Rodrigo C. Barros

118 papers A* 5A 5B 27C 8Misc 15Journal 40Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Quantization-Robust LLM Unlearning via Low-Rank Adaptation. CoRR João Vitor Boer Abitante, Joana Meneguzzo Pasquali, Luan Fonseca Garcia, Ewerton de Oliveira, Thomas da Silva Paula, Rodrigo C. Barros, Lucas S. Kupssinskü
2025	J	`jnl`	A Framework for Benchmarking Fairness-Utility Trade-offs in Text-to-Image Models via Pareto Frontiers. CoRR Marco N. Bochernitsan, Rodrigo C. Barros, Lucas S. Kupssinskü
2025	—	`conf`	Automated Fact-Checking in Brazilian Portuguese: Resources and Baselines. STIL Marcelo Mussi Delucis, Lucas Fraga, Otávio Parraga, Christian Mattjie de Oliveira, Rafaela Cappelari Ravazio, Rodrigo C. Barros, Lucas S. Kupssinskü
2025	J	`jnl`	Bayesian Attention Mechanism: A Probabilistic Framework for Positional Encoding and Context Length Extrapolation. CoRR Arthur S. Bianchessi, Rodrigo C. Barros, Lucas S. Kupssinskü
2025	C	`conf`	Comparing Speech Embeddings and Acoustic Features for Unsupervised Subtyping of Parkinson's Disease. BIBE Jerusa D. Finatto, Rafaela Cappelari Ravazio, Christian Mattjie de Oliveira, Rodrigo C. Barros, Artur Schuh, Vanessa B. dos Santos, Maira R. Olchik, Lucas S. Kupssinskü
2025	—	`conf`	Evaluating Odor Selectivity in α-Synucleinopathy: ML-Based Odor Profiling. BRACIS (3) Christian Mattjie de Oliveira, Rafaela Cappelari Ravazio, Eleanor Mitchell, Jonathan Bestwick, Lucas Silveira Kupssinskü, Alastair Noyce, Artur Schuh, Rodrigo C. Barros
2025	J	`jnl`	Fairness in Deep Learning: A Survey on Vision and Language Research. ACM Comput. Surv. Otávio Parraga, Martin D. Móre, Christian Mattjie de Oliveira, Nathan S. Gavenski, Lucas S. Kupssinskü, Adilson Medronha, Luis Vinícius de Moura, Gabriel S. Simões, Rodrigo C. Barros
2025	B	`conf`	Grammar-based Evolutionary Approaches for Software Effort Estimation. CEC Márcio P. Basgalupp, Rodrigo C. Barros, Ricardo Cerri, Ferrante Neri, Péricles B. C. Miranda, Teresa Bernarda Ludermir
2025	—	`conf`	Inference Time Debiasing Concepts in Diffusion Models. BRACIS (2) Lucas S. Kupssinskü, Marco N. Bochernitsan, Jordan Kopper, Otávio Parraga, Rodrigo C. Barros
2025	J	`jnl`	Inference Time Debiasing Concepts in Diffusion Models. CoRR Lucas S. Kupssinskü, Marco N. Bochernitsan, Jordan Kopper, Otávio Parraga, Rodrigo C. Barros
2025	—	`conf`	Isolated Sign Language Recognition in LIBRAS. BRACIS (3) Marcelo Mussi Delucis, Otávio Parraga, Rodrigo C. Barros, Lucas S. Kupssinskü
2025	C	`conf`	Subtyping Parkinson's Disease Via Probabilistic Neuroimaging Data Clustering. BIBE Christian Mattjie de Oliveira, Rafaela Cappelari Ravazio, Joana Pasquali, Lucas S. Kupssinskü, Luis Vinícius de Moura, Rodrigo C. Barros, Daniel Teixeira-dos-Santos, Gabriela M. Pereira, Artur Schuh, Álvaro O. Franco, Marco A. M. Schlindwein, Andrei Bieger, Marco Antônio de Bastiani, Eduardo Zimmer, Thomas H. Schlickmann, Lara A. Souza
2024	B	`conf`	An Experimental Analysis on Automated Machine Learning for Software Defect Prediction. CEC Márcio P. Basgalupp, Rodrigo C. Barros, Tiago Silva da Silva, Fábio F. Silveira, Péricles B. C. Miranda, Ferrante Neri
2024	A*	`conf`	LERMO: A Novel Web Game for AI-Enhanced Sign Language Recognition. AAAI Adilson Medronha, Luís Lima, Janaína Claudio, Lucas S. Kupssinskü, Rodrigo C. Barros
2024	B	`conf`	One Against Many: Exploring Multi-task Learning Generalization in Source-Code Tasks. IJCNN Otávio Parraga, Lucas S. Kupssinskü, Christian Mattjie de Oliveira, Rodrigo C. Barros
2024	—	`conf`	Unlocking The Potential Of Vision-Language Models For Mammography Analysis. ISBI Luis Vinícius de Moura, Rafaela Cappelari Ravazio, Christian Mattjie de Oliveira, Lucas Silveira Kupssinskü, Carla Maria Dal Sasso Freitas, Rodrigo C. Barros
2023	J	`jnl`	A survey of evolutionary algorithms for supervised ensemble learning. Knowl. Eng. Rev. Henry E. L. Cagnini, Silvia N. das Dôres, Alex Alves Freitas, Rodrigo C. Barros
2023	C	`conf`	Radiomics for Predicting Oxygen Necessity in COVID-19 Patients Using Longitudinal Lung Computed Tomography. BIBE 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
2023	B	`conf`	Self-Supervised Adversarial Imitation Learning. IJCNN Juarez Monteiro, Nathan Gavenski, Felipe Meneguzzi, Rodrigo C. Barros
2023	J	`jnl`	Self-Supervised Adversarial Imitation Learning. CoRR Juarez Monteiro, Nathan Gavenski, Felipe Meneguzzi, Rodrigo C. Barros
2023	C	`conf`	Zero-Shot Performance of the Segment Anything Model (SAM) in 2D Medical Imaging: A Comprehensive Evaluation and Practical Guidelines. BIBE Christian Mattjie de Oliveira, Luis Vinícius de Moura, Rafaela Cappelari Ravazio, Lucas S. Kupssinskü, Otávio Parraga, Marcelo Mussi Delucis, Rodrigo C. Barros
2022	B	`conf`	COBE: A Natural Language Code Search Robustness Benchmark. IJCNN Jonatas Wehrmann, Otávio Parraga, Rodrigo C. Barros
2022	J	`jnl`	Debiasing Methods for Fairer Neural Models in Vision and Language Research: A Survey. CoRR Otávio Parraga, Martin D. Móre, Christian Mattjie de Oliveira, Nathan S. Gavenski, Lucas S. Kupssinskü, Adilson Medronha, Luis Vinícius de Moura, Gabriel S. Simões, Rodrigo C. Barros
2022	A	`conf`	Efficient Counterfactual Debiasing for Visual Question Answering. WACV Camila Kolling, Martin D. Móre, Nathan Gavenski, Eduardo H. P. Pooch, Otávio Parraga, Rodrigo C. Barros
2022	—	`conf`	How Resilient Are Imitation Learning Methods to Sub-optimal Experts? BRACIS (2) Nathan Gavenski, Juarez Monteiro, Adilson Medronha, Rodrigo C. Barros
2022	—	`conf`	Leveraging Textual Descriptions for House Price Valuation. BRACIS (1) Luís Fernando Bittencourt, Otávio Parraga, Duncan D. Ruiz, Isabel H. Manssour, Soraia Raupp Musse, Rodrigo C. Barros
2021	J	`jnl`	An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms. Evol. Intell. 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
2021	J	`jnl`	Explainable Machine Learning for COVID-19 Pneumonia Classification With Texture-Based Features Extraction in Chest Radiography. Frontiers Digit. Health Luis Vinícius de Moura, Christian Mattjie de Oliveira, Caroline Machado Dartora, Rodrigo C. Barros, Ana Maria Marques da Silva
2021	B	`conf`	Model Compression in Object Detection. IJCNN Andrey de Aguiar Salvi, Rodrigo C. Barros
2020	A*	`conf`	Adaptive Cross-Modal Embeddings for Image-Text Alignment. AAAI Jonatas Wehrmann, Camila Kolling, Rodrigo C. Barros
2020	—	`conf`	An Evolutionary Algorithm for Learning Interpretable Ensembles of Classifiers. BRACIS Henry E. L. Cagnini, Alex Alves Freitas, Rodrigo C. Barros
2020	J	`jnl`	An Extensive Experimental Evaluation of Automated Machine Learning Methods for Recommending Classification Algorithms (Extended Version). CoRR 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
2020	B	`conf`	Attention-based 3D Object Reconstruction from a Single Image. IJCNN Andrey de Aguiar Salvi, Nathan Gavenski, Eduardo H. P. Pooch, Felipe Tasoniero, Rodrigo C. Barros
2020	J	`jnl`	Attention-based 3D Object Reconstruction from a Single Image. CoRR Andrey de Aguiar Salvi, Nathan Gavenski, Eduardo H. P. Pooch, Felipe Tasoniero, Rodrigo C. Barros
2020	B	`conf`	Augmented Behavioral Cloning from Observation. IJCNN Juarez Monteiro, Nathan Gavenski, Roger Granada, Felipe Meneguzzi, Rodrigo C. Barros
2020	—	`conf`	Can We Trust Deep Learning Based Diagnosis? The Impact of Domain Shift in Chest Radiograph Classification. TIA@MICCAI Eduardo H. P. Pooch, Pedro L. Ballester, Rodrigo C. Barros
2020	B	`conf`	Component Analysis for Visual Question Answering Architectures. IJCNN Camila Kolling, Jonatas Wehrmann, Rodrigo C. Barros
2020	J	`jnl`	Component Analysis for Visual Question Answering Architectures. CoRR Camila Kolling, Jonatas Wehrmann, Rodrigo C. Barros
2020	J	`jnl`	CrowdEst: A Method for Estimating (and not Simulating) Crowd Evacuation Parameters in Generic Environments. CoRR Estevão Testa, Rodrigo C. Barros, Soraia Raupp Musse
2020	J	`jnl`	HAPRec: Hybrid Activity and Plan Recognizer. CoRR Roger Granada, Ramon Fraga Pereira, Juarez Monteiro, Leonardo Amado, Rodrigo C. Barros, Duncan Dubugras A. Ruiz, Felipe Meneguzzi
2020	—	`conf`	How Does Computer Animation Affect Our Perception of Emotions in Video Summarization? ISVC (2) Camila Kolling, Victor Flavio de Andrade Araujo, Rodrigo C. Barros, Soraia Raupp Musse
2020	A	`conf`	Imitating Unknown Policies via Exploration. BMVC Nathan Gavenski, Juarez Monteiro, Roger Granada, Felipe Meneguzzi, Rodrigo C. Barros
2020	J	`jnl`	Imitating Unknown Policies via Exploration. CoRR Nathan Gavenski, Juarez Monteiro, Roger Granada, Felipe Meneguzzi, Rodrigo C. Barros
2020	—	`conf`	Semi-supervised Classification of Chest Radiographs. iMIMIC/MIL3ID/LABELS@MICCAI Eduardo H. P. Pooch, Pedro L. Ballester, Rodrigo C. Barros
2019	B	`conf`	Attention-based Adversarial Training for Seamless Nudity Censorship. IJCNN Gabriel S. Simões, Jonatas Wehrmann, Rodrigo C. Barros
2019	J	`jnl`	Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification. CoRR Eduardo H. P. Pooch, Pedro L. Ballester, Rodrigo C. Barros
2019	J	`jnl`	Classifying Norm Conflicts using Learned Semantic Representations. CoRR João Paulo Aires, Roger Granada, Juarez Monteiro, Rodrigo C. Barros, Felipe Meneguzzi
2019	J	`jnl`	CrowdEst: a method for estimating (and not simulating) crowd evacuation parameters in generic environments. Vis. Comput. Estevão Testa, Rodrigo C. Barros, Soraia Raupp Musse
2019	B	`conf`	Fast and Efficient Text Classification with Class-based Embeddings. IJCNN Jonatas Wehrmann, Camila Kolling, Rodrigo C. Barros
2019	J	`jnl`	Inducing Hierarchical Multi-label Classification rules with Genetic Algorithms. Appl. Soft Comput. Ricardo Cerri, Márcio P. Basgalupp, Rodrigo C. Barros, André C. P. L. F. de Carvalho
2019	A*	`conf`	Language-Agnostic Visual-Semantic Embeddings. ICCV Jonatas Wehrmann, Maurício Armani Lopes, Douglas M. Souza, Rodrigo C. Barros
2019	J	`jnl`	Unsupervised domain adaptation for medical imaging segmentation with self-ensembling. NeuroImage Christian S. Perone, Pedro L. Ballester, Rodrigo C. Barros, Julien Cohen-Adad
2018	Misc	`conf`	A multi-task neural network for multilingual sentiment classification and language detection on Twitter. SAC Jonatas Wehrmann, Willian E. Becker, Rodrigo C. Barros
2018	J	`jnl`	Adult content detection in videos with convolutional and recurrent neural networks. Neurocomputing Jonatas Wehrmann, Gabriel S. Simoes, Rodrigo C. Barros, Victor F. Cavalcante
2018	A*	`conf`	Bidirectional Retrieval Made Simple. CVPR Jonatas Wehrmann, Rodrigo C. Barros
2018	B	`conf`	Evaluating the Feasibility of Deep Learning for Action Recognition in Small Datasets. IJCNN Juarez Monteiro, Roger Granada, João Paulo Aires, Rodrigo C. Barros
2018	A	`conf`	Fast Self-Attentive Multimodal Retrieval. WACV Jonatas Wehrmann, Mauricio A. Lopes, Martin D. Móre, Rodrigo C. Barros
2018	A*	`conf`	Hierarchical Multi-Label Classification Networks. ICML Jonatas Wehrmann, Ricardo Cerri, Rodrigo C. Barros
2018	B	`conf`	Increasing Boosting Effectiveness with Estimation of Distribution Algorithms. CEC Henry E. L. Cagnini, Márcio Porto Basgalupp, Rodrigo C. Barros
2018	J	`jnl`	Order embeddings and character-level convolutions for multimodal alignment. Pattern Recognit. Lett. Jonatas Wehrmann, Anderson Mattjie, Rodrigo C. Barros
2018	B	`conf`	Real-Time Detection of Pedestrian Traffic Lights for Visually-Impaired People. IJCNN Marcelo Cabral Ghilardi, Gabriel S. Simoes, Jonatas Wehrmann, Isabel Harb Manssour, Rodrigo C. Barros
2018	B	`conf`	Seamless Nudity Censorship: an Image-to-Image Translation Approach based on Adversarial Training. IJCNN Martin D. Móre, Douglas M. Souza, Jonatas Wehrmann, Rodrigo C. Barros
2018	Misc	`conf`	Self-Attention for Synopsis-Based Multi-Label Movie Genre Classification. FLAIRS Jonatas Wehrmann, Mauricio A. Lopes, Rodrigo C. Barros
2018	J	`jnl`	Unsupervised domain adaptation for medical imaging segmentation with self-ensembling. CoRR Christian S. Perone, Pedro L. Ballester, Rodrigo C. Barros, Julien Cohen-Adad
2017	B	`conf`	A character-based convolutional neural network for language-agnostic Twitter sentiment analysis. IJCNN Jonatas Wehrmann, Willian Becker, Henry E. L. Cagnini, Rodrigo C. Barros
2017	Misc	`conf`	An Efficient Deep Neural Architecture for Multilingual Sentiment Analysis in Twitter. FLAIRS Willian Becker, Jonatas Wehrmann, Henry E. L. Cagnini, Rodrigo C. Barros
2017	Misc	`conf`	Convolutions through time for multi-label movie genre classification. SAC Jonatas Wehrmann, Rodrigo C. Barros
2017	B	`conf`	Deep neural networks for kitchen activity recognition. IJCNN Juarez Monteiro, Roger Granada, Rodrigo C. Barros, Felipe Meneguzzi
2017	B	`conf`	Estimation of distribution algorithms for decision-tree induction. CEC Henry E. L. Cagnini, Rodrigo C. Barros, Márcio P. Basgalupp
2017	Misc	`conf`	Hierarchical multi-label classification with chained neural networks. SAC Jonatas Wehrmann, Rodrigo C. Barros, Silvia N. das Dôres, Ricardo Cerri
2017	B	`conf`	Leveraging deep visual features for content-based movie recommender systems. IJCNN Ralph Jose Rassweiler Filho, Jonatas Wehrmann, Rodrigo C. Barros
2017	—	`conf`	Media Professionals' Opinions about Interactive Visualizations of Political Polarization during Brazilian Presidential Campaigns on Twitter. HICSS 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
2017	J	`jnl`	Movie genre classification: A multi-label approach based on convolutions through time. Appl. Soft Comput. Jonatas Wehrmann, Rodrigo C. Barros
2017	J	`jnl`	Order embeddings and character-level convolutions for multimodal alignment. CoRR Jonatas Wehrmann, Anderson Mattjie, Rodrigo C. Barros
2017	B	`conf`	Virtual guide dog: An application to support visually-impaired people through deep convolutional neural networks. IJCNN Juarez Monteiro, João Paulo Aires, Roger Granada, Rodrigo C. Barros, Felipe Meneguzzi
2016	—	`conf`	(Deep) Learning from Frames. BRACIS Jonatas Wehrmann, Rodrigo C. Barros, Gabriel S. Simoes, Thomas S. Paula, Duncan Dubugras Alcoba Ruiz
2016	Misc	`conf`	A meta-learning framework for algorithm recommendation in software fault prediction. SAC Silvia N. das Dôres, Luciano Alves, Duncan D. Ruiz, Rodrigo C. Barros
2016	B	`conf`	Enhancing discrimination power with genetic feature construction: A grammatical evolution approach. CEC Patricia Miquilini, Rodrigo C. Barros, Vinícius Veloso de Melo, Márcio P. Basgalupp
2016	Misc	`conf`	Medoid-based data clustering with estimation of distribution algorithms. SAC Henry E. L. Cagnini, Rodrigo C. Barros, Christian Vahl Quevedo, Márcio P. Basgalupp
2016	B	`conf`	Movie genre classification with Convolutional Neural Networks. IJCNN Gabriel S. Simoes, Jonatas Wehrmann, Rodrigo C. Barros, Duncan D. Ruiz
2016	B	`conf`	PASCAL: An EDA for parameterless shape-independent clustering. CEC Henry E. L. Cagnini, Rodrigo C. Barros
2016	J	`jnl`	Reduction strategies for hierarchical multi-label classification in protein function prediction. BMC Bioinform. Ricardo Cerri, Rodrigo C. Barros, André C. P. L. F. de Carvalho, Yaochu Jin
2015	—	`conf`	A Portable OpenCL-Based Approach for SVMs in GPU. BRACIS Henry E. L. Cagnini, Ana T. Winck, Rodrigo C. Barros
2015	—	`book`	Automatic Design of Decision-Tree Induction Algorithms Rodrigo C. Barros, André C. P. L. F. de Carvalho, Alex Alves Freitas
2015	J	`jnl`	Clustering Molecular Dynamics Trajectories for Optimizing Docking Experiments. Comput. Intell. Neurosci. Renata De Paris, Christian Vahl Quevedo, Duncan Dubugras A. Ruiz, Osmar Norberto de Souza, Rodrigo C. Barros
2015	B	`conf`	Clustering Molecular Dynamics Trajectories with a univariate estimation of distribution algorithm. CEC Rodrigo C. Barros, Christian Vahl Quevedo, Renata De Paris, Márcio P. Basgalupp
2015	B	`conf`	Evolving balanced decision trees with a multi-population genetic algorithm. CEC Vili Podgorelec, Saso Karakatic, Rodrigo C. Barros, Márcio P. Basgalupp
2015	Misc	`conf`	Evolving decision-tree induction algorithms with a multi-objective hyper-heuristic. SAC Márcio P. Basgalupp, Rodrigo C. Barros, Vili Podgorelec
2015	Misc	`conf`	Evolving regression trees robust to missing data. SAC Luciano Costa Blomberg, Rodrigo C. Barros, Duncan D. Ruiz
2015	B	`conf`	Hierarchical classification of Gene Ontology-based protein functions with neural networks. IJCNN Ricardo Cerri, Rodrigo C. Barros, André C. P. L. F. de Carvalho
2015	J	`jnl`	Investigating fitness functions for a hyper-heuristic evolutionary algorithm in the context of balanced and imbalanced data classification. Genet. Program. Evolvable Mach. Rodrigo C. Barros, Márcio P. Basgalupp, André C. P. L. F. de Carvalho
2014	J	`jnl`	A framework for bottom-up induction of oblique decision trees. Neurocomputing Rodrigo C. Barros, Pablo A. Jaskowiak, Ricardo Cerri, André Carlos Ponce de Leon Ferreira de Carvalho
2014	J	`jnl`	Evolutionary Design of Decision-Tree Algorithms Tailored to Microarray Gene Expression Data Sets. IEEE Trans. Evol. Comput. Rodrigo C. Barros, Márcio P. Basgalupp, Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho
2014	J	`jnl`	Evolving decision trees with beam search-based initialization and lexicographic multi-objective evaluation. Inf. Sci. Márcio P. Basgalupp, Rodrigo C. Barros, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas
2014	—	`conf`	Evolving relational hierarchical classification rules for predicting gene ontology-based protein functions. GECCO (Companion) Ricardo Cerri, Rodrigo C. Barros, Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho
2014	J	`jnl`	Hierarchical multi-label classification using local neural networks. J. Comput. Syst. Sci. Ricardo Cerri, Rodrigo C. Barros, André Carlos Ponce de Leon Ferreira de Carvalho
2013	B	`conf`	A grammatical evolution algorithm for generation of Hierarchical Multi-Label Classification rules. IEEE Congress on Evolutionary Computation Ricardo Cerri, Rodrigo C. Barros, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas
2013	A	`conf`	A grammatical evolution approach for software effort estimation. GECCO Rodrigo C. Barros, Márcio P. Basgalupp, Ricardo Cerri, Tiago Silva da Silva, André C. P. L. F. de Carvalho
2013	J	`jnl`	Automatic Design of Decision-Tree Algorithms with Evolutionary Algorithms. Evol. Comput. Rodrigo C. Barros, Márcio P. Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas
2013	J	`jnl`	Data stream clustering: A survey. ACM Comput. Surv. Jonathan de Andrade Silva, Elaine R. Faria, Rodrigo C. Barros, Eduardo R. Hruschka, André Carlos Ponce de Leon Ferreira de Carvalho, João Gama
2013	J	`jnl`	Hierarchical Bottom-Up Safe Semi-Supervised Support Vector Machines for Multi-Class Transductive Learning. J. Inf. Data Manag. Thiago F. Covoes, Rodrigo C. Barros, Tiago Silva da Silva, Eduardo R. Hruschka, André Carlos Ponce de Leon Ferreira de Carvalho
2013	—	`conf`	Probabilistic Clustering for Hierarchical Multi-Label Classification of Protein Functions. ECML/PKDD (2) Rodrigo C. Barros, Ricardo Cerri, Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho
2013	Misc	`conf`	Software effort prediction: a hyper-heuristic decision-tree based approach. SAC Márcio P. Basgalupp, Rodrigo C. Barros, Tiago Silva da Silva, André C. P. L. F. de Carvalho
2012	Misc	`conf`	A genetic algorithm for Hierarchical Multi-Label Classification. SAC Ricardo Cerri, Rodrigo C. Barros, André Carlos Ponce de Leon Ferreira de Carvalho
2012	A	`conf`	A hyper-heuristic evolutionary algorithm for automatically designing decision-tree algorithms. GECCO Rodrigo C. Barros, Márcio P. Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas
2012	J	`jnl`	Automatic design of decision-tree induction algorithms tailored to flexible-receptor docking data. BMC Bioinform. 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
2012	J	`jnl`	Clus-DTI: improving decision-tree classification with a clustering-based decision-tree induction algorithm. J. Braz. Comput. Soc. Rodrigo C. Barros, Márcio P. Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Marcos G. Quiles
2012	Misc	`conf`	Improving the offline clustering stage of data stream algorithms in scenarios with variable number of clusters. SAC Elaine R. Faria, Rodrigo C. Barros, João Gama, André C. P. L. F. de Carvalho
2012	Misc	`conf`	Predicting software maintenance effort through evolutionary-based decision trees. SAC Márcio P. Basgalupp, Rodrigo C. Barros, Duncan D. Ruiz
2011	C	`conf`	A bottom-up oblique decision tree induction algorithm. ISDA Rodrigo C. Barros, Ricardo Cerri, Pablo A. Jaskowiak, André Carlos Ponce de Leon Ferreira de Carvalho
2011	C	`conf`	A clustering-based decision tree induction algorithm. ISDA Rodrigo C. Barros, André Carlos Ponce de Leon Ferreira de Carvalho, Márcio P. Basgalupp, Marcos G. Quiles
2011	J	`jnl`	Evolutionary model trees for handling continuous classes in machine learning. Inf. Sci. Rodrigo C. Barros, Duncan D. Ruiz, Márcio P. Basgalupp
2011	C	`conf`	Hierarchical multi-label classification for protein function prediction: A local approach based on neural networks. ISDA Ricardo Cerri, Rodrigo C. Barros, André Carlos Ponce de Leon Ferreira de Carvalho
2011	—	`conf`	Towards the automatic design of decision tree induction algorithms. GECCO (Companion) Rodrigo C. Barros, Márcio P. Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas
2010	Misc	`conf`	Evolutionary model tree induction. SAC Rodrigo C. Barros, Márcio P. Basgalupp, Duncan D. Ruiz, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas
2009	Misc	`conf`	LEGAL-tree: a lexicographic multi-objective genetic algorithm for decision tree induction. SAC Márcio P. Basgalupp, Rodrigo C. Barros, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas, Duncan D. Ruiz
2009	J	`jnl`	Lexicographic multi-objective evolutionary induction of decision trees. Int. J. Bio Inspired Comput. Márcio P. Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, Duncan D. Ruiz, Alex Alves Freitas
2008	C	`conf`	Issues on Estimating Software Metrics in a Large Software Operation. SEW Rodrigo C. Barros, Duncan Dubugras A. Ruiz, Nelson N. Tenório Jr., Márcio P. Basgalupp, Karin Becker