Towards the Automatic Construction of Conceptual Taxonomies. - Dino Ienco; Rosa Meo (DaWaK, 2008)

Automatic extraction of subcategorization frames for Italian. - Dino Ienco; Serena Villata; Cristina Bosco (LREC, 2008)

Exploration and Reduction of the Feature Space by Hierarchical Clustering. - Dino Ienco; Rosa Meo (SDM, 2008)

Clustering the Feature Space. - Dino Ienco; Rosa Meo (SEBD, 2008)

Using PageRank in Feature Selection. - Dino Ienco; Rosa Meo; Marco Botta (SEBD, 2008)

Ontology-Driven Co-clustering of Gene Expression Data. - Francesca Cordero; Ruggero G. Pensa; Alessia Visconti; Dino Ienco; Marco Botta (AI*IA, 2009)

Context-Based Distance Learning for Categorical Data Clustering. - Dino Ienco; Ruggero G. Pensa; Rosa Meo (IDA, 2009)

Parameter-Free Hierarchical Co-clustering by n-Ary Splits. - Dino Ienco; Ruggero G. Pensa; Rosa Meo (ECML/PKDD (1), 2009)

Distance based Clustering for Categorical Data. - Dino Ienco; Rosa Meo (SEBD, 2009)

The Meme Ranking Problem: Maximizing Microblogging Virality. - Dino Ienco; Francesco Bonchi; Carlos Castillo 001 (ICDM Workshops, 2010)

Neural symbolic architecture for normative agents. - Guido Boella; Silvano Colombo Tosatto; Artur S. d'Avila Garcez; Valerio Genovese; Dino Ienco; Leendert W. N. van der Torre (AAMAS, 2011)

Annotated Stochastic Context Free Grammars for Analysis and Synthesis of Proteins. - Eva Sciacca; Salvatore Spinella; Dino Ienco; Paola Giannini (EvoBio, 2011)

A Modular Database Architecture Enabled to Comparative Sequence Analysis. - Paola Bonfante; Francesca Cordero; Stefano Ghignone; Dino Ienco; Luisa Lanfranco; Giorgio Leonardi; Rosa Meo; Stefania Montani; Luca Roversi; Alessia Visconti (Trans. Large Scale Data Knowl. Centered Syst., 2011)

Mining Fuzzy Moving Object Clusters. - Phan Nhat Hai; Dino Ienco; Pascal Poncelet; Maguelonne Teisseire (ADMA, 2012)

French presidential elections: what are the most efficient measures for tweets? - Flavien Bouillot; Pascal Poncelet; Mathieu Roche; Dino Ienco; Elnaz Bigdeli; Stan Matwin (PLEAD@CIKM, 2012)

An Unsupervised Framework for Topological Relations Extraction from Geographic Documents. - Corrado Loglisci; Dino Ienco; Mathieu Roche; Maguelonne Teisseire; Donato Malerba (DEXA (2), 2012)

Vers une méthode automatique de construction de hiérarchies contextuelles. - Dino Ienco; Yoann Pitarch; Pascal Poncelet; Maguelonne Teisseire (EGC, 2012)

Mining time relaxed gradual moving object clusters. - Phan Nhat Hai; Dino Ienco; Pascal Poncelet; Maguelonne Teisseire (SIGSPATIAL/GIS, 2012)

Toward Geographic Information Harvesting: Extraction of Spatial Relational Facts from Web Documents. - Corrado Loglisci; Dino Ienco; Mathieu Roche; Maguelonne Teisseire; Donato Malerba (ICDM Workshops, 2012)

How to Extract Relevant Knowledge from Tweets? - Flavien Bouillot; Phan Nhat Hai; Nicolas Béchet; Sandra Bringay; Dino Ienco; Stan Matwin; Pascal Poncelet; Mathieu Roche; Maguelonne Teisseire (ISIP, 2012)

Healthcare Trajectory Mining by Combining Multidimensional Component and Itemsets. - Elias Egho; Chedy Raïssi; Dino Ienco; Nicolas Jay; Amedeo Napoli; Pascal Poncelet; Catherine Quantin; Maguelonne Teisseire (NFMCP, 2012)

Extracting Trajectories through an Efficient and Unifying Spatio-temporal Pattern Mining System. - Phan Nhat Hai; Dino Ienco; Pascal Poncelet; Maguelonne Teisseire (ECML/PKDD (2), 2012)

Towards an automatic construction of Contextual Attribute-Value Taxonomies. - Dino Ienco; Yoann Pitarch; Pascal Poncelet; Maguelonne Teisseire (SAC, 2012)

LODE: A distance-based classifier built on ensembles of positive and negative observations. - Rosa Meo; Dipankar Bachar; Dino Ienco (Pattern Recognit., 2012)

From Context to Distance: Learning Dissimilarity for Categorical Data Clustering. - Dino Ienco; Ruggero G. Pensa; Rosa Meo (ACM Trans. Knowl. Discov. Data, 2012)

Knowledge-Free Table Summarization. - Dino Ienco; Yoann Pitarch; Pascal Poncelet; Maguelonne Teisseire (DaWaK, 2013)

Clustering Based Active Learning for Evolving Data Streams. - Dino Ienco; Albert Bifet; Indre Zliobaite; Bernhard Pfahringer (Discovery Science, 2013)

Do more views of a graph help? Community detection and clustering in multi-graphs. - Evangelos E. Papalexakis; Leman Akoglu; Dino Ienco (FUSION, 2013)

Mining Representative Movement Patterns through Compression. - Phan Nhat Hai; Dino Ienco; Pascal Poncelet; Maguelonne Teisseire (PAKDD (1), 2013)

Parameter-less co-clustering for star-structured heterogeneous data. - Dino Ienco; Céline Robardet; Ruggero G. Pensa; Rosa Meo (Data Min. Knowl. Discov., 2013)

Meme ranking to maximize posts virality in microblogging platforms. - Francesco Bonchi; Carlos Castillo 001; Dino Ienco (J. Intell. Inf. Syst., 2013)

Data Mining, A Promising Tool for Large-Area Cropland Mapping. - Elodie Vintrou; Dino Ienco; Agnès Bégué; Maguelonne Teisseire (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013)

Semantic-Based Multilingual Document Clustering via Tensor Modeling. - Salvatore Romeo; Andrea Tagarelli; Dino Ienco (EMNLP, 2014)

Détection de changements dans des flots de données qualitatives. - Dino Ienco; Albert Bifet; Bernhard Pfahringer; Pascal Poncelet (EGC, 2014)

Monitoring the phenology of mediterranean natural habitats with multispectral sensors - An analysis based on multiseasonal field spectra. - Christina Corbane; Fabio Guttler; Samuel Alleaume; Dino Ienco; Maguelonne Teisseire (IGARSS, 2014)

Exploring high repetitivity remote sensing time series for mapping and monitoring natural habitats - A new approach combining OBIA and k-partite graphs. - Fabio Guttler; Samuel Alleaume; Christina Corbane; Dino Ienco; Jordi Nin; Pascal Poncelet; Maguelonne Teisseire (IGARSS, 2014)

Fuzzy Core DBScan Clustering Algorithm. - Gloria Bordogna; Dino Ienco (IPMU (3), 2014)

Towards the Use of Sequential Patterns for Detection and Characterization of Natural and Agricultural Areas. - Fabio Guttler; Dino Ienco; Maguelonne Teisseire; Jordi Nin; Pascal Poncelet (IPMU (1), 2014)

Clustering View-Segmented Documents via Tensor Modeling. - Salvatore Romeo; Andrea Tagarelli; Dino Ienco (ISMIS, 2014)

High density-focused uncertainty sampling for active learning over evolving stream data. - Dino Ienco; Indre Zliobaite; Bernhard Pfahringer (BigMine, 2014)

Contextual Itemset Mining in DBpedia. - Julien Rabatel; Madalina Croitoru; Dino Ienco; Pascal Poncelet (LD4KD, 2014)

Change detection in categorical evolving data streams. - Dino Ienco; Albert Bifet; Bernhard Pfahringer; Pascal Poncelet (SAC, 2014)

Hierarchical co-clustering: off-line and incremental approaches. - Ruggero G. Pensa; Dino Ienco; Rosa Meo (Data Min. Knowl. Discov., 2014)

A contribution to the discovery of multidimensional patterns in healthcare trajectories. - Elias Egho; Nicolas Jay; Chedy Raïssi; Dino Ienco; Pascal Poncelet; Maguelonne Teisseire; Amedeo Napoli (J. Intell. Inf. Syst., 2014)

Knowledge-Based Representation for Transductive Multilingual Document Classification. - Salvatore Romeo; Dino Ienco; Andrea Tagarelli (ECIR, 2015)

Towards Linked Data Extraction From Tweets. - Manel Achichi; Zohra Bellahsene; Dino Ienco; Konstantin Todorov (EGC, 2015)

Multilingual Document Classification via Transductive Learning. - Salvatore Romeo; Dino Ienco; Andrea Tagarelli (IIR, 2015)

Layer-Centered Approach for Multigraphs Visualization. - Denis Redondo; Arnaud Sallaberry; Dino Ienco; Faraz Zaidi; Pascal Poncelet (IV, 2015)

Mining Multi-Relational Gradual Patterns. - NhatHai Phan; Dino Ienco; Donato Malerba; Pascal Poncelet; Maguelonne Teisseire (SDM, 2015)

Twitter Event Detection and Modeling with TEWS. - Mykael Vigo; Zohra Bellahsene; Dino Ienco; Konstantin Todorov (ISWC (Posters & Demos), 2015)

Deep Learning for steganalysis is better than a Rich Model with an Ensemble Classifier, and is natively robust to the cover source-mismatch. - Lionel Pibre; Jérôme Pasquet; Dino Ienco; Marc Chaumont (CoRR, 2015)

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; Pascal Poncelet; Michel Sala; Maguelonne Teisseire (Eng. Appl. Artif. Intell., 2015)

A quality-aware spatial data warehouse for querying hydroecological data. - Lilia Berrahou; Nathalie Lalande; Eva Serrano; Guihem Molla; Laure Berti-Équille; Sandro Bimonte; Sandra Bringay; Flavie Cernesson; Corinne Grac; Dino Ienco; Florence Le Ber; Maguelonne Teisseire (Comput. Geosci., 2015)

Multilayer graph edge bundling. - Romain Bourqui; Dino Ienco; Arnaud Sallaberry; Pascal Poncelet (PacificVis, 2016)

SuMGra: Querying Multigraphs via Efficient Indexing. - Vijay Ingalalli; Dino Ienco; Pascal Poncelet (DEXA (1), 2016)

MultiLingMine 2016: Modeling, Learning and Mining for Cross/Multilinguality. - Dino Ienco; Mathieu Roche; Salvatore Romeo; Paolo Rosso; Andrea Tagarelli (ECIR, 2016)

Querying RDF Data Using A Multigraph-based Approach. - Vijay Ingalalli; Dino Ienco; Pascal Poncelet; Serena Villata (EDBT, 2016)

Deep learning is a good steganalysis tool when embedding key is reused for different images, even if there is a cover sourcemismatch. - Lionel Pibre; Jérôme Pasquet; Dino Ienco; Marc Chaumont (Media Watermarking, Security, and Forensics, 2016)

RetweetPatterns: Detection of Spatio-Temporal Patterns of Retweets. - Tomy Rodrigues; Tiago Daniel Sá Cunha; Dino Ienco; Pascal Poncelet; Carlos Soares (WorldCIST (1), 2016)

Positive and unlabeled learning in categorical data. - Dino Ienco; Ruggero G. Pensa (Neurocomputing, 2016)

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 (Inf. Sci., 2016)

Leveraging efficient indexing schema to support multigraph query answering. - Vijay Ingalalli; Dino Ienco; Pascal Poncelet (Ingénierie des Systèmes d Inf., 2016)

ECIR 2016 Workshop on Modeling, Learning and Mining for Cross/Multilinguality (MultiLingMine '16). - Dino Ienco; Mathieu Roche; Salvatore Romeo; Paolo Rosso; Andrea Tagarelli (SIGIR Forum, 2016)

Analyse des dynamiques spatio-temporelles à partir de séries temporelles d'images satellitaires. - Lynda Khiali; Dino Ienco; Maguelonne Teisseire (EGC, 2017)

How to deal with multi-source data for tree detection based on deep learning. - Lionel Pibre; Marc Chaumont; Gérard Subsol; Dino Ienco; Mustapha Derras (GlobalSIP, 2017)

Land Cover Classification via Multi-temporal Spatial Data by Recurrent Neural Networks. - Dino Ienco; Raffaele Gaetano; Claire Dupaquier; Pierre Maurel (CoRR, 2017)

Node-centric community detection in multilayer networks with layer-coverage diversification bias. - Roberto Interdonato; Andrea Tagarelli; Dino Ienco; Arnaud Sallaberry; Pascal Poncelet (CoRR, 2017)

Deep Recurrent Neural Networks for mapping winter vegetation quality coverage via multi-temporal SAR Sentinel-1. - Dinh Ho Tong Minh; Dino Ienco; Raffaele Gaetano; Nathalie Lalande; Emile Ndikumana; Faycal Osman; Pierre Maurel (CoRR, 2017)

Local community detection in multilayer networks. - Roberto Interdonato; Andrea Tagarelli; Dino Ienco; Arnaud Sallaberry; Pascal Poncelet (Data Min. Knowl. Discov., 2017)

Land Cover Classification via Multitemporal Spatial Data by Deep Recurrent Neural Networks. - Dino Ienco; Raffaele Gaetano; Claire Dupaquier; Pierre Maurel (IEEE Geosci. Remote. Sens. Lett., 2017)

A Semisupervised Approach to the Detection and Characterization of Outliers in Categorical Data. - Dino Ienco; Ruggero G. Pensa; Rosa Meo (IEEE Trans. Neural Networks Learn. Syst., 2017)

Semi-Supervised Clustering With Multiresolution Autoencoders. - Dino Ienco; Ruggero G. Pensa (IJCNN, 2018)

Visual querying of large multilayer graphs. - Erick Cuenca; Arnaud Sallaberry; Dino Ienco; Pascal Poncelet (SSDBM, 2018)

M3Fusion: A Deep Learning Architecture for Multi-{Scale/Modal/Temporal} satellite data fusion. - Paola Benedetti; Dino Ienco; Raffaele Gaetano; Kenji Ose; Ruggero G. Pensa; Stéphane Dupuy (CoRR, 2018)

MRFusion: A Deep Learning architecture to fuse PAN and MS imagery for land cover mapping. - Raffaele Gaetano; Dino Ienco; Kenji Ose; Rémi Cresson (CoRR, 2018)

DuPLO: A DUal view Point deep Learning architecture for time series classificatiOn. - Roberto Interdonato; Dino Ienco; Raffaele Gaetano; Kenji Ose (CoRR, 2018)

Object-oriented satellite image time series analysis using a graph-based representation. - Lynda Khiali; Dino Ienco; Maguelonne Teisseire (Ecol. Informatics, 2018)

Mining frequent subgraphs in multigraphs. - Vijay Ingalalli; Dino Ienco; Pascal Poncelet (Inf. Sci., 2018)

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; Faycal Osman; Pierre Maurel (IEEE Geosci. Remote. Sens. Lett., 2018)

A Two-Branch CNN Architecture for Land Cover Classification of PAN and MS Imagery. - Raffaele Gaetano; Dino Ienco; Kenji Ose; Rémi Cresson (Remote. Sens., 2018)

Fuzzy extensions of the DBScan clustering algorithm. - Dino Ienco; Gloria Bordogna (Soft Comput., 2018)

M3Fusion: A Deep Learning Architecture for Multiscale Multimodal Multitemporal Satellite Data Fusion. - Paola Benedetti; Dino Ienco; Raffaele Gaetano; Kenji Ose; Ruggero G. Pensa; Stéphane Dupuy (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Deep Triplet-Driven Semi-supervised Embedding Clustering. - Dino Ienco; Ruggero G. Pensa (DS, 2019)

Améliorer la classification semi-supervisée à base de graphes. - Dino Ienco; Ruggero G. Pensa (EGC, 2019)

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)

Combining Sentinel-1 and Sentinel-2 Time Series via RNN for Object-Based Land Cover Classification. - Dino Ienco; Raffaele Gaetano; Roberto Interdonato; Kenji Ose; Dinh Ho Tong Minh (IGARSS, 2019)

Towards combining Satellite Imagery and VGI for Urban LULC classification. - Dino Ienco; Kenji Ose; Christiane Weber (JURSE, 2019)

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; Maguelonne Teisseire (Int. J. Appl. Earth Obs. Geoinformation, 2019)

Supervised level-wise pretraining for recurrent neural network initialization in multi-class classification. - Dino Ienco; Roberto Interdonato; Raffaele Gaetano (CoRR, 2019)

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; Babacar Ndao; Stéphane Dupuy (CoRR, 2019)

Mapping Irrigated Areas Using Sentinel-1 Time Series in Catalonia, Spain. - Hassan Bazzi; Nicolas N. Baghdadi; Dino Ienco; Mohammad El-Hajj; Mehrez Zribi; Hatem Belhouchette; Maria José Escorihuela; Valérie Demarez (Remote. Sens., 2019)

Supervised Level-Wise Pretraining for Sequential Data Classification. - Dino Ienco; Roberto Interdonato; Raffaele Gaetano (ICONIP (5), 2020)

Irrigation Mapping Using Sentinel-1 Time Series. - Hassan Bazzi; Nicolas N. Baghdadi; Dino Ienco; Mehrez Zribi; Hatem Belhouchette (IGARSS, 2020)

Deep Multivariate Time Series Embedding Clustering via Attentive-Gated Autoencoder. - Dino Ienco; Roberto Interdonato (PAKDD (1), 2020)

Weakly Supervised Learning for Land Cover Mapping of Satellite Image Time Series via Attention-Based CNN. - Dino Ienco; Yawogan Jean Eudes Gbodjo; Raffaele Gaetano; Roberto Interdonato (IEEE Access, 2020)

Fine grained classification for multi-source land cover mapping. - Yawogan Jean Eudes Gbodjo; Dino Ienco; Louise Leroux; Roberto Interdonato; Raffaele Gaetano (CoRR, 2020)

Attentive Weakly Supervised land cover mapping for object-based satellite image time series data with spatial interpretation. - Dino Ienco; Yawogan Jean Eudes Gbodjo; Roberto Interdonato; Raffaele Gaetano (CoRR, 2020)

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; Julie Deter (Ecol. Informatics, 2020)

Distilling Before Refine: Spatio-Temporal Transfer Learning for Mapping Irrigated Areas Using Sentinel-1 Time Series. - Hassan Bazzi; Dino Ienco; Nicolas N. Baghdadi; Mehrez Zribi; Valérie Demarez (IEEE Geosci. Remote. Sens. Lett., 2020)

Toward Spatio-Spectral Analysis of Sentinel-2 Time Series Data for Land Cover Mapping. - Yawogan Jean Eudes Gbodjo; Dino Ienco; Louise Leroux (IEEE Geosci. Remote. Sens. Lett., 2020)

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; Babacar Ndao (Remote. Sens., 2020)

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 J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Enhancing Graph-Based Semisupervised Learning via Knowledge-Aware Data Embedding. - Dino Ienco; Ruggero G. Pensa (IEEE Trans. Neural Networks Learn. Syst., 2020)

Evaluate Pseudo Labeling and CNN for Multi-variate Time Series Classification in Low-Data Regimes. - Dino Ienco; Davi Pereira dos Santos; André C. P. L. F. de Carvalho (ICANN (5), 2021)

Assessment of Urban Land-Cover Classification: Comparison Between Pixel and Object Scales. - Alexia Cornic; Kenji Ose; Dino Ienco; Eric Barbe; Rémi Cresson (IGARSS, 2021)

Channel-Based Attention for Land Cover Classification using Sentinel-2 Time Series. - Hermann Courteille; Alexandre Benoît; Nicolas Méger; Abdourrahmane M. Atto; Dino Ienco (IGARSS, 2021)

Machine and Deep Learning for Earth Observation: Advanced Approaches and Practical Use Cases. - Dino Ienco; Roberto Interdonato (SEBD, 2021)

A neural network strategy for supervised classification via the Learning Under Privileged Information paradigm. - Ludovica Sacco; Dino Ienco; Roberto Interdonato (SEBD, 2021)

An Inductive Framework for Semi-supervised Learning (Discussion Paper). - Shuyi Yang; Dino Ienco; Roberto Esposito; Ruggero G. Pensa (SEBD, 2021)

On Enhanced Ensemble Learning for Multimodal Remote Sensing Data Analysis by Capacity Optimization. - Saloua Chlaily; Dino Ienco; Christian Jutten; Andrea Marinoni (SSP, 2021)

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; Raffaele Gaetano (IEEE Access, 2021)

Channel-Based Attention for LCC Using Sentinel-2 Time Series. - Hermann Courteille; Alexandre Benoît; Nicolas Méger; Abdourrahmane M. Atto; Dino Ienco (CoRR, 2021)

ESA☆: A generic framework for semi-supervised inductive learning. - Shuyi Yang; Dino Ienco; Roberto Esposito; Ruggero G. Pensa (Neurocomputing, 2021)

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; Stéphane Dupuy (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Clustering semi-supervisé de séries temporelles multivariées par apprentissage profond. - Dino Ienco; Roberto Interdonato (EGC, 2022)

Unsupervised Domain Adaptation Methods for Land Cover Mapping with Optical Satellite Image Time Series. - Emmanuel Capliez; Dino Ienco; Raffaele Gaetano; Nicolas N. Baghdadi; Adrien Hadj-Salah (IGARSS, 2022)

Large Scale Forest Parameter Estimation Through a Deep Learning-Based Fusion of Sentinel-2 and Tandem-X Data. - Daniel Carcereri; Paola Rizzoli; Dino Ienco; José-Luis Bueso-Bello; Carolina González; Stefano Puliti; Lorenzo Bruzzone (IGARSS, 2022)

Estimating Forest Heights and Wood Volume using a Deep Learning Approach from Gedi Waveform Data. - Ibrahim Fayad; Dino Ienco; Nicolas N. Baghdadi; Raffaele Gaetano; Clayton Alcarde Alvares; Jose-Luiz Stape; Henrique Ferraço Scolforo; Guerric le Maire (IGARSS, 2022)

Combine Histogram Matching and Domain Adaptation to Cope with Temporal Transfer Learning for the Semantic Segmentation of VHR Images. - Dino Ienco; Kenji Ose (IGARSS, 2022)

Dealing With Multipositive Unlabeled Learning Combining Metric Learning and Deep Clustering. - Amedeo Racanati; Roberto Esposito; Dino Ienco (IEEE Access, 2022)

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. Sens., 2022)

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; Jean-Matthieu Monnet (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

VERTIGo: A Visual Platform for Querying and Exploring Large Multilayer Networks. - Erick Cuenca; Arnaud Sallaberry; Dino Ienco; Pascal Poncelet (IEEE Trans. Vis. Comput. Graph., 2022)

Hierarchical priors for Hyperspherical Prototypical Networks. - Samuele Fonio; Lorenzo Paletto; Mattia Cerrato; Dino Ienco; Roberto Esposito (ESANN, 2023)

Une méthode à base de réseaux de neurones pour la simplification des graphes multicouches dans un contexte de classification des noeuds. - Cheick Tidiane Ba; Roberto Interdonato; Dino Ienco; Sabrina Gaito (EGC, 2023)

PDiscoNet: Semantically consistent part discovery for fine-grained recognition. - Robert van der Klis; Stephan Alaniz; Massimiliano Mancini; Cássio Fraga Dantas; Dino Ienco; Zeynep Akata; Diego Marcos (ICCV, 2023)

Masking Strategies for Background Bias Removal in Computer Vision Models. - Ananthu Aniraj; Cássio F. Dantas; Dino Ienco; Diego Marcos (ICCV (Workshops), 2023)

Sparse Linear Concept Discovery Models. - Konstantinos P. Panousis; Dino Ienco; Diego Marcos (ICCV (Workshops), 2023)

Potential of Deep Learning for Forest Height Estimation from Tandem-X Bistatic Insar Data. - Daniel Carcereri; Paola Rizzoli; Dino Ienco; Lorenzo Bruzzone (IGARSS, 2023)

Counterfactual Explanations for Remote Sensing Time Series Data: An Application to Land Cover Classification. - Cássio Fraga Dantas; Thalita F. Drumond; Diego Marcos; Dino Ienco (ECML/PKDD (7), 2023)

Fair Semi-supervised Representation Learning for Tabular Data Classification. - Shuyi Yang; Mattia Cerrato; Dino Ienco; Ruggero G. Pensa; Roberto Esposito (SEBD, 2023)

A Deep Neural Network Framework for Multivariate Time Series Classification With Positive and Unlabeled Data. - Dino Ienco (IEEE Access, 2023)

Counterfactual Explanations for Land Cover Mapping in a Multi-class Setting. - Cássio F. Dantas; Diego Marcos; Dino Ienco (CoRR, 2023)

Hierarchical Concept Discovery Models: A Concept Pyramid Scheme. - Konstantinos P. Panousis; Dino Ienco; Diego Marcos (CoRR, 2023)

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 (Eng. Appl. Artif. Intell., 2023)

SENECA: Change detection in optical imagery using Siamese networks with Active-Transfer Learning. - Giuseppina Andresini; Annalisa Appice; Dino Ienco; Donato Malerba (Expert Syst. Appl., 2023)

Deep semi-supervised clustering for multi-variate time-series. - Dino Ienco; Roberto Interdonato (Neurocomputing, 2023)

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 N. Baghdadi; Adrien Hadj-Salah (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

A Deep Learning Framework for the Estimation of Forest Height From Bistatic TanDEM-X Data. - Daniel Carcereri; Paola Rizzoli; Dino Ienco; Lorenzo Bruzzone (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Enhancing Forest Attribute Prediction by Considering Terrain and Scan Angles From Lidar Point Clouds: A Neural Network Approach. - Karun Reuel Dayal; Sylvie Durrieu; Kamel Lahssini; Dino Ienco; Jean-Matthieu Monnet (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Artificial Intelligence Algorithms for Rapeseed Fields Mapping Using Sentinel-1 Time Series: Temporal Transfer Scenario and Ground Sampling Constraints. - Saeideh Maleki; Nicolas N. Baghdadi; Cássio Fraga Dantas; Sami Najem; Hassan Bazzi; Núria Pantaleoni Reluy; Dino Ienco; Mehrez Zribi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Multisensor Temporal Unsupervised Domain Adaptation for Land Cover Mapping With Spatial Pseudo-Labeling and Adversarial Learning. - Emmanuel Capliez; Dino Ienco; Raffaele Gaetano; Nicolas N. Baghdadi; Adrien Hadj-Salah; Matthieu Le Goff; Florient Chouteau (IEEE Trans. Geosci. Remote. Sens., 2023)

Out-of-year corn yield prediction at field-scale using Sentinel-2 satellite imagery and machine learning methods. - Johann Desloires; Dino Ienco; Antoine Botrel (Comput. Electron. Agric., 2023)

FairSwiRL: fair semi-supervised classification with representation learning. - Shuyi Yang; Mattia Cerrato; Dino Ienco; Ruggero G. Pensa; Roberto Esposito (Mach. Learn., 2023)

DisCoM-KD: Cross-Modal Knowledge Distillation via Disentanglement Representation and Adversarial Learning. - Dino Ienco; Cássio Fraga Dantas (BMVC, 2024)

Towards a Multimodal Framework for Remote Sensing Image Change Retrieval and Captioning. - Roger Ferrod; Luigi Di Caro; Dino Ienco (DS (2), 2024)

PDiscoFormer: Relaxing Part Discovery Constraints with Vision Transformers. - Ananthu Aniraj; Cássio Fraga Dantas; Dino Ienco; Diego Marcos (ECCV (85), 2024)

Multi-Scale Classification of Sentinel-2 Images for Land Cover Mapping Using Two-Branch Convolutional Neural Network. - Azza Abidi; Dino Ienco; Ali Ben Abbes; Imed Riadh Farah (IGARSS, 2024)

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)

Rapeseed Fields Mapping Using Sentinel-1 Time Series. - Nicolas N. Baghdadi; Saeideh Maleki; Cássio Fraga Dantas; Sami Najem; Hassan Bazzi; Dino Ienco; Mehrez Zribi (IGARSS, 2024)

Country-Scale Mapping of Forest Parameters Using Deep Learning and Tandem-X Insar Data. - Daniel Carcereri; Paola Rizzoli; Luca Dell'Amore; José-Luis Bueso-Bello; Dino Ienco; Lorenzo Bruzzone (IGARSS, 2024)

Aligning Geo-Tagged Clip Representations and Satellite Imagery for Few-Shot Land Use Classification. - Pallavi Jain 004; Diego Marcos; Dino Ienco; Roberto Interdonato; Aayush Dhakal; Nathan Jacobs; Tristan Berchoux (IGARSS, 2024)

Joint Cloud Removal and Classification of Sentinel-2 Image Time Series for Agricultural Land Cover Mapping in Northern Benin. - Bruno Bio Nikki Sarè; Raffaele Gaetano; Roberto Interdonato; Yvon Carmen Hountondji; Dino Ienco; Cássio Fraga Dantas (IGARSS, 2024)

Integrating Predictive Process Monitoring Techniques in Smart Agriculture. - Simona Fioretto; Dino Ienco; Roberto Interdonato; Elio Masciari (ISMIS, 2024)

Coarse-to-Fine Concept Bottleneck Models. - Konstantinos P. Panousis; Dino Ienco; Diego Marcos (NeurIPS, 2024)

Semi-supervised Heterogeneous Domain Adaptation via Disentanglement and Pseudo-labelling. - Cássio F. Dantas; Raffaele Gaetano; Dino Ienco (ECML/PKDD (3), 2024)

Reuse out-of-year data to enhance land cover mapping via feature disentanglement and contrastive learning. - Cássio Fraga Dantas; Raffaele Gaetano; Claudia Paris; Dino Ienco (CoRR, 2024)

Machine Learning-Based Summer Crops Mapping Using Sentinel-1 and Sentinel-2 Images. - Saeideh Maleki; Nicolas N. Baghdadi; Hassan Bazzi; Cássio Fraga Dantas; Dino Ienco; Yasser Nasrallah; Sami Najem (Remote. Sens., 2024)

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)

Determining Effective Temporal Windows for Rapeseed Detection Using Sentinel-1 Time Series and Machine Learning Algorithms. - Saeideh Maleki; Nicolas N. Baghdadi; Sami Najem; Cássio Fraga Dantas; Hassan Bazzi; Dino Ienco (Remote. Sens., 2024)

Early Season Forecasting of Corn Yield at Field Level from Multi-Source Satellite Time Series Data. - Johann Desloires; Dino Ienco; Antoine Botrel (Remote. Sens., 2024)

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 Comput. Appl., 2024)

Multi-source deep-learning approach for automatic geomorphological mapping: the case of glacial moraines. - Isabelle Rocamora; Dino Ienco; Matthieu Ferry (Geo spatial Inf. Sci., 2024)

DyHANE: dynamic heterogeneous attributed network embedding through experience node replay. - Liliana Martirano; Dino Ienco; Roberto Interdonato; Andrea Tagarelli (Appl. Netw. Sci., 2024)

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 (J. Intell. Inf. Syst., 2024)

Transfer Land Cover Maps Across Years: A Time Series-based Semantic Segmentation Approach. - Christopher Jabea; Roberto Interdonato; Cássio F. Dantas; Dino Ienco; Flavie Cernesson; Eric Barbe; Nadia Guiffant; Christiane Weber (JURSE, 2025)

SenCLIP: Enhancing Zero-Shot Land-Use Mapping for Sentinel-2 with Ground-Level Prompting. - Pallavi Jain 004; Dino Ienco; Roberto Interdonato; Tristan Berchoux; Diego Marcos (WACV, 2025)

ProMM-RS: Exploring Probabilistic Learning for Multi-Modal Remote Sensing Image Representations. - Nicolas Houdré; Diego Marcos; Dino Ienco; Laurent Wendling; Camille Kurtz; Sylvain Lobry (WACV (Workshops), 2025)

Multi-Sensor Model for Earth Observation Robust to Missing Data via Sensor Dropout and Mutual Distillation. - Francisco Alejandro Mena; Dino Ienco; Cássio F. Dantas; Roberto Interdonato; Andreas Dengel 001 (IEEE Access, 2025)

MARA: A deep learning based framework for multilayer graph simplification. - Cheick Tidiane Ba; Roberto Interdonato; Dino Ienco; Sabrina Gaito (Neurocomputing, 2025)

Reuse Out-of-Year Data to Enhance Land Cover Mapping via Feature Disentanglement and Contrastive Learning. - Cássio F. Dantas; Raffaelle Gaetano; Claudia Paris; Dino Ienco (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

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; Emma Izquierdo-Verdiguier; Francesco Vuolo (CoRR, 2025)

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation. - Roger Ferrod; Cássio F. Dantas; Luigi Di Caro; Dino Ienco (CoRR, 2025)

Inherently Faithful Attention Maps for Vision Transformers. - Ananthu Aniraj; Cássio Fraga Dantas; Dino Ienco; Diego Marcos (CoRR, 2025)

TimeSenCLIP: A Vision-Language Model for Remote Sensing Using Single-Pixel Time Series. - Pallavi Jain 004; Diego Marcos; Dino Ienco; Roberto Interdonato; Tristan Berchoux (CoRR, 2025)