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Jerome Mars
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Documents
Présentation
**Prof. CEX2, GIPSA-Lab
**Institut Polytechnique de Grenoble****
Mail : jerome.mars@gipsa-lab.fr Tel : 04 76 82 62 53
[Liens google\_scholar](https://scholar.google.fr/citations?hl=fr&user=QAg1PuUAAAAJ&view_op=list_works)/
96 articles in international revues, more than 250 international conferences
[PH.D STUDENTS](http://www.gipsa-lab.grenoble-inp.fr/~jerome.mars/encadrement_en.html): 41 Phds, 2 in progress. (2 \_3A)
**Prof. CEX2 @ GIPSA-Lab
Institut Polytechnique de Grenoble**
Mail : jerome.mars@gipsa-lab.fr Tel : 04 76 82 62 53
96 articles dans revues, plus de 250 conférences internationales,
[ENCADREMENTS](http://www.gipsa-lab.grenoble-inp.fr/~jerome.mars/encadrement_en.html) : 41 théses soutenues, 2 en cours.
(2 en 3A)
Lien [Google-scholars](https://scholar.google.fr/citations?hl=fr&user=QAg1PuUAAAAJ&view_op=list_works).
Publications
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Automatic Multichannel Volcano-Seismic Classification Using Machine Learning and EMDIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, 13, pp.1322 - 1331. ⟨10.1109/JSTARS.2020.2982714⟩
Article dans une revue
hal-02535142v1
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Automatic fish sounds classificationJournal of the Acoustical Society of America, 2018, 143 (5), pp.2834 - 2846. ⟨10.1121/1.5036628⟩
Article dans une revue
hal-01791774v1
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Automatic classification of volcano seismic signaturesJournal of Geophysical Research, 2018, 123 (12), pp.10,645-10,658. ⟨10.1029/2018jb015470⟩
Article dans une revue
hal-01949302v1
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Machine Learning for Volcano-Seismic Signals: Challenges and PerspectivesIEEE Signal Processing Magazine, 2018, 35 (2), pp.20 - 30. ⟨10.1109/MSP.2017.2779166⟩
Article dans une revue
hal-01742506v1
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Sismo -volcano classification in real time based on Empirical Mode Decomposition (EMD) and Machine LearningAmerican Geophysical Union, Fall Meeting 2020, Dec 2020, San Francisco, United States
Communication dans un congrès
hal-03112554v1
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Torwards Earthquake Prediction?American Geophysical Union, Fall Meeting 2019, Dec 2019, San Francisco, United States
Communication dans un congrès
hal-02535122v1
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Use of deep features for the automatic classification of fish soundsOCEANS 2018 - OCEANS '18 MTS/IEEE. Ocean Planet – It’s our home., May 2018, Kobe, Japan
Communication dans un congrès
hal-01802551v1
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Machine Learning for Automatic Classification of Volcano-Seismic SignaturesEUSIPCO 2017 - 25th European Signal Processing Conference, Aug 2017, Kos Island, Greece. pp.2457-2461
Communication dans un congrès
hal-01578149v1
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Apprentissage statistique: classification automatique de signaux volcano-sismiquesGRETSI 2017 - XXVIème Colloque francophone de traitement du signal et des images, Sep 2017, Juan-Les-Pins, France
Communication dans un congrès
hal-01583748v1
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Automatic classification of seismo-volcanic signaturesEGU 2017 - European Geosciences Union General Assembly, Apr 2017, Vienne, Austria. pp.8842-2
Communication dans un congrès
hal-01520728v1
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Automatic fish sounds classificationAcoustics 2016 - 171st Meeting of The Acoustical Society of America, May 2016, Salt Lake City, United States. pp.2115
Communication dans un congrès
hal-01343780v1
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