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Bernardete Ribeiro
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2020 – today
- 2024
- [j69]Maryam Abbasi
, Filipa G. Carvalho, Bernardete Ribeiro, Joel P. Arrais:
Predicting drug activity against cancer through genomic profiles and SMILES. Artif. Intell. Medicine 150: 102820 (2024) - [j68]Luis H. M. Torres
Multi-scale cross-attention transformer via graph embeddings for few-shot molecular property prediction. Appl. Soft Comput. 153: 111268 (2024) - [j67]Mario Dib, Pedro A. Prates
SecFL - Secure Federated Learning Framework for predicting defects in sheet metal forming under variability. Expert Syst. Appl. 235: 121139 (2024) - [j66]Pedro Quesado, Luis H. M. Torres
A Hybrid GNN Approach for Improved Molecular Property Prediction. J. Comput. Biol. 31(11): 1146-1157 (2024) - [j65]Luis H. M. Torres, Joel P. Arrais, Bernardete Ribeiro:
Combining graph neural networks and transformers for few-shot nuclear receptor binding activity prediction. J. Cheminformatics 16(1): 109 (2024) - [j64]Raúl Llasag Rosero
Label synchronization for Hybrid Federated Learning in manufacturing and predictive maintenance. J. Intell. Manuf. 35(8): 4015-4034 (2024) - [c165]Dylan Perdigão
Exploring Neural Joint Activity in Spiking Neural Networks for Fraud Detection. CIARP (2) 2024: 45-59 - [c164]Dylan Perdigão
Improving Fraud Detection with 1D-Convolutional Spiking Neural Networks Through Bayesian Optimization. EPIA (3) 2024: 127-138 - [i21]Miguel Fernandes, Catarina Silva, Alberto Cardoso, Bernardete Ribeiro:
The Significance of Latent Data Divergence in Predicting System Degradation. CoRR abs/2406.12914 (2024) - 2023
- [j63]Luis H. M. Torres
Few-shot learning with transformers via graph embeddings for molecular property prediction. Expert Syst. Appl. 225: 120005 (2023) - [j62]Luis H. M. Torres, Joel P. Arrais, Bernardete Ribeiro:
Few-shot learning via graph embeddings with convolutional networks for low-data molecular property prediction. Neural Comput. Appl. 35(18): 13167-13185 (2023) - [c163]José Carlos Almeida, Bernardete Ribeiro, Alberto Cardoso:
A human-centric approach to aid in assessing maintenance from the sustainable manufacturing perspective. ANT/EDI40 2023: 600-607 - [c162]Dinis Costa
Improving Pest Detection via Transfer Learning. CIARP 2023: 105-116 - [c161]Raúl Llasag Rosero
Forecasting Functional Time Series Using Federated Learning. EANN 2023: 491-504 - [c160]Catarina Silva, Tiago Faria, Bernardete Ribeiro:
Towards Interpretability in Fintech Applications via Knowledge Augmentation. EPIA (1) 2023: 106-117 - [c159]Dinis Costa
Enhancing Pest Detection Models Through Improved Annotations. EPIA (2) 2023: 364-375 - [c158]Luis H. M. Torres, Bernardete Ribeiro, Joel Arrais:
Convolutional Transformer via Graph Embeddings for Few-shot Toxicity and Side Effect Prediction. ESANN 2023 - [c157]Dinis Costa, Bruno Cardoso, Catarina Silva, Joana Cósta, Bernardete Ribeiro:
Intelligent System for Automatic Whitefly Detection in Tomato Greenhouses. exp.at 2023: 29-30 - [c156]Dinis Costa, Catarina Silva, Joana Cósta, Bernardete Ribeiro:
Smart Pest Detection in the Wild. exp.at 2023: 111-115 - [c155]Dinis Costa
Optimizing Object Detection Models via Active Learning. IbPRIA 2023: 82-93 - [c154]Adriano Durao, Joel P. Arrais, Bernardete Ribeiro, Gabriel Falcao:
On the Quantization of Recurrent Neural Networks for Smiles Generation. ICASSP 2023: 1-5 - [i20]Nguyen Huu Phong
Video Action Recognition Collaborative Learning with Dynamics via PSO-ConvNet Transformer. CoRR abs/2302.09187 (2023) - 2022
- [j61]Nguyen Huu Phong
PSO-Convolutional Neural Networks With Heterogeneous Learning Rate. IEEE Access 10: 89970-89988 (2022) - [j60]Maryam Abbasi
Designing optimized drug candidates with Generative Adversarial Network. J. Cheminformatics 14(1): 40 (2022) - [j59]Maryam Abbasi
Correction to: Designing optimized drug candidates with Generative Adversarial Network. J. Cheminformatics 14(1): 53 (2022) - [c153]Filipa G. Carvalho, Maryam Abbasi
Deep Model for Anticancer Drug Response through Genomic Profiles and Compound Structures. CBMS 2022: 1-6 - [c152]Catarina Silva, António Morais, Bernardete Ribeiro:
A Generic Approach to Extend Interpretability of Deep Networks. EPIA 2022: 488-499 - [e5]Goreti Marreiros
Progress in Artificial Intelligence - 21st EPIA Conference on Artificial Intelligence, EPIA 2022, Lisbon, Portugal, August 31 - September 2, 2022, Proceedings. Lecture Notes in Computer Science 13566, Springer 2022, ISBN 978-3-031-16473-6 [contents] - [i19]Nguyen Huu Phong
PSO-Convolutional Neural Networks with Heterogeneous Learning Rate. CoRR abs/2205.10456 (2022) - [i18]Nguyen Huu Phong
Action Recognition for American Sign Language. CoRR abs/2205.12261 (2022) - 2021
- [j58]Joaquim Leitão
A Compressive Receding Horizon Approach for Smart Home Energy Management. IEEE Access 9: 100407-100435 (2021) - [j57]Tiago Pereira
Optimizing blood-brain barrier permeation through deep reinforcement learning for de novo drug design. Bioinform. 37(Supplement): 84-92 (2021) - [j56]Tiago Pereira, Maryam Abbasi
Diversity oriented Deep Reinforcement Learning for targeted molecule generation. J. Cheminformatics 13(1): 21 (2021) - [j55]Filipe Assunção, Nuno Lourenço
Fast-DENSER: Fast Deep Evolutionary Network Structured Representation. SoftwareX 14: 100694 (2021) - [j54]Nelson R. C. Monteiro
Drug-Target Interaction Prediction: End-to-End Deep Learning Approach. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2364-2374 (2021) - [c151]Beatriz P. Santos
Optimizing Recurrent Neural Network Architectures for De Novo Drug Design. CBMS 2021: 172-177 - [c150]Tiago Faria, Catarina Silva
Interpreting Decision Patterns in Financial Applications. CIARP 2021: 291-300 - [c149]Maryam Abbasi
Multiobjective Reinforcement Learning in Optimized Drug Design. ESANN 2021 - [c148]Miguel Fernandes
Decay Momentum for Improving Federated Learning. ESANN 2021 - [c147]Beatriz P. Santos, Maryam Abbasi
Improvement on Generative Adversarial Network for Targeted Drug Design. ESANN 2021 - 2020
- [j53]Joaquim Leitão
A Survey on Home Energy Management. IEEE Access 8: 5699-5722 (2020) - [j52]Rahul Sharma
Learning non-convex abstract concepts with regulated activation networks. Ann. Math. Artif. Intell. 88(11): 1207-1235 (2020) - [j51]Ana-Lorena Uribe-Hurtado
GPU-based fast clustering via K-Centres and k-NN mode seeking for geospatial industry applications. Comput. Ind. 122: 103260 (2020) - [j50]Daniel Azevedo
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
NanoSen-AQM: From Sensors to Users. Int. J. Online Biomed. Eng. 16(4): 51-62 (2020) - [j48]Joana Cósta
Boosting dynamic ensemble's performance in Twitter. Neural Comput. Appl. 32(14): 10655-10667 (2020) - [c146]Luis H. M. Torres
Exploring a Siamese Neural Network Architecture for One-Shot Drug Discovery. BIBE 2020: 168-175 - [c145]Filipe Assunção
Incremental Evolution and Development of Deep Artificial Neural Networks. EuroGP 2020: 35-51 - [c144]Filipe Assunção
Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution. EvoApplications 2020: 530-545 - [c143]Tiago Oliveira Pereira
End-to-end Deep Reinforcement Learning for Targeted Drug Generation. ICCBB 2020: 7-13 - [c142]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
DENSER: deep evolutionary network structured representation. Genet. Program. Evolvable Mach. 20(1): 5-35 (2019) - [j46]Ning Chen, Bernardete Ribeiro
Multi-label learning vector quantization for semi-supervised classification. Intell. Data Anal. 23(4): 839-853 (2019) - [j45]Bernardete Ribeiro
Shaping graph pattern mining for financial risk. Neurocomputing 326-327: 123-131 (2019) - [j44]Francisco Antunes
Active learning metamodeling for policy analysis: Application to an emergency medical service simulator. Simul. Model. Pract. Theory 97 (2019) - [c141]Filipe Assunção
Fast DENSER: Efficient Deep NeuroEvolution. EuroGP 2019: 197-212 - [c140]Joaquim Leitão
Smart Home Energy Management Supported by Cloud Computing. exp.at 2019: 96-101 - [c139]Daniel Azevedo, Bernardete Ribeiro
Online Simulation of Methods to Predict the Remaining Useful Lifetime of Aircraft Components. exp.at 2019: 199-203 - [c138]Daniel Azevedo, Bernardete Ribeiro
Web-based tool for predicting the Remaining Useful Lifetime of Aircraft Components. exp.at 2019: 231-232 - [c137]Jorge Sá Silva
A Hybrid Application for Real-Time Air Quality Monitoring. exp.at 2019: 270-271 - [c136]Jorge Sá Silva
An Online Platform For Real-Time Air Quality Monitoring. exp.at 2019: 320-325 - [c135]Joana Cósta, Catarina Silva, Bernardete Ribeiro
Hierarchical Deep Learning Approach for Plant Disease Detection. IbPRIA (2) 2019: 383-393 - [c134]Nguyen Huu Phong
An Improvement for Capsule Networks Using Depthwise Separable Convolution. IbPRIA (1) 2019: 521-530 - [c133]Nguyen Huu Phong
Advanced Capsule Networks via Context Awareness. ICANN (1) 2019: 166-177 - [c132]Nelson R. C. Monteiro
Deep Neural Network Architecture for Drug-Target Interaction Prediction. ICANN (Workshop) 2019: 804-809 - [c131]Francisco Antunes
Directional Grid-Based Search for Simulation Metamodeling Using Active Learning. INTSYS 2019: 32-46 - [c130]Alberto Cardoso
Application for Monitoring and Prediction of Energy and Water Consumption in Domestic Cyber-Physical Systems. REV 2019: 28-37 - [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
Optimization of selective ensemble for cost-sensitive classification: An empirical study. Intell. Decis. Technol. 12(4): 399-410 (2018) - [j42]Francisco Antunes
Efficient Transport Simulation With Restricted Batch-Mode Active Learning. IEEE Trans. Intell. Transp. Syst. 19(11): 3642-3651 (2018) - [c129]Filipe Assunção
Automatic Evolution of AutoEncoders for Compressed Representations. CEC 2018: 1-8 - [c128]Mario Dib, Bernardete Ribeiro
Model Prediction of Defects in Sheet Metal Forming Processes. EANN 2018: 169-180 - [c127]Filipe Assunção
Using GP Is NEAT: Evolving Compositional Pattern Production Functions. EuroGP 2018: 3-18 - [c126]Filipe Assunção
Evolving the Topology of Large Scale Deep Neural Networks. EuroGP 2018: 19-34 - [c125]Francisco Antunes
Active Learning for Input Space Exploration in Traffic Simulators. IJCNN 2018: 1-8 - [c124]Joana Cósta
Adaptive Learning Models Evaluation in Twitter's Timelines. IJCNN 2018: 1-8 - [c123]Rahul Sharma
Perceiving Abstract Concepts Via Evolving Computational Cognitive Modeling. IJCNN 2018: 1-8 - [c122]Alexandra Vieira, Bernardete Ribeiro
Dynamic Human Gait VGRF Reference Profile Generation via Extreme Learning Machine. IJCNN 2018: 1-7 - [c121]Joana Cósta, Catarina Silva, Bernardete Ribeiro
Learning in Twitter Streams with 280 Character Tweets. SoCPaR 2018: 177-184 - [c120]Nelson Oliveira, Joana Cósta
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
Probabilistic modeling and visualization for bankruptcy prediction. Appl. Soft Comput. 60: 831-843 (2017) - [j40]Joana Cósta
Adaptive learning for dynamic environments: A comparative approach. Eng. Appl. Artif. Intell. 65: 336-345 (2017) - [j39]Bernardete Ribeiro
Financial credit risk assessment via learning-based hashing. Intell. Decis. Technol. 11(2): 177-186 (2017) - [j38]Ali AghaeiRad
Improve credit scoring using transfer of learned knowledge from self-organizing map. Neural Comput. Appl. 28(6): 1329-1342 (2017) - [j37]Filipe Rodrigues
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
Learning Supervised Topic Models for Classification and Regression from Crowds. IEEE Trans. Pattern Anal. Mach. Intell. 39(12): 2409-2422 (2017) - [j35]Sirvan Khalighi
Importance Weighted Import Vector Machine for Unsupervised Domain Adaptation. IEEE Trans. Cybern. 47(10): 3280-3292 (2017) - [c119]Filipe Assunção
Automatic generation of neural networks with structured Grammatical Evolution. CEC 2017: 1557-1564 - [c118]José Silva, Bernardete Ribeiro
Finding the Critical Sampling of Big Datasets. Conf. Computing Frontiers 2017: 355-360 - [c117]Nguyen Huu Phong
Offline and online deep learning for image recognition. exp.at 2017: 171-175 - [c116]Joana Cósta
Performance Metrics for Model Fusion in Twitter Data Drifts. IbPRIA 2017: 13-21 - [c115]Noel Lopes
Novel Trends in Scaling Up Machine Learning Algorithms. ICMLA 2017: 632-636 - [c114]Jorge Luis Rivero Pérez, Bernardete Ribeiro
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
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) - [c113]Ana Laranjeira, Xavier Frazão, André Pimentel, Bernardete Ribeiro
How Deep Can We Rely on Emotion Recognition. CIARP 2016: 511-520 - [c112]Noel Lopes
Trading off Distance Metrics vs Accuracy in Incremental Learning Algorithms. CIARP 2016: 530-538 - [c111]Joana Cósta
Choice of Best Samples for Building Ensembles in Dynamic Environments. EANN 2016: 35-47 - [c110]Gonçalo Oliveira, Xavier Frazão, André Pimentel, Bernardete Ribeiro
Automatic graphic logo detection via Fast Region-based Convolutional Networks. IJCNN 2016: 985-991 - [c109]Jorge Luis Rivero Pérez, Bernardete Ribeiro
Mahalanobis distance metric learning algorithm for instance-based data stream classification. IJCNN 2016: 1857-1862 - [c108]Jorge Luis Rivero Pérez, Bernardete Ribeiro
Attribute Learning for Network Intrusion Detection. INNS Conference on Big Data 2016: 39-49 - [c107]Andrew H. Sung, Bernardete Ribeiro
Sampling and Evaluating the Big Data for Knowledge Discovery. IoTBD 2016: 378-382 - [c106]Catarina Silva
Visualization of Individual Ensemble Classifier Contributions. IPMU (2) 2016: 633-642 - [c105]Catarina Silva
Multiclass Ensemble of One-against-all SVM Classifiers. ISNN 2016: 531-539 - [i4]Jorge Luis Rivero 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
Attribute Learning for Network Intrusion Detection. CoRR abs/1607.08634 (2016) - 2015
- [j32]Ning Chen, Bernardete Ribeiro
Comparative study of classifier ensembles for cost-sensitive credit risk assessment. Intell. Data Anal. 19(1): 127-144 (2015) - [j31]Bernardete Ribeiro
Aggregated local models via subspace clustering. Intell. Decis. Technol. 9(2): 153-165 (2015) - [j30]Marisa B. Figueiredo, Bernardete Ribeiro
Analysis of trends in seasonal electrical energy consumption via non-negative tensor factorization. Neurocomputing 170: 318-327 (2015) - [c104]Ali AghaeiRad
Credit Prediction Using Transfer of Learning via Self-Organizing Maps to Neural Networks. EANN 2015: 358-365 - [c103]Bernardete Ribeiro
A Structural Pattern Mining Approach for Credit Risk Assessment. HAIS 2015: 73-84 - [c102]Filipe Rodrigues, Bernardete Ribeiro, Mariana Lourenço, Francisco C. Pereira:
Learning Supervised Topic Models from Crowds. HCOMP 2015: 160-168 - [c101]Noel Lopes
On the Impact of Distance Metrics in Instance-Based Learning Algorithms. IbPRIA 2015: 48-56 - [c100]Joana Cósta
DOTS: Drift Oriented Tool System. ICONIP (4) 2015: 615-623 - [c99]Bernardete Ribeiro, Andrew H. Sung, Divya Suryakumar, Ram B. Basnet:
The Critical Feature Dimension and Critical Sampling Problems. ICPRAM (1) 2015: 360-366 - [c98]Joana Cósta
The impact of longstanding messages in micro-blogging classification. IJCNN 2015: 1-8 - [c97]Bernardete Ribeiro
Learning the hash code with generalised regression neural networks for handwritten signature biometric data retrieval. IJCNN 2015: 1-6 - [c96]Catarina Silva
Active Manifold Learning with Twitter Big Data. INNS Conference on Big Data 2015: 208-215 - 2014
- [j29]Filipe Rodrigues
Sequence labeling with multiple annotators. Mach. Learn. 95(2): 165-181 (2014) - [j28]Noel Lopes
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
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) - [c95]Filipe Rodrigues, Francisco C. Pereira, Bernardete Ribeiro:
Gaussian Process Classification and Active Learning with Multiple Annotators. ICML 2014: 433-441 - [c94]Joana Cósta
Concept Drift Awareness in Twitter Streams. ICMLA 2014: 294-299 - [c93]Bernardete Ribeiro, Ning Chen:
Hashing for Financial Credit Risk Analysis. ICONIP (2) 2014: 395-403 - [c92]Qingzhong Liu
Mining the Big Data: The Critical Feature Dimension Problem. IIAI-AAI 2014: 499-504 - [c91]Marisa B. Figueiredo, Bernardete Ribeiro
Exploring the performance of non-negative multi-way factorization for household electrical seasonal consumption disaggregation. IJCNN 2014: 899-906 - [c90]Bernardete Ribeiro
Signature identification via efficient feature selection and GPU-based SVM classifier. IJCNN 2014: 1138-1145 - [c89]Pedro Geadas, Ana Alves
Ensemble learning for keyword extraction from event descriptions. IJCNN 2014: 2669-2676 - 2013
- [j26]Ning Chen
Clustering and visualization of bankruptcy trajectory using self-organizing map. Expert Syst. Appl. 40(1): 385-393 (2013) - [j25]Joana Cósta
Customized crowds and active learning to improve classification. Expert Syst. Appl. 40(18): 7212-7219 (2013) - [j24]Ning Chen
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
Learning from multiple annotators: Distinguishing good from random labelers. Pattern Recognit. Lett. 34(12): 1428-1436 (2013) - [j22]Oswaldo Ludwig, Urbano Nunes
Improving the Generalization Capacity of Cascade Classifiers. IEEE Trans. Cybern. 43(6): 2135-2146 (2013) - [c88]Bernardete Ribeiro
Extreme Learning Classifier with Deep Concepts. CIARP (1) 2013: 182-189 - [c87]Joana Cósta, Catarina Silva
Defining Semantic Meta-hashtags for Twitter Classification. ICANNGA 2013: 226-235 - [c86]Ning Chen, Bernardete Ribeiro:
A Consensus Approach for Combining Multiple Classifiers in Cost-Sensitive Bankruptcy Prediction. ICANNGA 2013: 266-276 - [c85]Marisa B. Figueiredo
On the Regularization Parameter Selection for Sparse Code Learning in Electrical Source Separation. ICANNGA 2013: 277-286 - [c84]Joana Cósta
CrowdTargeting: Making Crowds More Personal. SMAP 2013: 21-26 - 2012
- [j21]Bernardete Ribeiro
Enhanced default risk models with SVM+. Expert Syst. Appl. 39(11): 10140-10152 (2012) - [j20]Noel Lopes
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
Home electrical signal disaggregation for non-intrusive load monitoring (NILM) systems. Neurocomputing 96: 66-73 (2012) - [c83]Noel Lopes
Improving Convergence of Restricted Boltzmann Machines via a Learning Adaptive Step Size. CIARP 2012: 511-518 - [c82]Bruno Direito
Space time frequency (STF) code tensor for the characterization of the epileptic preictal stage. EMBC 2012: 621-624 - [c81]Noel Lopes
An Incremental Hypersphere Learning Framework for Protein Membership Prediction. HAIS (1) 2012: 429-439 - [c80]Bernardete Ribeiro
Biclustering and Subspace Learning with Regularization for Financial Risk Analysis. ICONIP (3) 2012: 228-235 - [c79]João Gonçalves, Noel Lopes
Multi-threaded Support Vector Machines for Pattern Recognition. ICONIP (2) 2012: 616-623 - [c78]Armando Vieira
Credit Scoring for SME Using a Manifold Supervised Learning Algorithm. IDEAL 2012: 763-770 - [c77]Noel Lopes
Restricted Boltzmann Machines and Deep Belief Networks on multi-core processors. IJCNN 2012: 1-7 - 2011
- [j18]Ning Chen
A genetic algorithm-based approach to cost-sensitive bankruptcy prediction. Expert Syst. Appl. 38(10): 12939-12945 (2011) - [j17]Ning Chen
A stable credit rating model based on learning vector quantization. Intell. Data Anal. 15(2): 237-250 (2011) - [j16]Noel Lopes
An Evaluation of Multiple Feed-Forward Networks on GPUs. Int. J. Neural Syst. 21(1): 31-47 (2011) - [c76]Bernardete Ribeiro
Deep Learning Networks for Off-Line Handwritten Signature Recognition. CIARP 2011: 523-532 - [c75]Ning Chen, Bernardete Ribeiro
Bankruptcy Trajectory Analysis on French Companies Using Self-Organizing Map. EPIA 2011: 407-417 - [c74]Mengyu Qiao, Andrew H. Sung, Qingzhong Liu, Bernardete Ribeiro:
Locating Information-hiding in MP3 Audio. ICAART (1) 2011: 504-507 - [c73]Marisa B. Figueiredo
An Experimental Study on Electrical Signature Identification of Non-Intrusive Load Monitoring (NILM) Systems. ICANNGA (2) 2011: 31-40 - [c72]Bernardete Ribeiro
Evaluation of a Resource Allocating Network with Long Term Memory Using GPU. ICANNGA (2) 2011: 41-50 - [c71]Noel Lopes
A Robust Learning Model for Dealing with Missing Values in Many-Core Architectures. ICANNGA (2) 2011: 108-117 - [c70]Mário Antunes
A Hybrid AIS-SVM Ensemble Approach for Text Classification. ICANNGA (2) 2011: 342-352 - [c69]Noel Lopes
An Incremental Class Boundary Preserving Hypersphere Classifier. ICONIP (2) 2011: 690-699 - [c68]Bernardete Ribeiro
Deep Belief Networks for Financial Prediction. ICONIP (3) 2011: 766-773 - [c67]Joana Cósta
The Importance of Precision in Humour Classification. IDEAL 2011: 271-278 - [c66]Catarina Silva
Purging False Negatives in Cancer Diagnosis Using Incremental Active Learning. IDEAL 2011: 394-402 - [c65]Bernardete Ribeiro
Graph weighted subspace learning models in bankruptcy. IJCNN 2011: 2055-2061 - [c64]Noel Lopes
A fast optimized semi-supervised non-negative Matrix Factorization algorithm. IJCNN 2011: 2495-2500 - [c63]Marisa B. Figueiredo
Non-intrusive Residential Electrical Consumption Traces. ISAmI 2011: 51-58 - [c62]Joana Cósta
On using crowdsourcing and active learning to improve classification performance. ISDA 2011: 469-474 - [c61]Marisa B. Figueiredo
Smart home: A novel model for denoising an electrical signal. ISDA 2011: 784-789 - [c60]Joana Cósta
Get Your Jokes Right: Ask the Crowd. MEDI 2011: 178-185 - [c59]Marisa B. Figueiredo
Wavelet Decomposition and Singular Spectrum Analysis for electrical signal denoising. SMC 2011: 3329-3334 - 2010
- [b2]Catarina Silva
Inductive Inference for Large Scale Text Classification: Kernel Approaches and Techniques. Studies in Computational Intelligence 255, Springer 2010, ISBN 978-3-642-04532-5 - [j15]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. Int. J. Nat. Comput. Res. 1(2): 71-91 (2010) - [j14]Qingzhong Liu
An improved approach to steganalysis of JPEG images. Inf. Sci. 180(9): 1643-1655 (2010) - [j13]Catarina Silva
Distributed Text Classification With an Ensemble Kernel-Based Learning Approach. IEEE Trans. Syst. Man Cybern. Part C 40(3): 287-297 (2010) - [c58]Noel Lopes
A Hybrid Face Recognition Approach Using GPUMLib. CIARP 2010: 96-103 - [c57]Noel Lopes
GPUMLib: A new Library to combine Machine Learning algorithms with Graphics Processing Units. HIS 2010: 229-232 - [c56]Noel Lopes, Bernardete Ribeiro:
Stochastic GPU-based Multithread Implementation of Multiple Back-propagation. ICAART (1) 2010: 271-276 - [c55]Ning Chen, Bernardete Ribeiro
Weighted Learning Vector Quantization to Cost-Sensitive Learning. ICANN (3) 2010: 277-281 - [c54]Marisa B. Figueiredo
Extracting Features from an Electrical Signal of a Non-Intrusive Load Monitoring System. IDEAL 2010: 210-217 - [c53]Noel Lopes
Non-negative Matrix Factorization Implementation Using Graphic Processing Units. IDEAL 2010: 275-283 - [c52]Noel Lopes
A strategy for dealing with missing values by using selective activation neurons in a multi-topology framework. IJCNN 2010: 1-5 - [c51]Bernardete Ribeiro
High-performance bankruptcy prediction model using Graphics Processing Units. IJCNN 2010: 1-7 - [c50]Bernardete Ribeiro
Financial distress model prediction using SVM+. IJCNN 2010: 1-7 - [c49]Catarina Silva
Improving recall values in breast cancer diagnosis with Incremental Background Knowledge. IJCNN 2010: 1-6 - [c48]António Gaspar-Cunha
Multi-Objective Evolutionary Algorithms for Feature Selection: Application in Bankruptcy Prediction. SEAL 2010: 319-328
2000 – 2009
- 2009
- [j12]João Paulo Ferreira
Control of a Biped Robot With Support Vector Regression in Sagittal Plane. IEEE Trans. Instrum. Meas. 58(9): 3167-3176 (2009) - [c47]Qingzhong Liu, Andrew H. Sung, Bernardete Ribeiro, Mengyu Qiao:
Classification of Mass Spectrometry Data - Using Manifold and Supervised Distance Metric Learning. BIOSIGNALS 2009: 396-401 - [c46]Noel Lopes
Fast Pattern Classification of Ventricular Arrhythmias Using Graphics Processing Units. CIARP 2009: 603-610 - [c45]Ning Chen, Armando Vieira
Cost-Sensitive Learning Vector Quantization for Financial Distress Prediction. EPIA 2009: 374-385 - [c44]Qingzhong Liu, Andrew H. Sung, Mengyu Qiao, Bernardete Ribeiro:
Using Expanded Markov Process and Joint Distribution Features for JPEG Steganalysis. ICAART 2009: 226-231 - [c43]Catarina Silva
Improving Text Classification Performance with Incremental Background Knowledge. ICANN (1) 2009: 923-931 - [c42]Catarina Silva
Improving Visualization, Scalability and Performance of Multiclass Problems with SVM Manifold Learning. ICANNGA 2009: 370-379 - [c41]Bernardete Ribeiro
Extracting Discriminative Features Using Non-negative Matrix Factorization in Financial Distress Data. ICANNGA 2009: 537-547 - [c40]Armando Vieira
Accurate Prediction of Financial Distress of Companies with Machine Learning Algorithms. ICANNGA 2009: 569-576 - [c39]Catarina Silva
Knowledge Extraction with Non-Negative Matrix Factorization for Text Classification. IDEAL 2009: 300-308 - [c38]Noel Lopes
GPU Implementation of the Multiple Back-Propagation Algorithm. IDEAL 2009: 449-456 - 2008
- [j11]Catarina Silva
Towards Expanding Relevance Vector Machines to Large Scale Datasets. Int. J. Neural Syst. 18(1): 45-58 (2008) - [j10]Qingzhong Liu
Image complexity and feature mining for steganalysis of least significant bit matching steganography. Inf. Sci. 178(1): 21-36 (2008) - [c37]Bernardete Ribeiro
Supervised Isomap with Dissimilarity Measures in Embedding Learning. CIARP 2008: 389-396 - [c36]Catarina Silva
Text Classification on Embedded Manifolds. IBERAMIA 2008: 272-281 - [c35]Bartlomiej Beliczynski, Bernardete Ribeiro
Several Enhancements to Hermite-Based Approximation of One-Variable Functions. ICANN (1) 2008: 11-20 - [c34]Catarina Silva, Bernardete Ribeiro, Uros Lotric, Andrej Dobnikar:
Distributed Ensemble Learning in Text Classification. ICEIS (2) 2008: 420-423 - [c33]Catarina Silva
Selecting Examples in Manifold Reduced Feature Space for Active Learning. ICMLA 2008: 54-59 - [c32]Armando Vieira
Improving Personal Credit Scoring with HLVQ-C. ICONIP (2) 2008: 97-103 - [c31]Bernardete Ribeiro
Learning Manifolds for Bankruptcy Analysis. ICONIP (1) 2008: 723-730 - [c30]Rita Ferreira, Bernardete Ribeiro
Building resilient classifiers for LSB matching steganography. IJCNN 2008: 1562-1567 - [c29]Qingzhong Liu
Steganalysis of multi-class JPEG images based on expanded Markov features and polynomial fitting. IJCNN 2008: 3352-3357 - [c28]Bernardete Ribeiro
Evaluation system for e-learning with pattern mining tools. SMC 2008: 3051-3056 - 2007
- [j9]Bernardete Ribeiro
Choosing Real-Time Predictors for Ventricular Arrhythmia Detection. Int. J. Pattern Recognit. Artif. Intell. 21(8): 1249-1263 (2007) - [j8]Catarina Silva
On Text-based Mining with Active Learning and Background Knowledge Using SVM. Soft Comput. 11(6): 519-530 (2007) - [c27]Mário Brito, Jorge Henriques, Paulo Carvalho, Bernardete Ribeiro, Manuel Antunes:
An ECG compression approach based on a segment dictionary and bezier approximations. EUSIPCO 2007: 2504-2508 - [c26]Bernardete Ribeiro:
Support, Relevance and Spectral Learning for Time Series. ICANNGA (2) 2007: 199-207 - [c25]Catarina Silva
Boosting RVM Classifiers for Large Data Sets. ICANNGA (2) 2007: 228-237 - [c24]Catarina Silva
Combining active learning and relevance vector machines for text classification. ICMLA 2007: 130-135 - [c23]Krishna Yendrapalli, Srinivas Mukkamala, Andrew H. Sung, Bernardete Ribeiro:
Biased Support Vector Machines and Kernel Methods for Intrusion Detection. World Congress on Engineering 2007: 321-325 - [e2]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. Lecture Notes in Computer Science 4431, Springer 2007, ISBN 978-3-540-71589-4 [contents] - [e1]Bartlomiej Beliczynski, Andrzej Dzielinski
Adaptive and Natural Computing Algorithms, 8th International Conference, ICANNGA 2007, Warsaw, Poland, April 11-14, 2007, Proceedings, Part II. Lecture Notes in Computer Science 4432, Springer 2007, ISBN 978-3-540-71590-0 [contents] - 2006
- [c22]Catarina Silva
Two-Level Hierarchical Hybrid SVM-RVM Classification Model. ICMLA 2006: 89-94 - [c21]Qingzhong Liu
Image Complexity and Feature Extraction for Steganalysis of LSB Matching Steganography. ICPR (2) 2006: 267-270 - [c20]Catarina Silva
Automated Learning of RVM for Large Scale Text Sets: Divide to Conquer. IDEAL 2006: 878-886 - [c19]Bernardete Ribeiro, Armando Vieira
Sparse Bayesian Models: Bankruptcy-Predictors of Choice? IJCNN 2006: 3377-3381 - [c18]Catarina Silva
Scaling Text Classification with Relevance Vector Machines. SMC 2006: 4186-4191 - 2005
- [j7]Bernardete Ribeiro:
On the Evaluation of Minkovsky Kernel for SVMs. Neural Parallel Sci. Comput. 13(1): 77-90 (2005) - [j6]Bernardete Ribeiro:
Selective Classification and Regression Models Based on Support Vector Clustering. Neural Parallel Sci. Comput. 13: 327-336 (2005) - [j5]Bernardete Ribeiro
Support vector machines for quality monitoring in a plastic injection molding process. IEEE Trans. Syst. Man Cybern. Part C 35(3): 401-410 (2005) - [c17]Catarina Silva
Speeding-up text categorization in a grid computing environment. ICMLA 2005 - 2004
- [c16]Catarina Silva, Bernardete Ribeiro:
Margin-Based Active Learning and Background Knowledge in Text Mining. HIS 2004: 8-13 - 2003
- [j4]Catarina Silva
Navigating mobile robots with a modular neural architecture. Neural Comput. Appl. 12(3-4): 200-211 (2003) - [j3]Noel Lopes, Bernardete Ribeiro:
An Efficient Gradient-based Learning Algorithm Applied to Neural Networks with Selective Actuation Neurons. Neural Parallel Sci. Comput. 11(3): 253-272 (2003) - [c15]Bernardete Ribeiro:
Learning Adaptive Kernels for Model Diagnosis. HIS 2003: 563-571 - [c14]N. Costa, Bernardete Ribeiro:
A framework for neural quality control systems design. ICANNGA 2003: 101-106 - [c13]Catarina Silva
An Inductive Inference Approach to Large Scale Text Categorisation. ICANNGA 2003: 126-130 - [c12]Catarina Silva, Bernardete Ribeiro:
On the Evaluation of Text Processing in Text Categorization. ICMLA 2003: 121-127 - 2002
- [c11]Bernardete Ribeiro, Paulo Carvalho:
Mercer's Kernel Based Learning for Fault Detection. HIS 2002: 341-350 - [c10]Paulo Carvalho, Amâncio Santos, António Dourado, Bernardete Ribeiro:
Bayes Information Criterion for Tikhonov Regularization with Linear Constraints: Application to Spectral Data Estimation. ICPR (1) 2002: 696-700 - 2001
- [j2]Filipe Araújo
A neural network for shortest path computation. IEEE Trans. Neural Networks 12(5): 1067-1073 (2001) - [c9]Paulo Carvalho, Amâncio Santos, António Dourado, Bernardete Ribeiro:
Learning Spectral Calibration Parameters For Color Inspection. ICCV 2001: 660-667 - [c8]Paulo Carvalho, Amâncio Santos, Bernardete Ribeiro, António Dourado:
On the estimation of spectral data: a genetic algorithm approach. ICIP (1) 2001: 866-869 - 2000
- [c7]Catarina Silva
MONODA: A Neural Modular Architecture for Obstacle Avoidance without Knowledge of the Environment. IJCNN (6) 2000: 334-342
1990 – 1999
- 1999
- [j1]Paulo Carvalho, N. Costa, Bernardete Ribeiro
On the Use of Neural Networks and Geometrical Criteria for Localisation of Highly Irregular Elliptical Shapes. Pattern Anal. Appl. 2(4): 321-342 (1999) - [c6]N. Costa, Bernardete Ribeiro:
A neural prediction model for monitoring and fault diagnosis of a plastic injection moulding process. ECC 1999: 2381-2385 - [c5]N. Costa, António Gaspar-Cunha, Bernardete Ribeiro:
Monitoring an Industrial Plastic Injection Moulding Machine Using Neural Networks. ICANNGA 1999: 89-94 - [c4]Bernardete Ribeiro:
Fault detection in a thermoplastic injection molding process using neural networks. IJCNN 1999: 3352-3355 - 1997
- [c3]Bernardete Ribeiro, Alberto Cardoso
A Model-based Neural Network Controller for a Process Trainer Laboratory Equipment. ICANNGA 1997: 601-605 - 1995
- [b1]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 - [c2]Bernardete Ribeiro, Ernesto Costa, António Dourado:
Lime Kiln Fault Detection and Diagnosis by Neural Networks. ICANNGA 1995: 112-115 - [c1]Bernardete Ribeiro, António Dourado, Ernesto Costa:
Industrial Kiln Multivariable Control: MNN and RBFNN Approaches. ICANNGA 1995: 408-411
Coauthor Index
Joel Arrais
aka: Joel P. Arrais
aka: Joel P. Arrais
[j64] [c165] [c164] [i21] [c162] [c161] [c160] [c159] [c157] [c156] [c155] [c152] [c150] [c148] [j49] [j48] [c137] [c136] [c135] [c124] [c121] [c120] [j40] [c116] [c111] [c106] [c105] [c100] [c98] [c97] [c96] [c94] [j25] [c87] [c84] [j21] [c70] [c67] [c66] [c62] [c60] [b2] [j13] [c51] [c50] [c49] [c43] [c42] [c41] [c39] [j11] [c36] [c34] [c33] [c31] [c30] [j8] [c25] [c24] [c22] [c20] [c18] [c17] [c16] [j4] [c13] [c12] [c7]
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