JuLib | Articles & more - {"Data-Intensive Science and Federated Computing"}

Parallel and Scalable Machine Learning

Riedel, Morris
2020

“...Data-Intensive Science and Federated Computing...”
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Scaling Up a Multispectral Resnet-50 to 128 GPUs

Sedona, Rocco
2020

“...Data-Intensive Science and Federated Computing...”
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Approaching Remote Sensing Image Classification with Ensembles of Support Vector Machines on the D-Wave Quantum Annealer

Cavallaro, Gabriele
2020

“...Data-Intensive Science and Federated Computing...”
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6

Contribution to a book
Contribution to a conference proceedings

Exploration of machine learning methods for the classification of infrared limb spectra of polar stratospheric clouds

Sedona, Rocco
2020

Atmospheric measurement techniques, 13 (2020) 7, S. 3661 - 3682

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Multi-Scale Convolutional SVM Networks for Multi-Class Classification Problems of Remote Sensing Images

Cavallaro, Gabriele
2019

“...Data-Intensive Science and Federated Computing...”
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Remote Sensing Big Data Classification with High Performance Distributed Deep Learning

Sedona, Rocco
2019

Remote sensing, 11 (2019) 24, S. 3056 -

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9

Scalable Workflows for Remote Sensing Data Processing with the Deep-Est Modular Supercomputing Architecture

Erlingsson, Ernir
2019

“...Data-Intensive Science and Federated Computing...”
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Contribution to a book
Contribution to a conference proceedings

Cloud Deep Networks for Hyperspectral Image Analysis

Haut, Juan Mario
2019

IEEE transactions on geoscience and remote sensing, 57 (2019) 12, S. 9832 - 9848

“...Data-Intensive Science and Federated Computing...”

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Remote Sensing Data Analytics with the Udocker Container Tool using Multi-GPU Deep Learning Systems

Cavallaro, Gabriele
2019

“...Data-Intensive Science and Federated Computing...”
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12

Poster

Remote Sensing Data Analytics with the Udocker Container Tool using Multi-GPU Deep Learning Systems

Cavallaro, Gabriele
2019

“...Data-Intensive Science and Federated Computing...”
OpenAccess OpenAccess

13

Parallel and Scalable Machine Learning

Riedel, Morris
2019

“...Data-Intensive Science and Federated Computing...”
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Scientific workflows applied to the coupling of a continuum (Elmer v8.3) and a discrete element (HiDEM v1.0) ice dynamic model

Memon, Shahbaz
2019

Geoscientific model development, 12 (2019) 7, S. 3001 - 3015

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15

Introduction to Deep Learning Models

Riedel, Morris
2019

“...Data-Intensive Science and Federated Computing...”
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Scaling Support Vector Machines Towards Exascale Computing for Classification of Large-Scale High-Resolution Remote Sensing Images

Erlingsson, Ernir
2018

“...Data-Intensive Science and Federated Computing...”
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Contribution to a book
Contribution to a conference proceedings

Automated Analysis of Remotely Sensed Images Using the Unicore Workflow Management System

Memon, Mohammad Shahbaz
2018

“...Data-Intensive Science and Federated Computing...”
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Parallel and Scalable Machine Learning

Riedel, Morris
2018

“...Data-Intensive Science and Federated Computing...”

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Introduction to Deep Learning Models

Riedel, Morris
2018

“...Data-Intensive Science and Federated Computing...”
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