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2020 – today
- 2024
[j66]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)- [j65]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) - [j64]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) - [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, 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) - [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 - [i20]Nguyen Huu Phong, Bernardete Ribeiro:
Video Action Recognition Collaborative Learning with Dynamics via PSO-ConvNet Transformer. CoRR abs/2302.09187 (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) - [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 - [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] - [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) - 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) - [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
- [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) - [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 - [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) - [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 - [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) - [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 - [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) - [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 - [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) - [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]