Résultats pour Auteur : "Ienco, Dino"

Deep semi-supervised clustering for multi-variate time-series. Ienco Dino, Interdonato Roberto. 2023. Neurocomputing, 516 : 36-47.

Temporal-domain adaptation for satellite image time-series land-cover mapping with adversarial learning and spatially aware self-training. Capliez Emmanuel, Ienco Dino, Gaetano Raffaele, Baghdadi Nicolas, Salah Adrien Hadj. 2023. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 16 : 3645-3675.

A constrastive semi-supervised deep learning framework for land cover classification of satellite time series with limited labels. Ienco Dino, Gaetano Raffaele, Interdonato Roberto. 2023. Neurocomputing, 567:127031, 11 p.

Attentive spatial temporal graph CNN for land cover mapping from multi temporal remote sensing data. Censi Alessandro Michele, Ienco Dino, Gbodjo Yawogan Jean Eudes, Pensa Ruggero Gaetano, Interdonato Roberto, Gaetano Raffaele. 2021. IEEE Access, 9:20324283 : 23070-23082.

Benchmarking statistical modelling approaches with multi-source remote sensing data for millet yield monitoring: a case study of the groundnut basin in central Senegal. Gbodjo Yawogan Jean Eudes, Ienco Dino, Leroux Louise. 2021. International Journal of Remote Sensing, 42 (24) : 9277-9300.

A CNN-based approach for the estimation of canopy heights and wood volume from GEDI waveforms. Fayad Ibrahim, Ienco Dino, Baghdadi Nicolas, Gaetano Raffaele, Alcarde Alvares Clayton, Stape Jose Luiz, Ferraço Scolforo Henrique, Le Maire Guerric. 2021. Remote Sensing of Environment, 265:112652, 16 p.

Multi-sensor land cover classification with sparsely annotated data based on Convolutional Neural Networks and Self-Distillation. Gbodjo Jean Eudes, Montet Didier, Ienco Dino, Gaetano Raffaele, Dupuy Stéphane. 2021. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15 p.

Object-based multi-temporal and multi-source land cover mapping leveraging hierarchical class relationships. Gbodjo Yawogan Jean Eudes, Ienco Dino, Leroux Louise, Interdonato Roberto, Gaetano Raffaele, Ndao Babacar. 2020. Remote Sensing, 12 (17), n.spéc. Multi-Sensor Data Fusion and Analysis of Multi-Temporal Remote Sensed Imagery:2814, 28 p.

Toward spatio-spectral analysis of sentinel-2 time series data for land cover mapping. Gbodjo Jean Eudes, Ienco Dino, Leroux Louise. 2020. IEEE Geoscience and Remote Sensing Letters, 17 (2) : 307-311.

Weakly supervised learning for landcover mapping of satellite image timeseries via attention-based CNN. Ienco Dino, Gbodjo Yawogan Jean Eudes, Gaetano Raffaele, Interdonato Roberto. 2020. IEEE Access, 8 : 179547-179560.

Combining Sentinel-1 and Sentinel-2 Satellite Image Time Series for land cover mapping via a multi-source deep learning architecture. Ienco Dino, Interdonato Roberto, Gaetano Raffaele, Ho Tong Minh Dinh. 2019. ISPRS Journal of Photogrammetry and Remote Sensing, 158 : 11-22.

DuPLO: A DUal view Point deep Learning architecture for time series classificatiOn. Interdonato Roberto, Ienco Dino, Gaetano Raffaele, Osé Kenji. 2019. ISPRS Journal of Photogrammetry and Remote Sensing, 149 : 91-104.

Deep recurrent neural networks for winter vegetation quality mapping via multitemporal SAR sentinel-1. Ho Tong Minh Dinh, Ienco Dino, Gaetano Raffaele, Lalande Nathalie, Ndikumana Emile, Osman Faycal, Maurel Pierre. 2018. IEEE Geoscience and Remote Sensing Letters, 15 (3) : 464-468.

M3Fusion: A deep learning architecture for multiscale multimodal multitemporal satellite data fusion. Benedetti Paola, Ienco Dino, Gaetano Raffaele, Osé Kenji, Pensa Ruggero, Dupuy Stéphane. 2018. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11 (2) : 4939-4949.

A two-branch CNN architecture for land cover classification of PAN and MS imagery. Gaetano Raffaele, Ienco Dino, Osé Kenji, Cresson Rémi. 2018. Remote Sensing, 10 (11):1746, 20 p.

Land cover classification via multitemporal spatial data by deep recurrent neural networks. Ienco Dino, Gaetano Raffaele, Dupaquier Claire, Maurel Pierre. 2017. IEEE Geoscience and Remote Sensing Letters, 14 (10) : 1685-1689.

Spatio-temporal data classification through multidimensional sequential patterns: Application to crop mapping in complex landscape. Pitarch Yoann, Ienco Dino, Vintrou Elodie, Bégué Agnès, Laurent Anne, Poncelet Pascal, Sala Michel, Teisseire Maguelonne. 2015. Engineering Applications of Artificial Intelligence, 37 : 91-102.

Data mining, a promising tool for large-area cropland mapping. Vintrou Elodie, Ienco Dino, Bégué Agnès, Teisseire Maguelonne. 2013. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6 (5) : 2132-2138.

Fondements et état de l'art. Mitton Nathalie, Brossard Ludovic, Bouadi Tassadit, Garcia Frédérick, Gautron Romain, Hilgert Nadine, Ienco Dino, Largouët Christine, Lutton Evelyne, Masson Véronique, Martin-Clouaire Roger, Mugnier Marie-Laure, Neveu Pascal, Preux Philippe, Raynal Hélène, Rousset Catherine, Termier Alexandre, Bellon-Maurel Véronique. 2022. In : Agriculture et numérique : un Livre Blanc d’Inria et INRAE pour construire les bases d’une agriculture numérique responsable. Bellon-Maurel Véronique (ed.), Brossard Ludovic (ed.), Garcia Frédérick (ed.), Mitton Nathalie (ed.), Terrier Alexandre (ed.). Le Chesnay : INRIA-INRAE, 32-82. (Livre blanc / INRIA, 6)

Foundations and state of play. Mitton Nathalie, Brossard Ludovic, Bouadi Tassadit, Garcia Frédérick, Gautron Romain, Hilgert Nadine, Ienco Dino, Largouët Christine, Lutton Evelyne, Masson Véronique, Martin-Clouaire Roger, Mugnier Marie-Laure, Neveu Pascal, Preux Philippe, Raynal Hélène, Rousset Catherine, Termier Alexandre, Bellon-Maurel Véronique. 2022. In : Agriculture and Digital Technology: getting the most out of digital technology to contribute to the transition to sustainable agriculture and food systems. Bellon-Maurel Véronique (ed.), Brossard Ludovic (ed.), Garcia Frédérick (ed.), Mitton Nathalie (ed.), Terrier Alexandre (ed.). Le Chesnay : INRIA-INRAE, 30-75. (White Book / INRIA, 6) ISBN 978-2-7261-1310-3

Estimating forest heights and wood volume using a deep learning approach from Gedi waveform data. Fayad Ibrahim, Ienco Dino, Baghdadi Nicolas, Gaetano Raffaele, Alcarde Alvares Clayton, Stape Jose Luiz, Ferraço Scolforo Henrique, Le Maire Guerric. 2022. In : 2022 IEEE International Geoscience and Remote Sensing Symposium. IEEE, GRSS. Kuala Lumpur : IEEE, 7301-7304. IGARSS 2022, Kuala Lumpur, Malaisie, 17 Juillet 2022/22 Juillet 2022.

Unsupervised domain adaptation methods for land cover mapping with optical satellite image time series. Capliez Emmanuel, Ienco Dino, Gaetano Raffaele, Baghdadi Nicolas, Hadj Salah Adrien. 2022. In : 2022 IEEE International Geoscience and Remote Sensing Symposium. IEEE, GRSS. Kuala Lumpur : IEEE, 275-278. IGARSS 2022, Kuala Lumpur, Malaisie, 17 Juillet 2022/22 Juillet 2022.

Tutorial: Machine and Deep Learning for Earth Observation: Advanced Approaches and Practical Use Cases – Abstract. Ienco Dino, Interdonato Roberto. 2021. In : Proceedings of the 29th Italian Symposium on Advanced Database Systems Pizzo Calabro (VV), Italy, September 5-9, 2021. Greco Sergio (ed.), Lenzerini Maurizio (ed.), Masciari Elio (ed.), Tagarelli Andrea (ed.). Pizzo Calabro : CEUR Workshop Proceedings, Résumé, iv- iv. SEBD 2021: Italian Symposium on Advanced Database Systems (SEBD - Sistemi Evoluti per Basi di Dati). 29, Pizzo Calabro, Italie, 5 Septembre 2021/9 Septembre 2021.

A neural network strategy for supervised classification via the Learning Under Privileged Information paradigm. Sacco Ludovica, Ienco Dino, Interdonato Roberto. 2021. In : Proceedings of the 29th Italian Symposium on Advanced Database Systems Pizzo Calabro (VV), Italy, September 5-9, 2021. Greco Sergio (ed.), Lenzerini Maurizio (ed.), Masciari Elio (ed.), Tagarelli Andrea (ed.). Pizzo Calabro : CEUR Workshop Proceedings, 83-93. SEBD 2021: Italian Symposium on Advanced Database Systems (SEBD - Sistemi Evoluti per Basi di Dati). 29, Pizzo Calabro, Italie, 5 Septembre 2021/9 Septembre 2021.

Deep multivariate time series embedding clustering via attentive-gated autoencoder. Ienco Dino, Interdonato Roberto. 2020. In : Advances in knowledge discovery and data mining: 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11–14, 2020, Proceedings, Part I. Lauw H.W. (ed.), Wong R.C.W. (ed.), Ntoulas A. (ed.), Lim E.P. (ed.), Ng S.K. (ed.), Pan S.J. (ed.). Cham : Springer, 318-329. (Lecture Notes in Artificial Intelligence, 12084) ISBN 978-3-030-47425-6 Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2020). 24, Singapour, Singapour, 11 Mai 2020/14 Mai 2020.

Generalized knowledge distillation for multi-sensor remote sensing classification: an application to land cover mapping. Ienco Dino. 2020. In : ISPRS Annals of the photogrammetry, remote sensing and spatial information sciences, Volume V-2-2020. Paparoditis N. (ed.), Mallet C. (ed.), Lafarge F. (ed.), Remondino F. (ed.), Toschi I. (ed.), Fuse T. (ed.). ISPRS. Hanovre : ISPRS, 997-1003. (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, V-2-2020) ISPRS Congress 2020 Commission II. 24, 31 Août 2020/2 Septembre 2020.

Supervised level-wise pretraining for sequential data classification. Ienco Dino, Interdonato Roberto, Gaetano Raffaele. 2020. In : Neural information processing, Part V. Yang Haiqin (ed.), Pasupa Kitsuchart (ed.), Leung Andrew Chi-Sing (ed.), Kwok James T. (ed.), Chan Jonathan H. (ed.). Cham : Springer, 449-457. (Communications in Computer and Information Science, 1333) ISBN 978-3-030-63822-1 International Conference on Neural Information Processing (ICONIP 2020). 27, Thaïlande, 18 Novembre 2020/22 Novembre 2020.

Optical image gap filling using deep convolutional autoencoder from optical and radar images. Cresson Rémi, Ienco Dino, Gaetano Raffaele, Osé Kenji, Tong Minh Dinh Ho. 2019. In : IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium proceedings. IEEE, GRSS. Yokohama : IEEE, 218-221. ISBN 978-1-5386-9155-7 IGARSS 2019, Yokohama, Japon, 28 Juillet 2019/2 Août 2019.

MultiLingMine 2016: modeling, learning and mining for cross/multilinguality. Romeo Salvatore, Tagarelli Andrea, Ienco Dino, Roche Mathieu, Rosso Paolo. 2016. In : Advances in information retrieval. Ferro Nicola (ed.), Crestani Fabio (ed.), Moens Marie-Francine (ed), Mothe Josiane (ed.), Silvestri Fabrizio (ed.), Di Nunzio Giorgio Maria (ed.), Hauff Claudia (ed.), Silvello Gianmaria (ed.). University of Padua. Cham : Springer, 869-873. (Lecture notes in computer science, 9626) ISBN 978-3-319-30670-4 European Conference on IR Research ECIR 2016. 38, Padua, Italie, 20 Mars 2016/23 Mars 2016.

A dual viewpoint deep learning architecture for time series classification. Interdonato Roberto, Ienco Dino, Gaetano Raffaele, Osé Kenji. 2019. . European Space Agency, Italian Space Agency. Milan : ESA [European Space Agency], 1 p. 2019 Living Planet Symposium (LPS 2019), Milan, Italie, 13 Mai 2019/17 Mai 2019.

M3Fusion : Un modèle d'apprentissage profond pour la fusion de données satellitaires Multi-{Echelles/Modalités/Temporelles}. Benedetti Paola, Gaetano Raffaele, Osé Kenji, Pensa Ruggero, Dupuy Stéphane, Ienco Dino. 2018. . SFPT. Marne-la-Vallée : s.n., 8 p. Conférence Française de Photogrammétrie et de Télédétection, Marne-la-Vallée, France, 26 Juin 2018/27 Juin 2018.

Identifying cropped areas in small growers agricultural regions using data mining for food security. Vintrou Elodie, Lebourgeois Valentine, Bégué Agnès, Ienco Dino, Teisseire Maguelonne, Dupuy Stéphane, Andriandrahona Fidiniaina Ramahandry. 2014. In : SENTINEL-2 for Science Workshop, Frascati, Italy, 20-22 May 2014. ESA. s.l. : s.n., Diaporama, 8 p. SENTINEL-2 for Science Workshop, Frascati, Italie, 20 Mai 2014/22 Mai 2014.