Dino Ienco

150

Documents

Publications

	Integrating Predictive Process Monitoring Techniques in Smart Agriculture Simona Fioretto , Dino Ienco , Roberto Interdonato , Elio Masciari ISMIS 2024 - 27th International symposium on methodologies for intelligent systems, Jun 2024, Poitiers, France. pp.306-313, ⟨10.1007/978-3-031-62700-2_27⟩ Conference papers hal-04619543v1
	DisCoM-KD: Cross-Modal Knowledge Distillation via Disentanglement Representation and Adversarial Learning Dino Ienco , Cassio Fraga Dantas BMVC 2024 - 35th British Machine Vision Conference, Nov 2024, Glasgow, United Kingdom Conference papers hal-04666307v1
	Coarse-to-Fine Concept Bottleneck Models Konstantinos Panousis , Dino Ienco , Diego Marcos NeurIPS 2024 - 38th Annual Conference on Neural Information Processing Systems, Dec 2024, Vancouver (BC), Canada Conference papers hal-04709806v1
	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 Conference papers hal-04659631v1
	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 Conference papers hal-04617917v1
	Encodage 2D de séries temporelles d'imagerie satellitaires pour l'amélioration Azza Abidi , Dino Ienco , Ali Ben Abbes , Imed Riadh Farah TAIMA 2023 - 12e Traitement et Analyse de l'Information : Méthodes et Applications, May 2023, Hammamet, Tunisia Conference papers hal-04689663v1
	Masking Strategies for Background Bias Removal in Computer Vision Models Ananthu Aniraj , Cassio F. Dantas , Dino Ienco , Diego Marcos Out of Distribution Generalization in Computer Vision workshop (in conjunction with ICCV 2023), Oct 2023, Paris, France. pp.4399-4407, ⟨10.1109/ICCVW60793.2023.00474⟩ Conference papers hal-04184449v1
	Sparse Linear Concept Discovery Models Konstantinos Panousis , Dino Ienco , Diego Marcos ICCVW 2023 - IEEE/CVF International Conference on Computer Vision Workshops, IEEE, Oct 2023, Paris, France. pp.2759-2763, ⟨10.1109/ICCVW60793.2023.00292⟩ Conference papers hal-04532065v1
	PDiscoNet: Semantically consistent part discovery for fine-grained recognition Robert van der Klis , Stephan Alaniz , Massimiliano Mancini , Cassio F. Dantas , Dino Ienco ICCV 2023 - International Conference on Computer Vision, Oct 2023, Paris, France. pp.1866-1876, ⟨10.1109/ICCV51070.2023.00179⟩ Conference papers hal-04183747v1
	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⟩ Conference papers hal-04189631v1
	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⟩ Conference papers hal-03694444v1
	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 IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, Jul 2022, Kuala Lumpur, Malaysia. pp.7301-7304, ⟨10.1109/IGARSS46834.2022.9883973⟩ Conference papers hal-03837968v1
	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 21st Mediterranean Electrotechnical Conference (MELECON), Jun 2022, Palermo, France. pp.621-626, ⟨10.1109/MELECON53508.2022.9842865⟩ Conference papers hal-03760307v1
	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⟩ Conference papers hal-03375996v1
	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⟩ Conference papers hal-03597523v1
	A neural network strategy for supervised classification via the learning under privileged information paradigm L. Sacco , Dino Ienco , Roberto Interdonato 29th Italian Symposium on Advanced Database Systems, SEBD 2021, Sep 2021, Pizzo Calabro, Italy. pp.173243 Conference papers hal-03444517v1
	CHANNEL-BASED ATTENTION FOR LCC USING SENTINEL-2 TIME SERIES Hermann Courteille , A Benoit , N Méger , A Atto , Dino Ienco International Geoscience and Remote Sensing Symposium (IGARSS), IEEE, Jul 2021, Brussels, Belgium. pp.1077-1080, ⟨10.1109/IGARSS47720.2021.9554205⟩ Conference papers hal-03182049v1
	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 Conference papers hal-03339628v1
	An inductive framework for semi-supervised learning Shuyi Yang , Dino Ienco , R. Esposito , R.G. Pensa 29th Italian Symposium on Advanced Database Systems, SEBD 2021, Sep 2021, Pizzo Calabro, Italy. pp.173243 Conference papers hal-03444184v1
	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 Conference papers hal-03339618v1
	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⟩ Conference papers hal-03322931v1
	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, Singapour, Singapore. pp.318-329, ⟨10.1007/978-3-030-47426-3_25⟩ Conference papers hal-02923636v1
	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⟩ Conference papers 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⟩ Conference papers hal-03031531v1
	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 Conference papers hal-02966810v1
	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⟩ Conference papers hal-02931058v1
	Optical image gap filling using deep convolutional autoencoder from optical and radar images Rémi Cresson , Dino Ienco , R. Gaetano , Kenji Ose , Dinh Ho Tong Minh IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul 2019, Yokohama, Japan. pp.218-221 Conference papers hal-02968847v1
	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⟩ Conference papers 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⟩ Conference papers lirmm-01847422v1
	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 Conference papers hal-01958952v1
	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 Conference papers hal-01804954v1
	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⟩ Conference papers lirmm-01685327v1
	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⟩ Conference papers lirmm-01912004v1
	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 Conference papers hal-02605181v1
	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 Conference papers lirmm-01227950v2
	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⟩ Conference papers lirmm-01362431v1
	Querying RDF Data Using A Multigraph-based Approach Vijay Ingalalli , Dino Ienco , Pascal Poncelet , Serena Villata EDBT 2016 - 19th International Conference on Extending Database Technology, Mar 2016, Bordeaux, France. pp.245-256, ⟨10.5441/002/edbt.2016.24⟩ Conference papers 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⟩ Conference papers lirmm-01304602v1
	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 Conference papers 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⟩ Conference papers lirmm-01362428v1
	Multilingual document classification via transductive learning S. Romeo , Dino Ienco , A. Tagarelli 6th Italian Information Retrieval Workshop, May 2015, Cagliari, Italy. 4 p Conference papers hal-01295784v1
	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 Conference papers hal-01411403v1
	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⟩ Conference papers lirmm-01275379v1
	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⟩ Conference papers lirmm-01239187v1
	Knowledge-Based Representation for Transductive Multilingual Document Classification Salvatore Romeo , Dino Ienco , Andrea Tagarelli 37th European Conference on Information Retrieval (ECIR), Mar 2015, Vienna, Austria. pp.92-103, ⟨10.1007/978-3-319-16354-3_11⟩ Conference papers lirmm-01239095v1
	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 Conference papers hal-02600408v1
	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⟩ Conference papers lirmm-01239231v1
	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⟩ Conference papers hal-02600411v1
	Identifying cropped areas in small growers agricultural regions using data mining for food security Elodie Vintrou , Valentine Lebourgeois , Agnès Bégué , Dino Ienco , Maguelonne Teisseire Sentinel-2 for Science Workshop at ESA-ESRIN, May 2014, Frascati, Italy Conference papers hal-02600872v1
	Monitoring the phenology of mediterranean natural habitats with multispectral sensors: an analysis based on multiseasonal field spectra C. Corbane , F. Guttler , 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⟩ Conference papers hal-01136524v1
	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 Conference papers hal-01130094v1
	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⟩ Conference papers hal-02600407v1
	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 IEEE International Symposium on Geoscience and Remote Sensing (IGARSS), Jul 2014, Quebec City, Canada. pp.3930-3933, ⟨10.1109/IGARSS.2014.6947344⟩ Conference papers hal-02108532v1
	Fuzzy core DBScan clustering algorithm G. Bordogna , Dino Ienco IPMU, Jul 2014, Montpellier, France Conference papers hal-02600410v1
	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 Conference papers lirmm-01076887v1
	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 Conference papers hal-01556565v1
	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⟩ Conference papers hal-02599585v1
	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⟩ Conference papers lirmm-00798072v1
	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 Conference papers hal-02598527v1
	Clustering based active learning for evolving data streams Dino Ienco , Albert Bifet , I. Zliobaite , B. Pfahringer Discovery Science, Oct 2013, Singapour, Singapore. pp.15, ⟨10.1007/978-3-642-40897-7_6⟩ Conference papers hal-02599586v1
	How to Extract Relevant Knowledge from Tweets? Flavien Bouillot , Nhat Hai Phan , Nicolas Béchet , Sandra Bringay , Dino Ienco International Workshop on Information Search, Integration, and Personalization (ISIP), Oct 2012, Sapporo, Japan. pp.111-120, ⟨10.1007/978-3-642-40140-4_12⟩ Conference papers lirmm-00798662v1
	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⟩ Conference papers 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 Conference papers lirmm-00798254v1
	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⟩ Conference papers 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⟩ Conference papers lirmm-00816292v1
	French Presidential Elections: What are the most Efficient Measures for Tweets? Flavien Bouillot , Pascal Poncelet , Mathieu Roche , Dino Ienco , Elnaz Bigdeli PLEAD: Proceedings of the Workshop Politics, Elections and Data, 2012, Maui, United States. pp.23-30, ⟨10.1145/2389661.2389669⟩ Conference papers lirmm-00801028v1
	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⟩ Conference papers 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⟩ Conference papers lirmm-00798076v1
	Healtcare Trajectory Mining by Combining Multi-dimensional Component and Itemsets Elias Egho , Dino Ienco , Nicolas Jay , Amedeo Napoli , Pascal Poncelet NFMCP: New Frontiers in Mining Complex Patterns, Sep 2012, Bristol, United Kingdom. ⟨10.1007/978-3-642-37382-4_8⟩ Conference papers lirmm-00732661v1
	Healthcare trajectory mining by combining multidimensional component and itemsets Elias Egho , Chedy Raïssi , Dino Ienco , Nicolas Jay , Amedeo Napoli ECML-PKDD 2012, Sep 2012, Bristol, United Kingdom. p. 116 - p. 127 Conference papers hal-00801813v1
	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⟩ Conference papers lirmm-00798075v1

	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 ISPRS Journal of Photogrammetry and Remote Sensing, 2024, 215, pp.256-270. ⟨10.1016/j.isprsjprs.2024.06.021⟩ Journal articles hal-04650672v1
	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⟩ Journal articles hal-04476128v1
	Orthrus: multi-scale land cover mapping from satellite image time series via 2D encoding and convolutional neural network Azza Abidi , Dino Ienco , Ali Ben Abbes , Imed Riadh Farah Neural Computing and Applications, 2024, ⟨10.1007/s00521-024-10186-2⟩ Journal articles hal-04667209v1
	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 Remote Sensing, 2024, 16 (3), pp.549. ⟨10.3390/rs16030549⟩ Journal articles hal-04476131v1
	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⟩ Journal articles hal-04476130v1
	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 Remote Sensing of Environment, 2024, 311, pp.114270. ⟨10.1016/j.rse.2024.114270⟩ Journal articles hal-04629344v1
	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⟩ Journal articles hal-04565081v1
	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⟩ Journal articles hal-04097327v1
	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⟩ Journal articles 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⟩ Journal articles hal-04052508v1
	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⟩ Journal articles hal-03882272v1
	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 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023, 16, pp.8884-8899. ⟨10.1109/JSTARS.2023.3316304⟩ Journal articles hal-04184447v1
	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⟩ Journal articles hal-03540913v1
	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 CATENA, 2022, 213, pp.#106152. ⟨10.1016/j.catena.2022.106152⟩ Journal articles hal-03604497v1
	Combining pixel- and object-level information for land-cover mapping using time-series of Sentinel-2 satellite data Azza Abidi , Imed Riadh Farah , Y. Gbodjo , Dino Ienco , I. Farah Remote Sensing Letters, 2022, 13 (2), pp.162-172. ⟨10.1080/2150704X.2021.2001071⟩ Journal articles hal-03574637v1
	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 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, 15, pp.4337-4348. ⟨10.1109/JSTARS.2022.3175609⟩ Journal articles 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⟩ Journal articles lirmm-03738618v1
	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⟩ Journal articles hal-03685581v1
	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⟩ Journal articles 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 Interdonato IEEE Access, 2021, 9, pp.23070-23082. ⟨10.1109/ACCESS.2021.3055554⟩ Journal articles hal-03144053v1
	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⟩ Journal articles hal-03666002v1
	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 Remote Sensing of Environment, 2021, 265, 16 p. ⟨10.1016/j.rse.2021.112652⟩ Journal articles hal-03335248v1
	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⟩ Journal articles hal-04610578v1
	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 Remote Sensing, 2020, 12 (17), ⟨10.3390/rs12172814⟩ Journal articles hal-02931049v1
	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⟩ Journal articles hal-02941804v1
	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⟩ Journal articles 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⟩ Journal articles hal-02950334v1
	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 Ecological Informatics, 2020, 59, pp.101110. ⟨10.1016/j.ecoinf.2020.101110⟩ Journal articles hal-02924709v1
	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⟩ Journal articles hal-02931060v1
	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 Scientific Reports, 2019, 9 (1), pp.19996. ⟨10.1038/s41598-019-56515-7⟩ Journal articles hal-02434228v1
	Combining Sentinel-1 and Sentinel-2 Satellite Image Time Series for land cover mapping via a multi-source deep learning architecture Dino Ienco , R. Interdonato , R. Gaetano , Dinh Ho Tong Minh ISPRS Journal of Photogrammetry and Remote Sensing, 2019, 158, pp.11-22. ⟨10.1016/j.isprsjprs.2019.09.016⟩ Journal articles hal-02609707v1
	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⟩ Journal articles lirmm-02011262v1
	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 International Journal of Applied Earth Observation and Geoinformation, 2019, 74, pp.103-119. ⟨10.1016/j.jag.2018.07.014⟩ Journal articles hal-01931475v1
	Mapping irrigated areas using Sentinel-1 Time series in Catalonia, Spain Hassan Bazzi , Nicolas Baghdadi , Dino Ienco , Mohammad El Hajj , Mehrez Zribi Remote Sensing, 2019, 11 (15), pp.1836. ⟨10.3390/rs11151836⟩ Journal articles hal-02609618v1
	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⟩ Journal articles lirmm-01399605v1
	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⟩ Journal articles 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⟩ Journal articles lirmm-01761235v1
	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 IEEE Geoscience and Remote Sensing Letters, 2018, 15 (3), pp.464-468. ⟨10.1109/LGRS.2018.2794581⟩ Journal articles hal-01931485v1
	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⟩ Journal articles 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⟩ Journal articles hal-01741613v1
	$M^3\text{Fusion}$ : A Deep Learning Architecture for Multiscale Multimodal Multitemporal Satellite Data Fusion Paola Benedetti , Dino Ienco , Raffaele Gaetano , Kenji Ose , Ruggero G. Pensa IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11 (12), pp.4939-4949. ⟨10.1109/JSTARS.2018.2876357⟩ Journal articles hal-01931466v1
	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⟩ Journal articles lirmm-01275509v1
	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⟩ Journal articles 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⟩ Journal articles lirmm-01541930v1
	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⟩ Journal articles hal-01931486v1
	IndexMEED cases studies using "Omics" data with graph theory Romain David , Jean-Pierre Féral , Sophie Archambeau , Fanny Arnaud , David Auber Biodiversity Information Science and Standards, 2017, TDWG 2017 - Proceedings, 1 (2), pp.340-361. ⟨10.3897/tdwgproceedings.1.20740⟩ Journal articles hal-01761535v1
	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⟩ Journal articles lirmm-01399606v1
	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⟩ Journal articles lirmm-01275619v1
	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⟩ Journal articles hal-01374450v1
	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 Journal articles 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⟩ Journal articles lirmm-01275515v1
	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 Engineering Applications of Artificial Intelligence, 2015, 37, pp.91-102. ⟨10.1016/j.engappai.2014.09.001⟩ Journal articles lirmm-01239175v1
	A quality-aware spatial data warehouse for querying hydroecological data Soumia Lilia Berrahou , Nathalie Lalande , Eva Serrano , Guilhem Molla , Laure Berti-Équille Computers & Geosciences, 2015, 85 (part A), pp.126 - 135. ⟨10.1016/j.cageo.2015.09.012⟩ Journal articles hal-01223918v1
	A contribution to the discovery of multidimensional patterns in healthcare trajectories Elias Egho , Nicolas Jay , Chedy Raïssi , Dino Ienco , Pascal Poncelet Journal of Intelligent Information Systems, 2014, 42 (2), pp.283 - 305. ⟨10.1007/s10844-014-0309-4⟩ Journal articles 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⟩ Journal articles lirmm-00798161v1
	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⟩ Journal articles hal-02600409v1
	Animitex : Analyse d'Images fondée sur des Informations Textuelles Mathieu Roche , Maguelonne Teisseire , Bruno Crémilleux , Pierre Gancarski , Christian Sallaberry 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⟩ Journal articles lirmm-01054924v1
	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⟩ Journal articles hal-00794744v1
	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⟩ Journal articles hal-02598479v1
	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⟩ Journal articles 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⟩ Journal articles hal-00675583v1

	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 INRAE; OFB, Office Français de la Biodiversité. 2024 Reports hal-04469226v2
	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 Reports 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 Reports hal-01717524v1
	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 Reports hal-01717531v1
	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 Reports hal-01585563v1
	Presidential Election 2012: How French politicians tweet? Flavien Bouillot , Dino Ienco , Stan Matwin , Pascal Poncelet , Mathieu Roche RR-12011, 2012 Reports lirmm-00688651v1

	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 2024 Preprints, Working Papers, ... hal-04547452v1

	Discovery Science Poncelet Pascal , Dino Ienco 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 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 hal-02609706v1
	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 lirmm-01382023v1

	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 Conference poster 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 Auber RDA Ninth Plenary Meeting "Data Infrastructures for Open Science", Apr 2017, Barcelona, Spain. , 2017, ⟨10.13140/RG.2.2.32504.44806⟩ Conference poster hal-02295974v1
	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 Conference poster lirmm-01239194v1

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

	Foundations and state of the art Nathalie Mitton , Ludovic Brossard , Tassadit Bouadi , Frédérick Garcia , Romain Gautron 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 Book sections 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⟩ Book sections lirmm-01910660v1

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

	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=/⟩ Software lirmm-02136558v1

Dino Ienco

Publications

Integrating Predictive Process Monitoring Techniques in Smart Agriculture

DisCoM-KD: Cross-Modal Knowledge Distillation via Disentanglement Representation and Adversarial Learning

Coarse-to-Fine Concept Bottleneck Models

PDiscoFormer: Relaxing Part Discovery Constraints with Vision Transformers

Semi Supervised Heterogeneous Domain Adaptation via Disentanglement and Pseudo-Labelling

Encodage 2D de séries temporelles d'imagerie satellitaires pour l'amélioration

Masking Strategies for Background Bias Removal in Computer Vision Models

Sparse Linear Concept Discovery Models

PDiscoNet: Semantically consistent part discovery for fine-grained recognition

Counterfactual Explanations for Remote Sensing Time Series Data: an Application to Land Cover Classification

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

Estimating Forest Heights and Wood Volume using a Deep Learning Approach from Gedi Waveform Data

Dealing with missing modalities at test time for land cover mapping: A case study on multi-source optical data

Evaluate Pseudo Labeling and CNN for Multi-variate Time Series Classification in Low-Data Regimes

On Enhanced Ensemble Learning for Multimodal Remote Sensing Data Analysis by Capacity Optimization

A neural network strategy for supervised classification via the learning under privileged information paradigm

CHANNEL-BASED ATTENTION FOR LCC USING SENTINEL-2 TIME SERIES

Classification multi-modale de l'occupation du sol à partir de réseaux de neurones convolutifs et de l'auto-distillation

An inductive framework for semi-supervised learning

Adaptation de domaine pour la cartographie de l'occupation des sols à partir de séries temporelles d'images satellitaires optiques

Irrigation mapping using Sentinel-1 time series

Deep Multivariate Time Series Embedding Clustering via Attentive-Gated Autoencoder

Potential of Sentinel-1 and Sentinel-2 data for mapping irrigated areas at plot scale

Supervised level-wise pretraining for sequential data classification

Combining Sentinel-1 and Sentinel-2 time series via RNN for object-based land cover classification

Deep triplet-driven semi-supervised embedding clustering

Optical image gap filling using deep convolutional autoencoder from optical and radar images

Semi-Supervised Clustering With Multiresolution Autoencoders

Visual Querying of Large Multilayer Graphs

Multi-annual Satellite Image Time Series Analysis using an Object-Oriented Approach

APPLICATION OF DEEP LEARNING OF MULTI-TEMPORAL SENTINEL-1 IMAGES FOR THE CLASSIFICATION OF COASTAL VEGETATION ZONE OF THE DANUBE DELTA

How to Deal with Multi-source Data for Tree Detection Based on Deep Learning

Node-Centric Community Detection in Multilayer Networks with Layer-Coverage Diversification Bias

Local community detection in multilayer networks

Deep learning is a good steganalysis tool when embedding key is reused for different images, even if there is a cover source-mismatch

SuMGra: Querying Multigraphs via Efficient Indexing

Querying RDF Data Using A Multigraph-based Approach

Multilayer Graph Edge Bundling

Étude des réseaux de neurones sur la stéganalyse

RetweetPatterns: Detection of Spatio-Temporal Patterns of Retweets

Multilingual document classification via transductive learning

Towards Linked Data Extraction From Tweets

Layer-Centered Approach for Multigraphs Visualization

Mining Multi-Relational Gradual Patterns

Knowledge-Based Representation for Transductive Multilingual Document Classification

High density-focused uncertainty sampling for active learning over evolving stream data

Semantic-Based Multilingual Document Clustering via Tensor Modeling

Towards the use of sequential patterns for detection and characterization of natural and agricultural areas

Identifying cropped areas in small growers agricultural regions using data mining for food security

Monitoring the phenology of mediterranean natural habitats with multispectral sensors: an analysis based on multiseasonal field spectra

Semantic-based multilingual document clustering via tensor modeling

Change detection in categorical evolving data streams

Exploring high repetitivity remote sensing time series for mapping and monitoring natural habitats — A new approach combining OBIA and k-partite graphs

Fuzzy core DBScan clustering algorithm

Contextual Itemset Mining in DBpedia

Détection de changements dans des flots de données qualitatives

Knowledge-free table summarization

Mining Representative Movement Patterns through Compression

Do more views of a graph help? Community detection and clustering in multi-Graphs

Clustering based active learning for evolving data streams

How to Extract Relevant Knowledge from Tweets?

An Unsupervised Framework for Topological Relations Extraction from Geographic Documents

Vers une méthode automatique de construction de hiérarchies contextuelles

Mining Fuzzy Moving Object Clusters

Toward Geographic Information Harvesting: Extraction of Spatial Relational Facts from Web Documents

French Presidential Elections: What are the most Efficient Measures for Tweets?

Extracting Trajectories through an Efficient and Unifying Spatio-Temporal Patten Mining System

Mining Time Relaxed Gradual Moving Object Clusters

Healtcare Trajectory Mining by Combining Multi-dimensional Component and Itemsets

Healthcare trajectory mining by combining multidimensional component and itemsets

Towards an Automatic Construction of Contextual Attribute-Value Taxonomies

Explaining the decisions and the functioning of a convolutional spatiotemporal land cover classifier with channel attention and redescription mining

Multi-source deep-learning approach for automatic geomorphological mapping: the case of glacial moraines

Orthrus: multi-scale land cover mapping from satellite image time series via 2D encoding and convolutional neural network

Determining Effective Temporal Windows for Rapeseed Detection Using Sentinel-1 Time Series and Machine Learning Algorithms

A constrastive semi-supervised deep learning framework for land cover classification of satellite time series with limited labels

Generation of country-scale canopy height maps over Gabon using deep learning and TanDEM-X InSAR data

Early Season Forecasting of Corn Yield at Field Level from Multi-Source Satellite Time Series Data