André C. P. L. F. de Carvalho

217 papers A 5B 21C 7Misc 15Journal 103Unranked 63

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A literature review on automated machine learning. Artif. Intell. Rev. Edesio Alcobaça, André C. P. L. F. de Carvalho
2026	J	`jnl`	Comparative analysis of data sampling techniques for legal text classification in real-world scenarios. Log. J. IGPL Daniela L. Freire, Leandro O. da Silva, Márcio de Souza Dias, Alex Marino Gonçalves de Almeida, Adriano Rivolli, Fabíola S. F. Pereira, Giliard Almeida de Godoi, Márcio P. Basgalupp, André C. P. L. F. de Carvalho
2026	J	`jnl`	Segmenting Brazilian legislative text using weak supervision and active learning. Artif. Intell. Law Felipe Alves Siqueira, Diany Pressato, Fabíola S. F. Pereira, Nádia Félix F. da Silva, Ellen Souza, Márcio de Souza Dias, André C. P. L. F. de Carvalho
2026	J	`jnl`	Using reinforcement learning in genome assembly: in-depth analysis of a Q-learning assembler. Frontiers Bioinform. Kleber Padovani de Souza, Rafael Cabral Borges, Roberto Xavier, André C. P. L. F. de Carvalho, Anna Reali, Annie Chateau, Ronnie Alves
2025	J	`jnl`	Dynamic Design of Machine Learning Pipelines via Metalearning. CoRR Edesio Alcobaça, André C. P. L. F. de Carvalho
2025	—	`conf`	Hardness Sampling: Exploring Instance Hardness in Pool-Based Active Learning. BRACIS (2) Gabriel da S. C. Nogueira, Davi P. dos Santos, André C. P. L. F. de Carvalho, Luís Paulo F. Garcia
2025	J	`jnl`	International AI Safety Report 2025: First Key Update: Capabilities and Risk Implications. CoRR Yoshua Bengio, Stephen Clare, Carina Prunkl, Shalaleh Rismani, Maksym Andriushchenko, Ben Bucknall, Philip Fox, Tiancheng Hu, Cameron Jones, Sam Manning, Nestor Maslej, Vasilios Mavroudis, Conor McGlynn, Malcolm Murray, Charlotte Stix, Lucia Velasco, Nicole Wheeler, Daniel Privitera, Sören Mindermann, Daron Acemoglu, Thomas G. Dietterich, Fredrik Heintz, Geoffrey E. Hinton, Nicholas R. Jennings, Susan Leavy, Teresa Ludermir, Vidushi Marda, Helen Margetts, John A. McDermid, Jane Munga, Arvind Narayanan, Alondra Nelson, Clara Neppel, Gopal Ramchurn, Stuart Russell, Marietje Schaake, Bernhard Schölkopf, Alavaro Soto, Lee Tiedrich, Gaël Varoquaux, Andrew Yao, Yan-Ning Zhang, Leandro Aguirre, Olubunmi Ajala, Fahad Albalawi Noora AlMalek, Christian Busch, André C. P. L. F. de Carvalho, Jonathan Collas, Amandeep Gill, Ahmet Halit Hatip, Juha Heikkilä, Chris Johnson, Gill Jolly, Ziv Katzir, Mary Kerema, Hiroaki Kitano, Antonio Krüger, Aoife McLysaght, Oleksii Molchanovskyi, Andrea Monti, Kyoung Mu Lee, Mona Nemer, Nuria Oliver, Raquel Pezoa Rivera, Audrey Plonk, José Ramón López Portillo, Balaraman Ravindran, Hammam Riza, Crystal Rugege, Haroon Sheikh, Denise Wong, Yi Zeng, Liming Zhu
2025	J	`jnl`	METAFORE: algorithm selection for decomposition-based forecasting combinations. Int. J. Data Sci. Anal. Moisés Santos, André C. P. L. F. de Carvalho, Carlos Soares
2025	—	`conf`	Physics-Informed Neural Networks for Modelling Rheumatoid Arthritis Progression - A Novel Approach Integrating Pathophysiological Laws with Machine Learning. IDEAL (2) Daniela L. Freire, Guilherme Megeto, Lucas Gessoni, Irene Fantini, Ricardo Dutra, Heloisa Leão, Maira Pitta, André C. P. L. F. de Carvalho
2025	—	`conf`	Techniques for Dealing with Imbalanced Data: A Systematic Literature Review. STIL Leandro O. da Silva, Daniela L. Freire, Márcio P. Basgalupp, André C. P. L. F. de Carvalho
2025	J	`jnl`	Ulysses Tesemõ: a new large corpus for Brazilian legal and governmental domain. Lang. Resour. Evaluation Felipe Alves Siqueira, Douglas Vitório, Ellen Souza, José A. P. Santos, Hidelberg Oliveira Albuquerque, Márcio de Souza Dias, Nádia Félix F. da Silva, André C. P. L. F. de Carvalho, Adriano L. I. Oliveira, Carmelo J. A. Bastos Filho
2024	—	`conf`	A Methodology for Automated Conversion of Axis-Aligned to Polygonal and Oriented Bounding Box Annotations in Aerial Imagery Object Detection. IDEAL (2) Daniela L. Freire, André C. P. L. F. de Carvalho, Augusto José Peterlevitz, Mateus Antonio Chinelatto, Ricardo Dutra da Silva, Juan Fernando Rojas Perea
2024	J	`jnl`	A review on preprocessing algorithm selection with meta-learning. Knowl. Inf. Syst. Pedro B. Pio, Adriano Rivolli, André C. P. L. F. de Carvalho, Luís Paulo F. Garcia
2024	—	`conf`	Applying LSTM Recurrent Neural Networks to Predict Revenue. ICCSA (2) Luis Eduardo Pelin Cardoso, André C. P. L. F. de Carvalho, Marcos G. Quiles
2024	—	`conf`	Assessing Advanced Computer Vision Techniques in Aerial Imagery: A Case Study on Transmission Tower Identification. EPIA (2) Daniela L. Freire, André C. P. L. F. de Carvalho, Augusto José Peterlevitz, Mateus A. Chinelatto, Ricardo Dutra da Silva, Juan Fernando Rojas Perea
2024	J	`jnl`	Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms. Data Min. Knowl. Discov. Rafael Gomes Mantovani, Tomás Horváth, André L. D. Rossi, Ricardo Cerri, Sylvio Barbon Junior, Joaquin Vanschoren, André C. P. L. F. de Carvalho
2024	J	`jnl`	Democratising Artificial Intelligence for Pandemic Preparedness and Global Governance in Latin American and Caribbean Countries. CoRR André C. P. L. F. de Carvalho, Robson Bonidia, Jude Dzevela Kong, Mariana Dauhajre, Cláudio José Struchiner, Guilherme Tegoni Goedert, Peter F. Stadler, Maria Emília M. T. Walter, Danilo Sipoli Sanches, Troy Day, Marcia Castro, John Edmunds, Manuel Colomé-Hidalgo, Demian Arturo Herrera Morban, Edian F. Franco, Cesar Ugarte-Gil, Patricia Espinoza-Lopez, Gabriel Carrasco-Escobar, Ulisses Nunes da Rocha
2024	—	`conf`	Efficient Parameter Mining and Freezing for Continual Object Detection. VISIGRAPP (2): VISAPP Angelo G. Menezes, Augusto José Peterlevitz, Mateus Antonio Chinelatto, André C. P. L. F. de Carvalho
2024	J	`jnl`	Efficient Parameter Mining and Freezing for Continual Object Detection. CoRR Angelo G. Menezes, Augusto José Peterlevitz, Mateus Antonio Chinelatto, André C. P. L. F. de Carvalho
2024	—	`conf`	Enhancing Algorithm Performance Understanding through tsMorph: Generating Semi-Synthetic Time Series for Robust Forecasting Evaluation. AEQUITAS@ECAI Moisés Santos, André C. P. L. F. de Carvalho, Carlos Soares
2024	—	`conf`	Enhancing Explainability in Oral Cancer Detection with Grad-CAM Visualizations. ICCSA (1) Arnaldo Vitor Barros da Silva, Cristina Saldivia-Siracusa, Eduardo Santos Carlos de Souza, Anna Luíza Damaceno Araújo, Marcio Ajudarte Lopes, Pablo Agustin Vargas, Luiz Paulo Kowalski, Alan Roger Santos-Silva, André C. P. L. F. de Carvalho, Marcos G. Quiles
2024	J	`jnl`	Forecasting financial market structure from network features using machine learning. Knowl. Inf. Syst. Douglas Castilho, Thársis T. P. Souza, Soong Moon Kang, João Gama, André C. P. L. F. de Carvalho
2024	—	`conf`	HIRS: A Hybrid Information Retrieval System for Legislative Documents. EPIA (1) José Antônio dos Santos, Ellen Souza, Carmelo J. A. Bastos Filho, Hidelberg Oliveira Albuquerque, Douglas Vitório, Danilo Carlos Gouveia de Lucena, Nádia Félix F. da Silva, André C. P. L. F. de Carvalho
2024	J	`jnl`	Multi-source data ensemble for energy price trend forecasting. Eng. Appl. Artif. Intell. Douglas Donizeti de Castilho Braz, Moisés Rocha dos Santos, Marcos Basile Saviano de Paula, Donato da Silva-Filho, Ewerton Guarnier, Lucas Penido Alípio, Renato Tinós, André C. P. L. F. de Carvalho
2024	J	`jnl`	ProtoAL: Interpretable Deep Active Learning with prototypes for medical imaging. CoRR Iury Batista de Andrade Santos, André C. P. L. F. de Carvalho
2024	—	`conf`	UlyssesNERQ: Expanding Queries from Brazilian Portuguese Legislative Documents through Named Entity Recognition. PROPOR (1) Hidelberg Albuquerque, Ellen Souza, Tainan Silva, Rafael P. Gouveia, Flávio Rocha Junior, Douglas Vitório, Nádia Félix F. da Silva, André C. P. L. F. de Carvalho, Adriano Lorena Inácio de Oliveira, Francisco Edmundo de Andrade
2023	J	`jnl`	Continual Object Detection: A review of definitions, strategies, and challenges. Neural Networks Angelo G. Menezes, Gustavo de Moura, Cézanne Alves, André C. P. L. F. de Carvalho
2023	Misc	`conf`	Exploratory Study of Data Sampling Methods for Imbalanced Legal Text Classification. HAIS Daniela L. Freire, Alex Marino Gonçalves de Almeida, Márcio de Souza Dias, Adriano Rivolli, Fabíola S. F. Pereira, Giliard Almeida de Godoi, André C. P. L. F. de Carvalho
2023	B	`conf`	Feature Selection using Complex Networks to Support Price Trend Forecast in Energy Markets. IJCNN Douglas Castilho, Moisés R. Santos, Renato Tinós, André C. P. L. F. de Carvalho, Marcos B. S. Paula, Lucas Ladeira, Ewerton Guarnier, Donato da Silva-Filho, Danilo Y. Suiama, Antonio Carlos De Oliveira Júnior, Lucas Penido Alípio
2023	J	`jnl`	Hyper-parameter initialization of classification algorithms using dynamic time warping: A perspective on PCA meta-features. Appl. Soft Comput. Tomás Horváth, Rafael G. Mantovani, André C. P. L. F. de Carvalho
2023	Misc	`conf`	Model Performance Prediction: A Meta-Learning Approach for Concept Drift Detection. HAIS Fernanda A. Melo, André C. P. L. F. de Carvalho, Ana Carolina Lorena, Luís Paulo F. Garcia
2023	J	`jnl`	Named Entity Recognition: a Survey for the Portuguese Language. Proces. del Leng. Natural Hidelberg Oliveira Albuquerque, Ellen Souza, Carlos Gomes, Matheus Henrique de C. Pinto, Ricardo P. S. Filho, Rosimeire Costa, Vinícius Teixeira de M. Lopes, Nádia Félix F. da Silva, André C. P. L. F. de Carvalho, Adriano L. I. Oliveira
2023	J	`jnl`	Neural architecture search with interpretable meta-features and fast predictors. Inf. Sci. Gean Trindade Pereira, Iury Batista de Andrade Santos, Luís Paulo F. Garcia, Thierry Urruty, Muriel Visani, André C. P. L. F. de Carvalho
2023	—	`conf`	Nonparametric Dimensionality Reduction Quality Assessment based on Sortedness of Unrestricted Neighborhood. EuroVA@EuroVis Davi Pereira-Santos, Tácito Trindade de Araújo Tiburtino Neves, André C. P. L. F. de Carvalho, Fernando V. Paulovich
2023	—	`conf`	On the Assessment of Deep Learning Models for Named Entity Recognition of Brazilian Legal Documents. EPIA (2) Hidelberg Oliveira Albuquerque, Ellen Souza, Adriano L. I. Oliveira, David L. Macêdo, Cleber Zanchettin, Douglas Vitório, Nádia Félix F. da Silva, André C. P. L. F. de Carvalho
2023	—	`conf`	The Strength of Influence Ties in Stock Networks: Empirical Analysis for Portfolio Selection. ICDM (Workshops) Thiago Ambiel, Douglas Castilho, André C. P. L. F. de Carvalho
2023	C	`conf`	Threshold-Based Classification to Enhance Confidence in Open Set of Legal Texts. IDEAL Daniela L. Freire, Alex Marino Gonçalves de Almeida, Márcio de Souza Dias, Adriano Rivolli, Fabíola S. F. Pereira, Giliard Almeida de Godoi, André C. P. L. F. de Carvalho
2023	—	`conf`	Técnicas de sumarização de textos jurídicos para suporte à classificação de documentos de decisões judiciais. STIL Hellen Harada, Fabíola S. F. Pereira, Alex Marino Gonçalves de Almeida, Daniela L. Freire, Márcio de Souza Dias, Nádia Félix F. da Silva, Pedro Lucas Castro de Andrade, André C. P. L. F. de Carvalho
2023	J	`jnl`	tsMorph: generation of semi-synthetic time series to understand algorithm performance. CoRR Moisés Rocha dos Santos, André C. P. L. F. de Carvalho, Carlos Soares
2022	J	`jnl`	BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteria. Briefings Bioinform. Robson Bonidia, Anderson P. Avila-Santos, Breno Lívio Silva de Almeida, Peter F. Stadler, Ulisses Nunes da Rocha, Danilo Sipoli Sanches, André C. P. L. F. de Carvalho
2022	J	`jnl`	Continual Object Detection: A review of definitions, strategies, and challenges. CoRR Angelo G. Menezes, Gustavo de Moura, Cézanne Alves, André C. P. L. F. de Carvalho
2022	Misc	`conf`	Expanding UlyssesNER-Br Named Entity Recognition Corpus with Informal User-Generated Text. EPIA Rosimeire Costa, Hidelberg Oliveira Albuquerque, Gabriel Silvestre, Nádia Félix F. da Silva, Ellen Souza, Douglas Vitório, Augusto Nunes, Felipe Siqueira, João Pedro M. Tarrega, João Vitor P. Beinotti, Márcio de Souza Dias, Fabíola S. F. Pereira, Matheus Silva, Miguel de Mattos Gardini, Vinícius Adolfo Pereira da Silva, André C. P. L. F. de Carvalho, Adriano Lorena Inácio de Oliveira
2022	J	`jnl`	Information Theory for Biological Sequence Classification: A Novel Feature Extraction Technique Based on Tsallis Entropy. Entropy Robson Parmezan Bonidia, Anderson P. Avila-Santos, Breno Lívio Silva de Almeida, Peter F. Stadler, Ulisses Nunes da Rocha, Danilo Sipoli Sanches, André C. P. L. F. de Carvalho
2022	J	`jnl`	Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification. CoRR Adrian El Baz, André C. P. L. F. de Carvalho, Hong Chen, Fabio Ferreira, Henry Gouk, Shell Hu, Frank Hutter, Zhengying Liu, Felix Mohr, Jan N. van Rijn, Xin Wang, Isabelle Guyon
2022	—	`conf`	Machine Learning Approach for Trend Prediction to Improve Returns on Brazilian Energy Market. LA-CCI Moisés R. Santos, Douglas Donizeti de Castilho Braz, André C. P. L. F. de Carvalho, Renato Tinós, Marcos B. S. Paula, Gabriel Doretto, Ewerton Guarnier, Donato da Silva-Filho, Danilo Y. Suiama, Lorena E. Ferreira, José E. Carmo Júnior
2022	J	`jnl`	MathFeature: feature extraction package for DNA, RNA and protein sequences based on mathematical descriptors. Briefings Bioinform. Robson Bonidia, Douglas Silva Domingues, Danilo Sipoli Sanches, André C. P. L. F. de Carvalho
2022	J	`jnl`	Meta-features for meta-learning. Knowl. Based Syst. Adriano Rivolli, Luís Paulo F. Garcia, Carlos Soares, Joaquin Vanschoren, André C. P. L. F. de Carvalho
2022	J	`jnl`	Model interpretation using improved local regression with variable importance. CoRR Gilson Y. Shimizu, Rafael Izbicki, André C. P. L. F. de Carvalho
2022	—	`conf`	UlyssesNER-Br: A Corpus of Brazilian Legislative Documents for Named Entity Recognition. PROPOR Hidelberg Oliveira Albuquerque, Rosimeire Costa, Gabriel Silvestre, Ellen Souza, Nádia Félix F. da Silva, Douglas Vitório, Gyovana Moriyama, Lucas Martins, Luiza Soezima, Augusto Nunes, Felipe Siqueira, João Pedro M. Tarrega, João Vitor P. Beinotti, Márcio de Souza Dias, Matheus Silva, Miguel de Mattos Gardini, Vinícius Adolfo Pereira da Silva, André C. P. L. F. de Carvalho, Adriano L. I. Oliveira
2022	Misc	`conf`	UlyssesSD-Br: Stance Detection in Brazilian Political Polls. EPIA Dyonnatan Ferreira Maia, Nádia Félix F. da Silva, Ellen Polliana Ramos Souza, Augusto Sousa Nunes, Lucas C. Procópio, Guthemberg da S. Sampaio, Márcio de Souza Dias, Adrio O. Alves, Dyéssica F. Maia, Ingrid A. Ribeiro, Fabíola S. F. Pereira, André C. P. L. F. de Carvalho
2022	J	`jnl`	Using meta-learning for multi-target regression. Inf. Sci. Gabriel Jonas Aguiar, Everton José Santana, André C. P. L. F. de Carvalho, Sylvio Barbon Junior
2021	J	`jnl`	<tt>CRISPRloci: </tt> comprehensive and accurate annotation of CRISPR-Cas systems. Nucleic Acids Res. Omer S. Alkhnbashi, Alexander Mitrofanov, Robson Bonidia, Martin Raden, Van Dinh Tran, Florian Eggenhofer, Shiraz A. Shah, Ekrem Öztürk, Victor Alexandre Padilha, Danilo Sipoli Sanches, André C. P. L. F. de Carvalho, Rolf Backofen
2021	—	`conf`	A Study of the Correlation of Metafeatures Used for Metalearning. IWANN (1) Adriano Rivolli, Luís Paulo F. Garcia, Ana Carolina Lorena, André C. P. L. F. de Carvalho
2021	C	`conf`	An Information Retrieval Pipeline for Legislative Documents from the Brazilian Chamber of Deputies. JURIX Ellen Souza, Douglas Vitório, Gyovana Moriyama, Luiz Santos, Lucas Martins, Mariana Souza, Márcio Fonseca F. da Silva, Nádia Félix, André C. P. L. F. de Carvalho, Hidelberg Oliveira Albuquerque, Adriano L. I. Oliveira
2021	J	`jnl`	An ensemble of autonomous auto-encoders for human activity recognition. Neurocomputing Kemilly Dearo Garcia, Cláudio Rebelo de Sá, Mannes Poel, Tiago Carvalho, João Mendes-Moreira, João M. P. Cardoso, André C. P. L. F. de Carvalho, Joost N. Kok
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	—	`conf`	Assessing the Impact of Stemming Algorithms Applied to Brazilian Legislative Documents Retrieval. STIL Ellen Souza, Gyovana Moriyama, Douglas Vitório, André C. P. L. F. de Carvalho, Nádia Félix, Hidelberg Oliveira Albuquerque, Adriano L. I. Oliveira
2021	J	`jnl`	Assessing the data complexity of imbalanced datasets. Inf. Sci. Victor H. Barella, Luís Paulo F. Garcia, Marcilio C. P. de Souto, Ana Carolina Lorena, André C. P. L. F. de Carvalho
2021	J	`jnl`	Casboundary: automated definition of integral Cas cassettes. Bioinform. Victor Alexandre Padilha, Omer S. Alkhnbashi, Van Dinh Tran, Shiraz A. Shah, André C. P. L. F. de Carvalho, Rolf Backofen
2021	J	`jnl`	DropLeaf: A precision farming smartphone tool for real-time quantification of pesticide application coverage. Comput. Electron. Agric. Bruno Brandoli, Gabriel Spadon, Travis J. Esau, Patrick Hennessy, André C. P. L. F. de Carvalho, Sihem Amer-Yahia, José F. Rodrigues Jr.
2021	—	`conf`	Evaluate Pseudo Labeling and CNN for Multi-variate Time Series Classification in Low-Data Regimes. ICANN (5) Dino Ienco, Davi Pereira dos Santos, André C. P. L. F. de Carvalho
2021	—	`conf`	Evaluating Clustering Meta-features for Classifier Recommendation. BRACIS (1) Luís Paulo F. Garcia, Felipe Campelo, Guilherme Novaes Ramos, Adriano Rivolli, André C. P. L. F. de Carvalho
2021	—	`conf`	Evaluating Topic Models in Portuguese Political Comments About Bills from Brazil's Chamber of Deputies. BRACIS (2) Nádia Félix F. da Silva, Marília Costa R. Silva, Fabíola S. F. Pereira, João Pedro M. Tarrega, João Vitor P. Beinotti, Márcio Fonseca, Francisco Edmundo de Andrade, André C. P. L. F. de Carvalho
2021	—	`conf`	Fast and lightweight binary and multi-branch Hoeffding Tree Regressors. ICDM (Workshops) Saulo Martiello Mastelini, Jacob Montiel, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, André C. P. L. F. de Carvalho
2021	J	`jnl`	Feature extraction approaches for biological sequences: a comparative study of mathematical features. Briefings Bioinform. Robson Bonidia, Lucas Dias H. Sampaio, Douglas Silva Domingues, Alexandre Rossi Paschoal, Fabrício Martins Lopes, André C. P. L. F. de Carvalho, Danilo Sipoli Sanches
2021	J	`jnl`	Forecasting Financial Market Structure from Network Features using Machine Learning. CoRR Douglas Castilho, Thársis Tuani Pinto Souza, Soong Moon Kang, João Gama, André C. P. L. F. de Carvalho
2021	—	`conf`	Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification. NeurIPS (Competition and Demos) Adrian El Baz, Ihsan Ullah, Edesio Alcobaça, André C. P. L. F. de Carvalho, Hong Chen, Fabio Ferreira, Henry Gouk, Chaoyu Guan, Isabelle Guyon, Timothy M. Hospedales, Shell Hu, Mike Huisman, Frank Hutter, Zhengying Liu, Felix Mohr, Ekrem Öztürk, Jan N. van Rijn, Haozhe Sun, Xin Wang, Wenwu Zhu
2021	J	`jnl`	Performance evaluation of outlier rules for labelling outliers in multidimensional dataset. Int. J. Bus. Intell. Data Min. Kelly C. Ramos Da Silva, Helder L. Costa De Oliveira, André C. P. L. F. de Carvalho
2021	J	`jnl`	Predictable universally unique identification of sequential events on complex objects. CoRR Davi Pereira-Santos, Gabriel Dalforno, André C. P. L. F. de Carvalho
2021	B	`conf`	Seasonal-Trend decomposition based on Loess + Machine Learning: Hybrid Forecasting for Monthly Univariate Time Series. IJCNN Gabriel Dalforno Silvestre, Moisés Rocha dos Santos, André C. P. L. F. de Carvalho
2021	C	`conf`	Time-Series in Hyper-parameter Initialization of Machine Learning Techniques. IDEAL Tomás Horváth, Rafael Gomes Mantovani, André C. P. L. F. de Carvalho
2021	J	`jnl`	Towards a reinforcement learning de novo genome assembler. CoRR Kleber Padovani de Souza, Roberto Xavier, André C. P. L. F. de Carvalho, Anna Reali, Annie Chateau, Ronnie Alves
2020	J	`jnl`	A Meta-learning approach for recommending the number of clusters for clustering algorithms. Knowl. Based Syst. Bruno Almeida Pimentel, André C. P. L. F. de Carvalho
2020	J	`jnl`	A Novel Decomposing Model With Evolutionary Algorithms for Feature Selection in Long Non-Coding RNAs. IEEE Access Robson Parmezan Bonidia, Jaqueline Sayuri Machida, Tatianne da Costa Negri, Wonder Alexandre Luz Alves, André Y. Kashiwabara, Douglas Silva Domingues, André C. P. L. F. de Carvalho, Alexandre Rossi Paschoal, Danilo Sipoli Sanches
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	J	`jnl`	An empirical analysis of binary transformation strategies and base algorithms for multi-label learning. Mach. Learn. Adriano Rivolli, Jesse Read, Carlos Soares, Bernhard Pfahringer, André C. P. L. F. de Carvalho
2020	J	`jnl`	An intelligent and generic approach for detecting human emotions: a case study with facial expressions. Soft Comput. Leandro Y. Mano, Bruno S. Faiçal, Vinícius P. Gonçalves, Gustavo Pessin, Pedro Henrique Gomes, André C. P. L. F. de Carvalho, Jó Ueyama
2020	J	`jnl`	Boosting meta-learning with simulated data complexity measures. Intell. Data Anal. Luís Paulo F. Garcia, Adriano Rivolli, Edesio Alcobaça, Ana Carolina Lorena, André C. P. L. F. de Carvalho
2020	—	`conf`	Combining Mutation and Gene Network Data in a Machine Learning Approach for False-Positive Cancer Driver Gene Discovery. BSB Jorge Francisco Cutigi, Renato Feijo Evangelista, Rodrigo Henrique Ramos, Cynthia de Oliveira Lage Ferreira, Adriane Feijo Evangelista, André C. P. L. F. de Carvalho, Adenilso Simão
2020	J	`jnl`	DropLeaf: a precision farming smartphone application for measuring pesticide spraying methods. CoRR Bruno Brandoli, Gabriel Spadon, Travis J. Esau, Patrick Hennessy, André C. P. L. F. de Carvalho, José F. Rodrigues Jr., Sihem Amer-Yahia
2020	J	`jnl`	Ensemble of Classifiers Based on Multiobjective Genetic Sampling for Imbalanced Data. IEEE Trans. Knowl. Data Eng. Everlandio R. Q. Fernandes, André C. P. L. F. de Carvalho, Xin Yao
2020	Misc	`conf`	Evaluation of Error Metrics for Meta-learning Label Definition in the Forecasting Task. HAIS Moisés Rocha dos Santos, Leandro Resende Mundim, André C. P. L. F. de Carvalho
2020	J	`jnl`	MFE: Towards reproducible meta-feature extraction. J. Mach. Learn. Res. Edesio Alcobaça, Felipe Siqueira, Adriano Rivolli, Luís Paulo F. Garcia, Jefferson Tales Oliva, André C. P. L. F. de Carvalho
2020	J	`jnl`	MeLIME: Meaningful Local Explanation for Machine Learning Models. CoRR Tiago Botari, Frederik Hvilshøj, Rafael Izbicki, André C. P. L. F. de Carvalho
2020	—	`conf`	Simulating Complexity Measures on Imbalanced Datasets. BRACIS (2) Victor H. Barella, Luís Paulo F. Garcia, André C. P. L. F. de Carvalho
2019	—	`conf`	A Study on Hyperparameter Configuration for Human Activity Recognition. SOCO Kemilly Dearo Garcia, Tiago Carvalho, João Mendes-Moreira, João M. P. Cardoso, André C. P. L. F. de Carvalho
2019	J	`jnl`	A meta-learning approach for selecting image segmentation algorithm. Pattern Recognit. Lett. Gabriel Jonas Aguiar, Rafael Gomes Mantovani, Saulo Martiello Mastelini, André C. P. L. F. de Carvalho, Gabriel F. C. Campos, Sylvio Barbon Junior
2019	J	`jnl`	A meta-learning recommender system for hyperparameter tuning: Predicting when tuning improves SVM classifiers. Inf. Sci. Rafael Gomes Mantovani, André L. D. Rossi, Edesio Alcobaça, Joaquin Vanschoren, André C. P. L. F. de Carvalho
2019	J	`jnl`	A new data characterization for selecting clustering algorithms using meta-learning. Inf. Sci. Bruno Almeida Pimentel, André C. P. L. F. de Carvalho
2019	B	`conf`	A non-negative matrix factorization approach to update communities in temporal networks using node features. ASONAM Renny Márquez, Richard Weber, André C. P. L. F. de Carvalho
2019	J	`jnl`	Bringing robustness against adversarial attacks. Nat. Mach. Intell. Gean Trindade Pereira, André C. P. L. F. de Carvalho
2019	B	`conf`	Ensemble Clustering for Novelty Detection in Data Streams. DS Kemilly Dearo Garcia, Elaine Ribeiro de Faria, Cláudio Rebelo de Sá, João Mendes-Moreira, Charu C. Aggarwal, André C. P. L. F. de Carvalho, Joost N. Kok
2019	J	`jnl`	Evolutionary inversion of class distribution in overlapping areas for multi-class imbalanced learning. Inf. Sci. Everlandio R. Q. Fernandes, André C. P. L. F. de Carvalho
2019	—	`conf`	Feature-Based Time Series Classification for Service Request Opening Prediction in the Telecom Industry. EPIA (2) Fabíola S. F. Pereira, André C. P. L. F. de Carvalho, Rafael Assis, Maxley Costa, Elaine R. Faria, Rita Maria da Silva Julia, Umberto Barcelos, Jony Melo
2019	—	`conf`	Fraud Detection Using Explainable Machine Learning Algorithms. MLDM (1) Luciano Carli Moreira de Andrade, André C. P. L. F. de Carvalho
2019	—	`conf`	Gradient Boosting Machine and LSTM Network for Online Harassment Detection and Categorization in Social Media. PKDD/ECML Workshops (2) Fabíola S. F. Pereira, Thiago Andrade, André C. P. L. F. de Carvalho
2019	—	`conf`	Improving Portfolio Optimization Using Weighted Link Prediction in Dynamic Stock Networks. ICCS (3) Douglas Castilho, João Gama, Leandro Resende Mundim, André C. P. L. F. de Carvalho
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	—	`conf`	Local Interpretation Methods to Machine Learning Using the Domain of the Feature Space. PKDD/ECML Workshops (1) Tiago Botari, Rafael Izbicki, André C. P. L. F. de Carvalho
2019	J	`jnl`	Local Interpretation Methods to Machine Learning Using the Domain of the Feature Space. CoRR Tiago Botari, Rafael Izbicki, André C. P. L. F. de Carvalho
2019	J	`jnl`	New label noise injection methods for the evaluation of noise filters. Knowl. Based Syst. Luís Paulo F. Garcia, Jens Lehmann, André C. P. L. F. de Carvalho, Ana Carolina Lorena
2019	—	`conf`	Online Clustering for Novelty Detection and Concept Drift in Data Streams. EPIA (2) Kemilly Dearo Garcia, Mannes Poel, Joost N. Kok, André C. P. L. F. de Carvalho
2019	B	`conf`	Qualitative data clustering: a new Integer Linear Programming model. IJCNN Luiz Henrique Nogueira Lorena, Marcos Gonçalves Quiles, Luiz Antonio Nogueira Lorena, André C. P. L. F. de Carvalho, Juliana Garcia Cespedes
2019	J	`jnl`	Reconstructing commuters network using machine learning and urban indicators. CoRR Gabriel Spadon, André C. P. L. F. de Carvalho, José F. Rodrigues Jr., Luiz G. A. Alves
2019	—	`conf`	The Influence of Sampling on Imbalanced Data Classification. BRACIS Victor H. Barella, Luís Paulo F. Garcia, André C. P. L. F. de Carvalho
2019	J	`jnl`	Transfer Learning for Algorithm Recommendation. CoRR Gean Trindade Pereira, Moisés Rocha dos Santos, Edesio Alcobaça, Rafael Gomes Mantovani, André C. P. L. F. de Carvalho
2019	B	`conf`	Unsupervised Meta-Learning for Clustering Algorithm Recommendation. IJCNN Bruno Almeida Pimentel, André C. P. L. F. de Carvalho
2018	—	`conf`	A Cluster-Based Prototype Reduction for Online Classification. IDEAL (1) Kemilly Dearo Garcia, André C. P. L. F. de Carvalho, João Mendes-Moreira
2018	J	`jnl`	A Preliminary Study on Hyperparameter Configuration for Human Activity Recognition. CoRR Kemilly Dearo Garcia, Tiago Carvalho, João Mendes-Moreira, João M. P. Cardoso, André C. P. L. F. de Carvalho
2018	C	`conf`	A comparative analysis of the automatic modeling of Learning Styles through Machine Learning techniques. FIE Lucas D. Ferreira, Gabriel Spadon, André C. P. L. F. de Carvalho, José F. Rodrigues Jr.
2018	Misc	`conf`	A label ranking approach for selecting rankings of collaborative filtering algorithms. SAC Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho
2018	Misc	`conf`	A smartphone application to measure the quality of pest control spraying machines via image analysis. SAC Bruno Brandoli Machado, Gabriel Spadon, Mauro S. Arruda, Wesley Nunes Gonçalves, André C. P. L. F. de Carvalho, José F. Rodrigues Jr.
2018	J	`jnl`	Adaptive Biometric Systems using Ensembles. IEEE Intell. Syst. Paulo Henrique Pisani, Ana Carolina Lorena, André C. P. L. F. de Carvalho
2018	J	`jnl`	Algorithm Selection for Collaborative Filtering: the influence of graph metafeatures and multicriteria metatargets. CoRR Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho
2018	J	`jnl`	An online adaptive classifier ensemble for mining non-stationary data streams. Intell. Data Anal. Alberto Verdecia-Cabrera, Isvani Inocencio Frías Blanco, André C. P. L. F. de Carvalho
2018	B	`conf`	CF4CF-META: Hybrid Collaborative Filtering Algorithm Selection Framework. DS Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho
2018	J	`jnl`	CF4CF: Recommending Collaborative Filtering algorithms using Collaborative Filtering. CoRR Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho
2018	A	`conf`	CF4CF: recommending collaborative filtering algorithms using collaborative filtering. RecSys Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho
2018	B	`conf`	Data Complexity Measures for Imbalanced Classification Tasks. IJCNN Victor H. Barella, Luís Paulo F. Garcia, Marcilio C. P. de Souto, Ana Carolina Lorena, André C. P. L. F. de Carvalho
2018	—	`conf`	Dimensionality Reduction for the Algorithm Recommendation Problem. BRACIS Edesio Alcobaça, Rafael Gomes Mantovani, André L. D. Rossi, André C. P. L. F. de Carvalho
2018	J	`jnl`	Enhancing multilabel classification for food truck recommendation. Expert Syst. J. Knowl. Eng. Adriano Rivolli, Carlos Soares, André C. P. L. F. de Carvalho
2018	—	`conf`	Label Expansion for Multi-label Classification. BRACIS Adriano Rivolli, Carlos Soares, André C. P. L. F. de Carvalho
2018	—	`conf`	Making Data Stream Classification Tree-Based Ensembles Lighter. BRACIS Victor G. Turrisi da Costa, Saulo Martiello Mastelini, André C. P. L. F. de Carvalho, Sylvio Barbon
2018	J	`jnl`	Metalearning and Recommender Systems: A literature review and empirical study on the algorithm selection problem for Collaborative Filtering. Inf. Sci. Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho
2018	B	`conf`	Multi-label Feature Selection Techniques for Hierarchical Multi-label Protein Function Prediction. IJCNN Ricardo Cerri, Rafael Gomes Mantovani, Márcio P. Basgalupp, André C. P. L. F. de Carvalho
2018	—	`conf`	S^2FS : Single Score Feature Selection Applied to the Problem of Distinguishing Long Non-coding RNAs from Protein Coding Transcripts. BSB Bruno C. Kümmel, André C. P. L. F. de Carvalho, Marcelo M. Brigido, Célia Ghedini Ralha, Maria Emília M. T. Walter
2018	J	`jnl`	Special issue SOCO 2014: Recent advancements in soft computing and its application in industrial and environmental problems. Neurocomputing Pablo García Bringas, André C. P. L. F. de Carvalho, Ajith Abraham, Álvaro Herrero, Héctor Quintián, Emilio Corchado
2018	B	`conf`	Statistical versus Distance-Based Meta-Features for Clustering Algorithm recommendation Using Meta-Learning. IJCNN Bruno Almeida Pimentel, André C. P. L. F. de Carvalho
2018	J	`jnl`	The utiml Package: Multi-label Classification in R. R J. Adriano Rivolli, André C. P. L. F. de Carvalho
2018	J	`jnl`	Towards Reproducible Empirical Research in Meta-Learning. CoRR Adriano Rivolli, Luís Paulo F. Garcia, Carlos Soares, Joaquin Vanschoren, André C. P. L. F. de Carvalho
2018	—	`conf`	Unsupervised Domain Adaptation for Human Activity Recognition. IDEAL (1) Paulo Barbosa, Kemilly Dearo Garcia, João Mendes-Moreira, André C. P. L. F. de Carvalho
2018	J	`jnl`	cf2vec: Collaborative Filtering algorithm selection using graph distributed representations. CoRR Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho
2017	J	`jnl`	A smartphone application to measure the quality of pest control spraying machines via image analysis. CoRR Bruno Brandoli Machado, Gabriel Spadon, Mauro S. Arruda, Wesley Nunes Gonçalves, André C. P. L. F. de Carvalho, José F. Rodrigues Jr.
2017	J	`jnl`	Adaptive algorithms applied to accelerometer biometrics in a data stream context. Intell. Data Anal. Paulo Henrique Pisani, Ana Carolina Lorena, André C. P. L. F. de Carvalho
2017	J	`jnl`	An adaptive approach for UAV-based pesticide spraying in dynamic environments. Comput. Electron. Agric. Bruno S. Faiçal, Heitor Freitas, Pedro Henrique Gomes, Leandro Y. Mano, Gustavo Pessin, André C. P. L. F. de Carvalho, Bhaskar Krishnamachari, Jó Ueyama
2017	Misc	`conf`	Food Truck Recommendation Using Multi-label Classification. EPIA Adriano Rivolli, Larissa C. Parker, André C. P. L. F. de Carvalho
2017	J	`jnl`	Intelligent-guided adaptive search for the maximum covering location problem. Comput. Oper. Res. Vinícius R. Máximo, Mariá C. V. Nascimento, André C. P. L. F. de Carvalho
2017	A	`conf`	Metalearning for Context-aware Filtering: Selection of Tensor Factorization Algorithms. RecSys Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho
2017	B	`conf`	Recommending Collaborative Filtering Algorithms Using Subsampling Landmarkers. DS Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho
2017	J	`jnl`	Score normalization applied to adaptive biometric systems. Comput. Secur. Paulo Henrique Pisani, Norman Poh, André C. P. L. F. de Carvalho, Ana Carolina Lorena
2017	J	`jnl`	The NoiseFiltersR Package: Label Noise Preprocessing in R. R J. Pablo Morales-Álvarez, Julián Luengo, Luís Paulo F. Garcia, Ana Carolina Lorena, André C. P. L. F. de Carvalho, Francisco Herrera
2017	—	`conf`	Using a multi-objective artificial immune system approach for biodiversity conservation. ICNC-FSKD Shana Schlottfeldt, Maria Emília Telles Walter, André C. P. L. F. de Carvalho, Mariana P. C. Telles, José Alexandre Felizola Diniz-Filho
2016	—	`conf`	Automatic Selection of Learning Bias for Active Sampling. BRACIS Davi Pereira dos Santos, André C. P. L. F. de Carvalho
2016	—	`conf`	DualRadviz: Preserving Context between Classification Evaluation and Data Exploration with RadViz. BRACIS Igor Bueno Correa, André C. P. L. F. de Carvalho
2016	C	`conf`	Effects of Random Sampling on SVM Hyper-parameter Tuning. ISDA Tomás Horváth, Rafael Gomes Mantovani, André C. P. L. F. de Carvalho
2016	J	`jnl`	Enhanced template update: Application to keystroke dynamics. Comput. Secur. Paulo Henrique Pisani, Romain Giot, André C. P. L. F. de Carvalho, Ana Carolina Lorena
2016	Misc	`conf`	Fast adaptive stacking of ensembles. SAC Isvani Inocencio Frías Blanco, Alberto Verdecia-Cabrera, Agustín Alejandro Ortiz Díaz, André C. P. L. F. de Carvalho
2016	—	`conf`	Hyper-Parameter Tuning of a Decision Tree Induction Algorithm. BRACIS Rafael Gomes Mantovani, Tomás Horváth, Ricardo Cerri, Joaquin Vanschoren, André C. P. L. F. de Carvalho
2016	J	`jnl`	Meta-learning to select the best meta-heuristic for the Traveling Salesman Problem: A comparison of meta-features. Neurocomputing Jorge Y. Kanda, André C. P. L. F. de Carvalho, Eduardo R. Hruschka, Carlos Soares, Pavel Brazdil
2016	J	`jnl`	Mobile sensing and social computing. Int. J. Distributed Sens. Networks Javier Bajo, Andrew T. Campbell, Sigeru Omatu, André C. P. L. F. de Carvalho, Juan M. Corchado
2016	J	`jnl`	Noise detection in the meta-learning level. Neurocomputing Luís Paulo F. Garcia, André C. P. L. F. de Carvalho, Ana Carolina Lorena
2016	J	`jnl`	Novelty detection in data streams. Artif. Intell. Rev. Elaine R. Faria, Isabel J. C. R. Gonçalves, André C. P. L. F. de Carvalho, João Gama
2016	J	`jnl`	Online adaptive decision trees based on concentration inequalities. Knowl. Based Syst. Isvani Inocencio Frías Blanco, José del Campo-Ávila, Gonzalo Ramos-Jiménez, André C. P. L. F. de Carvalho, Agustín Alejandro Ortiz Díaz, Rafael Morales Bueno
2016	J	`jnl`	Recent advancements in hybrid artificial intelligence systems and its application to real-world problems. Neurocomputing Emilio Corchado, Ajith Abraham, André C. P. L. F. de Carvalho, Michal Wozniak, Sung-Bae Cho, Héctor Quintián
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
2016	J	`jnl`	SPECIAL ISSUE SOCO13-JAL. J. Appl. Log. Álvaro Herrero, Bruno Baruque, Fanny Klett, Ajith Abraham, Václav Snásel, André C. P. L. F. de Carvalho, Pablo García Bringas, Ivan Zelinka, Héctor Quintián, Juan Manuel Corchado, Emilio Corchado
2016	—	`conf`	Selecting Collaborative Filtering Algorithms Using Metalearning. ECML/PKDD (2) Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho
2016	—	`conf`	The Use of Autonomous UAVs to Improve Pesticide Application in Crop Fields. MDM (Workshops) Bruno S. Faiçal, Jo Ueyama, André C. P. L. F. de Carvalho
2015	J	`jnl`	A Projection Pursuit framework for supervised dimension reduction of high dimensional small sample datasets. Neurocomputing Soledad Espezua, Edwin Villanueva, Carlos Dias Maciel, André C. P. L. F. de Carvalho
2015	—	`conf`	Adapting Noise Filters for Ranking. BRACIS Ana Carolina Lorena, Luís Paulo Faina Garcia, André C. P. L. F. de Carvalho
2015	B	`conf`	Adaptive approaches for keystroke dynamics. IJCNN Paulo Henrique Pisani, Ana Carolina Lorena, André C. P. L. F. de Carvalho
2015	B	`conf`	An evolutionary sampling approach for classification with imbalanced data. IJCNN Everlandio R. Q. Fernandes, André C. P. L. F. de Carvalho, André L. V. Coelho
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`	Effect of label noise in the complexity of classification problems. Neurocomputing Luís Paulo F. Garcia, André C. P. L. F. de Carvalho, Ana Carolina Lorena
2015	B	`conf`	Effectiveness of Random Search in SVM hyper-parameter tuning. IJCNN Rafael Gomes Mantovani, André Luis Debiaso Rossi, Joaquin Vanschoren, Bernd Bischl, André C. P. L. F. de Carvalho
2015	—	`conf`	Ensemble of Adaptive Algorithms for Keystroke Dynamics. BRACIS Paulo Henrique Pisani, Ana Carolina Lorena, André C. P. L. F. de Carvalho
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
2015	—	`conf`	Meta-learning Recommendation of Default Hyper-parameter Values for SVMs in Classification Tasks. MetaSel@PKDD/ECML Rafael Gomes Mantovani, André L. D. Rossi, Joaquin Vanschoren, André C. P. L. F. de Carvalho
2015	—	`conf`	Selectively Inhibiting Learning Bias for Active Sampling. BRACIS Davi Pereira dos Santos, André C. P. L. F. de Carvalho
2015	J	`jnl`	Special issue HAIS 2012: Recent advancements in hybrid artificial intelligence systems and its application to real-world problems. Neurocomputing Héctor Quintián, Emilio Corchado, Ajith Abraham, André C. P. L. F. de Carvalho, Michal Wozniak, Václav Snásel, Sung-Bae Cho
2015	J	`jnl`	Special issue SOCO12. J. Appl. Log. Álvaro Herrero, Václav Snásel, Ajith Abraham, Ivan Zelinka, Bruno Baruque, Héctor Quintián, José Luís Calvo-Rolle, Javier Sedano, André C. P. L. F. de Carvalho, Emilio Corchado
2015	B	`conf`	To tune or not to tune: Recommending when to adjust SVM hyper-parameters via meta-learning. IJCNN Rafael Gomes Mantovani, André Luis Debiaso Rossi, Joaquin Vanschoren, Bernd Bischl, André C. P. L. F. de Carvalho
2015	—	`conf`	Transmission of wireless neural signals through a 0.18µm CMOS low-power amplifier. EMBC Mario Gazziro, C. F. R. Braga, D. A. Moreira, André C. P. L. F. de Carvalho, J. F. Rodrigues, J. S. Navarro, J. C. M. Ardila, Daniel Pasti Mioni, Murilo Pilon Pessatti, Paulo Augusto Dal Fabbro, C. Freewin, Stephen E. Saddow
2015	A	`conf`	Using Multi-Objective Artificial Immune Systems to Find Core Collections Based on Molecular Markers. GECCO Shana Schlottfeldt, Maria Emília M. T. Walter, Jon Timmis, André C. P. L. F. de Carvalho, Mariana P. C. Telles, José Alexandre Felizola Diniz-Filho
2015	J	`jnl`	Using the One-vs-One decomposition to improve the performance of class noise filters via an aggregation strategy in multi-class classification problems. Knowl. Based Syst. Luís Paulo F. Garcia, José A. Sáez, Julián Luengo, Ana Carolina Lorena, André C. P. L. F. de Carvalho, Francisco Herrera
2014	J	`jnl`	A hybrid meta-learning architecture for multi-objective optimization of SVM parameters. Neurocomputing Péricles B. C. Miranda, Ricardo B. C. Prudêncio, André C. P. L. F. de Carvalho, Carlos Soares
2014	C	`conf`	Exploiting Evolution on UAV Control Rules for Spraying Pesticides on Crop Fields. EANN Bruno S. Faiçal, Gustavo Pessin, Geraldo P. R. Filho, Gustavo Furquim, André C. P. L. F. de Carvalho, Jó Ueyama
2014	B	`conf`	Fine-Tuning of UAV Control Rules for Spraying Pesticides on Crop Fields. ICTAI Bruno S. Faiçal, Gustavo Pessin, Geraldo P. R. Filho, André C. P. L. F. de Carvalho, Gustavo Furquim, Jo Ueyama
2014	—	`ed.`	International Joint Conference SOCO'14-CISIS'14-ICEUTE'14 - Bilbao, Spain, June 25th-27th, 2014, Proceedings SOCO-CISIS-ICEUTE José Gaviria de la Puerta, Iván García-Ferreira, Pablo García Bringas, Fanny Klett, Ajith Abraham, André C. P. L. F. de Carvalho, Álvaro Herrero, Bruno Baruque, Héctor Quintián, Emilio Corchado
2014	—	`conf`	Multi-objective optimization applied to systematic conservation planning and spatial conservation priorities under climate change. GECCO (Companion) Shana Schlottfeldt, Jon Timmis, Maria Emília M. T. Walter, André C. P. L. F. de Carvalho, José Alexandre Felizola Diniz-Filho, Lorena M. Simon, Rafael D. Loyola, Mariana P. C. Telles
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`	Cluster ensemble selection based on relative validity indexes. Data Min. Knowl. Discov. Murilo Coelho Naldi, André C. P. L. F. de Carvalho, Ricardo J. G. B. Campello
2013	—	`conf`	Evaluation Methodology for Multiclass Novelty Detection Algorithms. BRACIS Elaine R. Faria, Isabel J. C. R. Gonçalves, João Gama, André C. P. L. F. de Carvalho
2013	Misc	`ed.`	Hybrid Artificial Intelligent Systems - 8th International Conference, HAIS 2013, Salamanca, Spain, September 11-13, 2013. Proceedings HAIS Jeng-Shyang Pan, Marios M. Polycarpou, Michal Wozniak, André C. P. L. F. de Carvalho, Héctor Quintián-Pardo, Emilio Corchado
2013	—	`conf`	Neural Networks for Hierarchical Classification of G-Protein Coupled Receptors. BRACIS Ricardo Cerri, Rodrigo Coelho Barros, André C. P. L. F. de Carvalho
2013	Misc	`conf`	Noisy Data Set Identification. HAIS Luís Paulo F. Garcia, André C. P. L. F. de Carvalho, Ana Carolina Lorena
2013	Misc	`conf`	Novelty detection algorithm for data streams multi-class problems. SAC Elaine R. Faria, João Gama, André C. P. L. F. 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	—	`conf`	A Density-Based Clustering Approach for Behavior Change Detection in Data Streams. SBRN Rosane Maria Maffei Vallim, Jose Augusto Andrade Filho, André C. P. L. F. de Carvalho, João Gama
2012	—	`conf`	A Study on Class Noise Detection and Elimination. SBRN Luís Paulo F. Garcia, Ana Carolina Lorena, André C. P. L. F. de Carvalho
2012	—	`conf`	Combining Meta-Learning with Multi-objective Particle Swarm Algorithms for SVM Parameter Selection: An Experimental Analysis. SBRN Péricles B. C. Miranda, Ricardo B. C. Prudêncio, André C. P. L. F. de Carvalho, Carlos Soares
2012	J	`jnl`	Combining meta-learning and search techniques to select parameters for support vector machines. Neurocomputing Taciana A. F. Gomes, Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, André L. D. Rossi, André C. P. L. F. de Carvalho
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	—	`conf`	Meta-Learning for Periodic Algorithm Selection in Time-Changing Data. SBRN André Luis Debiaso Rossi, André C. P. L. F. de Carvalho, Carlos Soares
2011	J	`jnl`	A graph clustering algorithm based on a clustering coefficient for weighted graphs. J. Braz. Comput. Soc. Mariá Cristina Vasconcelos Nascimento, André C. P. L. F. de Carvalho
2011	J	`jnl`	A hybrid approach to learn with imbalanced classes using evolutionary algorithms. Log. J. IGPL Claudia Regina Milaré, Gustavo E. A. P. A. Batista, André C. P. L. F. de Carvalho
2011	J	`jnl`	Efficiency issues of evolutionary k-means. Appl. Soft Comput. Murilo Coelho Naldi, Ricardo J. G. B. Campello, Eduardo R. Hruschka, André C. P. L. F. de Carvalho
2011	B	`conf`	Quantifying Features Using False Nearest Neighbors: An Unsupervised Approach. ICTAI Jose Augusto Andrade Filho, André C. P. L. F. de Carvalho, Rodrigo Fernandes de Mello, Salem Alelyani, Huan Liu
2010	J	`jnl`	A Study of the Influence of Rule Measures in Classifiers Induced by Evolutionary Algorithms. IEEE Intell. Informatics Bull. Claudia Regina Milaré, Gustavo E. A. P. A. Batista, André C. P. L. F. de Carvalho
2010	J	`jnl`	Modelo Estatístico para a Determinação do Número Ótimo de Iterações do Filtro de Difusão Anisotrópica Aplicado à Redução de Ruído de Imagens de Ressonância Magnética do Cérebro. RITA Yuri Saito, Ricardo José Ferrari, Jefferson Teixeira, Paulo M. Azevedo-Marques, André C. P. L. F. de Carvalho, Antonio Carlos dos Santos
2010	—	`ed.`	Second World Congress on Nature & Biologically Inspired Computing, NaBIC 2010, 15-17 December 2010, Kitakyushu, Japan NaBIC Hideyuki Takagi, Ajith Abraham, Mario Köppen, Kaori Yoshida, André C. P. L. F. de Carvalho
2009	J	`jnl`	Meta-learning approach to gene expression data classification. Int. J. Intell. Comput. Cybern. Bruno Feres de Souza, Carlos Soares, André C. P. L. F. de Carvalho
2009	A	`conf`	The multi-label OCS with a genetic algorithm for rule discovery: implementation and first results. GECCO Rosane Maria Maffei Vallim, Thyago S. P. C. Duque, David E. Goldberg, André C. P. L. F. de Carvalho
2009	J	`jnl`	Uma Revisão Sobre Combinação de Agrupamentos. RITA Murilo Coelho Naldi, Katti Faceli, André C. P. L. F. de Carvalho
2009	Misc	`conf`	Use of Classification Algorithms in Noise Detection and Elimination. HAIS André L. B. Miranda, Luís Paulo F. Garcia, André C. P. L. F. de Carvalho, Ana Carolina Lorena
2008	—	`conf`	A new approach for multi-label classification based on default hierarchies and organizational learning. GECCO (Companion) Rosane Maria Maffei Vallim, David E. Goldberg, Xavier Llorà, Thyago S. P. C. Duque, André C. P. L. F. de Carvalho
2008	C	`conf`	Bio-Inspired Parameter Tunning of MLP Networks for Gene Expression Analysis. HIS André L. D. Rossi, André C. P. L. F. de Carvalho, Carlos Soares
2008	—	`conf`	Bioinspired Parameter Tuning of MLP Networks for Gene Expression Analysis: Quality of Fitness Estimates vs. Number of Solutions Analysed. ICONIP (2) André L. D. Rossi, Carlos Soares, André C. P. L. F. de Carvalho
2008	J	`jnl`	Estratégias para a Combinação de Classificadores Binários em Soluções Multiclasses. RITA Ana Carolina Lorena, André C. P. L. F. de Carvalho
2008	—	`conf`	Top-Down Hierarchical Ensembles of Classifiers for Predicting G-Protein-Coupled-Receptor Functions. BSB Eduardo P. Costa, Ana Carolina Lorena, André C. P. L. F. de Carvalho, Alex Alves Freitas
2007	J	`jnl`	Evolutionary design of multiclass support vector machines. J. Intell. Fuzzy Syst. Ana Carolina Lorena, André C. P. L. F. de Carvalho
2006	—	`conf`	Hybrid Genetic Algorithm Applied to the Determination of the Optimal Operation of Hydrothermal Systems. SBRN Patricia Texeira Leite, Adriano A. F. M. Carneiro, André C. P. L. F. de Carvalho
2003	B	`conf`	A dynamical model for multi-scale pixel clustering. IJCNN Liang Zhao, Antonio P. G. Damiance, Rogerio A. Furukawa, André C. P. L. F. de Carvalho
1999	B	`conf`	Applying neural networks to determine vibration parameters in a turbine. IJCNN Chandler W. Caulkins, Robson B. T. Oliveira, André C. P. L. F. de Carvalho, Solange O. Rezende, Maria Carolina Monard
1999	B	`conf`	Pattern recognition using constructive algorithms. IJCNN Humberto Costa de Sousa, André C. P. L. F. de Carvalho
1999	—	`conf`	Signal processing and statistical procedures to identify laryngeal pathologies. ICECS Marcelo de Oliveira Rosa, Jose Carlos Pereira, Marcos Grellet, André C. P. L. F. de Carvalho