CalibraSNN: Fair and Calibrated Convolutional Spiking Neural Network for High-Stakes Industry Applications.

Bernardete Ribeiro https://www.cisuc.uc.pt/people/show/2020 https://scholar.google.com/citations?user=iASQcSYAAAAJ https://orcid.org/0000-0002-9770-7672 https://www.wikidata.org/entity/Q51272062 https://www.researcherid.com/rid/A-8010-2016

Dylan Perdigão Francisco Antunes Catarina Silva 0001 Bernardete Ribeiro CalibraSNN: Fair and Calibrated Convolutional Spiking Neural Network for High-Stakes Industry Applications. 210979-210995 2025 13 IEEE Access https://doi.org/10.1109/ACCESS.2025.3641389 db/journals/access/access13.html#PerdigaoASR25 streams/journals/access

José Carlos Almeida Bernardete Ribeiro Alberto Cardoso A Multi-objective Reinforcement Learning Model to Support Decision-Makers in Assessing Key Maintenance Factors for Sustainable Manufacturing. 124 2025 September 6 Oper. Res. Forum 3 https://doi.org/10.1007/s43069-025-00539-5 db/journals/orf/orf6.html#AlmeidaRC25 streams/journals/orf

Luis H. M. Torres Joel P. Arrais Bernardete Ribeiro Rethinking transformers with convolution and graph embeddings for few-shot molecular property discovery. 111657 2025 166 Pattern Recognit. https://doi.org/10.1016/j.patcog.2025.111657 db/journals/pr/pr166.html#TorresAR25 streams/journals/pr

Bernardete Ribeiro Francisco Antunes Dylan Perdigão Catarina Silva 0001 Convolutional Spiking Neural Networks targeting learning and inference in highly imbalanced datasets. 241-247 2025 189 Pattern Recognit. Lett. https://doi.org/10.1016/j.patrec.2024.08.002 db/journals/prl/prl189.html#RibeiroAPS25 streams/journals/prl

Raúl Llasag Rosero Catarina Silva 0001 Bernardete Ribeiro Melania Albisser Martin H. Brutsche Manuel Arias Chao Label synchronization strategies for hybrid federated learning. 110751 2025 256 Reliab. Eng. Syst. Saf. https://doi.org/10.1016/j.ress.2024.110751 db/journals/ress/ress256.html#RoseroSRABC25 streams/journals/ress

Dinu Bosîi Luis H. M. Torres Joel P. Arrais Bernardete Ribeiro Convolutional Spiking Neural Networks with Molecular Fingerprints for Drug Discovery. 375-387 2025 EPIA (1) https://doi.org/10.1007/978-3-032-05176-9_29 conf/epia/2025-1 db/conf/epia/epia2025-1.html#BosiiTAR25 streams/conf/epia Dinis Costa Joana Cósta Bernardete Ribeiro José Paulo Sousa Rui Pedro Paiva José Rafael Silva Rui Lourenço Catarina Silva 0001 Active Replay for Continual Learning in Plant Species Classification. 126-131 2025 exp.at https://doi.org/10.1109/exp.at2565440.2025.11348470 conf/expat/2025 db/conf/expat/expat2025.html#CostaCRSPSLS25 Dylan Perdigão Francisco Antunes Catarina Silva 0001 Bernardete Ribeiro Spiking Alternatives for the Leaky Integrate-and-Fire Neuron: Applications in Cybersecurity and Financial Threats. 403-414 2025 IbPRIA https://doi.org/10.1007/978-3-031-99565-1_31 conf/ibpria/2025 db/conf/ibpria/ibpria2025.html#PerdigaoASR25 streams/conf/ibpria Dylan Perdigão Francisco Antunes Catarina Silva 0001 Bernardete Ribeiro Bayesian Optimization with 1D-CSNN. 2025 April https://doi.org/10.5281/zenodo.15207921 Zenodo streams/repo/zenodo data/11/PerdigaoASR25a

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 Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation. 2025 January abs/2501.11153 CoRR https://doi.org/10.48550/arXiv.2501.11153 db/journals/corr/corr2501.html#abs-2501-11153 streams/journals/corr

Maryam Abbasi Filipa G. Carvalho Bernardete Ribeiro Joel P. Arrais Predicting drug activity against cancer through genomic profiles and SMILES. 102820 2024 150 Artif. Intell. Medicine https://doi.org/10.1016/j.artmed.2024.102820 db/journals/artmed/artmed150.html#AbbasiCRA24

Luis H. M. Torres Bernardete Ribeiro Joel P. Arrais Multi-scale cross-attention transformer via graph embeddings for few-shot molecular property prediction. 111268 2024 153 Appl. Soft Comput. https://doi.org/10.1016/j.asoc.2024.111268 https://www.wikidata.org/entity/Q129939166 db/journals/asc/asc153.html#TorresRA24

Mario Dib Pedro A. Prates Bernardete Ribeiro SecFL - Secure Federated Learning Framework for predicting defects in sheet metal forming under variability. 121139 2024 January 235 Expert Syst. Appl. https://doi.org/10.1016/j.eswa.2023.121139 db/journals/eswa/eswa235.html#DibPR24

Pedro Quesado Luis H. M. Torres Bernardete Ribeiro Joel P. Arrais A Hybrid GNN Approach for Improved Molecular Property Prediction. 1146-1157 2024 31 J. Comput. Biol. 11 https://doi.org/10.1089/cmb.2023.0452 db/journals/jcb/jcb31.html#QuesadoTRA24 streams/journals/jcb

Luis H. M. Torres Joel P. Arrais Bernardete Ribeiro Combining graph neural networks and transformers for few-shot nuclear receptor binding activity prediction. 109 2024 December 16 J. Cheminformatics 1 https://doi.org/10.1186/s13321-024-00902-4 db/journals/jcheminf/jcheminf16.html#TorresAR24 streams/journals/jcheminf

Raúl Llasag Rosero Catarina Silva 0001 Bernardete Ribeiro Bruno F. Santos Label synchronization for Hybrid Federated Learning in manufacturing and predictive maintenance. 4015-4034 2024 December 35 J. Intell. Manuf. 8 https://doi.org/10.1007/s10845-023-02298-8 https://www.wikidata.org/entity/Q129087830 db/journals/jim/jim35.html#RoseroSRS24 streams/journals/jim

Dylan Perdigão Francisco Antunes Catarina Silva 0001 Bernardete Ribeiro Exploring Neural Joint Activity in Spiking Neural Networks for Fraud Detection. 45-59 2024 CIARP (2) https://doi.org/10.1007/978-3-031-76604-6_4 conf/ciarp/2024-2 db/conf/ciarp/ciarp2024-2.html#PerdigaoASR24 streams/conf/ciarp Dylan Perdigão Francisco Antunes Catarina Silva 0001 Bernardete Ribeiro Improving Fraud Detection with 1D-Convolutional Spiking Neural Networks Through Bayesian Optimization. 127-138 2024 EPIA (3) https://doi.org/10.1007/978-3-031-73503-5_11 conf/epia/2024-3 db/conf/epia/epia2024-3.html#PerdigaoASR24 streams/conf/epia Dylan Perdigão Francisco Antunes Catarina Silva 0001 Bernardete Ribeiro DylanPerdigao/Bayesian-Optimization-1D-CSNN. 2024 July https://doi.org/10.5281/zenodo.12628435 Zenodo streams/repo/zenodo data/11/PerdigaoASR25a

Miguel Fernandes Catarina Silva 0001 Alberto Cardoso Bernardete Ribeiro The Significance of Latent Data Divergence in Predicting System Degradation. 2024 abs/2406.12914 CoRR https://doi.org/10.48550/arXiv.2406.12914 db/journals/corr/corr2406.html#abs-2406-12914

Luis H. M. Torres Bernardete Ribeiro Joel P. Arrais Few-shot learning with transformers via graph embeddings for molecular property prediction. 120005 2023 September 225 Expert Syst. Appl. https://doi.org/10.1016/j.eswa.2023.120005 db/journals/eswa/eswa225.html#TorresRA23

Luis H. M. Torres Joel P. Arrais Bernardete Ribeiro Few-shot learning via graph embeddings with convolutional networks for low-data molecular property prediction. 13167-13185 2023 June 35 Neural Comput. Appl. 18 https://doi.org/10.1007/s00521-023-08403-5 db/journals/nca/nca35.html#TorresAR23

José Carlos Almeida Bernardete Ribeiro Alberto Cardoso A human-centric approach to aid in assessing maintenance from the sustainable manufacturing perspective. 600-607 2023 ANT/EDI40 https://doi.org/10.1016/j.procs.2023.03.076 conf/ant/2023 db/conf/ant/ant2023.html#AlmeidaRC23 Dinis Costa Catarina Silva 0001 Joana Cósta Bernardete Ribeiro Improving Pest Detection via Transfer Learning. 105-116 2023 CIARP https://doi.org/10.1007/978-3-031-49249-5_8 conf/ciarp/2023-2 db/conf/ciarp/ciarp2023-2.html#CostaSCR23 Raúl Llasag Rosero Catarina Silva 0001 Bernardete Ribeiro Forecasting Functional Time Series Using Federated Learning. 491-504 2023 EANN https://doi.org/10.1007/978-3-031-34204-2_40 conf/eann/2023 db/conf/eann/eann2023.html#RoseroSR23 Catarina Silva 0001 Tiago Faria Bernardete Ribeiro Towards Interpretability in Fintech Applications via Knowledge Augmentation. 106-117 2023 EPIA (1) https://doi.org/10.1007/978-3-031-49008-8_9 conf/epia/2023-1 db/conf/epia/epia2023-1.html#SilvaFR23 Dinis Costa Catarina Silva 0001 Joana Cósta Bernardete Ribeiro Enhancing Pest Detection Models Through Improved Annotations. 364-375 2023 EPIA (2) https://doi.org/10.1007/978-3-031-49011-8_29 conf/epia/2023-2 db/conf/epia/epia2023-2.html#CostaSCR23 Luis H. M. Torres Bernardete Ribeiro Joel Arrais Convolutional Transformer via Graph Embeddings for Few-shot Toxicity and Side Effect Prediction. 2023 ESANN https://doi.org/10.14428/esann/2023.ES2023-66 conf/esann/2023 db/conf/esann/esann2023.html#TorresRA23 Dinis Costa Bruno Cardoso Catarina Silva 0001 Joana Cósta Bernardete Ribeiro Intelligent System for Automatic Whitefly Detection in Tomato Greenhouses. 29-30 2023 exp.at https://doi.org/10.1109/exp.at2358782.2023.10546195 conf/expat/2023 db/conf/expat/expat2023.html#CostaC0CR23 Dinis Costa Catarina Silva 0001 Joana Cósta Bernardete Ribeiro Smart Pest Detection in the Wild. 111-115 2023 exp.at https://doi.org/10.1109/exp.at2358782.2023.10546065 conf/expat/2023 db/conf/expat/expat2023.html#Costa0CR23 Raúl Llasag Rosero Catarina Silva 0001 Bernardete Ribeiro Evaluating Collaborative Forecasting in Non-horizontal Federated Learning. 324-333 2023 HIS (2) https://doi.org/10.1007/978-3-031-78925-0_32 conf/his/2023-2 db/conf/his/his2023-2.html#RoseroSR23 Dinis Costa Catarina Silva 0001 Joana Cósta Bernardete Ribeiro Optimizing Object Detection Models via Active Learning. 82-93 2023 IbPRIA https://doi.org/10.1007/978-3-031-36616-1_7 conf/ibpria/2023 db/conf/ibpria/ibpria2023.html#CostaSCR23 Adriano Durao Joel P. Arrais Bernardete Ribeiro Gabriel Falcao On the Quantization of Recurrent Neural Networks for Smiles Generation. 1-5 2023 ICASSP https://doi.org/10.1109/ICASSP49357.2023.10095354 conf/icassp/2023 db/conf/icassp/icassp2023.html#DuraoARF23

Nguyen Huu Phong Bernardete Ribeiro Video Action Recognition Collaborative Learning with Dynamics via PSO-ConvNet Transformer. 2023 abs/2302.09187 CoRR https://doi.org/10.48550/arXiv.2302.09187 db/journals/corr/corr2302.html#abs-2302-09187

Nguyen Huu Phong Augusto Santos Bernardete Ribeiro PSO-Convolutional Neural Networks With Heterogeneous Learning Rate. 89970-89988 2022 10 IEEE Access https://doi.org/10.1109/ACCESS.2022.3201142 db/journals/access/access10.html#PhongSR22

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 Designing optimized drug candidates with Generative Adversarial Network. 40 2022 14 J. Cheminformatics 1 https://doi.org/10.1186/s13321-022-00623-6 db/journals/jcheminf/jcheminf14.html#AbbasiSPSMSBROA22

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 Correction to: Designing optimized drug candidates with Generative Adversarial Network. 53 2022 14 J. Cheminformatics 1 https://doi.org/10.1186/s13321-022-00631-6 db/journals/jcheminf/jcheminf14.html#AbbasiSPSMSBROA22a

Filipa G. Carvalho Maryam Abbasi Bernardete Ribeiro Joel P. Arrais Deep Model for Anticancer Drug Response through Genomic Profiles and Compound Structures. 1-6 2022 CBMS https://doi.org/10.1109/CBMS55023.2022.00050 conf/cbms/2022 db/conf/cbms/cbms2022.html#CarvalhoARA22 Catarina Silva 0001 António Morais Bernardete Ribeiro A Generic Approach to Extend Interpretability of Deep Networks. 488-499 2022 EPIA https://doi.org/10.1007/978-3-031-16474-3_40 conf/epia/2022 db/conf/epia/epia2022.html#SilvaMR22 Goreti Marreiros Bruno Martins 0001 Ana Paiva 0001 Bernardete Ribeiro Alberto Sardinha Progress in Artificial Intelligence - 21st EPIA Conference on Artificial Intelligence, EPIA 2022, Lisbon, Portugal, August 31 - September 2, 2022, Proceedings EPIA Springer 2022 Lecture Notes in Computer Science 13566 978-3-031-16473-6 978-3-031-16474-3 https://doi.org/10.1007/978-3-031-16474-3 db/conf/epia/epia2022.html

Nguyen Huu Phong Augusto Santos Bernardete Ribeiro PSO-Convolutional Neural Networks with Heterogeneous Learning Rate. 2022 abs/2205.10456 CoRR https://doi.org/10.48550/arXiv.2205.10456 db/journals/corr/corr2205.html#abs-2205-10456

Nguyen Huu Phong Bernardete Ribeiro Action Recognition for American Sign Language. 2022 abs/2205.12261 CoRR https://doi.org/10.48550/arXiv.2205.12261 db/journals/corr/corr2205.html#abs-2205-12261

Joaquim Leitão Carlos M. Fonseca Paulo Gil Bernardete Ribeiro Alberto Cardoso A Compressive Receding Horizon Approach for Smart Home Energy Management. 100407-100435 2021 9 IEEE Access https://doi.org/10.1109/ACCESS.2021.3093277 db/journals/access/access9.html#LeitaoFGRC21

Tiago Pereira 0001 Maryam Abbasi José Luís Oliveira Bernardete Ribeiro Joel Arrais Optimizing blood-brain barrier permeation through deep reinforcement learning for de novo drug design. 84-92 2021 37 Bioinform. Supplement https://doi.org/10.1093/bioinformatics/btab301 db/journals/bioinformatics/bioinformatics37.html#PereiraAORA21

Tiago Pereira 0001 Maryam Abbasi Bernardete Ribeiro Joel P. Arrais Diversity oriented Deep Reinforcement Learning for targeted molecule generation. 21 2021 13 J. Cheminformatics 1 https://doi.org/10.1186/s13321-021-00498-z https://www.wikidata.org/entity/Q114677137 db/journals/jcheminf/jcheminf13.html#PereiraARA21

Filipe Assunção Nuno Lourenço 0002 Bernardete Ribeiro Penousal Machado Fast-DENSER: Fast Deep Evolutionary Network Structured Representation. 100694 2021 14 SoftwareX https://doi.org/10.1016/j.softx.2021.100694 db/journals/softx/softx14.html#AssuncaoLRM21

Nelson R. C. Monteiro Bernardete Ribeiro Joel P. Arrais Drug-Target Interaction Prediction: End-to-End Deep Learning Approach. 2364-2374 2021 18 IEEE ACM Trans. Comput. Biol. Bioinform. 6 https://doi.org/10.1109/TCBB.2020.2977335 https://www.wikidata.org/entity/Q90109342 db/journals/tcbb/tcbb18.html#MonteiroRA21

Beatriz P. Santos Maryam Abbasi Tiago Pereira 0001 Bernardete Ribeiro Joel P. Arrais Optimizing Recurrent Neural Network Architectures for De Novo Drug Design. 172-177 2021 CBMS https://doi.org/10.1109/CBMS52027.2021.00067 conf/cbms/2021 db/conf/cbms/cbms2021.html#SantosAPRA21 Tiago Faria Catarina Silva 0001 Bernardete Ribeiro Interpreting Decision Patterns in Financial Applications. 291-300 2021 CIARP https://doi.org/10.1007/978-3-030-93420-0_28 conf/ciarp/2021 db/conf/ciarp/ciarp2021.html#FariaSR21 Maryam Abbasi Tiago Pereira 0001 Beatriz P. Santos Bernardete Ribeiro Joel Arrais Multiobjective Reinforcement Learning in Optimized Drug Design. 2021 ESANN https://doi.org/10.14428/esann/2021.ES2021-87 conf/esann/2021 db/conf/esann/esann2021.html#AbbasiPSRA21 Miguel Fernandes Catarina Silva 0001 Joel Arrais Alberto Cardoso Bernardete Ribeiro Decay Momentum for Improving Federated Learning. 2021 ESANN https://doi.org/10.14428/esann/2021.ES2021-106 conf/esann/2021 db/conf/esann/esann2021.html#Fernandes0ACR21 Beatriz P. Santos Maryam Abbasi Tiago Pereira 0001 Bernardete Ribeiro Joel Arrais Improvement on Generative Adversarial Network for Targeted Drug Design. 2021 ESANN https://doi.org/10.14428/esann/2021.ES2021-96 conf/esann/2021 db/conf/esann/esann2021.html#SantosAPRA21

Joaquim Leitão Paulo Gil Bernardete Ribeiro Alberto Cardoso A Survey on Home Energy Management. 5699-5722 2020 8 IEEE Access https://doi.org/10.1109/ACCESS.2019.2963502 db/journals/access/access8.html#LeitaoGRC20

Rahul Sharma 0008 Bernardete Ribeiro Alexandre Miguel Pinto F. Amílcar Cardoso Learning non-convex abstract concepts with regulated activation networks. 1207-1235 2020 88 Ann. Math. Artif. Intell. 11 https://doi.org/10.1007/s10472-020-09692-5 db/journals/amai/amai88.html#SharmaRPC20

Ana-Lorena Uribe-Hurtado Mauricio Orozco-Alzate Noel Lopes Bernardete Ribeiro GPU-based fast clustering via K-Centres and k-NN mode seeking for geospatial industry applications. 103260 2020 122 Comput. Ind. https://doi.org/10.1016/j.compind.2020.103260 db/journals/cii/cii122.html#Uribe-HurtadoOL20

Daniel Azevedo Bernardete Ribeiro Alberto Cardoso Prediction of the Remaining Useful Life of Aircraft Systems via Web Interface. 23-32 2020 16 Int. J. Online Biomed. Eng. 4 https://doi.org/10.3991/ijoe.v16i04.11873 db/journals/ijoe/ijoe16.html#AzevedoRC20

Pedro Lucas Jorge Sá Silva Filipe Araújo Catarina Silva 0001 Paulo Gil Joel P. Arrais Daniel Coutinho Pedro D. Salgueiro Luís Miguel Rato José Saias Vítor Nogueira Alberto Cardoso Bernardete Ribeiro NanoSen-AQM: From Sensors to Users. 51-62 2020 16 Int. J. Online Biomed. Eng. 4 https://doi.org/10.3991/ijoe.v16i04.11871 db/journals/ijoe/ijoe16.html#LucasSASGACSRSN20

Joana Cósta Catarina Silva 0001 Mário Antunes 0002 Bernardete Ribeiro Boosting dynamic ensemble's performance in Twitter. 10655-10667 2020 32 Neural Comput. Appl. 14 https://doi.org/10.1007/s00521-019-04599-7 db/journals/nca/nca32.html#CostaSAR20

Luis H. M. Torres Nelson R. C. Monteiro José Luís Oliveira Joel Arrais Bernardete Ribeiro Exploring a Siamese Neural Network Architecture for One-Shot Drug Discovery. 168-175 2020 BIBE https://doi.org/10.1109/BIBE50027.2020.00035 conf/bibe/2020 db/conf/bibe/bibe2020.html#TorresMOAR20 Filipe Assunção Nuno Lourenço 0002 Bernardete Ribeiro Penousal Machado Incremental Evolution and Development of Deep Artificial Neural Networks. 35-51 2020 EuroGP https://doi.org/10.1007/978-3-030-44094-7_3 conf/eurogp/2020 db/conf/eurogp/eurogp2020.html#Assuncao0RM20 Filipe Assunção Nuno Lourenço 0002 Bernardete Ribeiro Penousal Machado Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution. 530-545 2020 EvoApplications https://doi.org/10.1007/978-3-030-43722-0_34 conf/evoW/2020a db/conf/evoW/evoappl2020.html#Assuncao0RM20 Tiago Oliveira Pereira 0001 Maryam Abbasi Bernardete Ribeiro Joel P. Arrais End-to-end Deep Reinforcement Learning for Targeted Drug Generation. 7-13 2020 ICCBB https://doi.org/10.1145/3449258.3449260 conf/iccbb/2020 db/conf/iccbb/iccbb2020.html#0001ARA20 Rahul Sharma 0008 Bernardete Ribeiro Alexandre Miguel Pinto F. Amílcar Cardoso Reconstructing Abstract Concepts and their Blends Via Computational Cognitive Modeling. 1-6 2020 IJCNN https://doi.org/10.1109/IJCNN48605.2020.9207232 conf/ijcnn/2020 db/conf/ijcnn/ijcnn2020.html#0008RPC20

Filipe Assunção Nuno Lourenço 0002 Bernardete Ribeiro Penousal Machado Incremental Evolution and Development of Deep Artificial Neural Networks. 2020 abs/2004.00302 CoRR https://arxiv.org/abs/2004.00302 db/journals/corr/corr2004.html#abs-2004-00302

Filipe Assunção Nuno Lourenço 0002 Bernardete Ribeiro Penousal Machado Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution. 2020 abs/2004.00307 CoRR https://arxiv.org/abs/2004.00307 db/journals/corr/corr2004.html#abs-2004-00307

Nguyen Huu Phong Bernardete Ribeiro Rethinking Recurrent Neural Networks and other Improvements for Image Classification. 2020 abs/2007.15161 CoRR https://arxiv.org/abs/2007.15161 db/journals/corr/corr2007.html#abs-2007-15161

Nguyen Huu Phong Bernardete Ribeiro An Improvement for Capsule Networks using Depthwise Separable Convolution. 2020 abs/2007.15167 CoRR https://arxiv.org/abs/2007.15167 db/journals/corr/corr2007.html#abs-2007-15167

Filipe Assunção Nuno Lourenço 0002 Penousal Machado Bernardete Ribeiro DENSER: deep evolutionary network structured representation. 5-35 2019 20 Genet. Program. Evolvable Mach. 1 https://doi.org/10.1007/s10710-018-9339-y https://www.wikidata.org/entity/Q62042007 db/journals/gpem/gpem20.html#AssuncaoLMR19

Ning Chen 0003 Bernardete Ribeiro Chaosheng Tang An Chen Multi-label learning vector quantization for semi-supervised classification. 839-853 2019 23 Intell. Data Anal. 4 https://doi.org/10.3233/IDA-184195 db/journals/ida/ida23.html#ChenRTC19

Bernardete Ribeiro Ning Chen 0003 Alexander Kovacec Shaping graph pattern mining for financial risk. 123-131 2019 326-327 Neurocomputing https://doi.org/10.1016/j.neucom.2017.01.119 db/journals/ijon/ijon326.html#RibeiroCK19

Francisco Antunes Marco Amorim Francisco C. Pereira Bernardete Ribeiro Active learning metamodeling for policy analysis: Application to an emergency medical service simulator. 2019 97 Simul. Model. Pract. Theory https://doi.org/10.1016/j.simpat.2019.101947 https://www.wikidata.org/entity/Q81388606 db/journals/simpra/simpra97.html#AntunesAPR19

Filipe Assunção Nuno Lourenço 0002 Penousal Machado Bernardete Ribeiro Fast DENSER: Efficient Deep NeuroEvolution. 197-212 2019 EuroGP https://doi.org/10.1007/978-3-030-16670-0_13 https://www.wikidata.org/entity/Q68693150 conf/eurogp/2019 db/conf/eurogp/eurogp2019.html#AssuncaoLMR19 Joaquim Leitão Paulo Gil Bernardete Ribeiro Alberto Cardoso Smart Home Energy Management Supported by Cloud Computing. 96-101 2019 exp.at https://doi.org/10.1109/EXPAT.2019.8876531 conf/expat/2019 db/conf/expat/expat2019.html#LeitaoGRC19 Daniel Azevedo Bernardete Ribeiro Alberto Cardoso Online Simulation of Methods to Predict the Remaining Useful Lifetime of Aircraft Components. 199-203 2019 exp.at https://doi.org/10.1109/EXPAT.2019.8876574 conf/expat/2019 db/conf/expat/expat2019.html#AzevedoRC19 Daniel Azevedo Bernardete Ribeiro Alberto Cardoso Web-based tool for predicting the Remaining Useful Lifetime of Aircraft Components. 231-232 2019 exp.at https://doi.org/10.1109/EXPAT.2019.8876503 conf/expat/2019 db/conf/expat/expat2019.html#AzevedoRC19a Jorge Sá Silva Pedro Lucas Filipe Araújo Catarina Silva 0001 Paulo Gil Alberto Cardoso Joel Arrais Bernardete Ribeiro Daniel Coutinho Pedro D. Salgueiro Luís Miguel Rato José Saias Vítor Nogueira A Hybrid Application for Real-Time Air Quality Monitoring. 270-271 2019 exp.at https://doi.org/10.1109/EXPAT.2019.8876498 conf/expat/2019 db/conf/expat/expat2019.html#0001LASGCARCSRS19 Jorge Sá Silva Pedro Lucas Filipe Araújo Catarina Silva 0001 Paulo Gil Alberto Cardoso Joel Arrais Bernardete Ribeiro Daniel Coutinho Pedro D. Salgueiro Luís Miguel Rato José Saias Vítor Nogueira An Online Platform For Real-Time Air Quality Monitoring. 320-325 2019 exp.at https://doi.org/10.1109/EXPAT.2019.8876486 conf/expat/2019 db/conf/expat/expat2019.html#SilvaLA0GCARCSR19 Joana Cósta Catarina Silva 0001 Bernardete Ribeiro Hierarchical Deep Learning Approach for Plant Disease Detection. 383-393 2019 IbPRIA (2) https://doi.org/10.1007/978-3-030-31321-0_33 conf/ibpria/2019-2 db/conf/ibpria/ibpria2019-2.html#Costa0R19 Nguyen Huu Phong Bernardete Ribeiro An Improvement for Capsule Networks Using Depthwise Separable Convolution. 521-530 2019 IbPRIA (1) https://doi.org/10.1007/978-3-030-31332-6_45 conf/ibpria/2019-1 db/conf/ibpria/ibpria2019-1.html#PhongR19 Nguyen Huu Phong Bernardete Ribeiro Advanced Capsule Networks via Context Awareness. 166-177 2019 ICANN (1) https://doi.org/10.1007/978-3-030-30487-4_14 conf/icann/2019-1 db/conf/icann/icann2019-1.html#PhongR19 Nelson R. C. Monteiro Bernardete Ribeiro Joel P. Arrais Deep Neural Network Architecture for Drug-Target Interaction Prediction. 804-809 2019 ICANN (Workshop) https://doi.org/10.1007/978-3-030-30493-5_76 conf/icann/2019w db/conf/icann/icann2019w.html#MonteiroRA19 Francisco Antunes Francisco C. Pereira Bernardete Ribeiro Directional Grid-Based Search for Simulation Metamodeling Using Active Learning. 32-46 2019 INTSYS https://doi.org/10.1007/978-3-030-38822-5_3 conf/intsys/2019 db/conf/intsys/intsys2019.html#AntunesPR19 Alberto Cardoso Joaquim Leitão Daniel Azevedo Paulo Gil Bernardete Ribeiro Application for Monitoring and Prediction of Energy and Water Consumption in Domestic Cyber-Physical Systems. 28-37 2019 REV https://doi.org/10.1007/978-3-030-23162-0_3 conf/rev/2019 db/conf/rev/rev2019.html#CardosoLAGR19 Aythami Morales Julian Fiérrez José Salvador Sánchez 0001 Bernardete Ribeiro Pattern Recognition and Image Analysis - 9th Iberian Conference, IbPRIA 2019, Madrid, Spain, July 1-4, 2019, Proceedings, Part I IbPRIA (1) Springer 2019 Lecture Notes in Computer Science 11867 978-3-030-31331-9 978-3-030-31332-6 https://doi.org/10.1007/978-3-030-31332-6 db/conf/ibpria/ibpria2019-1.html Aythami Morales Julian Fiérrez José Salvador Sánchez 0001 Bernardete Ribeiro Pattern Recognition and Image Analysis - 9th Iberian Conference, IbPRIA 2019, Madrid, Spain, July 1-4, 2019, Proceedings, Part II IbPRIA (2) Springer 2019 Lecture Notes in Computer Science 11868 978-3-030-31320-3 978-3-030-31321-0 https://doi.org/10.1007/978-3-030-31321-0 db/conf/ibpria/ibpria2019-2.html

Nguyen Huu Phong Bernardete Ribeiro Offline and Online Deep Learning for Image Recognition. 2019 abs/1903.07479 CoRR http://arxiv.org/abs/1903.07479 db/journals/corr/corr1903.html#abs-1903-07479

Nguyen Huu Phong Bernardete Ribeiro Advanced Capsule Networks via Context Awareness. 2019 abs/1903.07497 CoRR http://arxiv.org/abs/1903.07497 db/journals/corr/corr1903.html#abs-1903-07497

Filipe Assunção Nuno Lourenço 0002 Penousal Machado Bernardete Ribeiro Fast-DENSER++: Evolving Fully-Trained Deep Artificial Neural Networks. 2019 abs/1905.02969 CoRR http://arxiv.org/abs/1905.02969 db/journals/corr/corr1905.html#abs-1905-02969

Ning Chen 0003 Bernardete Ribeiro An Chen Chaosheng Tang Optimization of selective ensemble for cost-sensitive classification: An empirical study. 399-410 2018 12 Intell. Decis. Technol. 4 https://doi.org/10.3233/IDT-180344 db/journals/idt/idt12.html#ChenRCT18

Francisco Antunes Bernardete Ribeiro Francisco C. Pereira Rui Gomes Efficient Transport Simulation With Restricted Batch-Mode Active Learning. 3642-3651 2018 19 IEEE Trans. Intell. Transp. Syst. 11 https://doi.org/10.1109/TITS.2018.2842695 https://www.wikidata.org/entity/Q129412180 db/journals/tits/tits19.html#AntunesRPG18

Filipe Assunção David Sereno Nuno Lourenço 0002 Penousal Machado Bernardete Ribeiro Automatic Evolution of AutoEncoders for Compressed Representations. 1-8 2018 CEC https://doi.org/10.1109/CEC.2018.8477874 https://www.wikidata.org/entity/Q62042005 conf/cec/2018 db/conf/cec/cec2018.html#AssuncaoS0MR18 Mario Dib Bernardete Ribeiro Pedro A. Prates Model Prediction of Defects in Sheet Metal Forming Processes. 169-180 2018 EANN https://doi.org/10.1007/978-3-319-98204-5_14 conf/eann/2018 db/conf/eann/eann2018.html#DibRP18 Filipe Assunção Nuno Lourenço 0002 Penousal Machado Bernardete Ribeiro Using GP Is NEAT: Evolving Compositional Pattern Production Functions. 3-18 2018 EuroGP https://doi.org/10.1007/978-3-319-77553-1_1 https://www.wikidata.org/entity/Q62042017 conf/eurogp/2018 db/conf/eurogp/eurogp2018.html#Assuncao0MR18 Filipe Assunção Nuno Lourenço 0002 Penousal Machado Bernardete Ribeiro Evolving the Topology of Large Scale Deep Neural Networks. 19-34 2018 EuroGP https://doi.org/10.1007/978-3-319-77553-1_2 https://www.wikidata.org/entity/Q57814659 conf/eurogp/2018 db/conf/eurogp/eurogp2018.html#Assuncao0MR18a Francisco Antunes Bernardete Ribeiro Francisco C. Pereira Active Learning for Input Space Exploration in Traffic Simulators. 1-8 2018 IJCNN https://doi.org/10.1109/IJCNN.2018.8489302 conf/ijcnn/2018 db/conf/ijcnn/ijcnn2018.html#AntunesRP18 Joana Cósta Catarina Silva 0001 Mário Antunes 0002 Bernardete Ribeiro Adaptive Learning Models Evaluation in Twitter's Timelines. 1-8 2018 IJCNN https://doi.org/10.1109/IJCNN.2018.8489275 conf/ijcnn/2018 db/conf/ijcnn/ijcnn2018.html#Costa00R18 Rahul Sharma 0008 Bernardete Ribeiro Alexandre Miguel Pinto F. Amílcar Cardoso Perceiving Abstract Concepts Via Evolving Computational Cognitive Modeling. 1-8 2018 IJCNN https://doi.org/10.1109/IJCNN.2018.8489505 conf/ijcnn/2018 db/conf/ijcnn/ijcnn2018.html#SharmaRPC18 Alexandra Vieira Bernardete Ribeiro Heloisa Sobral A. Paulo Coimbra Manuel M. Crisóstomo João Paulo Ferreira Tao Liu 0006 Dynamic Human Gait VGRF Reference Profile Generation via Extreme Learning Machine. 1-7 2018 IJCNN https://doi.org/10.1109/IJCNN.2018.8489062 conf/ijcnn/2018 db/conf/ijcnn/ijcnn2018.html#VieiraRSCCFL18 Joana Cósta Catarina Silva 0001 Bernardete Ribeiro Learning in Twitter Streams with 280 Character Tweets. 177-184 2018 SoCPaR https://doi.org/10.1007/978-3-030-17065-3_18 conf/socpar/2018 db/conf/socpar/socpar2018.html#Costa0R18 Nelson Oliveira Joana Cósta Catarina Silva 0001 Bernardete Ribeiro Retweet Predictive Model for Predicting the Popularity of Tweets. 185-193 2018 SoCPaR https://doi.org/10.1007/978-3-030-17065-3_19 conf/socpar/2018 db/conf/socpar/socpar2018.html#OliveiraC0R18

Filipe Assunção Nuno Lourenço 0002 Penousal Machado Bernardete Ribeiro DENSER: Deep Evolutionary Network Structured Representation. 2018 abs/1801.01563 CoRR http://arxiv.org/abs/1801.01563 db/journals/corr/corr1801.html#abs-1801-01563

Filipe Rodrigues 0001 Mariana Lourenço Bernardete Ribeiro Francisco C. Pereira Learning Supervised Topic Models for Classification and Regression from Crowds. 2018 abs/1808.05902 CoRR http://arxiv.org/abs/1808.05902 db/journals/corr/corr1808.html#abs-1808-05902

Filipe Rodrigues 0001 Stanislav S. Borysov Bernardete Ribeiro Francisco C. Pereira A Bayesian Additive Model for Understanding Public Transport Usage in Special Events. 2018 abs/1812.08755 CoRR http://arxiv.org/abs/1812.08755 db/journals/corr/corr1812.html#abs-1812-08755

Francisco Antunes Bernardete Ribeiro Francisco C. Pereira Probabilistic modeling and visualization for bankruptcy prediction. 831-843 2017 60 Appl. Soft Comput. https://doi.org/10.1016/j.asoc.2017.06.043 https://www.wikidata.org/entity/Q40337616 db/journals/asc/asc60.html#AntunesRP17

Joana Cósta Catarina Silva 0001 Mário Antunes 0002 Bernardete Ribeiro Adaptive learning for dynamic environments: A comparative approach. 336-345 2017 65 Eng. Appl. Artif. Intell. https://doi.org/10.1016/j.engappai.2017.08.004 db/journals/eaai/eaai65.html#CostaSAR17

Bernardete Ribeiro Ning Chen 0003 Financial credit risk assessment via learning-based hashing. 177-186 2017 11 Intell. Decis. Technol. 2 https://doi.org/10.3233/IDT-170286 db/journals/idt/idt11.html#RibeiroC17

Ali AghaeiRad Ning Chen 0003 Bernardete Ribeiro Improve credit scoring using transfer of learned knowledge from self-organizing map. 1329-1342 2017 28 Neural Comput. Appl. 6 https://doi.org/10.1007/s00521-016-2567-2 db/journals/nca/nca28.html#AghaeiRadCR17

Filipe Rodrigues 0001 Stanislav Borysov Bernardete Ribeiro Francisco C. Pereira A Bayesian Additive Model for Understanding Public Transport Usage in Special Events. 2113-2126 2017 39 IEEE Trans. Pattern Anal. Mach. Intell. 11 https://doi.org/10.1109/TPAMI.2016.2635136 http://doi.ieeecomputersociety.org/10.1109/TPAMI.2016.2635136 https://www.wikidata.org/entity/Q39004416 db/journals/pami/pami39.html#RodriguesBRP17

Filipe Rodrigues 0001 Mariana Lourenço Bernardete Ribeiro Francisco C. Pereira Learning Supervised Topic Models for Classification and Regression from Crowds. 2409-2422 2017 39 IEEE Trans. Pattern Anal. Mach. Intell. 12 https://doi.org/10.1109/TPAMI.2017.2648786 http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2648786 https://www.wikidata.org/entity/Q48005865 db/journals/pami/pami39.html#RodriguesLRP17

Sirvan Khalighi Bernardete Ribeiro Urbano Nunes 0001 Importance Weighted Import Vector Machine for Unsupervised Domain Adaptation. 3280-3292 2017 47 IEEE Trans. Cybern. 10 https://doi.org/10.1109/TCYB.2016.2616119 https://www.wikidata.org/entity/Q47260203 db/journals/tcyb/tcyb47.html#KhalighiRN17

Filipe Assunção Nuno Lourenço 0002 Penousal Machado Bernardete Ribeiro Automatic generation of neural networks with structured Grammatical Evolution. 1557-1564 2017 CEC https://doi.org/10.1109/CEC.2017.7969488 https://www.wikidata.org/entity/Q57814686 conf/cec/2017 db/conf/cec/cec2017.html#AssuncaoLMR17 José Silva Bernardete Ribeiro Andrew H. Sung Finding the Critical Sampling of Big Datasets. 355-360 2017 Conf. Computing Frontiers https://doi.org/10.1145/3075564.3078886 conf/cf/2017 db/conf/cf/cf2017.html#SilvaRS17 Nguyen Huu Phong Bernardete Ribeiro Offline and online deep learning for image recognition. 171-175 2017 exp.at https://doi.org/10.1109/EXPAT.2017.7984421 conf/expat/2017 db/conf/expat/expat2017.html#PhongR17 Joana Cósta Catarina Silva 0001 Mário Antunes 0002 Bernardete Ribeiro Performance Metrics for Model Fusion in Twitter Data Drifts. 13-21 2017 IbPRIA https://doi.org/10.1007/978-3-319-58838-4_2 conf/ibpria/2017 db/conf/ibpria/ibpria2017.html#CostaS0R17 Noel Lopes Bernardete Ribeiro Novel Trends in Scaling Up Machine Learning Algorithms. 632-636 2017 ICMLA https://doi.org/10.1109/ICMLA.2017.00-90 conf/icmla/2017 db/conf/icmla/icmla2017.html#LopesR17 Jorge Luis Rivero Pérez Bernardete Ribeiro Ning Chen 0003 Fátima Silva Leite A Grassmannian Approach to Zero-Shot Learning for Network Intrusion Detection. 565-575 2017 ICONIP (1) https://doi.org/10.1007/978-3-319-70087-8_59 conf/iconip/2017-1 db/conf/iconip/iconip2017-1.html#PerezRCL17

Jorge Luis Rivero Pérez Bernardete Ribeiro Kadir Hector Ortiz A Comparison of Algorithms for Intrusion Detection on Batch and Data Stream Environments. 2017 abs/1701.00893 CoRR http://arxiv.org/abs/1701.00893 db/journals/corr/corr1701.html#PerezRO17

Filipe Assunção Nuno Lourenço 0002 Penousal Machado Bernardete Ribeiro Towards the Evolution of Multi-Layered Neural Networks: A Dynamic Structured Grammatical Evolution Approach. 2017 abs/1706.08493 CoRR http://arxiv.org/abs/1706.08493 db/journals/corr/corr1706.html#AssuncaoLMR17

Jorge Luis Rivero Pérez Bernardete Ribeiro Ning Chen 0003 Fátima Silva Leite A Grassmannian Approach to Zero-Shot Learning for Network Intrusion Detection. 2017 abs/1709.07984 CoRR http://arxiv.org/abs/1709.07984 db/journals/corr/corr1709.html#abs-1709-07984

Ning Chen 0003 Bernardete Ribeiro An Chen Financial credit risk assessment: a recent review. 1-23 2016 45 Artif. Intell. Rev. 1 https://doi.org/10.1007/s10462-015-9434-x db/journals/air/air45.html#ChenRC16

Ning Chen 0003 An Chen Bernardete Ribeiro Towards tangible benefits of corporate failure prediction with business sector: A comparative study. 431-442 2016 10 Intell. Decis. Technol. 4 https://doi.org/10.3233/IDT-160269 db/journals/idt/idt10.html#ChenCR16

Ana Laranjeira Xavier Frazão André Pimentel Bernardete Ribeiro How Deep Can We Rely on Emotion Recognition. 511-520 2016 CIARP https://doi.org/10.1007/978-3-319-52277-7_62 conf/ciarp/2016 db/conf/ciarp/ciarp2016.html#LaranjeiraFPR16 Noel Lopes Bernardete Ribeiro Trading off Distance Metrics vs Accuracy in Incremental Learning Algorithms. 530-538 2016 CIARP https://doi.org/10.1007/978-3-319-52277-7_64 conf/ciarp/2016 db/conf/ciarp/ciarp2016.html#LopesR16 Joana Cósta Catarina Silva 0001 Mário Antunes 0002 Bernardete Ribeiro Choice of Best Samples for Building Ensembles in Dynamic Environments. 35-47 2016 EANN https://doi.org/10.1007/978-3-319-44188-7_3 conf/eann/2016 db/conf/eann/eann2016.html#CostaSAR16 Gonçalo Oliveira Xavier Frazão André Pimentel Bernardete Ribeiro Automatic graphic logo detection via Fast Region-based Convolutional Networks. 985-991 2016 IJCNN https://doi.org/10.1109/IJCNN.2016.7727305 conf/ijcnn/2016 db/conf/ijcnn/ijcnn2016.html#OliveiraFPR16 Jorge Luis Rivero Pérez Bernardete Ribeiro Carlos Morell Pérez Mahalanobis distance metric learning algorithm for instance-based data stream classification. 1857-1862 2016 IJCNN https://doi.org/10.1109/IJCNN.2016.7727425 conf/ijcnn/2016 db/conf/ijcnn/ijcnn2016.html#PerezRP16 Jorge Luis Rivero Pérez Bernardete Ribeiro Attribute Learning for Network Intrusion Detection. 39-49 2016 INNS Conference on Big Data https://doi.org/10.1007/978-3-319-47898-2_5 conf/inns/2016 db/conf/inns/inns2016.html#PerezR16 Andrew H. Sung Bernardete Ribeiro Qingzhong Liu Sampling and Evaluating the Big Data for Knowledge Discovery. 378-382 2016 IoTBD https://doi.org/10.5220/0005932703780382 conf/iotbd/2016 db/conf/iotbd/iotbd2016.html#SungRL16 Catarina Silva 0001 Bernardete Ribeiro Visualization of Individual Ensemble Classifier Contributions. 633-642 2016 IPMU (2) https://doi.org/10.1007/978-3-319-40581-0_51 conf/ipmu/2016-2 db/conf/ipmu/ipmu2016-2.html#SilvaR16 Catarina Silva 0001 Bernardete Ribeiro Multiclass Ensemble of One-against-all SVM Classifiers. 531-539 2016 ISNN https://doi.org/10.1007/978-3-319-40663-3_61 conf/isnn/2016 db/conf/isnn/isnn2016.html#SilvaR16

Jorge Luis Rivero Pérez Bernardete Ribeiro Carlos Morell Pérez Mahalanobis Distance Metric Learning Algorithm for Instance-based Data Stream Classification. 2016 abs/1604.04879 CoRR http://arxiv.org/abs/1604.04879 db/journals/corr/corr1604.html#PerezRP16

Gonçalo Oliveira Xavier Frazão André Pimentel Bernardete Ribeiro Automatic Graphic Logo Detection via Fast Region-based Convolutional Networks. 2016 abs/1604.06083 CoRR http://arxiv.org/abs/1604.06083 db/journals/corr/corr1604.html#OliveiraFPR16

Alexander Kovacec Bernardete Ribeiro Convex Hull Calculations: a Matlab Implementation and Correctness Proofs for the lrs-Algorithm. 2016 abs/1604.06112 CoRR http://arxiv.org/abs/1604.06112 db/journals/corr/corr1604.html#KovacecR16

Jorge Luis Rivero Pérez Bernardete Ribeiro Attribute Learning for Network Intrusion Detection. 2016 abs/1607.08634 CoRR http://arxiv.org/abs/1607.08634 db/journals/corr/corr1607.html#PerezR16

Ning Chen 0003 Bernardete Ribeiro An Chen Comparative study of classifier ensembles for cost-sensitive credit risk assessment. 127-144 2015 19 Intell. Data Anal. 1 https://doi.org/10.3233/IDA-140700 https://www.wikidata.org/entity/Q129069475 db/journals/ida/ida19.html#ChenRC15

Bernardete Ribeiro Ning Chen 0003 Aggregated local models via subspace clustering. 153-165 2015 9 Intell. Decis. Technol. 2 https://doi.org/10.3233/IDT-140213 db/journals/idt/idt9.html#RibeiroC15

Marisa B. Figueiredo Bernardete Ribeiro Ana de Almeida 0002 Analysis of trends in seasonal electrical energy consumption via non-negative tensor factorization. 318-327 2015 170 Neurocomputing https://doi.org/10.1016/j.neucom.2015.03.088 db/journals/ijon/ijon170.html#FigueiredoRA15

Ali AghaeiRad Bernardete Ribeiro Credit Prediction Using Transfer of Learning via Self-Organizing Maps to Neural Networks. 358-365 2015 EANN https://doi.org/10.1007/978-3-319-23983-5_33 conf/eann/2015c db/conf/eann/eann2015c.html#AghaeiRadR15 Bernardete Ribeiro Ning Chen 0003 Alexander Kovacec A Structural Pattern Mining Approach for Credit Risk Assessment. 73-84 2015 HAIS https://doi.org/10.1007/978-3-319-19644-2_7 conf/hais/2015 db/conf/hais/hais2015.html#RibeiroCK15 Filipe Rodrigues 0001 Bernardete Ribeiro Mariana Lourenço Francisco C. Pereira Learning Supervised Topic Models from Crowds. 160-168 2015 HCOMP https://doi.org/10.1609/hcomp.v3i1.13221 conf/hcomp/2015 db/conf/hcomp/hcomp2015.html#RodriguesRLP15 Noel Lopes Bernardete Ribeiro On the Impact of Distance Metrics in Instance-Based Learning Algorithms. 48-56 2015 IbPRIA https://doi.org/10.1007/978-3-319-19390-8_6 conf/ibpria/2015 db/conf/ibpria/ibpria2015.html#LopesR15 Joana Cósta Catarina Silva 0001 Mário Antunes 0002 Bernardete Ribeiro DOTS: Drift Oriented Tool System. 615-623 2015 ICONIP (4) https://doi.org/10.1007/978-3-319-26561-2_72 conf/iconip/2015-4 db/conf/iconip/iconip2015-4.html#CostaSAR15 Bernardete Ribeiro Andrew H. Sung Divya Suryakumar Ram B. Basnet The Critical Feature Dimension and Critical Sampling Problems. 360-366 2015 ICPRAM (1) conf/icpram/2015-1 db/conf/icpram/icpram2015-1.html#RibeiroSSB15 Joana Cósta Catarina Silva 0001 Mário Antunes 0002 Bernardete Ribeiro The impact of longstanding messages in micro-blogging classification. 1-8 2015 IJCNN https://doi.org/10.1109/IJCNN.2015.7280731 conf/ijcnn/2015 db/conf/ijcnn/ijcnn2015.html#CostaSAR15 Bernardete Ribeiro Noel Lopes Catarina Silva 0001 Learning the hash code with generalised regression neural networks for handwritten signature biometric data retrieval. 1-6 2015 IJCNN https://doi.org/10.1109/IJCNN.2015.7280707 conf/ijcnn/2015 db/conf/ijcnn/ijcnn2015.html#RibeiroLS15 Catarina Silva 0001 Mário Antunes 0002 Joana Cósta Bernardete Ribeiro Active Manifold Learning with Twitter Big Data. 208-215 2015 INNS Conference on Big Data https://doi.org/10.1016/j.procs.2015.07.296 conf/inns-wc/2015bd db/conf/inns-wc/innsbd2015.html#SilvaACR15

Filipe Rodrigues 0001 Francisco C. Pereira Bernardete Ribeiro Sequence labeling with multiple annotators. 165-181 2014 95 Mach. Learn. 2 https://doi.org/10.1007/s10994-013-5411-2 https://www.wikidata.org/entity/Q61906214 db/journals/ml/ml95.html#RodriguesPR14

Noel Lopes Bernardete Ribeiro Towards adaptive learning with improved convergence of deep belief networks on graphics processing units. 114-127 2014 47 Pattern Recognit. 1 https://doi.org/10.1016/j.patcog.2013.06.029 db/journals/pr/pr47.html#LopesR14

Marisa B. Figueiredo Bernardete Ribeiro Ana de Almeida 0002 Electrical Signal Source Separation Via Nonnegative Tensor Factorization Using On Site Measurements in a Smart Home. 364-373 2014 63 IEEE Trans. Instrum. Meas. 2 https://doi.org/10.1109/TIM.2013.2278596 db/journals/tim/tim63.html#FigueiredoRA14

Filipe Rodrigues 0001 Francisco C. Pereira Bernardete Ribeiro Gaussian Process Classification and Active Learning with Multiple Annotators. 433-441 2014 ICML http://proceedings.mlr.press/v32/rodrigues14.html conf/icml/2014 db/conf/icml/icml2014.html#RodriguesPR14 Joana Cósta Catarina Silva 0001 Mário Antunes 0002 Bernardete Ribeiro Concept Drift Awareness in Twitter Streams. 294-299 2014 ICMLA https://doi.org/10.1109/ICMLA.2014.53 conf/icmla/2014 db/conf/icmla/icmla2014.html#CostaSAR14 Bernardete Ribeiro Ning Chen 0003 Hashing for Financial Credit Risk Analysis. 395-403 2014 ICONIP (2) https://doi.org/10.1007/978-3-319-12640-1_48 conf/iconip/2014-2 db/conf/iconip/iconip2014-2.html#RibeiroC14 Qingzhong Liu Bernardete Ribeiro Andrew H. Sung Divya Suryakumar Mining the Big Data: The Critical Feature Dimension Problem. 499-504 2014 IIAI-AAI https://doi.org/10.1109/IIAI-AAI.2014.105 https://doi.ieeecomputersociety.org/10.1109/IIAI-AAI.2014.105 conf/iiaiaai/2014 db/conf/iiaiaai/iiaiaai2014.html#LiuRSS14 Marisa B. Figueiredo Bernardete Ribeiro Ana Maria de Almeida 0002 Exploring the performance of non-negative multi-way factorization for household electrical seasonal consumption disaggregation. 899-906 2014 IJCNN https://doi.org/10.1109/IJCNN.2014.6889809 conf/ijcnn/2014 db/conf/ijcnn/ijcnn2014.html#FigueiredoRA14 Bernardete Ribeiro Noel Lopes João Gonçalves Signature identification via efficient feature selection and GPU-based SVM classifier. 1138-1145 2014 IJCNN https://doi.org/10.1109/IJCNN.2014.6889822 conf/ijcnn/2014 db/conf/ijcnn/ijcnn2014.html#RibeiroLG14 Pedro Geadas Ana Alves 0001 Bernardete Ribeiro Ensemble learning for keyword extraction from event descriptions. 2669-2676 2014 IJCNN https://doi.org/10.1109/IJCNN.2014.6889911 conf/ijcnn/2014 db/conf/ijcnn/ijcnn2014.html#GeadasAR14

Ning Chen 0003 Bernardete Ribeiro Armando Vieira An Chen Clustering and visualization of bankruptcy trajectory using self-organizing map. 385-393 2013 40 Expert Syst. Appl. 1 https://doi.org/10.1016/j.eswa.2012.07.047 db/journals/eswa/eswa40.html#ChenRVC13

Joana Cósta Catarina Silva 0001 Mário Antunes 0002 Bernardete Ribeiro Customized crowds and active learning to improve classification. 7212-7219 2013 40 Expert Syst. Appl. 18 https://doi.org/10.1016/j.eswa.2013.06.072 db/journals/eswa/eswa40.html#CostaSAR13

Ning Chen 0003 An Chen Bernardete Ribeiro Influence of class distribution on cost-sensitive learning: A case study of bankruptcy analysis. 423-437 2013 17 Intell. Data Anal. 3 https://doi.org/10.3233/IDA-130587 https://www.wikidata.org/entity/Q58005262 db/journals/ida/ida17.html#ChenCR13

Filipe Rodrigues 0001 Francisco C. Pereira Bernardete Ribeiro Learning from multiple annotators: Distinguishing good from random labelers. 1428-1436 2013 34 Pattern Recognit. Lett. 12 https://doi.org/10.1016/j.patrec.2013.05.012 https://www.wikidata.org/entity/Q61906220 db/journals/prl/prl34.html#RodriguesPR13

Oswaldo Ludwig Urbano Nunes 0001 Bernardete Ribeiro Cristiano Premebida Improving the Generalization Capacity of Cascade Classifiers. 2135-2146 2013 43 IEEE Trans. Cybern. 6 https://doi.org/10.1109/TCYB.2013.2240678 https://www.wikidata.org/entity/Q45058639 db/journals/tcyb/tcyb43.html#LudwigNRP13

Bernardete Ribeiro Noel Lopes Extreme Learning Classifier with Deep Concepts. 182-189 2013 CIARP (1) https://doi.org/10.1007/978-3-642-41822-8_23 conf/ciarp/2013-1 db/conf/ciarp/ciarp2013-1.html#RibeiroL13 Joana Cósta Catarina Silva 0001 Mário Antunes 0002 Bernardete Ribeiro Defining Semantic Meta-hashtags for Twitter Classification. 226-235 2013 ICANNGA https://doi.org/10.1007/978-3-642-37213-1_24 conf/icannga/2013 db/conf/icannga/icannga2013.html#CostaSAR13 Ning Chen 0003 Bernardete Ribeiro A Consensus Approach for Combining Multiple Classifiers in Cost-Sensitive Bankruptcy Prediction. 266-276 2013 ICANNGA https://doi.org/10.1007/978-3-642-37213-1_28 conf/icannga/2013 db/conf/icannga/icannga2013.html#ChenR13 Marisa B. Figueiredo Bernardete Ribeiro Ana Maria de Almeida 0002 On the Regularization Parameter Selection for Sparse Code Learning in Electrical Source Separation. 277-286 2013 ICANNGA https://doi.org/10.1007/978-3-642-37213-1_29 conf/icannga/2013 db/conf/icannga/icannga2013.html#FigueiredoRA13 Joana Cósta Catarina Silva 0001 Bernardete Ribeiro Mário Antunes 0002 CrowdTargeting: Making Crowds More Personal. 21-26 2013 SMAP https://doi.org/10.1109/SMAP.2013.20 conf/smap/2013 db/conf/smap/smap2013.html#CostaSRA13

Bernardete Ribeiro Catarina Silva 0001 Ning Chen 0003 Armando Vieira João Carvalho das Neves Enhanced default risk models with SVM+. 10140-10152 2012 39 Expert Syst. Appl. 11 https://doi.org/10.1016/j.eswa.2012.02.142 db/journals/eswa/eswa39.html#RibeiroSCVN12

Noel Lopes Bernardete Ribeiro Towards a hybrid NMF-based neural approach for face recognition on GPUs. 138-155 2012 4 Int. J. Data Min. Model. Manag. 2 https://doi.org/10.1504/IJDMMM.2012.046807 db/journals/ijdmmm/ijdmmm4.html#LopesR12

Marisa B. Figueiredo Ana de Almeida 0002 Bernardete Ribeiro Home electrical signal disaggregation for non-intrusive load monitoring (NILM) systems. 66-73 2012 96 Neurocomputing https://doi.org/10.1016/j.neucom.2011.10.037 db/journals/ijon/ijon96.html#FigueiredoAR12

Noel Lopes Bernardete Ribeiro Improving Convergence of Restricted Boltzmann Machines via a Learning Adaptive Step Size. 511-518 2012 CIARP https://doi.org/10.1007/978-3-642-33275-3_63 conf/ciarp/2012 db/conf/ciarp/ciarp2012.html#LopesR12 Bruno Direito César Alexandre Teixeira Bernardete Ribeiro Miguel Castelo-Branco António Dourado Space time frequency (STF) code tensor for the characterization of the epileptic preictal stage. 621-624 2012 EMBC https://doi.org/10.1109/EMBC.2012.6346008 https://www.wikidata.org/entity/Q51272010 conf/embc/2012 db/conf/embc/embc2012.html#DireitoTRCD12 Noel Lopes Daniel Correia Carlos Pereira Bernardete Ribeiro António Dourado An Incremental Hypersphere Learning Framework for Protein Membership Prediction. 429-439 2012 HAIS (1) https://doi.org/10.1007/978-3-642-28942-2_39 conf/hais/2012-1 db/conf/hais/hais2012-1.html#LopesCPRD12 Bernardete Ribeiro Ning Chen 0003 Biclustering and Subspace Learning with Regularization for Financial Risk Analysis. 228-235 2012 ICONIP (3) https://doi.org/10.1007/978-3-642-34487-9_28 conf/iconip/2012-3 db/conf/iconip/iconip2012-3.html#RibeiroC12 João Gonçalves Noel Lopes Bernardete Ribeiro Multi-threaded Support Vector Machines for Pattern Recognition. 616-623 2012 ICONIP (2) https://doi.org/10.1007/978-3-642-34481-7_75 conf/iconip/2012-2 db/conf/iconip/iconip2012-2.html#GoncalvesLR12 Armando Vieira Bernardete Ribeiro Ning Chen 0003 Credit Scoring for SME Using a Manifold Supervised Learning Algorithm. 763-770 2012 IDEAL https://doi.org/10.1007/978-3-642-32639-4_90 conf/ideal/2012 db/conf/ideal/ideal2012.html#VieiraRC12 Noel Lopes Bernardete Ribeiro João Gonçalves Restricted Boltzmann Machines and Deep Belief Networks on multi-core processors. 1-7 2012 IJCNN https://doi.org/10.1109/IJCNN.2012.6252431 conf/ijcnn/2012 db/conf/ijcnn/ijcnn2012.html#LopesRG12

Ning Chen 0003 Bernardete Ribeiro Armando Vieira João M. M. Duarte João Carvalho das Neves A genetic algorithm-based approach to cost-sensitive bankruptcy prediction. 12939-12945 2011 38 Expert Syst. Appl. 10 https://doi.org/10.1016/j.eswa.2011.04.090 https://www.wikidata.org/entity/Q58005258 db/journals/eswa/eswa38.html#ChenRVDN11

Ning Chen 0003 Armando Vieira Bernardete Ribeiro João M. M. Duarte João Carvalho das Neves A stable credit rating model based on learning vector quantization. 237-250 2011 15 Intell. Data Anal. 2 https://doi.org/10.3233/IDA-2010-0465 https://www.wikidata.org/entity/Q129069181 db/journals/ida/ida15.html#ChenVRDN11

Noel Lopes Bernardete Ribeiro An Evaluation of Multiple Feed-Forward Networks on GPUs. 31-47 2011 21 Int. J. Neural Syst. 1 https://doi.org/10.1142/S0129065711002638 https://www.wikidata.org/entity/Q45962256 db/journals/ijns/ijns21.html#LopesR11

Bernardete Ribeiro Ivo Gonçalves Sérgio Santos Alexander Kovacec Deep Learning Networks for Off-Line Handwritten Signature Recognition. 523-532 2011 CIARP https://doi.org/10.1007/978-3-642-25085-9_62 conf/ciarp/2011 db/conf/ciarp/ciarp2011.html#RibeiroGSK11 Ning Chen 0003 Bernardete Ribeiro Armando Vieira Bankruptcy Trajectory Analysis on French Companies Using Self-Organizing Map. 407-417 2011 EPIA https://doi.org/10.1007/978-3-642-24769-9_30 conf/epia/2011 db/conf/epia/epia2011.html#ChenRV11 Mengyu Qiao Andrew H. Sung Qingzhong Liu Bernardete Ribeiro Locating Information-hiding in MP3 Audio. 504-507 2011 ICAART (1) conf/icaart/2011-1 db/conf/icaart/icaart2011-1.html#QiaoSLR11 Marisa B. Figueiredo Ana de Almeida 0002 Bernardete Ribeiro An Experimental Study on Electrical Signature Identification of Non-Intrusive Load Monitoring (NILM) Systems. 31-40 2011 ICANNGA (2) https://doi.org/10.1007/978-3-642-20267-4_4 conf/icannga/2011-2 db/conf/icannga/icannga2011-2.html#FigueiredoAR11 Bernardete Ribeiro Ricardo Quintas Noel Lopes Evaluation of a Resource Allocating Network with Long Term Memory Using GPU. 41-50 2011 ICANNGA (2) https://doi.org/10.1007/978-3-642-20267-4_5 conf/icannga/2011-2 db/conf/icannga/icannga2011-2.html#RibeiroQL11 Noel Lopes Bernardete Ribeiro A Robust Learning Model for Dealing with Missing Values in Many-Core Architectures. 108-117 2011 ICANNGA (2) https://doi.org/10.1007/978-3-642-20267-4_12 conf/icannga/2011-2 db/conf/icannga/icannga2011-2.html#LopesR11 Mário Antunes 0002 Catarina Silva 0001 Bernardete Ribeiro Manuel Eduardo Correia A Hybrid AIS-SVM Ensemble Approach for Text Classification. 342-352 2011 ICANNGA (2) https://doi.org/10.1007/978-3-642-20267-4_36 conf/icannga/2011-2 db/conf/icannga/icannga2011-2.html#AntunesSRC11 Noel Lopes Bernardete Ribeiro An Incremental Class Boundary Preserving Hypersphere Classifier. 690-699 2011 ICONIP (2) https://doi.org/10.1007/978-3-642-24958-7_80 conf/iconip/2011-2 db/conf/iconip/iconip2011-2.html#LopesR11 Bernardete Ribeiro Noel Lopes Deep Belief Networks for Financial Prediction. 766-773 2011 ICONIP (3) https://doi.org/10.1007/978-3-642-24965-5_86 conf/iconip/2011-3 db/conf/iconip/iconip2011-3.html#RibeiroL11 Joana Cósta Catarina Silva 0001 Mário Antunes 0002 Bernardete Ribeiro The Importance of Precision in Humour Classification. 271-278 2011 IDEAL https://doi.org/10.1007/978-3-642-23878-9_33 conf/ideal/2011 db/conf/ideal/ideal2011.html#CostaSAR11 Catarina Silva 0001 Bernardete Ribeiro Purging False Negatives in Cancer Diagnosis Using Incremental Active Learning. 394-402 2011 IDEAL https://doi.org/10.1007/978-3-642-23878-9_47 conf/ideal/2011 db/conf/ideal/ideal2011.html#SilvaR11 Bernardete Ribeiro Ning Chen 0003 Graph weighted subspace learning models in bankruptcy. 2055-2061 2011 IJCNN https://doi.org/10.1109/IJCNN.2011.6033479 conf/ijcnn/2011 db/conf/ijcnn/ijcnn2011.html#RibeiroC11 Noel Lopes Bernardete Ribeiro A fast optimized semi-supervised non-negative Matrix Factorization algorithm. 2495-2500 2011 IJCNN https://doi.org/10.1109/IJCNN.2011.6033543 conf/ijcnn/2011 db/conf/ijcnn/ijcnn2011.html#LopesR11 Marisa B. Figueiredo Ana de Almeida 0002 Bernardete Ribeiro Non-intrusive Residential Electrical Consumption Traces. 51-58 2011 ISAmI https://doi.org/10.1007/978-3-642-19937-0_7 conf/isami/2011 db/conf/isami/isami2011.html#FigueiredoAR11 Joana Cósta Catarina Silva 0001 Mário Antunes 0002 Bernardete Ribeiro On using crowdsourcing and active learning to improve classification performance. 469-474 2011 ISDA https://doi.org/10.1109/ISDA.2011.6121700 https://www.wikidata.org/entity/Q66709590 conf/isda/2011 db/conf/isda/isda2011.html#CostaSAR11 Marisa B. Figueiredo Ana de Almeida 0002 Bernardete Ribeiro Smart home: A novel model for denoising an electrical signal. 784-789 2011 ISDA https://doi.org/10.1109/ISDA.2011.6121752 conf/isda/2011 db/conf/isda/isda2011.html#FigueiredoAR11 Joana Cósta Catarina Silva 0001 Mário Antunes 0002 Bernardete Ribeiro Get Your Jokes Right: Ask the Crowd. 178-185 2011 MEDI https://doi.org/10.1007/978-3-642-24443-8_20 conf/medi/2011 db/conf/medi/medi2011.html#CostaSAR11 Marisa B. Figueiredo Ana de Almeida 0002 Bernardete Ribeiro Wavelet Decomposition and Singular Spectrum Analysis for electrical signal denoising. 3329-3334 2011 SMC https://doi.org/10.1109/ICSMC.2011.6084183 conf/smc/2011 db/conf/smc/smc2011.html#FigueiredoAR11 Catarina Silva 0001 Bernardete Ribeiro Inductive Inference for Large Scale Text Classification: Kernel Approaches and Techniques 255 2010 https://doi.org/10.1007/978-3-642-04533-2 978-3-642-04532-5 Studies in Computational Intelligence Springer

António Gaspar-Cunha Fernando Mendes João M. M. Duarte Armando Vieira Bernardete Ribeiro André Ribeiro João Carvalho das Neves Feature Selection for Bankruptcy Prediction: A Multi-Objective Optimization Approach. 71-91 2010 1 Int. J. Nat. Comput. Res. 2 https://doi.org/10.4018/jncr.2010040105 db/journals/ijncr/ijncr1.html#Gaspar-CunhaMDVRRN10

Qingzhong Liu Andrew H. Sung Mengyu Qiao Zhongxue Chen Bernardete Ribeiro An improved approach to steganalysis of JPEG images. 1643-1655 2010 180 Inf. Sci. 9 https://doi.org/10.1016/j.ins.2010.01.001 db/journals/isci/isci180.html#LiuSQCR10

Catarina Silva 0001 Uros Lotric Bernardete Ribeiro Andrej Dobnikar Distributed Text Classification With an Ensemble Kernel-Based Learning Approach. 287-297 2010 40 IEEE Trans. Syst. Man Cybern. Part C 3 https://doi.org/10.1109/TSMCC.2009.2038280 db/journals/tsmc/tsmcc40.html#SilvaLRD10

Noel Lopes Bernardete Ribeiro A Hybrid Face Recognition Approach Using GPUMLib. 96-103 2010 CIARP https://doi.org/10.1007/978-3-642-16687-7_17 conf/ciarp/2010 db/conf/ciarp/ciarp2010.html#LopesR10 Noel Lopes Bernardete Ribeiro Ricardo Quintas GPUMLib: A new Library to combine Machine Learning algorithms with Graphics Processing Units. 229-232 2010 HIS https://doi.org/10.1109/HIS.2010.5600028 conf/his/2010 db/conf/his/his2010.html#LopesRQ10 Noel Lopes Bernardete Ribeiro Stochastic GPU-based Multithread Implementation of Multiple Back-propagation. 271-276 2010 ICAART (1) conf/icaart/2010-1 db/conf/icaart/icaart2010-1.html#LopesR10 Ning Chen 0003 Bernardete Ribeiro Armando Vieira João M. M. Duarte João Carvalho das Neves Weighted Learning Vector Quantization to Cost-Sensitive Learning. 277-281 2010 ICANN (3) https://doi.org/10.1007/978-3-642-15825-4_33 conf/icann/2010-3 db/conf/icann/icann2010-3.html#ChenRVDN10 Marisa B. Figueiredo Ana de Almeida 0002 Bernardete Ribeiro António Martins Extracting Features from an Electrical Signal of a Non-Intrusive Load Monitoring System. 210-217 2010 IDEAL https://doi.org/10.1007/978-3-642-15381-5_26 conf/ideal/2010 db/conf/ideal/ideal2010.html#FigueiredoARM10 Noel Lopes Bernardete Ribeiro Non-negative Matrix Factorization Implementation Using Graphic Processing Units. 275-283 2010 IDEAL https://doi.org/10.1007/978-3-642-15381-5_34 conf/ideal/2010 db/conf/ideal/ideal2010.html#LopesR10 Noel Lopes Bernardete Ribeiro A strategy for dealing with missing values by using selective activation neurons in a multi-topology framework. 1-5 2010 IJCNN https://doi.org/10.1109/IJCNN.2010.5596750 conf/ijcnn/2010 db/conf/ijcnn/ijcnn2010.html#LopesR10 Bernardete Ribeiro Noel Lopes Catarina Silva 0001 High-performance bankruptcy prediction model using Graphics Processing Units. 1-7 2010 IJCNN https://doi.org/10.1109/IJCNN.2010.5596711 conf/ijcnn/2010 db/conf/ijcnn/ijcnn2010.html#RibeiroLS10 Bernardete Ribeiro Catarina Silva 0001 Armando Vieira António Gaspar-Cunha João Carvalho das Neves Financial distress model prediction using SVM+. 1-7 2010 IJCNN https://doi.org/10.1109/IJCNN.2010.5596729 conf/ijcnn/2010 db/conf/ijcnn/ijcnn2010.html#RibeiroSVGN10 Catarina Silva 0001 Bernardete Ribeiro Noel Lopes Improving recall values in breast cancer diagnosis with Incremental Background Knowledge. 1-6 2010 IJCNN https://doi.org/10.1109/IJCNN.2010.5596641 conf/ijcnn/2010 db/conf/ijcnn/ijcnn2010.html#SilvaRL10 António Gaspar-Cunha Fernando Mendes João M. M. Duarte Armando Vieira Bernardete Ribeiro André Ribeiro João Carvalho das Neves Multi-Objective Evolutionary Algorithms for Feature Selection: Application in Bankruptcy Prediction. 319-328 2010 SEAL https://doi.org/10.1007/978-3-642-17298-4_33 conf/seal/2010 db/conf/seal/seal2010.html#Gaspar-CunhaMDVRRN10

João Paulo Ferreira Manuel Marques Crisóstomo A. Paulo Coimbra Bernardete Ribeiro Control of a Biped Robot With Support Vector Regression in Sagittal Plane. 3167-3176 2009 58 IEEE Trans. Instrum. Meas. 9 https://doi.org/10.1109/TIM.2009.2017148 https://www.wikidata.org/entity/Q56425404 db/journals/tim/tim58.html#FerreiraCCR09

Qingzhong Liu Andrew H. Sung Bernardete Ribeiro Mengyu Qiao Classification of Mass Spectrometry Data - Using Manifold and Supervised Distance Metric Learning. 396-401 2009 BIOSIGNALS conf/biostec/2009bs db/conf/biostec/biosignals2009.html#LiuSRQ09 Noel Lopes Bernardete Ribeiro Fast Pattern Classification of Ventricular Arrhythmias Using Graphics Processing Units. 603-610 2009 CIARP https://doi.org/10.1007/978-3-642-10268-4_71 conf/ciarp/2009 db/conf/ciarp/ciarp2009.html#LopesR09 Ning Chen 0003 Armando Vieira João M. M. Duarte Bernardete Ribeiro João Carvalho das Neves Cost-Sensitive Learning Vector Quantization for Financial Distress Prediction. 374-385 2009 EPIA https://doi.org/10.1007/978-3-642-04686-5_31 conf/epia/2009 db/conf/epia/epia2009.html#ChenVDRN09 Qingzhong Liu Andrew H. Sung Mengyu Qiao Bernardete Ribeiro Using Expanded Markov Process and Joint Distribution Features for JPEG Steganalysis. 226-231 2009 ICAART conf/icaart/2009 db/conf/icaart/icaart2009.html#LiuSQR09 Catarina Silva 0001 Bernardete Ribeiro Improving Text Classification Performance with Incremental Background Knowledge. 923-931 2009 ICANN (1) https://doi.org/10.1007/978-3-642-04274-4_95 conf/icann/2009-1 db/conf/icann/icann2009-1.html#SilvaR09 Catarina Silva 0001 Bernardete Ribeiro Improving Visualization, Scalability and Performance of Multiclass Problems with SVM Manifold Learning. 370-379 2009 ICANNGA https://doi.org/10.1007/978-3-642-04921-7_38 conf/icannga/2009 db/conf/icannga/icannga2009.html#SilvaR09 Bernardete Ribeiro Catarina Silva 0001 Armando Vieira João Carvalho das Neves Extracting Discriminative Features Using Non-negative Matrix Factorization in Financial Distress Data. 537-547 2009 ICANNGA https://doi.org/10.1007/978-3-642-04921-7_55 conf/icannga/2009 db/conf/icannga/icannga2009.html#RibeiroSVN09 Armando Vieira João M. M. Duarte Bernardete Ribeiro João Carvalho das Neves Accurate Prediction of Financial Distress of Companies with Machine Learning Algorithms. 569-576 2009 ICANNGA https://doi.org/10.1007/978-3-642-04921-7_58 conf/icannga/2009 db/conf/icannga/icannga2009.html#VieiraDRN09 Catarina Silva 0001 Bernardete Ribeiro Knowledge Extraction with Non-Negative Matrix Factorization for Text Classification. 300-308 2009 IDEAL https://doi.org/10.1007/978-3-642-04394-9_37 conf/ideal/2009 db/conf/ideal/ideal2009.html#SilvaR09 Noel Lopes Bernardete Ribeiro GPU Implementation of the Multiple Back-Propagation Algorithm. 449-456 2009 IDEAL https://doi.org/10.1007/978-3-642-04394-9_55 conf/ideal/2009 db/conf/ideal/ideal2009.html#LopesR09

Catarina Silva 0001 Bernardete Ribeiro Towards Expanding Relevance Vector Machines to Large Scale Datasets. 45-58 2008 18 Int. J. Neural Syst. 1 https://doi.org/10.1142/S0129065708001361 https://www.wikidata.org/entity/Q51890912 db/journals/ijns/ijns18.html#SilvaR08

Qingzhong Liu Andrew H. Sung Bernardete Ribeiro Mingzhen Wei Zhongxue Chen Jianyun Xu Image complexity and feature mining for steganalysis of least significant bit matching steganography. 21-36 2008 178 Inf. Sci. 1 https://doi.org/10.1016/j.ins.2007.08.007 db/journals/isci/isci178.html#LiuSRWCX08

Bernardete Ribeiro Armando Vieira João Carvalho das Neves Supervised Isomap with Dissimilarity Measures in Embedding Learning. 389-396 2008 CIARP https://doi.org/10.1007/978-3-540-85920-8_48 conf/ciarp/2008 db/conf/ciarp/ciarp2008.html#RibeiroVN08 Catarina Silva 0001 Bernardete Ribeiro Text Classification on Embedded Manifolds. 272-281 2008 IBERAMIA https://doi.org/10.1007/978-3-540-88309-8_28 conf/iberamia/2008 db/conf/iberamia/iberamia2008.html#SilvaR08 Bartlomiej Beliczynski Bernardete Ribeiro Several Enhancements to Hermite-Based Approximation of One-Variable Functions. 11-20 2008 ICANN (1) https://doi.org/10.1007/978-3-540-87536-9_2 conf/icann/2008-1 db/conf/icann/icann2008-1.html#BeliczynskiR08 Catarina Silva 0001 Bernardete Ribeiro Uros Lotric Andrej Dobnikar Distributed Ensemble Learning in Text Classification. 420-423 2008 ICEIS (2) conf/iceis/2008-2 db/conf/iceis/iceis2008-2.html#SilvaRLD08 Catarina Silva 0001 Bernardete Ribeiro Selecting Examples in Manifold Reduced Feature Space for Active Learning. 54-59 2008 ICMLA https://doi.org/10.1109/ICMLA.2008.86 https://doi.ieeecomputersociety.org/10.1109/ICMLA.2008.86 conf/icmla/2008 db/conf/icmla/icmla2008.html#SilvaR08 Armando Vieira João M. M. Duarte Bernardete Ribeiro João Carvalho das Neves Improving Personal Credit Scoring with HLVQ-C. 97-103 2008 ICONIP (2) https://doi.org/10.1007/978-3-642-03040-6_12 conf/iconip/2009-2 db/conf/iconip/iconip2009-2.html#VieiraDRN09 Bernardete Ribeiro Armando Vieira João M. M. Duarte Catarina Silva 0001 João Carvalho das Neves Qingzhong Liu Andrew H. Sung Learning Manifolds for Bankruptcy Analysis. 723-730 2008 ICONIP (1) https://doi.org/10.1007/978-3-642-02490-0_88 conf/iconip/2009-1 db/conf/iconip/iconip2009-1.html#RibeiroVDSNLS09 Rita Ferreira Bernardete Ribeiro Catarina Silva 0001 Qingzhong Liu Andrew H. Sung Building resilient classifiers for LSB matching steganography. 1562-1567 2008 IJCNN https://doi.org/10.1109/IJCNN.2008.4634004 conf/ijcnn/2008 db/conf/ijcnn/ijcnn2008.html#FerreiraRSLS08 Qingzhong Liu Andrew H. Sung Bernardete Ribeiro Rita Ferreira Steganalysis of multi-class JPEG images based on expanded Markov features and polynomial fitting. 3352-3357 2008 IJCNN https://doi.org/10.1109/IJCNN.2008.4634274 conf/ijcnn/2008 db/conf/ijcnn/ijcnn2008.html#LiuSRF08 Bernardete Ribeiro Alberto Cardoso Evaluation system for e-learning with pattern mining tools. 3051-3056 2008 SMC https://doi.org/10.1109/ICSMC.2008.4811763 conf/smc/2008 db/conf/smc/smc2008.html#RibeiroC08

Bernardete Ribeiro Amândio Marques Jorge Henriques Manuel Antunes Choosing Real-Time Predictors for Ventricular Arrhythmia Detection. 1249-1263 2007 21 Int. J. Pattern Recognit. Artif. Intell. 8 https://doi.org/10.1142/S0218001407005934 db/journals/ijprai/ijprai21.html#RibeiroMHA07

Catarina Silva 0001 Bernardete Ribeiro On Text-based Mining with Active Learning and Background Knowledge Using SVM. 519-530 2007 11 Soft Comput. 6 https://doi.org/10.1007/s00500-006-0080-8 https://www.wikidata.org/entity/Q114264261 db/journals/soco/soco11.html#SilvaR07

Mário Brito Jorge Henriques Paulo Carvalho 0001 Bernardete Ribeiro Manuel Antunes An ECG compression approach based on a segment dictionary and bezier approximations. 2504-2508 2007 EUSIPCO https://ieeexplore.ieee.org/document/7099259/ conf/eusipco/2007 db/conf/eusipco/eusipco2007.html#BritoHCRA07 Bernardete Ribeiro Support, Relevance and Spectral Learning for Time Series. 199-207 2007 conf/icannga/2007-2 ICANNGA (2) https://doi.org/10.1007/978-3-540-71629-7_23 db/conf/icannga/icannga2007-2.html#Ribeiro07 Catarina Silva 0001 Bernardete Ribeiro Andrew H. Sung Boosting RVM Classifiers for Large Data Sets. 228-237 2007 conf/icannga/2007-2 ICANNGA (2) https://doi.org/10.1007/978-3-540-71629-7_26 db/conf/icannga/icannga2007-2.html#SilvaRS07 Catarina Silva 0001 Bernardete Ribeiro Combining active learning and relevance vector machines for text classification. 130-135 2007 ICMLA https://doi.org/10.1109/ICMLA.2007.72 https://doi.ieeecomputersociety.org/10.1109/ICMLA.2007.72 conf/icmla/2007 db/conf/icmla/icmla2007.html#SilvaR07 Krishna Yendrapalli Srinivas Mukkamala Andrew H. Sung Bernardete Ribeiro Biased Support Vector Machines and Kernel Methods for Intrusion Detection. 321-325 2007 conf/wce/2007 World Congress on Engineering db/conf/wce/wce2007.html#YendrapalliMSR07 Bartlomiej Beliczynski Andrzej Dzielinski Marcin Iwanowski Bernardete Ribeiro Adaptive and Natural Computing Algorithms, 8th International Conference, ICANNGA 2007, Warsaw, Poland, April 11-14, 2007, Proceedings, Part I ICANNGA (1) Lecture Notes in Computer Science 4431 Springer 2007 978-3-540-71589-4 https://doi.org/10.1007/978-3-540-71618-1 db/conf/icannga/icannga2007-1.html Bartlomiej Beliczynski Andrzej Dzielinski Marcin Iwanowski Bernardete Ribeiro Adaptive and Natural Computing Algorithms, 8th International Conference, ICANNGA 2007, Warsaw, Poland, April 11-14, 2007, Proceedings, Part II ICANNGA (2) Lecture Notes in Computer Science 4432 Springer 2007 978-3-540-71590-0 https://doi.org/10.1007/978-3-540-71629-7 https://www.wikidata.org/entity/Q112121659 db/conf/icannga/icannga2007-2.html Catarina Silva 0001 Bernardete Ribeiro Two-Level Hierarchical Hybrid SVM-RVM Classification Model. 89-94 2006 ICMLA https://doi.org/10.1109/ICMLA.2006.52 https://doi.ieeecomputersociety.org/10.1109/ICMLA.2006.52 conf/icmla/2006 db/conf/icmla/icmla2006.html#SilvaR06 Qingzhong Liu Andrew H. Sung Jianyun Xu Bernardete Ribeiro Image Complexity and Feature Extraction for Steganalysis of LSB Matching Steganography. 267-270 2006 conf/icpr/2006 ICPR (2) https://doi.org/10.1109/ICPR.2006.684 https://doi.ieeecomputersociety.org/10.1109/ICPR.2006.684 db/conf/icpr/icpr2006-2.html#LiuSXR06 Catarina Silva 0001 Bernardete Ribeiro Automated Learning of RVM for Large Scale Text Sets: Divide to Conquer. 878-886 2006 conf/ideal/2006 IDEAL https://doi.org/10.1007/11875581_105 db/conf/ideal/ideal2006.html#SilvaR06 Bernardete Ribeiro Armando Vieira João Carvalho das Neves Sparse Bayesian Models: Bankruptcy-Predictors of Choice? 3377-3381 2006 IJCNN https://doi.org/10.1109/IJCNN.2006.247338 conf/ijcnn/2006 db/conf/ijcnn/ijcnn2006.html#RibeiroVN06 Catarina Silva 0001 Bernardete Ribeiro Scaling Text Classification with Relevance Vector Machines. 4186-4191 2006 SMC https://doi.org/10.1109/ICSMC.2006.384791 conf/smc/2006 db/conf/smc/smc2006.html#SilvaR06

Bernardete Ribeiro On the Evaluation of Minkovsky Kernel for SVMs. 77-90 2005 13 1 Neural Parallel Sci. Comput. db/journals/npsc/npsc13.html#Ribeiro05

Bernardete Ribeiro Selective Classification and Regression Models Based on Support Vector Clustering. 327-336 2005 13 Neural Parallel Sci. Comput. db/journals/npsc/npsc13.html#Ribeiro05a

Bernardete Ribeiro Support vector machines for quality monitoring in a plastic injection molding process. 401-410 2005 35 IEEE Trans. Syst. Man Cybern. Part C 3 https://doi.org/10.1109/TSMCC.2004.843228 db/journals/tsmc/tsmcc35.html#Ribeiro05

Catarina Silva 0001 Bernardete Ribeiro Uros Lotric Speeding-up text categorization in a grid computing environment. 2005 ICMLA https://doi.org/10.1109/ICMLA.2005.60 https://doi.ieeecomputersociety.org/10.1109/ICMLA.2005.60 conf/icmla/2005 db/conf/icmla/icmla2005.html#SilvaRL05 Catarina Silva 0001 Bernardete Ribeiro Margin-Based Active Learning and Background Knowledge in Text Mining. 8-13 2004 conf/his/2004 HIS https://doi.org/10.1109/ICHIS.2004.70 https://doi.ieeecomputersociety.org/10.1109/ICHIS.2004.70 db/conf/his/his2004.html#SilvaR04

Catarina Silva 0001 Bernardete Ribeiro Navigating mobile robots with a modular neural architecture. 200-211 2003 12 Neural Comput. Appl. 3-4 https://doi.org/10.1007/s00521-003-0383-y db/journals/nca/nca12.html#SilvaR03

Noel Lopes Bernardete Ribeiro An Efficient Gradient-based Learning Algorithm Applied to Neural Networks with Selective Actuation Neurons. 253-272 2003 11 3 Neural Parallel Sci. Comput. db/journals/npsc/npsc11.html#LopesR03 http://dl.acm.org/citation.cfm?id=952946

Bernardete Ribeiro Learning Adaptive Kernels for Model Diagnosis. 563-571 2003 conf/his/2003 HIS db/conf/his/his2003.html#Ribeiro03 N. Costa Bernardete Ribeiro A framework for neural quality control systems design. 101-106 2003 ICANNGA https://doi.org/10.1007/978-3-7091-0646-4_20 conf/icannga/2003 db/conf/icannga/icannga2003.html#CostaR03 Catarina Silva 0001 Bernardete Ribeiro An Inductive Inference Approach to Large Scale Text Categorisation. 126-130 2003 ICANNGA https://doi.org/10.1007/978-3-7091-0646-4_24 conf/icannga/2003 db/conf/icannga/icannga2003.html#0001R03 Catarina Silva 0001 Bernardete Ribeiro On the Evaluation of Text Processing in Text Categorization. 121-127 2003 conf/icmla/2003 ICMLA db/conf/icmla/icmla2003.html#SilvaR03 Bernardete Ribeiro Paulo Carvalho 0001 Mercer's Kernel Based Learning for Fault Detection. 341-350 2002 conf/his/2002 HIS db/conf/his/his2002.html#RibeiroC02 Paulo Carvalho 0001 Amâncio Santos António Dourado Bernardete Ribeiro Bayes Information Criterion for Tikhonov Regularization with Linear Constraints: Application to Spectral Data Estimation. 696-700 2002 conf/icpr/2002 ICPR (1) https://doi.org/10.1109/ICPR.2002.1044852 https://doi.ieeecomputersociety.org/10.1109/ICPR.2002.1044852 db/conf/icpr/icpr2002-1.html#CarvalhoSDR02

Filipe Araújo Bernardete Ribeiro Luís E. T. Rodrigues A neural network for shortest path computation. 1067-1073 2001 12 IEEE Trans. Neural Networks 5 https://doi.org/10.1109/72.950136 https://www.wikidata.org/entity/Q51623381 db/journals/tnn/tnn12.html#AraujoRR01

Paulo Carvalho 0001 Amâncio Santos António Dourado Bernardete Ribeiro Learning Spectral Calibration Parameters For Color Inspection. 660-667 2001 conf/iccv/2001-2 ICCV db/conf/iccv/iccv2001-2.html#CarvalhoSDR01 https://doi.org/10.1109/ICCV.2001.937689 https://doi.ieeecomputersociety.org/10.1109/ICCV.2001.937689 Paulo Carvalho 0001 Amâncio Santos Bernardete Ribeiro António Dourado On the estimation of spectral data: a genetic algorithm approach. 1:866-869 2001 conf/icip/2001 ICIP (1) https://doi.org/10.1109/ICIP.2001.959183 db/conf/icip/icip2001.html#CarvalhoSRD01 Catarina Silva 0001 Manuel M. Crisóstomo Bernardete Ribeiro MONODA: A Neural Modular Architecture for Obstacle Avoidance without Knowledge of the Environment. 334-342 2000 conf/ijcnn/2000-6 IJCNN (6) https://doi.org/10.1109/IJCNN.2000.859418 https://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.859418 db/conf/ijcnn/ijcnn2000-6.html#SilvaCR00

Paulo Carvalho 0001 N. Costa Bernardete Ribeiro On the Use of Neural Networks and Geometrical Criteria for Localisation of Highly Irregular Elliptical Shapes. 321-342 1999 2 Pattern Anal. Appl. 4 https://doi.org/10.1007/s100440050040 db/journals/paa/paa2.html#CarvalhoCR99

N. Costa Bernardete Ribeiro A neural prediction model for monitoring and fault diagnosis of a plastic injection moulding process. 2381-2385 1999 ECC https://doi.org/10.23919/ECC.1999.7099678 conf/eucc/1999 db/conf/eucc/eucc1999.html#CostaR99 N. Costa António Gaspar-Cunha Bernardete Ribeiro Monitoring an Industrial Plastic Injection Moulding Machine Using Neural Networks. 89-94 1999 ICANNGA https://doi.org/10.1007/978-3-7091-6384-9_16 conf/icannga/1999 db/conf/icannga/icannga1999.html#CostaGR99 Bernardete Ribeiro Fault detection in a thermoplastic injection molding process using neural networks. 3352-3355 1999 IJCNN https://doi.org/10.1109/IJCNN.1999.836199 conf/ijcnn/1999 db/conf/ijcnn/ijcnn1999.html#Ribeiro99 Bernardete Ribeiro Alberto Cardoso A Model-based Neural Network Controller for a Process Trainer Laboratory Equipment. 601-605 1997 ICANNGA https://doi.org/10.1007/978-3-7091-6492-1_133 conf/icannga/1997 db/conf/icannga/icannga1997.html#RibeiroC97 Bernardete Ribeiro Contribuição para a modelização, supervisão e controlo de sistemas multivariáveis não lineares por redes neuronais com aplicação a um forno de cal University of Coimbra, Portugal 1995 https://hdl.handle.net/10316/1903 Bernardete Ribeiro Ernesto Costa António Dourado Lime Kiln Fault Detection and Diagnosis by Neural Networks. 112-115 1995 ICANNGA https://doi.org/10.1007/978-3-7091-7535-4_31 conf/icannga/1995 db/conf/icannga/icannga1995.html#RibeiroCD95 Bernardete Ribeiro António Dourado Ernesto Costa Industrial Kiln Multivariable Control: MNN and RBFNN Approaches. 408-411 1995 ICANNGA https://doi.org/10.1007/978-3-7091-7535-4_106 conf/icannga/1995 db/conf/icannga/icannga1995.html#RibeiroDC95 Maryam Abbasi Ali AghaeiRad Amr Al-Abbas Melania Albisser Ana de Almeida 0002Ana Maria de Almeida 0002 José Carlos Almeida Ana Alves 0001 Marco Amorim Francisco Antunes Manuel Antunes Mário Antunes 0002 Filipe Araújo Joel ArraisJoel P. Arrais Filipe Assunção Daniel Azevedo Ram B. Basnet Bartlomiej Beliczynski Stanislav BorysovStanislav S. Borysov Dinu Bosîi Mário Brito Rui M. M. Brito Martin H. Brutsche Alberto Cardoso Amílcar CardosoF. Amílcar Cardoso Bruno Cardoso Filipa G. Carvalho Paulo Carvalho 0001 Miguel Castelo-Branco Manuel Arias Chao An Chen Ning Chen 0003 Zhongxue Chen A. Paulo Coimbra Daniel Correia Manuel Eduardo Correia Dinis Costa Ernesto Costa Joana Cósta N. Costa Daniel Coutinho Manuel M. CrisóstomoManuel Marques Crisóstomo Mario Dib Bruno Direito Andrej Dobnikar António Dourado João M. M. Duarte Adriano Durao Andrzej Dzielinski Gabriel Falcao Tiago Faria Miguel Fernandes João Paulo Ferreira Rita Ferreira Julian FierrezJulian Fiérrez Marisa B. Figueiredo Carlos M. Fonseca Xavier Frazão António Gaspar-Cunha Pedro Geadas Paulo Gil Rui Gomes Ivo Gonçalves João Gonçalves Jorge Henriques Melissa E. Hogg Marcin Iwanowski Shekhar Madhav Khairnar Sirvan Khalighi Alexander Kovacec Ana Laranjeira Joaquim Leitão Fatima Silva LeiteFátima Silva Leite Qingzhong Liu Tao Liu 0006 Noel Lopes Uros Lotric Mariana Lourenço Nuno Lourenço 0002 Rui Lourenço Pedro Lucas Oswaldo Ludwig Penousal Machado Amândio Marques Goreti Marreiros António Martins Bruno Martins 0001 Fernando Mendes Nelson R. C. Monteiro António Morais Aythami Morales Carlos Morell 0001Carlos Morell Pérez Srinivas Mukkamala João Carvalho das Neves Huu Phong Nguyen Vítor Beires NogueiraVítor Nogueira Urbano Nunes 0001 Gonçalo Oliveira José Luís Oliveira Nelson Oliveira Mauricio Orozco-Alzate Kadir Hector Ortiz Ana Paiva 0001 Rui Pedro Paiva Sofia Garces Palacios Dylan Perdigão Carlos Pereira Francisco C. Pereira Tiago Pereira 0001Tiago Oliveira Pereira 0001 Tiago C. Pereira Jorge Luis Rivero Pérez Nguyen Huu Phong André Pimentel Alexandre Miguel Pinto Patricio M. Polanco Pedro A. Prates Cristiano Premebida Mengyu Qiao Pedro Quesado Ricardo Quintas Luís RatoLuís Miguel Rato André Ribeiro Filipe Rodrigues 0001 Luís E. T. Rodrigues Raúl Llasag Rosero José Saias Pedro D. Salgueiro J. Salvador Sánchez 0001José Salvador Sánchez 0001 Ganesh Sankaranarayanan Amâncio Santos Augusto Santos Beatriz P. Santos Bruno Filipe SantosBruno F. Santos Sérgio Santos Alberto Sardinha David Sereno Rahul Sharma 0008 Catarina Silva 0001 Jorge Sá Silva José Silva José Rafael Silva Carlos J. V. Simões Heloisa Sobral Raul Sofa Raul Sofia José Paulo Sousa Andrew H. Sung Divya Suryakumar Chaosheng Tang César Alexandre Teixeira Luis H. M. Torres Ana-Lorena Uribe-Hurtado Alexandra Vieira Armando Vieira Mingzhen Wei Jianyun Xu Krishna Yendrapalli Herbert Zeh III Amer H. Zureikat