Bernardete Ribeiro

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 114

Top Venues

Publications

Maryam Abbasi, Filipa G. Carvalho, Bernardete Ribeiro, Joel P. Arrais
Predicting drug activity against cancer through genomic profiles and SMILES. Artif. Intell. Medicine 150 (2024)
Miguel Fernandes, Catarina Silva, Alberto Cardoso, Bernardete Ribeiro
The Significance of Latent Data Divergence in Predicting System Degradation. CoRR (2024)
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 (2024)
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 (2024)
Dinis Costa, Bruno Cardoso, Catarina Silva, Joana Cósta, Bernardete Ribeiro
Intelligent System for Automatic Whitefly Detection in Tomato Greenhouses. exp.at (2023)
Dinis Costa, Catarina Silva, Joana Cósta, Bernardete Ribeiro
Smart Pest Detection in the Wild. exp.at (2023)
Catarina Silva, Tiago Faria, Bernardete Ribeiro
Towards Interpretability in Fintech Applications via Knowledge Augmentation. EPIA (1) (2023)
Luis H. M. Torres, Bernardete Ribeiro, Joel Arrais
Convolutional Transformer via Graph Embeddings for Few-shot Toxicity and Side Effect Prediction. ESANN (2023)
Dinis Costa, Catarina Silva, Joana Cósta, Bernardete Ribeiro
Optimizing Object Detection Models via Active Learning. IbPRIA (2023)
Raúl Llasag Rosero, Catarina Silva, Bernardete Ribeiro
Forecasting Functional Time Series Using Federated Learning. EANN (2023)
Dinis Costa, Catarina Silva, Joana Cósta, Bernardete Ribeiro
Improving Pest Detection via Transfer Learning. CIARP (2023)
José Carlos Almeida, Bernardete Ribeiro, Alberto Cardoso
A human-centric approach to aid in assessing maintenance from the sustainable manufacturing perspective. ANT/EDI40 (2023)
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) (2023)
Adriano Durao, Joel P. Arrais, Bernardete Ribeiro, Gabriel Falcao
On the Quantization of Recurrent Neural Networks for Smiles Generation. ICASSP (2023)
Dinis Costa, Catarina Silva, Joana Cósta, Bernardete Ribeiro
Enhancing Pest Detection Models Through Improved Annotations. EPIA (2) (2023)
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 (2023)
Nguyen Huu Phong, Bernardete Ribeiro
Video Action Recognition Collaborative Learning with Dynamics via PSO-ConvNet Transformer. CoRR (2023)
Filipa G. Carvalho, Maryam Abbasi, Bernardete Ribeiro, Joel P. Arrais
Deep Model for Anticancer Drug Response through Genomic Profiles and Compound Structures. CBMS (2022)
Maryam Abbasi, Beatriz P. Santos, Tiago Pereira, Raul Sofia, Nelson R. C. Monteiro, Carlos J. V. Simões, Rui Brito, Bernardete Ribeiro, José Luís Oliveira, Joel P. Arrais
Designing optimized drug candidates with Generative Adversarial Network. J. Cheminformatics 14 (1) (2022)
Nguyen Huu Phong, Bernardete Ribeiro
Action Recognition for American Sign Language. CoRR (2022)
Nguyen Huu Phong, Augusto Santos, Bernardete Ribeiro
PSO-Convolutional Neural Networks with Heterogeneous Learning Rate. CoRR (2022)
Maryam Abbasi, Beatriz P. Santos, Tiago 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) (2022)
Catarina Silva, António Morais, Bernardete Ribeiro
A Generic Approach to Extend Interpretability of Deep Networks. EPIA (2022)
Nguyen Huu Phong, Augusto Santos, Bernardete Ribeiro
PSO-Convolutional Neural Networks With Heterogeneous Learning Rate. IEEE Access 10 (2022)
Tiago Pereira, Maryam Abbasi, Bernardete Ribeiro, Joel P. Arrais
Diversity oriented Deep Reinforcement Learning for targeted molecule generation. J. Cheminformatics 13 (1) (2021)
Beatriz P. Santos, Maryam Abbasi, Tiago Pereira, Bernardete Ribeiro, Joel Arrais
Improvement on Generative Adversarial Network for Targeted Drug Design. ESANN (2021)
Miguel Fernandes, Catarina Silva, Joel Arrais, Alberto Cardoso, Bernardete Ribeiro
Decay Momentum for Improving Federated Learning. ESANN (2021)
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) (2021)
Joaquim Leitão, Carlos M. Fonseca, Paulo Gil, Bernardete Ribeiro, Alberto Cardoso
A Compressive Receding Horizon Approach for Smart Home Energy Management. IEEE Access 9 (2021)
Maryam Abbasi, Tiago Pereira, Beatriz P. Santos, Bernardete Ribeiro, Joel Arrais
Multiobjective Reinforcement Learning in Optimized Drug Design. ESANN (2021)
Filipe Assunção, Nuno Lourenço, Bernardete Ribeiro, Penousal Machado
Fast-DENSER: Fast Deep Evolutionary Network Structured Representation. SoftwareX 14 (2021)
Beatriz P. Santos, Maryam Abbasi, Tiago Pereira, Bernardete Ribeiro, Joel P. Arrais
Optimizing Recurrent Neural Network Architectures for De Novo Drug Design. CBMS (2021)
Tiago Faria, Catarina Silva, Bernardete Ribeiro
Interpreting Decision Patterns in Financial Applications. CIARP (2021)
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) (2021)
Filipe Assunção, Nuno Lourenço, Bernardete Ribeiro, Penousal Machado
Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution. EvoApplications (2020)
Filipe Assunção, Nuno Lourenço, Bernardete Ribeiro, Penousal Machado
Incremental Evolution and Development of Deep Artificial Neural Networks. EuroGP (2020)
Rahul Sharma, Bernardete Ribeiro, Alexandre Miguel Pinto, F. Amílcar Cardoso
Reconstructing Abstract Concepts and their Blends Via Computational Cognitive Modeling. IJCNN (2020)
Nguyen Huu Phong, Bernardete Ribeiro
Rethinking Recurrent Neural Networks and other Improvements for Image Classification. CoRR (2020)
Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro
Boosting dynamic ensemble's performance in Twitter. Neural Comput. Appl. 32 (14) (2020)
Filipe Assunção, Nuno Lourenço, Bernardete Ribeiro, Penousal Machado
Incremental Evolution and Development of Deep Artificial Neural Networks. CoRR (2020)
Joaquim Leitão, Paulo Gil, Bernardete Ribeiro, Alberto Cardoso
A Survey on Home Energy Management. IEEE Access 8 (2020)
Filipe Assunção, Nuno Lourenço, Bernardete Ribeiro, Penousal Machado
Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution. CoRR (2020)
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 (2020)
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) (2020)
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) (2020)
Luis Torres, Nelson R. C. Monteiro, José Luís Oliveira, Joel Arrais, Bernardete Ribeiro
Exploring a Siamese Neural Network Architecture for One-Shot Drug Discovery. BIBE (2020)
Tiago Oliveira Pereira, Maryam Abbasi, Bernardete Ribeiro, Joel P. Arrais
End-to-end Deep Reinforcement Learning for Targeted Drug Generation. ICCBB (2020)
Nguyen Huu Phong, Bernardete Ribeiro
An Improvement for Capsule Networks using Depthwise Separable Convolution. CoRR (2020)
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) (2020)
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)
Nguyen Huu Phong, Bernardete Ribeiro
Advanced Capsule Networks via Context Awareness. CoRR (2019)
Joana Cósta, Catarina Silva, Bernardete Ribeiro
Hierarchical Deep Learning Approach for Plant Disease Detection. IbPRIA (2) (2019)
Bernardete Ribeiro, Ning Chen, Alexander Kovacec
Shaping graph pattern mining for financial risk. Neurocomputing (2019)
Nguyen Huu Phong, Bernardete Ribeiro
Advanced Capsule Networks via Context Awareness. ICANN (1) (2019)
Joaquim Leitão, Paulo Gil, Bernardete Ribeiro, Alberto Cardoso
Smart Home Energy Management Supported by Cloud Computing. exp.at (2019)
Daniel Azevedo, Bernardete Ribeiro, Alberto Cardoso
Online Simulation of Methods to Predict the Remaining Useful Lifetime of Aircraft Components. exp.at (2019)
Daniel Azevedo, Bernardete Ribeiro, Alberto Cardoso
Web-based tool for predicting the Remaining Useful Lifetime of Aircraft Components. exp.at (2019)
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)
Francisco Antunes, Francisco C. Pereira, Bernardete Ribeiro
Directional Grid-Based Search for Simulation Metamodeling Using Active Learning. INTSYS (2019)
Nguyen Huu Phong, Bernardete Ribeiro
An Improvement for Capsule Networks Using Depthwise Separable Convolution. IbPRIA (1) (2019)
Ning Chen, Bernardete Ribeiro, Chaosheng Tang, An Chen
Multi-label learning vector quantization for semi-supervised classification. Intell. Data Anal. 23 (4) (2019)
Nguyen Huu Phong, Bernardete Ribeiro
Offline and Online Deep Learning for Image Recognition. CoRR (2019)
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)
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)
Filipe Assunção, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro
Fast-DENSER++: Evolving Fully-Trained Deep Artificial Neural Networks. CoRR (2019)
Filipe Assunção, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro
DENSER: deep evolutionary network structured representation. Genet. Program. Evolvable Mach. 20 (1) (2019)
Nelson R. C. Monteiro, Bernardete Ribeiro, Joel P. Arrais
Deep Neural Network Architecture for Drug-Target Interaction Prediction. ICANN (Workshop) (2019)
Filipe Assunção, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro
Fast DENSER: Efficient Deep NeuroEvolution. EuroGP (2019)
Rahul Sharma, Bernardete Ribeiro, Alexandre Miguel Pinto, F. Amílcar Cardoso
Perceiving Abstract Concepts Via Evolving Computational Cognitive Modeling. IJCNN (2018)
Mario Dib, Bernardete Ribeiro, Pedro A. Prates
Model Prediction of Defects in Sheet Metal Forming Processes. EANN (2018)
Filipe Assunção, David Sereno, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro
Automatic Evolution of AutoEncoders for Compressed Representations. CEC (2018)
Francisco Antunes, Bernardete Ribeiro, Francisco C. Pereira
Active Learning for Input Space Exploration in Traffic Simulators. IJCNN (2018)
Filipe Rodrigues, Mariana Lourenço, Bernardete Ribeiro, Francisco C. Pereira
Learning Supervised Topic Models for Classification and Regression from Crowds. CoRR (2018)
Filipe Assunção, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro
Using GP Is NEAT: Evolving Compositional Pattern Production Functions. EuroGP (2018)
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)
Filipe Rodrigues, Stanislav S. Borysov, Bernardete Ribeiro, Francisco C. Pereira
A Bayesian Additive Model for Understanding Public Transport Usage in Special Events. CoRR (2018)
Filipe Assunção, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro
DENSER: Deep Evolutionary Network Structured Representation. CoRR (2018)
Filipe Assunção, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro
Evolving the Topology of Large Scale Deep Neural Networks. EuroGP (2018)
Joana Cósta, Catarina Silva, Bernardete Ribeiro
Learning in Twitter Streams with 280 Character Tweets. SoCPaR (2018)
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) (2018)
Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro
Adaptive Learning Models Evaluation in Twitter's Timelines. IJCNN (2018)
Ning Chen, Bernardete Ribeiro, An Chen, Chaosheng Tang
Optimization of selective ensemble for cost-sensitive classification: An empirical study. Intell. Decis. Technol. 12 (4) (2018)
Nelson Oliveira, Joana Cósta, Catarina Silva, Bernardete Ribeiro
Retweet Predictive Model for Predicting the Popularity of Tweets. SoCPaR (2018)
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) (2017)
Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro
Performance Metrics for Model Fusion in Twitter Data Drifts. IbPRIA (2017)
Nguyen Huu Phong, Bernardete Ribeiro
Offline and online deep learning for image recognition. exp.at (2017)
José Silva, Bernardete Ribeiro, Andrew H. Sung
Finding the Critical Sampling of Big Datasets. Conf. Computing Frontiers (2017)
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)
Bernardete Ribeiro, Ning Chen
Financial credit risk assessment via learning-based hashing. Intell. Decis. Technol. 11 (2) (2017)
Francisco Antunes, Bernardete Ribeiro, Francisco C. Pereira
Probabilistic modeling and visualization for bankruptcy prediction. Appl. Soft Comput. 60 (2017)
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) (2017)
Filipe Assunção, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro
Automatic generation of neural networks with structured Grammatical Evolution. CEC (2017)
Sirvan Khalighi, Bernardete Ribeiro, Urbano Nunes
Importance Weighted Import Vector Machine for Unsupervised Domain Adaptation. IEEE Trans. Cybern. 47 (10) (2017)
Ali AghaeiRad, Ning Chen, Bernardete Ribeiro
Improve credit scoring using transfer of learned knowledge from self-organizing map. Neural Comput. Appl. 28 (6) (2017)
Noel Lopes, Bernardete Ribeiro
Novel Trends in Scaling Up Machine Learning Algorithms. ICMLA (2017)
Jorge Luis Rivero Pérez, Bernardete Ribeiro, Kadir Hector Ortiz
A Comparison of Algorithms for Intrusion Detection on Batch and Data Stream Environments. CoRR (2017)
Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro
Adaptive learning for dynamic environments: A comparative approach. Eng. Appl. Artif. Intell. 65 (2017)
Filipe Assunção, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro
Towards the Evolution of Multi-Layered Neural Networks: A Dynamic Structured Grammatical Evolution Approach. CoRR (2017)
Jorge Luis Rivero Pérez, Bernardete Ribeiro, Ning Chen, Fátima Silva Leite
A Grassmannian Approach to Zero-Shot Learning for Network Intrusion Detection. CoRR (2017)
Andrew H. Sung, Bernardete Ribeiro, Qingzhong Liu
Sampling and Evaluating the Big Data for Knowledge Discovery. IoTBD (2016)

Bernardete Ribeiro.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Bernardete Ribeiro