| Machine learning for volcano-seismic signals: Challenges and perspectives M Malfante, M Dalla Mura, JP Métaxian, JI Mars, O Macedo, A Inza IEEE Signal Processing Magazine 35 (2), 20-30, 2018 | 171 | 2018 |
| Automatic classification of volcano seismic signatures M Malfante, M Dalla Mura, JI Mars, JP Métaxian, O Macedo, A Inza Journal of Geophysical Research: Solid Earth 123 (12), 10,645-10,658, 2018 | 68 | 2018 |
| Automatic fish sounds classification M Malfante, JI Mars, M Dalla Mura, C Gervaise The Journal of the Acoustical Society of America 143 (5), 2834-2846, 2018 | 65 | 2018 |
| A machine-learning approach for automatic classification of volcanic seismicity at La Soufrière Volcano, Guadeloupe A Falcin, JP Métaxian, J Mars, É Stutzmann, JC Komorowski, R Moretti, ... Journal of Volcanology and Geothermal Research 411, 107151, 2021 | 34 | 2021 |
| Automatic Multichannel Volcano-Seismic Classification Using Machine Learning and EMD PEE Lara, CAR Fernandes, A Inza, JI Mars, JP Métaxian, M Dalla Mura, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 33 | 2020 |
| Use of deep features for the automatic classification of fish sounds M Malfante, O Mohammed, C Gervaise, M Dalla Mura, JI Mars 2018 OCEANS-MTS/IEEE Kobe Techno-Oceans (OTO), 1-5, 2018 | 18 | 2018 |
| Automatic fish sounds classification M Malfante, M Dalla Mura, JI Mars, C Gervaise The Journal of the Acoustical Society of America 139 (4), 2115-2116, 2016 | 14 | 2016 |
| Deep anomaly detection using self-supervised learning: application to time series of cellular data R Bailly, M Malfante, C Allier, L Ghenim, JI Mars ASPAI 2021-3rd International Conference on Advances in Signal Processing and …, 2021 | 6 | 2021 |
| Machine learning for automatic classification of volcano-seismic signatures M Malfante, M Dalla Mura, JI Mars, JP Metaxian 2017 25th European Signal Processing Conference (EUSIPCO), 2393-2397, 2017 | 6 | 2017 |
| Vehicle detection on occupancy grid maps: comparison of five detectors regarding real-time performance N Defauw, M Malfante, O Antoni, T Rakotovao, S Lesecq Sensors 23 (3), 1613, 2023 | 5 | 2023 |
| Tensor-based learning framework for automatic multichannel volcano-seismic classification AAT Peixoto, CAR Fernandes, PEE Lara, A Inza, JI Mars, JP Metaxian, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 5 | 2021 |
| Automatic analysis architecture M Malfante, J Mars, M Dalla Mura | 5 | 2019 |
| Deep learning detects uncataloged low-frequency earthquakes across regions J Münchmeyer, S Giffard-Roisin, M Malfante, W Frank, P Poli, D Marsan, ... arXiv preprint arXiv:2311.13971, 2023 | 4 | 2023 |
| Automatic classification of natural signals for environmental monitoring M Malfante Université Grenoble Alpes, 2018 | 2 | 2018 |
| Detecting abnormal cell behaviors from dry mass time series R Bailly, M Malfante, C Allier, C Paviolo, L Ghenim, K Padmanabhan, ... Scientific Reports 14 (1), 7053, 2024 | 1 | 2024 |
| Comparaison des capacités prédictives de réseaux de neurones, application à la masse sèche de cellules R Bailly, M Malfante, C Allier, L Ghenim, JI Mars GRETSI 2023-XXIXème Colloque Francophone de Traitement du Signal et des Images, 2023 | 1 | 2023 |
| Détection de véhicules en temps réel sur grilles d'occupation par des méthodes d'apprentissage profond N Defauw, O Antoni, M Malfante, T Rakotovao, S Lesecq XXVIIIème Colloque Francophone de Traitement du Signal et des Images (GRETSI …, 2022 | 1 | 2022 |
| Automatic classification of seismo-volcanic signatures M Malfante, M Dalla Mura, J Mars, O Macedo, A Inza, JP Métaxian EGU General Assembly Conference Abstracts 19, 8842, 2017 | 1 | 2017 |
| Efficient Binary Segmentation Through Dense Neural Networks in a Truncated Frequency Domain N Defauw, M Malfante, O Antoni, T Rakotovao, S Lesecq 2024 32nd European Signal Processing Conference (EUSIPCO), 566-570, 2024 | | 2024 |
| Identifying uncataloged low-frequency earthquake sources with deep learning J Münchmeyer, S Giffard-Roisin, M Malfante, W Frank, P Poli, D Marsan, ... EGU24, 2024 | | 2024 |
Jerome MARSProfessor, Grenoble INP, University Grenoble Alpes, CNRSDirección de correo verificada de gipsa-lab.grenoble-inp.fr
