Detecting abnormal cell behaviors from dry mass time series

Autor: Romain Bailly, Marielle Malfante, Cédric Allier, Chiara Paviolo, Lamya Ghenim, Kiran Padmanabhan, Sabine Bardin, Jérôme Mars

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)

Abstract The prediction of pathological changes on single cell behaviour is a challenging task for deep learning models. Indeed, in self-supervised learning methods, no prior labels are used for the training and all of the information for event predi

Externí odkaz: https://doaj.org/article/713270a8224f4a1f8b2948288b411b09

Tensor-Based Learning Framework for Automatic Multichannel Volcano-Seismic Classification

Autor: Antonio Augusto Teixeira Peixoto, Carlos Alexandre Rolim Fernandes, Pablo Eduardo Espinoza Lara, Adolfo Inza, Jerome I Mars, Jean-Philippe Metaxian, Mauro Dalla Mura, Marielle Malfante

Publikováno v: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 4517-4529 (2021)

This article proposes a supervised tensor-based learning framework for classifying volcano-seismic events from signals recorded at the Ubinas volcano, in Peru, during a period of great activity in 2009. The proposed method is fully tensorial, as it i

Externí odkaz: https://doaj.org/article/6e396025c32043e38b762bf7e8d7c5d7

Vehicle Detection on Occupancy Grid Maps: Comparison of Five Detectors Regarding Real-Time Performance

Autor: Nils Defauw, Marielle Malfante, Olivier Antoni, Tiana Rakotovao, Suzanne Lesecq

Publikováno v: Sensors, Vol 23, Iss 3, p 1613 (2023)

Occupancy grid maps are widely used as an environment model that allows the fusion of different range sensor technologies in real-time for robotics applications. In an autonomous vehicle setting, occupancy grid maps are especially useful for their ab

Externí odkaz: https://doaj.org/article/e5d6094fb7314bb4a2a24e9d82ec58d3

A machine-learning approach for automatic classification of volcanic seismicity at La Soufrière Volcano, Guadeloupe

Autor: Jean-Christophe Komorowski, Jean-Bernard de Chabalier, Alexis Falcin, Roberto Moretti, G. Ucciani, Arnaud Lemarchand, Jean-Philippe Métaxian, Jerome Mars, Céline Dessert, François Beauducel, Jean-Marie Saurel, Eléonore Stutzmann, Marielle Malfante, Arnaud Burtin

Publikováno v: Journal of Volcanology and Geothermal Research
Journal of Volcanology and Geothermal Research, 2021, 411, pp.107151. ⟨10.1016/j.jvolgeores.2020.107151⟩
Journal of Volcanology and Geothermal Research, Elsevier, 2021, 411, pp.107151. ⟨10.1016/j.jvolgeores.2020.107151⟩

International audience; The classification of seismo-volcanic signals is performed manually at La Soufrière Volcano, which is time consuming and can be biased by subjectivity of the operator. We propose here a machine-learning-based model for classi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::467ed38e97d9cec8df5f542edeb8fc8e
https://hal.science/hal-03113808

Automatic Multichannel Volcano-Seismic Classification Using Machine Learning and EMD

Autor: Jerome Mars, Pablo Eduardo Espinoza Lara, Carlos Alexandre Rolim Fernandes, Marielle Malfante, Jean-Philippe Metaxian, Mauro Dalla Mura, Adolfo Inza

Publikováno v: IGP-Institucional
Instituto Geofísico del Perú
instacron:IGP
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 1322-1331 (2020)
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE, 2020, 13, pp.1322-1331. ⟨10.1109/JSTARS.2020.2982714⟩
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, 13, pp.1322-1331. ⟨10.1109/JSTARS.2020.2982714⟩

International audience; This article proposes the design of an automatic classifier using the empirical mode decomposition (EMD) along with machine learning techniques for identifying the five most important types of events of the Ubinas volcano, the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f24bd684b70fceca7704b5f0d94cd76a