Mini Review

Published on 23 Aug 2023

Universal skepticism of ChatGPT: a review of early literature on chat generative pre-trained transformer

in Machine Learning and Artificial Intelligence

Casey Watters
Michal K. Lemanski

Frontiers in Big Data

doi 10.3389/fdata.2023.1224976

4,369 views

Original Research

Published on 23 Aug 2023

Efficient community detection in multilayer networks using boolean compositions

in Big Data Networks

Abhishek Santra
Fariba Afrin Irany
Kamesh Madduri
Sharma Chakravarthy
Sanjukta Bhowmick

Frontiers in Big Data

doi 10.3389/fdata.2023.1144793

807 views

Review

Published on 17 Aug 2023

Discovering anomalies in big data: a review focused on the application of metaheuristics and machine learning techniques

in Machine Learning and Artificial Intelligence

Claudia Cavallaro
Vincenzo Cutello
Mario Pavone
Francesco Zito

Frontiers in Big Data

doi 10.3389/fdata.2023.1179625

1,408 views
1 citation

Methods

Published on 17 Aug 2023

Comorbidity network analysis using graphical models for electronic health records

in Data Mining and Management

Bo Zhao
Sarah Huepenbecker
Gen Zhu
Suja S. Rajan
Kayo Fujimoto
Xi Luo

Frontiers in Big Data

doi 10.3389/fdata.2023.846202

1,454 views

Review

Published on 15 Aug 2023

Synthetic biomedical data generation in support of In Silico Clinical Trials

in Big Data Networks

Alena Simalatsar

Frontiers in Big Data

doi 10.3389/fdata.2023.1085571

1,026 views

Original Research

Published on 10 Aug 2023

Data-to-music sonification and user engagement

in Data Science

Jonathan Middleton
Jaakko Hakulinen
Katariina Tiitinen
Juho Hella
Tuuli Keskinen
Pertti Huuskonen
Jeffrey Culver
Juhani Linna
Markku Turunen
Mounia Ziat

Frontiers in Big Data

doi 10.3389/fdata.2023.1206081

1,659 views

Mini Review

Published on 10 Aug 2023

Multi-list interfaces for recommender systems: survey and future directions

in Recommender Systems

Benedikt Loepp

Frontiers in Big Data

doi 10.3389/fdata.2023.1239705

1,188 views

Brief Research Report

Published on 08 Aug 2023

Proliferation of atmospheric datasets can hinder policy making: a data blending technique offers a solution

in Data Science

Hamish Steptoe
Theo Economou

Frontiers in Big Data

doi 10.3389/fdata.2023.1198097

620 views

Perspective

Published on 07 Aug 2023

Artificial intelligence research strategy of the United States: critical assessment and policy recommendations

in Machine Learning and Artificial Intelligence

Furkan Gursoy
Ioannis A. Kakadiaris

Frontiers in Big Data

doi 10.3389/fdata.2023.1206139

1,300 views

Original Research

Published on 04 Aug 2023

Kernel-wise difference minimization for convolutional neural network compression in metaverse

in Data Mining and Management

Yi-Ting Chang

Frontiers in Big Data

doi 10.3389/fdata.2023.1200382

469 views

Original Research

Published on 04 Aug 2023

Arrival times by Recurrent Neural Network for induced seismic events from a permanent network

in Machine Learning and Artificial Intelligence

Petr Kolar
Umair bin Waheed
Leo Eisner
Petr Matousek

Frontiers in Big Data

doi 10.3389/fdata.2023.1174478

868 views

Methods

Published on 27 Jul 2023

Leveraging extreme scale analytics, AI and digital twins for maritime digitalization: the VesselAI architecture

in Data Mining and Management

Loukas Ilias
Giannis Tsapelas
Panagiotis Kapsalis
Vasilis Michalakopoulos
Giorgos Kormpakis
Spiros Mouzakitis
Dimitris Askounis

Frontiers in Big Data

doi 10.3389/fdata.2023.1220348

859 views

Methods

Published on 24 Jul 2023

Ki-Cook: clustering multimodal cooking representations through knowledge-infused learning

in Machine Learning and Artificial Intelligence

Revathy Venkataramanan
Swati Padhee
Saini Rohan Rao
Ronak Kaoshik
Anirudh Sundara Rajan
Amit Sheth

Frontiers in Big Data

doi 10.3389/fdata.2023.1200840

874 views

Original Research

Published on 20 Jul 2023

Too much information is no information: how machine learning and feature selection could help in understanding the motor control of pointing

in Machine Learning and Artificial Intelligence

Elizabeth Thomas
Ferid Ben Ali
Arvind Tolambiya
Florian Chambellant
Jérémie Gaveau

Frontiers in Big Data

doi 10.3389/fdata.2023.921355

1,382 views
1 citation

Original Research

Published on 17 Jul 2023

Assessment of geothermal resource potential in Changbaishan utilizing high-precision gravity-based man-machine interactive inversion technology

in Data-driven Climate Sciences

Zhi-He Xu
Ji-Yi Jiang
Guan-Wen Gu
Zhen-Jun Sun
Xuan-Kai Jiao
Xing-Guo Niu
Qin Yu

Frontiers in Big Data

doi 10.3389/fdata.2023.1139918

834 views

Editorial

Published on 04 Jul 2023

Editorial: Multimodal digital approaches to personalized medicine

in Medicine and Public Health

Ieuan Clay
Valeria De Luca
Akane Sano

Frontiers in Big Data

doi 10.3389/fdata.2023.1242482

603 views

Navigation group

Articles

Universal skepticism of ChatGPT: a review of early literature on chat generative pre-trained transformer

Efficient community detection in multilayer networks using boolean compositions

Discovering anomalies in big data: a review focused on the application of metaheuristics and machine learning techniques

Comorbidity network analysis using graphical models for electronic health records

Synthetic biomedical data generation in support of In Silico Clinical Trials

Data-to-music sonification and user engagement

Multi-list interfaces for recommender systems: survey and future directions

Proliferation of atmospheric datasets can hinder policy making: a data blending technique offers a solution

Artificial intelligence research strategy of the United States: critical assessment and policy recommendations

Kernel-wise difference minimization for convolutional neural network compression in metaverse

Arrival times by Recurrent Neural Network for induced seismic events from a permanent network

Leveraging extreme scale analytics, AI and digital twins for maritime digitalization: the VesselAI architecture

Ki-Cook: clustering multimodal cooking representations through knowledge-infused learning

Too much information is no information: how machine learning and feature selection could help in understanding the motor control of pointing

Assessment of geothermal resource potential in Changbaishan utilizing high-precision gravity-based man-machine interactive inversion technology

Editorial: Multimodal digital approaches to personalized medicine