Search Results - "Emonet, Rémi"

Author Correction: Trading contact tracing efficiency for finding patient zero by Waniek, Marcin, Holme, Petter, Farrahi, Katayoun, Emonet, Rémi, Cebrian, Manuel, Rahwan, Talal

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Epidemic contact tracing via communication traces by Farrahi, Katayoun, Emonet, Rémi, Cebrian, Manuel

“…Traditional contact tracing relies on knowledge of the interpersonal network of physical interactions, where contagious outbreaks propagate. However, due to…”
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End-to-end learned early classification of time series for in-season crop type mapping by Rußwurm, Marc, Courty, Nicolas, Emonet, Rémi, Lefèvre, Sébastien, Tuia, Devis, Tavenard, Romain

“…Remote sensing satellites capture the cyclic dynamics of our Planet in regular time intervals recorded in satellite time series data. End-to-end trained deep…”
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Sampled Gromov Wasserstein by Kerdoncuff, Tanguy, Emonet, Rémi, Sebban, Marc

“…Optimal Transport (OT) has proven to be a powerful tool to compare probability distributions in machine learning, but dealing with probability measures lying…”
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Landmarks-based kernelized subspace alignment for unsupervised domain adaptation by Aljundi, Rahaf, Emonet, Remi, Muselet, Damien, Sebban, Marc

“…Domain adaptation (DA) has gained a lot of success in the recent years in computer vision to deal with situations where the learning process has to transfer…”
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Trading contact tracing efficiency for finding patient zero by Waniek, Marcin, Holme, Petter, Farrahi, Katayoun, Emonet, Rémi, Cebrian, Manuel, Rahwan, Talal

“…As the COVID-19 pandemic has demonstrated, identifying the origin of a pandemic remains a challenging task. The search for patient zero may benefit from the…”
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Modelling digital and manual contact tracing for COVID-19. Are low uptakes and missed contacts deal-breakers? by Rusu, Andrei C, Emonet, Rémi, Farrahi, Katayoun

“…Comprehensive testing schemes, followed by adequate contact tracing and isolation, represent the best public health interventions we can employ to reduce the…”
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Multi-task, multi-domain learning: Application to semantic segmentation and pose regression by Fourure, Damien, Emonet, Rémi, Fromont, Elisa, Muselet, Damien, Neverova, Natalia, Trémeau, Alain, Wolf, Christian

“…We present an approach that leverages multiple datasets annotated for different tasks (e.g., classification with different labelsets) to improve the predictive…”
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Mean oriented Riesz features for micro expression classification by Duque, Carlos Arango, Alata, Olivier, Emonet, Rémi, Konik, Hubert, Legrand, Anne-Claire

“…•A framework based on the Riesz pyramid representation.•Extraction of multi-scale oriented phase-based features, we called MORF.•Application to model and…”
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Temporal Analysis of Motif Mixtures Using Dirichlet Processes by Emonet, Remi, Varadarajan, Jagannadan, Odobez, Jean-Marc

“…In this paper, we present a new model for unsupervised discovery of recurrent temporal patterns (or motifs) in time series (or documents). The model is…”
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A Sequential Topic Model for Mining Recurrent Activities from Long Term Video Logs by Varadarajan, Jagannadan, Emonet, Rémi, Odobez, Jean-Marc

“…This paper introduces a novel probabilistic activity modeling approach that mines recurrent sequential patterns called motifs from documents given as word …”
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Improving Domain Adaptation by Source Selection by Bascol, Kevin, Emonet, Remi, Fromont, Elisa

“…Domain adaptation consists in learning from a source data distribution a model that will be used on a different target data distribution. The domain adaptation…”
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Ten simple rules for collaborative lesson development by Devenyi, Gabriel A, Emonet, Rémi, Harris, Rayna M, Hertweck, Kate L, Irving, Damien, Milligan, Ian, Wilson, Greg

“…[...]teaching people how to teach is a great way to introduce them to each other and build community (Fig 2). First offered in 2012, it is now a two-day course…”
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Learning PDE to Model Self-Organization of Matter by Brandao, Eduardo, Colombier, Jean-Philippe, Duffner, Stefan, Emonet, Rémi, Garrelie, Florence, Habrard, Amaury, Jacquenet, François, Nakhoul, Anthony, Sebban, Marc

“…A self-organization hydrodynamic process has recently been proposed to partially explain the formation of femtosecond laser-induced nanopatterns on Nickel,…”
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Solving Highly Cyclic Distributed Optimization Problems Without Busting the Bank: A Decimation-based Approach by Cerquides, Jesús, Rodríguez-Aguilar, Juan Antonio, Emonet, Rémi, Picard, Gauthier

“…Abstract In the context of solving large distributed constraint optimization problems, belief-propagation and incomplete inference algorithms are candidates of…”
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Modelling digital and manual contact tracing for COVID-19. Are low uptakes and missed contacts deal-breakers? by Andrei C Rusu, Rémi Emonet, Katayoun Farrahi

“…Comprehensive testing schemes, followed by adequate contact tracing and isolation, represent the best public health interventions we can employ to reduce the…”
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Learning Complexity to Guide Light-Induced Self-Organized Nanopatterns by Brandao, Eduardo, Nakhoul, Anthony, Duffner, Stefan, Emonet, R, Garrelie, Florence, Habrard, Amaury, Jacquenet, François, Pigeon, Florent, Sebban, Marc, Colombier, Jean-Philippe

“…Ultrafast laser irradiation can induce spontaneous self-organization of surfaces into dissipative structures with nanoscale reliefs. These surface patterns…”
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Temporal Analysis of Motif Mixtures using Dirichlet Processes by Emonet, Rémi, Varadarajan, J., Odobez, Jean-Marc

“…In this paper, we present a new model for unsupervised discovery of recurrent temporal patterns (or motifs) in time series (or documents). The model is…”
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Socio-Technical Network Analysis from Wearable Interactions by Farrahi, K., Emonet, R., Ferscha, A.

“…Wearable sensing platforms like modern smart phones have proven to be effective means in the complexity and computational social sciences. This paper draws…”
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Clustering flood events from water quality time series using Latent Dirichlet Allocation model by Aubert, A. H., Tavenard, R., Emonet, R., de Lavenne, A., Malinowski, S., Guyet, T., Quiniou, R., Odobez, J.-M., Merot, P., Gascuel-Odoux, C.

“…To improve hydro‐chemical modeling and forecasting, there is a need to better understand flood‐induced variability in water chemistry and the processes…”
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