Spectral methods for graph clustering – A survey von Nascimento, Mariá C.V., de Carvalho, André C.P.L.F.

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Predicting glass transition temperatures using neural networks von Cassar, Daniel R., de Carvalho, André C.P.L.F., Zanotto, Edgar D.

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Noise detection in the meta-learning level von Garcia, Luís P.F., Carvalho, André C.P.L.F. de, Lorena, Ana C.

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An adaptive approach for UAV-based pesticide spraying in dynamic environments von Faiçal, Bruno S., Freitas, Heitor, Gomes, Pedro H., Mano, Leandro Y., Pessin, Gustavo, de Carvalho, André C.P.L.F., Krishnamachari, Bhaskar, Ueyama, Jó

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Effect of label noise in the complexity of classification problems von Garcia, Luís P.F., de Carvalho, André C.P.L.F., Lorena, Ana C.

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An empirical analysis of binary transformation strategies and base algorithms for multi-label learning von Rivolli, Adriano, Read, Jesse, Soares, Carlos, Pfahringer, Bernhard, de Carvalho, André C. P. L. F.

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Information Theory for Biological Sequence Classification: A Novel Feature Extraction Technique Based on Tsallis Entropy von Bonidia, Robson P, Avila Santos, Anderson P, de Almeida, Breno L S, Stadler, Peter F, Nunes da Rocha, Ulisses, Sanches, Danilo S, de Carvalho, André C P L F

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An intelligent and generic approach for detecting human emotions: a case study with facial expressions von Mano, Leandro Y., Faiçal, Bruno S., Gonçalves, Vinícius P., Pessin, Gustavo, Gomes, Pedro H., de Carvalho, André C. P. L. F., Ueyama, Jó

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BioPrediction-RPI: Democratizing the prediction of interaction between non-coding RNA and protein with end-to-end machine learning von Florentino, Bruno Rafael, Parmezan Bonidia, Robson, Sanches, Natan Henrique, da Rocha, Ulisses N., de Carvalho, André C.P.L.F.

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BioDeepfuse: a hybrid deep learning approach with integrated feature extraction techniques for enhanced non-coding RNA classification von Avila Santos, Anderson P, de Almeida, Breno L S, Bonidia, Robson P, Stadler, Peter F, Stefanic, Polonca, Mandic-Mulec, Ines, Rocha, Ulisses, Sanches, Danilo S, de Carvalho, André C P L F

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Corrigendum to “BioPrediction-RPI: Democratizing the prediction of interaction between non-coding RNA and protein with end-to-end machine learning” [Comput Struct Biotechnol J, vol... von Florentino, Bruno Rafael, Bonidia, Robson Parmezan, Sanches, Natan Henrique, da Rocha, Ulisses N., de Carvalho, André C.P.L.F.

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Reconstructing commuters network using machine learning and urban indicators von Spadon, Gabriel, Carvalho, Andre C. P. L. F. de, Rodrigues-Jr, Jose F., Alves, Luiz G. A.

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Building binary-tree-based multiclass classifiers using separability measures von Lorena, Ana Carolina, de Carvalho, André C.P.L.F.

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Wine classification by taste sensors made from ultra-thin films and using neural networks von Riul, Antonio, de Sousa, Humberto C., Malmegrim, Roger R., dos Santos, David S., Carvalho, André C.P.L.F., Fonseca, Fernando J., Oliveira, Osvaldo N., Mattoso, Luiz H.C.

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Investigation of a new GRASP-based clustering algorithm applied to biological data von Nascimento, Mariá C.V., Toledo, Franklina M.B., de Carvalho, André C.P.L.F.

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Metalearning and Recommender Systems: A literature review and empirical study on the algorithm selection problem for Collaborative Filtering von Cunha, Tiago, Soares, Carlos, de Carvalho, André C.P.L.F.

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A meta-learning recommender system for hyperparameter tuning: Predicting when tuning improves SVM classifiers von Mantovani, Rafael G., Rossi, André L.D., Alcobaça, Edesio, Vanschoren, Joaquin, de Carvalho, André C.P.L.F.

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Meta-features for meta-learning von Rivolli, Adriano, Garcia, Luís P.F., Soares, Carlos, Vanschoren, Joaquin, de Carvalho, André C.P.L.F.

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A new data characterization for selecting clustering algorithms using meta-learning von Pimentel, Bruno Almeida, de Carvalho, André C.P.L.F.

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Data stream clustering: A survey von Silva, Jonathan A., Faria, Elaine R., Barros, Rodrigo C., Hruschka, Eduardo R., Carvalho, André C. P. L. F. de, Gama, João

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