Early detection of critical urban events using mobile phone network data von Lemaire, Pierre, Furno, Angelo, Rubrichi, Stefania, Bondu, Alexis, Smoreda, Zbigniew, Ziemlicki, Cezary, El Faouzi, Nour-Eddin, Gaume, Eric

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Biquality learning: a framework to design algorithms dealing with closed-set distribution shifts von Nodet, Pierre, Lemaire, Vincent, Bondu, Alexis, Cornuéjols, Antoine

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Early classification of time series: Cost-based optimization criterion and algorithms von Achenchabe, Youssef, Bondu, Alexis, Cornuéjols, Antoine, Dachraoui, Asma

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Early classification of time series von Achenchabe, Youssef, Bondu, Alexis, Cornuéjols, Antoine, Dachraoui, Asma

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Early Classification of Time Series as a Non Myopic Sequential Decision Making Problem von Dachraoui, Asma, Bondu, Alexis, Cornuéjols, Antoine

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Interpretable Feature Construction for Time Series Extrinsic Regression von Gay, Dominique, Bondu, Alexis, Lemaire, Vincent, Boullé, Marc

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Early detection of critical urban events using mobile phone network data von Pierre Lemaire, Angelo Furno, Stefania Rubrichi, Alexis Bondu, Zbigniew Smoreda, Cezary Ziemlicki, Nour-Eddin El Faouzi, Eric Gaume

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Advanced analytics and learning on temporal data: 5th ECML PKDD workshop, AALTD 2020, Ghent, Belgium, September 18, 2020, revised selected papers. (Lecture notes in artificial inte... von Lemaire, Vincent, Malinowski, Simon, Bagnall, Anthony, Bondu, Alexis, Guyet, Thomas, Tavenard, Romain

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Advanced Analytics and Learning on Temporal Data: 4th ECML PKDD Workshop, AALTD 2019, Würzburg, Germany, September 20, 2019, Revised Selected Papers von Lemaire, Vincent, Malinowski, Simon, Bagnall, Anthony, Bondu, Alexis, Guyet, Thomas, Tavenard, Romain

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Multivariate Time Series Classification: A Relational Way von Gay, Dominique, Bondu, Alexis, Lemaire, Vincent, Boullé, Marc, Clérot, Fabrice

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How to Detect Novelty in Textual Data Streams? A Comparative Study of Existing Methods von Christophe, Clément, Velcin, Julien, Cugliari, Jairo, Suignard, Philippe, Boumghar, Manel

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A Fully Automated Periodicity Detection in Time Series von Puech, Tom, Boussard, Matthieu, D’Amato, Anthony, Millerand, Gaëtan

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Toward a Framework for Seasonal Time Series Forecasting Using Clustering von Leverger, Colin, Malinowski, Simon, Guyet, Thomas, Lemaire, Vincent, Bondu, Alexis, Termier, Alexandre

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Advanced Analytics and Learning on Temporal Data: 4th ECML PKDD Workshop, AALTD 2019, Würzburg, Germany, September 20, 2019, Revised Selected Papers

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A non-parametric semi-supervised discretization method von Bondu, Alexis, Boullé, Marc, Lemaire, Vincent

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Proactive Fiber Break Detection Based on Quaternion Time Series and Automatic Variable Selection from Relational Data von Lemaire, Vincent, Boitier, Fabien, Pesic, Jelena, Bondu, Alexis, Ragot, Stéphane, Clérot, Fabrice

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Localized Random Shapelets von Guillemé, Mael, Malinowski, Simon, Tavenard, Romain, Renard, Xavier

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Extended Kalman Filter for Large Scale Vessels Trajectory Tracking in Distributed Stream Processing Systems von Juraszek, Katarzyna, Saini, Nidhi, Charfuelan, Marcela, Hemsen, Holmer, Markl, Volker

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Conditional Forecasting of Water Level Time Series with RNNs von van der Lugt, Bart J., Feelders, Ad J.

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Modelling Patient Sequences for Rare Disease Detection with Semi-supervised Generative Adversarial Nets von Yu, Kezi, Wang, Yunlong, Cai, Yong

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