default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDBernardete Ribeiro
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
Books and Theses
- 2010
[b2]Catarina Silva
, Bernardete Ribeiro:
Inductive Inference for Large Scale Text Classification: Kernel Approaches and Techniques. Studies in Computational Intelligence 255, Springer 2010, ISBN 978-3-642-04532-5- 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
Journal Articles
- 2024
- [j67]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) - [j66]Luis H. M. Torres, Bernardete Ribeiro, Joel P. Arrais:
Multi-scale cross-attention transformer via graph embeddings for few-shot molecular property prediction. Appl. Soft Comput. 153: 111268 (2024) - [j65]Mario Dib, Pedro A. Prates, Bernardete Ribeiro:
SecFL - Secure Federated Learning Framework for predicting defects in sheet metal forming under variability. Expert Syst. Appl. 235: 121139 (2024) - [j64]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) - 2023
- [j63]Luis H. M. Torres, Bernardete Ribeiro, Joel P. Arrais:
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) - 2022
- [j61]Nguyen Huu Phong, Augusto Santos, Bernardete Ribeiro:
PSO-Convolutional Neural Networks With Heterogeneous Learning Rate. IEEE Access 10: 89970-89988 (2022) - [j60]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. J. Cheminformatics 14(1): 40 (2022) - [j59]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. J. Cheminformatics 14(1): 53 (2022) - 2021
- [j58]Joaquim Leitão, Carlos M. Fonseca, Paulo Gil, Bernardete Ribeiro, Alberto Cardoso:
A Compressive Receding Horizon Approach for Smart Home Energy Management. IEEE Access 9: 100407-100435 (2021) - [j57]Tiago Pereira, Maryam Abbasi, José Luís Oliveira, Bernardete Ribeiro, Joel Arrais:
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, Bernardete Ribeiro, Joel P. Arrais:
Diversity oriented Deep Reinforcement Learning for targeted molecule generation. J. Cheminformatics 13(1): 21 (2021) - [j55]Filipe Assunção, Nuno Lourenço, Bernardete Ribeiro, Penousal Machado:
Fast-DENSER: Fast Deep Evolutionary Network Structured Representation. SoftwareX 14: 100694 (2021) - [j54]Nelson R. C. Monteiro, Bernardete Ribeiro, Joel P. Arrais:
Drug-Target Interaction Prediction: End-to-End Deep Learning Approach. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2364-2374 (2021) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 2010
- [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, Andrew H. Sung, Mengyu Qiao, Zhongxue Chen, Bernardete Ribeiro:
An improved approach to steganalysis of JPEG images. Inf. Sci. 180(9): 1643-1655 (2010) - [j13]Catarina Silva, Uros Lotric, Bernardete Ribeiro, Andrej Dobnikar:
Distributed Text Classification With an Ensemble Kernel-Based Learning Approach. IEEE Trans. Syst. Man Cybern. Part C 40(3): 287-297 (2010) - 2009
- [j12]João Paulo Ferreira, Manuel Marques Crisóstomo, A. Paulo Coimbra, Bernardete Ribeiro:
Control of a Biped Robot With Support Vector Regression in Sagittal Plane. IEEE Trans. Instrum. Meas. 58(9): 3167-3176 (2009) - 2008
- [j11]Catarina Silva, Bernardete Ribeiro:
Towards Expanding Relevance Vector Machines to Large Scale Datasets. Int. J. Neural Syst. 18(1): 45-58 (2008) - [j10]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. Inf. Sci. 178(1): 21-36 (2008) - 2007
- [j9]Bernardete Ribeiro, Amândio Marques, Jorge Henriques, Manuel Antunes:
Choosing Real-Time Predictors for Ventricular Arrhythmia Detection. Int. J. Pattern Recognit. Artif. Intell. 21(8): 1249-1263 (2007) - [j8]Catarina Silva, Bernardete Ribeiro:
On Text-based Mining with Active Learning and Background Knowledge Using SVM. Soft Comput. 11(6): 519-530 (2007) - 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) - 2003
- [j4]Catarina Silva, Bernardete Ribeiro:
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) - 2001
- [j2]Filipe Araújo, Bernardete Ribeiro, Luís E. T. Rodrigues:
A neural network for shortest path computation. IEEE Trans. Neural Networks 12(5): 1067-1073 (2001) - 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)
Conference and Workshop Papers
- 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, Catarina Silva, Joana Cósta, Bernardete Ribeiro:
Improving Pest Detection via Transfer Learning. CIARP 2023: 105-116 - [c161]Raúl Llasag Rosero, Catarina Silva, Bernardete Ribeiro:
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, Catarina Silva, Joana Cósta, Bernardete Ribeiro:
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, Catarina Silva, Joana Cósta, Bernardete Ribeiro:
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 - 2022
- [c153]Filipa G. Carvalho, Maryam Abbasi, Bernardete Ribeiro, Joel P. Arrais:
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 - 2021
- [c151]Beatriz P. Santos, Maryam Abbasi, Tiago Pereira, Bernardete Ribeiro, Joel P. Arrais:
Optimizing Recurrent Neural Network Architectures for De Novo Drug Design. CBMS 2021: 172-177 - [c150]Tiago Faria, Catarina Silva, Bernardete Ribeiro:
Interpreting Decision Patterns in Financial Applications. CIARP 2021: 291-300 - [c149]Maryam Abbasi, Tiago Pereira, Beatriz P. Santos, Bernardete Ribeiro, Joel Arrais:
Multiobjective Reinforcement Learning in Optimized Drug Design. ESANN 2021 - [c148]Miguel Fernandes, Catarina Silva, Joel Arrais, Alberto Cardoso, Bernardete Ribeiro:
Decay Momentum for Improving Federated Learning. ESANN 2021 - [c147]Beatriz P. Santos, Maryam Abbasi, Tiago Pereira, Bernardete Ribeiro, Joel Arrais:
Improvement on Generative Adversarial Network for Targeted Drug Design. ESANN 2021 - 2020
- [c146]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. BIBE 2020: 168-175 - [c145]Filipe Assunção, Nuno Lourenço, Bernardete Ribeiro, Penousal Machado:
Incremental Evolution and Development of Deep Artificial Neural Networks. EuroGP 2020: 35-51 - [c144]Filipe Assunção, Nuno Lourenço, Bernardete Ribeiro, Penousal Machado:
Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution. EvoApplications 2020: 530-545 - [c143]Tiago Oliveira Pereira, Maryam Abbasi, Bernardete Ribeiro, Joel P. Arrais:
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 - 2019
- [c141]Filipe Assunção, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro:
Fast DENSER: Efficient Deep NeuroEvolution. EuroGP 2019: 197-212 - [c140]Joaquim Leitão, Paulo Gil, Bernardete Ribeiro, Alberto Cardoso:
Smart Home Energy Management Supported by Cloud Computing. exp.at 2019: 96-101 - [c139]Daniel Azevedo, Bernardete Ribeiro, Alberto Cardoso:
Online Simulation of Methods to Predict the Remaining Useful Lifetime of Aircraft Components. exp.at 2019: 199-203 - [c138]Daniel Azevedo, Bernardete Ribeiro, Alberto Cardoso:
Web-based tool for predicting the Remaining Useful Lifetime of Aircraft Components. exp.at 2019: 231-232 - [c137]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 - [c136]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 - [c135]Joana Cósta, Catarina Silva, Bernardete Ribeiro:
Hierarchical Deep Learning Approach for Plant Disease Detection. IbPRIA (2) 2019: 383-393 - [c134]Nguyen Huu Phong, Bernardete Ribeiro:
An Improvement for Capsule Networks Using Depthwise Separable Convolution. IbPRIA (1) 2019: 521-530 - [c133]Nguyen Huu Phong, Bernardete Ribeiro:
Advanced Capsule Networks via Context Awareness. ICANN (1) 2019: 166-177 - [c132]Nelson R. C. Monteiro, Bernardete Ribeiro, Joel P. Arrais:
Deep Neural Network Architecture for Drug-Target Interaction Prediction. ICANN (Workshop) 2019: 804-809 - [c131]Francisco Antunes, Francisco C. Pereira, Bernardete Ribeiro:
Directional Grid-Based Search for Simulation Metamodeling Using Active Learning. INTSYS 2019: 32-46 - [c130]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. REV 2019: 28-37 - 2018
- [c129]Filipe Assunção, David Sereno, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro:
Automatic Evolution of AutoEncoders for Compressed Representations. CEC 2018: 1-8 - [c128]Mario Dib, Bernardete Ribeiro, Pedro A. Prates:
Model Prediction of Defects in Sheet Metal Forming Processes. EANN 2018: 169-180 - [c127]Filipe Assunção, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro:
Using GP Is NEAT: Evolving Compositional Pattern Production Functions. EuroGP 2018: 3-18 - [c126]Filipe Assunção, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro:
Evolving the Topology of Large Scale Deep Neural Networks. EuroGP 2018: 19-34 - [c125]Francisco Antunes, Bernardete Ribeiro, Francisco C. Pereira:
Active Learning for Input Space Exploration in Traffic Simulators. IJCNN 2018: 1-8 - [c124]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
Adaptive Learning Models Evaluation in Twitter's Timelines. IJCNN 2018: 1-8 - [c123]Rahul Sharma, Bernardete Ribeiro, Alexandre Miguel Pinto, F. Amílcar Cardoso:
Perceiving Abstract Concepts Via Evolving Computational Cognitive Modeling. IJCNN 2018: 1-8 - [c122]Alexandra Vieira, Bernardete Ribeiro, Heloisa Sobral, A. Paulo Coimbra, Manuel M. Crisóstomo, João Paulo Ferreira, Tao Liu:
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, Catarina Silva, Bernardete Ribeiro:
Retweet Predictive Model for Predicting the Popularity of Tweets. SoCPaR 2018: 185-193 - 2017
- [c119]Filipe Assunção, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro:
Automatic generation of neural networks with structured Grammatical Evolution. CEC 2017: 1557-1564 - [c118]José Silva, Bernardete Ribeiro, Andrew H. Sung:
Finding the Critical Sampling of Big Datasets. Conf. Computing Frontiers 2017: 355-360 - [c117]Nguyen Huu Phong, Bernardete Ribeiro:
Offline and online deep learning for image recognition. exp.at 2017: 171-175 - [c116]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
Performance Metrics for Model Fusion in Twitter Data Drifts. IbPRIA 2017: 13-21 - [c115]Noel Lopes, Bernardete Ribeiro:
Novel Trends in Scaling Up Machine Learning Algorithms. ICMLA 2017: 632-636 - [c114]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 - 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, Bernardete Ribeiro:
Trading off Distance Metrics vs Accuracy in Incremental Learning Algorithms. CIARP 2016: 530-538 - [c111]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
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, Carlos Morell Pérez:
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, Qingzhong Liu:
Sampling and Evaluating the Big Data for Knowledge Discovery. IoTBD 2016: 378-382 - [c106]Catarina Silva, Bernardete Ribeiro:
Visualization of Individual Ensemble Classifier Contributions. IPMU (2) 2016: 633-642 - [c105]Catarina Silva, Bernardete Ribeiro:
Multiclass Ensemble of One-against-all SVM Classifiers. ISNN 2016: 531-539 - 2015
- [c104]Ali AghaeiRad, Bernardete Ribeiro:
Credit Prediction Using Transfer of Learning via Self-Organizing Maps to Neural Networks. EANN 2015: 358-365 - [c103]Bernardete Ribeiro, Ning Chen, Alexander Kovacec:
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, Bernardete Ribeiro:
On the Impact of Distance Metrics in Instance-Based Learning Algorithms. IbPRIA 2015: 48-56 - [c100]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
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, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
The impact of longstanding messages in micro-blogging classification. IJCNN 2015: 1-8 - [c97]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 - [c96]Catarina Silva, Mário Antunes, Joana Cósta, Bernardete Ribeiro:
Active Manifold Learning with Twitter Big Data. INNS Conference on Big Data 2015: 208-215 - 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, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
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, Bernardete Ribeiro, Andrew H. Sung, Divya Suryakumar:
Mining the Big Data: The Critical Feature Dimension Problem. IIAI-AAI 2014: 499-504 - [c91]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 - [c90]Bernardete Ribeiro, Noel Lopes, João Gonçalves:
Signature identification via efficient feature selection and GPU-based SVM classifier. IJCNN 2014: 1138-1145 - [c89]Pedro Geadas, Ana Alves, Bernardete Ribeiro:
Ensemble learning for keyword extraction from event descriptions. IJCNN 2014: 2669-2676 - 2013
- [c88]Bernardete Ribeiro, Noel Lopes:
Extreme Learning Classifier with Deep Concepts. CIARP (1) 2013: 182-189 - [c87]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
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, Bernardete Ribeiro, Ana Maria de Almeida:
On the Regularization Parameter Selection for Sparse Code Learning in Electrical Source Separation. ICANNGA 2013: 277-286 - [c84]Joana Cósta, Catarina Silva, Bernardete Ribeiro, Mário Antunes:
CrowdTargeting: Making Crowds More Personal. SMAP 2013: 21-26 - 2012
- [c83]Noel Lopes, Bernardete Ribeiro:
Improving Convergence of Restricted Boltzmann Machines via a Learning Adaptive Step Size. CIARP 2012: 511-518 - [c82]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 - [c81]Noel Lopes, Daniel Correia, Carlos Pereira, Bernardete Ribeiro, António Dourado:
An Incremental Hypersphere Learning Framework for Protein Membership Prediction. HAIS (1) 2012: 429-439 - [c80]Bernardete Ribeiro, Ning Chen:
Biclustering and Subspace Learning with Regularization for Financial Risk Analysis. ICONIP (3) 2012: 228-235 - [c79]João Gonçalves, Noel Lopes, Bernardete Ribeiro:
Multi-threaded Support Vector Machines for Pattern Recognition. ICONIP (2) 2012: 616-623 - [c78]Armando Vieira, Bernardete Ribeiro, Ning Chen:
Credit Scoring for SME Using a Manifold Supervised Learning Algorithm. IDEAL 2012: 763-770 - [c77]Noel Lopes, Bernardete Ribeiro, João Gonçalves:
Restricted Boltzmann Machines and Deep Belief Networks on multi-core processors. IJCNN 2012: 1-7 - 2011
- [c76]Bernardete Ribeiro, Ivo Gonçalves, Sérgio Santos, Alexander Kovacec:
Deep Learning Networks for Off-Line Handwritten Signature Recognition. CIARP 2011: 523-532 - [c75]Ning Chen, Bernardete Ribeiro, Armando Vieira:
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, Ana de Almeida, Bernardete Ribeiro:
An Experimental Study on Electrical Signature Identification of Non-Intrusive Load Monitoring (NILM) Systems. ICANNGA (2) 2011: 31-40 - [c72]Bernardete Ribeiro, Ricardo Quintas, Noel Lopes:
Evaluation of a Resource Allocating Network with Long Term Memory Using GPU. ICANNGA (2) 2011: 41-50 - [c71]Noel Lopes, Bernardete Ribeiro:
A Robust Learning Model for Dealing with Missing Values in Many-Core Architectures. ICANNGA (2) 2011: 108-117 - [c70]Mário Antunes, Catarina Silva, Bernardete Ribeiro, Manuel Eduardo Correia:
A Hybrid AIS-SVM Ensemble Approach for Text Classification. ICANNGA (2) 2011: 342-352 - [c69]Noel Lopes, Bernardete Ribeiro:
An Incremental Class Boundary Preserving Hypersphere Classifier. ICONIP (2) 2011: 690-699 - [c68]Bernardete Ribeiro, Noel Lopes:
Deep Belief Networks for Financial Prediction. ICONIP (3) 2011: 766-773 - [c67]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
The Importance of Precision in Humour Classification. IDEAL 2011: 271-278 - [c66]Catarina Silva, Bernardete Ribeiro:
Purging False Negatives in Cancer Diagnosis Using Incremental Active Learning. IDEAL 2011: 394-402 - [c65]Bernardete Ribeiro, Ning Chen:
Graph weighted subspace learning models in bankruptcy. IJCNN 2011: 2055-2061 - [c64]Noel Lopes, Bernardete Ribeiro:
A fast optimized semi-supervised non-negative Matrix Factorization algorithm. IJCNN 2011: 2495-2500 - [c63]Marisa B. Figueiredo, Ana de Almeida, Bernardete Ribeiro:
Non-intrusive Residential Electrical Consumption Traces. ISAmI 2011: 51-58 - [c62]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
On using crowdsourcing and active learning to improve classification performance. ISDA 2011: 469-474 - [c61]Marisa B. Figueiredo, Ana de Almeida, Bernardete Ribeiro:
Smart home: A novel model for denoising an electrical signal. ISDA 2011: 784-789 - [c60]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
Get Your Jokes Right: Ask the Crowd. MEDI 2011: 178-185 - [c59]Marisa B. Figueiredo, Ana de Almeida, Bernardete Ribeiro:
Wavelet Decomposition and Singular Spectrum Analysis for electrical signal denoising. SMC 2011: 3329-3334 - 2010
- [c58]Noel Lopes, Bernardete Ribeiro:
A Hybrid Face Recognition Approach Using GPUMLib. CIARP 2010: 96-103 - [c57]Noel Lopes, Bernardete Ribeiro, Ricardo Quintas:
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, Armando Vieira, João M. M. Duarte, João Carvalho das Neves:
Weighted Learning Vector Quantization to Cost-Sensitive Learning. ICANN (3) 2010: 277-281 - [c54]Marisa B. Figueiredo, Ana de Almeida, Bernardete Ribeiro, António Martins:
Extracting Features from an Electrical Signal of a Non-Intrusive Load Monitoring System. IDEAL 2010: 210-217 - [c53]Noel Lopes, Bernardete Ribeiro:
Non-negative Matrix Factorization Implementation Using Graphic Processing Units. IDEAL 2010: 275-283 - [c52]Noel Lopes, Bernardete Ribeiro:
A strategy for dealing with missing values by using selective activation neurons in a multi-topology framework. IJCNN 2010: 1-5 - [c51]Bernardete Ribeiro, Noel Lopes, Catarina Silva:
High-performance bankruptcy prediction model using Graphics Processing Units. IJCNN 2010: 1-7 - [c50]Bernardete Ribeiro, Catarina Silva, Armando Vieira, António Gaspar-Cunha, João Carvalho das Neves:
Financial distress model prediction using SVM+. IJCNN 2010: 1-7 - [c49]Catarina Silva, Bernardete Ribeiro, Noel Lopes:
Improving recall values in breast cancer diagnosis with Incremental Background Knowledge. IJCNN 2010: 1-6 - [c48]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. SEAL 2010: 319-328 - 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, Bernardete Ribeiro:
Fast Pattern Classification of Ventricular Arrhythmias Using Graphics Processing Units. CIARP 2009: 603-610 - [c45]Ning Chen, Armando Vieira, João M. M. Duarte, Bernardete Ribeiro, João Carvalho das Neves:
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, Bernardete Ribeiro:
Improving Text Classification Performance with Incremental Background Knowledge. ICANN (1) 2009: 923-931 - [c42]Catarina Silva, Bernardete Ribeiro:
Improving Visualization, Scalability and Performance of Multiclass Problems with SVM Manifold Learning. ICANNGA 2009: 370-379 - [c41]Bernardete Ribeiro, Catarina Silva, Armando Vieira, João Carvalho das Neves:
Extracting Discriminative Features Using Non-negative Matrix Factorization in Financial Distress Data. ICANNGA 2009: 537-547 - [c40]Armando Vieira, João M. M. Duarte, Bernardete Ribeiro, João Carvalho das Neves:
Accurate Prediction of Financial Distress of Companies with Machine Learning Algorithms. ICANNGA 2009: 569-576 - [c39]Catarina Silva, Bernardete Ribeiro:
Knowledge Extraction with Non-Negative Matrix Factorization for Text Classification. IDEAL 2009: 300-308 - [c38]Noel Lopes, Bernardete Ribeiro:
GPU Implementation of the Multiple Back-Propagation Algorithm. IDEAL 2009: 449-456 - 2008
- [c37]Bernardete Ribeiro, Armando Vieira, João Carvalho das Neves:
Supervised Isomap with Dissimilarity Measures in Embedding Learning. CIARP 2008: 389-396 - [c36]Catarina Silva, Bernardete Ribeiro:
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, Bernardete Ribeiro:
Selecting Examples in Manifold Reduced Feature Space for Active Learning. ICMLA 2008: 54-59 - [c32]Armando Vieira, João M. M. Duarte, Bernardete Ribeiro, João Carvalho das Neves:
Improving Personal Credit Scoring with HLVQ-C. ICONIP (2) 2008: 97-103 - [c31]Bernardete Ribeiro, Armando Vieira, João M. M. Duarte, Catarina Silva, João Carvalho das Neves, Qingzhong Liu, Andrew H. Sung:
Learning Manifolds for Bankruptcy Analysis. ICONIP (1) 2008: 723-730 - [c30]Rita Ferreira, Bernardete Ribeiro, Catarina Silva, Qingzhong Liu, Andrew H. Sung:
Building resilient classifiers for LSB matching steganography. IJCNN 2008: 1562-1567 - [c29]Qingzhong Liu, Andrew H. Sung, Bernardete Ribeiro, Rita Ferreira:
Steganalysis of multi-class JPEG images based on expanded Markov features and polynomial fitting. IJCNN 2008: 3352-3357 - [c28]Bernardete Ribeiro, Alberto Cardoso:
Evaluation system for e-learning with pattern mining tools. SMC 2008: 3051-3056 - 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, Bernardete Ribeiro, Andrew H. Sung:
Boosting RVM Classifiers for Large Data Sets. ICANNGA (2) 2007: 228-237 - [c24]Catarina Silva, Bernardete Ribeiro:
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 - 2006
- [c22]Catarina Silva, Bernardete Ribeiro:
Two-Level Hierarchical Hybrid SVM-RVM Classification Model. ICMLA 2006: 89-94 - [c21]Qingzhong Liu, Andrew H. Sung, Jianyun Xu, Bernardete Ribeiro:
Image Complexity and Feature Extraction for Steganalysis of LSB Matching Steganography. ICPR (2) 2006: 267-270 - [c20]Catarina Silva, Bernardete Ribeiro:
Automated Learning of RVM for Large Scale Text Sets: Divide to Conquer. IDEAL 2006: 878-886 - [c19]Bernardete Ribeiro, Armando Vieira, João Carvalho das Neves:
Sparse Bayesian Models: Bankruptcy-Predictors of Choice? IJCNN 2006: 3377-3381 - [c18]Catarina Silva, Bernardete Ribeiro:
Scaling Text Classification with Relevance Vector Machines. SMC 2006: 4186-4191 - 2005
- [c17]Catarina Silva, Bernardete Ribeiro, Uros Lotric:
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
- [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, Bernardete Ribeiro:
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
- [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, Manuel M. Crisóstomo, Bernardete Ribeiro:
MONODA: A Neural Modular Architecture for Obstacle Avoidance without Knowledge of the Environment. IJCNN (6) 2000: 334-342 - 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
- [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
Editorship
- 2022
- [e5]Goreti Marreiros, Bruno Martins, Ana Paiva, Bernardete Ribeiro, Alberto Sardinha:
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] - 2019
- [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] - 2007
- [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, Marcin Iwanowski, Bernardete Ribeiro:
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]
Informal and Other Publications
- 2024
- [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
- [i20]Nguyen Huu Phong, Bernardete Ribeiro:
Video Action Recognition Collaborative Learning with Dynamics via PSO-ConvNet Transformer. CoRR abs/2302.09187 (2023) - 2022
- [i19]Nguyen Huu Phong, Augusto Santos, Bernardete Ribeiro:
PSO-Convolutional Neural Networks with Heterogeneous Learning Rate. CoRR abs/2205.10456 (2022) - [i18]Nguyen Huu Phong, Bernardete Ribeiro:
Action Recognition for American Sign Language. CoRR abs/2205.12261 (2022) - 2020
- [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) - 2019
- [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
- [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
- [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
- [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)
Coauthor Index
Joel Arrais
aka: Joel P. Arrais
aka: Joel P. Arrais
[b2] [j49] [j48] [j40] [j25] [j21] [j13] [j11] [j8] [j4] [c162] [c161] [c160] [c159] [c157] [c156] [c155] [c152] [c150] [c148] [c137] [c136] [c135] [c124] [c121] [c120] [c116] [c111] [c106] [c105] [c100] [c98] [c97] [c96] [c94] [c87] [c84] [c70] [c67] [c66] [c62] [c60] [c51] [c50] [c49] [c43] [c42] [c41] [c39] [c36] [c34] [c33] [c31] [c30] [c25] [c24] [c22] [c20] [c18] [c17] [c16] [c13] [c12] [c7] [i21]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-08 21:30 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
