A Novel Machine Learning 13-Gene Signature: Improving Risk Analysis and Survival Prediction for Clear Cell Renal Cell Carcinoma Patients von Terrematte, Patrick, Andrade, Dhiego Souto, Justino, Josivan, Stransky, Beatriz, de Araújo, Daniel Sabino A, Dória Neto, Adrião D

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Parallel t-SNE Applied to Data Visualization in Smart Cities von Da Silva Lopes, Maximiliano Araujo, Doria Neto, Adriao D., De Medeiros Martins, Allan

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Fuzzy method for pre-diagnosis of breast cancer from the Fine Needle Aspirate analysis von Sizilio, Gláucia R M A, Leite, Cicília R M, Guerreiro, Ana M G, Neto, Adrião D Dória

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On the parallel efficiency and scalability of the correntropy coefficient for image analysis von Rêgo Fontes, Aluisio I, Xavier-de-Souza, Samuel, Dória Neto, Adrião D, de Queiroz Silveira, Luiz Felipe

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An Analysis of Information Dynamic Behavior Using Autoregressive Models von Oliveira, Amanda, Dória Neto, Adrião, Martins, Allan

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Karstified zone interpretation using deep learning algorithms: Convolutional neural networks applications and model interpretability with explainable AI von Jacinto, Marcos V.G., Doria Neto, Adrião D., de Castro, David L., Bezerra, Francisco H.R.

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Atanassov’s intuitionistic fuzzy probability and Markov chains von da Costa, Claudilene G., Bedregal, Benjamín, Dória Neto, Adrião D.

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Classification of multispectral images in coral environments using a hybrid of classifier ensembles von Henriques, Antônio P.M., Dória Neto, Adrião D., Amaral, Ricardo F.

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RSGALS-SVM: Random Subspace Method Applied to a LS-SVM Ensemble Optimized by Genetic Algorithm von Padilha, Carlos, Neto, Adrião D. Dória, Melo, Jorge D.

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Overhead-Controlled Routing in WSNs with Reinforcement Learning von Campos, Leonardo R. S., Oliveira, Rodrigo D., Melo, Jorge D., Neto, Adrião D. Dória

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Implementation of a modular neural network in a multiple processor system on FPGA to classify electric disturbance von Lopes, D.C., Magalhaes, R.M., Melo, J.D., Neto, A.D.D.

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Atanassovas intuitionistic fuzzy probability and Markov chains von da Costa, Claudilene G, Bedregal, Benjamin, Doria Neto, Adriao D

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An introduction interval kernel-Based methods applied on Support Vector Machines von Takahashi, A., Doria Neto, A. D., Bedregal, B. R. C.

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Intuitionistic Fuzzy Probability von Da Costa, Claudilene Gomes, Bedregal, Benjamin Callejas, Neto, Adrião Duarte Doria

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Influence of Signal Pre-Processing in the Efficiency of Algorithms Based on Neural Networks for Disturbance Classification von de Medeiros, M.F., Santos, C.K.S., de Oliveira, J.T., Pires, P.Sda.M., de Melo, J.D., Neto, A.D.D., Leitao, J.J.A.L.

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Relating De Morgan triples with Atanassov’s intuitionistic De Morgan triples via automorphisms von da Costa, Claudilene Gomes, Bedregal, Benjamín Callejas, Dória Neto, Adrião Duarte

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An Adaptive Learning Approach for 3-D Surface Reconstruction From Point Clouds von de Medeiros Brito Junior, A., Doria Neto, A.D., Dantas de Melo, J., Garcia Goncalves, L.M.

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Hierarchical Reinforcement Learning and Parallel Computing Applied to the k-server Problem von Leandro Costa, Mademerson, Araujo Padilha, Carlos Alberto, Dantas Melo, Jorge, Duarte Doria Neto, Adriao

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Definition of an Architecture to Configure Artificial Neural Networks Topologies Using Partial Reconfiguraton in FPGA von Alberto de Albuquerque Silva, Carlos, Duarte Doria Neto, Adriao, Alberto Nicolau Oliveira, Jose, Dantas Melo, Jorge, Simonetti Barbalho, David, Medeiros Avelino, Alvaro

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Building of constant life diagrams of fatigue using artificial neural networks von SILVERIO FREIRE, Raimundo Carlos, DORIA NETO, Adriao Duarte, FREIRE DE AQUINO, Eve Maria

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