Rodrigo C. Barros
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
65
Venues
16
Active years
2008–2025
Best venue rank
A*
Where they publish
Papers
65 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | BIBE | Comparing Speech Embeddings and Acoustic Features for Unsupervised Subtyping of Parkinson's Disease. | Jerusa D. Finatto, Rafaela Cappelari Ravazio, Christian Mattjie de Oliveira, Rodrigo C. Barros, Artur Schuh, Vanessa B. dos Santos, Maira R. Olchik, Lucas S. Kupssinsk |
| 2025 | BIBE | Subtyping Parkinson's Disease Via Probabilistic Neuroimaging Data Clustering. | Christian Mattjie de Oliveira, Rafaela Cappelari Ravazio, Joana Meneguzzo Pasquali, Lucas S. Kupssinsk, Luis Vincius de Moura, Rodrigo C. Barros, Daniel Teixeira-dos-Santos, Gabriela M. Pereira, Artur Schuh, lvaro O. Franco, Marco A. M. Schlindwein, Andrei Bieger, Marco Antnio de Bastiani, Eduardo Zimmer, Thomas H. Schlickmann, Lara A. Souza |
| 2025 | CEC | Grammar-based Evolutionary Approaches for Software Effort Estimation. | Mrcio P. Basgalupp, Rodrigo C. Barros, Ricardo Cerri, Ferrante Neri, Pricles B. C. Miranda, Teresa Bernarda Ludermir |
| 2024 | AAAI | LERMO: A Novel Web Game for AI-Enhanced Sign Language Recognition. | Adilson Medronha, Lus Lima, Janana Claudio, Lucas S. Kupssinsk, Rodrigo C. Barros |
| 2024 | CEC | An Experimental Analysis on Automated Machine Learning for Software Defect Prediction. | Mrcio P. Basgalupp, Rodrigo C. Barros, Tiago Silva da Silva, Fbio F. Silveira, Pricles B. C. Miranda, Ferrante Neri |
| 2024 | IJCNN | One Against Many: Exploring Multi-task Learning Generalization in Source-Code Tasks. | Otvio Parraga, Lucas S. Kupssinsk, Christian Mattjie de Oliveira, Rodrigo C. Barros |
| 2023 | BIBE | Zero-Shot Performance of the Segment Anything Model (SAM) in 2D Medical Imaging: A Comprehensive Evaluation and Practical Guidelines. | Christian Mattjie de Oliveira, Luis Vincius de Moura, Rafaela Cappelari Ravazio, Lucas S. Kupssinsk, Otvio Parraga, Marcelo Mussi Delucis, Rodrigo C. Barros |
| 2023 | BIBE | Radiomics for Predicting Oxygen Necessity in COVID-19 Patients Using Longitudinal Lung Computed Tomography. | Rafaela Cappelari Ravazio, Christian Mattjie de Oliveira, Luis Vincius de Moura, Lucas S. Kupssinsk, Rodrigo C. Barros, Denise Cantarelli Machado, Ana Maria Marques da Silva |
| 2023 | IJCNN | Self-Supervised Adversarial Imitation Learning. | Juarez Monteiro, Nathan Gavenski, Felipe Meneguzzi, Rodrigo C. Barros |
| 2022 | IJCNN | COBE: A Natural Language Code Search Robustness Benchmark. | Jonatas Wehrmann, Otvio Parraga, Rodrigo C. Barros |
| 2022 | WACV | Efficient Counterfactual Debiasing for Visual Question Answering. | Camila Kolling, Martin D. Mre, Nathan Gavenski, Eduardo H. P. Pooch, Otvio Parraga, Rodrigo C. Barros |
| 2021 | IJCNN | Model Compression in Object Detection. | Andrey de Aguiar Salvi, Rodrigo C. Barros |
| 2020 | AAAI | Adaptive Cross-Modal Embeddings for Image-Text Alignment. | Jonatas Wehrmann, Camila Kolling, Rodrigo C. Barros |
| 2020 | BMVC | Imitating Unknown Policies via Exploration. | Nathan Gavenski, Juarez Monteiro, Roger Granada, Felipe Meneguzzi, Rodrigo C. Barros |
| 2020 | IJCNN | Component Analysis for Visual Question Answering Architectures. | Camila Kolling, Jonatas Wehrmann, Rodrigo C. Barros |
| 2020 | IJCNN | Augmented Behavioral Cloning from Observation. | Juarez Monteiro, Nathan Gavenski, Roger Granada, Felipe Meneguzzi, Rodrigo C. Barros |
| 2020 | IJCNN | Attention-based 3D Object Reconstruction from a Single Image. | Andrey de Aguiar Salvi, Nathan Gavenski, Eduardo H. P. Pooch, Felipe Tasoniero, Rodrigo C. Barros |
| 2020 | ISVC | How Does Computer Animation Affect Our Perception of Emotions in Video Summarization? | Camila Kolling, Victor Flavio de Andrade Araujo, Rodrigo C. Barros, Soraia Raupp Musse |
| 2020 | MICCAI | Can We Trust Deep Learning Based Diagnosis? The Impact of Domain Shift in Chest Radiograph Classification. | Eduardo H. P. Pooch, Pedro L. Ballester, Rodrigo C. Barros |
| 2020 | MICCAI | Semi-supervised Classification of Chest Radiographs. | Eduardo H. P. Pooch, Pedro L. Ballester, Rodrigo C. Barros |
| 2019 | ICCV | Language-Agnostic Visual-Semantic Embeddings. | Jonatas Wehrmann, Maurcio Armani Lopes, Douglas M. Souza, Rodrigo C. Barros |
| 2019 | IJCNN | Attention-based Adversarial Training for Seamless Nudity Censorship. | Gabriel S. Simes, Jonatas Wehrmann, Rodrigo C. Barros |
| 2019 | IJCNN | Fast and Efficient Text Classification with Class-based Embeddings. | Jonatas Wehrmann, Camila Kolling, Rodrigo C. Barros |
| 2018 | CEC | Increasing Boosting Effectiveness with Estimation of Distribution Algorithms. | Henry E. L. Cagnini, Mrcio Porto Basgalupp, Rodrigo C. Barros |
| 2018 | CVPR | Bidirectional Retrieval Made Simple. | Jonatas Wehrmann, Rodrigo C. Barros |
| 2018 | FlAIRS | Self-Attention for Synopsis-Based Multi-Label Movie Genre Classification. | Jonatas Wehrmann, Mauricio A. Lopes, Rodrigo C. Barros |
| 2018 | ICML | Hierarchical Multi-Label Classification Networks. | Jonatas Wehrmann, Ricardo Cerri, Rodrigo C. Barros |
| 2018 | IJCNN | Real-Time Detection of Pedestrian Traffic Lights for Visually-Impaired People. | Marcelo Cabral Ghilardi, Gabriel S. Simoes, Jonatas Wehrmann, Isabel Harb Manssour, Rodrigo C. Barros |
| 2018 | IJCNN | Evaluating the Feasibility of Deep Learning for Action Recognition in Small Datasets. | Juarez Monteiro, Roger Granada, Joo Paulo Aires, Rodrigo C. Barros |
| 2018 | IJCNN | Seamless Nudity Censorship: an Image-to-Image Translation Approach based on Adversarial Training. | Martin D. Mre, Douglas M. Souza, Jonatas Wehrmann, Rodrigo C. Barros |
| 2018 | SAC | A multi-task neural network for multilingual sentiment classification and language detection on Twitter. | Jonatas Wehrmann, Willian E. Becker, Rodrigo C. Barros |
| 2018 | WACV | Fast Self-Attentive Multimodal Retrieval. | Jonatas Wehrmann, Mauricio A. Lopes, Martin D. Mre, Rodrigo C. Barros |
| 2017 | CEC | Estimation of distribution algorithms for decision-tree induction. | Henry E. L. Cagnini, Rodrigo C. Barros, Mrcio P. Basgalupp |
| 2017 | FlAIRS | An Efficient Deep Neural Architecture for Multilingual Sentiment Analysis in Twitter. | Willian Becker, Jonatas Wehrmann, Henry E. L. Cagnini, Rodrigo C. Barros |
| 2017 | IJCNN | Leveraging deep visual features for content-based movie recommender systems. | Ralph Jose Rassweiler Filho, Jonatas Wehrmann, Rodrigo C. Barros |
| 2017 | IJCNN | Virtual guide dog: An application to support visually-impaired people through deep convolutional neural networks. | Juarez Monteiro, Joo Paulo Aires, Roger Granada, Rodrigo C. Barros, Felipe Meneguzzi |
| 2017 | IJCNN | Deep neural networks for kitchen activity recognition. | Juarez Monteiro, Roger Granada, Rodrigo C. Barros, Felipe Meneguzzi |
| 2017 | IJCNN | A character-based convolutional neural network for language-agnostic Twitter sentiment analysis. | Jonatas Wehrmann, Willian Becker, Henry E. L. Cagnini, Rodrigo C. Barros |
| 2017 | SAC | Convolutions through time for multi-label movie genre classification. | Jonatas Wehrmann, Rodrigo C. Barros |
| 2017 | SAC | Hierarchical multi-label classification with chained neural networks. | Jonatas Wehrmann, Rodrigo C. Barros, Silvia N. das Dres, Ricardo Cerri |
| 2016 | CEC | PASCAL: An EDA for parameterless shape-independent clustering. | Henry E. L. Cagnini, Rodrigo C. Barros |
| 2016 | CEC | Enhancing discrimination power with genetic feature construction: A grammatical evolution approach. | Patricia Miquilini, Rodrigo C. Barros, Vincius Veloso de Melo, Mrcio P. Basgalupp |
| 2016 | IJCNN | Movie genre classification with Convolutional Neural Networks. | Gabriel S. Simoes, Jonatas Wehrmann, Rodrigo C. Barros, Duncan D. Ruiz |
| 2016 | SAC | Medoid-based data clustering with estimation of distribution algorithms. | Henry E. L. Cagnini, Rodrigo C. Barros, Christian Vahl Quevedo, Mrcio P. Basgalupp |
| 2016 | SAC | A meta-learning framework for algorithm recommendation in software fault prediction. | Silvia N. das Dres, Luciano Alves, Duncan D. Ruiz, Rodrigo C. Barros |
| 2015 | CEC | Clustering Molecular Dynamics Trajectories with a univariate estimation of distribution algorithm. | Rodrigo C. Barros, Christian Vahl Quevedo, Renata De Paris, Mrcio P. Basgalupp |
| 2015 | CEC | Evolving balanced decision trees with a multi-population genetic algorithm. | Vili Podgorelec, Saso Karakatic, Rodrigo C. Barros, Mrcio P. Basgalupp |
| 2015 | IJCNN | Hierarchical classification of Gene Ontology-based protein functions with neural networks. | Ricardo Cerri, Rodrigo C. Barros, Andr C. P. L. F. de Carvalho |
| 2015 | SAC | Evolving decision-tree induction algorithms with a multi-objective hyper-heuristic. | Mrcio P. Basgalupp, Rodrigo C. Barros, Vili Podgorelec |
| 2015 | SAC | Evolving regression trees robust to missing data. | Luciano Costa Blomberg, Rodrigo C. Barros, Duncan D. Ruiz |
| 2014 | GECCO | Evolving relational hierarchical classification rules for predicting gene ontology-based protein functions. | Ricardo Cerri, Rodrigo C. Barros, Alex Alves Freitas, Andr Carlos Ponce de Leon Ferreira de Carvalho |
| 2013 | CEC | A grammatical evolution algorithm for generation of Hierarchical Multi-Label Classification rules. | Ricardo Cerri, Rodrigo C. Barros, Andr Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas |
| 2013 | GECCO | A grammatical evolution approach for software effort estimation. | Rodrigo C. Barros, Mrcio P. Basgalupp, Ricardo Cerri, Tiago Silva da Silva, Andr C. P. L. F. de Carvalho |
| 2013 | SAC | Software effort prediction: a hyper-heuristic decision-tree based approach. | Mrcio P. Basgalupp, Rodrigo C. Barros, Tiago Silva da Silva, Andr C. P. L. F. de Carvalho |
| 2012 | GECCO | A hyper-heuristic evolutionary algorithm for automatically designing decision-tree algorithms. | Rodrigo C. Barros, Mrcio P. Basgalupp, Andr Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas |
| 2012 | SAC | Predicting software maintenance effort through evolutionary-based decision trees. | Mrcio P. Basgalupp, Rodrigo C. Barros, Duncan D. Ruiz |
| 2012 | SAC | A genetic algorithm for Hierarchical Multi-Label Classification. | Ricardo Cerri, Rodrigo C. Barros, Andr Carlos Ponce de Leon Ferreira de Carvalho |
| 2012 | SAC | Improving the offline clustering stage of data stream algorithms in scenarios with variable number of clusters. | Elaine R. Faria, Rodrigo C. Barros, Joo Gama, Andr C. P. L. F. de Carvalho |
| 2011 | GECCO | Towards the automatic design of decision tree induction algorithms. | Rodrigo C. Barros, Mrcio P. Basgalupp, Andr Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas |
| 2011 | ISDA | A clustering-based decision tree induction algorithm. | Rodrigo C. Barros, Andr Carlos Ponce de Leon Ferreira de Carvalho, Mrcio P. Basgalupp, Marcos G. Quiles |
| 2011 | ISDA | A bottom-up oblique decision tree induction algorithm. | Rodrigo C. Barros, Ricardo Cerri, Pablo A. Jaskowiak, Andr Carlos Ponce de Leon Ferreira de Carvalho |
| 2011 | ISDA | Hierarchical multi-label classification for protein function prediction: A local approach based on neural networks. | Ricardo Cerri, Rodrigo C. Barros, Andr Carlos Ponce de Leon Ferreira de Carvalho |
| 2010 | SAC | Evolutionary model tree induction. | Rodrigo C. Barros, Mrcio P. Basgalupp, Duncan D. Ruiz, Andr Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas |
| 2009 | SAC | LEGAL-tree: a lexicographic multi-objective genetic algorithm for decision tree induction. | Mrcio P. Basgalupp, Rodrigo C. Barros, Andr Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas, Duncan D. Ruiz |
| 2008 | SEW | Issues on Estimating Software Metrics in a Large Software Operation. | Rodrigo C. Barros, Duncan Dubugras A. Ruiz, Nelson N. Tenrio Jr., Mrcio P. Basgalupp, Karin Becker |