
Bernardete Ribeiro
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2020 – today
- 2020
- [j53]Joaquim Leitão
, Paulo Gil
, Bernardete Ribeiro
, Alberto Cardoso
:
A Survey on Home Energy Management. IEEE Access 8: 5699-5722 (2020) - [j52]Rahul Sharma
, Bernardete Ribeiro, Alexandre Miguel Pinto, F. Amílcar Cardoso
:
Learning non-convex abstract concepts with regulated activation networks. Ann. Math. Artif. Intell. 88(11): 1207-1235 (2020) - [j51]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. Comput. Ind. 122: 103260 (2020) - [j50]Daniel Azevedo, Bernardete Ribeiro, Alberto Cardoso:
Prediction of the Remaining Useful Life of Aircraft Systems via Web Interface. Int. J. Online Biomed. Eng. 16(4): 23-32 (2020) - [j49]Pedro Lucas, Jorge Sá Silva, Filipe Araújo, Catarina Silva, Paulo Gil, Joel P. Arrais, Daniel Coutinho, Pedro D. Salgueiro, Luís Miguel Rato, José Saias, Vítor Nogueira, Alberto Cardoso, Bernardete Ribeiro:
NanoSen-AQM: From Sensors to Users. Int. J. Online Biomed. Eng. 16(4): 51-62 (2020) - [j48]Joana Cósta
, Catarina Silva, Mário Antunes
, Bernardete Ribeiro
:
Boosting dynamic ensemble's performance in Twitter. Neural Comput. Appl. 32(14): 10655-10667 (2020) - [c141]Luis Torres, Nelson R. C. Monteiro, José Luís Oliveira, Joel Arrais, Bernardete Ribeiro:
Exploring a Siamese Neural Network Architecture for One-Shot Drug Discovery. BIBE 2020: 168-175 - [c140]Filipe Assunção
, Nuno Lourenço
, Bernardete Ribeiro
, Penousal Machado
:
Incremental Evolution and Development of Deep Artificial Neural Networks. EuroGP 2020: 35-51 - [c139]Filipe Assunção
, Nuno Lourenço
, Bernardete Ribeiro
, Penousal Machado
:
Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution. EvoApplications 2020: 530-545 - [c138]Rahul Sharma, Bernardete Ribeiro, Alexandre Miguel Pinto, F. Amílcar Cardoso:
Reconstructing Abstract Concepts and their Blends Via Computational Cognitive Modeling. IJCNN 2020: 1-6 - [i17]Filipe Assunção, Nuno Lourenço, Bernardete Ribeiro, Penousal Machado:
Incremental Evolution and Development of Deep Artificial Neural Networks. CoRR abs/2004.00302 (2020) - [i16]Filipe Assunção, Nuno Lourenço, Bernardete Ribeiro, Penousal Machado:
Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution. CoRR abs/2004.00307 (2020) - [i15]Nguyen Huu Phong, Bernardete Ribeiro:
Rethinking Recurrent Neural Networks and other Improvements for Image Classification. CoRR abs/2007.15161 (2020) - [i14]Nguyen Huu Phong, Bernardete Ribeiro:
An Improvement for Capsule Networks using Depthwise Separable Convolution. CoRR abs/2007.15167 (2020)
2010 – 2019
- 2019
- [j47]Filipe Assunção
, Nuno Lourenço
, Penousal Machado, Bernardete Ribeiro
:
DENSER: deep evolutionary network structured representation. Genet. Program. Evolvable Mach. 20(1): 5-35 (2019) - [j46]Ning Chen, Bernardete Ribeiro
, Chaosheng Tang, An Chen:
Multi-label learning vector quantization for semi-supervised classification. Intell. Data Anal. 23(4): 839-853 (2019) - [j45]Bernardete Ribeiro
, Ning Chen, Alexander Kovacec
:
Shaping graph pattern mining for financial risk. Neurocomputing 326-327: 123-131 (2019) - [j44]Francisco Antunes
, Marco Amorim
, Francisco C. Pereira
, Bernardete Ribeiro
:
Active learning metamodeling for policy analysis: Application to an emergency medical service simulator. Simul. Model. Pract. Theory 97 (2019) - [c137]Filipe Assunção
, Nuno Lourenço
, Penousal Machado
, Bernardete Ribeiro
:
Fast DENSER: Efficient Deep NeuroEvolution. EuroGP 2019: 197-212 - [c136]Joaquim Leitão
, Paulo Gil
, Bernardete Ribeiro
, Alberto Cardoso:
Smart Home Energy Management Supported by Cloud Computing. exp.at 2019: 96-101 - [c135]Daniel Azevedo, Bernardete Ribeiro
, Alberto Cardoso
:
Online Simulation of Methods to Predict the Remaining Useful Lifetime of Aircraft Components. exp.at 2019: 199-203 - [c134]Daniel Azevedo, Bernardete Ribeiro
, Alberto Cardoso
:
Web-based tool for predicting the Remaining Useful Lifetime of Aircraft Components. exp.at 2019: 231-232 - [c133]Jorge Sá Silva
, Pedro Lucas, Filipe Araújo
, Catarina Silva, Paulo Gil
, Alberto Cardoso
, Joel Arrais, Bernardete Ribeiro
, Daniel Coutinho, Pedro D. Salgueiro
, Luís Miguel Rato
, José Saias, Vítor Nogueira:
A Hybrid Application for Real-Time Air Quality Monitoring. exp.at 2019: 270-271 - [c132]Jorge Sá Silva
, Pedro Lucas, Filipe Araújo
, Catarina Silva, Paulo Gil
, Alberto Cardoso
, Joel Arrais, Bernardete Ribeiro
, Daniel Coutinho, Pedro D. Salgueiro
, Luís Miguel Rato
, José Saias, Vítor Nogueira:
An Online Platform For Real-Time Air Quality Monitoring. exp.at 2019: 320-325 - [c131]Joana Cósta, Catarina Silva, Bernardete Ribeiro
:
Hierarchical Deep Learning Approach for Plant Disease Detection. IbPRIA (2) 2019: 383-393 - [c130]Nguyen Huu Phong, Bernardete Ribeiro
:
An Improvement for Capsule Networks Using Depthwise Separable Convolution. IbPRIA (1) 2019: 521-530 - [c129]Nguyen Huu Phong
, Bernardete Ribeiro
:
Advanced Capsule Networks via Context Awareness. ICANN (1) 2019: 166-177 - [c128]Nelson R. C. Monteiro
, Bernardete Ribeiro
, Joel P. Arrais
:
Deep Neural Network Architecture for Drug-Target Interaction Prediction. ICANN (Workshop) 2019: 804-809 - [e4]Aythami Morales, Julian Fiérrez, José Salvador Sánchez, Bernardete Ribeiro:
Pattern Recognition and Image Analysis - 9th Iberian Conference, IbPRIA 2019, Madrid, Spain, July 1-4, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11867, Springer 2019, ISBN 978-3-030-31331-9 [contents] - [e3]Aythami Morales, Julian Fiérrez, José Salvador Sánchez, Bernardete Ribeiro:
Pattern Recognition and Image Analysis - 9th Iberian Conference, IbPRIA 2019, Madrid, Spain, July 1-4, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11868, Springer 2019, ISBN 978-3-030-31320-3 [contents] - [i13]Nguyen Huu Phong, Bernardete Ribeiro:
Offline and Online Deep Learning for Image Recognition. CoRR abs/1903.07479 (2019) - [i12]Nguyen Huu Phong, Bernardete Ribeiro:
Advanced Capsule Networks via Context Awareness. CoRR abs/1903.07497 (2019) - [i11]Filipe Assunção, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro:
Fast-DENSER++: Evolving Fully-Trained Deep Artificial Neural Networks. CoRR abs/1905.02969 (2019) - 2018
- [j43]Ning Chen, Bernardete Ribeiro
, An Chen, Chaosheng Tang
:
Optimization of selective ensemble for cost-sensitive classification: An empirical study. Intell. Decis. Technol. 12(4): 399-410 (2018) - [j42]Francisco Antunes
, Bernardete Ribeiro
, Francisco C. Pereira
, Rui Gomes
:
Efficient Transport Simulation With Restricted Batch-Mode Active Learning. IEEE Trans. Intell. Transp. Syst. 19(11): 3642-3651 (2018) - [c127]Filipe Assunção
, David Sereno, Nuno Lourenço
, Penousal Machado, Bernardete Ribeiro
:
Automatic Evolution of AutoEncoders for Compressed Representations. CEC 2018: 1-8 - [c126]Mario Dib, Bernardete Ribeiro
, Pedro A. Prates
:
Model Prediction of Defects in Sheet Metal Forming Processes. EANN 2018: 169-180 - [c125]Filipe Assunção
, Nuno Lourenço
, Penousal Machado, Bernardete Ribeiro
:
Using GP Is NEAT: Evolving Compositional Pattern Production Functions. EuroGP 2018: 3-18 - [c124]Filipe Assunção
, Nuno Lourenço
, Penousal Machado
, Bernardete Ribeiro
:
Evolving the Topology of Large Scale Deep Neural Networks. EuroGP 2018: 19-34 - [c123]Francisco Antunes, Bernardete Ribeiro
, Francisco C. Pereira
:
Active Learning for Input Space Exploration in Traffic Simulators. IJCNN 2018: 1-8 - [c122]Joana Cósta, Catarina Silva, Mário Antunes
, Bernardete Ribeiro
:
Adaptive Learning Models Evaluation in Twitter's Timelines. IJCNN 2018: 1-8 - [c121]Rahul Sharma
, Bernardete Ribeiro
, Alexandre Miguel Pinto, F. Amílcar Cardoso
:
Perceiving Abstract Concepts Via Evolving Computational Cognitive Modeling. IJCNN 2018: 1-8 - [c120]Alexandra Vieira, Bernardete Ribeiro
, Heloisa Sobral, A. Paulo Coimbra, Manuel M. Crisóstomo, João P. Ferreira
, Tao Liu:
Dynamic Human Gait VGRF Reference Profile Generation via Extreme Learning Machine. IJCNN 2018: 1-7 - [c119]Joana Cósta, Catarina Silva, Bernardete Ribeiro
:
Learning in Twitter Streams with 280 Character Tweets. SoCPaR 2018: 177-184 - [c118]Nelson Oliveira, Joana Cósta, Catarina Silva, Bernardete Ribeiro
:
Retweet Predictive Model for Predicting the Popularity of Tweets. SoCPaR 2018: 185-193 - [i10]Filipe Assunção, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro:
DENSER: Deep Evolutionary Network Structured Representation. CoRR abs/1801.01563 (2018) - [i9]Filipe Rodrigues, Mariana Lourenço, Bernardete Ribeiro, Francisco C. Pereira:
Learning Supervised Topic Models for Classification and Regression from Crowds. CoRR abs/1808.05902 (2018) - [i8]Filipe Rodrigues, Stanislav S. Borysov, Bernardete Ribeiro, Francisco C. Pereira:
A Bayesian Additive Model for Understanding Public Transport Usage in Special Events. CoRR abs/1812.08755 (2018) - 2017
- [j41]Francisco Antunes
, Bernardete Ribeiro
, Francisco C. Pereira
:
Probabilistic modeling and visualization for bankruptcy prediction. Appl. Soft Comput. 60: 831-843 (2017) - [j40]Joana Cósta
, Catarina Silva
, Mário Antunes
, Bernardete Ribeiro
:
Adaptive learning for dynamic environments: A comparative approach. Eng. Appl. Artif. Intell. 65: 336-345 (2017) - [j39]Bernardete Ribeiro
, Ning Chen:
Financial credit risk assessment via learning-based hashing. Intell. Decis. Technol. 11(2): 177-186 (2017) - [j38]Ali AghaeiRad
, Ning Chen
, Bernardete Ribeiro
:
Improve credit scoring using transfer of learned knowledge from self-organizing map. Neural Comput. Appl. 28(6): 1329-1342 (2017) - [j37]Filipe Rodrigues
, Stanislav Borysov
, Bernardete Ribeiro
, Francisco C. Pereira
:
A Bayesian Additive Model for Understanding Public Transport Usage in Special Events. IEEE Trans. Pattern Anal. Mach. Intell. 39(11): 2113-2126 (2017) - [j36]Filipe Rodrigues
, Mariana Lourenço, Bernardete Ribeiro
, Francisco C. Pereira
:
Learning Supervised Topic Models for Classification and Regression from Crowds. IEEE Trans. Pattern Anal. Mach. Intell. 39(12): 2409-2422 (2017) - [j35]Sirvan Khalighi
, Bernardete Ribeiro
, Urbano Nunes
:
Importance Weighted Import Vector Machine for Unsupervised Domain Adaptation. IEEE Trans. Cybern. 47(10): 3280-3292 (2017) - [c117]Filipe Assunção
, Nuno Lourenço
, Penousal Machado, Bernardete Ribeiro
:
Automatic generation of neural networks with structured Grammatical Evolution. CEC 2017: 1557-1564 - [c116]José Silva, Bernardete Ribeiro
, Andrew H. Sung:
Finding the Critical Sampling of Big Datasets. Conf. Computing Frontiers 2017: 355-360 - [c115]Nguyen Huu Phong
, Bernardete Ribeiro
:
Offline and online deep learning for image recognition. exp.at 2017: 171-175 - [c114]Joana Cósta
, Catarina Silva
, Mário Antunes
, Bernardete Ribeiro
:
Performance Metrics for Model Fusion in Twitter Data Drifts. IbPRIA 2017: 13-21 - [c113]Noel Lopes
, Bernardete Ribeiro
:
Novel Trends in Scaling Up Machine Learning Algorithms. ICMLA 2017: 632-636 - [c112]Jorge Luis Rivero Pérez, Bernardete Ribeiro
, Ning Chen, Fátima Silva Leite
:
A Grassmannian Approach to Zero-Shot Learning for Network Intrusion Detection. ICONIP (1) 2017: 565-575 - [i7]Jorge Luis Rivero Pérez, Bernardete Ribeiro, Kadir Hector Ortiz:
A Comparison of Algorithms for Intrusion Detection on Batch and Data Stream Environments. CoRR abs/1701.00893 (2017) - [i6]Filipe Assunção, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro:
Towards the Evolution of Multi-Layered Neural Networks: A Dynamic Structured Grammatical Evolution Approach. CoRR abs/1706.08493 (2017) - [i5]Jorge Luis Rivero Pérez, Bernardete Ribeiro, Ning Chen, Fátima Silva Leite:
A Grassmannian Approach to Zero-Shot Learning for Network Intrusion Detection. CoRR abs/1709.07984 (2017) - 2016
- [j34]Ning Chen, Bernardete Ribeiro
, An Chen:
Financial credit risk assessment: a recent review. Artif. Intell. Rev. 45(1): 1-23 (2016) - [j33]Ning Chen, An Chen, Bernardete Ribeiro
:
Towards tangible benefits of corporate failure prediction with business sector: A comparative study. Intell. Decis. Technol. 10(4): 431-442 (2016) - [c111]Ana Laranjeira, Xavier Frazão, André Pimentel, Bernardete Ribeiro
:
How Deep Can We Rely on Emotion Recognition. CIARP 2016: 511-520 - [c110]Noel Lopes
, Bernardete Ribeiro
:
Trading off Distance Metrics vs Accuracy in Incremental Learning Algorithms. CIARP 2016: 530-538 - [c109]Joana Cósta
, Catarina Silva
, Mário Antunes
, Bernardete Ribeiro
:
Choice of Best Samples for Building Ensembles in Dynamic Environments. EANN 2016: 35-47 - [c108]Gonçalo Oliveira, Xavier Frazão, André Pimentel, Bernardete Ribeiro
:
Automatic graphic logo detection via Fast Region-based Convolutional Networks. IJCNN 2016: 985-991 - [c107]Jorge Luis Rivero Pérez, Bernardete Ribeiro
, Carlos Morell Pérez:
Mahalanobis distance metric learning algorithm for instance-based data stream classification. IJCNN 2016: 1857-1862 - [c106]Jorge Luis Rivero Pérez, Bernardete Ribeiro
:
Attribute Learning for Network Intrusion Detection. INNS Conference on Big Data 2016: 39-49 - [c105]Andrew H. Sung, Bernardete Ribeiro
, Qingzhong Liu:
Sampling and Evaluating the Big Data for Knowledge Discovery. IoTBD 2016: 378-382 - [c104]Catarina Silva
, Bernardete Ribeiro
:
Visualization of Individual Ensemble Classifier Contributions. IPMU (2) 2016: 633-642 - [c103]Catarina Silva
, Bernardete Ribeiro
:
Multiclass Ensemble of One-against-all SVM Classifiers. ISNN 2016: 531-539 - [i4]Jorge Luis Rivero Pérez
, Bernardete Ribeiro, Carlos Morell Pérez:
Mahalanobis Distance Metric Learning Algorithm for Instance-based Data Stream Classification. CoRR abs/1604.04879 (2016) - [i3]Gonçalo Oliveira, Xavier Frazão, André Pimentel, Bernardete Ribeiro:
Automatic Graphic Logo Detection via Fast Region-based Convolutional Networks. CoRR abs/1604.06083 (2016) - [i2]Alexander Kovacec, Bernardete Ribeiro
:
Convex Hull Calculations: a Matlab Implementation and Correctness Proofs for the lrs-Algorithm. CoRR abs/1604.06112 (2016) - [i1]Jorge Luis Rivero Pérez
, Bernardete Ribeiro
:
Attribute Learning for Network Intrusion Detection. CoRR abs/1607.08634 (2016) - 2015
- [j32]Ning Chen, Bernardete Ribeiro
, An Chen:
Comparative study of classifier ensembles for cost-sensitive credit risk assessment. Intell. Data Anal. 19(1): 127-144 (2015) - [j31]Bernardete Ribeiro
, Ning Chen:
Aggregated local models via subspace clustering. Intell. Decis. Technol. 9(2): 153-165 (2015) - [j30]Marisa B. Figueiredo, Bernardete Ribeiro
, Ana de Almeida
:
Analysis of trends in seasonal electrical energy consumption via non-negative tensor factorization. Neurocomputing 170: 318-327 (2015) - [c102]Ali AghaeiRad
, Bernardete Ribeiro
:
Credit Prediction Using Transfer of Learning via Self-Organizing Maps to Neural Networks. EANN 2015: 358-365 - [c101]Bernardete Ribeiro
, Ning Chen, Alexander Kovacec
:
A Structural Pattern Mining Approach for Credit Risk Assessment. HAIS 2015: 73-84 - [c100]Filipe Rodrigues, Bernardete Ribeiro, Mariana Lourenço, Francisco C. Pereira:
Learning Supervised Topic Models from Crowds. HCOMP 2015: 160-168 - [c99]Noel Lopes
, Bernardete Ribeiro
:
On the Impact of Distance Metrics in Instance-Based Learning Algorithms. IbPRIA 2015: 48-56 - [c98]Joana Cósta
, Catarina Silva
, Mário Antunes
, Bernardete Ribeiro
:
DOTS: Drift Oriented Tool System. ICONIP (4) 2015: 615-623 - [c97]Bernardete Ribeiro, Andrew H. Sung, Divya Suryakumar, Ram B. Basnet:
The Critical Feature Dimension and Critical Sampling Problems. ICPRAM (1) 2015: 360-366 - [c96]Joana Cósta
, Catarina Silva
, Mário Antunes
, Bernardete Ribeiro
:
The impact of longstanding messages in micro-blogging classification. IJCNN 2015: 1-8 - [c95]Bernardete Ribeiro
, Noel Lopes
, Catarina Silva
:
Learning the hash code with generalised regression neural networks for handwritten signature biometric data retrieval. IJCNN 2015: 1-6 - [c94]Catarina Silva
, Mário Antunes
, Joana Cósta
, Bernardete Ribeiro
:
Active Manifold Learning with Twitter Big Data. INNS Conference on Big Data 2015: 208-215 - 2014
- [j29]Filipe Rodrigues
, Francisco C. Pereira
, Bernardete Ribeiro
:
Sequence labeling with multiple annotators. Mach. Learn. 95(2): 165-181 (2014) - [j28]Noel Lopes
, Bernardete Ribeiro
:
Towards adaptive learning with improved convergence of deep belief networks on graphics processing units. Pattern Recognit. 47(1): 114-127 (2014) - [j27]Marisa B. Figueiredo
, Bernardete Ribeiro
, Ana de Almeida
:
Electrical Signal Source Separation Via Nonnegative Tensor Factorization Using On Site Measurements in a Smart Home. IEEE Trans. Instrum. Meas. 63(2): 364-373 (2014) - [c93]Filipe Rodrigues, Francisco C. Pereira, Bernardete Ribeiro:
Gaussian Process Classification and Active Learning with Multiple Annotators. ICML 2014: 433-441 - [c92]Joana Cósta
, Catarina Silva
, Mário Antunes
, Bernardete Ribeiro
:
Concept Drift Awareness in Twitter Streams. ICMLA 2014: 294-299 - [c91]Bernardete Ribeiro, Ning Chen:
Hashing for Financial Credit Risk Analysis. ICONIP (2) 2014: 395-403 - [c90]Qingzhong Liu, Bernardete Ribeiro
, Andrew H. Sung, Divya Suryakumar:
Mining the Big Data: The Critical Feature Dimension Problem. IIAI-AAI 2014: 499-504 - [c89]Marisa B. Figueiredo, Bernardete Ribeiro
, Ana Maria de Almeida
:
Exploring the performance of non-negative multi-way factorization for household electrical seasonal consumption disaggregation. IJCNN 2014: 899-906 - [c88]Bernardete Ribeiro
, Noel Lopes
, João Gonçalves:
Signature identification via efficient feature selection and GPU-based SVM classifier. IJCNN 2014: 1138-1145 - [c87]Pedro Geadas, Ana Alves, Bernardete Ribeiro
:
Ensemble learning for keyword extraction from event descriptions. IJCNN 2014: 2669-2676 - 2013
- [j26]Ning Chen
, Bernardete Ribeiro
, Armando Vieira, An Chen
:
Clustering and visualization of bankruptcy trajectory using self-organizing map. Expert Syst. Appl. 40(1): 385-393 (2013) - [j25]Joana Cósta
, Catarina Silva
, Mário Antunes
, Bernardete Ribeiro
:
Customized crowds and active learning to improve classification. Expert Syst. Appl. 40(18): 7212-7219 (2013) - [j24]Ning Chen
, An Chen
, Bernardete Ribeiro
:
Influence of class distribution on cost-sensitive learning: A case study of bankruptcy analysis. Intell. Data Anal. 17(3): 423-437 (2013) - [j23]Filipe Rodrigues
, Francisco C. Pereira
, Bernardete Ribeiro
:
Learning from multiple annotators: Distinguishing good from random labelers. Pattern Recognit. Lett. 34(12): 1428-1436 (2013) - [j22]Oswaldo Ludwig, Urbano Nunes
, Bernardete Ribeiro
, Cristiano Premebida
:
Improving the Generalization Capacity of Cascade Classifiers. IEEE Trans. Cybern. 43(6): 2135-2146 (2013) - [c86]Bernardete Ribeiro
, Noel Lopes
:
Extreme Learning Classifier with Deep Concepts. CIARP (1) 2013: 182-189 - [c85]Joana Cósta, Catarina Silva
, Mário Antunes, Bernardete Ribeiro:
Defining Semantic Meta-hashtags for Twitter Classification. ICANNGA 2013: 226-235 - [c84]Ning Chen, Bernardete Ribeiro:
A Consensus Approach for Combining Multiple Classifiers in Cost-Sensitive Bankruptcy Prediction. ICANNGA 2013: 266-276 - [c83]Marisa B. Figueiredo
, Bernardete Ribeiro, Ana Maria de Almeida
:
On the Regularization Parameter Selection for Sparse Code Learning in Electrical Source Separation. ICANNGA 2013: 277-286 - [c82]Joana Cósta
, Catarina Silva
, Bernardete Ribeiro
, Mário Antunes
:
CrowdTargeting: Making Crowds More Personal. SMAP 2013: 21-26 - 2012
- [j21]Bernardete Ribeiro
, Catarina Silva
, Ning Chen
, Armando Vieira, João Carvalho das Neves
:
Enhanced default risk models with SVM+. Expert Syst. Appl. 39(11): 10140-10152 (2012) - [j20]Noel Lopes
, Bernardete Ribeiro
:
Towards a hybrid NMF-based neural approach for face recognition on GPUs. Int. J. Data Min. Model. Manag. 4(2): 138-155 (2012) - [j19]Marisa B. Figueiredo
, Ana de Almeida
, Bernardete Ribeiro
:
Home electrical signal disaggregation for non-intrusive load monitoring (NILM) systems. Neurocomputing 96: 66-73 (2012) - [c81]Noel Lopes
, Bernardete Ribeiro
:
Improving Convergence of Restricted Boltzmann Machines via a Learning Adaptive Step Size. CIARP 2012: 511-518 - [c80]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. EMBC 2012: 621-624 - [c79]Noel Lopes
, Daniel Correia, Carlos Pereira, Bernardete Ribeiro
, António Dourado:
An Incremental Hypersphere Learning Framework for Protein Membership Prediction. HAIS (1) 2012: 429-439 - [c78]Bernardete Ribeiro
, Ning Chen:
Biclustering and Subspace Learning with Regularization for Financial Risk Analysis. ICONIP (3) 2012: 228-235 - [c77]João Gonçalves, Noel Lopes
, Bernardete Ribeiro
:
Multi-threaded Support Vector Machines for Pattern Recognition. ICONIP (2) 2012: 616-623 - [c76]Armando Vieira, Bernardete Ribeiro
, Ning Chen:
Credit Scoring for SME Using a Manifold Supervised Learning Algorithm. IDEAL 2012: 763-770 - [c75]Noel Lopes
, Bernardete Ribeiro
, João Gonçalves:
Restricted Boltzmann Machines and Deep Belief Networks on multi-core processors. IJCNN 2012: 1-7 - 2011
- [j18]Ning Chen
, Bernardete Ribeiro
, Armando Vieira, João M. M. Duarte
, João Carvalho das Neves
:
A genetic algorithm-based approach to cost-sensitive bankruptcy prediction. Expert Syst. Appl. 38(10): 12939-12945 (2011) - [j17]Ning Chen
, Armando Vieira, Bernardete Ribeiro
, João M. M. Duarte
, João Carvalho das Neves
:
A stable credit rating model based on learning vector quantization. Intell. Data Anal. 15(2): 237-250 (2011) - [j16]Noel Lopes
, Bernardete Ribeiro
:
An Evaluation of Multiple Feed-Forward Networks on GPUs. Int. J. Neural Syst. 21(1): 31-47 (2011) - [c74]Bernardete Ribeiro
, Ivo Gonçalves
, Sérgio Santos, Alexander Kovacec
:
Deep Learning Networks for Off-Line Handwritten Signature Recognition. CIARP 2011: 523-532 - [c73]Ning Chen, Bernardete Ribeiro
, Armando Vieira:
Bankruptcy Trajectory Analysis on French Companies Using Self-Organizing Map. EPIA 2011: 407-417 - [c72]