Dino Ienco
Orcid: 0000-0002-8736-3132Affiliations:
- Irstea Institute, Montpellier, France
According to our database1,
Dino Ienco
authored at least 145 papers
between 2008 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Determining Effective Temporal Windows for Rapeseed Detection Using Sentinel-1 Time Series and Machine Learning Algorithms.
Remote. Sens., February, 2024
A constrastive semi-supervised deep learning framework for land cover classification of satellite time series with limited labels.
Neurocomputing, January, 2024
2023
Mach. Learn., September, 2023
Out-of-year corn yield prediction at field-scale using Sentinel-2 satellite imagery and machine learning methods.
Comput. Electron. Agric., June, 2023
Multisensor Temporal Unsupervised Domain Adaptation for Land Cover Mapping With Spatial Pseudo-Labeling and Adversarial Learning.
IEEE Trans. Geosci. Remote. Sens., 2023
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., 2023
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., 2023
A Deep Learning Framework for the Estimation of Forest Height From Bistatic TanDEM-X Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
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., 2023
SENECA: Change detection in optical imagery using Siamese networks with Active-Transfer Learning.
Expert Syst. Appl., 2023
Combining 2D encoding and convolutional neural network to enhance land cover mapping from Satellite Image Time Series.
Eng. Appl. Artif. Intell., 2023
CoRR, 2023
A Deep Neural Network Framework for Multivariate Time Series Classification With Positive and Unlabeled Data.
IEEE Access, 2023
Proceedings of the 31st Symposium of Advanced Database Systems, 2023
Counterfactual Explanations for Remote Sensing Time Series Data: An Application to Land Cover Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023
Potential of Deep Learning for Forest Height Estimation from Tandem-X Bistatic Insar Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Une méthode à base de réseaux de neurones pour la simplification des graphes multicouches dans un contexte de classification des noeuds.
Proceedings of the Extraction et Gestion des Connaissances, 2023
2022
IEEE Trans. Vis. Comput. Graph., 2022
Combining LiDAR Metrics and Sentinel-2 Imagery to Estimate Basal Area and Wood Volume in Complex Forest Environment via Neural Networks.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
Positive Unlabelled Learning for Satellite Images'Time Series Analysis: An Application to Cereal and Forest Mapping.
Remote. Sens., 2022
Dealing With Multipositive Unlabeled Learning Combining Metric Learning and Deep Clustering.
IEEE Access, 2022
Combine Histogram Matching and Domain Adaptation to Cope with Temporal Transfer Learning for the Semantic Segmentation of VHR Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Estimating Forest Heights and Wood Volume using a Deep Learning Approach from Gedi Waveform Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Large Scale Forest Parameter Estimation Through a Deep Learning-Based Fusion of Sentinel-2 and Tandem-X Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Unsupervised Domain Adaptation Methods for Land Cover Mapping with Optical Satellite Image Time Series.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Clustering semi-supervisé de séries temporelles multivariées par apprentissage profond.
Proceedings of the Extraction et Gestion des Connaissances, 2022
2021
Multisensor Land Cover Classification With Sparsely Annotated Data Based on Convolutional Neural Networks and Self-Distillation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Neurocomputing, 2021
Attentive Spatial Temporal Graph CNN for Land Cover Mapping From Multi Temporal Remote Sensing Data.
IEEE Access, 2021
On Enhanced Ensemble Learning for Multimodal Remote Sensing Data Analysis by Capacity Optimization.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2021
Proceedings of the 29th Italian Symposium on Advanced Database Systems, 2021
A neural network strategy for supervised classification via the Learning Under Privileged Information paradigm.
Proceedings of the 29th Italian Symposium on Advanced Database Systems, 2021
Machine and Deep Learning for Earth Observation: Advanced Approaches and Practical Use Cases.
Proceedings of the 29th Italian Symposium on Advanced Database Systems, 2021
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Assessment of Urban Land-Cover Classification: Comparison Between Pixel and Object Scales.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Evaluate Pseudo Labeling and CNN for Multi-variate Time Series Classification in Low-Data Regimes.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021
2020
IEEE Trans. Neural Networks Learn. Syst., 2020
Unsupervised Change Detection Analysis in Satellite Image Time Series Using Deep Learning Combined With Graph-Based Approaches.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
Object-Based Multi-Temporal and Multi-Source Land Cover Mapping Leveraging Hierarchical Class Relationships.
Remote. Sens., 2020
Toward Spatio-Spectral Analysis of Sentinel-2 Time Series Data for Land Cover Mapping.
IEEE Geosci. Remote. Sens. Lett., 2020
Distilling Before Refine: Spatio-Temporal Transfer Learning for Mapping Irrigated Areas Using Sentinel-1 Time Series.
IEEE Geosci. Remote. Sens. Lett., 2020
Deep convolutional neural networks to monitor coralligenous reefs: Operationalizing biodiversity and ecological assessment.
Ecol. Informatics, 2020
Attentive Weakly Supervised land cover mapping for object-based satellite image time series data with spatial interpretation.
CoRR, 2020
Weakly Supervised Learning for Land Cover Mapping of Satellite Image Time Series via Attention-Based CNN.
IEEE Access, 2020
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
Proceedings of the Neural Information Processing - 27th International Conference, 2020
2019
Remote. Sens., 2019
Object-based multi-temporal and multi-source land cover mapping leveraging hierarchical class relationships.
CoRR, 2019
Supervised level-wise pretraining for recurrent neural network initialization in multi-class classification.
CoRR, 2019
Detection of spatio-temporal evolutions on multi-annual satellite image time series: A clustering based approach.
Int. J. Appl. Earth Obs. Geoinformation, 2019
Proceedings of the Joint Urban Remote Sensing Event, 2019
Combining Sentinel-1 and Sentinel-2 Time Series via RNN for Object-Based Land Cover Classification.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Optical image gap filling using deep convolutional autoencoder from optical and radar images.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Proceedings of the Extraction et Gestion des connaissances, 2019
Proceedings of the Discovery Science - 22nd International Conference, 2019
2018
M<sup>3</sup>Fusion: A Deep Learning Architecture for Multiscale Multimodal Multitemporal Satellite Data Fusion.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018
Remote. Sens., 2018
Deep Recurrent Neural Networks for Winter Vegetation Quality Mapping via Multitemporal SAR Sentinel-1.
IEEE Geosci. Remote. Sens. Lett., 2018
Object-oriented satellite image time series analysis using a graph-based representation.
Ecol. Informatics, 2018
CoRR, 2018
MRFusion: A Deep Learning architecture to fuse PAN and MS imagery for land cover mapping.
CoRR, 2018
M3Fusion: A Deep Learning Architecture for Multi-{Scale/Modal/Temporal} satellite data fusion.
CoRR, 2018
Proceedings of the 30th International Conference on Scientific and Statistical Database Management, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
2017
A Semisupervised Approach to the Detection and Characterization of Outliers in Categorical Data.
IEEE Trans. Neural Networks Learn. Syst., 2017
Land Cover Classification via Multitemporal Spatial Data by Deep Recurrent Neural Networks.
IEEE Geosci. Remote. Sens. Lett., 2017
Deep Recurrent Neural Networks for mapping winter vegetation quality coverage via multi-temporal SAR Sentinel-1.
CoRR, 2017
Node-centric community detection in multilayer networks with layer-coverage diversification bias.
CoRR, 2017
Land Cover Classification via Multi-temporal Spatial Data by Recurrent Neural Networks.
CoRR, 2017
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017
Analyse des dynamiques spatio-temporelles à partir de séries temporelles d'images satellitaires.
Proceedings of the 17ème Journées Francophones Extraction et Gestion des Connaissances, 2017
2016
ECIR 2016 Workshop on Modeling, Learning and Mining for Cross/Multilinguality (MultiLingMine '16).
SIGIR Forum, 2016
Ingénierie des Systèmes d Inf., 2016
User-driven geo-temporal density-based exploration of periodic and not periodic events reported in social networks.
Inf. Sci., 2016
Proceedings of the New Advances in Information Systems and Technologies, 2016
Deep learning is a good steganalysis tool when embedding key is reused for different images, even if there is a cover sourcemismatch.
Proceedings of the Media Watermarking, 2016
Proceedings of the 19th International Conference on Extending Database Technology, 2016
Proceedings of the Advances in Information Retrieval, 2016
Proceedings of the Database and Expert Systems Applications, 2016
Proceedings of the 2016 IEEE Pacific Visualization Symposium, 2016
2015
Comput. Geosci., 2015
Spatio-temporal data classification through multidimensional sequential patterns: Application to crop mapping in complex landscape.
Eng. Appl. Artif. Intell., 2015
Deep Learning for steganalysis is better than a Rich Model with an Ensemble Classifier, and is natively robust to the cover source-mismatch.
CoRR, 2015
Proceedings of the ISWC 2015 Posters & Demonstrations Track co-located with the 14th International Semantic Web Conference (ISWC-2015), 2015
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
Proceedings of the 19th International Conference on Information Visualisation, 2015
Proceedings of the 6th Italian Information Retrieval Workshop, 2015
Proceedings of the 15èmes Journées Francophones Extraction et Gestion des Connaissances, 2015
Knowledge-Based Representation for Transductive Multilingual Document Classification.
Proceedings of the Advances in Information Retrieval, 2015
2014
A contribution to the discovery of multidimensional patterns in healthcare trajectories.
J. Intell. Inf. Syst., 2014
Data Min. Knowl. Discov., 2014
Proceedings of the Symposium on Applied Computing, 2014
Proceedings of the 1st Workshop on Linked Data for Knowledge Discovery co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2014), 2014
High density-focused uncertainty sampling for active learning over evolving stream data.
Proceedings of the 3rd International Workshop on Big Data, 2014
Proceedings of the Foundations of Intelligent Systems - 21st International Symposium, 2014
Towards the Use of Sequential Patterns for Detection and Characterization of Natural and Agricultural Areas.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014
Exploring high repetitivity remote sensing time series for mapping and monitoring natural habitats - A new approach combining OBIA and k-partite graphs.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
Monitoring the phenology of mediterranean natural habitats with multispectral sensors - An analysis based on multiseasonal field spectra.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
Proceedings of the 14èmes Journées Francophones Extraction et Gestion des Connaissances, 2014
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014
2013
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013
J. Intell. Inf. Syst., 2013
Data Min. Knowl. Discov., 2013
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013
Proceedings of the 16th International Conference on Information Fusion, 2013
Proceedings of the Discovery Science - 16th International Conference, 2013
Proceedings of the Data Warehousing and Knowledge Discovery, 2013
2012
ACM Trans. Knowl. Discov. Data, 2012
LODE: A distance-based classifier built on ensembles of positive and negative observations.
Pattern Recognit., 2012
Proceedings of the ACM Symposium on Applied Computing, 2012
Extracting Trajectories through an Efficient and Unifying Spatio-temporal Pattern Mining System.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012
Proceedings of the New Frontiers in Mining Complex Patterns - First International Workshop, 2012
Proceedings of the Information Search, Integration and Personalization, 2012
Toward Geographic Information Harvesting: Extraction of Spatial Relational Facts from Web Documents.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012
Proceedings of the SIGSPATIAL 2012 International Conference on Advances in Geographic Information Systems (formerly known as GIS), 2012
Proceedings of the Extraction et gestion des connaissances (EGC'2012), Actes, janvier 31, 2012
An Unsupervised Framework for Topological Relations Extraction from Geographic Documents.
Proceedings of the Database and Expert Systems Applications, 2012
Proceedings of the first edition workshop on Politics, elections and data, 2012
Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012
2011
Trans. Large Scale Data Knowl. Centered Syst., 2011
Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2011
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011
2010
Proceedings of the ICDMW 2010, 2010
2009
Distance based Clustering for Categorical Data.
Proceedings of the Seventeenth Italian Symposium on Advanced Database Systems, 2009
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009
Proceedings of the Advances in Intelligent Data Analysis VIII, 2009
Proceedings of the AI*IA 2009: Emergent Perspectives in Artificial Intelligence, 2009
2008
Using PageRank in Feature Selection.
Proceedings of the Sixteenth Italian Symposium on Advanced Database Systems, 2008
Clustering the Feature Space.
Proceedings of the Sixteenth Italian Symposium on Advanced Database Systems, 2008
Proceedings of the SIAM International Conference on Data Mining, 2008
Proceedings of the International Conference on Language Resources and Evaluation, 2008
Proceedings of the Data Warehousing and Knowledge Discovery, 10th International Conference, 2008