Ienco, D.[Dino]
* 2012: LODE: A distance-based classifier built on ensembles of positive and negative observations
* 2017: graph-based approach to detect spatiotemporal dynamics in satellite image time series, A
* 2018: Two-Branch CNN Architecture for Land Cover Classification of PAN and MS Imagery, A
* 2019: Combining Sentinel-1 and Sentinel-2 Satellite Image Time Series for land cover mapping via a multi-source deep learning architecture
* 2019: DuPLO: A DUal view Point deep Learning architecture for time series classificatiOn
* 2019: Mapping Irrigated Areas Using Sentinel-1 Time Series in Catalonia, Spain
* 2020: Object-Based Multi-Temporal and Multi-Source Land Cover Mapping Leveraging Hierarchical Class Relationships
* 2022: Positive Unlabelled Learning for Satellite Images'Time Series Analysis: An Application to Cereal and Forest Mapping
* 2023: Masking Strategies for Background Bias Removal in Computer Vision Models
* 2023: PDiscoNet: Semantically consistent part discovery for fine-grained recognition
* 2023: Sparse Linear Concept Discovery Models
* 2024: Determining Effective Temporal Windows for Rapeseed Detection Using Sentinel-1 Time Series and Machine Learning Algorithms
12 for Ienco, D.