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2020 – today
- 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. de 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
- [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) - [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 - [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
- [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 - [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) - 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) - [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 - [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)
2010 – 2019
- 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) - [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 - [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
- [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) - [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 - [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
- [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) - [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 - [i1]Jonatas Wehrmann, Anderson Mattjie, Rodrigo C. Barros:
Order embeddings and character-level convolutions for multimodal alignment. CoRR abs/1706.00999 (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) - [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
- [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 - [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) - [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
- [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) - [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
- [b1]Rodrigo Coelho Barros:
Sobre o projeto automático de algoritmos de indução de árvores de decisão. University of São Paulo, Brazil, 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) - [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
- [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) - [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
- [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) - [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
2000 – 2009
- 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) - [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
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
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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Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:12 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
