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Books and Theses
- 2015
[b2]Rodrigo C. Barros, André C. P. L. F. de Carvalho
, Alex Alves Freitas:
Automatic Design of Decision-Tree Induction Algorithms. Springer Briefs in Computer Science, Springer 2015, ISBN 978-3-319-14230-2, pp. 1-176- 2013
- [b1]Rodrigo Coelho Barros:
Sobre o projeto automático de algoritmos de indução de árvores de decisão. University of São Paulo, Brazil, 2013
Journal Articles
- 2025
- [j26]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:
Fairness in Deep Learning: A Survey on Vision and Language Research. ACM Comput. Surv. 57(6): 138:1-138:40 (2025) - 2023
- [j25]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: e1 (2023) - 2021
- [j24]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): 1895-1914 (2021) - [j23]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: 662343 (2021) - 2019
- [j22]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: 584-604 (2019) - [j21]Christian S. Perone, Pedro L. Ballester, Rodrigo C. Barros, Julien Cohen-Adad:
Unsupervised domain adaptation for medical imaging segmentation with self-ensembling. NeuroImage 194: 1-11 (2019) - [j20]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): 1119-1130 (2019) - 2018
- [j19]Jonatas Wehrmann, Gabriel S. Simoes, Rodrigo C. Barros, Victor F. Cavalcante:
Adult content detection in videos with convolutional and recurrent neural networks. Neurocomputing 272: 432-438 (2018) - [j18]Roger Leitzke Granada, João Paulo Aires, Juarez Monteiro, Felipe Rech Meneguzzi, Rodrigo Coelho Barros:
Improving Action Recognition using Temporal Regions. J. Inf. Data Manag. 9(2): 108-123 (2018) - [j17]Jonatas Wehrmann, Anderson Mattjie, Rodrigo C. Barros:
Order embeddings and character-level convolutions for multimodal alignment. Pattern Recognit. Lett. 102: 15-22 (2018) - 2017
- [j16]Jonatas Wehrmann, Rodrigo C. Barros:
Movie genre classification: A multi-label approach based on convolutions through time. Appl. Soft Comput. 61: 973-982 (2017) - 2016
- [j15]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: 373 (2016) - 2015
- [j14]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: 916240:1-916240:9 (2015) - [j13]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): 241-281 (2015) - 2014
- [j12]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: 3-12 (2014) - [j11]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: 160-181 (2014) - [j10]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): 39-56 (2014) - [j9]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): 873-892 (2014) - 2013
- [j8]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): 13:1-13:31 (2013) - [j7]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): 659-684 (2013) - [j6]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): 357-373 (2013) - 2012
- [j5]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: 310 (2012) - [j4]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): 351-362 (2012) - [j3]Rodrigo Coelho Barros, Márcio Porto Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas:
A Survey of Evolutionary Algorithms for Decision-Tree Induction. IEEE Trans. Syst. Man Cybern. Part C 42(3): 291-312 (2012) - 2011
- [j2]Rodrigo C. Barros, Duncan D. Ruiz, Márcio P. Basgalupp:
Evolutionary model trees for handling continuous classes in machine learning. Inf. Sci. 181(5): 954-971 (2011) - 2009
- [j1]Márcio P. Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, Duncan D. Ruiz, Alex Alves Freitas:
Lexicographic multi-objective evolutionary induction of decision trees. Int. J. Bio Inspired Comput. 1(1/2): 105-117 (2009)
Conference and Workshop Papers
- 2025
- [c80]Márcio P. Basgalupp, Rodrigo C. Barros, Ricardo Cerri, Ferrante Neri, Péricles B. C. Miranda, Teresa Bernarda Ludermir:
Grammar-based Evolutionary Approaches for Software Effort Estimation. CEC 2025: 1-4 - [c79]Marcelo Mussi Delucis, Lucas Fraga, Otávio Parraga, Christian Mattjie de Oliveira, Rafaela Cappelari Ravazio, Rodrigo C. Barros, Lucas S. Kupssinskü:
Automated Fact-Checking in Brazilian Portuguese: Resources and Baselines. STIL 2025: 137-148 - 2024
- [c78]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: 23352-23359 - [c77]Márcio P. Basgalupp, Rodrigo C. Barros, Tiago Silva da Silva, Fábio F. Silveira, Péricles B. C. Miranda, Ferrante Neri:
An Experimental Analysis on Automated Machine Learning for Software Defect Prediction. CEC 2024: 1-8 - [c76]Otávio Parraga, Lucas S. Kupssinskü, Christian Mattjie de Oliveira, Rodrigo C. Barros:
One Against Many: Exploring Multi-task Learning Generalization in Source-Code Tasks. IJCNN 2024: 1-8 - [c75]Luis Vinícius de Moura, Rafaela Cappelari Ravazio, Christian Mattjie de Oliveira, Lucas Silveira Kupssinskü, Carla Maria Dal Sasso Freitas, Rodrigo C. Barros:
Unlocking The Potential Of Vision-Language Models For Mammography Analysis. ISBI 2024: 1-4 - 2023
- [c74]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: 108-112 - [c73]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: 272-276 - [c72]Juarez Monteiro, Nathan Gavenski, Felipe Meneguzzi, Rodrigo C. Barros:
Self-Supervised Adversarial Imitation Learning. IJCNN 2023: 1-8 - 2022
- [c71]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: 355-369 - [c70]Nathan Gavenski, Juarez Monteiro, Adilson Medronha, Rodrigo C. Barros:
How Resilient Are Imitation Learning Methods to Sub-optimal Experts? BRACIS (2) 2022: 449-463 - [c69]Jonatas Wehrmann, Otávio Parraga, Rodrigo C. Barros:
COBE: A Natural Language Code Search Robustness Benchmark. IJCNN 2022: 1-8 - [c68]Camila Kolling, Martin D. Móre, Nathan Gavenski, Eduardo H. P. Pooch, Otávio Parraga, Rodrigo C. Barros:
Efficient Counterfactual Debiasing for Visual Question Answering. WACV 2022: 2572-2581 - 2021
- [c67]Andrey de Aguiar Salvi, Rodrigo C. Barros:
Model Compression in Object Detection. IJCNN 2021: 1-8 - 2020
- [c66]Jonatas Wehrmann, Camila Kolling, Rodrigo C. Barros:
Adaptive Cross-Modal Embeddings for Image-Text Alignment. AAAI 2020: 12313-12320 - [c65]Luis Vinícius de Moura, Caroline Machado Dartora, Christian Mattjie de Oliveira, Rodrigo Coelho Barros, Ana Maria Marques da Silva:
A Novel Approach to Differentiate COVID-19 Pneumonia in Chest X-ray. BIBE 2020: 446-451 - [c64]Nathan Gavenski, Juarez Monteiro, Roger Granada, Felipe Meneguzzi, Rodrigo C. Barros:
Imitating Unknown Policies via Exploration. BMVC 2020 - [c63]Henry E. L. Cagnini, Alex Alves Freitas, Rodrigo C. Barros:
An Evolutionary Algorithm for Learning Interpretable Ensembles of Classifiers. BRACIS 2020: 18-33 - [c62]Camila Kolling, Jonatas Wehrmann, Rodrigo C. Barros:
Component Analysis for Visual Question Answering Architectures. IJCNN 2020: 1-8 - [c61]Juarez Monteiro, Nathan Gavenski, Roger Granada, Felipe Meneguzzi, Rodrigo C. Barros:
Augmented Behavioral Cloning from Observation. IJCNN 2020: 1-8 - [c60]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: 1-8 - [c59]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: 374-385 - [c58]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: 74-83 - [c57]Eduardo H. P. Pooch, Pedro L. Ballester, Rodrigo C. Barros:
Semi-supervised Classification of Chest Radiographs. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 172-179 - 2019
- [c56]João Paulo Aires, Roger Granada, Juarez Monteiro, Rodrigo Coelho Barros, Felipe Meneguzzi:
Classification of Contractual Conflicts via Learning of Semantic Representations. AAMAS 2019: 1764-1766 - [c55]Jonatas Wehrmann, Maurício Armani Lopes, Douglas M. Souza, Rodrigo C. Barros:
Language-Agnostic Visual-Semantic Embeddings. ICCV 2019: 5803-5812 - [c54]Gabriel S. Simões, Jonatas Wehrmann, Rodrigo C. Barros:
Attention-based Adversarial Training for Seamless Nudity Censorship. IJCNN 2019: 1-8 - [c53]Jonatas Wehrmann, Camila Kolling, Rodrigo C. Barros:
Fast and Efficient Text Classification with Class-based Embeddings. IJCNN 2019: 1-8 - 2018
- [c52]Henry E. L. Cagnini, Márcio Porto Basgalupp, Rodrigo C. Barros:
Increasing Boosting Effectiveness with Estimation of Distribution Algorithms. CEC 2018: 1-8 - [c51]Juarez Monteiro, Roger Granada, Felipe Meneguzzi, Rodrigo Coelho Barros:
Using Scene Context to Improve Action Recognition. CIARP 2018: 954-961 - [c50]Jonatas Wehrmann, Rodrigo C. Barros:
Bidirectional Retrieval Made Simple. CVPR 2018: 7718-7726 - [c49]Jonatas Wehrmann, Mauricio A. Lopes, Rodrigo C. Barros:
Self-Attention for Synopsis-Based Multi-Label Movie Genre Classification. FLAIRS 2018: 236-241 - [c48]Jonatas Wehrmann, Ricardo Cerri, Rodrigo C. Barros:
Hierarchical Multi-Label Classification Networks. ICML 2018: 5225-5234 - [c47]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: 1-8 - [c46]Juarez Monteiro, Roger Granada, João Paulo Aires, Rodrigo C. Barros:
Evaluating the Feasibility of Deep Learning for Action Recognition in Small Datasets. IJCNN 2018: 1-8 - [c45]Martin D. Móre, Douglas M. Souza, Jonatas Wehrmann, Rodrigo C. Barros:
Seamless Nudity Censorship: an Image-to-Image Translation Approach based on Adversarial Training. IJCNN 2018: 1-8 - [c44]Jonatas Wehrmann, Willian E. Becker, Rodrigo C. Barros:
A multi-task neural network for multilingual sentiment classification and language detection on Twitter. SAC 2018: 1805-1812 - [c43]Jonatas Wehrmann, Mauricio A. Lopes, Martin D. Móre, Rodrigo C. Barros:
Fast Self-Attentive Multimodal Retrieval. WACV 2018: 1871-1878 - 2017
- [c42]Roger Leitzke Granada, Ramon Fraga Pereira, Juarez Monteiro, Rodrigo Coelho Barros, Duncan D. Ruiz, Felipe Meneguzzi:
Hybrid Activity and Plan Recognition for Video Streams. AAAI Workshops 2017 - [c41]Renan Guedes Maidana, Juarez Monteiro dos Santos, Roger Leitzke Granada, Alexandre de Morais Amory, Rodrigo Coelho Barros:
Deep Neural Networks for Handwritten Chinese Character Recognition. BRACIS 2017: 192-197 - [c40]Henry E. L. Cagnini, Rodrigo C. Barros, Márcio P. Basgalupp:
Estimation of distribution algorithms for decision-tree induction. CEC 2017: 2022-2029 - [c39]Roger Leitzke Granada, Juarez Monteiro, Rodrigo Coelho Barros, Felipe Rech Meneguzzi:
A Deep Neural Architecture for Kitchen Activity Recognition. FLAIRS 2017: 56-61 - [c38]Willian Becker, Jonatas Wehrmann, Henry E. L. Cagnini, Rodrigo C. Barros:
An Efficient Deep Neural Architecture for Multilingual Sentiment Analysis in Twitter. FLAIRS 2017: 246-251 - [c37]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: 1-10 - [c36]Ralph Jose Rassweiler Filho, Jonatas Wehrmann, Rodrigo C. Barros:
Leveraging deep visual features for content-based movie recommender systems. IJCNN 2017: 604-611 - [c35]Juarez Monteiro, Roger Granada, Rodrigo C. Barros, Felipe Meneguzzi:
Deep neural networks for kitchen activity recognition. IJCNN 2017: 2048-2055 - [c34]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: 2267-2274 - [c33]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: 2384-2391 - [c32]Jonatas Wehrmann, Rodrigo C. Barros:
Convolutions through time for multi-label movie genre classification. SAC 2017: 114-119 - [c31]Jonatas Wehrmann, Rodrigo C. Barros, Silvia N. das Dôres, Ricardo Cerri:
Hierarchical multi-label classification with chained neural networks. SAC 2017: 790-795 - 2016
- [c30]Jonatas Wehrmann, Rodrigo C. Barros, Gabriel S. Simoes, Thomas S. Paula, Duncan Dubugras Alcoba Ruiz:
(Deep) Learning from Frames. BRACIS 2016: 1-6 - [c29]Henry E. L. Cagnini, Rodrigo C. Barros:
PASCAL: An EDA for parameterless shape-independent clustering. CEC 2016: 3433-3440 - [c28]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: 3824-3831 - [c27]Gabriel S. Simoes, Jonatas Wehrmann, Rodrigo C. Barros, Duncan D. Ruiz:
Movie genre classification with Convolutional Neural Networks. IJCNN 2016: 259-266 - [c26]Henry E. L. Cagnini, Rodrigo C. Barros, Christian Vahl Quevedo, Márcio P. Basgalupp:
Medoid-based data clustering with estimation of distribution algorithms. SAC 2016: 112-115 - [c25]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: 1486-1491 - 2015
- [c24]Henry E. L. Cagnini, Ana T. Winck, Rodrigo C. Barros:
A Portable OpenCL-Based Approach for SVMs in GPU. BRACIS 2015: 198-203 - [c23]Vili Podgorelec, Saso Karakatic, Rodrigo C. Barros, Márcio P. Basgalupp:
Evolving balanced decision trees with a multi-population genetic algorithm. CEC 2015: 54-61 - [c22]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: 2058-2065 - [c21]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: 1-8 - [c20]Luciano Costa Blomberg, Rodrigo C. Barros, Duncan D. Ruiz:
Evolving regression trees robust to missing data. SAC 2015: 102-109 - [c19]Márcio P. Basgalupp, Rodrigo C. Barros, Vili Podgorelec:
Evolving decision-tree induction algorithms with a multi-objective hyper-heuristic. SAC 2015: 110-117 - 2014
- [c18]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: 1279-1286 - [c17]Márcio Porto Basgalupp, Rodrigo Coelho Barros, Tiago Barabasz:
A grammatical evolution based hyper-heuristic for the automatic design of split criteria. GECCO 2014: 1311-1318 - 2013
- [c16]Ricardo Cerri, Rodrigo Coelho Barros, André C. P. L. F. de Carvalho:
Neural Networks for Hierarchical Classification of G-Protein Coupled Receptors. BRACIS 2013: 125-130 - [c15]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: 454-461 - [c14]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: 1413-1420 - [c13]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: 385-400 - [c12]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: 1109-1116 - 2012
- [c11]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: 1237-1244 - [c10]Ricardo Cerri, Rodrigo C. Barros, André Carlos Ponce de Leon Ferreira de Carvalho:
A genetic algorithm for Hierarchical Multi-Label Classification. SAC 2012: 250-255 - [c9]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: 829-830 - [c8]Márcio P. Basgalupp, Rodrigo C. Barros, Duncan D. Ruiz:
Predicting software maintenance effort through evolutionary-based decision trees. SAC 2012: 1209-1214 - 2011
- [c7]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: 567-574 - [c6]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: 337-343 - [c5]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: 450-456 - [c4]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: 543-550 - 2010
- [c3]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: 1131-1137 - 2009
- [c2]Márcio P. Basgalupp, Rodrigo C. Barros, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas, Duncan D. Ruiz:
LEGAL-tree: a lexicographic multi-objective genetic algorithm for decision tree induction. SAC 2009: 1085-1090 - 2008
- [c1]Rodrigo C. Barros, Duncan Dubugras A. Ruiz, Nelson N. Tenório Jr., Márcio P. Basgalupp, Karin Becker:
Issues on Estimating Software Metrics in a Large Software Operation. SEW 2008: 152-160
Informal and Other Publications
- 2025
- [i17]Arthur S. Bianchessi, Rodrigo C. Barros, Lucas S. Kupssinskü:
Bayesian Attention Mechanism: A Probabilistic Framework for Positional Encoding and Context Length Extrapolation. CoRR abs/2505.22842 (2025) - [i16]Lucas S. Kupssinskü, Marco N. Bochernitsan, Jordan Kopper, Otávio Parraga, Rodrigo C. Barros:
Inference Time Debiasing Concepts in Diffusion Models. CoRR abs/2508.14933 (2025) - [i15]Marco N. Bochernitsan, Rodrigo C. Barros, Lucas S. Kupssinskü:
A Framework for Benchmarking Fairness-Utility Trade-offs in Text-to-Image Models via Pareto Frontiers. CoRR abs/2508.16752 (2025) - 2023
- [i14]Juarez Monteiro, Nathan Gavenski, Felipe Meneguzzi, Rodrigo C. Barros:
Self-Supervised Adversarial Imitation Learning. CoRR abs/2304.10914 (2023) - [i13]Christian Mattjie de Oliveira, Luis Vinícius de Moura, Rafaela Cappelari Ravazio, Lucas Silveira Kupssinskü, Otávio Parraga, Marcelo Mussi Delucis, Rodrigo Coelho Barros:
Zero-shot performance of the Segment Anything Model (SAM) in 2D medical imaging: A comprehensive evaluation and practical guidelines. CoRR abs/2305.00109 (2023) - 2022
- [i12]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:
Debiasing Methods for Fairer Neural Models in Vision and Language Research: A Survey. CoRR abs/2211.05617 (2022) - 2020
- [i11]Camila Kolling, Jonatas Wehrmann, Rodrigo C. Barros:
Component Analysis for Visual Question Answering Architectures. CoRR abs/2002.05104 (2020) - [i10]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 abs/2004.13482 (2020) - [i9]Juarez Monteiro, Nathan Gavenski, Roger Granada, Felipe Meneguzzi, Rodrigo Coelho Barros:
Augmented Behavioral Cloning from Observation. CoRR abs/2004.13529 (2020) - [i8]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 abs/2008.04738 (2020) - [i7]Nathan Gavenski, Juarez Monteiro, Roger Granada, Felipe Meneguzzi, Rodrigo C. Barros:
Imitating Unknown Policies via Exploration. CoRR abs/2008.05660 (2020) - [i6]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 abs/2009.07430 (2020) - [i5]Estevão Testa, Rodrigo C. Barros, Soraia Raupp Musse:
CrowdEst: A Method for Estimating (and not Simulating) Crowd Evacuation Parameters in Generic Environments. CoRR abs/2010.00004 (2020) - 2019
- [i4]João Paulo Aires, Roger Granada, Juarez Monteiro, Rodrigo C. Barros, Felipe Meneguzzi:
Classifying Norm Conflicts using Learned Semantic Representations. CoRR abs/1906.02121 (2019) - [i3]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 abs/1909.01940 (2019) - 2018
- [i2]Christian S. Perone, Pedro L. Ballester, Rodrigo C. Barros, Julien Cohen-Adad:
Unsupervised domain adaptation for medical imaging segmentation with self-ensembling. CoRR abs/1811.06042 (2018) - 2017
- [i1]Jonatas Wehrmann, Anderson Mattjie, Rodrigo C. Barros:
Order embeddings and character-level convolutions for multimodal alignment. CoRR abs/1706.00999 (2017)
Coauthor Index
Márcio P. Basgalupp
aka: Márcio Porto Basgalupp
aka: Márcio Porto Basgalupp
André C. P. L. F. de Carvalho
aka: André Carlos Ponce de Leon Ferreira de Carvalho
aka: André Carlos Ponce de Leon Ferreira de Carvalho
Nathan Gavenski
aka: Nathan S. Gavenski
aka: Nathan S. Gavenski
Roger Granada
aka: Roger Leitzke Granada
aka: Roger Leitzke Granada
Lucas S. Kupssinskü
aka: Lucas Silveira Kupssinskü
aka: Lucas Silveira Kupssinskü
Felipe Meneguzzi
aka: Felipe Rech Meneguzzi
aka: Felipe Rech Meneguzzi
Juarez Monteiro
aka: Juarez Monteiro dos Santos
aka: Juarez Monteiro dos Santos
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