René Natowicz

23 papers B 3C 1Misc 2Journal 8Unranked 8

Year	Rank	Type	Title / Venue / Authors
2024	B	`conf`	Anomaly Prediction: A Novel Approach with Explicit Delay and Horizon. ICCP Jiang You, Arben Çela, René Natowicz, Jacob Ouanounou, Patrick Siarry
2024	J	`jnl`	Anomaly Prediction: A Novel Approach with Explicit Delay and Horizon. CoRR Jiang You, Arben Çela, René Natowicz, Jacob Ouanounou, Patrick Siarry
2024	J	`jnl`	Kernel-U-Net: Hierarchical and Symmetrical Framework for Multivariate Time Series Forecasting. CoRR Jiang You, René Natowicz, Arben Çela, Jacob Ouanounou, Patrick Siarry
2024	C	`conf`	Kernel-U-Net: Multivariate Time Series Forecasting using Custom Kernels. INISTA Jiang You, Arben Çela, René Natowicz, Jacob Ouanounou, Patrick Siarry
2024	J	`jnl`	Learning K-U-Net with constant complexity: An Application to time series forecasting. CoRR Jiang You, Arben Çela, René Natowicz, Jacob Ouanounou, Patrick Siarry
2024	J	`jnl`	Robust Time Series Forecasting with Non-Heavy-Tailed Gaussian Loss-Weighted Sampler. CoRR Jiang You, Arben Çela, René Natowicz, Jacob Ouanounou, Patrick Siarry
2014	J	`jnl`	Energy Optimal Real-Time Navigation System. IEEE Intell. Transp. Syst. Mag. Arben Çela, Tomás Jurík, Rédha Hamouche, René Natowicz, Abdellatif Reama, Silviu-Iulian Niculescu, Jerome Julien
2013	—	`conf`	Energy optimal real-time navigation system: Application to a hybrid electrical vehicle. ITSC Tomás Jurík, Arben Çela, Rédha Hamouche, Abdellatif Reama, René Natowicz, Silviu-Iulian Niculescu, Ch. Villedieu, D. Pachetau
2013	B	`conf`	GA-KDE-Bayes: an evolutionary wrapper method based on non-parametric density estimation applied to bioinformatics problems. ESANN Maria Fernanda B. Wanderley, Vincent Gardeux, René Natowicz, Antônio de Pádua Braga
2011	—	`conf`	Real time energy management algorithm for hybrid electric vehicle. ITSC Arben Çela, A. Hrazdira, Abdellatif Reama, Rédha Hamouche, Silviu-Iulian Niculescu, Hugues Mounier, René Natowicz, Rémy Kocik
2011	J	`jnl`	Semi-supervised model applied to the prediction of the response to preoperative chemotherapy for breast cancer. Soft Comput. Frederico Coelho, Antônio de Pádua Braga, René Natowicz, Roman Rouzier
2009	—	`ch.`	New Multi-Objective Algorithms for Neural Network Training Applied to Genomic Classification Data. Foundations of Computational Intelligence (1) 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
2008	B	`conf`	A new method of DNA probes selection and its use with multi-objective neural network for predicting the outcome of breast cancer preoperative chemotherapy. ESANN René Natowicz, Antônio de Pádua Braga, Roberto Incitti, Euler G. Horta, Roman Rouzier, Thiago S. Rodrigues, Marcelo Azevedo Costa
2008	—	`conf`	Bayesian Classifiers for Predicting the Outcome of Breast Cancer Preoperative Chemotherapy. ANNPR 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
2008	—	`conf`	Downsizing Multigenic Predictors of the Response to Preoperative Chemotherapy in Breast Cancer. KES (2) René Natowicz, Roberto Incitti, Roman Rouzier, Arben Çela, Antônio de Pádua Braga, Euler G. Horta, Thiago S. Rodrigues, Marcelo Azevedo Costa
2008	J	`jnl`	Prediction of the outcome of preoperative chemotherapy in breast cancer using DNA probes that provide information on both complete and incomplete responses. BMC Bioinform. René Natowicz, Roberto Incitti, Euler Guimarães Horta, Benoît Charles, Philippe Guinot, Kai Yan, Charles Coutant, Fabrice André, Lajos Pusztai, Roman Rouzier
2000	J	`jnl`	Identification and modeling of calcium dynamics in cardiac myocytes. Simul. Pract. Theory Yskandar Hamam, Françoise Pecker, François Rocaries, Hubert Lorino, Catherine Pavoine, René Natowicz
1995	—	`conf`	Kohonen's Maps for Contour and "Region-Like" Segmentation of Gray Level and Color Images. ICANNGA René Natowicz, Lothar Bergen, Bruno Gas
1995	Misc	`conf`	Kohonen's Self Organizing Maps for Contour Segmentation of Gray Level and Color Images. IWANN René Natowicz
1995	—	`conf`	Unsupervised Learning of Temporal Sequences by Neural Networks. ICANNGA Bruno Gas, René Natowicz
1994	—	`conf`	Real Time Segmentation of Image Sequences by Self-Organizing Feature Map: Method and Reconfigurable Architecture. Applications in Parallel and Distributed Computing René Natowicz, Marcelo Alves de Barros, Mohamed Akil, Fabrizio Bosio
1993	Misc	`conf`	Self-Organizing Feature Maps for Image Segmentation. IWANN René Natowicz, Robert Sokol
1992	—	`conf`	A model of formal neural networks for unsupervised learning of binary temporal sequences. ICPR (2) Bruno Gas, René Natowicz