Frontiers in Big Data

Original Research

Published on 08 Jan 2024

A novel approach to fake news classification using LSTM-based deep learning models

in Machine Learning and Artificial Intelligence

Halyna Padalko
Vasyl Chomko
Dmytro Chumachenko

Frontiers in Big Data

doi 10.3389/fdata.2023.1320800

12,148 views
46 citations

Methods

Published on 04 Jan 2024

Hybridization of long short-term memory neural network in fractional time series modeling of inflation

in Data Science

Erman Arif
Elin Herlinawati
Dodi Devianto
Mutia Yollanda
Dony Permana

Frontiers in Big Data

doi 10.3389/fdata.2023.1282541

4,194 views
6 citations

Original Research

Published on 22 Dec 2023

Criminal clickbait: a panel data analysis on the attractiveness of online advertisements offering stolen data

in Cybersecurity and Privacy

Renushka Madarie
Christianne de Poot
Marleen Weulen Kranenbarg

Frontiers in Big Data

doi 10.3389/fdata.2023.1320569

3,513 views
2 citations

Correction

Published on 20 Dec 2023

Corrigendum: Non-invasive detection of anemia using lip mucosa images transfer learning convolutional neural networks

in Medicine and Public Health

Shekhar Mahmud
Mohammed Mansour
Turker Berk Donmez
Mustafa Kutlu
Chris Freeman

Frontiers in Big Data

doi 10.3389/fdata.2023.1338363

1,702 views
5 citations

Correction

Published on 19 Dec 2023

Corrigendum: Towards an understanding of global brain data governance: ethical positions that underpin global brain data governance discourse

in Data Science

Paschal Ochang
Damian Eke
Bernd Carsten Stahl

Frontiers in Big Data

doi 10.3389/fdata.2023.1344345

1,603 views

Methods

Published on 19 Dec 2023

Enhancing knowledge discovery from unstructured data using a deep learning approach to support subsurface modeling predictions

in Data Mining and Management

Brendan Hoover
Dakota Zaengle
MacKenzie Mark-Moser
Patrick Wingo
Anuj Suhag
Kelly Rose

Frontiers in Big Data

doi 10.3389/fdata.2023.1227189

4,089 views
3 citations

Mini Review

Published on 19 Dec 2023

Beyond-accuracy: a review on diversity, serendipity, and fairness in recommender systems based on graph neural networks

in Recommender Systems

Tomislav Duricic
Dominik Kowald
Emanuel Lacic
Elisabeth Lex

Frontiers in Big Data

doi 10.3389/fdata.2023.1251072

8,994 views
20 citations

Correction

Published on 12 Dec 2023

Corrigendum: Do you hear the people sing? Comparison of synchronized URL and narrative themes in 2020 and 2023 French protests

in Data Science

Lynnette Hui Xian Ng
Kathleen M. Carley

Frontiers in Big Data

doi 10.3389/fdata.2023.1343108

1,513 views

Correction

Published on 11 Dec 2023

Corrigendum: Anemia detection through non-invasive analysis of lip mucosa images

in Medicine and Public Health

Shekhar Mahmud
Turker Berk Donmez
Mohammed Mansour
Mustafa Kutlu
Chris Freeman

Frontiers in Big Data

doi 10.3389/fdata.2023.1335213

1,701 views
3 citations

Original Research

Published on 30 Nov 2023

TEE-Graph: efficient privacy and ownership protection for cloud-based graph spectral analysis

in Data Mining and Management

A. K. M. Mubashwir Alam
Keke Chen

Frontiers in Big Data

doi 10.3389/fdata.2023.1296469

4,461 views

Review

Published on 23 Nov 2023

The metaverse digital environments: a scoping review of the challenges, privacy and security issues

in Cybersecurity and Privacy

Muhammad Tukur
Jens Schneider
Mowafa Househ
Ahmed Haruna Dokoro
Usman Idris Ismail
Muhammad Dawaki
Marco Agus

Frontiers in Big Data

doi 10.3389/fdata.2023.1301812

10,318 views
44 citations

Editorial

Published on 21 Nov 2023

Editorial: Are machine learning, AI, and big data tools ready to be used for sustainable development? Challenges, and limitations of current approaches

in Data Analytics for Social Impact

Elisa Omodei
Dohyung Kim
Manuel Garcia-Herranz
Vedran Sekara

Frontiers in Big Data

doi 10.3389/fdata.2023.1301903

2,769 views
3 citations

Methods

Published on 20 Nov 2023

Design of a data processing method for the farmland environmental monitoring based on improved Spark components

in Data Science

Ruipeng Tang
Narendra Kumar Aridas
Mohamad Sofian Abu Talip

Frontiers in Big Data

doi 10.3389/fdata.2023.1282352

3,100 views
2 citations

Original Research

Published on 20 Nov 2023

Real-time arrhythmia detection using convolutional neural networks

in Data Mining and Management

Thong Vu
Tyler Petty
Kemal Yakut
Muhammad Usman
Wei Xue
Francis M. Haas
Robert A. Hirsh
Xinghui Zhao

Frontiers in Big Data

doi 10.3389/fdata.2023.1270756

5,040 views
6 citations

Methods

Published on 17 Nov 2023

Fast and adaptive dynamics-on-graphs to dynamics-of-graphs translation

in Data Mining and Management

Lei Zhang
Zhiqian Chen
Chang-Tien Lu
Liang Zhao

Frontiers in Big Data

doi 10.3389/fdata.2023.1274135

2,173 views

Original Research

Published on 17 Nov 2023

Deep learning estimation of northern hemisphere soil freeze-thaw dynamics using satellite multi-frequency microwave brightness temperature observations

in Data-driven Climate Sciences

Kellen Donahue
John S. Kimball
Jinyang Du
Fredrick Bunt
Andreas Colliander
Mahta Moghaddam
Jesse Johnson
Youngwook Kim
Michael A. Rawlins

Frontiers in Big Data

doi 10.3389/fdata.2023.1243559

3,701 views
10 citations

Original Research

Published on 14 Nov 2023

Integrating geometries of ReLU feedforward neural networks

in Machine Learning and Artificial Intelligence

Yajing Liu
Turgay Caglar
Christopher Peterson
Michael Kirby

Frontiers in Big Data

doi 10.3389/fdata.2023.1274831

3,520 views
1 citation

Original Research

Published on 09 Nov 2023

Towards an understanding of global brain data governance: ethical positions that underpin global brain data governance discourse

in Data Science

Paschal Ochang
Damian Eke
Bernd Carsten Stahl

Frontiers in Big Data

doi 10.3389/fdata.2023.1240660

4,629 views
4 citations

Original Research

Published on 06 Nov 2023

A community focused approach toward making healthy and affordable daily diet recommendations

in Data Analytics for Social Impact

Joe Germino
Annalisa Szymanski
Heather A. Eicher-Miller
Ronald Metoyer
Nitesh V. Chawla

Frontiers in Big Data

doi 10.3389/fdata.2023.1086212

8,344 views
1 citation

Original Research

Published on 03 Nov 2023

impresso Text Reuse at Scale. An interface for the exploration of text reuse data in semantically enriched historical newspapers

in Data Mining and Management

Marten Düring
Matteo Romanello
Maud Ehrmann
Kaspar Beelen
Daniele Guido
Brecht Deseure
Estelle Bunout
Jana Keck
Petros Apostolopoulos

Frontiers in Big Data

doi 10.3389/fdata.2023.1249469

4,033 views
6 citations

Original Research

Published on 03 Nov 2023

Non-invasive detection of anemia using lip mucosa images transfer learning convolutional neural networks

in Medicine and Public Health

Shekhar Mahmud
Mohammed Mansour
Turker Berk Donmez
Mustafa Kutlu
Chris Freeman

Frontiers in Big Data

doi 10.3389/fdata.2023.1291329

5,944 views
10 citations

Original Research

Published on 02 Nov 2023

No longer hype, not yet mainstream? Recalibrating city digital twins' expectations and reality: a case study perspective

in Data Analytics for Social Impact

Stefano Calzati

Frontiers in Big Data

doi 10.3389/fdata.2023.1236397

4,208 views
13 citations

Original Research

Published on 31 Oct 2023

A fast parallelized DBSCAN algorithm based on OpenMp for detection of criminals on streaming services

in Cybersecurity and Privacy

Lesia Mochurad
Andrii Sydor
Oleh Ratinskiy

Frontiers in Big Data

doi 10.3389/fdata.2023.1292923

4,236 views
6 citations

Review

Published on 30 Oct 2023

Recommender systems for sustainability: overview and research issues

in Recommender Systems

Alexander Felfernig
Manfred Wundara
Thi Ngoc Trang Tran
Seda Polat-Erdeniz
Sebastian Lubos
Merfat El Mansi
Damian Garber
Viet-Man Le

Frontiers in Big Data

doi 10.3389/fdata.2023.1284511

9,339 views
43 citations

715 articles

articles

A novel approach to fake news classification using LSTM-based deep learning models

Hybridization of long short-term memory neural network in fractional time series modeling of inflation

Criminal clickbait: a panel data analysis on the attractiveness of online advertisements offering stolen data

Corrigendum: Non-invasive detection of anemia using lip mucosa images transfer learning convolutional neural networks

Corrigendum: Towards an understanding of global brain data governance: ethical positions that underpin global brain data governance discourse

Enhancing knowledge discovery from unstructured data using a deep learning approach to support subsurface modeling predictions

Beyond-accuracy: a review on diversity, serendipity, and fairness in recommender systems based on graph neural networks

Corrigendum: Do you hear the people sing? Comparison of synchronized URL and narrative themes in 2020 and 2023 French protests

Corrigendum: Anemia detection through non-invasive analysis of lip mucosa images

TEE-Graph: efficient privacy and ownership protection for cloud-based graph spectral analysis

The metaverse digital environments: a scoping review of the challenges, privacy and security issues

Editorial: Are machine learning, AI, and big data tools ready to be used for sustainable development? Challenges, and limitations of current approaches

Design of a data processing method for the farmland environmental monitoring based on improved Spark components

Real-time arrhythmia detection using convolutional neural networks

Fast and adaptive dynamics-on-graphs to dynamics-of-graphs translation

Deep learning estimation of northern hemisphere soil freeze-thaw dynamics using satellite multi-frequency microwave brightness temperature observations

Integrating geometries of ReLU feedforward neural networks

Towards an understanding of global brain data governance: ethical positions that underpin global brain data governance discourse

A community focused approach toward making healthy and affordable daily diet recommendations

impresso Text Reuse at Scale. An interface for the exploration of text reuse data in semantically enriched historical newspapers

Non-invasive detection of anemia using lip mucosa images transfer learning convolutional neural networks

No longer hype, not yet mainstream? Recalibrating city digital twins' expectations and reality: a case study perspective

A fast parallelized DBSCAN algorithm based on OpenMp for detection of criminals on streaming services

Recommender systems for sustainability: overview and research issues