On Rank Selection in Non-Negative Matrix Factorization Using Concordance von Fogel, Paul, Geissler, Christophe, Morizet, Nicolas, Luta, George

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Usage of GAMS-Based Digital Twins and Clustering to Improve Energetic Systems Control von Gronier, Timothé, Maréchal, William, Geissler, Christophe, Gibout, Stéphane

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Stress testing electrical grids: Generative Adversarial Networks for load scenario generation von Rizzato, Matteo, Morizet, Nicolas, Maréchal, William, Geissler, Christophe

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Relevance of Optimized Low-Scale Green H2 Systems in a French Context: Two Case Studies von Gronier, Timothé, Maréchal, William, Gibout, Stéphane, Geissler, Christophe

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Generative Adversarial Networks applied to synthetic financial scenarios generation von Rizzato, Matteo, Wallart, Julien, Geissler, Christophe, Morizet, Nicolas, Boumlaik, Noureddine

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Analysis of the relevance of sentiment data for the prediction of excess returns in a multiasset framework von Desforges, Perceval, Geissler, Christophe, Liu, Fei

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An adaptative approach for estimating the remaining useful life of a heavy-duty fuel cell vehicle von Morizet, Nicolas, Desforges, Perceval, Geissler, Christophe, Pahon, Elodie, Jemei, Samir, Hissel, Daniel

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Time to market reduction for hydrogen fuel cell stacks using Generative Adversarial Networks von Morizet, Nicolas, Desforges, Perceval, Geissler, Christophe, Pahon, Elodie, Jemei, Samir, Hissel, Daniel

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Using Federated Learning for Collaborative Intrusion Detection Systems von Rizzato, Matteo, Laarouchi, Youssef, Geissler, Christophe

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ESG Investments: Filtering versus Machine Learning Approaches von Margot, Vincent, Geissler, Christophe, De Franco, Carmine, Monnier, Bruno

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Generative Adversarial Networks Applied to Synthetic Financial Scenarios Generation von Rizzato, Matteo, Wallart, Julien, Geissler, Christophe, Morizet, Nicolas, Boumlaik, Noureddine

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Making use of supercomputers in financial machine learning von Cotte, Philippe, Lagier, Pierre, Margot, Vincent, Geissler, Christophe

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Time to Market Reduction for Hydrogen Fuel Cell Stacks using Generative Adversarial Networks von Morizet, Nicolas, Desforges, Perceval, Geissler, Christophe, Pahon, Elodie, Jemeï, Samir, Hissel, Daniel

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PROCEDE DE PREDICTION INTERPRETABLE PAR APPRENTISSAGE FONCTIONNANT SOUS RESSOURCES MEMOIRES LIMITEES von Geissler, Christophe, Margot, Vincent

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ESG investments: Filtering versus machine learning approaches von de Franco, Carmine, Geissler, Christophe, Margot, Vincent, Monnier, Bruno

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Making use of supercomputers in financial machine learning von Cotte, Philippe, Lagier, Pierre, Vincent, Margot, Geissler, Christophe

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PROCEDE DE PREDICTION INTERPRETABLE PAR APPRENTISSAGE FONCTIONNANT SOUS RESSOURCES MEMOIRES LIMITEES von Geissler, Christophe, Margot, Vincent

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Time to Market Reduction for Hydrogen Fuel Cell Stacks using Generative Adversarial Networks von Morizet, Nicolas, Desforges, Perceval, Geissler, Christophe, Pahon, Elodie, Jemeï, Samir, Hissel, Daniel

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ESG investments: Filtering versus machine learning approaches von de Franco, Carmine, Geissler, Christophe, Vincent, Margot, Monnier, Bruno

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A Phase I/IIa study of autologous tolerogenic dendritic cells immunotherapy in kidney transplant recipients von Moreau, Aurélie, Kervella, Delphine, Bouchet-Delbos, Laurence, Braudeau, Cécile, Saïagh, Soraya, Guérif, Pierrick, Limou, Sophie, Moreau, Anne, Bercegeay, Sylvain, Streitz, Mathias, Sawitzki, Birgit, James, Ben, Harden, Paul N., Game, David, Tang, Qizhi, Markmann, James F., Roberts, Ian S.D., Geissler, Edward K., Dréno, Brigitte, Josien, Régis, Cuturi, Maria-Cristina, Blancho, Gilles, Blancho, Gilles, Branchereau, Julien, Cantarovich, Diego, Chapelet, Agnès, Dantal, Jacques, Deltombe, Clément, Figueres, Lucile, Gaisne, Raphael, Garandeau, Claire, Giral, Magali, Gourraud-Vercel, Caroline, Hourmant, Maryvonne, Karam, Georges, Kerleau, Clarisse, Kervella, Delphine, Masset, Christophe, Meurette, Aurélie, Ville, Simon, Kandell, Christine, Moreau, Anne, Renaudin, Karine, Delbos, Florent, Walencik, Alexandre, Devis, Anne

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