Energy Optimal Real-Time Navigation System von Jurik, Tomas, Cela, Arben, Hamouche, Redha, Natowicz, René, Reama, Abdellatif, Niculescu, Silviu-Iulian, Julien, Jérôme

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Prediction of the outcome of preoperative chemotherapy in breast cancer using DNA probes that provide information on both complete and incomplete responses von Natowicz, René, Incitti, Roberto, Horta, Euler Guimarães, Charles, Benoît, Guinot, Philippe, Yan, Kai, Coutant, Charles, Andre, Fabrice, Pusztai, Lajos, Rouzier, Roman

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Statistical measures of transcriptional diversity capture genomic heterogeneity of cancer von Jiang, Tingting, Shi, Weiwei, Natowicz, René, Ononye, Sophia N, Wali, Vikram B, Kluger, Yuval, Pusztai, Lajos, Hatzis, Christos

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Abstract 1899: Metabolic vulnerability of breast cancer based on shifts in the expression of metabolic enzyme isoforms von Shi, Weiwei, Gong, Aihua, Jiang, Tingting, Natowicz, René, Pusztai, Lajos

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Sequential selection of variables using short permutation procedures and multiple adjustments: An application to genomic data von Azevedo Costa, Marcelo, de Souza Rodrigues, Thiago, da Costa, André Gabriel FC, Natowicz, René, Pádua Braga, Antônio

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Direct comparison of logistic regression and recursive partitioning to predict chemotherapy response of breast cancer based on clinical pathological variables von Rouzier, Roman, Coutant, Charles, Lesieur, Bénédicte, Mazouni, Chafika, Incitti, Roberto, Natowicz, René, Pusztai, Lajos

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Computing Molecular Signatures as Optima of a Bi-Objective Function: Method and Application to Prediction in Oncogenomics von Gardeux, Vincent, Chelouah, Rachid, Wanderley, Maria F. Barbosa, Siarry, Patrick, Braga, Antônio P., Reyal, Fabien, Rouzier, Roman, Pusztai, Lajos, Natowicz, René

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Semi-supervised model applied to the prediction of the response to preoperative chemotherapy for breast cancer von Coelho, Frederico, Braga, Antônio de Pádua, Natowicz, René, Rouzier, Roman

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Sequential selection of variables using short permutation procedures and multiple adjustments: An application to genomic data von Azevedo Costa, Marcelo, de Souza Rodrigues, Thiago, da Costa, André Gabriel Fc, Natowicz, René, Pádua Braga, Antônio

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Adult rat vigilance states discrimination by artificial neural networks using a single EEG channel von Robert, Claude, Karasinski, Patrick, Natowicz, René, Limoge, Aymé

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Learning K-U-Net with constant complexity: An Application to time series forecasting von You, Jiang, Cela, Arben, Natowicz, René, Ouanounou, Jacob, Siarry, Patrick

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Anomaly Prediction: A Novel Approach with Explicit Delay and Horizon von You, Jiang, Cela, Arben, Natowicz, René, Ouanounou, Jacob, Siarry, Patrick

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Robust Time Series Forecasting with Non-Heavy-Tailed Gaussian Loss-Weighted Sampler von You, Jiang, Cela, Arben, Natowicz, René, Ouanounou, Jacob, Siarry, Patrick

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Kernel-U-Net: Multivariate Time Series Forecasting using Custom Kernels von You, Jiang, Cela, Arben, Natowicz, René, Ouanounou, Jacob, Siarry, Patrick

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Non-parametric kernel density estimation for the prediction of neoadjuvant chemotherapy outcomes von Wanderley, M F B, Braga, Antônio P, Mendes, E M A M, Natowicz, René, Rouzier, R

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Abstract 1899: Metabolic vulnerability of breast cancer based on shifts in the expression of metabolic enzyme isoforms von Shi, Weiwei, Gong, Aihua, Jiang, Tingting, Natowicz, Rene, Pusztai, Lajos

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Computing Molecular Signatures as Optima of a Bi-Objective Function: Method and Application to Prediction in Oncogenomics von Vincent Gardeux, Rachid Chelouah, Maria F. Barbosa Wanderley, Patrick Siarry, Antônio P. Braga, Fabien Reyal, Roman Rouzier, Lajos Pusztai, René Natowicz

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Anomaly Prediction: A Novel Approach with Explicit Delay and Horizon von Jiang, You, Cela, Arben, Natowicz, René, Ouanounou, Jacob, Siarry, Patrick

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Learning K-U-Net with constant complexity: An Application to time series forecasting von Jiang, You, Cela, Arben, Natowicz, René, Ouanounou, Jacob, Siarry, Patrick

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Kernel-U-Net: Multivariate Time Series Forecasting using Custom Kernels von Jiang, You, Cela, Arben, Natowicz, René, Ouanounou, Jacob, Siarry, Patrick

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