Rodrigo C. Barros

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 68

Top Venues

Publications

Adilson Medronha, Luís Lima, Janaína Claudio, Lucas S. Kupssinskü, Rodrigo C. Barros
LERMO: A Novel Web Game for AI-Enhanced Sign Language Recognition. AAAI (2024)
Márcio P. Basgalupp, Rodrigo C. Barros, Tiago Silva da Silva, Fábio F. Silveira, Péricles B. C. de Miranda, Ferrante Neri
An Experimental Analysis on Automated Machine Learning for Software Defect Prediction. CEC (2024)
Christian Mattjie de Oliveira, Luis Vinícius de Moura, Rafaela Cappelari Ravazio, Lucas S. Kupssinskü, Otávio Parraga, Marcelo Mussi Delucis, Rodrigo C. Barros
Zero-Shot Performance of the Segment Anything Model (SAM) in 2D Medical Imaging: A Comprehensive Evaluation and Practical Guidelines. BIBE (2023)
Henry E. L. Cagnini, Silvia N. das Dôres, Alex Alves Freitas, Rodrigo C. Barros
A survey of evolutionary algorithms for supervised ensemble learning. Knowl. Eng. Rev. 38 (2023)
Juarez Monteiro, Nathan Gavenski, Felipe Meneguzzi, Rodrigo C. Barros
Self-Supervised Adversarial Imitation Learning. IJCNN (2023)
Rafaela Cappelari Ravazio, Christian Mattjie de Oliveira, Luis Vinícius de Moura, Lucas S. Kupssinskü, Rodrigo C. Barros, Denise Cantarelli Machado, Ana Maria Marques da Silva
Radiomics for Predicting Oxygen Necessity in COVID-19 Patients Using Longitudinal Lung Computed Tomography. BIBE (2023)
Juarez Monteiro, Nathan Gavenski, Felipe Meneguzzi, Rodrigo C. Barros
Self-Supervised Adversarial Imitation Learning. CoRR (2023)
Luís Fernando Bittencourt, Otávio Parraga, Duncan D. Ruiz, Isabel H. Manssour, Soraia Raupp Musse, Rodrigo C. Barros
Leveraging Textual Descriptions for House Price Valuation. BRACIS (1) (2022)
Otávio Parraga, Martin D. More, Christian Mattjie de Oliveira, Nathan S. Gavenski, Lucas S. Kupssinskü, Adilson Medronha, Luis Vinícius de Moura, Gabriel S. Simões, Rodrigo C. Barros
Debiasing Methods for Fairer Neural Models in Vision and Language Research: A Survey. CoRR (2022)
Nathan Gavenski, Juarez Monteiro, Adilson Medronha, Rodrigo C. Barros
How Resilient Are Imitation Learning Methods to Sub-optimal Experts? BRACIS (2) (2022)
Camila Kolling, Martin D. More, Nathan Gavenski, Eduardo H. P. Pooch, Otávio Parraga, Rodrigo C. Barros
Efficient Counterfactual Debiasing for Visual Question Answering. WACV (2022)
Jonatas Wehrmann, Otávio Parraga, Rodrigo C. Barros
COBE: A Natural Language Code Search Robustness Benchmark. IJCNN (2022)
Luis Vinícius de Moura, Christian Mattjie de Oliveira, Caroline Machado Dartora, Rodrigo C. Barros, Ana Maria Marques da Silva
Explainable Machine Learning for COVID-19 Pneumonia Classification With Texture-Based Features Extraction in Chest Radiography. Frontiers Digit. Health 3 (2021)
Andrey de Aguiar Salvi, Rodrigo C. Barros
Model Compression in Object Detection. IJCNN (2021)
Márcio P. Basgalupp, Rodrigo C. Barros, Alex Guimarães Cardoso de Sá, Gisele L. Pappa, Rafael Gomes Mantovani, André C. P. L. F. de Carvalho, Alex Alves Freitas
An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms. Evol. Intell. 14 (4) (2021)
Jonatas Wehrmann, Camila Kolling, Rodrigo C. Barros
Adaptive Cross-Modal Embeddings for Image-Text Alignment. AAAI (2020)
Eduardo H. P. Pooch, Pedro L. Ballester, Rodrigo C. Barros
Semi-supervised Classification of Chest Radiographs. iMIMIC/MIL3ID/LABELS@MICCAI (2020)
Eduardo H. P. Pooch, Pedro L. Ballester, Rodrigo C. Barros
Can We Trust Deep Learning Based Diagnosis? The Impact of Domain Shift in Chest Radiograph Classification. TIA@MICCAI (2020)
Andrey de Aguiar Salvi, Nathan Gavenski, Eduardo H. P. Pooch, Felipe Tasoniero, Rodrigo C. Barros
Attention-based 3D Object Reconstruction from a Single Image. CoRR (2020)
Nathan Gavenski, Juarez Monteiro, Roger Granada, Felipe Meneguzzi, Rodrigo C. Barros
Imitating Unknown Policies via Exploration. BMVC (2020)
Nathan Gavenski, Juarez Monteiro, Roger Granada, Felipe Meneguzzi, Rodrigo C. Barros
Imitating Unknown Policies via Exploration. CoRR (2020)
Juarez Monteiro, Nathan Gavenski, Roger Granada, Felipe Meneguzzi, Rodrigo C. Barros
Augmented Behavioral Cloning from Observation. IJCNN (2020)
Andrey de Aguiar Salvi, Nathan Gavenski, Eduardo H. P. Pooch, Felipe Tasoniero, Rodrigo C. Barros
Attention-based 3D Object Reconstruction from a Single Image. IJCNN (2020)
Camila Kolling, Victor Flavio de Andrade Araujo, Rodrigo C. Barros, Soraia Raupp Musse
How Does Computer Animation Affect Our Perception of Emotions in Video Summarization? ISVC (2) (2020)
Roger Granada, Ramon Fraga Pereira, Juarez Monteiro, Leonardo Amado, Rodrigo C. Barros, Duncan Dubugras A. Ruiz, Felipe Meneguzzi
HAPRec: Hybrid Activity and Plan Recognizer. CoRR (2020)
Henry E. L. Cagnini, Alex Alves Freitas, Rodrigo C. Barros
An Evolutionary Algorithm for Learning Interpretable Ensembles of Classifiers. BRACIS (2020)
Camila Kolling, Jonatas Wehrmann, Rodrigo C. Barros
Component Analysis for Visual Question Answering Architectures. IJCNN (2020)
Márcio P. Basgalupp, Rodrigo C. Barros, Alex Guimarães Cardoso de Sá, Gisele L. Pappa, Rafael Gomes Mantovani, André C. P. L. F. de Carvalho, Alex Alves Freitas
An Extensive Experimental Evaluation of Automated Machine Learning Methods for Recommending Classification Algorithms (Extended Version). CoRR (2020)
Estevão Testa, Rodrigo C. Barros, Soraia Raupp Musse
CrowdEst: A Method for Estimating (and not Simulating) Crowd Evacuation Parameters in Generic Environments. CoRR (2020)
Camila Kolling, Jonatas Wehrmann, Rodrigo C. Barros
Component Analysis for Visual Question Answering Architectures. CoRR (2020)
João Paulo Aires, Roger Granada, Juarez Monteiro, Rodrigo C. Barros, Felipe Meneguzzi
Classifying Norm Conflicts using Learned Semantic Representations. CoRR (2019)
Eduardo H. P. Pooch, Pedro L. Ballester, Rodrigo C. Barros
Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification. CoRR (2019)
Jonatas Wehrmann, Camila Kolling, Rodrigo C. Barros
Fast and Efficient Text Classification with Class-based Embeddings. IJCNN (2019)
Estevão Testa, Rodrigo C. Barros, Soraia Raupp Musse
CrowdEst: a method for estimating (and not simulating) crowd evacuation parameters in generic environments. Vis. Comput. 35 (6-8) (2019)
Jonatas Wehrmann, Maurício Armani Lopes, Douglas M. Souza, Rodrigo C. Barros
Language-Agnostic Visual-Semantic Embeddings. ICCV (2019)
Christian S. Perone, Pedro L. Ballester, Rodrigo C. Barros, Julien Cohen-Adad
Unsupervised domain adaptation for medical imaging segmentation with self-ensembling. NeuroImage 194 (2019)
Gabriel S. Simões, Jonatas Wehrmann, Rodrigo C. Barros
Attention-based Adversarial Training for Seamless Nudity Censorship. IJCNN (2019)
Ricardo Cerri, Márcio P. Basgalupp, Rodrigo C. Barros, André C. P. L. F. de Carvalho
Inducing Hierarchical Multi-label Classification rules with Genetic Algorithms. Appl. Soft Comput. 77 (2019)
Jonatas Wehrmann, Mauricio A. Lopes, Martin D. More, Rodrigo C. Barros
Fast Self-Attentive Multimodal Retrieval. WACV (2018)
Juarez Monteiro, Roger Granada, João Paulo Aires, Rodrigo C. Barros
Evaluating the Feasibility of Deep Learning for Action Recognition in Small Datasets. IJCNN (2018)
Jonatas Wehrmann, Ricardo Cerri, Rodrigo C. Barros
Hierarchical Multi-Label Classification Networks. ICML (2018)
Marcelo Cabral Ghilardi, Gabriel S. Simoes, Jonatas Wehrmann, Isabel Harb Manssour, Rodrigo C. Barros
Real-Time Detection of Pedestrian Traffic Lights for Visually-Impaired People. IJCNN (2018)
Jonatas Wehrmann, Willian E. Becker, Rodrigo C. Barros
A multi-task neural network for multilingual sentiment classification and language detection on Twitter. SAC (2018)
Jonatas Wehrmann, Anderson Mattjie, Rodrigo C. Barros
Order embeddings and character-level convolutions for multimodal alignment. Pattern Recognit. Lett. 102 (2018)
Martin D. More, Douglas M. Souza, Jonatas Wehrmann, Rodrigo C. Barros
Seamless Nudity Censorship: an Image-to-Image Translation Approach based on Adversarial Training. IJCNN (2018)
Jonatas Wehrmann, Gabriel S. Simoes, Rodrigo C. Barros, Victor F. Cavalcante
Adult content detection in videos with convolutional and recurrent neural networks. Neurocomputing 272 (2018)
Jonatas Wehrmann, Rodrigo C. Barros
Bidirectional Retrieval Made Simple. CVPR (2018)
Christian S. Perone, Pedro L. Ballester, Rodrigo C. Barros, Julien Cohen-Adad
Unsupervised domain adaptation for medical imaging segmentation with self-ensembling. CoRR (2018)
Henry E. L. Cagnini, Márcio Porto Basgalupp, Rodrigo C. Barros
Increasing Boosting Effectiveness with Estimation of Distribution Algorithms. CEC (2018)
Jonatas Wehrmann, Mauricio A. Lopes, Rodrigo C. Barros
Self-Attention for Synopsis-Based Multi-Label Movie Genre Classification. FLAIRS Conference (2018)
Henry E. L. Cagnini, Rodrigo C. Barros, Márcio P. Basgalupp
Estimation of distribution algorithms for decision-tree induction. CEC (2017)
Jonatas Wehrmann, Willian Becker, Henry E. L. Cagnini, Rodrigo C. Barros
A character-based convolutional neural network for language-agnostic Twitter sentiment analysis. IJCNN (2017)
Juarez Monteiro, Roger Granada, Rodrigo C. Barros, Felipe Meneguzzi
Deep neural networks for kitchen activity recognition. IJCNN (2017)
Jonatas Wehrmann, Rodrigo C. Barros
Movie genre classification: A multi-label approach based on convolutions through time. Appl. Soft Comput. 61 (2017)
Jonatas Wehrmann, Rodrigo C. Barros, Silvia N. das Dôres, Ricardo Cerri
Hierarchical multi-label classification with chained neural networks. SAC (2017)
Ralph Jose Rassweiler Filho, Jonatas Wehrmann, Rodrigo C. Barros
Leveraging deep visual features for content-based movie recommender systems. IJCNN (2017)
Willian Becker, Jonatas Wehrmann, Henry E. L. Cagnini, Rodrigo C. Barros
An Efficient Deep Neural Architecture for Multilingual Sentiment Analysis in Twitter. FLAIRS Conference (2017)
Caroline Queiroz Santos, Holisson Cunha, Carlos Roberto G. Teixeira, Daniele Ramos de Souza, Roberto Tietzmann, Isabel Harb Manssour, Milene Selbach Silveira, Marcelo Träsel, Duncan Dubugras Alcoba Ruiz, Rodrigo C. Barros
Media Professionals' Opinions about Interactive Visualizations of Political Polarization during Brazilian Presidential Campaigns on Twitter. HICSS (2017)
Juarez Monteiro, João Paulo Aires, Roger Granada, Rodrigo C. Barros, Felipe Meneguzzi
Virtual guide dog: An application to support visually-impaired people through deep convolutional neural networks. IJCNN (2017)
Jonatas Wehrmann, Anderson Mattjie, Rodrigo C. Barros
Order embeddings and character-level convolutions for multimodal alignment. CoRR (2017)
Jonatas Wehrmann, Rodrigo C. Barros
Convolutions through time for multi-label movie genre classification. SAC (2017)
Henry E. L. Cagnini, Rodrigo C. Barros, Christian Vahl Quevedo, Márcio P. Basgalupp
Medoid-based data clustering with estimation of distribution algorithms. SAC (2016)
Ricardo Cerri, Rodrigo C. Barros, André C. P. L. F. de Carvalho, Yaochu Jin
Reduction strategies for hierarchical multi-label classification in protein function prediction. BMC Bioinform. 17 (2016)
Jonatas Wehrmann, Rodrigo C. Barros, Gabriel S. Simoes, Thomas S. Paula, Duncan Dubugras Alcoba Ruiz
(Deep) Learning from Frames. BRACIS (2016)
Henry E. L. Cagnini, Rodrigo C. Barros
PASCAL: An EDA for parameterless shape-independent clustering. CEC (2016)
Patricia Miquilini, Rodrigo C. Barros, Vinícius Veloso de Melo, Márcio P. Basgalupp
Enhancing discrimination power with genetic feature construction: A grammatical evolution approach. CEC (2016)
Gabriel S. Simoes, Jonatas Wehrmann, Rodrigo C. Barros, Duncan D. Ruiz
Movie genre classification with Convolutional Neural Networks. IJCNN (2016)
Silvia N. das Dôres, Luciano Alves, Duncan D. Ruiz, Rodrigo C. Barros
A meta-learning framework for algorithm recommendation in software fault prediction. SAC (2016)
Vili Podgorelec, Saso Karakatic, Rodrigo C. Barros, Márcio P. Basgalupp
Evolving balanced decision trees with a multi-population genetic algorithm. CEC (2015)
Renata De Paris, Christian Vahl Quevedo, Duncan Dubugras A. Ruiz, Osmar Norberto de Souza, Rodrigo C. Barros
Clustering Molecular Dynamics Trajectories for Optimizing Docking Experiments. Comput. Intell. Neurosci. 2015 (2015)
Henry E. L. Cagnini, Ana T. Winck, Rodrigo C. Barros
A Portable OpenCL-Based Approach for SVMs in GPU. BRACIS (2015)
Ricardo Cerri, Rodrigo C. Barros, André C. P. L. F. de Carvalho
Hierarchical classification of Gene Ontology-based protein functions with neural networks. IJCNN (2015)
Márcio P. Basgalupp, Rodrigo C. Barros, Vili Podgorelec
Evolving decision-tree induction algorithms with a multi-objective hyper-heuristic. SAC (2015)
Luciano Costa Blomberg, Rodrigo C. Barros, Duncan D. Ruiz
Evolving regression trees robust to missing data. SAC (2015)
Rodrigo C. Barros, Christian Vahl Quevedo, Renata De Paris, Márcio P. Basgalupp
Clustering Molecular Dynamics Trajectories with a univariate estimation of distribution algorithm. CEC (2015)
Rodrigo C. Barros, Márcio P. Basgalupp, André C. P. L. F. de Carvalho
Investigating fitness functions for a hyper-heuristic evolutionary algorithm in the context of balanced and imbalanced data classification. Genet. Program. Evolvable Mach. 16 (3) (2015)
Márcio P. Basgalupp, Rodrigo C. Barros, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas
Evolving decision trees with beam search-based initialization and lexicographic multi-objective evaluation. Inf. Sci. 258 (2014)
Ricardo Cerri, Rodrigo C. Barros, Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho
Evolving relational hierarchical classification rules for predicting gene ontology-based protein functions. GECCO (Companion) (2014)
Rodrigo C. Barros, Márcio P. Basgalupp, Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho
Evolutionary Design of Decision-Tree Algorithms Tailored to Microarray Gene Expression Data Sets. IEEE Trans. Evol. Comput. 18 (6) (2014)
Ricardo Cerri, Rodrigo C. Barros, André Carlos Ponce de Leon Ferreira de Carvalho
Hierarchical multi-label classification using local neural networks. J. Comput. Syst. Sci. 80 (1) (2014)
Rodrigo C. Barros, Pablo A. Jaskowiak, Ricardo Cerri, André Carlos Ponce de Leon Ferreira de Carvalho
A framework for bottom-up induction of oblique decision trees. Neurocomputing 135 (2014)
Rodrigo C. Barros, Márcio P. Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas
Automatic Design of Decision-Tree Algorithms with Evolutionary Algorithms. Evol. Comput. 21 (4) (2013)
Rodrigo C. Barros, Ricardo Cerri, Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho
Probabilistic Clustering for Hierarchical Multi-Label Classification of Protein Functions. ECML/PKDD (2) (2013)
Ricardo Cerri, Rodrigo C. Barros, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas
A grammatical evolution algorithm for generation of Hierarchical Multi-Label Classification rules. IEEE Congress on Evolutionary Computation (2013)
Rodrigo C. Barros, Márcio P. Basgalupp, Ricardo Cerri, Tiago Silva da Silva, André C. P. L. F. de Carvalho
A grammatical evolution approach for software effort estimation. GECCO (2013)
Márcio P. Basgalupp, Rodrigo C. Barros, Tiago Silva da Silva, André C. P. L. F. de Carvalho
Software effort prediction: a hyper-heuristic decision-tree based approach. SAC (2013)
Thiago F. Covoes, Rodrigo C. Barros, Tiago Silva da Silva, Eduardo R. Hruschka, André Carlos Ponce de Leon Ferreira de Carvalho
Hierarchical Bottom-Up Safe Semi-Supervised Support Vector Machines for Multi-Class Transductive Learning. J. Inf. Data Manag. 4 (3) (2013)
Jonathan de Andrade Silva, Elaine R. Faria, Rodrigo C. Barros, Eduardo R. Hruschka, André Carlos Ponce de Leon Ferreira de Carvalho, João Gama
Data stream clustering: A survey. ACM Comput. Surv. 46 (1) (2013)
Ricardo Cerri, Rodrigo C. Barros, André Carlos Ponce de Leon Ferreira de Carvalho
A genetic algorithm for Hierarchical Multi-Label Classification. SAC (2012)
Márcio P. Basgalupp, Rodrigo C. Barros, Duncan D. Ruiz
Predicting software maintenance effort through evolutionary-based decision trees. SAC (2012)
Rodrigo C. Barros, Márcio P. Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas
A hyper-heuristic evolutionary algorithm for automatically designing decision-tree algorithms. GECCO (2012)
Rodrigo C. Barros, Ana T. Winck, Karina S. Machado, Márcio P. Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Duncan D. Ruiz, Osmar Norberto de Souza
Automatic design of decision-tree induction algorithms tailored to flexible-receptor docking data. BMC Bioinform. 13 (2012)
Elaine R. Faria, Rodrigo C. Barros, João Gama, André C. P. L. F. de Carvalho
Improving the offline clustering stage of data stream algorithms in scenarios with variable number of clusters. SAC (2012)
Rodrigo C. Barros, Márcio P. Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Marcos G. Quiles
Clus-DTI: improving decision-tree classification with a clustering-based decision-tree induction algorithm. J. Braz. Comput. Soc. 18 (4) (2012)
Rodrigo C. Barros, Ricardo Cerri, Pablo A. Jaskowiak, André Carlos Ponce de Leon Ferreira de Carvalho
A bottom-up oblique decision tree induction algorithm. ISDA (2011)
Ricardo Cerri, Rodrigo C. Barros, André Carlos Ponce de Leon Ferreira de Carvalho
Hierarchical multi-label classification for protein function prediction: A local approach based on neural networks. ISDA (2011)
Rodrigo C. Barros, Duncan D. Ruiz, Márcio P. Basgalupp
Evolutionary model trees for handling continuous classes in machine learning. Inf. Sci. 181 (5) (2011)
Rodrigo C. Barros, Márcio P. Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas
Towards the automatic design of decision tree induction algorithms. GECCO (Companion) (2011)
Rodrigo C. Barros, André Carlos Ponce de Leon Ferreira de Carvalho, Márcio P. Basgalupp, Marcos G. Quiles
A clustering-based decision tree induction algorithm. ISDA (2011)
Rodrigo C. Barros, Márcio P. Basgalupp, Duncan D. Ruiz, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas
Evolutionary model tree induction. SAC (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Rodrigo C. Barros