Publications

Journals

(43) C. Gomez, M. S. Aboubacar, D. Ienco, D. Feurer, Z. Jenhaoui, A. Rafla, M. Teisseire, J.-S. Bailly: Sentinel-2 images to assess soil surface characteristics over a rainfed Mediterranean cropping system. CATENA, 213, (2022).

(42) J Desloires, D Ienco, A Botrel, N Ranc: Positive Unlabelled Learning for Satellite Images’ Time Series Analysis: An Application to Cereal and Forest Mapping. Remote Sensing 14 (1), 140

(41) A. Abidi, A.Ben Abbes, Y. J. E. Gbodjo, D. Ienco and I. R. Farah : Combining pixel- and object-level information for land-cover mapping using time-series of Sentinel-2 satellite data. Remote Sensing Letters - accepted for publication - (2022).

(40) Y. J. E. Gbodjo, D. Ienco and L. Leroux : Benchmarking statistical modelling approaches with multi-source remote sensing data for millet yield monitoring: A case study of the Groundnut basin in central Senegal. International Journal of Remote Sensing - accepted for publication - (2021).

(39) Y. J. E. Gbodjo, D. Ienco, R. Gaetano and S. Dupuy : Multi-sensor land cover classification with sparsely annotated data based on Convolutional Neural Networks and Self-Distillation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing - accepted for publication - (2021).

(38) S. Yang, D. Ienco, R. Esposito, R. G. Pensa. ESA*: A Generic Framework for Semi-supervised Inductive Learning. Neurocomputing - accepted for publication - (2021).

(37) E. Cuenca, A. Sallaberry, D. Ienco, P. Poncelet. VERTIGo: a Visual Platform for Querying and Exploring Large Multilayer Networks. IEEE TVCG - accepted for publication - (2021).

(36) A. M. Censi, Y. J. E. Gbodjo, D. Ienco, R. Interdonato, R. Gaetano, R. G. Pensa. Attentive Spatial Temporal Graph CNN for landcover mapping from multi temporal remote sensing data. IEEE Access 9: 23070-23082 (2021).

(35) D. Ienco, R. Gaetano, Y. J. E. Gbodjo, R. Interdonato. Weakly Supervised learning for land cover mapping of satellite image time series via attention-based CNN. IEEE Access 8: 179547-179560 (2020).

(34) G. Marre, C. De Almeida Braga, D. Ienco, S. Luque, F. Holon and J. Deter. Deep convolutional neural networks to monitor coralligenous reefs: operationalizing biodiversity and ecological assessment. Ecological Informatics (59) 101110 (2020)

(33) E. Kalinicheva, J. Sublime, M. Trocan and D. Ienco. Unsupervised Change Detection Analysis in Satellite Image Time Series using Deep Learning Combined with Graph-Based Approaches. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 1450-1466 (2020)

(32) H. Bazzi, D. Ienco, N. Baghdadi, M. Zribi, and V. Demarez: Distilling before Rene: Spatio-Temporal Transfer Learning for Mapping Irrigated Areas using Sentinel-1 Time Series. IEEE Geosci. Remote Sensing Lett. 17(11): 1909-1913 (2020).

(31) H. Bazzi, N. Baghdadi, D. Ienco, M. El Hajj, M. Zribi, H. Belhouchette, M. J. Escorihuela and V. Demarez. Mapping Irrigated Areas Using Sentinel-1 Time Series in Catalonia, Spain. Remote. Sens. 11(15): 1836 (2020).

(30) J.E. Y. Gbodjo, D. Ienco and L. Leroux: Towards Spatio-Spectral analysis of Sentinel-2 Time Series data for land cover mapping IEEE Geosci. Remote Sensing Lett. 17(2): 307-311 (2020)

(29) G. Legras, N. Loiseau, J.-C. Gaertner, J.-C. Poggiale, D. Ienco, N. Mazouni and B. Mérigot. Assessment of congruence between co-occurrence and functional networks: A new framework for revealing community assembly rules. Scientific Reports, Springer. Vol. 9, Article number: 19996 (2019).

(28) D. Ienco, R. Interdonato, R. Gaetano and D. Ho Tong Minh: Combining Sentinel-1 and Sentinel-2 Satellite Image Time Series for land cover mapping via a multi-source deep learning architecture. ISPRS journal of photogrammetry and remote sensing. 158: 11-22 (2019).

(27) R. Interdonato, D. Ienco, R. Gaetano and K. Ose: DuPLO: A DUal view Point deep Learning architecture for time seriesclassi.catiOn. ISPRS journal of photogrammetry and remote sensing. 149: 91-104 (2019).

(26) R. Gaetano, D. Ienco, K. Ose and R. Cresson. A two-branch CNN architecture for land cover classification of PAN and MS imagery. Remote Sensing.10(11): 1746 (2018).

(25) P. Benedetti, D. Ienco, R. Gaetano, K. Ose, R. G. Pensa, S. Dupuy. M3Fusion: A Deep Learning Architecture for Multi-{Scale/Modal/Temporal} satellite data fusion. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.11(12): 4939-4949(2018).

(24) L. Khiali , M. Ndiath , S. Alleaume , D. Ienco , K. Ose , M. Teisseire. Detection of Spatio-Temporal Evolutions on Multi-annual Satellite Image Time Series: A Clustering Based Approach. Int. J. Applied Earth Observation and Geoinformation 74: 103-119 (2019).

(23) V. Ingalalli, D. Ienco and P. Poncelet: Mining Frequent Subgraphs in Multigraphs. Inf. Sci. 451-452: 50-66 (2018)

(22) D. Ho Tong Minh, D. Ienco, R. Gaetano, N. Lalande, E. Ndikumana, F. Osman, and P. Maurel: Deep Recurrent Neural Networks for winter vegetation quality mapping via multi-temporal SAR Sentinel-1 IEEE Geosci. Remote Sensing Lett. 15(3): 464-468 (2018)

(21) L. Khiali, D. Ienco and M. Teisseire: Object-Oriented Satellite Image Time Series Analysis using a Graph-Based representation. Ecological Informatics 43: 52-64 (2018)

(20) D. Ienco and G. Bordogna: Fuzzy Extensions of the DBScan Clustering Algorithm. Soft Comput., 22(5): pp 1719-1730 (2018)

(19) D. Ienco, R. Gaetano, C. Dupaquier and P. Maurel: Land Cover Classification via Multi-temporal Spatial Data by Deep Recurrent Neural Networks IEEE Geosci. Remote Sensing Lett. 14(10): 1685-1689 (2017)

(18) R. Interdonato, A. Tagarelli, D. Ienco, A. Sallaberry, P. Poncelet: Local community detection in multilayer networks. Data Min. Knowl. Discov. 31(5): 1444-1479 (2017)

(17) F. Guttler, D. Ienco, J. Nin, M. Teisseire and P. Poncelet: A graph-based approach to detect spatiotemporal dynamics in satellite image time series. ISPRS Journal of Photogrammetry and Remote Sensing 130: pp 92-107 (2017)

(16) D. Ienco, R.G. Pensa and R. Meo. A Semi-Supervised Approach to the Detection and Characterization of Outliers in Categorical Data. IEEE Trans. Neural Networks Learn. Syst. 28(5): 1017-1029 (2017).

(15) D. Ienco, M. Roche, S. Romeo, P. Rosso and A. Tagarelli: ECIR 2016 Workshop on Modeling, Learning and Mining for Cross/Multilinguality (MultiLingMine ’16). SIGIR FORUM, 50(2): pp 89-95 (2016)

(14) V. Ingalalli, D. Ienco and P. Poncelet: Leveraging efficient indexing schema to support multi-graph query answering Ingénierie des Systèmes d’Information 21(3): 53-74 (2016)

(13) D. Ienco and R.G. Pensa. Positive and unlabeled learning in categorical data. Neurocomputing, 196: 113-124 (2016)

(12) F. Guttler, D. Ienco, P. Poncelet and M. Teisseire. Combining Transductive and Active Learning to Improve Object-based Classification of Remote Sensing Images. Remote Sensing Letters, 7(4): 358-367 (2016)

(11) P. Arcaini, G. Bordogna, D. Ienco and S. Sterlacchini. User-driven geo-temporal density-based exploration of periodic and not periodic events reported in social networks. Information Sciences - 340-341: 122-143 (2016)

(10) S. L. Berrahou, N. Lalande, E. Serrano, G. Molla, L. Berti-equille, S. Bimonte, S. Bringay, F. Cernesson, C. Grac, D. Ienco, F. Le Ber and M. Teisseire. A quality-aware spatial data warehouse for querying hydroecological data. Computers & Geosciences, 85: 126-135 (2015)

(9) Y. Pitarch, D. Ienco, E. Vintrou, A. Bégué, A. Laurent, P. Poncelet and M. Teisseire Spatio-Temporal Data Classification through multi-dimensional sequential patterns: application to food risk analysis. Engineering Application of Artificial Intelligence (EAAI), 37: 91-102 (2015)

(8) E. Egho, N. Jay, D. Ienco, C. Raissi, P. Poncelet, M. Teisseire and A. Napoli A contribution to the discovery of multidimensional patterns in healthcare trajectories. Journal of Intelligent Information Systems (JIIS), 42(2): 283-305 (2014).

(7) R.G. Pensa, D. Ienco and R. Meo Hierarchical Co-Clustering: Off-line and Incremental Approaches. Data Mining and Knowledge Discovery Journal (DAMI), 28(1): 31-64 (2014).

(6) E. Vintrou, D. Ienco, A. Bégué and M. Teisseire. Data mining, a promising tool for large area cropland mapping IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6(5): 2132-2138 (2013)

(5) D. Ienco, R.G. Pensa and R. Meo. From Context to Distance: Learning Dis- similarity for Categorical Data Clustering. ACM Transaction on Knowledge Discovery from Data (TKDD), 6(1): 1-29 (2012)

(4) F. Bonchi, C. Castillo and D. Ienco Meme Ranking to Maximize Posts Virality in Microblogging Platforms. Journal of Intelligent Information System (JIIS), 40(2): 211-239 (2013)

(3) D. Ienco, C. Robardet, R. G. Pensa and R. Meo Parameter-Less Co- Clustering for Star-Structured Heterogeneous Data. Data Mining and Knowledge Discovery Journal (DAMI), 26(2): 217-254 (2013)

(2) R. Meo, D. Bachar and D. Ienco A distance-based classifier built on ensembles of positive and negative observations. Pattern Recognition, 45(4): 1409-1425 (2012)

(1) P. Bonfante , F. Cordero , S. Ghignone , D. Ienco , L. Lanfranco, G. Leonardi, R. Meo, S. Montani, L. Roversi, and A. Visconti A Modular Database Architecture Enabled to Comparative Sequence Analysis. LNCS Transactions on Large- Scale Data and Knowledge-Centered Systems, Springer, 124-147 (2011)

International Conferences

D. Ienco, R. Interdonato and R. Gaetano Supervised level-wise pretraining for Sequential Data Classification International Conference on Neural Information Processing - ICONIP20

D. Ienco and R. Interdonato "Deep Multivariate Time Series Embedding Clustering via Attentive-Gated Autoencoder"- Pacific Asian conference on Data Mining and Knowledge Discovery - PAKDD20

D. Ienco and R.G. Pensa "Deep Triplet-Driven Semi-Supervised Embedding Clustering" (Discovery Science) - DS19

D. Ienco and R.G. Pensa "Semi-Supervised Clustering with Multiresolution Autoencoders" (IEEE International Joint Conference on Neural Network) - IJCNN18 [presentation]

L. Khiali, D. Ienco and M. Teisseire "Multi-annual Satellite Image Time Series Analysis using an Object-Oriented Approach" - (GEographical Object-Based Image Analysis) - Geobia18

L. Pibre, M. Chaumont, G. Subsol, D. Ienco and M. Derras "How to deal with multi-source data fro tree detection based on deep learning" (IEEE GlobalSIP Symposium on Sparse Signal Processing and Deep Learning) - GlobalSIP17

R. Interdonato, A. Tagarelli, D. Ienco, A. Sallaberry and P. Poncelet "Local Community Detection in Multilayer Networks" (IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining) - ASONAM16

V. Ingalalli, D. Ienco and P. Poncelet "SuMGra: Querying Multigraphs via Efficient Indexing" (International Conference on Database and Expert Systems Applications) - DEXA16

R. Bourqui, D. Ienco, A. Sallaberry and P. Poncelet "Multilayer graph edge bundling" (IEEE Pacific Visualization) - PacificVis16

D. Ienco, M. Roche, S. Romeo, P. Rosso, A. Tagarelli "MultiLingMine 2016: Modeling, Learning and Mining for Cross/Multilinguality" (European Conference on Information Retrieval) - ECIR16

V. Ingalalli, D. Ienco, P. Poncelet and S. Villata: "Querying RDF Data Using A Multigraph-based Approach" (International Conference on Extending Database Technology) - EDBT16

D. Redondo, A. Sallaberry, D. Ienco, F. Zaidi and P. Poncelet "Layer- Centered Approach for Multigraphs Visualization" (Information Visualisation Theory And Practice) - IV15

S. Romeo, D. Ienco and A. Tagarelli. "Knowledge-based Representation for Transductive Multilingual Document Classification" (European Conference on Infor- mation Retrieval) - ECIR15

S. Romeo, A. Tagarelli and D. Ienco. "Semantic-Based Multilingual Docu- ment Clustering via Tensor Modeling" (Conference on Empirical Methods in Natural Language Processing) - EMNLP14

S. Romeo, A. Tagarelli and D. Ienco. "Clustering View-Segmented Docu- ments via Tensor Modeling" (International Symposium on Methodologies for Intelli- gent Systems) - ISMIS14

F. Guttler, S. Alleaume, C. Corbane, D. Ienco, J. Nin, P. Poncelet and M. Teisseire. "Exploring high repetitivity remote sensing time series for mapping and monitoring natural habitats - a new approach combining OBIA with K-Partite Graph" (IEEE International Geoscience and Remote Sensing Symposium) - IGARSS14

D. Ienco and G. Bordogna "Fuzzy Core DBScan Clustering Algorithm" (Information Processing and Management of Uncertainty in Knowledge-Based Sys- tems) - IPMU14

Fabio Guttler, Dino Ienco, Maguelonne Teisseire, Jordi Nin, Pascal Poncelet "Towards the Use of Sequential Patterns for Detection and Characterization of Natural and Agricultural Areas" (Information Processing and Management of Uncertainty in Knowledge-Based Systems) - IPMU14

D. Ienco, A. Bifet, B. Pfahringer and P. Poncelet "Change Detection in Categorical Evolving Data Streams" (ACM Symposium of Applied Computing) - SAC14

D. Ienco, A. Bifet, I. Zliobait`e and B. Pfahringer "Clustering based Active Learning for Evolving Data Streams" (Discovery Science) - DS13

D. Ienco, Y. Pitarch, P. Poncelet and M. Teisseire "Knowledge-free Table Summarization" (International Conference on Data Warehousing and Knowledge Dis- covery) - DAWAK13

E. E. Papalexakis, L. Akoglu and D. Ienco. "Do more views of a graph help? Community Detection and Clustering in Multi-Graphs". (IEEE International Conference on Information Fusion) - FUSION13

H. Phan Nhat, D. Ienco, P. Poncelet and M. Teisseire. "Mining Representative Movement Patterns through Compression". (Pacific-Asia Conference on Knowledge Discovery and Data Mining) - PAKDD13

H. Phan Nhat, D. Ienco, P. Poncelet and M. Teisseire. "Mining Fuzzy Moving Object Clusters". (International Conference on Advanced Data Mining and Applica- tions) - ADMA12

H. Phan Nhat, D. Ienco, P. Poncelet and M. Teisseire. "Mining Time Relaxed Gradual Moving Object Clusters". (ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems) - ACM GIS12

C. Loglisci, D. Ienco, M. Roche, M. Teisseire and D. Malerba "An Unsupervised Framework for Topological Relations Extraction from Geographic Documents" (International Conference on Database and Expert Systems Applications) - DEXA12

D. Ienco, Y. Pitarch, P. Poncelet and M. Teisseire "Towards an Automatic Construction of Contextual Attribute-Value Taxonomies" (ACM Symposium on Ap- plied Computing, Data Mining Track) - SAC12

S. Spinella, E. Sciacca, D. Ienco and P. Giannini "Annotated Stochastic Context Free Grammars for Analysis and Synthesis of Proteins" (Eur. Conf. on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics) - EVOBIO11

G. Boella, S. Colombo Tosatto, A. d’Avila Garcez, V. Genovese, D. Ienco and L. van der Torre "Neural Symbolic Systems for Normative Agents" (In Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems) - AAMAS11

F. Cordero, R.G. Pensa, A. Visconti, D. Ienco, M. Botta. Ontology-driven Coclustering of Gene Expression Data— (In Proceedings of the 11th Conference of the Italian Association for Artificial Intelligence) - AI*IA09 -

D. Ienco, R.G. Pensa and R. Meo. Parameter-free Hierarchical Co- Clustering by N-Ary Splits (European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases) - ECML-PKDD09

D. Ienco, R.G. Pensa and R. Meo. Context-based Distance Learning for Categorical Data Clustering (Symposium on Intelligent Data Analysis) - IDA09

D. Ienco, R. Meo. Exploration and Reduction of the Feature Space by Hierarchical Clustering (SIAM International Conference on Data Mining) - SDM08.

D. Ienco, S. Villata and C. Bosco. Subcategorization frame extraction for Italian (Language Resources Evaluation Conference) - LREC08.

D. Ienco, R. Meo. Towards Automatic Construction of Conceptual Taxonomies (International Conference on Data Warehousing and Knowledge Discovery) - DAWAK08

International Workshops and Demos

E. Cuenca, A. Sallaberry, D. Ienco and P. Poncelet "Visual Querying of Large Multilayer Graphs" (Scientific and Statistical Database Management) - SSDBM 2018: 32:1-32:4

M. Vigo, Z. Bellahsene, D. Ienco and K. Todorov "Twitter Event Detection and Modeling with TEWS" (International Semantic Web Conference) - ISWC15

R.G. Pensa and D. Ienco "Learning from Categorical Attribute Relationships for Positive-Unlabeled Classification" (European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases) - RL14@ECML- PKDD14 - 2014

D. Ienco, I. Zliobaite and B. Pfahringer "High density-focused uncertainty sampling for active learning over evolving stream data" (ACM KDD Conference) - BigMine14@KDD14 - 2014

C. Loglisci, D. Ienco, M. Roche, M. Teisseire and D. Malerba "Toward Geographic Information Harvesting: Extraction of Spatial Relational Facts from Web Documents" (ICDM IEEE Workshop Spatial and Spatio-Temporal Data Mining) - SSTDM12@ICDM12 - 2012

E. Egho, D. Ienco, N. Jay, A. Napoli, P. Poncelet, C. Quantin, C. Raissi and M. Teisseire "Healthcare Trajectory Mining by Combining Multi-dimensional Compo- nent and Itemsets" (European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases) - NFMCP@ECML-PKDD12 - 2012

N. H. Phan, D. Ienco, P. Poncelet, and M. Teisseire "Extracting Trajectories through an Efficient and Unifying Spatio-Temporal Patten Mining System" (European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases) - ECML-PKDD12 - 2012

D. Ienco, F. Bonchi, C. Castillo. "The Meme Ranking Problem: Maximizing Microblogging Virality" (ICDM IEEE Workshop on Social Interactions Analysis and Service Providers) - SIASP10@ICDM10 - 2010

National Conferences

D. Ienco, A. Bifet, B. Pfahringer and P. Poncelet D ́etection de changements dans des flots de donn ́ees qualitatives (Conference Internationale Francophone sur l’Extraction et la Gestion de Connaissance) - EGC14

D. Ienco, Y. Pitarch, P. Poncelet and M. Teisseire Vers une methode au- tomatique pour la construction de hirarchies contextuelles (Conference Internationale Francophone sur l’Extraction et la Gestion de Connaissance) - EGC12

D. Ienco, R. Meo. Distance based Clustering for Categorical Data (Italian Symposium on Advanced Database Systems) - SEBD09.

D. Ienco, R. Meo. Clustering the Feature Space (Italian Symposium on Advanced Database Systems) - SEBD08.

D. Ienco, R. Meo, M. Botta. Using PageRank in Feature Selection (Ital- ian Symposium on Advanced Database Systems) - SEBD08.