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Self-attention for raw optical Satellite Time Series Classification

ISPRS journal of photogrammetry and remote sensing, 2020-11, Vol.169, p.421-435

2020

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Multi-Temporal Land Cover Classification with Sequential Recurrent Encoders

ISPRS international journal of geo-information, 2018-04, Vol.7 (4), p.129

2018

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Tslearn, A Machine Learning Toolkit for Time Series Data

Journal of machine learning research, 2020-01, Vol.21, p.1-6

2020

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WildCLIP: Scene and Animal Attribute Retrieval from Camera Trap Data with Domain-Adapted Vision-Language Models

International journal of computer vision, 2024-09, Vol.132 (9), p.3770-3786

2024

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End-to-end learned early classification of time series for in-season crop type mapping

ISPRS journal of photogrammetry and remote sensing, 2023-02, Vol.196, p.445-456

2023

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Where the White Continent Is Blue: Deep Learning Locates Bare Ice in Antarctica

Geophysical research letters, 2024-02, Vol.51 (3), p.381-n/a

2024

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Multi-temporal forest monitoring in the Swiss Alps with knowledge-guided deep learning

Remote sensing of environment, 2024-05, Vol.305, p.114109, Article 114109

2024

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Large-scale detection of marine debris in coastal areas with Sentinel-2

iScience, 2023-12, Vol.26 (12), p.108402-108402, Article 108402

2023

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Mapping drivers of tropical forest loss with satellite image time series and machine learning

Environmental research letters, 2024-06, Vol.19 (6), p.64053

2024

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Meta-learning to address diverse Earth observation problems across resolutions

Communications earth & environment, 2024-12, Vol.5 (1), p.37-14, Article 37

2024

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Short-term runoff forecasting in an alpine catchment with a long short-term memory neural network

Frontiers in water, 2023-04, Vol.5

2023

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“Visualising the project landscape”: a spatialisation describing workload attributes as terrain

Environmental earth sciences, 2015-11, Vol.74 (10), p.7159-7172

2015

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Time Dependent Image Generation of Plants from Incomplete Sequences with CNN-Transformer

Pattern Recognition, p.495-510

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Multi3Net: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2019-07, Vol.33 (1), p.702-709

2019

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TOWARDS DETECTING FLOATING OBJECTS ON A GLOBAL SCALE WITH LEARNED SPATIAL FEATURES USING SENTINEL 2

ISPRS annals of the photogrammetry, remote sensing and spatial information sciences, 2021-06, Vol.V-3-2021, p.285-293

2021

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Temporal Vegetation Modelling Using Long Short-Term Memory Networks for Crop Identification from Medium-Resolution Multi-spectral Satellite Images

2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2017, p.1496-1504

2017

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Meta-Learning for Few-Shot Land Cover Classification

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020, p.788-796

2020

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Humans are Poor Few-Shot Classifiers for Sentinel-2 Land Cover

IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022, p.4859-4862

2022

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Recurrent Neural Networks and the Temporal Component

Deep Learning for the Earth Sciences, 2021, p.105-119

2021

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Model and Data Uncertainty for Satellite Time Series Forecasting with Deep Recurrent Models

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020, p.7025-7028

2020

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Detection of Settlements in Tanzania and Mozambique by Many Regional Few-Shot Models

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023, p.522-525

2023

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Improving Few-Shot Object Detection with Object Part Proposals

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023, p.6502-6505

2023

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Classification of Tropical Deforestation Drivers with Machine Learning and Satellite Image Time Series

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023, p.911-914

2023

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InSAR Displacement Time Series Mining: A Machine Learning Approach

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021, p.3301-3304

2021

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Semi-Supervised Deep Learning Representations in Earth Observation Based Forest Management

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023, p.650-653

2023

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Self-attention for raw optical Satellite Time Series Classification

Multi-Temporal Land Cover Classification with Sequential Recurrent Encoders

Tslearn, A Machine Learning Toolkit for Time Series Data

WildCLIP: Scene and Animal Attribute Retrieval from Camera Trap Data with Domain-Adapted Vision-Language Models

End-to-end learned early classification of time series for in-season crop type mapping

Where the White Continent Is Blue: Deep Learning Locates Bare Ice in Antarctica

Multi-temporal forest monitoring in the Swiss Alps with knowledge-guided deep learning

Large-scale detection of marine debris in coastal areas with Sentinel-2

Mapping drivers of tropical forest loss with satellite image time series and machine learning

Meta-learning to address diverse Earth observation problems across resolutions

Short-term runoff forecasting in an alpine catchment with a long short-term memory neural network

“Visualising the project landscape”: a spatialisation describing workload attributes as terrain

Time Dependent Image Generation of Plants from Incomplete Sequences with CNN-Transformer

Multi3Net: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery

TOWARDS DETECTING FLOATING OBJECTS ON A GLOBAL SCALE WITH LEARNED SPATIAL FEATURES USING SENTINEL 2

Temporal Vegetation Modelling Using Long Short-Term Memory Networks for Crop Identification from Medium-Resolution Multi-spectral Satellite Images

Meta-Learning for Few-Shot Land Cover Classification

Humans are Poor Few-Shot Classifiers for Sentinel-2 Land Cover

Recurrent Neural Networks and the Temporal Component

Model and Data Uncertainty for Satellite Time Series Forecasting with Deep Recurrent Models

Detection of Settlements in Tanzania and Mozambique by Many Regional Few-Shot Models

Improving Few-Shot Object Detection with Object Part Proposals

Classification of Tropical Deforestation Drivers with Machine Learning and Satellite Image Time Series

InSAR Displacement Time Series Mining: A Machine Learning Approach

Semi-Supervised Deep Learning Representations in Earth Observation Based Forest Management

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