Original Research

Published on 31 Oct 2022

Application of convex hull analysis for the evaluation of data heterogeneity between patient populations of different origin and implications of hospital bias in downstream machine-learning-based data processing: A comparison of 4 critical-care patient datasets

in Medicine and Public Health

Konstantin Sharafutdinov
Jayesh S. Bhat
Sebastian Johannes Fritsch
Kateryna Nikulina
Moein E. Samadi
Richard Polzin
Hannah Mayer
Gernot Marx
Johannes Bickenbach
Andreas Schuppert

Frontiers in Big Data

doi 10.3389/fdata.2022.603429

2,893 views
7 citations

Review

Published on 26 Oct 2022

Apparent age prediction from faces: A survey of modern approaches

in Machine Learning and Artificial Intelligence

Olatunbosun Agbo-Ajala
Serestina Viriri
Mustapha Oloko-Oba
Olufisayo Ekundayo
Reolyn Heymann

Frontiers in Big Data

doi 10.3389/fdata.2022.1025806

8,617 views
5 citations

Mini Review

Published on 25 Oct 2022

The PRC considers military AI ethics: Can autonomy be trusted?

in Cybersecurity and Privacy

Mark Metcalf

Frontiers in Big Data

doi 10.3389/fdata.2022.991392

4,393 views
1 citation

Perspective

Published on 21 Oct 2022

Real-world data mining meets clinical practice: Research challenges and perspective

in Data Mining and Management

Federica Mandreoli
Davide Ferrari
Veronica Guidetti
Federico Motta
Paolo Missier

Frontiers in Big Data

doi 10.3389/fdata.2022.1021621

3,834 views
4 citations

Brief Research Report

Published on 20 Oct 2022

Lethal autonomous weapons systems, revulsion, and respect

in Cybersecurity and Privacy

Richard Dean

Frontiers in Big Data

doi 10.3389/fdata.2022.991459

3,167 views

Methods

Published on 19 Oct 2022

MedGraph: A semantic biomedical information retrieval framework using knowledge graph embedding for PubMed

in Medicine and Public Health

Islam Akef Ebeid

Frontiers in Big Data

doi 10.3389/fdata.2022.965619

3,097 views
2 citations

Original Research

Published on 10 Oct 2022

The determinants of investment fraud: A machine learning and artificial intelligence approach

in Machine Learning and Artificial Intelligence

Mark Lokanan

Frontiers in Big Data

doi 10.3389/fdata.2022.961039

4,409 views
3 citations

Original Research

Published on 10 Oct 2022

Imbalanced ECG signal-based heart disease classification using ensemble machine learning technique

in Medicine and Public Health

Adyasha Rath
Debahuti Mishra
Ganapati Panda

Frontiers in Big Data

doi 10.3389/fdata.2022.1021518

4,420 views
8 citations

Methods

Published on 30 Sep 2022

Using machine learning to improve neutron identification in water Cherenkov detectors

in Big Data and AI in High Energy Physics

Blair Jamieson
Matt Stubbs
Sheela Ramanna
John Walker
Nick Prouse
Ryosuke Akutsu
Patrick de Perio
Wojciech Fedorko

Frontiers in Big Data

doi 10.3389/fdata.2022.978857

2,479 views
6 citations

Brief Research Report

Published on 30 Sep 2022

The role of gender in providing expert advice on cyber conflict and artificial intelligence for military personnel

in Cybersecurity and Privacy

Kelly Fisher

Frontiers in Big Data

doi 10.3389/fdata.2022.992620

2,010 views
1 citation

Original Research

Published on 28 Sep 2022

Application of multiple testing procedures for identifying relevant comorbidities, from a large set, in traumatic brain injury for research applications utilizing big health-administrative data

in Medicine and Public Health

Sayantee Jana
Mitchell Sutton
Tatyana Mollayeva
Vincy Chan
Angela Colantonio
Michael David Escobar

Frontiers in Big Data

doi 10.3389/fdata.2022.793606

1,563 views
3 citations

Opinion

Published on 27 Sep 2022

The ABC recommendations for validation of supervised machine learning results in biomedical sciences

in Medicine and Public Health

Davide Chicco
Giuseppe Jurman

Frontiers in Big Data

doi 10.3389/fdata.2022.979465

1,784 views
6 citations

Original Research

Published on 26 Sep 2022

Multi-objective cluster based bidding algorithm for E-commerce search engine marketing system

in Recommender Systems

Cheng Jie
Zigeng Wang
Da Xu
Wei Shen

Frontiers in Big Data

doi 10.3389/fdata.2022.966982

3,160 views
1 citation

Original Research

Published on 20 Sep 2022

Real-time recommendations for energy-efficient appliance usage in households

in Recommender Systems

Magdalini Eirinaki
Iraklis Varlamis
Janhavi Dahihande
Akshay Jaiswal
Akshay Anil Pagar
Ajinkya Thakare

Frontiers in Big Data

doi 10.3389/fdata.2022.972206

5,282 views
7 citations

Perspective

Published on 16 Sep 2022

A concentric circles view of health data relations facilitates understanding of sociotechnical challenges for learning health systems and the role of federated data networks

in Cybersecurity and Privacy

Richard Milne
Mark Sheehan
Brendan Barnes
Janek Kapper
Nathan Lea
James N'Dow
Gurparkash Singh
Amelia Martín-Uranga
Nigel Hughes

Frontiers in Big Data

doi 10.3389/fdata.2022.945739

3,452 views

Original Research

Published on 14 Sep 2022

“Broadcast your gender.” A comparison of four text-based classification methods of German YouTube channels

in Data Science

Lena Seewann
Roland Verwiebe
Claudia Buder
Nina-Sophie Fritsch

Frontiers in Big Data

doi 10.3389/fdata.2022.908636

3,866 views
1 citation

Navigation group

Articles

Application of convex hull analysis for the evaluation of data heterogeneity between patient populations of different origin and implications of hospital bias in downstream machine-learning-based data processing: A comparison of 4 critical-care patient datasets

Apparent age prediction from faces: A survey of modern approaches

The PRC considers military AI ethics: Can autonomy be trusted?

Real-world data mining meets clinical practice: Research challenges and perspective

Lethal autonomous weapons systems, revulsion, and respect

MedGraph: A semantic biomedical information retrieval framework using knowledge graph embedding for PubMed

The determinants of investment fraud: A machine learning and artificial intelligence approach

Imbalanced ECG signal-based heart disease classification using ensemble machine learning technique

Using machine learning to improve neutron identification in water Cherenkov detectors

The role of gender in providing expert advice on cyber conflict and artificial intelligence for military personnel

Application of multiple testing procedures for identifying relevant comorbidities, from a large set, in traumatic brain injury for research applications utilizing big health-administrative data

The ABC recommendations for validation of supervised machine learning results in biomedical sciences

Multi-objective cluster based bidding algorithm for E-commerce search engine marketing system

Real-time recommendations for energy-efficient appliance usage in households

A concentric circles view of health data relations facilitates understanding of sociotechnical challenges for learning health systems and the role of federated data networks

“Broadcast your gender.” A comparison of four text-based classification methods of German YouTube channels