Dino Ienco

195
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Publications

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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
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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 Fiameni et al.

Ecological Informatics, 2026, pp.103668. ⟨10.1016/j.ecoinf.2026.103668⟩

Article dans une revue hal-05527574v1
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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
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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 Ghorbanzadeh et al.

Science of Remote Sensing, 2025, 12, 39 p. ⟨10.1016/j.srs.2025.100315⟩

Article dans une revue hal-05319081v1
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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
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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 Maleki et al.

Science of Remote Sensing, 2025, 11, pp.100244. ⟨10.1016/j.srs.2025.100244⟩

Article dans une revue hal-05113091v1
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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
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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
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SAHARA: Heterogeneous Semi-Supervised Transfer Learning with Adversarial Adaptation and Dynamic Pseudo-Labeling

Giuseppe Guarino , Cássio F Dantas , Dino Ienco , Raffaele Gaetano , Gemine Vivone et al.

IEEE Geoscience and Remote Sensing Letters, 2025, 23, 13 p. ⟨10.1109/LGRS.2025.3635269⟩

Article dans une revue hal-05370697v1
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Sentinel-1 (S1) time series alignment method for rapeseed fields mapping

Saeideh Maleki , Nicolas Baghdadi , Sami Najem , Cassio Fraga Dantas , Dino Ienco et al.

Frontiers in Remote Sensing, 2025, 5, pp.1483295. ⟨10.3389/frsen.2024.1483295⟩

Article dans une revue hal-04955663v1
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Assessing habitat suitability for black grouse broods at the bioregional scale

Alexandre Tm Defossez , Samuel Alleaume , Marc Montadert , Josselin Giffard-Carlet , Dino Ienco et al.

Wildlife Biology, In press, ⟨10.1002/wlb3.01425⟩

Article dans une revue hal-05168858v1
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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 Ienco et al.

Remote Sensing of Environment, 2024, 311, pp.114270. ⟨10.1016/j.rse.2024.114270⟩

Article dans une revue hal-04629344v1
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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 Bazzi et al.

Remote Sensing, 2024, 16 (3), pp.549. ⟨10.3390/rs16030549⟩

Article dans une revue hal-04476131v1
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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
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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
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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
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Machine Learning-Based Summer Crops Mapping Using Sentinel-1 and Sentinel-2 Images

Saeideh Maleki , Nicolas Baghdadi , Hassan Bazzi , Cassio Fraga Dantas , Dino Ienco et al.

Remote Sensing, 2024, 16 (23), pp.4548. ⟨10.3390/rs16234548⟩

Article dans une revue hal-04823571v1
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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
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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
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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
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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 Ienco et 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
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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
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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 Bazzi et 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
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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
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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
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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
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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 Salah et al.

IEEE Transactions on Geoscience and Remote Sensing, 2023, 61, pp.5405716. ⟨10.1109/TGRS.2023.3297077⟩

Article dans une revue hal-05181753v1
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Sentinel-2 images to assess soil surface characteristics over a rainfed Mediterranean cropping system

Cécile Gomez , Maman Sani Aboubacar , Dino Ienco , Denis Feurer , Zakia Jenhaoui et al.

CATENA, 2022, 213, pp.#106152. ⟨10.1016/j.catena.2022.106152⟩

Article dans une revue hal-03604497v1
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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
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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
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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 Ienco et 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
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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

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
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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
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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
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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
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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 Alvares et al.

Remote Sensing of Environment, 2021, 265, 16 p. ⟨10.1016/j.rse.2021.112652⟩

Article dans une revue hal-03335248v1
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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 Interdonato et al.

IEEE Access, 2021, 9, pp.23070-23082. ⟨10.1109/ACCESS.2021.3055554⟩

Article dans une revue hal-03144053v1
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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
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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
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Deep convolutional neural networks to monitor coralligenous reefs: Operationalizing biodiversity and ecological assessment

Guilhem Marre , Cedric de Almeida Braga , Dino Ienco , Sandra Luque , Florian Holon et al.

Ecological Informatics, 2020, 59, pp.101110. ⟨10.1016/j.ecoinf.2020.101110⟩

Article dans une revue hal-02924709v1
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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
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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
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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 Gaetano et al.

Remote Sensing, 2020, 12 (17), ⟨10.3390/rs12172814⟩

Article dans une revue hal-02931049v1
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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
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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 Ose et 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
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Mapping irrigated areas using Sentinel-1 Time series in Catalonia, Spain

Hassan Bazzi , Nicolas Baghdadi , Dino Ienco , Mohammad El Hajj , Mehrez Zribi et al.

Remote Sensing, 2019, 11 (15), pp.1836. ⟨10.3390/rs11151836⟩

Article dans une revue hal-02609618v1
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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
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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
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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 Ienco et al.

Scientific Reports, 2019, 9 (1), pp.19996. ⟨10.1038/s41598-019-56515-7⟩

Article dans une revue hal-02434228v1
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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
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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
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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
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<formula> <tex>$M^3\text{Fusion}$</tex> </formula>: A Deep Learning Architecture for Multiscale Multimodal Multitemporal Satellite Data Fusion

Paola Benedetti , Dino Ienco , Raffaele Gaetano , Kenji Ose , Ruggero G. Pensa et 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

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 Ndikumana et al.

IEEE Geoscience and Remote Sensing Letters, 2018, 15 (3), pp.464-468. ⟨10.1109/LGRS.2018.2794581⟩

Article dans une revue hal-01931485v1
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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A quality-aware spatial data warehouse for querying hydroecological data

Soumia Lilia Berrahou , Nathalie Lalande , Eva Serrano , Guilhem Molla , Laure Berti-Équille et al.

Computers & Geosciences, 2015, 85 (part A), pp.126 - 135. ⟨10.1016/j.cageo.2015.09.012⟩

Article dans une revue hal-01223918v1
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Spatio-temporal data classification through multidimensional sequential patterns: Application to crop mapping in complex landscape

Yoann Pitarch , Dino Ienco , Elodie Vintrou , Agnès Bégué , Anne Laurent et 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
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A contribution to the discovery of multidimensional patterns in healthcare trajectories

Elias Egho , Nicolas Jay , Chedy Raïssi , Dino Ienco , Pascal Poncelet et al.

Journal of Intelligent Information Systems, 2014, 42 (2), pp.283 - 305. ⟨10.1007/s10844-014-0309-4⟩

Article dans une revue hal-01094377v1
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Animitex : Analyse d'Images fondée sur des Informations Textuelles

Mathieu Roche , Maguelonne Teisseire , Bruno Crémilleux , Pierre Gancarski , Christian Sallaberry et 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
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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
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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
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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
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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
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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 Wendling et 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
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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
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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
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ProMM-RS: Exploring Probabilistic Learning for Multi-Modal Remote Sensing Image Representations

Nicolas Houdré , Diego Marcos , Dino Ienco , Laurent Wendling , Camille Kurtz et 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⟩

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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
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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
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Transfer Land Cover Maps Across Years: A Time Series-based Semantic Segmentation Approach

Christopher Jabea , Roberto Interdonato , Cassio F Dantas , Dino Ienco , Flavie Cernesson et 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 Bazzi et 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 Ienco et 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
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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

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
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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
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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 Ienco et 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

Aligning Geo-Tagged Clip Representations and Satellite Imagery for Few-Shot Land Use Classification

Pallavi Jain , Diego Marcos , Dino Ienco , Roberto Interdonato , Aayush Dhakal et 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
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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

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
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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
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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⟩

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Modeling the breeding habitat of the Black Grouse from remote sensing data

Samuel Alleaume , Alexandre Defossez , Marc Montadert , Mairi Souza Oliveira , Dino Ienco et al.

11. IALE World Congress, International Association for Landscape Ecology (IALE), Jul 2023, Nairobi, Kenya

Communication dans un congrès hal-04589682v1
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PDiscoNet: Semantically consistent part discovery for fine-grained recognition

Robert van der Klis , Stephan Alaniz , Massimiliano Mancini , Cassio F. Dantas , Dino Ienco et 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
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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 Alvares et 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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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Multilingual document classification via transductive learning

S. Romeo , Dino Ienco , A. Tagarelli

6th Italian Information Retrieval Workshop, May 2015, Cagliari, Italy. 4 p

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Fuzzy core DBScan clustering algorithm

G. Bordogna , Dino Ienco

IPMU, Jul 2014, Montpellier, France

Communication dans un congrès hal-02600410v1
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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. Nin et 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
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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
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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
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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
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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
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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
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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
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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
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Identifying cropped areas in small growers agricultural regions using data mining for food security

Elodie Vintrou , Valentine Lebourgeois , Agnès Bégué , Dino Ienco , Maguelonne Teisseire et al.

Sentinel-2 for Science Workshop at ESA-ESRIN, May 2014, Frascati, Italy

Communication dans un congrès hal-02600872v1
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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
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How to Extract Relevant Knowledge from Tweets?

Flavien Bouillot , Nhat Hai Phan , Nicolas Béchet , Sandra Bringay , Dino Ienco et 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

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
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Healtcare Trajectory Mining by Combining Multi-dimensional Component and Itemsets

Elias Egho , Dino Ienco , Nicolas Jay , Amedeo Napoli , Pascal Poncelet et 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
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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
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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
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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
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French Presidential Elections: What are the most Efficient Measures for Tweets?

Flavien Bouillot , Pascal Poncelet , Mathieu Roche , Dino Ienco , Elnaz Bigdeli et 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
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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
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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
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Healthcare trajectory mining by combining multidimensional component and itemsets

Elias Egho , Chedy Raïssi , Dino Ienco , Nicolas Jay , Amedeo Napoli et al.

ECML-PKDD 2012, Sep 2012, Bristol, United Kingdom. p. 116 - p. 127

Communication dans un congrès hal-00801813v1

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
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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

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

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
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Comprehensive regional assessment of brood habitat suitability for Alpine black grouse (Lyrurus tetrix)

Samuel Alleaume , Alexandre Tm Defossez , Marc Montadert , Dino Ienco , Nadia Guiffant et 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
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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
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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 Auber et 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
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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
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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
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Cartographie de l’habitat de reproduction du tétras-lyre (Lyrurus tetrix) dans les Alpes françaises

Alexandre Defossez , Samuel Alleaume , Marc Montadert , Dino Ienco , Sandra Luque et 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 Brink et 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
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Presidential Election 2012: How French politicians tweet?

Flavien Bouillot , Dino Ienco , Stan Matwin , Pascal Poncelet , Mathieu Roche

RR-12011, 2012

Rapport lirmm-00688651v1

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
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IndexMEED cases studies using "Omics" data with graph theory

Romain David , Jean-Pierre Féral , Sophie Archambeau , Fanny Arnaud , David Auber et 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
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Fondements et état de l'art

Nathalie Mitton , Ludovic Brossard , Tassadit Bouadi , Frédérick Garcia , Romain Gautron et 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
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Foundations and state of play

Nathalie Mitton , Ludovic Brossard , Tassadit Bouadi , Frédérick Garcia , Romain Gautron et 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
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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
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Mining and learning from spatio-temporal data: examples and perspectives

Dino Ienco

Environmental Sciences. HDR en Informatique, Université de Montpellier, 2016

HDR tel-02605252v1

Process for identifying rare events

Renaud Cezar , Dino Ienco , André Mas , Florent Masseglia , Pascal Poncelet et al.

United States, Patent n° : EP13153512A; EP2014051963W. 2013

Brevet lirmm-00913008v1