Dino Ienco

Publications

Article dans une revue (82)

Out-of-year parcel identification using adversarial domain adaptation and multi-temporal satellite imagery to enhance vineyard health monitoring Anna Roussel,Samuel Alleaume,Adrien Billotte,Frédéric Fabre,Dino Ienco International Journal of Digital Earth, 2026, 19 (1), ⟨10.1080/17538947.2026.2634468⟩ Article dans une revue hal-05523426v1
A new framework for measuring community diversity in temporal ecological networks Zakariya Ghalmane,Pascal Poncelet,Roberto Interdonado,Dino Ienco,Pierluigi Carbonaraet al. Ecological Informatics, 2026, pp.103716. ⟨10.1016/j.ecoinf.2026.103716⟩ Article dans une revue hal-05579887v1
A Novel Deep Learning Framework combining optical-SAR Data to Generate Gap-Free 20 M LAI Time Series for Crop Monitoring Juan Li,Dino Ienco,Raffaele Gaetano,Matteo Ciotola,Blanca Mateo-Herreraet al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2026, pp.1-25. ⟨10.1109/JSTARS.2026.3678902⟩ Article dans une revue hal-05575218v1
ULISSE: Parameter-Efficient Adaptation of Earth Vision Models to Monitor Forest Disturbance in Sentinel-2 time series Vito Recchia,Giuseppina Andresini,Annalisa Appice,Dino Ienco,Giuseppe Fiameniet al. Ecological Informatics, 2026, pp.103668. ⟨10.1016/j.ecoinf.2026.103668⟩ Article dans une revue hal-05527574v1
TimeSenCLIP: A time series vision–language model for remote sensing Pallavi Jain,Diego Marcos,Dino Ienco,Roberto Interdonato,Tristan Berchoux ISPRS Journal of Photogrammetry and Remote Sensing, 2026, 236, pp.99-119. ⟨10.1016/j.isprsjprs.2026.03.043⟩ Article dans une revue hal-05575004v1
Multi-modal co-learning for Earth observation: enhancing single-modality models via modality collaboration Francisco Mena,Dino Ienco,Cassio F Dantas,Roberto Interdonato,Andreas Dengel Machine Learning, 2025, 114 (12), pp.279. ⟨10.1007/s10994-025-06903-0⟩ Article dans une revue hal-05326486v1
Geographical Context Matters: Bridging Fine and Coarse Spatial Information to Enhance Continental Land Cover Mapping Babak Ghassemi,Cássio Fraga Dantas,Raffaele Gaetano,Dino Ienco,Omid Ghorbanzadehet al. Science of Remote Sensing, 2025, 12, 39 p. ⟨10.1016/j.srs.2025.100315⟩ Article dans une revue hal-05319081v1
Multi-sensor Model for Earth Observation Robust to Missing Data via Sensor Dropout and Mutual Distillation Francisco Mena,Dino Ienco,Cássio Dantas,Roberto Interdonato,Andreas Dengel IEEE Access, 2025, 13, pp.83930-83943. ⟨10.1109/ACCESS.2025.3568706⟩ Article dans une revue hal-05063111v1
Rapeseed mapping using machine learning methods and Sentinel-1 time series coupled with growing degree-days information Sami Najem,Nicolas Baghdadi,Ya Gao,Hassan Bazzi,Saeideh Malekiet al. Science of Remote Sensing, 2025, 11, pp.100244. ⟨10.1016/j.srs.2025.100244⟩ Article dans une revue hal-05113091v1
Environmental and bioclimatic data for epidemiological analysis over French Mediterranean areas Camille Portes,Dino Ienco,Eric Verdin,Edith Gabriel Environmental Data Science, 2025, 3, pp.e31. ⟨10.1017/eds.2024.50⟩ Article dans une revue hal-04881001v1
MARA : a deep learning based framework for multilayer graph simplification Cheick Tidiane Ba,Roberto Interdonato,Dino Ienco,Sabrina Gaito Neurocomputing, 2025, 612, pp.128712. ⟨10.1016/j.neucom.2024.128712⟩ Article dans une revue hal-04740726v1
SAHARA: Heterogeneous Semi-Supervised Transfer Learning with Adversarial Adaptation and Dynamic Pseudo-Labeling Giuseppe Guarino,Cássio F Dantas,Dino Ienco,Raffaele Gaetano,Gemine Vivoneet al. IEEE Geoscience and Remote Sensing Letters, 2025, 23, 13 p. ⟨10.1109/LGRS.2025.3635269⟩ Article dans une revue hal-05370697v1
Sentinel-1 (S1) time series alignment method for rapeseed fields mapping Saeideh Maleki,Nicolas Baghdadi,Sami Najem,Cassio Fraga Dantas,Dino Iencoet al. Frontiers in Remote Sensing, 2025, 5, pp.1483295. ⟨10.3389/frsen.2024.1483295⟩ Article dans une revue hal-04955663v1
Assessing habitat suitability for black grouse broods at the bioregional scale Alexandre Tm Defossez,Samuel Alleaume,Marc Montadert,Josselin Giffard-Carlet,Dino Iencoet al. Wildlife Biology, In press, ⟨10.1002/wlb3.01425⟩ Article dans une revue hal-05168858v1
Generation of country-scale canopy height maps over Gabon using deep learning and TanDEM-X InSAR data Daniel Carcereri,Paola Rizzoli,Luca Dell’amore,José-Luis Bueso-Bello,Dino Iencoet al. Remote Sensing of Environment, 2024, 311, pp.114270. ⟨10.1016/j.rse.2024.114270⟩ Article dans une revue hal-04629344v1
Determining Effective Temporal Windows for Rapeseed Detection Using Sentinel-1 Time Series and Machine Learning Algorithms Saeideh Maleki,Nicolas Baghdadi,Sami Najem,Cassio F. Dantas,Hassan Bazziet al. Remote Sensing, 2024, 16 (3), pp.549. ⟨10.3390/rs16030549⟩ Article dans une revue hal-04476131v1
Early Season Forecasting of Corn Yield at Field Level from Multi-Source Satellite Time Series Data Johann Desloires,Dino Ienco,Antoine Botrel Remote Sensing, 2024, 16 (9), pp.1573. ⟨10.3390/rs16091573⟩ Article dans une revue hal-04565081v1
DIAMANTE: A data-centric semantic segmentation approach to map tree dieback induced by bark beetle infestations via satellite images Giuseppina Andresini,Annalisa Appice,Dino Ienco,Vito Recchia Journal of Intelligent Information Systems, 2024, 62, pp.1531-1558. ⟨10.1007/s10844-024-00877-6⟩ Article dans une revue hal-04687503v1
A constrastive semi-supervised deep learning framework for land cover classification of satellite time series with limited labels Dino Ienco,Raffaele Gaetano,Roberto Interdonato Neurocomputing, 2024, 567, pp.127031. ⟨10.1016/j.neucom.2023.127031⟩ Article dans une revue hal-04476130v1
Multi-source deep-learning approach for automatic geomorphological mapping: the case of glacial moraines Isabelle Rocamora,Dino Ienco,Matthieu Ferry Geo-spatial Information Science, 2024, 16, pp.1-20. ⟨10.1080/10095020.2023.2292587⟩ Article dans une revue hal-04476128v1
Machine Learning-Based Summer Crops Mapping Using Sentinel-1 and Sentinel-2 Images Saeideh Maleki,Nicolas Baghdadi,Hassan Bazzi,Cassio Fraga Dantas,Dino Iencoet al. Remote Sensing, 2024, 16 (23), pp.4548. ⟨10.3390/rs16234548⟩ Article dans une revue hal-04823571v1
DyHANE: dynamic heterogeneous attributed network embedding through experience node replay Liliana Martirano,Dino Ienco,Roberto Interdonato,Andrea Tagarelli Applied Network Science, 2024, 9 (1), pp.30. ⟨10.1007/s41109-024-00633-3⟩ Article dans une revue hal-04636945v1
Reuse out-of-year data to enhance land cover mapping via feature disentanglement and contrastive learning Cassio F. Dantas,Raffaele Gaetano,Claudia Paris,Dino Ienco IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024, 18, pp.1681-1694. ⟨10.1109/JSTARS.2024.3503756⟩ Article dans une revue hal-04547452v1
Orthrus: multi-scale land cover mapping from satellite image time series via 2D encoding and convolutional neural network Azza Abidi,Dino Ienco,A. Ben Abbes,Imed Riadh Farah Neural Computing and Applications, 2024, 36, pp.19247-19265. ⟨10.1007/s00521-024-10186-2⟩ Article dans une revue hal-04667209v1
Explaining the decisions and the functioning of a convolutional spatiotemporal land cover classifier with channel attention and redescription mining Enzo Pelous,Nicolas Méger,Alexandre Benoit,Abdourrahmane Atto,Dino Iencoet al. ISPRS Journal of Photogrammetry and Remote Sensing, 2024, 215, pp.256-270. ⟨10.1016/j.isprsjprs.2024.06.021⟩ Article dans une revue hal-04650672v1
Combining 2D encoding and convolutional neural network to enhance land cover mapping from Satellite Image Time Series Azza Abidi,Dino Ienco,Ali Ben Abbes,Imed Riadh Farah Engineering Applications of Artificial Intelligence, 2023, 122, pp.106152. ⟨10.1016/j.engappai.2023.106152⟩ Article dans une revue hal-04061345v1
Temporal-Domain Adaptation for Satellite Image Time-Series Land-Cover Mapping With Adversarial Learning and Spatially Aware Self-Training Emmanuel Capliez,Dino Ienco,Raffaele Gaetano,Nicolas Baghdadi,Adrien Hadj Salah IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023, 16, pp.3645 - 3675. ⟨10.1109/jstars.2023.3263755⟩ Article dans une revue hal-04097327v1
Artificial Intelligence Algorithms for Rapeseed Fields Mapping using Sentinel-1 Time Series: Temporal Transfer Scenario and Ground Sampling Constraints Saeideh Maleki,Nicolas Baghdadi,Cassio F. Dantas,Sami Najem,Hassan Bazziet al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023, 16, pp.8884-8899. ⟨10.1109/JSTARS.2023.3316304⟩ Article dans une revue hal-04184447v1
Out-of-year corn yield prediction at field-scale using Sentinel-2 satellite imagery and machine learning methods Johann Desloires,Dino Ienco,Antoine Botrel Computers and Electronics in Agriculture, 2023, 209, pp.107807. ⟨10.1016/j.compag.2023.107807⟩ Article dans une revue hal-04087506v1
SENECA: Change detection in optical imagery using Siamese networks with Active-Transfer Learning Giuseppina Andresini,Annalisa Appice,Dino Ienco,Donato Malerba Expert Systems with Applications, 2023, 214, pp.119123. ⟨10.1016/j.eswa.2022.119123⟩ Article dans une revue hal-03882272v1
Enhancing forest attribute prediction by considering terrain and scan angles from lidar point clouds: A neural network approach Karun R Dayal,Sylvie Durrieu,Kamel Lahssini,Dino Ienco,Jean-Matthieu Monnet IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023, 16, pp.3531-3544. ⟨10.1109/jstars.2023.3263595⟩ Article dans une revue hal-04419960v2
A Deep Neural Network Framework for Multivariate Time Series Classification With Positive and Unlabeled Data Dino Ienco IEEE Access, 2023, 11, pp.20877-20884. ⟨10.1109/ACCESS.2023.3251194⟩ Article dans une revue hal-04052508v1
Multisensor temporal unsupervised domain adaptation for land cover mapping with spatial pseudo-labeling and adversarial learning Emmanuel Capliez,Dino Ienco,Raffaele Gaetano,Nicolas Baghdadi,Adrien Hadj Salahet al. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61, pp.5405716. ⟨10.1109/TGRS.2023.3297077⟩ Article dans une revue hal-05181753v1
Dealing with multipositive unlabeled learning combining metric learning and deep clustering Amedeo Racanati,Roberto Esposito,Dino Ienco IEEE Access, 2022, 10, pp.51839 - 51849. ⟨10.1109/ACCESS.2022.3174590⟩ Article dans une revue hal-03685581v1
Combining LiDAR Metrics and Sentinel-2 Imagery to Estimate Basal Area and Wood Volume in Complex Forest Environment via Neural Networks Kamel Lahssini,Florian Teste,Karun Reuel Dayal,Sylvie Durrieu,Dino Iencoet al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, 15, pp.4337-4348. ⟨10.1109/JSTARS.2022.3175609⟩ Article dans une revue hal-03702643v1
VERTIGo: A Visual Platform for Querying and Exploring Large Multilayer Networks Erick Cuenca,Arnaud Sallaberry,Dino Ienco,Pascal Poncelet IEEE Transactions on Visualization and Computer Graphics, 2022, 28 (3), pp.1634-1647. ⟨10.1109/TVCG.2021.3067820⟩ Article dans une revue lirmm-03738618v1
Sentinel-2 images to assess soil surface characteristics over a rainfed Mediterranean cropping system Cécile Gomez,Maman Sani Aboubacar,Dino Ienco,Denis Feurer,Zakia Jenhaouiet al. CATENA, 2022, 213, pp.#106152. ⟨10.1016/j.catena.2022.106152⟩ Article dans une revue hal-03604497v1
Positive Unlabelled Learning for Satellite Images’Time Series Analysis: An Application to Cereal and Forest Mapping Johann Desloires,Dino Ienco,Antoine Botrel,Nicolas Ranc Remote Sensing, 2022, 14 (1), pp.140. ⟨10.3390/rs14010140⟩ Article dans une revue hal-03540913v1
Combining pixel- and object-level information for land-cover mapping using time-series of Sentinel-2 satellite data Azza Abidi,Imed Riadh Farah,Yawogan Jean Eudes Gbodjo,Dino Ienco,I. Farah Remote Sensing Letters, 2022, 13 (2), pp.162-172. ⟨10.1080/2150704X.2021.2001071⟩ Article dans une revue hal-03574637v1
Benchmarking statistical modelling approaches with multi-source remote sensing data for millet yield monitoring: a case study of the groundnut basin in central Senegal Yawogan Jean Eudes Gbodjo,Dino Ienco,Louise Leroux International Journal of Remote Sensing, 2021, 42 (24), pp.9285-9308. ⟨10.1080/01431161.2021.1993465⟩ Article dans une revue hal-03666002v1
Multisensor Land Cover Classification With Sparsely Annotated Data Based on Convolutional Neural Networks and Self-Distillation Yawogan Jean Eudes Gbodjo,Olivier Montet,Dino Ienco,Raffaele Gaetano,Stephane Dupuy IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 14, pp.11485-11499. ⟨10.1109/JSTARS.2021.3119191⟩ Article dans une revue hal-03599925v1
A CNN-based approach for the estimation of canopy heights and wood volume from GEDI waveforms Ibrahim Fayad,Dino Ienco,Nicolas Baghdadi,Raffaele Gaetano,Clayton Alcarde Alvareset al. Remote Sensing of Environment, 2021, 265, 16 p. ⟨10.1016/j.rse.2021.112652⟩ Article dans une revue hal-03335248v1
ESA☆: A generic framework for semi-supervised inductive learning Shuyi Yang,Dino Ienco,Roberto Esposito,Ruggero Pensa Neurocomputing, 2021, 447, pp.102-117. ⟨10.1016/j.neucom.2021.03.051⟩ Article dans une revue hal-03204391v1
Attentive spatial temporal graph CNN for land cover mapping from multi temporal remote sensing data Alessandro Michele Censi,Dino Ienco,Yawogan Jean Eudes Gbodjo,Ruggero Gaetano Pensa,Roberto Interdonatoet al. IEEE Access, 2021, 9, pp.23070-23082. ⟨10.1109/ACCESS.2021.3055554⟩ Article dans une revue hal-03144053v1
Unsupervised Change Detection Analysis in Satellite Image Time Series using Deep Learning Combined with Graph-Based Approaches Ekaterina Kalinicheva,Dino Ienco,Jérémie Sublime,Maria Trocan IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, 13, pp.1450-1466. ⟨10.1109/JSTARS.2020.2982631⟩ Article dans une revue hal-02749683v1
Toward spatio-spectral analysis of sentinel-2 time series data for land cover mapping Yawogan Jean Eudes Gbodjo,Dino Ienco,Louise Leroux IEEE Geoscience and Remote Sensing Letters, 2020, 17 (2), pp.307-311. ⟨10.1109/LGRS.2019.2917788⟩ Article dans une revue hal-02950334v1
Enhancing graph-based semi-supervised learning via knowledge-aware data embedding Dino Ienco,Ruggero Pensa IEEE Transactions on Neural Networks and Learning Systems, 2020, 31 (11), pp.5014-5020. ⟨10.1109/TNNLS.2019.2955565⟩ Article dans une revue hal-02931060v1
Deep convolutional neural networks to monitor coralligenous reefs: Operationalizing biodiversity and ecological assessment Guilhem Marre,Cedric de Almeida Braga,Dino Ienco,Sandra Luque,Florian Holonet al. Ecological Informatics, 2020, 59, pp.101110. ⟨10.1016/j.ecoinf.2020.101110⟩ Article dans une revue hal-02924709v1
Weakly Supervised learning for land cover mapping of satellite image time series via attention-based CNN Dino Ienco,Raffaele Gaetano,Yawogan Jean Eudes Gbodjo,Roberto Interdonato IEEE Access, 2020, 8, pp.179547 - 179560. ⟨10.1109/ACCESS.2020.3024133⟩ Article dans une revue hal-02941804v1
Object-based multi-temporal and multi-source land cover mapping leveraging hierarchical class relationships Yawogan Jean Eudes Gbodjo,Dino Ienco,Louise Leroux,Roberto Interdonato,Raffaele Gaetanoet al. Remote Sensing, 2020, 12 (17), ⟨10.3390/rs12172814⟩ Article dans une revue hal-02931049v1
Distilling Before Refine: Spatio-Temporal Transfer Learning for Mapping Irrigated Areas Using Sentinel-1 Time Series Hassan Bazzi,Dino Ienco,Nicolas Baghdadi,Mehrez Zribi,Valérie Demarez IEEE Geoscience and Remote Sensing Letters, 2020, 17 (11), pp.1909-1913. ⟨10.1109/LGRS.2019.2960625⟩ Article dans une revue hal-04610578v1
Detection of spatio-temporal evolutions on multi-annual satellite image time series: A clustering based approach Lynda Khiali,Mamoudou Ndiath,Samuel Alleaume,Dino Ienco,Kenji Oseet al. International Journal of Applied Earth Observation and Geoinformation, 2019, 74, pp.103-119. ⟨10.1016/j.jag.2018.07.014⟩ Article dans une revue hal-01931475v1
Mapping irrigated areas using Sentinel-1 Time series in Catalonia, Spain Hassan Bazzi,Nicolas Baghdadi,Dino Ienco,Mohammad El Hajj,Mehrez Zribiet al. Remote Sensing, 2019, 11 (15), pp.1836. ⟨10.3390/rs11151836⟩ Article dans une revue hal-02609618v1
DuPLO: A DUal view Point deep Learning architecture for time series classificatiOn Roberto Interdonato,Dino Ienco,Raffaele Gaetano,Kenji Ose ISPRS Journal of Photogrammetry and Remote Sensing, 2019, 149, pp.91-104. ⟨10.1016/j.isprsjprs.2019.01.011⟩ Article dans une revue lirmm-02011262v1
Combining Sentinel-1 and Sentinel-2 Satellite Image Time Series for land cover mapping via a multi-source deep learning architecture Dino Ienco,Roberto Interdonato,Raffaele Gaetano,Dinh Ho Tong Minh ISPRS Journal of Photogrammetry and Remote Sensing, 2019, 158, pp.11-22. ⟨10.1016/j.isprsjprs.2019.09.016⟩ Article dans une revue hal-02609707v1
Assessment of congruence between co-occurrence and functional networks: A new framework for revealing community assembly rules Gaëlle Legras,Nicolas Loiseau,Jean-Claude Gaertner,Jean-Christophe Poggiale,Dino Iencoet al. Scientific Reports, 2019, 9 (1), pp.19996. ⟨10.1038/s41598-019-56515-7⟩ Article dans une revue hal-02434228v1
A Two-Branch CNN Architecture for Land Cover Classification of PAN and MS Imagery Raffaele Gaetano,Dino Ienco,Kenji Ose,Rémi Cresson Remote Sensing, 2018, 10 (11), pp.1746. ⟨10.3390/rs10111746⟩ Article dans une revue hal-01931435v1
Object-oriented satellite image time series analysis using a graph-based representation Lynda Khiali,Dino Ienco,Maguelonne Teisseire Ecological Informatics, 2018, 43, pp.52-64. ⟨10.1016/j.ecoinf.2017.11.003⟩ Article dans une revue hal-01741613v1
&lt;formula&gt; &lt;tex&gt;$M^3\text{Fusion}$&lt;/tex&gt; &lt;/formula&gt;: A Deep Learning Architecture for Multiscale Multimodal Multitemporal Satellite Data Fusion Paola Benedetti,Dino Ienco,Raffaele Gaetano,Kenji Ose,Ruggero G. Pensaet al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11 (12), pp.4939-4949. ⟨10.1109/JSTARS.2018.2876357⟩ Article dans une revue hal-01931466v1
Fuzzy extensions of the DBScan clustering algorithm Dino Ienco,Gloria Bordogna Soft Computing, 2018, Methodologies and Application, 22 (5), pp.1719-1730. ⟨10.1007/s00500-016-2435-0⟩ Article dans une revue lirmm-01399605v1
Deep Recurrent Neural Networks for Winter Vegetation Quality Mapping via Multitemporal SAR Sentinel-1 Dinh Ho Tong Minh,Dino Ienco,Raffaele Gaetano,Nathalie Lalande,Emile Ndikumanaet al. IEEE Geoscience and Remote Sensing Letters, 2018, 15 (3), pp.464-468. ⟨10.1109/LGRS.2018.2794581⟩ Article dans une revue hal-01931485v1
APPLICATION OF DEEP LEARNING OF MULTI-TEMPORAL SENTINEL-1 IMAGES FOR THE CLASSIFICATION OF COASTAL VEGETATION ZONE OF THE DANUBE DELTA Simona Niculescu,Dino Ienco,Jenica Hanganu ISPRS International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018, XLII-3, pp.1311-1318. ⟨10.5194/isprs-archives-XLII-3-1311-2018⟩ Article dans une revue hal-01793835v1
Mining Frequent Subgraphs in Multigraphs Vijay Ingalalli,Dino Ienco,Pascal Poncelet Information Sciences, 2018, 451-452, pp.50-66. ⟨10.1016/j.ins.2018.04.001⟩ Article dans une revue lirmm-01761235v1
Land Cover Classification via Multitemporal Spatial Data by Deep Recurrent Neural Networks Dino Ienco,Raffaele Gaetano,Claire Dupaquier,Pierre Maurel IEEE Geoscience and Remote Sensing Letters, 2017, 14 (10), pp.1685-1689. ⟨10.1109/LGRS.2017.2728698⟩ Article dans une revue hal-01931486v1
Local Community Detection in Multilayer Networks Roberto Interdonato,Andrea Tagarelli,Dino Ienco,Arnaud Sallaberry,Pascal Poncelet Data Mining and Knowledge Discovery, 2017, ECML PKDD Conference 2017, 31 (5), pp.1444-1479. ⟨10.1007/s10618-017-0525-y⟩ Article dans une revue lirmm-01705312v1
A graph-based approach to detect spatiotemporal dynamics in satellite image time series Fabio N. Güttler,Dino Ienco,Jordi Nin,Maguelonne Teisseire,Pascal Poncelet ISPRS Journal of Photogrammetry and Remote Sensing, 2017, 130, pp.92-107. ⟨10.1016/j.isprsjprs.2017.05.013⟩ Article dans une revue lirmm-01541930v1
A Semi-Supervised Approach to the Detection and Characterization of Outliers in Categorical Data Dino Ienco,Ruggero Pensa,Rosa Meo IEEE Transactions on Neural Networks and Learning Systems, 2017, 28 (5), pp.1017-1029. ⟨10.1109/TNNLS.2016.2526063⟩ Article dans une revue lirmm-01275509v1
MultiLingMine 2016 - modeling, learning and mining for cross/multilinguality: proceedings of the first workshop on modeling, learning and mining for cross/multilinguality Dino Ienco,M. Roche,S. Romeo,P. Rosso,A. Tagarelli Sigir Forum, 2016, 50 (2), pp.89-95 Article dans une revue hal-02605238v1
Combining transductive and active learning to improve object-based classification of remote sensing images Fábio Nór Güttler,Dino Ienco,Pascal Poncelet,Maguelonne Teisseire Remote Sensing Letters, 2016, 7 (4), pp.358-367. ⟨10.1080/2150704X.2016.1142678⟩ Article dans une revue lirmm-01275515v1
Positive and unlabeled learning in categorical data Dino Ienco,Ruggero G. Pensa Neurocomputing, 2016, 196 (july), pp.113 - 124. ⟨10.1016/j.neucom.2016.01.089⟩ Article dans une revue hal-01374450v1
User-driven geo-temporal density-based exploration of periodic and not periodic events reported in social networks Paolo Arcaini,Gloria Bordogna,Dino Ienco,Simone Sterlacchini Information Sciences, 2016, 340, pp.122-143. ⟨10.1016/j.ins.2016.01.014⟩ Article dans une revue lirmm-01275619v1
Leveraging efficient indexing schema to support multigraph query answering Dino Ienco,Vijay Ingalalli,Pascal Poncelet Revue des Sciences et Technologies de l'Information - Série ISI : Ingénierie des Systèmes d'Information, 2016, 21 (3), pp.53-74. ⟨10.3166/isi.21.3.53-74⟩ Article dans une revue lirmm-01399606v1
A quality-aware spatial data warehouse for querying hydroecological data Soumia Lilia Berrahou,Nathalie Lalande,Eva Serrano,Guilhem Molla,Laure Berti-Équilleet al. Computers & Geosciences, 2015, 85 (part A), pp.126 - 135. ⟨10.1016/j.cageo.2015.09.012⟩ Article dans une revue hal-01223918v1
Spatio-temporal data classification through multidimensional sequential patterns: Application to crop mapping in complex landscape Yoann Pitarch,Dino Ienco,Elodie Vintrou,Agnès Bégué,Anne Laurentet al. Engineering Applications of Artificial Intelligence, 2015, 37, pp.91-102. ⟨10.1016/j.engappai.2014.09.001⟩ Article dans une revue lirmm-01239175v1
Clustering view-segmented documents via tensor modeling S. Romeo,A. Tagarelli,Dino Ienco Lecture Notes in Computer Science, 2014, 8502, pp.385-394. ⟨10.1007/978-3-319-08326-1_39⟩ Article dans une revue hal-02600409v1
Animitex : Analyse d'Images fondée sur des Informations Textuelles Mathieu Roche,Maguelonne Teisseire,Bruno Crémilleux,Pierre Gancarski,Christian Sallaberryet al. Revue des Sciences et Technologies de l'Information - Série ISI : Ingénierie des Systèmes d'Information, 2014, 19 (3), pp.163-167. ⟨10.3199/ISI.18.1.1⟩ Article dans une revue lirmm-01054924v1
A contribution to the discovery of multidimensional patterns in healthcare trajectories Elias Egho,Nicolas Jay,Chedy Raïssi,Dino Ienco,Pascal Ponceletet al. Journal of Intelligent Information Systems, 2014, 42 (2), pp.283 - 305. ⟨10.1007/s10844-014-0309-4⟩ Article dans une revue hal-01094377v1
Hierarchical Co-Clustering: Off-line and Incremental Approaches Ruggero Pensa,Dino Ienco,Rosa Meo Data Mining and Knowledge Discovery, 2014, 28 (1), pp.31-64. ⟨10.1007/s10618-012-0292-8⟩ Article dans une revue lirmm-00798161v1
Data Mining, a promising tool for large-area cropland mapping E. Vintrou,Dino Ienco,Agnès Bégué,Maguelonne Teisseire IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2013, 6 (5), pp.2132-2138. ⟨10.1109/JSTARS.2013.2238507⟩ Article dans une revue hal-02598479v1
Parameter-less co-clustering for star-structured heterogeneous data Dino Ienco,Céline Robardet,Ruggero G. Pensa,Rosa Meo Data Mining and Knowledge Discovery, 2013, 26 (2), pp.217-254. ⟨10.1007/s10618-012-0248-z⟩ Article dans une revue hal-00794744v1
The Meme Ranking Problem: Maximizing Microblogging Virality Francesco Bonchi,Carlos Castillo,Dino Ienco Journal of Intelligent Information Systems, 2013, 40 (2), pp.211-239. ⟨10.1007/s10844-011-0181-4⟩ Article dans une revue istex lirmm-00798080v1
LODE: A distance-based classifier built on ensembles of positive and negative observations Rosa Meo,Dipankar Bachar,Dino Ienco Pattern Recognition, 2012, 45 (4), pp.1409-1425. ⟨10.1016/j.patcog.2011.10.015⟩ Article dans une revue hal-00675583v1

Communication dans un congrès (91)

Two-stage Vision Transformers and Hard Masking offer Robust Object Representations Ananthu Aniraj,Cassio F Dantas,Dino Ienco,Diego Marcos ICPR 2026 - International Conference on Pattern Recognition, Aug 2026, Lyon, France Communication dans un congrès hal-05579939v1
ProMM-RS : Exploration de l'apprentissage probabiliste pour les représentations multi-modales d'images de télédétection Nicolas Houdré,Sylvain Lobry,Diego Marcos,Dino Ienco,Laurent Wendlinget al. ORASIS 2025 - 20ème Journées francophones des jeunes chercheurs en vision par ordinateur, ISEN Yncréa Ouest, Jun 2025, Le Croisic, France Communication dans un congrès hal-05131278v1
Towards a Multimodal Framework for Remote Sensing Image Change Retrieval and Captioning Roger Ferrod,Luigi Di Caro,Dino Ienco 27. International Conference on Discovery Science, Oct 2024, Pisa, Italy. pp.231-245, ⟨10.1007/978-3-031-78980-9_15⟩ Communication dans un congrès hal-05050679v1
PDiscoFormer: Relaxing Part Discovery Constraints with Vision Transformers Ananthu Aniraj,Cassio F. Dantas,Dino Ienco,Diego Marcos ECCV 2024 - 18th European Conference on Computer Vision, Sep 2024, Milano, Italy. pp.256-272, ⟨10.1007/978-3-031-73013-9_15⟩ Communication dans un congrès hal-04659631v1
ProMM-RS: Exploring Probabilistic Learning for Multi-Modal Remote Sensing Image Representations Nicolas Houdré,Diego Marcos,Dino Ienco,Laurent Wendling,Camille Kurtzet al. 2025 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), Feb 2025, Tucson, United States. pp.517-525, ⟨10.1109/WACVW65960.2025.00063⟩ Communication dans un congrès hal-05216109v1
Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation Roger Ferrod,Cássio F Dantas,Luigi Di Caro,Dino Ienco European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML_PKDD), Sep 2025, Porto, Portugal Communication dans un congrès hal-05091733v1
SenCLIP: Enhancing zero-shot land-use mapping for Sentinel-2 with ground-level prompting Pallavi Jain,Dino Ienco,Roberto Interdonato,Tristan Berchoux,Diego Marcos 2025 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), Feb 2025, Tucson, United States. pp.13, ⟨10.1109/WACV61041.2025.00552⟩ Communication dans un congrès hal-04971161v1
Transfer Land Cover Maps Across Years: A Time Series-based Semantic Segmentation Approach Christopher Jabea,Roberto Interdonato,Cassio F Dantas,Dino Ienco,Flavie Cernessonet al. JURSE 2025 - Joint Urban Remote Sensing Event, May 2025, Tunis, Tunisia. ⟨10.1109/JURSE60372.2025.11076059⟩ Communication dans un congrès hal-05167526v1
Rapeseed Fields Mapping Using Sentinel-1 Time Series Nicolas Baghdadi,Saeideh Maleki,Cassio F. Dantas,Sami Najem,Hassan Bazziet al. IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Jul 2024, Athènes, Greece. pp.4836-4840, ⟨10.1109/IGARSS53475.2024.10642836⟩ Communication dans un congrès hal-04979582v1
Joint Cloud Removal and Classification of Sentinel-2 Image Time Series for Agricultural Land Cover Mapping in Northern Benin S. Bio Nikki Sarè,Raffaele Gaetano,Roberto Interdonato,Y. Hountondji,Dino Iencoet al. IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS, Jul 2024, Athènes, Greece. pp.4824-4827, ⟨10.1109/IGARSS53475.2024.10641427⟩ Communication dans un congrès hal-04979522v1
Semi Supervised Heterogeneous Domain Adaptation via Disentanglement and Pseudo-Labelling Cassio F. Dantas,Raffaele Gaetano,Dino Ienco ECML PKDD 2024 - European Conference on Machine Learning and Knowledge Discovery in Databases, Sep 2024, Vilnius, Lithuania. pp.440-456, ⟨10.1007/978-3-031-70352-2_26⟩ Communication dans un congrès hal-04617917v1
Country-Scale Mapping Of Forest Parameters Using Deep Learning And Tandem-X Insar Data Daniel Carcereri,Paola Rizzoli,Luca Dell’amore,Jose-Luis Bueso-Bello,Dino Iencoet al. IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Jul 2024, Athènes, Greece. pp.2279-2284, ⟨10.1109/IGARSS53475.2024.10641186⟩ Communication dans un congrès hal-05186460v1
Integrating Predictive Process Monitoring Techniques in Smart Agriculture Simona Fioretto,Dino Ienco,Roberto Interdonato,Elio Masciari ISMIS 2024 - 27. International symposium on methodologies for intelligent systems, Jun 2024, Poitiers, France. pp.306-313, ⟨10.1007/978-3-031-62700-2_27⟩ Communication dans un congrès hal-04619543v1
Potential of Spectral-Spatial Analysis to Map Forest Tree Dieback Due to Bark Beetle Hotspots in Sentinel-2 Images Giuseppina Andresini,Annalisa Appice,Dino Ienco,Donato Malerba,Vito Recchia IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Jul 2024, Athènes, Greece. pp.5227-5230, ⟨10.1109/IGARSS53475.2024.10641479⟩ Communication dans un congrès hal-05225788v1
DisCoM-KD: Cross-Modal Knowledge Distillation via Disentanglement Representation and Adversarial Learning Dino Ienco,Cassio Fraga Dantas 35. British Machine Vision Conference (BMVC 2024), Nov 2024, Glasgow, United Kingdom Communication dans un congrès hal-04666307v1
Coarse-to-Fine Concept Bottleneck Models Konstantinos P. Panousis,Dino Ienco,Diego Marcos 38. Conference on Neural Information Processing Systems, NeurIPS 2024, Dec 2024, Vancouver, Canada. 20 p Communication dans un congrès hal-04709806v1
Aligning Geo-Tagged Clip Representations and Satellite Imagery for Few-Shot Land Use Classification Pallavi Jain,Diego Marcos,Dino Ienco,Roberto Interdonato,Aayush Dhakalet al. IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Jul 2024, Athènes, Greece. pp.319-323, ⟨10.1109/IGARSS53475.2024.10641235⟩ Communication dans un congrès hal-04979630v1
Counterfactual Explanations for Remote Sensing Time Series Data: an Application to Land Cover Classification Cassio F. Dantas,Thalita F Drumond,Diego Marcos,Dino Ienco ECML PKDD: Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Sep 2023, Torino, Italy. p. 20-36, ⟨10.1007/978-3-031-43430-3_2⟩ Communication dans un congrès hal-04189631v1
Encodage 2D de séries temporelles d'imagerie satellitaires pour l'amélioration Azza Abidi,Dino Ienco,A. Ben Abbes,Imed Riadh Farah TAIMA 2023 - 12. Traitement et Analyse de l'Information : Méthodes et Applications, May 2023, Hammamet, Tunisie. 11 p Communication dans un congrès hal-04689663v1
Masking Strategies for Background Bias Removal in Computer Vision Models Ananthu Aniraj,Cassio F. Dantas,Dino Ienco,Diego Marcos ICCV 2023 - International Conference on Computer Vision, Oct 2023, Paris, France. pp.4399-4407, ⟨10.1109/ICCVW60793.2023.00474⟩ Communication dans un congrès hal-04184449v1
PDiscoNet: Semantically consistent part discovery for fine-grained recognition Robert van der Klis,Stephan Alaniz,Massimiliano Mancini,Cassio F. Dantas,Dino Iencoet al. ICCV 2023 - International Conference on Computer Vision, Oct 2023, Paris, France. pp.1866-1876, ⟨10.1109/ICCV51070.2023.00179⟩ Communication dans un congrès hal-04183747v1
Sparse Linear Concept Discovery Models Konstantinos Panousis,Dino Ienco,Diego Marcos ICCV 2023 - International Conference on Computer Vision, IEEE, Oct 2023, Paris, France. pp.2759-2763, ⟨10.1109/ICCVW60793.2023.00292⟩ Communication dans un congrès hal-04532065v1
Modeling the breeding habitat of the Black Grouse from remote sensing data Samuel Alleaume,Alexandre Defossez,Marc Montadert,Mairi Souza Oliveira,Dino Iencoet al. 11. IALE World Congress, International Association for Landscape Ecology (IALE), Jul 2023, Nairobi, Kenya Communication dans un congrès hal-04589682v1
Apprentissage profond multi-sources pour la cartographie des moraines glaciaires - Multi-source Deep Learning for Glacial Moraine Mapping Isabelle Rocamora,Dino Ienco,Matthieu Ferry ORASIS 2023, Laboratoire LIS, UMR 7020, May 2023, Carqueiranne, France Communication dans un congrès hal-04219305v1
Dealing with missing modalities at test time for land cover mapping: A case study on multi-source optical data Yawogan Jean Eudes Gbodjo,Dino Ienco 2022 IEEE 21. Mediterranean Electrotechnical Conference (MELECON), Jun 2022, Palermo, France. pp.621-626, ⟨10.1109/MELECON53508.2022.9842865⟩ Communication dans un congrès hal-03760307v1
Combine Histogram Matching and Domain Adaptation to Cope with Temporal Transfer Learning for the Semantic Segmentation of VHR Images Dino Ienco,K. Ose IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, Jul 2022, Kuala Lumpur, Malaysia. pp.409-412, ⟨10.1109/IGARSS46834.2022.9883611⟩ Communication dans un congrès hal-03838011v1
Unsupervised Domain Adaptation Methods for Land Cover Mapping with Optical Satellite Image Time Series E. Capliez,Dino Ienco,Raffaele Gaetano,Nicolas Baghdadi,A. Hadj Salah IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, Jul 2022, Kuala Lumpur, Malaysia. pp.275-278, ⟨10.1109/IGARSS46834.2022.9884094⟩ Communication dans un congrès hal-03836642v1
Estimating Forest Heights and Wood Volume using a Deep Learning Approach from Gedi Waveform Data Ibrahim Fayad,Dino Ienco,Nicolas Baghdadi,Raffaele Gaetano,Clayton Alcarde Alvareset al. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, Jul 2022, Kuala Lumpur, Malaysia. pp.7301-7304, ⟨10.1109/IGARSS46834.2022.9883973⟩ Communication dans un congrès hal-03837968v1
Explaining a deep spatiotemporal land cover classifier with attention and redescription mining N. Méger,H. Courteille,A Benoit,A. Atto,Dino Ienco 24. ISPRS Congress (ISPRS 2022), Jun 2022, Nice, France. pp.673-680, ⟨10.5194/isprs-archives-XLIII-B3-2022-673-2022⟩ Communication dans un congrès hal-03694444v1
Classification multi-modale de l'occupation du sol à partir de réseaux de neurones convolutifs et de l'auto-distillation Yawogan Jean Eudes Gbodjo,Dino Ienco ORASIS 2021, Centre National de la Recherche Scientifique [CNRS], Sep 2021, Saint Ferréol, France Communication dans un congrès hal-03339628v1
A neural network strategy for supervised classification via the Learning Under Privileged Information paradigm Ludovica Sacco,Dino Ienco,Roberto Interdonato SEBD 2021: Italian Symposium on Advanced Database Systems (SEBD - Sistemi Evoluti per Basi di Dati), Sep 2021, Pizzo Calabro, Italy. pp.83-93 Communication dans un congrès hal-05177729v1
CHANNEL-BASED ATTENTION FOR LCC USING SENTINEL-2 TIME SERIES Hermann Courteille,A Benoit,N Méger,A Atto,Dino Ienco IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, IEEE, Jul 2021, Brussels, Belgium. pp.1077-1080, ⟨10.1109/IGARSS47720.2021.9554205⟩ Communication dans un congrès hal-03182049v1
Adaptation de domaine pour la cartographie de l'occupation des sols à partir de séries temporelles d'images satellitaires optiques Emmanuel Capliez,Dino Ienco,Raffaele Gaetano,Nicolas Baghdadi,Adrien Hadj Salah ORASIS 2021, Centre National de la Recherche Scientifique [CNRS], Sep 2021, Saint Ferréol, France Communication dans un congrès hal-03339618v1
Assessment of Urban Land-Cover Classification: Comparison Between Pixel and Object Scales A. Cornic,K. Ose,Dino Ienco,E. Barbe,R. Cresson IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Jul 2021, Brussels, Belgium. pp.5716-5719, ⟨10.1109/IGARSS47720.2021.9554617⟩ Communication dans un congrès hal-03685772v1
An inductive framework for semi-supervised learning Shuyi Yang,Dino Ienco,R. Esposito,R.G. Pensa 29. Italian Symposium on Advanced Database Systems, SEBD 2021, Sep 2021, Pizzo Calabro, Italy. pp.173243 Communication dans un congrès hal-03444184v1
On Enhanced Ensemble Learning for Multimodal Remote Sensing Data Analysis by Capacity Optimization Saloua Chlaily,Dino Ienco,Christian Jutten,Andrea Marinoni SSP 2021 - 2021 IEEE Workshop Statistical Signal Processing, Jul 2021, Rio de Janeiro, Brazil. pp.151-155, ⟨10.1109/SSP49050.2021.9513780⟩ Communication dans un congrès hal-03597523v1
A neural network strategy for supervised classification via the learning under privileged information paradigm L. Sacco,Dino Ienco,Roberto Interdonato 29. Italian Symposium on Advanced Database Systems, SEBD 2021, Sep 2021, Pizzo Calabro, Italy. pp.173243 Communication dans un congrès hal-03444517v1
Tutorial: Machine and Deep Learning for Earth Observation: Advanced Approaches and Practical Use Cases – Abstract Dino Ienco,Roberto Interdonato SEBD 2021: Italian Symposium on Advanced Database Systems (SEBD - Sistemi Evoluti per Basi di Dati), Sep 2021, Pizzo Calabro, Italy. pp.iv- iv Communication dans un congrès hal-05177730v1
Evaluate Pseudo Labeling and CNN for Multi-variate Time Series Classification in Low-Data Regimes Dino Ienco,Davi Pereira-Santos,André de Carvalho 30th International Conference on Artificial Neural Networks, ICANN 2021, Sep 2021, Bratislava, Slovakia. pp.126-137, ⟨10.1007/978-3-030-86383-8_10⟩ Communication dans un congrès hal-03375996v1
Potential of Sentinel-1 and Sentinel-2 data for mapping irrigated areas at plot scale Hassan Bazzi,Nicolas Baghdadi,Dino Ienco,Mehrez Zribi,Hatem Belhouchette EGU General Assenbly 2020, May 2020, Vienna, Austria. ⟨10.5194/egusphere-egu2020-10367⟩ Communication dans un congrès hal-02881880v1
Supervised level-wise pretraining for sequential data classification Dino Ienco,Roberto Interdonato,Raffaele Gaetano ICONIP 2020 - 27th International Conference on Neural Information Processing, Nov 2020, Bangkok, Thailand. pp.449-457, ⟨10.1007/978-3-030-63823-8_52⟩ Communication dans un congrès hal-03031531v1
Generalized knowledge distillation for multi-sensor remote sensing classification: an application to land cover mapping Dino Ienco,Jean Eudes Gbodjo,Raffaele Gaetano,Roberto Interdonato ISPRS Congress 2020 Commission II, ISPRS, Aug 2020, s.l., France. pp.997-1003, ⟨10.5194/isprs-annals-V-2-2020-997-2020⟩ Communication dans un congrès hal-05177143v1
Deep Multivariate Time Series Embedding Clustering via Attentive-Gated Autoencoder Dino Ienco,Roberto Interdonato PAKDD 2020 - 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, May 2020, Singapore, Singapore. pp.318-329, ⟨10.1007/978-3-030-47426-3_25⟩ Communication dans un congrès hal-02923636v1
Irrigation mapping using Sentinel-1 time series Hassan Bazzi,Nicolas Baghdadi,Dino Ienco,Mehrez Zribi,Hatem Belhouchette IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, IEEE, Sep 2020, Waikoloa, Hawaii, United States. pp.4711-4714, ⟨10.1109/IGARSS39084.2020.9324358⟩ Communication dans un congrès hal-03322931v1
Optical image gap filling using deep convolutional autoencoder from optical and radar images Rémi Cresson,Dino Ienco,Raffaele Gaetano,Kenji Ose,Dinh Ho Tong Minh IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, Jul 2019, Yokohama, Japan. pp.218-221 Communication dans un congrès hal-02968847v1
Deep triplet-driven semi-supervised embedding clustering Dino Ienco,Ruggero Pensa DS 2019 - 22nd International Conference on Discovery Science, Oct 2019, Split, Croatia. pp.220-234, ⟨10.1007/978-3-030-33778-0_18⟩ Communication dans un congrès hal-02931058v1
Combining Sentinel-1 and Sentinel-2 time series via RNN for object-based land cover classification Dino Ienco,Raffaele Gaetano,Kenji Ose,Dinh Ho Tong Minh IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, Jul 2019, Yokohama, Japan. pp.4881-4884 Communication dans un congrès hal-02966810v1
Combining Sentinel-1 and Sentinel-2 Time Series via RNN for object-based land cover classification Dino Ienco,Raffaele Gaetano,Roberto Interdonato,Kenji Osé,Dinh Ho Tong Minh IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, IEEE; GRSS, Jul 2019, Yokohama, Japan. pp.4881-4884, ⟨10.1109/IGARSS.2019.8898458⟩ Communication dans un congrès hal-05177135v1
How to Deal with Multi-source Data for Tree Detection Based on Deep Learning Lionel Pibre,Marc Chaumont,Gérard Subsol,Dino Ienco,Mustapha Derras 5th IEEE Global Conference on Signal and Information Processing (GlobalSIP), Nov 2017, Montreal, Canada. pp.1150-1154, ⟨10.1109/GlobalSIP.2017.8309141⟩ Communication dans un congrès lirmm-01685327v1
APPLICATION OF DEEP LEARNING OF MULTI-TEMPORAL SENTINEL-1 IMAGES FOR THE CLASSIFICATION OF COASTAL VEGETATION ZONE OF THE DANUBE DELTA Simona Niculescu,Dino Ienco,Jenica Hanganu Developments, Technologies and Applications in Remote Sensing / International Society of Photogrammetry and Remote Sensing, May 2018, Beijing, China Communication dans un congrès hal-01804954v1
Multi-annual Satellite Image Time Series Analysis using an Object-Oriented Approach Lynda Khiali,Dino Ienco,Maguelonne Teisseire,Samuel Alleaume,Mamadou Ndiath GEOBIA 2018 - From pixels to ecosystems and global sustainability ​, Centre d'Etudes Spatiales de la BIOsphère (CESBIO); Office national d'études et de recherches aérospatiales (ONERA); Espace pour le développement (ESPACE DEV); Société T.E.T.I.S, Jun 2018, Montpellier, France Communication dans un congrès hal-01958952v1
Semi-Supervised Clustering With Multiresolution Autoencoders Dino Ienco,Ruggero G. Pensa IJCNN: International Joint Conference on Neural Networks, Jul 2018, Rio de Janeiro, Brazil. pp.8, ⟨10.1109/IJCNN.2018.8489353⟩ Communication dans un congrès hal-01931471v1
Visual Querying of Large Multilayer Graphs Erick Cuenca Pauta,Arnaud Sallaberry,Dino Ienco,Pascal Poncelet SSDBM: Scientific and Statistical Database Management, Jul 2018, Bozen-Bolzano, Italy. pp.32-34, ⟨10.1145/3221269.3223027⟩ Communication dans un congrès lirmm-01847422v1
Node-Centric Community Detection in Multilayer Networks with Layer-Coverage Diversification Bias Roberto Interdonato,Andrea Tagarelli,Dino Ienco,Arnaud Sallaberry,Pascal Poncelet CompleNet, Mar 2017, Dubrovnik, Croatia. pp.57-66, ⟨10.1007/978-3-319-54241-6_5⟩ Communication dans un congrès lirmm-01912004v1
Étude des réseaux de neurones sur la stéganalyse Lionel Pibre,Marc Chaumont,Dino Ienco,Jérôme Pasquet CORESA: COmpression et REprésentation des Signaux Audiovisuels, May 2016, Nancy, France Communication dans un congrès hal-01374095v1
RetweetPatterns: Detection of Spatio-Temporal Patterns of Retweets Tomy Rodrigues,Tiago Cunha,Dino Ienco,Pascal Poncelet,Carlos Soares 4th World Conference on Information Systems and Technologies (WorldCIST), Mar 2016, Recife, Brazil. pp.879-888, ⟨10.1007/978-3-319-31232-3_83⟩ Communication dans un congrès lirmm-01362428v1
Querying RDF Data Using A Multigraph-based Approach Vijay Ingalalli,Dino Ienco,Pascal Poncelet,Serena Villata 19. International Conference on Extending Database Technology (EDBT 2016), Mar 2016, Bordeaux, France. pp.245-256, ⟨10.5441/002/edbt.2016.24⟩ Communication dans un congrès lirmm-01245146v1
Multilayer Graph Edge Bundling Romain Bourqui,Dino Ienco,Arnaud Sallaberry,Pascal Poncelet IEEE Pacific Visualization Symposium (PacificVis), Apr 2016, Taipei, Taiwan. pp.184-188, ⟨10.1109/PACIFICVIS.2016.7465267⟩ Communication dans un congrès lirmm-01304602v1
SuMGra: Querying Multigraphs via Efficient Indexing Vijay Ingalalli,Dino Ienco,Pascal Poncelet DEXA 2016 - 27th International Conference on Database and Expert Systems Applications, Sep 2016, Porto, Portugal. pp.387-401, ⟨10.1007/978-3-319-44403-1_24⟩ Communication dans un congrès lirmm-01362431v1
Deep learning is a good steganalysis tool when embedding key is reused for different images, even if there is a cover source-mismatch Lionel Pibre,Jérôme Pasquet,Dino Ienco,Marc Chaumont EI: Electronic Imaging, Feb 2016, San Fransisco, United States Communication dans un congrès lirmm-01227950v2
Layer-Centered Approach for Multigraphs Visualization Denis Redondo,Arnaud Sallaberry,Dino Ienco,Faraz Zaidi,Pascal Poncelet 19th International Conference Information Visualisation (IV), Jul 2015, Barcelone, Spain. pp.50-55, ⟨10.1109/iv.2015.20⟩ Communication dans un congrès lirmm-01275379v1
Towards Linked Data Extraction From Tweets Manel Achichi,Zohra Bellahsene,Dino Ienco,Konstantin Todorov EGC: Extraction et Gestion des Connaissances, Jan 2015, Luxembourg, Luxembourg. pp.383-388 Communication dans un congrès hal-01411403v1
Mining Multi-Relational Gradual Patterns Nhat Hai Phan,Dino Ienco,Donato Malerba,Pascal Poncelet,Maguelonne Teisseire SDM 2015 - 15th SIAM International Conference on Data Mining, Apr 2015, Vancouver, Canada. pp.846-854, ⟨10.1137/1.9781611974010.95⟩ Communication dans un congrès lirmm-01239187v1
Knowledge-Based Representation for Transductive Multilingual Document Classification Salvatore Romeo,Dino Ienco,Andrea Tagarelli 37. European Conference on Information Retrieval (ECIR), Mar 2015, Vienna, Austria. pp.92-103, ⟨10.1007/978-3-319-16354-3_11⟩ Communication dans un congrès lirmm-01239095v1
Multilingual document classification via transductive learning S. Romeo,Dino Ienco,A. Tagarelli 6th Italian Information Retrieval Workshop, May 2015, Cagliari, Italy. 4 p Communication dans un congrès hal-01295784v1
Fuzzy core DBScan clustering algorithm G. Bordogna,Dino Ienco IPMU, Jul 2014, Montpellier, France Communication dans un congrès hal-02600410v1
Exploring high repetitivity remote sensing time series for mapping and monitoring natural habitats — A new approach combining OBIA and k-partite graphs Fabio N. Güttler,Samuel Alleaume,Christina Corbane,Dino Ienco,J. Ninet al. IEEE International Symposium on Geoscience and Remote Sensing (IGARSS), Jul 2014, Quebec City, Canada. pp.3930-3933, ⟨10.1109/IGARSS.2014.6947344⟩ Communication dans un congrès hal-02108532v1
Change detection in categorical evolving data streams Dino Ienco,Albert Bifet,Bernhard Pfahringer,Pascal Poncelet SAC 2014 - 29th Annual ACM Symposium on Applied Computing, Mar 2014, Gyeongju, South Korea. pp.792-797, ⟨10.1145/2554850.2554864⟩ Communication dans un congrès hal-02600407v1
Monitoring the phenology of mediterranean natural habitats with multispectral sensors: an analysis based on multiseasonal field spectra C. Corbane,Fabio N. Güttler,Samuel Alleaume,Dino Ienco,Maguelonne Teisseire International Geoscience and Remote Sensing Symposium (IGARSS), 35th Canadian Symposium on Remote Sensing, CSRS 2014, Jul 2014, Québec, Canada. pp.3934-3937, ⟨10.1109/IGARSS.2014.6947345⟩ Communication dans un congrès hal-01136524v1
Détection de changements dans des flots de données qualitatives Dino Ienco,Albert Bifet,Bernhard Pfahringer,Pascal Poncelet 14e Journées Internationales Francophones sur l'Extraction et la Gestion des Connaissances (EGC), Jan 2014, Rennes, France. pp.517-520 Communication dans un congrès hal-01556565v1
Contextual Itemset Mining in DBpedia Julien Rabatel,Madalina Croitoru,Dino Ienco,Pascal Poncelet LD4KD: Linked Data for Knowledge Discovery, Sep 2014, Nancy, France. pp.27-36 Communication dans un congrès lirmm-01076887v1
Semantic-based multilingual document clustering via tensor modeling S. Romeo,A. Tagarelli,Dino Ienco EMNLP, Conference on Empirical Methods in Natural Language Processing, Oct 2014, Doha, France. 10 p Communication dans un congrès hal-01130094v1
Towards the use of sequential patterns for detection and characterization of natural and agricultural areas Fabio N. Güttler,Dino Ienco,Maguelonne Teisseire,Jordi Nin,Pascal Poncelet 15th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), Jul 2014, Montpellier, France. pp.97-106, ⟨10.1007/978-3-319-08795-5_11⟩ Communication dans un congrès hal-02600411v1
Semantic-Based Multilingual Document Clustering via Tensor Modeling Salvatore Romeo,Andrea Tagarelli,Dino Ienco EMNLP: Empirical Methods in Natural Language Processing, Oct 2014, Doha, Qatar. pp.600-609, ⟨10.3115/v1/D14-1065⟩ Communication dans un congrès lirmm-01239231v1
Identifying cropped areas in small growers agricultural regions using data mining for food security Elodie Vintrou,Valentine Lebourgeois,Agnès Bégué,Dino Ienco,Maguelonne Teisseireet al. Sentinel-2 for Science Workshop at ESA-ESRIN, May 2014, Frascati, Italy Communication dans un congrès hal-02600872v1
High density-focused uncertainty sampling for active learning over evolving stream data Dino Ienco,Bernhard Pfahringer,Indrė Žliobaitė BigMine 2014, Aug 2014, New York, United States. pp.133-148 Communication dans un congrès hal-02600408v1
Do more views of a graph help? Community detection and clustering in multi-Graphs E.E. Papalexakis,L. Akoglu,Dino Ienco FUSION 2013, Jul 2013, Istanbul, Turkey. pp.899-905 Communication dans un congrès hal-02598527v1
Clustering based active learning for evolving data streams Dino Ienco,Albert Bifet,I. Zliobaite,B. Pfahringer Discovery Science, Oct 2013, Singapore, Singapore. pp.15, ⟨10.1007/978-3-642-40897-7_6⟩ Communication dans un congrès hal-02599586v1
Mining Representative Movement Patterns through Compression Nhat Hai Phan,Dino Ienco,Pascal Poncelet,Maguelonne Teisseire PAKDD 2013 - 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Apr 2013, Gold Coast, Australia. pp.314-326, ⟨10.1007/978-3-642-37453-1_26⟩ Communication dans un congrès lirmm-00798072v1
Healtcare Trajectory Mining by Combining Multi-dimensional Component and Itemsets Elias Egho,Dino Ienco,Nicolas Jay,Amedeo Napoli,Pascal Ponceletet al. NFMCP: New Frontiers in Mining Complex Patterns, Sep 2012, Bristol, United Kingdom. ⟨10.1007/978-3-642-37382-4_8⟩ Communication dans un congrès lirmm-00732661v1
How to Extract Relevant Knowledge from Tweets? Flavien Bouillot,Nhat Hai Phan,Nicolas Béchet,Sandra Bringay,Dino Iencoet al. International Workshop on Information Search, Integration, and Personalization (ISIP), Oct 2012, Sapporo, Japan. pp.111-120, ⟨10.1007/978-3-642-40140-4_12⟩ Communication dans un congrès lirmm-00798662v1
Knowledge-free table summarization Dino Ienco,Yoann Pitarch,Pascal Poncelet,Maguelonne Teisseire 15th International Conference, DaWaK 2013, Aug 2013, Prague, Czech Republic. pp.122-133, ⟨10.1007/978-3-642-40131-2_11⟩ Communication dans un congrès hal-02599585v1
Extracting Trajectories through an Efficient and Unifying Spatio-Temporal Patten Mining System Nhat Hai Phan,Dino Ienco,Pascal Poncelet,Maguelonne Teisseire ECML PKDD 2012 - Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Sep 2012, Bristol, United Kingdom. pp.820-823, ⟨10.1007/978-3-642-33486-3_55⟩ Communication dans un congrès lirmm-00732662v1
Mining Time Relaxed Gradual Moving Object Clusters Nhat Hai Phan,Dino Ienco,Pascal Poncelet,Maguelonne Teisseire 20th ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL), Nov 2012, Redondo Beach, United States. pp.478-481, ⟨10.1145/2424321.2424394⟩ Communication dans un congrès lirmm-00798076v1
French Presidential Elections: What are the most Efficient Measures for Tweets? Flavien Bouillot,Pascal Poncelet,Mathieu Roche,Dino Ienco,Elnaz Bigdeliet al. PLEAD: Proceedings of the Workshop Politics, Elections and Data, 2012, Maui, United States. pp.23-30, ⟨10.1145/2389661.2389669⟩ Communication dans un congrès lirmm-00801028v1
Towards an Automatic Construction of Contextual Attribute-Value Taxonomies Dino Ienco,Yoann Pitarch,Pascal Poncelet,Maguelonne Teisseire 27th International Symposium on Applied Computing (SAC), Mar 2012, Riva del Garda, Trento, Italy. pp.113-118, ⟨10.1145/2245276.2245301⟩ Communication dans un congrès lirmm-00798075v1
Healthcare trajectory mining by combining multidimensional component and itemsets Elias Egho,Chedy Raïssi,Dino Ienco,Nicolas Jay,Amedeo Napoliet al. ECML-PKDD 2012, Sep 2012, Bristol, United Kingdom. p. 116 - p. 127 Communication dans un congrès hal-00801813v1
Mining Fuzzy Moving Object Clusters Nhat Hai Phan,Dino Ienco,Pascal Poncelet,Maguelonne Teisseire ADMA 2012 - 8th International Conference on Advanced Data Mining and Applications, Dec 2012, Nanjing, China. pp.100-114, ⟨10.1007/978-3-642-35527-1_9⟩ Communication dans un congrès lirmm-00798148v1
Toward Geographic Information Harvesting: Extraction of Spatial Relational Facts from Web Documents Corrado Loglisci,Dino Ienco,Mathieu Roche,Maguelonne Teisseire,Donato Malerba 12th International Workshop on Spatial and Spatiotemporal Data Mining (SSTDM) @ ICDM, Dec 2012, Brussels, Belgium. pp.789-796, ⟨10.1109/ICDMW.2012.20⟩ Communication dans un congrès lirmm-00816292v1
Vers une méthode automatique de construction de hiérarchies contextuelles Dino Ienco,Yoann Pitarch,Pascal Poncelet,Maguelonne Teisseire EGC: Extraction et Gestion des Connaissances, 2012, Bordeaux, France. pp.335-346 Communication dans un congrès lirmm-00798254v1
An Unsupervised Framework for Topological Relations Extraction from Geographic Documents Corrado Loglisci,Dino Ienco,Mathieu Roche,Maguelonne Teisseire,Donato Malerba DEXA 2012 - 23rd International Conference on Database and Expert Systems Applications, 2012, Vienna, Austria. pp.48-55, ⟨10.1007/978-3-642-32597-7_5⟩ Communication dans un congrès lirmm-00723574v1

Pré-publication, Document de travail (2)

When machine learning extrapolates in space: how local data shape spatial transferability Camille Portes,Dino Ienco,Edith Gabriel 2026 Pré-publication, Document de travail hal-05457625v1
Fire severity and recovery across Europe: insights from forest diversity and landscape metrics Eatidal Amin,Cassio F. Dantas,Dino Ienco,Samuel Alleaume,Sandra Luque 2025 Pré-publication, Document de travail hal-05252328v1

Poster de conférence (6)

Comprehensive regional assessment of brood habitat suitability for Alpine black grouse (Lyrurus tetrix) Samuel Alleaume,Alexandre Tm Defossez,Marc Montadert,Dino Ienco,Nadia Guiffantet al. BIOSPACE25 - BIODIVERISTY INSIGHT FROM SPACE, Feb 2025, Frascati, Italy Poster de conférence hal-04929144v1
A dual viewpoint deep learning architecture for time series classification Roberto Interdonato,Dino Ienco,Raffaele Gaetano,Kenji Osé 2019 Living Planet Symposium (LPS 2019), May 2019, Milan, Italy. ESA [European Space Agency], 1 p., 2019 Poster de conférence hal-05177136v1
Visual Querying and Exploring of Large Multilayer Graphs Erick Cuenca Pauta,Arnaud Sallaberry,Dino Ienco,Pascal Poncelet VIS, Oct 2018, Berlin, Germany. IEEE, Conference on Scientific Visualization, Information Visualization and Visual Analytics, 2018 Poster de conférence lirmm-01912384v1
Results of IndexMed GRAIL Days 2016: How to use standards to build GRAphs and mIne data for environmentaL research? IndexMeed consortium for data mining in ecology Romain David,Jean-Pierre Féral,Anne-Sophie Archambeau,Fanny Arnaud,David Auberet al. RDA Ninth Plenary Meeting "Data Infrastructures for Open Science", Apr 2017, Barcelona, Spain. , 2017, ⟨10.13140/RG.2.2.32504.44806⟩ Poster de conférence hal-02295974v1
Local community detection in multilayer networks Roberto Interdonato,Andrea Tagarelli,Dino Ienco,Arnaud Sallaberry,Pascal Poncelet ASONAM, Aug 2016, San Francisco, United States. IEEE/ACM, pp.1382-1383, 2016 Poster de conférence hal-02605181v1
Twitter Event Detection and Modeling with TEWS Mykael Vigo,Zohra Bellahsene,Dino Ienco,Konstantin Todorov ISWC: International Semantic Web Conference, Oct 2015, Bethlehem, PA, United States. , 14th International Semantic Web Conference, pp.4, 2015, Posters & Demonstrations Track Poster de conférence lirmm-01239194v1

Rapport (7)

Cartographie de l’habitat de reproduction du tétras-lyre (Lyrurus tetrix) dans les Alpes françaises Alexandre Defossez,Samuel Alleaume,Marc Montadert,Dino Ienco,Sandra Luqueet al. INRAE; OFB, Office Français de la Biodiversité. 2024 Rapport (rapport technique) hal-04469226v2
Space-based Earth Observation and Ecosystem Extent: Exploring Opportunities Gary N. Geller,Shaun R. Levick,Sandra Luque,Roger Sayre,Andreas Brinket al. CEOS- committee on earth observation satellites. 2023, 38 p Rapport hal-04418120v1
Elaboration d'indicateurs de pression agricole à partir de méthodes de fouille de données - Livrable 2 Dino Ienco,Pierre-Yves Vion,Maguelonne Teisseire,Jean Philippe Tonneau [Rapport Technique] IRSTEA. 2015, pp.31 Rapport (rapport technique) hal-01585575v1
Elaboration d'indicateurs de pression agricole à partir de méthodes de fouille de données - Résultats de la fouille de données, confrontation avec les connaissances agronomiques sur le Bassin de la Saône et analyse critique Pierre-Yves Vion,Dino Ienco,Flavie Cernesson,Maguelonne Teisseire,Jean-Philippe Tonneau [Rapport Technique] IRSTEA. 2015, pp.61 Rapport (rapport technique) hal-01717524v1
Elaboration d'indicateurs de pression agricole à partir de méthodes de fouille de données - Livrable 1 Dino Ienco,Pierre-Yves Vion,Maguelonne Teisseire,Jean Philippe Tonneau [Rapport Technique] IRSTEA. 2014, pp.34 Rapport (rapport technique) hal-01585563v1
Elaboration d'indicateurs de pression agricole à partir de méthodes de fouille de données Dino Ienco,Pierre-Yves Vion,Maguelonne Teisseire,Flavie Cernesson [Rapport Technique] IRSTEA. 2014, pp.34 Rapport (rapport technique) hal-01717531v1
Presidential Election 2012: How French politicians tweet? Flavien Bouillot,Dino Ienco,Stan Matwin,Pascal Poncelet,Mathieu Roche RR-12011, 2012 Rapport lirmm-00688651v1

Autre publication scientifique (1)

Modeling black grouse brood habitat in the French Alps using remote sensing Alexandre Tm Defossez,Samuel Alleaume,Dino Ienco,Josselin Giffard-Carlet,Sandra Luqueet al. 2024, 26 p Autre publication scientifique hal-05082767v1

Proceedings/Recueil des communications (4)

Discovery Science - 25th International Conference, DS 2022, Montpellier, France, October 10-12, 2022, Proceedings Pascal Poncelet,Dino Ienco DS 2022 - 25th International Conference on Discovery Science, Oct 2022, Montpellier, France. Lecture Notes in Computer Science, 13601, Springer Nature Switzerland, 2022, Lecture Notes in Computer Science, 978-3-031-18840-4. ⟨10.1007/978-3-031-18840-4⟩ Proceedings/Recueil des communications lirmm-04206262v1
Towards combining satellite imagery and VGI for urban LULC classification Dino Ienco,K. Ose,C. Weber 2019 Joint Urban Remote Sensing Event (JURSE), Apr 2019, Vannes, France. Institute of Electrical and Electronics Engineers Inc., pp.1-4, 2019, ⟨10.1109/JURSE.2019.8808966⟩ Proceedings/Recueil des communications hal-02609706v1
IndexMEED cases studies using &quot;Omics&quot; data with graph theory Romain David,Jean-Pierre Féral,Sophie Archambeau,Fanny Arnaud,David Auberet al. TDWG, 2017, Ottawa, Canada. Biodiversity Information Science and Standards, 1, pp.340-361, 2017, ⟨10.3897/tdwgproceedings.1.20740⟩ Proceedings/Recueil des communications hal-01761535v1
Proceedings of the First Workshop on Modeling, Learning and Mining for Cross/Multilinguality (MultiLingMine 2016) co-located with the 38th European Conference on Information Retrieval (ECIR 2016), Padova, Italy, March 20, 2016. Dino Ienco,Mathieu Roche,Salvatore Romeo,Paolo Rosso,Andrea Tagarelli MultiLingMine: Modeling, Learning and Mining for Cross/Multilinguality, Mar 2016, Padova, Italy. 1589, , 2016, CEUR Workshop Proceedings Proceedings/Recueil des communications lirmm-01382023v1

Chapitre d'ouvrage (3)

Fondements et état de l'art Nathalie Mitton,Ludovic Brossard,Tassadit Bouadi,Frédérick Garcia,Romain Gautronet al. Bellon-Maurel Véronique (ed.); Brossard Ludovic (ed.); Garcia Frédérick (ed.); Mitton Nathalie (ed.); Terrier Alexandre (ed.). Agriculture et numérique : un Livre Blanc d’Inria et INRAE pour construire les bases d’une agriculture numérique responsable, 6, INRIA; INRAE, pp.32-82, 2022, Livre blanc / INRIA Chapitre d'ouvrage hal-05179231v1
Foundations and state of play Nathalie Mitton,Ludovic Brossard,Tassadit Bouadi,Frédérick Garcia,Romain Gautronet al. Agriculture and Digital Technology: Getting the most out of digital technology to contribute to the transition to sustainable agriculture and food systems, 6, INRIA, pp.30-75, 2022, White book Inrira, 978-2-7261-1310-3 Chapitre d'ouvrage hal-03609470v2
Querying RDF Data: A Multigraph Based Approach Vijay Ingalalli,Dino Ienco,Pascal Poncelet Olivier Pivert. NoSQL Data Models • Trends and Challenges, 1, ISTE–WILEY, 2018, Base de données et Big Data • Databases and Big Data, 9781786303646. ⟨10.1002/9781119528227.ch5⟩ Chapitre d'ouvrage lirmm-01910660v1

Logiciel (1)

SumGra: Mining Frequent Subgraphs in Multigraphs Vijay Ingalalli,Dino Ienco,Pascal Poncelet 2019, ⟨swh:1:dir:0abf419bfe6e335edc1fe1626a167a373e0c195a;origin=https://hal.archives-ouvertes.fr/lirmm-02136558;visit=swh:1:snp:a7665a030cc9f0877fd3103c3b02db69abd20325;anchor=swh:1:rev:11651125345aefdd4503aab2db8bbedc1d7edcaa;path=/⟩ Logiciel lirmm-02136558v1

HDR (1)

Mining and learning from spatio-temporal data: examples and perspectives Dino Ienco Environmental Sciences. HDR en Informatique, Université de Montpellier, 2016 HDR tel-02605252v1

Brevet (1)

Process for identifying rare events Renaud Cezar,Dino Ienco,André Mas,Florent Masseglia,Pascal Ponceletet al. United States, Patent n° : EP13153512A; EP2014051963W. 2013 Brevet lirmm-00913008v1