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ORCIDDino Ienco
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- affiliation: Irstea Institute, Montpellier, France
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2020 – today
- 2025
[j56]Cheick Tidiane Ba
, Roberto Interdonato, Dino Ienco, Sabrina Gaito:
MARA: A deep learning based framework for multilayer graph simplification. Neurocomputing 612: 128712 (2025)- 2024
- [j55]Liliana Martirano, Dino Ienco, Roberto Interdonato, Andrea Tagarelli:
DyHANE: dynamic heterogeneous attributed network embedding through experience node replay. Appl. Netw. Sci. 9(1): 30 (2024) - [j54]Dino Ienco, Raffaele Gaetano, Roberto Interdonato:
A constrastive semi-supervised deep learning framework for land cover classification of satellite time series with limited labels. Neurocomputing 567: 127031 (2024) - [j53]Azza Abidi, Dino Ienco, Ali Ben Abbes, Imed Riadh Farah:
Orthrus: multi-scale land cover mapping from satellite image time series via 2D encoding and convolutional neural network. Neural Comput. Appl. 36(30): 19247-19265 (2024) - [j52]Saeideh Maleki, Nicolas N. Baghdadi, Sami Najem, Cássio Fraga Dantas, Hassan Bazzi, Dino Ienco:
Determining Effective Temporal Windows for Rapeseed Detection Using Sentinel-1 Time Series and Machine Learning Algorithms. Remote. Sens. 16(3): 549 (2024) - [j51]Johann Desloires, Dino Ienco, Antoine Botrel:
Early Season Forecasting of Corn Yield at Field Level from Multi-Source Satellite Time Series Data. Remote. Sens. 16(9): 1573 (2024) - [c89]Pallavi Jain, Diego Marcos, Dino Ienco, Roberto Interdonato, Aayush Dhakal, Nathan Jacobs, Tristan Berchoux:
Aligning Geo-Tagged Clip Representations and Satellite Imagery for Few-Shot Land Use Classification. IGARSS 2024: 319-323 - [c88]Daniel Carcereri, Paola Rizzoli, Luca Dell'Amore, José-Luis Bueso-Bello, Dino Ienco, Lorenzo Bruzzone:
Country-Scale Mapping of Forest Parameters Using Deep Learning and Tandem-X Insar Data. IGARSS 2024: 2279-2284 - [c87]Azza Abidi, Dino Ienco, Ali Ben Abbes, Imed Riadh Farah:
Multi-Scale Classification of Sentinel-2 Images for Land Cover Mapping Using Two-Branch Convolutional Neural Network. IGARSS 2024: 4109-4113 - [c86]Bruno Bio Nikki Sarè, Raffaele Gaetano, Roberto Interdonato, Yvon Carmen Hountondji, Dino Ienco, Cássio Fraga Dantas:
Joint Cloud Removal and Classification of Sentinel-2 Image Time Series for Agricultural Land Cover Mapping in Northern Benin. IGARSS 2024: 4824-4827 - [c85]Nicolas N. Baghdadi, Saeideh Maleki, Cássio Fraga Dantas, Sami Najem, Hassan Bazzi, Dino Ienco, Mehrez Zribi:
Rapeseed Fields Mapping Using Sentinel-1 Time Series. IGARSS 2024: 4836-4840 - [c84]Giuseppina Andresini, Annalisa Appice, Dino Ienco, Donato Malerba, Vito Recchia:
Potential of Spectral-Spatial Analysis to Map Forest Tree Dieback Due to Bark Beetle Hotspots in Sentinel-2 Images. IGARSS 2024: 5227-5230 - [c83]Simona Fioretto, Dino Ienco, Roberto Interdonato, Elio Masciari:
Integrating Predictive Process Monitoring Techniques in Smart Agriculture. ISMIS 2024: 306-313 - [c82]Cássio F. Dantas, Raffaele Gaetano, Dino Ienco:
Semi-supervised Heterogeneous Domain Adaptation via Disentanglement and Pseudo-labelling. ECML/PKDD (3) 2024: 440-456 - [i23]Cássio Fraga Dantas, Raffaele Gaetano, Claudia Paris, Dino Ienco:
Reuse out-of-year data to enhance land cover mapping via feature disentanglement and contrastive learning. CoRR abs/2404.11114 (2024) - [i22]Roger Ferrod, Luigi Di Caro, Dino Ienco:
Towards a multimodal framework for remote sensing image change retrieval and captioning. CoRR abs/2406.13424 (2024) - [i21]Cássio F. Dantas, Raffaele Gaetano, Dino Ienco:
Semi Supervised Heterogeneous Domain Adaptation via Disentanglement and Pseudo-Labelling. CoRR abs/2406.14087 (2024) - [i20]Ananthu Aniraj, Cássio F. Dantas, Dino Ienco, Diego Marcos:
PDiscoFormer: Relaxing Part Discovery Constraints with Vision Transformers. CoRR abs/2407.04538 (2024) - [i19]Dino Ienco, Cássio Fraga Dantas:
DisCoM-KD: Cross-Modal Knowledge Distillation via Disentanglement Representation and Adversarial Learning. CoRR abs/2408.07080 (2024) - 2023
- [j50]Dino Ienco:
A Deep Neural Network Framework for Multivariate Time Series Classification With Positive and Unlabeled Data. IEEE Access 11: 20877-20884 (2023) - [j49]Johann Desloires, Dino Ienco, Antoine Botrel:
Out-of-year corn yield prediction at field-scale using Sentinel-2 satellite imagery and machine learning methods. Comput. Electron. Agric. 209: 107807 (2023) - [j48]Azza Abidi, Dino Ienco, Ali Ben Abbes, Imed Riadh Farah:
Combining 2D encoding and convolutional neural network to enhance land cover mapping from Satellite Image Time Series. Eng. Appl. Artif. Intell. 122: 106152 (2023) - [j47]Giuseppina Andresini, Annalisa Appice, Dino Ienco, Donato Malerba:
SENECA: Change detection in optical imagery using Siamese networks with Active-Transfer Learning. Expert Syst. Appl. 214: 119123 (2023) - [j46]Dino Ienco, Roberto Interdonato:
Deep semi-supervised clustering for multi-variate time-series. Neurocomputing 516: 36-47 (2023) - [j45]Shuyi Yang, Mattia Cerrato, Dino Ienco, Ruggero G. Pensa, Roberto Esposito:
FairSwiRL: fair semi-supervised classification with representation learning. Mach. Learn. 112(9): 3051-3076 (2023) - [j44]Karun Reuel Dayal, Sylvie Durrieu, Kamel Lahssini, Dino Ienco, Jean-Matthieu Monnet:
Enhancing Forest Attribute Prediction by Considering Terrain and Scan Angles From Lidar Point Clouds: A Neural Network Approach. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 3531-3544 (2023) - [j43]Emmanuel Capliez, Dino Ienco, Raffaele Gaetano, Nicolas N. Baghdadi, Adrien Hadj-Salah:
Temporal-Domain Adaptation for Satellite Image Time-Series Land-Cover Mapping With Adversarial Learning and Spatially Aware Self-Training. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 3645-3675 (2023) - [j42]Daniel Carcereri, Paola Rizzoli, Dino Ienco, Lorenzo Bruzzone:
A Deep Learning Framework for the Estimation of Forest Height From Bistatic TanDEM-X Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 8334-8352 (2023) - [j41]Saeideh Maleki, Nicolas N. Baghdadi, Cássio Fraga Dantas, Sami Najem, Hassan Bazzi, Núria Pantaleoni Reluy, Dino Ienco, Mehrez Zribi:
Artificial Intelligence Algorithms for Rapeseed Fields Mapping Using Sentinel-1 Time Series: Temporal Transfer Scenario and Ground Sampling Constraints. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 8884-8899 (2023) - [j40]Emmanuel Capliez, Dino Ienco, Raffaele Gaetano, Nicolas N. Baghdadi, Adrien Hadj-Salah, Matthieu Le Goff, Florient Chouteau:
Multisensor Temporal Unsupervised Domain Adaptation for Land Cover Mapping With Spatial Pseudo-Labeling and Adversarial Learning. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [c81]Samuele Fonio, Lorenzo Paletto, Mattia Cerrato, Dino Ienco, Roberto Esposito:
Hierarchical priors for Hyperspherical Prototypical Networks. ESANN 2023 - [c80]Cheick Tidiane Ba, Roberto Interdonato, Dino Ienco, Sabrina Gaito:
Une méthode à base de réseaux de neurones pour la simplification des graphes multicouches dans un contexte de classification des noeuds. EGC 2023: 377-384 - [c79]Robert van der Klis, Stephan Alaniz, Massimiliano Mancini, Cássio Fraga Dantas, Dino Ienco, Zeynep Akata, Diego Marcos:
PDiscoNet: Semantically consistent part discovery for fine-grained recognition. ICCV 2023: 1866-1876 - [c78]Konstantinos P. Panousis, Dino Ienco, Diego Marcos:
Sparse Linear Concept Discovery Models. ICCV (Workshops) 2023: 2759-2763 - [c77]Ananthu Aniraj, Cássio F. Dantas, Dino Ienco, Diego Marcos:
Masking Strategies for Background Bias Removal in Computer Vision Models. ICCV (Workshops) 2023: 4399-4407 - [c76]Daniel Carcereri, Paola Rizzoli, Dino Ienco, Lorenzo Bruzzone:
Potential of Deep Learning for Forest Height Estimation from Tandem-X Bistatic Insar Data. IGARSS 2023: 1481-1484 - [c75]Cássio Fraga Dantas, Thalita F. Drumond, Diego Marcos, Dino Ienco:
Counterfactual Explanations for Remote Sensing Time Series Data: An Application to Land Cover Classification. ECML/PKDD (7) 2023: 20-36 - [c74]Shuyi Yang, Mattia Cerrato, Dino Ienco, Ruggero G. Pensa, Roberto Esposito:
Fair Semi-supervised Representation Learning for Tabular Data Classification. SEBD 2023: 488-496 - [e7]Thomas Corpetti, Dino Ienco, Roberto Interdonato, Minh-Tan Pham, Sébastien Lefèvre:
Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2022), Grenoble, France, September 18-22, 2022. CEUR Workshop Proceedings 3343, CEUR-WS.org 2023 [contents] - [i18]Cássio F. Dantas, Diego Marcos, Dino Ienco:
Counterfactual Explanations for Land Cover Mapping in a Multi-class Setting. CoRR abs/2301.01520 (2023) - [i17]Konstantinos P. Panousis, Dino Ienco, Diego Marcos:
Sparse Linear Concept Discovery Models. CoRR abs/2308.10782 (2023) - [i16]Ananthu Aniraj, Cássio Fraga Dantas, Dino Ienco, Diego Marcos:
Masking Strategies for Background Bias Removal in Computer Vision Models. CoRR abs/2308.12127 (2023) - [i15]Robert van der Klis, Stephan Alaniz, Massimiliano Mancini, Cássio F. Dantas, Dino Ienco, Zeynep Akata, Diego Marcos:
PDiscoNet: Semantically consistent part discovery for fine-grained recognition. CoRR abs/2309.03173 (2023) - [i14]Konstantinos P. Panousis, Dino Ienco, Diego Marcos:
Hierarchical Concept Discovery Models: A Concept Pyramid Scheme. CoRR abs/2310.02116 (2023) - 2022
- [j39]Amedeo Racanati, Roberto Esposito, Dino Ienco:
Dealing With Multipositive Unlabeled Learning Combining Metric Learning and Deep Clustering. IEEE Access 10: 51839-51849 (2022) - [j38]Johann Desloires, Dino Ienco, Antoine Botrel, Nicolas Ranc:
Positive Unlabelled Learning for Satellite Images'Time Series Analysis: An Application to Cereal and Forest Mapping. Remote. Sens. 14(1): 140 (2022) - [j37]Kamel Lahssini, Florian Teste, Karun Reuel Dayal, Sylvie Durrieu, Dino Ienco, Jean-Matthieu Monnet:
Combining LiDAR Metrics and Sentinel-2 Imagery to Estimate Basal Area and Wood Volume in Complex Forest Environment via Neural Networks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 4337-4348 (2022) - [j36]Erick Cuenca, Arnaud Sallaberry, Dino Ienco, Pascal Poncelet:
VERTIGo: A Visual Platform for Querying and Exploring Large Multilayer Networks. IEEE Trans. Vis. Comput. Graph. 28(3): 1634-1647 (2022) - [c73]Dino Ienco, Roberto Interdonato:
Clustering semi-supervisé de séries temporelles multivariées par apprentissage profond. EGC 2022: 225-232 - [c72]Emmanuel Capliez, Dino Ienco, Raffaele Gaetano, Nicolas N. Baghdadi, Adrien Hadj-Salah:
Unsupervised Domain Adaptation Methods for Land Cover Mapping with Optical Satellite Image Time Series. IGARSS 2022: 275-278 - [c71]Dino Ienco, Kenji Ose:
Combine Histogram Matching and Domain Adaptation to Cope with Temporal Transfer Learning for the Semantic Segmentation of VHR Images. IGARSS 2022: 409-412 - [c70]Daniel Carcereri, Paola Rizzoli, Dino Ienco, José-Luis Bueso-Bello, Carolina González, Stefano Puliti, Lorenzo Bruzzone:
Large Scale Forest Parameter Estimation Through a Deep Learning-Based Fusion of Sentinel-2 and Tandem-X Data. IGARSS 2022: 5773-5776 - [c69]Ibrahim Fayad, Dino Ienco, Nicolas N. Baghdadi, Raffaele Gaetano, Clayton Alcarde Alvares, Jose-Luiz Stape, Henrique Ferraço Scolforo, Guerric le Maire:
Estimating Forest Heights and Wood Volume using a Deep Learning Approach from Gedi Waveform Data. IGARSS 2022: 7301-7304 - [e6]Pascal Poncelet, Dino Ienco:
Discovery Science - 25th International Conference, DS 2022, Montpellier, France, October 10-12, 2022, Proceedings. Lecture Notes in Computer Science 13601, Springer 2022, ISBN 978-3-031-18839-8 [contents] - [e5]Thomas Corpetti, Dino Ienco, Roberto Interdonato, Minh-Tan Pham, Sébastien Lefèvre:
Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2021), Virtual Conference, September 13-17, 2021. CEUR Workshop Proceedings 3088, CEUR-WS.org 2022 [contents] - 2021
- [j35]Alessandro Michele Censi, Dino Ienco, Yawogan Jean Eudes Gbodjo, Ruggero Gaetano Pensa, Roberto Interdonato, Raffaele Gaetano:
Attentive Spatial Temporal Graph CNN for Land Cover Mapping From Multi Temporal Remote Sensing Data. IEEE Access 9: 23070-23082 (2021) - [j34]Shuyi Yang, Dino Ienco, Roberto Esposito, Ruggero G. Pensa:
ESA☆: A generic framework for semi-supervised inductive learning. Neurocomputing 447: 102-117 (2021) - [j33]Yawogan Jean Eudes Gbodjo, Olivier Montet, Dino Ienco, Raffaele Gaetano, Stéphane Dupuy:
Multisensor Land Cover Classification With Sparsely Annotated Data Based on Convolutional Neural Networks and Self-Distillation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 11485-11499 (2021) - [c68]Dino Ienco, Davi Pereira dos Santos, André C. P. L. F. de Carvalho:
Evaluate Pseudo Labeling and CNN for Multi-variate Time Series Classification in Low-Data Regimes. ICANN (5) 2021: 126-137 - [c67]Hermann Courteille, Alexandre Benoît, Nicolas Méger, Abdourrahmane M. Atto, Dino Ienco:
Channel-Based Attention for Land Cover Classification using Sentinel-2 Time Series. IGARSS 2021: 1077-1080 - [c66]Alexia Cornic, Kenji Ose, Dino Ienco, Eric Barbe, Rémi Cresson:
Assessment of Urban Land-Cover Classification: Comparison Between Pixel and Object Scales. IGARSS 2021: 5716-5719 - [c65]Ludovica Sacco, Dino Ienco, Roberto Interdonato:
A neural network strategy for supervised classification via the Learning Under Privileged Information paradigm. SEBD 2021: 83-93 - [c64]Shuyi Yang, Dino Ienco, Roberto Esposito, Ruggero G. Pensa:
An Inductive Framework for Semi-supervised Learning (Discussion Paper). SEBD 2021: 371-378 - [c63]Dino Ienco, Roberto Interdonato:
Machine and Deep Learning for Earth Observation: Advanced Approaches and Practical Use Cases. SEBD 2021: iv - [c62]Saloua Chlaily, Dino Ienco, Christian Jutten, Andrea Marinoni:
On Enhanced Ensemble Learning for Multimodal Remote Sensing Data Analysis by Capacity Optimization. SSP 2021: 151-155 - [i13]Hermann Courteille, Alexandre Benoît, Nicolas Méger, Abdourrahmane M. Atto, Dino Ienco:
Channel-Based Attention for LCC Using Sentinel-2 Time Series. CoRR abs/2103.16836 (2021) - 2020
- [j32]Dino Ienco, Yawogan Jean Eudes Gbodjo, Raffaele Gaetano, Roberto Interdonato:
Weakly Supervised Learning for Land Cover Mapping of Satellite Image Time Series via Attention-Based CNN. IEEE Access 8: 179547-179560 (2020) - [j31]Guilhem Marre, Cedric De Almeida Braga, Dino Ienco, Sandra Luque, Florian Holon, Julie Deter:
Deep convolutional neural networks to monitor coralligenous reefs: Operationalizing biodiversity and ecological assessment. Ecol. Informatics 59: 101110 (2020) - [j30]Yawogan Jean Eudes Gbodjo, Dino Ienco, Louise Leroux:
Toward Spatio-Spectral Analysis of Sentinel-2 Time Series Data for Land Cover Mapping. IEEE Geosci. Remote. Sens. Lett. 17(2): 307-311 (2020) - [j29]Hassan Bazzi, Dino Ienco, Nicolas N. Baghdadi, Mehrez Zribi, Valérie Demarez:
Distilling Before Refine: Spatio-Temporal Transfer Learning for Mapping Irrigated Areas Using Sentinel-1 Time Series. IEEE Geosci. Remote. Sens. Lett. 17(11): 1909-1913 (2020) - [j28]Yawogan Jean Eudes Gbodjo, Dino Ienco, Louise Leroux, Roberto Interdonato, Raffaele Gaetano, Babacar Ndao:
Object-Based Multi-Temporal and Multi-Source Land Cover Mapping Leveraging Hierarchical Class Relationships. Remote. Sens. 12(17): 2814 (2020) - [j27]Ekaterina Kalinicheva, Dino Ienco, Jérémie Sublime, Maria Trocan:
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) - [j26]Dino Ienco, Ruggero G. Pensa:
Enhancing Graph-Based Semisupervised Learning via Knowledge-Aware Data Embedding. IEEE Trans. Neural Networks Learn. Syst. 31(11): 5014-5020 (2020) - [c61]Dino Ienco, Roberto Interdonato, Raffaele Gaetano:
Supervised Level-Wise Pretraining for Sequential Data Classification. ICONIP (5) 2020: 449-457 - [c60]Hassan Bazzi, Nicolas N. Baghdadi, Dino Ienco, Mehrez Zribi, Hatem Belhouchette:
Irrigation Mapping Using Sentinel-1 Time Series. IGARSS 2020: 4711-4714 - [c59]Dino Ienco, Roberto Interdonato:
Deep Multivariate Time Series Embedding Clustering via Attentive-Gated Autoencoder. PAKDD (1) 2020: 318-329 - [e4]Thomas Corpetti, Dino Ienco, Roberto Interdonato, Minh-Tan Pham, Sébastien Lefèvre:
Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2020), Virtual Conference, September 14-18, 2020. CEUR Workshop Proceedings 2766, CEUR-WS.org 2020 [contents] - [i12]Yawogan Jean Eudes Gbodjo, Dino Ienco, Louise Leroux, Roberto Interdonato, Raffaele Gaetano:
Fine grained classification for multi-source land cover mapping. CoRR abs/2004.01963 (2020) - [i11]Dino Ienco, Yawogan Jean Eudes Gbodjo, Roberto Interdonato, Raffaele Gaetano:
Attentive Weakly Supervised land cover mapping for object-based satellite image time series data with spatial interpretation. CoRR abs/2004.14672 (2020)
2010 – 2019
- 2019
- [j25]Lynda Khiali, Mamoudou Ndiath, Samuel Alleaume, Dino Ienco, Kenji Ose, Maguelonne Teisseire:
Detection of spatio-temporal evolutions on multi-annual satellite image time series: A clustering based approach. Int. J. Appl. Earth Obs. Geoinformation 74: 103-119 (2019) - [j24]Hassan Bazzi, Nicolas N. Baghdadi, Dino Ienco, Mohammad El-Hajj, Mehrez Zribi, Hatem Belhouchette, Maria José Escorihuela, Valérie Demarez:
Mapping Irrigated Areas Using Sentinel-1 Time Series in Catalonia, Spain. Remote. Sens. 11(15): 1836 (2019) - [c58]Dino Ienco, Ruggero G. Pensa:
Deep Triplet-Driven Semi-supervised Embedding Clustering. DS 2019: 220-234 - [c57]Dino Ienco, Ruggero G. Pensa:
Améliorer la classification semi-supervisée à base de graphes. EGC 2019: 357-358 - [c56]Rémi Cresson, Dino Ienco, Raffaele Gaetano, Kenji Ose, Dinh Ho Tong Minh:
Optical image gap filling using deep convolutional autoencoder from optical and radar images. IGARSS 2019: 218-221 - [c55]Dino Ienco, Raffaele Gaetano, Roberto Interdonato, Kenji Ose, Dinh Ho Tong Minh:
Combining Sentinel-1 and Sentinel-2 Time Series via RNN for Object-Based Land Cover Classification. IGARSS 2019: 4881-4884 - [c54]Dino Ienco, Kenji Ose, Christiane Weber:
Towards combining Satellite Imagery and VGI for Urban LULC classification. JURSE 2019: 1-4 - [e3]Thomas Corpetti, Dino Ienco, Roberto Interdonato, Minh-Tan Pham, Sébastien Lefèvre:
Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2019), Würzburg, Germany, September 20, 2019. CEUR Workshop Proceedings 2466, CEUR-WS.org 2019 [contents] - [i10]Dino Ienco, Roberto Interdonato, Raffaele Gaetano:
Supervised level-wise pretraining for recurrent neural network initialization in multi-class classification. CoRR abs/1911.01071 (2019) - [i9]Yawogan Jean Eudes Gbodjo, Dino Ienco, Louise Leroux, Roberto Interdonato, Raffaele Gaetano, Babacar Ndao, Stéphane Dupuy:
Object-based multi-temporal and multi-source land cover mapping leveraging hierarchical class relationships. CoRR abs/1911.08815 (2019) - 2018
- [j23]Lynda Khiali, Dino Ienco, Maguelonne Teisseire:
Object-oriented satellite image time series analysis using a graph-based representation. Ecol. Informatics 43: 52-64 (2018) - [j22]Vijay Ingalalli, Dino Ienco, Pascal Poncelet:
Mining frequent subgraphs in multigraphs. Inf. Sci. 451-452: 50-66 (2018) - [j21]Dinh Ho Tong Minh, Dino Ienco, Raffaele Gaetano, Nathalie Lalande, Emile Ndikumana, Faycal Osman, Pierre Maurel:
Deep Recurrent Neural Networks for Winter Vegetation Quality Mapping via Multitemporal SAR Sentinel-1. IEEE Geosci. Remote. Sens. Lett. 15(3): 464-468 (2018) - [j20]Raffaele Gaetano, Dino Ienco, Kenji Ose, Rémi Cresson:
A Two-Branch CNN Architecture for Land Cover Classification of PAN and MS Imagery. Remote. Sens. 10(11): 1746 (2018) - [j19]Dino Ienco, Gloria Bordogna:
Fuzzy extensions of the DBScan clustering algorithm. Soft Comput. 22(5): 1719-1730 (2018) - [j18]Paola Benedetti, Dino Ienco, Raffaele Gaetano, Kenji Ose, Ruggero G. Pensa, Stéphane Dupuy:
M3Fusion: A Deep Learning Architecture for Multiscale Multimodal Multitemporal Satellite Data Fusion. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(12): 4939-4949 (2018) - [c53]Dino Ienco, Ruggero G. Pensa:
Semi-Supervised Clustering With Multiresolution Autoencoders. IJCNN 2018: 1-8 - [c52]Erick Cuenca, Arnaud Sallaberry, Dino Ienco, Pascal Poncelet:
Visual querying of large multilayer graphs. SSDBM 2018: 32:1-32:4 - [i8]Paola Benedetti, Dino Ienco, Raffaele Gaetano, Kenji Ose, Ruggero G. Pensa, Stéphane Dupuy:
M3Fusion: A Deep Learning Architecture for Multi-{Scale/Modal/Temporal} satellite data fusion. CoRR abs/1803.01945 (2018) - [i7]Raffaele Gaetano, Dino Ienco, Kenji Ose, Rémi Cresson:
MRFusion: A Deep Learning architecture to fuse PAN and MS imagery for land cover mapping. CoRR abs/1806.11452 (2018) - [i6]Roberto Interdonato, Dino Ienco, Raffaele Gaetano, Kenji Ose:
DuPLO: A DUal view Point deep Learning architecture for time series classificatiOn. CoRR abs/1809.07589 (2018) - [i5]Dino Ienco, Raffaele Gaetano, Roberto Interdonato, Kenji Ose, Dinh Ho Tong Minh:
Combining Sentinel-1 and Sentinel-2 Time Series via RNN for object-based land cover classification. CoRR abs/1812.05530 (2018) - 2017
- [j17]Roberto Interdonato, Andrea Tagarelli, Dino Ienco, Arnaud Sallaberry, Pascal Poncelet:
Local community detection in multilayer networks. Data Min. Knowl. Discov. 31(5): 1444-1479 (2017) - [j16]Dino Ienco, Raffaele Gaetano, Claire Dupaquier, Pierre Maurel:
Land Cover Classification via Multitemporal Spatial Data by Deep Recurrent Neural Networks. IEEE Geosci. Remote. Sens. Lett. 14(10): 1685-1689 (2017) - [j15]Dino Ienco, Ruggero G. Pensa, Rosa Meo:
A Semisupervised Approach to the Detection and Characterization of Outliers in Categorical Data. IEEE Trans. Neural Networks Learn. Syst. 28(5): 1017-1029 (2017) - [c51]Lynda Khiali, Dino Ienco, Maguelonne Teisseire:
Analyse des dynamiques spatio-temporelles à partir de séries temporelles d'images satellitaires. EGC 2017: 261-272 - [c50]Lionel Pibre, Marc Chaumont, Gérard Subsol, Dino Ienco, Mustapha Derras:
How to deal with multi-source data for tree detection based on deep learning. GlobalSIP 2017: 1150-1154 - [e2]Roberto Corizzo, Dino Ienco:
Proceedings of the ECML/PKDD Discovery Challenges co-located with European Conference on Machine Learning - Principle and Practice of Knowledge Discovery in Database (ECML PKDD 2017), Skopje, Macedonia, September 18, 2017. CEUR Workshop Proceedings 1972, CEUR-WS.org 2017 [contents] - [i4]Roberto Interdonato, Andrea Tagarelli, Dino Ienco, Arnaud Sallaberry, Pascal Poncelet:
Node-centric community detection in multilayer networks with layer-coverage diversification bias. CoRR abs/1704.03441 (2017) - [i3]Dino Ienco, Raffaele Gaetano, Claire Dupaquier, Pierre Maurel:
Land Cover Classification via Multi-temporal Spatial Data by Recurrent Neural Networks. CoRR abs/1704.04055 (2017) - [i2]Dinh Ho Tong Minh, Dino Ienco, Raffaele Gaetano, Nathalie Lalande, Emile Ndikumana, Faycal Osman, Pierre Maurel:
Deep Recurrent Neural Networks for mapping winter vegetation quality coverage via multi-temporal SAR Sentinel-1. CoRR abs/1708.03694 (2017) - 2016
- [j14]Dino Ienco, Ruggero G. Pensa:
Positive and unlabeled learning in categorical data. Neurocomputing 196: 113-124 (2016) - [j13]Paolo Arcaini, Gloria Bordogna, Dino Ienco, Simone Sterlacchini:
User-driven geo-temporal density-based exploration of periodic and not periodic events reported in social networks. Inf. Sci. 340-341: 122-143 (2016) - [j12]Vijay Ingalalli, Dino Ienco, Pascal Poncelet:
Leveraging efficient indexing schema to support multigraph query answering. Ingénierie des Systèmes d Inf. 21(3): 53-74 (2016) - [j11]Dino Ienco, Mathieu Roche, Salvatore Romeo, Paolo Rosso, Andrea Tagarelli:
ECIR 2016 Workshop on Modeling, Learning and Mining for Cross/Multilinguality (MultiLingMine '16). SIGIR Forum 50(2): 89-95 (2016) - [c49]Romain Bourqui, Dino Ienco, Arnaud Sallaberry, Pascal Poncelet:
Multilayer graph edge bundling. PacificVis 2016: 184-188 - [c48]Roberto Interdonato, Andrea Tagarelli, Dino Ienco, Arnaud Sallaberry, Pascal Poncelet:
Local community detection in multilayer networks. ASONAM 2016: 1382-1383 - [c47]Vijay Ingalalli, Dino Ienco, Pascal Poncelet:
SuMGra: Querying Multigraphs via Efficient Indexing. DEXA (1) 2016: 387-401 - [c46]Dino Ienco, Mathieu Roche, Salvatore Romeo, Paolo Rosso, Andrea Tagarelli:
MultiLingMine 2016: Modeling, Learning and Mining for Cross/Multilinguality. ECIR 2016: 869-873 - [c45]Vijay Ingalalli, Dino Ienco, Pascal Poncelet, Serena Villata:
Querying RDF Data Using A Multigraph-based Approach. EDBT 2016: 245-256 - [c44]Lionel Pibre, Jérôme Pasquet, Dino Ienco, Marc Chaumont:
Deep learning is a good steganalysis tool when embedding key is reused for different images, even if there is a cover sourcemismatch. Media Watermarking, Security, and Forensics 2016: 1-11 - [c43]Tomy Rodrigues, Tiago Daniel Sá Cunha, Dino Ienco, Pascal Poncelet, Carlos Soares:
RetweetPatterns: Detection of Spatio-Temporal Patterns of Retweets. WorldCIST (1) 2016: 879-888 - [e1]Dino Ienco, Mathieu Roche, Salvatore Romeo, Paolo Rosso, Andrea Tagarelli:
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. CEUR Workshop Proceedings 1589, CEUR-WS.org 2016 [contents] - 2015
- [j10]Yoann Pitarch, Dino Ienco, Elodie Vintrou, Agnès Bégué, Anne Laurent, Pascal Poncelet, Michel Sala, Maguelonne Teisseire:
Spatio-temporal data classification through multidimensional sequential patterns: Application to crop mapping in complex landscape. Eng. Appl. Artif. Intell. 37: 91-102 (2015) - [j9]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:
A quality-aware spatial data warehouse for querying hydroecological data. Comput. Geosci. 85: 126-135 (2015) - [c42]Salvatore Romeo, Dino Ienco, Andrea Tagarelli:
Knowledge-Based Representation for Transductive Multilingual Document Classification. ECIR 2015: 92-103 - [c41]Manel Achichi, Zohra Bellahsene, Dino Ienco, Konstantin Todorov:
Towards Linked Data Extraction From Tweets. EGC 2015: 383-388 - [c40]Salvatore Romeo, Dino Ienco, Andrea Tagarelli:
Multilingual Document Classification via Transductive Learning. IIR 2015 - [c39]Denis Redondo, Arnaud Sallaberry, Dino Ienco, Faraz Zaidi, Pascal Poncelet:
Layer-Centered Approach for Multigraphs Visualization. IV 2015: 50-55 - [c38]NhatHai Phan, Dino Ienco, Donato Malerba, Pascal Poncelet, Maguelonne Teisseire:
Mining Multi-Relational Gradual Patterns. SDM 2015: 846-854 - [c37]Mykael Vigo, Zohra Bellahsene, Dino Ienco, Konstantin Todorov:
Twitter Event Detection and Modeling with TEWS. ISWC (Posters & Demos) 2015 - [i1]Lionel Pibre, Jérôme Pasquet, Dino Ienco, Marc Chaumont:
Deep Learning for steganalysis is better than a Rich Model with an Ensemble Classifier, and is natively robust to the cover source-mismatch. CoRR abs/1511.04855 (2015) - 2014
- [j8]Ruggero G. Pensa, Dino Ienco, Rosa Meo:
Hierarchical co-clustering: off-line and incremental approaches. Data Min. Knowl. Discov. 28(1): 31-64 (2014) - [j7]Elias Egho, Nicolas Jay, Chedy Raïssi, Dino Ienco, Pascal Poncelet, Maguelonne Teisseire, Amedeo Napoli:
A contribution to the discovery of multidimensional patterns in healthcare trajectories. J. Intell. Inf. Syst. 42(2): 283-305 (2014) - [c36]Salvatore Romeo, Andrea Tagarelli, Dino Ienco:
Semantic-Based Multilingual Document Clustering via Tensor Modeling. EMNLP 2014: 600-609 - [c35]Dino Ienco, Albert Bifet, Bernhard Pfahringer, Pascal Poncelet:
Détection de changements dans des flots de données qualitatives. EGC 2014: 517-520 - [c34]Fabio Guttler, Samuel Alleaume, Christina Corbane, Dino Ienco, Jordi Nin, Pascal Poncelet, Maguelonne Teisseire:
Exploring high repetitivity remote sensing time series for mapping and monitoring natural habitats - A new approach combining OBIA and k-partite graphs. IGARSS 2014: 3930-3933 - [c33]Christina Corbane, Fabio Guttler, Samuel Alleaume, Dino Ienco, Maguelonne Teisseire:
Monitoring the phenology of mediterranean natural habitats with multispectral sensors - An analysis based on multiseasonal field spectra. IGARSS 2014: 3934-3937 - [c32]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. IPMU (1) 2014: 97-106 - [c31]Gloria Bordogna, Dino Ienco:
Fuzzy Core DBScan Clustering Algorithm. IPMU (3) 2014: 100-109 - [c30]Salvatore Romeo, Andrea Tagarelli, Dino Ienco:
Clustering View-Segmented Documents via Tensor Modeling. ISMIS 2014: 385-394 - [c29]Dino Ienco, Indre Zliobaite, Bernhard Pfahringer:
High density-focused uncertainty sampling for active learning over evolving stream data. BigMine 2014: 133-148 - [c28]Julien Rabatel, Madalina Croitoru, Dino Ienco, Pascal Poncelet:
Contextual Itemset Mining in DBpedia. LD4KD 2014 - [c27]Dino Ienco, Albert Bifet, Bernhard Pfahringer, Pascal Poncelet:
Change detection in categorical evolving data streams. SAC 2014: 792-797 - 2013
- [j6]Dino Ienco, Céline Robardet, Ruggero G. Pensa, Rosa Meo:
Parameter-less co-clustering for star-structured heterogeneous data. Data Min. Knowl. Discov. 26(2): 217-254 (2013) - [j5]Francesco Bonchi, Carlos Castillo, Dino Ienco:
Meme ranking to maximize posts virality in microblogging platforms. J. Intell. Inf. Syst. 40(2): 211-239 (2013) - [j4]Elodie Vintrou, Dino Ienco, Agnès Bégué, Maguelonne Teisseire:
Data Mining, A Promising Tool for Large-Area Cropland Mapping. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6(5): 2132-2138 (2013) - [c26]Dino Ienco, Yoann Pitarch, Pascal Poncelet, Maguelonne Teisseire:
Knowledge-Free Table Summarization. DaWaK 2013: 122-133 - [c25]Dino Ienco, Albert Bifet, Indre Zliobaite, Bernhard Pfahringer:
Clustering Based Active Learning for Evolving Data Streams. Discovery Science 2013: 79-93 - [c24]Evangelos E. Papalexakis, Leman Akoglu, Dino Ienco:
Do more views of a graph help? Community detection and clustering in multi-graphs. FUSION 2013: 899-905 - [c23]Phan Nhat Hai, Dino Ienco, Pascal Poncelet, Maguelonne Teisseire:
Mining Representative Movement Patterns through Compression. PAKDD (1) 2013: 314-326 - 2012
- [j3]Rosa Meo, Dipankar Bachar, Dino Ienco:
LODE: A distance-based classifier built on ensembles of positive and negative observations. Pattern Recognit. 45(4): 1409-1425 (2012) - [j2]Dino Ienco, Ruggero G. Pensa, Rosa Meo:
From Context to Distance: Learning Dissimilarity for Categorical Data Clustering. ACM Trans. Knowl. Discov. Data 6(1): 1:1-1:25 (2012) - [c22]Phan Nhat Hai, Dino Ienco, Pascal Poncelet, Maguelonne Teisseire:
Mining Fuzzy Moving Object Clusters. ADMA 2012: 100-114 - [c21]Flavien Bouillot, Pascal Poncelet, Mathieu Roche, Dino Ienco, Elnaz Bigdeli, Stan Matwin:
French presidential elections: what are the most efficient measures for tweets? PLEAD@CIKM 2012: 23-30 - [c20]Corrado Loglisci, Dino Ienco, Mathieu Roche, Maguelonne Teisseire, Donato Malerba:
An Unsupervised Framework for Topological Relations Extraction from Geographic Documents. DEXA (2) 2012: 48-55 - [c19]Dino Ienco, Yoann Pitarch, Pascal Poncelet, Maguelonne Teisseire:
Vers une méthode automatique de construction de hiérarchies contextuelles. EGC 2012: 167-178 - [c18]Phan Nhat Hai, Dino Ienco, Pascal Poncelet, Maguelonne Teisseire:
Mining time relaxed gradual moving object clusters. SIGSPATIAL/GIS 2012: 478-481 - [c17]Corrado Loglisci, Dino Ienco, Mathieu Roche, Maguelonne Teisseire, Donato Malerba:
Toward Geographic Information Harvesting: Extraction of Spatial Relational Facts from Web Documents. ICDM Workshops 2012: 789-796 - [c16]Flavien Bouillot, Phan Nhat Hai, Nicolas Béchet, Sandra Bringay, Dino Ienco, Stan Matwin, Pascal Poncelet, Mathieu Roche, Maguelonne Teisseire:
How to Extract Relevant Knowledge from Tweets? ISIP 2012: 111-120 - [c15]Elias Egho, Chedy Raïssi, Dino Ienco, Nicolas Jay, Amedeo Napoli, Pascal Poncelet, Catherine Quantin, Maguelonne Teisseire:
Healthcare Trajectory Mining by Combining Multidimensional Component and Itemsets. NFMCP 2012: 109-123 - [c14]Phan Nhat Hai, Dino Ienco, Pascal Poncelet, Maguelonne Teisseire:
Extracting Trajectories through an Efficient and Unifying Spatio-temporal Pattern Mining System. ECML/PKDD (2) 2012: 820-823 - [c13]Dino Ienco, Yoann Pitarch, Pascal Poncelet, Maguelonne Teisseire:
Towards an automatic construction of Contextual Attribute-Value Taxonomies. SAC 2012: 113-118 - 2011
- [j1]Paola Bonfante, Francesca Cordero, Stefano Ghignone, Dino Ienco, Luisa Lanfranco, Giorgio Leonardi, Rosa Meo, Stefania Montani, Luca Roversi, Alessia Visconti:
A Modular Database Architecture Enabled to Comparative Sequence Analysis. Trans. Large Scale Data Knowl. Centered Syst. 4: 124-147 (2011) - [c12]Guido Boella, Silvano Colombo Tosatto, Artur S. d'Avila Garcez, Valerio Genovese, Dino Ienco, Leendert W. N. van der Torre:
Neural symbolic architecture for normative agents. AAMAS 2011: 1203-1204 - [c11]Eva Sciacca, Salvatore Spinella, Dino Ienco, Paola Giannini:
Annotated Stochastic Context Free Grammars for Analysis and Synthesis of Proteins. EvoBio 2011: 77-88 - 2010
- [c10]Dino Ienco, Francesco Bonchi, Carlos Castillo:
The Meme Ranking Problem: Maximizing Microblogging Virality. ICDM Workshops 2010: 328-335
2000 – 2009
- 2009
- [c9]Francesca Cordero, Ruggero G. Pensa, Alessia Visconti, Dino Ienco, Marco Botta:
Ontology-Driven Co-clustering of Gene Expression Data. AI*IA 2009: 426-435 - [c8]Dino Ienco, Ruggero G. Pensa, Rosa Meo:
Context-Based Distance Learning for Categorical Data Clustering. IDA 2009: 83-94 - [c7]Dino Ienco, Ruggero G. Pensa, Rosa Meo:
Parameter-Free Hierarchical Co-clustering by n-Ary Splits. ECML/PKDD (1) 2009: 580-595 - [c6]Dino Ienco, Rosa Meo:
Distance based Clustering for Categorical Data. SEBD 2009: 281-288 - 2008
- [c5]Dino Ienco, Rosa Meo:
Towards the Automatic Construction of Conceptual Taxonomies. DaWaK 2008: 327-336 - [c4]Dino Ienco, Serena Villata, Cristina Bosco:
Automatic extraction of subcategorization frames for Italian. LREC 2008 - [c3]Dino Ienco, Rosa Meo:
Exploration and Reduction of the Feature Space by Hierarchical Clustering. SDM 2008: 577-587 - [c2]Dino Ienco, Rosa Meo, Marco Botta:
Using PageRank in Feature Selection. SEBD 2008: 93-100 - [c1]Dino Ienco, Rosa Meo:
Clustering the Feature Space. SEBD 2008: 374-381
Coauthor Index
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