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- Dino Ienco
Irstea Institute, Montpellier, France
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Publication search results
found 159 matches
- 2024
- Dino Ienco, Raffaele Gaetano, Roberto Interdonato:
A constrastive semi-supervised deep learning framework for land cover classification of satellite time series with limited labels. Neurocomputing 567: 127031 (2024) - Saeideh Maleki, Nicolas N. Baghdadi, Sami Najem, Cássio Fraga Dantas, Hassan Bazzi, Dino Ienco:
Determining Effective Temporal Windows for Rapeseed Detection Using Sentinel-1 Time Series and Machine Learning Algorithms. Remote. Sens. 16(3): 549 (2024) - Cássio Fraga Dantas, Raffaele Gaetano, Claudia Paris, Dino Ienco:
Reuse out-of-year data to enhance land cover mapping via feature disentanglement and contrastive learning. CoRR abs/2404.11114 (2024) - 2023
- Dino Ienco:
A Deep Neural Network Framework for Multivariate Time Series Classification With Positive and Unlabeled Data. IEEE Access 11: 20877-20884 (2023) - Johann Desloires, Dino Ienco, Antoine Botrel:
Out-of-year corn yield prediction at field-scale using Sentinel-2 satellite imagery and machine learning methods. Comput. Electron. Agric. 209: 107807 (2023) - Azza Abidi, Dino Ienco, Ali Ben Abbes, Imed Riadh Farah:
Combining 2D encoding and convolutional neural network to enhance land cover mapping from Satellite Image Time Series. Eng. Appl. Artif. Intell. 122: 106152 (2023) - Giuseppina Andresini, Annalisa Appice, Dino Ienco, Donato Malerba:
SENECA: Change detection in optical imagery using Siamese networks with Active-Transfer Learning. Expert Syst. Appl. 214: 119123 (2023) - Dino Ienco, Roberto Interdonato:
Deep semi-supervised clustering for multi-variate time-series. Neurocomputing 516: 36-47 (2023) - Shuyi Yang, Mattia Cerrato, Dino Ienco, Ruggero G. Pensa, Roberto Esposito:
FairSwiRL: fair semi-supervised classification with representation learning. Mach. Learn. 112(9): 3051-3076 (2023) - Emmanuel Capliez, Dino Ienco, Raffaele Gaetano, Nicolas N. Baghdadi, Adrien Hadj-Salah:
Temporal-Domain Adaptation for Satellite Image Time-Series Land-Cover Mapping With Adversarial Learning and Spatially Aware Self-Training. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 3645-3675 (2023) - Daniel Carcereri, Paola Rizzoli, Dino Ienco, Lorenzo Bruzzone:
A Deep Learning Framework for the Estimation of Forest Height From Bistatic TanDEM-X Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 8334-8352 (2023) - Karun Reuel Dayal, Sylvie Durrieu, Kamel Lahssini, Dino Ienco, Jean-Matthieu Monnet:
Enhancing Forest Attribute Prediction by Considering Terrain and Scan Angles From Lidar Point Clouds: A Neural Network Approach. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 3531-3544 (2023) - Saeideh Maleki, Nicolas N. Baghdadi, Cássio Fraga Dantas, Sami Najem, Hassan Bazzi, Núria Pantaleoni Reluy, Dino Ienco, Mehrez Zribi:
Artificial Intelligence Algorithms for Rapeseed Fields Mapping Using Sentinel-1 Time Series: Temporal Transfer Scenario and Ground Sampling Constraints. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 8884-8899 (2023) - Emmanuel Capliez, Dino Ienco, Raffaele Gaetano, Nicolas N. Baghdadi, Adrien Hadj-Salah, Matthieu Le Goff, Florient Chouteau:
Multisensor Temporal Unsupervised Domain Adaptation for Land Cover Mapping With Spatial Pseudo-Labeling and Adversarial Learning. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - Samuele Fonio, Lorenzo Paletto, Mattia Cerrato, Dino Ienco, Roberto Esposito:
Hierarchical priors for Hyperspherical Prototypical Networks. ESANN 2023 - Cheick Tidiane Ba, Roberto Interdonato, Dino Ienco, Sabrina Gaito:
Une méthode à base de réseaux de neurones pour la simplification des graphes multicouches dans un contexte de classification des noeuds. EGC 2023: 377-384 - Robert van der Klis, Stephan Alaniz, Massimiliano Mancini, Cássio Fraga Dantas, Dino Ienco, Zeynep Akata, Diego Marcos:
PDiscoNet: Semantically consistent part discovery for fine-grained recognition. ICCV 2023: 1866-1876 - Ananthu Aniraj, Cássio F. Dantas, Dino Ienco, Diego Marcos:
Masking Strategies for Background Bias Removal in Computer Vision Models. ICCV (Workshops) 2023: 4399-4407 - Konstantinos P. Panousis, Dino Ienco, Diego Marcos:
Sparse Linear Concept Discovery Models. ICCV (Workshops) 2023: 2759-2763 - Daniel Carcereri, Paola Rizzoli, Dino Ienco, Lorenzo Bruzzone:
Potential of Deep Learning for Forest Height Estimation from Tandem-X Bistatic Insar Data. IGARSS 2023: 1481-1484 - Cássio Fraga Dantas, Thalita F. Drumond, Diego Marcos, Dino Ienco:
Counterfactual Explanations for Remote Sensing Time Series Data: An Application to Land Cover Classification. ECML/PKDD (7) 2023: 20-36 - Shuyi Yang, Mattia Cerrato, Dino Ienco, Ruggero G. Pensa, Roberto Esposito:
Fair Semi-supervised Representation Learning for Tabular Data Classification. SEBD 2023: 488-496 - Thomas Corpetti, Dino Ienco, Roberto Interdonato, Minh-Tan Pham, Sébastien Lefèvre:
Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2022), Grenoble, France, September 18-22, 2022. CEUR Workshop Proceedings 3343, CEUR-WS.org 2023 [contents] - Cássio F. Dantas, Diego Marcos, Dino Ienco:
Counterfactual Explanations for Land Cover Mapping in a Multi-class Setting. CoRR abs/2301.01520 (2023) - Konstantinos P. Panousis, Dino Ienco, Diego Marcos:
Sparse Linear Concept Discovery Models. CoRR abs/2308.10782 (2023) - Ananthu Aniraj, Cássio Fraga Dantas, Dino Ienco, Diego Marcos:
Masking Strategies for Background Bias Removal in Computer Vision Models. CoRR abs/2308.12127 (2023) - Robert van der Klis, Stephan Alaniz, Massimiliano Mancini, Cássio F. Dantas, Dino Ienco, Zeynep Akata, Diego Marcos:
PDiscoNet: Semantically consistent part discovery for fine-grained recognition. CoRR abs/2309.03173 (2023) - Konstantinos P. Panousis, Dino Ienco, Diego Marcos:
Hierarchical Concept Discovery Models: A Concept Pyramid Scheme. CoRR abs/2310.02116 (2023) - 2022
- Amedeo Racanati, Roberto Esposito, Dino Ienco:
Dealing With Multipositive Unlabeled Learning Combining Metric Learning and Deep Clustering. IEEE Access 10: 51839-51849 (2022) - Johann Desloires, Dino Ienco, Antoine Botrel, Nicolas Ranc:
Positive Unlabelled Learning for Satellite Images'Time Series Analysis: An Application to Cereal and Forest Mapping. Remote. Sens. 14(1): 140 (2022)
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