Enhanced blood glucose levels prediction with a smartwatch von Pikulin, Sean, Yehezkel, Irad, Moskovitch, Robert

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Pro-cycling team cyclist assignment for an upcoming race von Sagi, Maor, Saldanha, Paulo, Shani, Guy, Moskovitch, Robert

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Predicting childhood obesity using electronic health records and publicly available data von Hammond, Robert, Athanasiadou, Rodoniki, Curado, Silvia, Aphinyanaphongs, Yindalon, Abrams, Courtney, Messito, Mary Jo, Gross, Rachel, Katzow, Michelle, Jay, Melanie, Razavian, Narges, Elbel, Brian

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Artificial Intelligence in Medicine: 18th International Conference on Artificial Intelligence in Medicine, AIME 2020, Minneapolis, MN, USA, August 25-28, 2020, Proceedings von Michalowski, Martin, Moskovitch, Robert

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Clinical factors associated with rapid treatment of sepsis von Song, Xing, Liu, Mei, Waitman, Lemuel R., Patel, Anurag, Simpson, Steven Q.

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The Univariate Flagging Algorithm (UFA): An interpretable approach for predictive modeling von Sheth, Mallory, Gerovitch, Albert, Welsch, Roy, Markuzon, Natasha

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The Semantic Adjacency Criterion in Time Intervals Mining von Shknevsky, Alexander, Shahar, Yuval, Moskovitch, Robert

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Analysis and prediction of unplanned intensive care unit readmission using recurrent neural networks with long short-term memory von Lin, Yu-Wei, Zhou, Yuqian, Faghri, Faraz, Shaw, Michael J, Campbell, Roy H

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Classification-driven temporal discretization of multivariate time series von Moskovitch, Robert, Shahar, Yuval

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Temporal biomedical data analytics von Shahar, Yuval, Wang, Fei, Hripcsak, George

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Multivariate temporal data analysis ‐ a review von Moskovitch, Robert

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TIRPClo: efficient and complete mining of time intervals-related patterns von Harel, Omer, Moskovitch, Robert

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Classification of multivariate time series via temporal abstraction and time intervals mining von Moskovitch, Robert, Shahar, Yuval

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INSTINCT: Inception-based Symbolic Time Intervals series classification von Harel, Omer David, Moskovitch, Robert

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Fast time intervals mining using the transitivity of temporal relations von Moskovitch, Robert, Shahar, Yuval

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Artificial Intelligence in Medicine: 22nd International Conference, AIME 2024, Salt Lake City, UT, USA, July 9-12, 2024, Proceedings, Part II von Finkelstein, Joseph, Moskovitch, Robert, Parimbelli, Enea

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Artificial Intelligence in Medicine: 22nd International Conference, AIME 2024, Salt Lake City, UT, USA, July 9-12, 2024, Proceedings, Part I von Finkelstein, Joseph, Moskovitch, Robert, Parimbelli, Enea

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STORM: A MapReduce framework for Symbolic Time Intervals series classification von Harel, Omer David, Moskovitch, Robert

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Temporal data analytics von Wang, Fei, Shahar, Yuval, Hripcsak, George

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Event prediction by estimating continuously the completion of a single temporal pattern’s instances von Itzhak, Nevo, Jaroszewicz, Szymon, Moskovitch, Robert

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