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A High-Performance Multispectral Adaptation GAN for Harmonizing Dense Time Series of Landsat-8 and Sentinel-2 Images
IEEE journal of selected topics in applied earth observations and remote sensing, 2021, Vol.14, p.10134-10146
2021
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Deep Learning Forecasts a Strained Turbulent Flow Velocity Field in Temporal Lagrangian Framework: Comparison of LSTM and GRU
Fluids (Basel), 2022-11, Vol.7 (11), p.344
2022
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Large scale performance analysis of distributed deep learning frameworks for convolutional neural networks
Journal of big data, 2023-12, Vol.10 (1), p.96-23, Article 96
2023
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Analysis of Chest X-ray for COVID-19 Diagnosis as a Use Case for an HPC-Enabled Data Analysis and Machine Learning Platform for Medical Diagnosis Support
Diagnostics (Basel), 2023-01, Vol.13 (3), p.391
2023
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A deep learning-based surrogate of a physiology simulator for diagnosis support in the ICU
Journal of critical care, 2024-06, Vol.81
2024
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Toward the Production of Spatiotemporally Consistent Annual Land Cover Maps Using Sentinel-2 Time Series
IEEE geoscience and remote sensing letters, 2023, Vol.20, p.1-5
2023
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Remote Sensing Big Data Classification with High Performance Distributed Deep Learning
Remote sensing (Basel, Switzerland), 2019-12, Vol.11 (24), p.3056
2019
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A scalable pipeline to create synthetic datasets from functional–structural plant models for deep learning
in silico plants, 2024-01, Vol.6 (1)
2024
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The Capability of Recurrent Neural Networks to Predict Turbulence Flow via Spatiotemporal Features
2022 IEEE 10th Jubilee International Conference on Computational Cybernetics and Cyber-Medical Systems (ICCC), 2022, p.000335-000338
2022
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JUWELS Booster – A Supercomputer for Large-Scale AI Research
High Performance Computing, p.453-468
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An Automatic Approach for the Production of a Time Series of Consistent Land-Cover Maps Based on Long-Short Term Memory
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022, p.203-206
2022
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Practice and Experience in Using Parallel and Scalable Machine Learning in Remote Sensing from HPC Over Cloud to Quantum Computing
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021, p.1571-1574
2021
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Improving Generalization for Few-Shot Remote Sensing Classification with Meta-Learning
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022, p.5061-5064
2022
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Enhancing Large Batch Size Training of Deep Models for Remote Sensing Applications
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021, p.1583-1586
2021
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Accelerating Hyperparameter Tuning of a Deep Learning Model for Remote Sensing Image Classification
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022, p.263-266
2022
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End-to-End Process Orchestration of Earth Observation Data Workflows with Apache Airflow on High Performance Computing
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023, p.711-714
2023
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Multi-Scale Convolutional SVM Networks for Multi-Class Classification Problems of Remote Sensing Images
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019, p.875-878
2019
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The Influence of Sampling Methods on Pixel-Wise Hyperspectral Image Classification with 3D Convolutional Neural Networks
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018, p.2087-2090
2018
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Practice and Experience in using Parallel and Scalable Machine Learning with Heterogenous Modular Supercomputing Architectures
2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2021, p.76-85
2021
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Scaling Up a Multispectral Resnet-50 to 128 GPUs
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020, p.1058-1061
2020
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