Opinion

Published on 12 Feb 2021

A Policy and Practice Review of Consumer Protections and Their Application to Hospital-Sourced Data Aggregation and Analytics by Third-Party Companies

in Medicine and Public Health

Vasiliki Rahimzadeh

Frontiers in Big Data

doi 10.3389/fdata.2020.603044

5,114 views
4 citations

Conceptual Analysis

Published on 29 Jan 2021

Algorithmic Accountability in Context. Socio-Technical Perspectives on Structural Causal Models

in Data Mining and Management

Nikolaus Poechhacker
Severin Kacianka

Frontiers in Big Data

doi 10.3389/fdata.2020.519957

4,802 views
8 citations

Original Research

Published on 27 Jan 2021

Entropy of Co-Enrolment Networks Reveal Disparities in High School STEM Participation

in Big Data Networks

Steven Martin Turnbull
Dion R. J. O’Neale

Frontiers in Big Data

doi 10.3389/fdata.2020.599016

3,512 views

Original Research

Published on 26 Jan 2021

Merging Datasets of CyberSecurity Incidents for Fun and Insight

in Cybersecurity and Privacy

Giovanni Abbiati
Silvio Ranise
Antonio Schizzerotto
Alberto Siena

Frontiers in Big Data

doi 10.3389/fdata.2020.521132

8,135 views
6 citations

Original Research

Published on 26 Jan 2021

Proximity-Based Compression for Network Embedding

in Data Mining and Management

Muhammad Ifte Islam
Farhan Tanvir
Ginger Johnson
Esra Akbas
Mehmet Emin Aktas

Frontiers in Big Data

doi 10.3389/fdata.2020.608043

4,566 views
5 citations

Original Research

Published on 18 Jan 2021

Monitoring Crop Status in the Continental United States Using the SMAP Level-4 Carbon Product

in Data-driven Climate Sciences

Patrick M. Wurster
Marco Maneta
John S. Kimball
K. Arthur Endsley
Santiago Beguería

Frontiers in Big Data

doi 10.3389/fdata.2020.597720

5,064 views
3 citations

Editorial

Published on 18 Jan 2021

Editorial: Innovations and Perspectives in Data Mining and Knowledge Discovery

in Data Mining and Management

Naoki Abe
Huan Liu
Kuansan Wang

Frontiers in Big Data

doi 10.3389/fdata.2020.637906

3,173 views

Original Research

Published on 14 Jan 2021

GPU-Accelerated Machine Learning Inference as a Service for Computing in Neutrino Experiments

in Big Data and AI in High Energy Physics

Michael Wang
Tingjun Yang
Maria Acosta Flechas
Philip Harris
Benjamin Hawks
Burt Holzman
Kyle Knoepfel
Jeffrey Krupa
Kevin Pedro
Nhan Tran

Frontiers in Big Data

doi 10.3389/fdata.2020.604083

7,388 views
21 citations

Original Research

Published on 14 Jan 2021

Identifying Clinical and Genomic Features Associated With Chronic Kidney Disease

in Medicine and Public Health

M. Megan Moreno
Travaughn C. Bain
Melissa S. Moreno
Katherine C. Carroll
Emily R. Cunningham
Zoe Ashton
Roby Poteau
Ersoy Subasi
Michael Lipkowitz
Munevver Mine Subasi

Frontiers in Big Data

doi 10.3389/fdata.2020.528828

3,471 views
1 citation

Original Research

Published on 12 Jan 2021

Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics

in Big Data and AI in High Energy Physics

Yutaro Iiyama
Gianluca Cerminara
Abhijay Gupta
Jan Kieseler
Vladimir Loncar
Maurizio Pierini
Shah Rukh Qasim
Marcel Rieger
Sioni Summers
Gerrit Van Onsem

Frontiers in Big Data

doi 10.3389/fdata.2020.598927

9,611 views
47 citations

Original Research

Published on 21 Dec 2020

Heterogeneous Reconstruction of Tracks and Primary Vertices With the CMS Pixel Tracker

in Big Data and AI in High Energy Physics

A. Bocci
V. Innocente
M. Kortelainen
F. Pantaleo
M. Rovere

Frontiers in Big Data

doi 10.3389/fdata.2020.601728

5,084 views
26 citations

Original Research

Published on 18 Dec 2020

The Bayesian Additive Regression Trees Formula for Safe Machine Learning-Based Intraocular Lens Predictions

in Medicine and Public Health

Gerald P. Clarke
Adam Kapelner

Frontiers in Big Data

doi 10.3389/fdata.2020.572134

4,210 views
13 citations

Perspective

Published on 10 Dec 2020

Perspective: Acknowledging Data Work in the Social Media Research Lifecycle

in Data Mining and Management

Katharina E. Kinder-Kurlanda
Katrin Weller

Frontiers in Big Data

doi 10.3389/fdata.2020.509954

6,766 views
2 citations

Original Research

Published on 27 Nov 2020

CLUE: A Fast Parallel Clustering Algorithm for High Granularity Calorimeters in High-Energy Physics

in Big Data and AI in High Energy Physics

Marco Rovere
Ziheng Chen
Antonio Di Pilato
Felice Pantaleo
Chris Seez

Frontiers in Big Data

doi 10.3389/fdata.2020.591315

5,997 views
18 citations

Perspective

Published on 23 Nov 2020

Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities

in Machine Learning and Artificial Intelligence

Remy Kusters
Dusan Misevic
Hugues Berry
Antoine Cully
Yann Le Cunff
Loic Dandoy
Natalia Díaz-Rodríguez
Marion Ficher
Jonathan Grizou
Alice Othmani

Frontiers in Big Data

doi 10.3389/fdata.2020.577974

24,705 views
51 citations

Review

Published on 23 Nov 2020

Machine Learning Methods to Predict Acute Respiratory Failure and Acute Respiratory Distress Syndrome

in Medicine and Public Health

An-Kwok Ian Wong
Patricia C. Cheung
Rishikesan Kamaleswaran
Greg S. Martin
Andre L. Holder

Frontiers in Big Data

doi 10.3389/fdata.2020.579774

10,468 views
17 citations

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Articles

A Policy and Practice Review of Consumer Protections and Their Application to Hospital-Sourced Data Aggregation and Analytics by Third-Party Companies

Algorithmic Accountability in Context. Socio-Technical Perspectives on Structural Causal Models

Entropy of Co-Enrolment Networks Reveal Disparities in High School STEM Participation

Merging Datasets of CyberSecurity Incidents for Fun and Insight

Proximity-Based Compression for Network Embedding

Monitoring Crop Status in the Continental United States Using the SMAP Level-4 Carbon Product

Editorial: Innovations and Perspectives in Data Mining and Knowledge Discovery

GPU-Accelerated Machine Learning Inference as a Service for Computing in Neutrino Experiments

Identifying Clinical and Genomic Features Associated With Chronic Kidney Disease

Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics

Heterogeneous Reconstruction of Tracks and Primary Vertices With the CMS Pixel Tracker

The Bayesian Additive Regression Trees Formula for Safe Machine Learning-Based Intraocular Lens Predictions

Perspective: Acknowledging Data Work in the Social Media Research Lifecycle

CLUE: A Fast Parallel Clustering Algorithm for High Granularity Calorimeters in High-Energy Physics

Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities

Machine Learning Methods to Predict Acute Respiratory Failure and Acute Respiratory Distress Syndrome