Predicting graft and patient outcomes following kidney transplantation using interpretable machine learning models von Salaün, Achille, Knight, Simon, Wingfield, Laura, Zhu, Tingting

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Expressivity of Hidden Markov Chains vs. Recurrent Neural Networks From a System Theoretic Viewpoint von Desbouvries, Francois, Petetin, Yohan, Salaun, Achille

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Space-Time Pattern Extraction in Alarm Logs for Network Diagnosis von Salaün, Achille, Bouillard, Anne, Buob, Marc-Olivier

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Prédiction d'alarmes dans les réseaux via la recherche de motifs spatio-temporels et l'apprentissage automatique von Salaün, Achille

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Expressivity of Hidden Markov Chains vs. Recurrent Neural Networks from a system theoretic viewpoint von Desbouvries, François, Petetin, Yohan, Salaün, Achille

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Sample Selection Bias in Machine Learning for Healthcare von Chauhan, Vinod Kumar, Clifton, Lei, Salaün, Achille, Lu, Huiqi Yvonne, Branson, Kim, Schwab, Patrick, Nigam, Gaurav, Clifton, David A

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Expressivity of Hidden Markov Chains vs. Recurrent Neural Networks from a system theoretic viewpoint von Desbouvries, François, Petetin, Yohan, Salaün, Achille

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Sample Selection Bias in Machine Learning for Healthcare von Chauhan, Vinod Kumar, Clifton, Lei, Salaün, Achille, Lu, Huiqi Yvonne, Branson, Kim, Schwab, Patrick, Nigam, Gaurav, Clifton, David A

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Soft-graphoepitaxy using nanoimprinted polyhedral oligomeric silsesquioxane substrates for the directed self-assembly of PS-b-PDMS von Borah, Dipu, Simao, Claudia D., Senthamaraikannan, Ramsankar, Rasappa, Sozaraj, Francone, Achille, Lorret, Olivier, Salaun, Mathieu, Kosmala, Barbara, Kehagias, Nikolaos, Zelsmann, Marc, Sotomayor-Torres, Clivia M., Morris, Michael A.

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