176 results on '"Dino Ienco"'
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2. Semi-supervised Heterogeneous Domain Adaptation via Disentanglement and Pseudo-labelling.
3. Country-Scale Mapping of Forest Parameters Using Deep Learning and Tandem-X Insar Data.
4. Joint Cloud Removal and Classification of Sentinel-2 Image Time Series for Agricultural Land Cover Mapping in Northern Benin.
5. Rapeseed Fields Mapping Using Sentinel-1 Time Series.
6. Potential of Spectral-Spatial Analysis to Map Forest Tree Dieback Due to Bark Beetle Hotspots in Sentinel-2 Images.
7. Aligning Geo-Tagged Clip Representations and Satellite Imagery for Few-Shot Land Use Classification.
8. Multi-Scale Classification of Sentinel-2 Images for Land Cover Mapping Using Two-Branch Convolutional Neural Network.
9. Integrating Predictive Process Monitoring Techniques in Smart Agriculture.
10. MARA: A deep learning based framework for multilayer graph simplification.
11. Orthrus: multi-scale land cover mapping from satellite image time series via 2D encoding and convolutional neural network.
12. PDiscoNet: Semantically consistent part discovery for fine-grained recognition.
13. Une méthode à base de réseaux de neurones pour la simplification des graphes multicouches dans un contexte de classification des noeuds.
14. Sparse Linear Concept Discovery Models.
15. Masking Strategies for Background Bias Removal in Computer Vision Models.
16. Fair Semi-supervised Representation Learning for Tabular Data Classification.
17. Counterfactual Explanations for Remote Sensing Time Series Data: An Application to Land Cover Classification.
18. Potential of Deep Learning for Forest Height Estimation from Tandem-X Bistatic Insar Data.
19. DisCoM-KD: Cross-Modal Knowledge Distillation via Disentanglement Representation and Adversarial Learning.
20. PDiscoFormer: Relaxing Part Discovery Constraints with Vision Transformers.
21. Semi Supervised Heterogeneous Domain Adaptation via Disentanglement and Pseudo-Labelling.
22. Towards a multimodal framework for remote sensing image change retrieval and captioning.
23. Reuse out-of-year data to enhance land cover mapping via feature disentanglement and contrastive learning.
24. Artificial Intelligence Algorithms for Rapeseed Fields Mapping Using Sentinel-1 Time Series: Temporal Transfer Scenario and Ground Sampling Constraints.
25. Temporal-Domain Adaptation for Satellite Image Time-Series Land-Cover Mapping With Adversarial Learning and Spatially Aware Self-Training.
26. A Deep Learning Framework for the Estimation of Forest Height From Bistatic TanDEM-X Data.
27. Enhancing Forest Attribute Prediction by Considering Terrain and Scan Angles From Lidar Point Clouds: A Neural Network Approach.
28. Deep semi-supervised clustering for multi-variate time-series.
29. A Deep Neural Network Framework for Multivariate Time Series Classification With Positive and Unlabeled Data.
30. Multisensor Temporal Unsupervised Domain Adaptation for Land Cover Mapping With Spatial Pseudo-Labeling and Adversarial Learning.
31. FairSwiRL: fair semi-supervised classification with representation learning.
32. Clustering semi-supervisé de séries temporelles multivariées par apprentissage profond.
33. Estimating Forest Heights and Wood Volume using a Deep Learning Approach from Gedi Waveform Data.
34. Unsupervised Domain Adaptation Methods for Land Cover Mapping with Optical Satellite Image Time Series.
35. Combine Histogram Matching and Domain Adaptation to Cope with Temporal Transfer Learning for the Semantic Segmentation of VHR Images.
36. Large Scale Forest Parameter Estimation Through a Deep Learning-Based Fusion of Sentinel-2 and Tandem-X Data.
37. Hierarchical priors for Hyperspherical Prototypical Networks.
38. A constrastive semi-supervised deep learning framework for land cover classification of satellite time series with limited labels.
39. DyHANE: dynamic heterogeneous attributed network embedding through experience node replay.
40. Determining Effective Temporal Windows for Rapeseed Detection Using Sentinel-1 Time Series and Machine Learning Algorithms.
41. Early Season Forecasting of Corn Yield at Field Level from Multi-Source Satellite Time Series Data.
42. Combining LiDAR Metrics and Sentinel-2 Imagery to Estimate Basal Area and Wood Volume in Complex Forest Environment via Neural Networks.
43. VERTIGo: A Visual Platform for Querying and Exploring Large Multilayer Networks.
44. Dealing With Multipositive Unlabeled Learning Combining Metric Learning and Deep Clustering.
45. Counterfactual Explanations for Land Cover Mapping in a Multi-class Setting.
46. Sparse Linear Concept Discovery Models.
47. Masking Strategies for Background Bias Removal in Computer Vision Models.
48. Hierarchical Concept Discovery Models: A Concept Pyramid Scheme.
49. PDiscoNet: Semantically consistent part discovery for fine-grained recognition.
50. Evaluate Pseudo Labeling and CNN for Multi-variate Time Series Classification in Low-Data Regimes.
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