Frontiers in Big Data | Machine Learning and Artificial Intelligence

Methods

Published on 07 Jan 2025

Constructing a metadata knowledge graph as an atlas for demystifying AI pipeline optimization

in Machine Learning and Artificial Intelligence

Revathy Venkataramanan
Aalap Tripathy
Tarun Kumar
Sergey Serebryakov
Annmary Justine
Arpit Shah
Suparna Bhattacharya
Martin Foltin
Paolo Faraboschi
Kaushik Roy

Frontiers in Big Data

doi 10.3389/fdata.2024.1476506

7,580 views
5 citations

Review

Published on 29 Nov 2024

Establishing and evaluating trustworthy AI: overview and research challenges

in Machine Learning and Artificial Intelligence

Dominik Kowald
Sebastian Scher
Viktoria Pammer-Schindler
Peter Müllner
Kerstin Waxnegger
Lea Demelius
Angela Fessl
Maximilian Toller
Inti Gabriel Mendoza Estrada
Ilija Šimić

Frontiers in Big Data

doi 10.3389/fdata.2024.1467222

10,757 views
41 citations

Original Research

Published on 20 Nov 2024

Credibility-based knowledge graph embedding for identifying social brand advocates

in Machine Learning and Artificial Intelligence

Bilal Abu-Salih
Salihah Alotaibi
Manaf Al-Okaily
Mohammed Aljaafari
Muder Almiani

Frontiers in Big Data

doi 10.3389/fdata.2024.1469819

3,607 views
1 citation

Original Research

Published on 15 Nov 2024

Camera-view supervision for bird's-eye-view semantic segmentation

in Machine Learning and Artificial Intelligence

Bowen Yang
LinLin Yu
Feng Chen

Frontiers in Big Data

doi 10.3389/fdata.2024.1431346

3,466 views

Conceptual Analysis

Published on 01 Nov 2024

Cognitive warfare: a conceptual analysis of the NATO ACT cognitive warfare exploratory concept

in Machine Learning and Artificial Intelligence

Christoph Deppe
Gary S. Schaal

Frontiers in Big Data

doi 10.3389/fdata.2024.1452129

51,172 views
23 citations

Original Research

Published on 03 Oct 2024

Machine learning-based remission prediction in rheumatoid arthritis patients treated with biologic disease-modifying anti-rheumatic drugs: findings from the Kuwait rheumatic disease registry

in Machine Learning and Artificial Intelligence

Ahmad R. Alsaber
Adeeba Al-Herz
Balqees Alawadhi
Iyad Abu Doush
Parul Setiya
Ahmad T. AL-Sultan
Khulood Saleh
Adel Al-Awadhi
Eman Hasan
Waleed Al-Kandari

Frontiers in Big Data

doi 10.3389/fdata.2024.1406365

4,208 views
11 citations

Original Research

Published on 13 Sep 2024

Navigating pathways to automated personality prediction: a comparative study of small and medium language models

in Machine Learning and Artificial Intelligence

Fatima Habib
Zeeshan Ali
Akbar Azam
Komal Kamran
Fahad Mansoor Pasha

Frontiers in Big Data

doi 10.3389/fdata.2024.1387325

5,588 views
3 citations

Original Research

Published on 29 Aug 2024

Sparse and Expandable Network for Google's Pathways

in Machine Learning and Artificial Intelligence

Charles X. Ling
Ganyu Wang
Boyu Wang

Frontiers in Big Data

doi 10.3389/fdata.2024.1348030

3,854 views

Original Research

Published on 02 Jul 2024

Efficient enhancement of low-rank tensor completion via thin QR decomposition

in Machine Learning and Artificial Intelligence

Yan Wu
Yunzhi Jin

Frontiers in Big Data

doi 10.3389/fdata.2024.1382144

2,305 views

Original Research

Published on 01 Jul 2024

Random kernel k-nearest neighbors regression

in Machine Learning and Artificial Intelligence

Patchanok Srisuradetchai
Korn Suksrikran

Frontiers in Big Data

doi 10.3389/fdata.2024.1402384

13,099 views
76 citations

Methods

Published on 18 Jun 2024

Source-free domain adaptation for semantic image segmentation using internal representations

in Machine Learning and Artificial Intelligence

Serban Stan
Mohammad Rostami

Frontiers in Big Data

doi 10.3389/fdata.2024.1359317

3,365 views
4 citations

Original Research

Published on 14 Jun 2024

An encoding framework for binarized images using hyperdimensional computing

in Machine Learning and Artificial Intelligence

Laura Smets
Werner Van Leekwijck
Ing Jyh Tsang
Steven Latré

Frontiers in Big Data

doi 10.3389/fdata.2024.1371518

4,450 views
8 citations

Methods

Published on 05 Jun 2024

Unilateral boundary time series forecasting

in Machine Learning and Artificial Intelligence

Chao-Min Chang
Cheng-Te Li
Shou-De Lin

Frontiers in Big Data

doi 10.3389/fdata.2024.1376023

3,624 views
4 citations

Original Research

Published on 09 May 2024

Forecasting cryptocurrency's buy signal with a bagged tree learning approach to enhance purchase decisions

in Machine Learning and Artificial Intelligence

Raed Alsini
Qasem Abu Al-Haija
Abdulaziz A. Alsulami
Badraddin Alturki
Abdulaziz A. Alqurashi
Mouhamad D. Mashat
Ali Alqahtani
Nawaf Alhebaishi

Frontiers in Big Data

doi 10.3389/fdata.2024.1369895

8,725 views
5 citations

Original Research

Published on 08 Apr 2024

Acupuncture and tuina knowledge graph with prompt learning

in Machine Learning and Artificial Intelligence

Xiaoran Li
Xiaosong Han
Siqing Wei
Yanchun Liang
Renchu Guan

Frontiers in Big Data

doi 10.3389/fdata.2024.1346958

4,903 views
4 citations

Original Research

Published on 22 Mar 2024

Enhancing cancer stage prediction through hybrid deep neural networks: a comparative study

in Machine Learning and Artificial Intelligence

Alina Amanzholova
Aysun Coşkun

Frontiers in Big Data

doi 10.3389/fdata.2024.1359703

4,940 views
7 citations

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

13,674 views
52 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

3,919 views
1 citation

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

16,814 views
48 citations

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

7,352 views
12 citations

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

8,550 views
14 citations

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

3,869 views
3 citations

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

3,651 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

3,705 views
6 citations

106 articles

articles

Constructing a metadata knowledge graph as an atlas for demystifying AI pipeline optimization

Establishing and evaluating trustworthy AI: overview and research challenges

Credibility-based knowledge graph embedding for identifying social brand advocates

Camera-view supervision for bird's-eye-view semantic segmentation

Cognitive warfare: a conceptual analysis of the NATO ACT cognitive warfare exploratory concept

Machine learning-based remission prediction in rheumatoid arthritis patients treated with biologic disease-modifying anti-rheumatic drugs: findings from the Kuwait rheumatic disease registry

Navigating pathways to automated personality prediction: a comparative study of small and medium language models

Sparse and Expandable Network for Google's Pathways

Efficient enhancement of low-rank tensor completion via thin QR decomposition

Random kernel k-nearest neighbors regression

Source-free domain adaptation for semantic image segmentation using internal representations

An encoding framework for binarized images using hyperdimensional computing

Unilateral boundary time series forecasting

Forecasting cryptocurrency's buy signal with a bagged tree learning approach to enhance purchase decisions

Acupuncture and tuina knowledge graph with prompt learning

Enhancing cancer stage prediction through hybrid deep neural networks: a comparative study

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

Integrating geometries of ReLU feedforward neural networks

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

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

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

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

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