Frontiers in Big Data

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

6,873 views
5 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

6,661 views
12 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

4,908 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

10,311 views
10 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

6,198 views
5 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

3,951 views

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

6,730 views
5 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

5,150 views
1 citation

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

10,269 views
29 citations

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

12,616 views
61 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

7,073 views
35 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

5,704 views
17 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

8,200 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

9,058 views
22 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

35,549 views
110 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

12,994 views
23 citations

Perspective

Published on 20 Nov 2020

CADRE: A Collaborative, Cloud-Based Solution for Big Bibliographic Data Research in Academic Libraries

in Data Mining and Management

Patricia L. Mabry
Xiaoran Yan
Valentin Pentchev
Robert Van Rennes
Stephanie Hernandez McGavin
Jamie V. Wittenberg

Frontiers in Big Data

doi 10.3389/fdata.2020.556282

6,716 views
18 citations

Systematic Review

Published on 12 Nov 2020

Securing Machine Learning in the Cloud: A Systematic Review of Cloud Machine Learning Security

in Machine Learning and Artificial Intelligence

Adnan Qayyum
Aneeqa Ijaz
Muhammad Usama
Waleed Iqbal
Junaid Qadir
Yehia Elkhatib
Ala Al-Fuqaha

Frontiers in Big Data

doi 10.3389/fdata.2020.587139

27,082 views
63 citations

Original Research

Published on 30 Oct 2020

The Human Blood Transcriptome in a Large Population Cohort and Its Relation to Aging and Health

in Medicine and Public Health

Maria Schmidt
Lydia Hopp
Arsen Arakelyan
Holger Kirsten
Christoph Engel
Kerstin Wirkner
Knut Krohn
Ralph Burkhardt
Joachim Thiery
Markus Loeffler

Frontiers in Big Data

doi 10.3389/fdata.2020.548873

16,663 views
35 citations

Original Research

Published on 30 Oct 2020

What Do You Think About Your Company’s Leaks? A Survey on End-Users Perception Toward Data Leakage Mechanisms

in Cybersecurity and Privacy

Yoann Bertrand
Karima Boudaoud
Michel Riveill

Frontiers in Big Data

doi 10.3389/fdata.2020.568257

9,378 views
7 citations

Original Research

Published on 28 Oct 2020

Ensemble Machine Learning Approach Improves Predicted Spatial Variation of Surface Soil Organic Carbon Stocks in Data-Limited Northern Circumpolar Region

in Data-driven Climate Sciences

Umakant Mishra
Sagar Gautam
William J. Riley
Forrest M. Hoffman

Frontiers in Big Data

doi 10.3389/fdata.2020.528441

8,241 views
47 citations

Brief Research Report

Published on 26 Oct 2020

Dashboard of Sentiment in Austrian Social Media During COVID-19

in Data Mining and Management

Max Pellert
Jana Lasser
Hannah Metzler
David Garcia

Frontiers in Big Data

doi 10.3389/fdata.2020.00032

12,653 views
39 citations

Hypothesis and Theory

Published on 23 Oct 2020

Decentralized but Globally Coordinated Biodiversity Data

in Data Mining and Management

Beckett W. Sterner
Edward E. Gilbert
Nico M. Franz

Frontiers in Big Data

doi 10.3389/fdata.2020.519133

8,813 views
17 citations

Original Research

Published on 16 Oct 2020

LocationSpark: In-memory Distributed Spatial Query Processing and Optimization

in Data Mining and Management

Mingjie Tang
Yongyang Yu
Ahmed R. Mahmood
Qutaibah M. Malluhi
Mourad Ouzzani
Walid G. Aref

Frontiers in Big Data

doi 10.3389/fdata.2020.00030

7,267 views
24 citations

716 articles

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

Editorial: Innovations and Perspectives in Data Mining and Knowledge Discovery

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

Identifying Clinical and Genomic Features Associated With Chronic Kidney Disease

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

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

CADRE: A Collaborative, Cloud-Based Solution for Big Bibliographic Data Research in Academic Libraries

Securing Machine Learning in the Cloud: A Systematic Review of Cloud Machine Learning Security

The Human Blood Transcriptome in a Large Population Cohort and Its Relation to Aging and Health

What Do You Think About Your Company’s Leaks? A Survey on End-Users Perception Toward Data Leakage Mechanisms

Ensemble Machine Learning Approach Improves Predicted Spatial Variation of Surface Soil Organic Carbon Stocks in Data-Limited Northern Circumpolar Region

Dashboard of Sentiment in Austrian Social Media During COVID-19

Decentralized but Globally Coordinated Biodiversity Data

LocationSpark: In-memory Distributed Spatial Query Processing and Optimization