layout: page title: Publications permalink: /publications —
Journals
[9] L. F. S. Coletta, M. Ponti, E. R. Hruschka, A. Acharya, and J. Ghosh, “Combining clustering and active learning for the detection and learning of new image classes,” Neurocomputing, vol. 358, pp. 150–165, 2019.
[8] M. Matulovic, F. J. O. Morais, A. V. Souza, C. A. Amorim, and L. F. S. Coletta, “Aflatoxin detection on direction of the 4.0 age at 3.0 costs,” International Journal for Innovation Education and Research, vol. 7, pp. 338–346, 2019.
[7] A. B. Neto, C. S. B. Bonini, A. R. Reis, J. C. Piazentin, L. F. S. Coletta, F. F. Putti, R. Heinrichs, and A. Moreira, “Automatic recovery estimation of degraded soils by artificial neural networks in function of chemical and physical attributes in brazilian savannah soil,” Communications in Soil Science and Plant Analysis, vol. 50, no. 14, pp. 1785–1798, 2019.
[6] A. B. Neto, C. dos Santos Batista Bonini, B. S. Bisi, L. F. S. Coletta, and A. R. dos Reis, “Artificial neural network for classification and analysis of degraded soils,” IEEE Latin America Transactions, vol. 15, no. 3, pp. 503–509, 2017.
[5] N. F. F. D. Silva, L. F. S. Coletta, and E. R. Hruschka, “A survey and comparative study of tweet sentiment analysis via semi-supervised learning,” ACM Comput. Surv., vol. 49, no. 1, pp. 15:1–15:26, Jun. 2016.
[4] N. F. F. da Silva, L. F. S. Coletta, E. R. Hruschka, and E. R. H. Jr., “Using unsupervised information to improve semi-supervised tweet sentiment classification,” Information Sciences, vol. 355–356, pp. 348–365, 2016.
[3] L. F. S. Coletta, E. R. Hruschka, A. Acharya, and J. Ghosh, “Using metaheuristics to optimize the combination of classifier and cluster ensembles,” Integrated Computer-Aided Engineering, vol. 22, no. 3, pp. 229–242, 2015.
[2] L. F. S. Coletta, E. R. Hruschka, A. Acharya, and J. Ghosh, “A differential evolution algorithm to optimise the combination of classifier and cluster ensembles,” International Journal of Bio-Inspired Computation, vol. 7, no. 2, pp. 111–124, 2015.
[1] L. F. S. Coletta, L. Vendramin, E. R. Hruschka, R. J. G. B. Campello, and W. Pedrycz, “Collaborative fuzzy clustering algorithms: Some refinements and design guidelines,” IEEE Transactions on Fuzzy Systems, vol. 20, no. 3, pp. 444–462, 2012.
Conferences
[7] G. M. Harakuchi, J. V. C. Calisso, and L. F. S. Coletta, “Avaliação de descritores de imagem no aprendizado de máquina para a detecção de falhas de plantio de feijão-comum,” in XIX simpósio brasileiro de sensoriamento remoto (SBSR 2019), 2019, pp. 3342–3345.
[6] P. H. S. Pereira, G. V. de Oliveira, R. S. S. Yokoo, M. Matulovic, and L. F. S. Coletta, “Análise de descritores de imagens na classificação de folhas de soja visando o diagnóstico de doenças,” in X simpósio nacional de tecnologia em agronegócio (SINTAGRO 2018), 2018, pp. 89–100.
[5] F. C. L. Almeida, L. F. S. Coletta, M. Campos, A. Gonçalves, and E. M. F. Silva, “Tribology and vibration analysis enhanced by a machine learning technique: A short review,” in Probabilistic dynamics analysis and lubricant analysis to improve reliability of gearboxes, 2017, p. 3.
[4] L. F. S. Coletta, N. F. F. da Silva, E. R. Hruschka, and E. R. Hruschka, “Combining classification and clustering for tweet sentiment analysis,” in Intelligent systems (BRACIS), 2014 brazilian conference on, 2014, pp. 210–215.
[3] L. F. S. Coletta, E. R. Hruschka, A. Acharya, and J. Ghosh, “Towards the use of metaheuristics for optimizing the combination of classifier and cluster ensembles,” in Computational intelligence and 11th brazilian congress on computational intelligence (BRICS-CCI CBIC), 2013 BRICS congress on, 2013, pp. 483–488.
[2] L. Vendramin, R. J. G. B. Campello, L. F. S. Coletta, and E. R. Hruschka, “Distributed fuzzy clustering with automatic detection of the number of clusters,” in International symposium on distributed computing and artificial intelligence (DCAI’11), vol. 91, Springer Berlin/Heidelberg, 2011, pp. 133–140.
[1] L. F. S. Coletta, E. Hruschka, T. Covoes, and R. Campello, “Fuzzy clustering-based filter,” in Information processing and management of uncertainty in knowledge-based systems. Theory and methods, vol. 80, Springer Berlin/Heidelberg, 2010, pp. 406–415.
Book Chapters
[1] B. N. A., C. S. B. Bonini, L. F. S. Coletta, N. R. Costa, and A. R. Reis, “Tecnologias em agricultura sustentável,” P. F. F., da Silva A. L. C., and G. F. L. R. A., Eds. Tupã/SP: https://www.amigosdanatureza.org.br/biblioteca/livros/item/cod/153; ANAP, 2017.
Others
[3] L. F. S. Coletta, “Abordagens para combinar classificadores e agrupadores em problemas de classificação,” PhD thesis, Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo, São Carlos, 2015.
[2] L. F. S. Coletta, “Agrupamento de dados fuzzy colaborativo,” Master’s thesis, Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo, São Carlos, 2011.
[1] L. F. S. Coletta, “Análise de estratégias de seleção de atributos baseada em agrupamento de dados fuzzy,” Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo, São Carlos, Sep. 2009.