Ribeiro, Bernardete. "Defining Semantic Meta-hashtags for Twitter Classification". In Adaptive and Natural Computing Algorithms, 226-235. Springer Berlin Heidelberg, 2013.
    10.1007/978-3-642-37213-1_24
  18. Chen, N.; Ribeiro, B.. "A consensus approach for combining multiple classifiers in cost-sensitive bankruptcy prediction". In Lecture Notes in Computer Science. 2013.
    10.1007/978-3-642-37213-1-28
  19. Figueiredo, Marisa; Ribeiro, Bernardete; de Almeida, Ana Maria. "On the Regularization Parameter Selection for Sparse Code Learning in Electrical Source Separation". In Adaptive and Natural Computing Algorithms, 277-286. Springer Berlin Heidelberg, 2013.
    10.1007/978-3-642-37213-1_29
  20. Ribeiro, Bernardete; Lopes, Noel. "Extreme Learning Classifier with Deep Concepts". In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 182-189. Springer Berlin Heidelberg, 2013.
    10.1007/978-3-642-41822-8_23
  21. Lopes, Noel; Ribeiro, Bernardete. "Improving Convergence of Restricted Boltzmann Machines via a Learning Adaptive Step Size". In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 511-518. Springer Berlin Heidelberg, 2012.
    10.1007/978-3-642-33275-3_63
  22. Gonçalves, João; Lopes, Noel; Ribeiro, Bernardete. "Multi-threaded Support Vector Machines for Pattern Recognition". In Lecture Notes in Computer Science, 616-623. Springer Berlin Heidelberg, 2012.
    10.1007/978-3-642-34481-7_75
  23. Lopes, Noel; Correia, Daniel; Pereira, Carlos; Ribeiro, Bernardete; Dourado, António. "An Incremental Hypersphere Learning Framework for Protein Membership Prediction". In Hybrid Artificial Intelligent Systems, 429-439. Springer Berlin Heidelberg, 2012.
    10.1007/978-3-642-28942-2_39
  24. Ribeiro, Bernardete; Chen, Ning. "Biclustering and Subspace Learning with Regularization for Financial Risk Analysis". In Lecture Notes in Computer Science, 228-235. Springer Berlin Heidelberg, 2012.
    10.1007/978-3-642-34487-9_28
  25. Vieira, Armando; Ribeiro, Bernardete; Chen, Ning. "Credit Scoring for SME Using a Manifold Supervised Learning Algorithm". In Intelligent Data Engineering and Automated Learning - IDEAL 2012, 763-770. Springer Berlin Heidelberg, 2012.
    10.1007/978-3-642-32639-4_90
  26. Antunes, M.; Silva, C.; Ribeiro, B.; Correia, M.. "A hybrid AIS-SVM ensemble approach for text classification". In Lecture Notes in Computer Science. 2011.
    10.1007/978-3-642-20267-4_36
  27. Lopes, Noel; Ribeiro, Bernardete. "A Robust Learning Model for Dealing with Missing Values in Many-Core Architectures". In Adaptive and Natural Computing Algorithms, 108-117. Springer Berlin Heidelberg, 2011.
    10.1007/978-3-642-20267-4_12
  28. Figueiredo, Marisa B.; de Almeida, Ana; Ribeiro, Bernardete. "An Experimental Study on Electrical Signature Identification of Non-Intrusive Load Monitoring (NILM) Systems". In Adaptive and Natural Computing Algorithms, 31-40. Springer Berlin Heidelberg, 2011.
    10.1007/978-3-642-20267-4_4
  29. Lopes, Noel; Ribeiro, Bernardete. "An Incremental Class Boundary Preserving Hypersphere Classifier". In Lecture Notes in Computer Science, 690-699. Springer Berlin Heidelberg, 2011.
    10.1007/978-3-642-24958-7_80
  30. Chen, Ning; Ribeiro, Bernardete; Vieira, Armando S.. "Bankruptcy Trajectory Analysis on French Companies Using Self-Organizing Map". In Progress in Artificial Intelligence, 407-417. Springer Berlin Heidelberg, 2011.
    10.1007/978-3-642-24769-9_30
  31. Ribeiro, Bernardete; Lopes, Noel. "Deep Belief Networks for Financial Prediction". In Lecture Notes in Computer Science, 766-773. Springer Berlin Heidelberg, 2011.
    10.1007/978-3-642-24965-5_86
  32. Ribeiro, Bernardete; Gonçalves, Ivo; Santos, Sérgio; Kovacec, Alexander. "Deep Learning Networks for Off-Line Handwritten Signature Recognition". In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 523-532. Springer Berlin Heidelberg, 2011.
    10.1007/978-3-642-25085-9_62
  33. Ribeiro, Bernardete; Quintas, Ricardo; Lopes, Noel. "Evaluation of a Resource Allocating Network with Long Term Memory Using GPU". In Adaptive and Natural Computing Algorithms, 41-50. Springer Berlin Heidelberg, 2011.
    10.1007/978-3-642-20267-4_5
  34. Costa, Joana; Silva, Catarina; Antunes, Mário; Ribeiro, Bernardete. "Get Your Jokes Right: Ask the Crowd". In Lecture Notes in Computer Science, 178-185. Springer Berlin Heidelberg, 2011.
    10.1007/978-3-642-24443-8_20
  35. Figueiredo, Marisa; de Almeida, Ana; Ribeiro, Bernardete. "Non-intrusive Residential Electrical Consumption Traces". In Ambient Intelligence - Software and Applications, 51-58. Springer Berlin Heidelberg, 2011.
    10.1007/978-3-642-19937-0_7
  36. Silva, Catarina; Ribeiro, Bernardete. "Purging False Negatives in Cancer Diagnosis Using Incremental Active Learning". In Intelligent Data Engineering and Automated Learning - IDEAL 2011, 394-402. Springer Berlin Heidelberg, 2011.
    10.1007/978-3-642-23878-9_47
  37. Costa, Joana; Silva, Catarina; Antunes, Mário; Ribeiro, Bernardete. "The Importance of Precision in Humour Classification". In Intelligent Data Engineering and Automated Learning - IDEAL 2011, 271-278. Springer Berlin Heidelberg, 2011.
    10.1007/978-3-642-23878-9_33
  38. Lopes, Noel; Ribeiro, Bernardete. "A Hybrid Face Recognition Approach Using GPUMLib". In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 96-103. Springer Berlin Heidelberg, 2010.
    10.1007/978-3-642-16687-7_17
  39. Silva, Catarina; Ribeiro, Bernardete. "Background on Text Classification". In Inductive Inference for Large Scale Text Classification, 3-29. Springer Berlin Heidelberg, 2010.
    10.1007/978-3-642-04533-2_1
  40. Silva, Catarina; Ribeiro, Bernardete. "Background on Text Classification". In Inductive Inference for Large Scale Text Classification, 3-29. Springer Berlin Heidelberg, 2010.
    10.1007/978-3-642-04533-2_1
  41. Silva, Catarina; Ribeiro, Bernardete. "Enhancing SVMs for Text Classification". In Inductive Inference for Large Scale Text Classification, 51-70. Springer Berlin Heidelberg, 2010.
    10.1007/978-3-642-04533-2_3
  42. Figueiredo, Marisa B.; de Almeida, Ana; Ribeiro, Bernardete; Martins, António. "Extracting Features from an Electrical Signal of a Non-Intrusive Load Monitoring System". In Intelligent Data Engineering and Automated Learning – IDEAL 2010, 210-217. Springer Berlin Heidelberg, 2010.
    10.1007/978-3-642-15381-5_26
  43. Silva, Catarina; Ribeiro, Bernardete. "Framework for Text Classification". In Inductive Inference for Large Scale Text Classification, 117-128. Springer Berlin Heidelberg, 2010.
    10.1007/978-3-642-04533-2_6
  44. Silva, Catarina; Ribeiro, Bernardete. "Kernel Machines for Text Classification". In Inductive Inference for Large Scale Text Classification, 31-48. Springer Berlin Heidelberg, 2010.
    10.1007/978-3-642-04533-2_2
  45. Lopes, Noel; Ribeiro, Bernardete. "Non-negative Matrix Factorization Implementation Using Graphic Processing Units". In Intelligent Data Engineering and Automated Learning – IDEAL 2010, 275-283. Springer Berlin Heidelberg, 2010.
    10.1007/978-3-642-15381-5_34
  46. Silva, Catarina; Ribeiro, Bernardete. "Scaling RVMs for Text Classification". In Inductive Inference for Large Scale Text Classification, 71-91. Springer Berlin Heidelberg, 2010.
    10.1007/978-3-642-04533-2_4
  47. Chen, Ning; Ribeiro, Bernardete; Vieira, Armando; Duarte, João; Neves, João. "Weighted Learning Vector Quantization to Cost-Sensitive Learning". In Artificial Neural Networks – ICANN 2010, 277-281. Springer Berlin Heidelberg, 2010.
    10.1007/978-3-642-15825-4_33
  48. Vieira, Armando S.; Duarte, João; Ribeiro, Bernardete; Neves, João C.. "Accurate Prediction of Financial Distress of Companies with Machine Learning Algorithms". In Adaptive and Natural Computing Algorithms, 569-576. Springer Berlin Heidelberg, 2009.
    10.1007/978-3-642-04921-7_58
  49. Chen, Ning; Vieira, Armando S.; Duarte, João; Ribeiro, Bernardete; Neves, João C.. "Cost-Sensitive Learning Vector Quantization for Financial Distress Prediction". In Progress in Artificial Intelligence, 374-385. Springer Berlin Heidelberg, 2009.
    10.1007/978-3-642-04686-5_31
  50. Ribeiro, Bernardete; Silva, Catarina; Vieira, Armando; Neves, João. "Extracting Discriminative Features Using Non-negative Matrix Factorization in Financial Distress Data". In Adaptive and Natural Computing Algorithms, 537-547. Springer Berlin Heidelberg, 2009.
    10.1007/978-3-642-04921-7_55
  51. Lopes, Noel; Ribeiro, Bernardete. "Fast Pattern Classification of Ventricular Arrhythmias Using Graphics Processing Units". In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 603-610. Springer Berlin Heidelberg, 2009.
    10.1007/978-3-642-10268-4_71
  52. Lopes, Noel; Ribeiro, Bernardete. "GPU Implementation of the Multiple Back-Propagation Algorithm". In Intelligent Data Engineering and Automated Learning - IDEAL 2009, 449-456. Springer Berlin Heidelberg, 2009.
    10.1007/978-3-642-04394-9_55
  53. Vieira, Armando; Duarte, João; Ribeiro, Bernardete; Neves, Joao Carvalho. "Improving Personal Credit Scoring with HLVQ-C". In Advances in Neuro-Information Processing, 97-103. Springer Berlin Heidelberg, 2009.
    10.1007/978-3-642-03040-6_12
  54. Silva, Catarina; Ribeiro, Bernardete. "Improving Text Classification Performance with Incremental Background Knowledge". In Artificial Neural Networks – ICANN 2009, 923-931. Springer Berlin Heidelberg, 2009.
    10.1007/978-3-642-04274-4_95
  55. Silva, Catarina; Ribeiro, Bernardete. "Improving Visualization, Scalability and Performance of Multiclass Problems with SVM Manifold Learning". In Adaptive and Natural Computing Algorithms, 370-379. Springer Berlin Heidelberg, 2009.
    10.1007/978-3-642-04921-7_38
  56. Silva, Catarina; Ribeiro, Bernardete. "Knowledge Extraction with Non-Negative Matrix Factorization for Text Classification". In Intelligent Data Engineering and Automated Learning - IDEAL 2009, 300-308. Springer Berlin Heidelberg, 2009.
    10.1007/978-3-642-04394-9_37
  57. Ribeiro, Bernardete; Vieira, Armando; Duarte, João; Silva, Catarina; das Neves, João Carvalho; Liu, Qingzhong; Sung, Andrew H.. "Learning Manifolds for Bankruptcy Analysis". In Advances in Neuro-Information Processing, 723-730. Springer Berlin Heidelberg, 2009.
    10.1007/978-3-642-02490-0_88
  58. Beliczynski, Bartlomiej; Ribeiro, Bernardete. "Several Enhancements to Hermite-Based Approximation of One-Variable Functions". In Artificial Neural Networks - ICANN 2008, 11-20. Springer Berlin Heidelberg, 2008.
    10.1007/978-3-540-87536-9_2
  59. Ribeiro, Bernardete; Vieira, Armando; Carvalho das Neves, João. "Supervised Isomap with Dissimilarity Measures in Embedding Learning". In Progress in Pattern Recognition, Image Analysis and Applications, 389-396. Springer Berlin Heidelberg, 2008.
    10.1007/978-3-540-85920-8_48
  60. Silva, Catarina; Ribeiro, Bernardete. "Text Classification on Embedded Manifolds". In Advances in Artificial Intelligence – IBERAMIA 2008, 272-281. Springer Berlin Heidelberg, 2008.
    10.1007/978-3-540-88309-8_28
  61. Silva, C.; Ribeiro, B.; Sung, A.H.. "Boosting RVM classifiers for large data sets". In Intelligent Data Engineering and Automated Learning – IDEAL 2006. 2007.
  62. Ribeiro, B.. "Support, relevance and spectral learning for time series". In Intelligent Data Engineering and Automated Learning – IDEAL 2006. 2007.
  63. Silva, Catarina; Ribeiro, Bernardete. "Automated Learning of RVM for Large Scale Text Sets: Divide to Conquer". In Intelligent Data Engineering and Automated Learning – IDEAL 2006, 878-886. Springer Berlin Heidelberg, 2006.
    10.1007/11875581_105
Livro
  1. Morales, A.; Fierrez, J.; Sánchez, J.S.; Ribeiro, B.. Preface. 2019.
    10.3917/ems.briot.2014.01.0007
  2. Vieira, Armando; Ribeiro, Bernardete (3F19-1A9B-3803). Introduction to Deep Learning Business Applications for Developers. Estados Unidos: Apress, Springer Science and Business Media Company. 2018.
    10.1007/978-1-4842-3453-2
  3. Silva, Catarina; Ribeiro, Bernardete. Aprendizagem Computacional em Engenharia. Coimbra: Imprensa da Universidade de Coimbra. 2017.
    10.14195/978-989-26-1508-0
  4. Lopes, Noel; Ribeiro, Bernardete; B Ribeiro. Machine Learning for Adaptive Many-Core Machines - A Practical Approach. Portugal: Springer. 2015.
    10.1007/978-3-319-06938-8
  5. B Ribeiro. Inductive Inference for Large Scale Text Classification. 2010.
    10.1109/CEC.2010.5586169
  6. Silva, C.; Ribeiro, B.. Studies in Computational Intelligence: Preface. 2010.
  7. B Ribeiro. Adaptive and Natural Computing Algorithms Part I. Alemanha: Springer Berlin Heidelberg. 2007.
    Publicado • 10.1007/978-3-540-71618-1
  8. B Ribeiro. Adaptive and Natural Computing Algorithms Part II. Alemanha: Springer Berlin Heidelberg. 2007.
    10.1007/978-3-540-71629-7
  9. B Ribeiro. Proc. of the 3rd Portuguese Conference on Automatic Control - Controlo’98,. Coimbra, Portugal. 1998.
    Publicado
  10. B Ribeiro. Engenharia da Programação e dos Processos Algorítmicos. coimbra, Portugal: ISBN: 972-8525-00-1. 1998.
    Publicado
Relatório
  1. Araújo, Filipe; Ribeiro, Bernardete; Rodrigues, Luís. 2000. A Neural Network for Shortest Path Computation. http://hdl.handle.net/10451/14147.
Tese / Dissertação
  1. Ferreira, Pedro Filipe Soares. "Deep Reinforcement Learning for Condition Based Monitoring in Aircraft Planning". Mestrado, 2019. http://hdl.handle.net/10316/88031.
  2. Sereno, David Martins Duarte. "Automatic Evolution of Deep AutoEncoders". Mestrado, 2018. http://hdl.handle.net/10316/84362.
  3. Coelho, Guilherme Pedro Antunes Carvalhas Gabriel. "Computational discovery of drug-target interaction". Mestrado, 2018. http://hdl.handle.net/10316/86211.
  4. Oliveira, Nelson Joukov Costa de. "Retweet Predictive Model in Twitter". Mestrado, 2018. http://hdl.handle.net/10316/83564.
  5. Silva, José Miguel Parreira e. "Finding the Critical Feature Dimension of Big Datasets". Mestrado, 2017. http://hdl.handle.net/10316/82847.
  6. Barata, Ricardo Jorge Dias. "Previsão de crises epiléticas utilizando características univariativas e Stacked Autoencoders". Mestrado, 2017. http://hdl.handle.net/10316/84365.
  7. Rodrigues, Filipe Manuel Pereira Duarte. "Probabilistic models for learning from crowdsourced data". Doutoramento, 2016. http://hdl.handle.net/10316/29454.
  8. Khalighi, Sirvan. "Learning Under Distribution Mismatch Applied in Biosignal Processing". Doutoramento, 2016. http://hdl.handle.net/10316/31266.
  9. Lourenço, Mariana Rodrigues. "Supervised Topic Models with Multiple Annotators". Mestrado, 2015. http://hdl.handle.net/10316/35717.
  10. Oliveira, Goncalo Filipe Palaio; B Ribeiro. "SABADO - SmArt BrAnd DetectiOn". Mestrado, 2015. http://hdl.handle.net/10316/35697.
  11. Frutuoso, Daniel Gonçalves. "SMITH - Smart MonITor Health system". Mestrado, 2015. http://hdl.handle.net/10316/35703.
  12. Frutuoso, Manuel Levi Lacerda Amaral Eirô. "Parsimonious sensing with Active Learning: applications with context mining and environmental sensing". Mestrado, 2015. http://hdl.handle.net/10316/35661.
  13. Lopes, Noel. "Machine Learning for Adaptive Multi-Core Machines". Doutoramento, 2014. http://hdl.handle.net/10316/23773.
  14. Figueiredo, Marisa. "Contributions to Electrical Energy Disaggregation in a Smart Home". Doutoramento, 2014. http://hdl.handle.net/10316/24256.
  15. 0. "Ensemble Learning for Keyword Extraction". Mestrado, 2013. http://hdl.handle.net/10316/35576.
  16. Silva, Catarina Helena Branco Simões da. "Inductive inference for large scale text classification". Doutoramento, 2009. http://hdl.handle.net/10316/9689.
  17. Carvalho, Paulo Fernando Pereira de. "Contribuição para a calibração de sistemas de aquisição de imagem : tratamento da complexidade por selecção automática da estrutura de modelos". Doutoramento, 2002. http://hdl.handle.net/10316/1764.
  18. Araújo, Filipe João Boavida de Mendonça Machado de. "Aplicação das redes de Hopfield no encaminhamento em redes de dados". Mestrado, 1999. http://hdl.handle.net/10316/10201.
  19. Ribeiro, Bernardete Martins. "Contribuição para a modelização, supervisão e controlo de sistemas multivariáveis não lineares por redes neuronais com aplicação a um forno de cal". Doutoramento, 1995. http://hdl.handle.net/10316/1903.
  20. Ribeiro, Bernardete Martins. "DINTER : um simulador de processos de destilação". 1986. http://hdl.handle.net/10316/13918.

Outros

Outra produção
  1. B Ribeiro. 2015. Generating Datasets with Drift.
  2. B Ribeiro. 2015. Glucose Level Prediction in Diabetic Patients.
  3. B Ribeiro. 2014. Handwritten Signature Matching using GPUMLib.
  4. B Ribeiro. 2014. Learning with Drift in Twitter.
  5. Ribeiro, Bernardete Martins. 2010. Programa, Conteúdos e Métodos de Ensino Teórico e Prático : Técnicas de Reconhecimento de Padrões. Relatório de unidade curricular, apresentado para provas de agregação em Engenharia Informática, da Faculdade de Ciências e Tecnologia da Universidade de Coimbra. http://hdl.handle.net/10316/17602.
    RIBEIRO, Bernardete Martins - Programa, Conteúdos e Métodos de Ensino Teórico e Prático : Técnicas de Reconhecimento de Padrões [em linha]. Coimbra : [s.n], 2010. [Consult. Dia Mês Ano]. Relatório de Unidade Curricular apresentado para Provas de Agregação
  6. Ribeiro, Bernardete Martins. 2010. Computational Intelligence: Neural Networks and Kernel Methods. Sumário do seminário apresentado para provas de agregação em Engenharia Informática da Faculdade de Ciências e Tecnologia da Universidade de Coimbra. http://hdl.handle.net/10316/17603.
    RIBEIRO, Bernardete Martins - Computational Intelligence: Neural Networks and Kernel Methods [em linha]. Coimbra : [s.n], 2010. [Consult. Dia Mês Ano]. Sumário do seminário apresentado para Provas de Agregação. Disponível na WWW:
Atividades

Orientação

Título / Tema
Papel desempenhado
Curso (Tipo)
Instituição / Organização
2019 - 2019 Deep Reinforcement Learning for Condition Based Monitoring in Aircraft Planning
Orientador
Engenharia Informática (Mestrado)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
2018 - 2018 Automatic Evolution of Deep AutoEncoders
Coorientador
Engenharia Informática (Mestrado)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
2018 - 2018 Retweet Predictive Model in Twitter
Orientador
Engenharia Informática (Mestrado)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
2018 - 2018 Computational discovery of drug-target interaction
Coorientador
Engenharia Biomédica (Mestrado)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
2017 - 2017 Finding the Critical Feature Dimension of Big Datasets
Orientador
Engenharia Informática (Mestrado)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
2017 - 2017 Previsão de crises epiléticas utilizando características univariativas e Stacked Autoencoders
Coorientador
Engenharia Biomédica (Mestrado)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
2015 - 2015 SMITH - Smart MonITor Health system
Orientador
Engenharia Informática (Mestrado)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
2015 - 2015 Parsimonious sensing with Active Learning: applications with context mining and environmental sensing
Orientador
Engenharia Informática (Mestrado)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
2015 - 2015 SABADO - SmArt BrAnd DetectiOn
Orientador
Engenharia Informática (Mestrado)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
2015 - 2015 Supervised Topic Models with Multiple Annotators
Orientador
Engenharia Informática (Mestrado)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
2015 - 2015 Criação de Conceitos com Redes de Activação Regulada
Orientador
Ciências e Tecnologias da Informação (Doutoramento)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
2013 - 2013 Ensemble Learning for Keyword Extraction
Coorientador
Engenharia Informática (Mestrado)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
2012 - 2012 Extração de Informação Colaborativa em Ambientes Dinâmicos
Orientador
Ciências e Tecnologias da Informação (Doutoramento)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
2012 - 2012 Probabilistic models for learning from crowdsourced data
Coorientador
Ciências e Tecnologias da Informação (Doutoramento)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
2009 - 2009 Machine Learning for Adaptive Multi-Core Machiness
Orientador
Engenharia Informática (Doutoramento)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
2009 - 2009 Heterogenous Structured Data Mining on Information Networks Incorporating Semantics
Orientador
Engenharia Informática (Doutoramento)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal
2005 - 2005 Inferência Indutiva na Categorização de Texto Usando Máquinas de Vectores de Suporte
Orientador
Engenharia Informática (Doutoramento)
Universidade de Coimbra Faculdade de Ciencias e Tecnologia, Portugal

Arbitragem científica em revista

Nome da revista (ISSN) Editora
2018 - Atual IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans (1558-2426) Institute of Electrical and Electronics Engineers
2013 - Atual Journal of Data Mining and Digital Humanities (JDMDH)
2013 - Atual International Journal of Machine Intelligence and Sensory Signal Processing (IJMISSP)

Membro de associação

Nome da associação Tipo de participação
2016 - Atual Portuguese Association for Artificial Intelligence (APIA) Member
2016 - Atual AAAS - American Association for the Advancement in Science Member
2012 - Atual Portuguese Association for Pattern Recognition Former President (2018-2019), Member
2011 - Atual ACM Computing Member
2008 - Atual IEEE - Institute of Electrical and Electronics Engineers Senior Member
1998 - Atual Portuguese Association of Automatic Control (APCA) Member

Membro de comissão

Descrição da atividade
Tipo de participação
Instituição / Organização
2015 - Atual Scientific of the Department of Informatics Engineering
Membro
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
Distinções

Outra distinção

2019 APRP Scientific Merit Award
Associação Portuguesa de Reconhecimento de Padrões, Portugal
2017 Melhor Tese de Doutoramento atribuída a Filipe Rodrigues com o título “Probabilistic Models for Learning from Crowdsourced data” atribuído em Junho de 2017
2017 Menção Honrosa para a Tese de Doutoramento atribuída pela Associação Portuguesa Para a Inteligência Artificial (APPIA) a Filipe Rodrigues com o título “Probabilistic Models for Learning from Crowdsourced data”
2016 Best Paper Award, ""Twitter classification: are some examples better than other?", J Costa, C Silva, M. Antunes, B Ribeiro, RecPAD, Aveiro, October 2016
2015 Best Prize of MSc Thesis (Mariana Lourenço) (Advisor of Mariana Lourenço)
2013 Best article published by portuguese authors in international journals, "Modeling epileptic brain states using EEG spectral analysis and topographic mapping", J. Neuroscience M, Sep 2012 (w/B Direito, C Teixeira, A. Dourado, M.Castelo-Branco, F Sales )
2013 IEEE Senior Member Grade Elevation Notification
2010 AIRES - Advanced Intelligent Risk Evaluation System (Honnors Mention)
2009 Scientific Merit Award
2007 Best Paper Award
2001 Best Paper Award