Google
Google Scholar
Semantic Scholar
MS Academic
CiteSeerX
ORCIDBernardete Ribeiro
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
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]