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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
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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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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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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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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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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

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

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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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
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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

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
IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul 2019, Yokohama, Japan. pp.4881-4884
Communication dans un congrès hal-02966810v1

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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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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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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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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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
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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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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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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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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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Explaining a deep spatiotemporal land cover classifier with attention and redescription mining

 N. Méger , H. Courteille , A Benoit , A. Atto , Dino Ienco
The XXIV International Society for Photogrammetry and Remote Sensing Congress, Jun 2022, Nice, France. pp.673-680, ⟨10.5194/isprs-archives-XLIII-B3-2022-673-2022⟩
Communication dans un congrès hal-03694444v1

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
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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

Local community detection in multilayer networks

 Roberto Interdonato , Andrea Tagarelli , Dino Ienco , Arnaud Sallaberry , Pascal Poncelet
ASONAM, Aug 2016, San Francisco, United States. pp.1382-1383
Communication dans un congrès hal-02605181v1
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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

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

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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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
29th Annual ACM Symposium on Applied Computing (SAC), Mar 2014, Gyeongju, South Korea. pp.792-797, ⟨10.1145/2554850.2554864⟩
Communication dans un congrès hal-02600407v1
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