Dino Ienco

Orcid: 0000-0002-8736-3132

Affiliations:
  • Irstea Institute, Montpellier, France


According to our database1, Dino Ienco authored at least 162 papers between 2008 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2025
MARA: A deep learning based framework for multilayer graph simplification.
Neurocomputing, 2025

2024
DyHANE: dynamic heterogeneous attributed network embedding through experience node replay.
Appl. Netw. Sci., December, 2024

Orthrus: multi-scale land cover mapping from satellite image time series via 2D encoding and convolutional neural network.
Neural Comput. Appl., October, 2024

Early Season Forecasting of Corn Yield at Field Level from Multi-Source Satellite Time Series Data.
Remote. Sens., May, 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

DisCoM-KD: Cross-Modal Knowledge Distillation via Disentanglement Representation and Adversarial Learning.
CoRR, 2024

PDiscoFormer: Relaxing Part Discovery Constraints with Vision Transformers.
CoRR, 2024

Towards a multimodal framework for remote sensing image change retrieval and captioning.
CoRR, 2024

Reuse out-of-year data to enhance land cover mapping via feature disentanglement and contrastive learning.
CoRR, 2024

Semi-supervised Heterogeneous Domain Adaptation via Disentanglement and Pseudo-labelling.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Integrating Predictive Process Monitoring Techniques in Smart Agriculture.
Proceedings of the Foundations of Intelligent Systems - 27th International Symposium, 2024

Joint Cloud Removal and Classification of Sentinel-2 Image Time Series for Agricultural Land Cover Mapping in Northern Benin.
Proceedings of the IGARSS 2024, 2024

Aligning Geo-Tagged Clip Representations and Satellite Imagery for Few-Shot Land Use Classification.
Proceedings of the IGARSS 2024, 2024

Country-Scale Mapping of Forest Parameters Using Deep Learning and Tandem-X Insar Data.
Proceedings of the IGARSS 2024, 2024

Rapeseed Fields Mapping Using Sentinel-1 Time Series.
Proceedings of the IGARSS 2024, 2024

Potential of Spectral-Spatial Analysis to Map Forest Tree Dieback Due to Bark Beetle Hotspots in Sentinel-2 Images.
Proceedings of the IGARSS 2024, 2024

Multi-Scale Classification of Sentinel-2 Images for Land Cover Mapping Using Two-Branch Convolutional Neural Network.
Proceedings of the IGARSS 2024, 2024

2023
FairSwiRL: fair semi-supervised classification with representation learning.
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

Deep semi-supervised clustering for multi-variate time-series.
Neurocomputing, 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

Hierarchical Concept Discovery Models: A Concept Pyramid Scheme.
CoRR, 2023

Counterfactual Explanations for Land Cover Mapping in a Multi-class Setting.
CoRR, 2023

A Deep Neural Network Framework for Multivariate Time Series Classification With Positive and Unlabeled Data.
IEEE Access, 2023

Fair Semi-supervised Representation Learning for Tabular Data Classification.
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

Sparse Linear Concept Discovery Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Masking Strategies for Background Bias Removal in Computer Vision Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PDiscoNet: Semantically consistent part discovery for fine-grained recognition.
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

Hierarchical priors for Hyperspherical Prototypical Networks.
Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

2022
VERTIGo: A Visual Platform for Querying and Exploring Large Multilayer Networks.
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

ESA<sup>☆</sup>: A generic framework for semi-supervised inductive learning.
Neurocomputing, 2021

Channel-Based Attention for LCC Using Sentinel-2 Time Series.
CoRR, 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

An Inductive Framework for Semi-supervised Learning (Discussion Paper).
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

Channel-Based Attention for Land Cover Classification using Sentinel-2 Time Series.
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
Enhancing Graph-Based Semisupervised Learning via Knowledge-Aware Data Embedding.
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

Fine grained classification for multi-source land cover mapping.
CoRR, 2020

Weakly Supervised Learning for Land Cover Mapping of Satellite Image Time Series via Attention-Based CNN.
IEEE Access, 2020

Deep Multivariate Time Series Embedding Clustering via Attentive-Gated Autoencoder.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Irrigation Mapping Using Sentinel-1 Time Series.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Supervised Level-Wise Pretraining for Sequential Data Classification.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019
Mapping Irrigated Areas Using Sentinel-1 Time Series in Catalonia, Spain.
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

Towards combining Satellite Imagery and VGI for Urban LULC classification.
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

Améliorer la classification semi-supervisée à base de graphes.
Proceedings of the Extraction et Gestion des connaissances, 2019

Deep Triplet-Driven Semi-supervised Embedding Clustering.
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

Fuzzy extensions of the DBScan clustering algorithm.
Soft Comput., 2018

A Two-Branch CNN Architecture for Land Cover Classification of PAN and MS Imagery.
Remote. Sens., 2018

Deep Recurrent Neural Networks for Winter Vegetation Quality Mapping via Multitemporal SAR Sentinel-1.
IEEE Geosci. Remote. Sens. Lett., 2018

Mining frequent subgraphs in multigraphs.
Inf. Sci., 2018

Object-oriented satellite image time series analysis using a graph-based representation.
Ecol. Informatics, 2018

DuPLO: A DUal view Point deep Learning architecture for time series classificatiOn.
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

Visual querying of large multilayer graphs.
Proceedings of the 30th International Conference on Scientific and Statistical Database Management, 2018

Semi-Supervised Clustering With Multiresolution Autoencoders.
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

Local community detection in multilayer networks.
Data Min. Knowl. Discov., 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

How to deal with multi-source data for tree detection based on deep learning.
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

Leveraging efficient indexing schema to support multigraph query answering.
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

Positive and unlabeled learning in categorical data.
Neurocomputing, 2016

RetweetPatterns: Detection of Spatio-Temporal Patterns of Retweets.
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

Querying RDF Data Using A Multigraph-based Approach.
Proceedings of the 19th International Conference on Extending Database Technology, 2016

MultiLingMine 2016: Modeling, Learning and Mining for Cross/Multilinguality.
Proceedings of the Advances in Information Retrieval, 2016

SuMGra: Querying Multigraphs via Efficient Indexing.
Proceedings of the Database and Expert Systems Applications, 2016

Multilayer graph edge bundling.
Proceedings of the 2016 IEEE Pacific Visualization Symposium, 2016

2015
A quality-aware spatial data warehouse for querying hydroecological data.
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

Twitter Event Detection and Modeling with TEWS.
Proceedings of the ISWC 2015 Posters & Demonstrations Track co-located with the 14th International Semantic Web Conference (ISWC-2015), 2015

Mining Multi-Relational Gradual Patterns.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Layer-Centered Approach for Multigraphs Visualization.
Proceedings of the 19th International Conference on Information Visualisation, 2015

Multilingual Document Classification via Transductive Learning.
Proceedings of the 6th Italian Information Retrieval Workshop, 2015

Towards Linked Data Extraction From Tweets.
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

Hierarchical co-clustering: off-line and incremental approaches.
Data Min. Knowl. Discov., 2014

Change detection in categorical evolving data streams.
Proceedings of the Symposium on Applied Computing, 2014

Contextual Itemset Mining in DBpedia.
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

Clustering View-Segmented Documents via Tensor Modeling.
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

Fuzzy Core DBScan Clustering Algorithm.
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

Détection de changements dans des flots de données qualitatives.
Proceedings of the 14èmes Journées Francophones Extraction et Gestion des Connaissances, 2014

Semantic-Based Multilingual Document Clustering via Tensor Modeling.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2013
Data Mining, A Promising Tool for Large-Area Cropland Mapping.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013

Meme ranking to maximize posts virality in microblogging platforms.
J. Intell. Inf. Syst., 2013

Parameter-less co-clustering for star-structured heterogeneous data.
Data Min. Knowl. Discov., 2013

Mining Representative Movement Patterns through Compression.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Do more views of a graph help? Community detection and clustering in multi-graphs.
Proceedings of the 16th International Conference on Information Fusion, 2013

Clustering Based Active Learning for Evolving Data Streams.
Proceedings of the Discovery Science - 16th International Conference, 2013

Knowledge-Free Table Summarization.
Proceedings of the Data Warehousing and Knowledge Discovery, 2013

2012
From Context to Distance: Learning Dissimilarity for Categorical Data Clustering.
ACM Trans. Knowl. Discov. Data, 2012

LODE: A distance-based classifier built on ensembles of positive and negative observations.
Pattern Recognit., 2012

Towards an automatic construction of Contextual Attribute-Value Taxonomies.
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

Healthcare Trajectory Mining by Combining Multidimensional Component and Itemsets.
Proceedings of the New Frontiers in Mining Complex Patterns - First International Workshop, 2012

How to Extract Relevant Knowledge from Tweets?
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

Mining time relaxed gradual moving object clusters.
Proceedings of the SIGSPATIAL 2012 International Conference on Advances in Geographic Information Systems (formerly known as GIS), 2012

Vers une méthode automatique de construction de hiérarchies contextuelles.
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

French presidential elections: what are the most efficient measures for tweets?
Proceedings of the first edition workshop on Politics, elections and data, 2012

Mining Fuzzy Moving Object Clusters.
Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012

2011
A Modular Database Architecture Enabled to Comparative Sequence Analysis.
Trans. Large Scale Data Knowl. Centered Syst., 2011

Annotated Stochastic Context Free Grammars for Analysis and Synthesis of Proteins.
Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2011

Neural symbolic architecture for normative agents.
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

2010
The Meme Ranking Problem: Maximizing Microblogging Virality.
Proceedings of the ICDMW 2010, 2010

2009
Distance based Clustering for Categorical Data.
Proceedings of the Seventeenth Italian Symposium on Advanced Database Systems, 2009

Parameter-Free Hierarchical Co-clustering by n-Ary Splits.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Context-Based Distance Learning for Categorical Data Clustering.
Proceedings of the Advances in Intelligent Data Analysis VIII, 2009

Ontology-Driven Co-clustering of Gene Expression Data.
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

Exploration and Reduction of the Feature Space by Hierarchical Clustering.
Proceedings of the SIAM International Conference on Data Mining, 2008

Automatic extraction of subcategorization frames for Italian.
Proceedings of the International Conference on Language Resources and Evaluation, 2008

Towards the Automatic Construction of Conceptual Taxonomies.
Proceedings of the Data Warehousing and Knowledge Discovery, 10th International Conference, 2008


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