A model of formal neural networks for unsupervised learning of binary temporal sequences. - Bruno Gas; René Natowicz (ICPR (2), 1992)

Self-Organizing Feature Maps for Image Segmentation. - René Natowicz; Robert Sokol (IWANN, 1993)

Real Time Segmentation of Image Sequences by Self-Organizing Feature Map: Method and Reconfigurable Architecture. - René Natowicz; Marcelo Alves de Barros; Mohamed Akil; Fabrizio Bosio (Applications in Parallel and Distributed Computing, 1994)

Unsupervised Learning of Temporal Sequences by Neural Networks. - Bruno Gas; René Natowicz (ICANNGA, 1995)

Kohonen's Maps for Contour and "Region-Like" Segmentation of Gray Level and Color Images. - René Natowicz; Lothar Bergen; Bruno Gas (ICANNGA, 1995)

Kohonen's Self Organizing Maps for Contour Segmentation of Gray Level and Color Images. - René Natowicz (IWANN, 1995)

Identification and modeling of calcium dynamics in cardiac myocytes. - Yskandar Hamam; Françoise Pecker; François Rocaries; Hubert Lorino; Catherine Pavoine; René Natowicz (Simul. Pract. Theory, 2000)

Bayesian Classifiers for Predicting the Outcome of Breast Cancer Preoperative Chemotherapy. - Antônio de Pádua Braga; Euler G. Horta; René Natowicz; Roman Rouzier; Roberto Incitti; Thiago S. Rodrigues; Marcelo Azevedo Costa; Carmen D. M. Pataro; Arben Çela (ANNPR, 2008)

A new method of DNA probes selection and its use with multi-objective neural network for predicting the outcome of breast cancer preoperative chemotherapy. - René Natowicz; Antônio de Pádua Braga; Roberto Incitti; Euler G. Horta; Roman Rouzier; Thiago S. Rodrigues; Marcelo Azevedo Costa (ESANN, 2008)

Downsizing Multigenic Predictors of the Response to Preoperative Chemotherapy in Breast Cancer. - René Natowicz; Roberto Incitti; Roman Rouzier; Arben Çela; Antônio de Pádua Braga; Euler G. Horta; Thiago S. Rodrigues; Marcelo Azevedo Costa (KES (2), 2008)

Prediction of the outcome of preoperative chemotherapy in breast cancer using DNA probes that provide information on both complete and incomplete responses. - René Natowicz; Roberto Incitti; Euler Guimarães Horta; Benoît Charles; Philippe Guinot; Kai Yan; Charles Coutant; Fabrice André; Lajos Pusztai; Roman Rouzier (BMC Bioinform., 2008)

New Multi-Objective Algorithms for Neural Network Training Applied to Genomic Classification Data. - Marcelo Azevedo Costa; Thiago S. Rodrigues; Euler Guimarães Horta; Antônio de Pádua Braga; Carmen D. M. Pataro; René Natowicz; Roberto Incitti; Roman Rouzier; Arben Çela (Foundations of Computational Intelligence (1), 2009)

Real time energy management algorithm for hybrid electric vehicle. - Arben Çela; A. Hrazdira; Abdellatif Reama; Rédha Hamouche; Silviu-Iulian Niculescu; Hugues Mounier; René Natowicz; Rémy Kocik (ITSC, 2011)

Semi-supervised model applied to the prediction of the response to preoperative chemotherapy for breast cancer. - Frederico Coelho; Antônio de Pádua Braga; René Natowicz; Roman Rouzier (Soft Comput., 2011)

GA-KDE-Bayes: an evolutionary wrapper method based on non-parametric density estimation applied to bioinformatics problems. - Maria Fernanda B. Wanderley; Vincent Gardeux; René Natowicz; Antônio de Pádua Braga (ESANN, 2013)

Energy optimal real-time navigation system: Application to a hybrid electrical vehicle. - Tomás Jurík; Arben Çela; Rédha Hamouche; Abdellatif Reama; René Natowicz; Silviu-Iulian Niculescu; Ch. Villedieu; D. Pachetau (ITSC, 2013)

Energy Optimal Real-Time Navigation System. - Arben Çela; Tomás Jurík; Rédha Hamouche; René Natowicz; Abdellatif Reama; Silviu-Iulian Niculescu; Jerome Julien (IEEE Intell. Transp. Syst. Mag., 2014)

Anomaly Prediction: A Novel Approach with Explicit Delay and Horizon. - Jiang You; Arben Çela; René Natowicz; Jacob Ouanounou; Patrick Siarry (ICCP, 2024)

Kernel-U-Net: Multivariate Time Series Forecasting using Custom Kernels. - Jiang You; Arben Çela; René Natowicz; Jacob Ouanounou; Patrick Siarry (INISTA, 2024)

Kernel-U-Net: Hierarchical and Symmetrical Framework for Multivariate Time Series Forecasting. - Jiang You; René Natowicz; Arben Çela; Jacob Ouanounou; Patrick Siarry (CoRR, 2024)

Robust Time Series Forecasting with Non-Heavy-Tailed Gaussian Loss-Weighted Sampler. - Jiang You; Arben Çela; René Natowicz; Jacob Ouanounou; Patrick Siarry (CoRR, 2024)

Learning K-U-Net with constant complexity: An Application to time series forecasting. - Jiang You; Arben Çela; René Natowicz; Jacob Ouanounou; Patrick Siarry (CoRR, 2024)