Frontiers in Big Data | Machine Learning and Artificial Intelligence

Original Research

Published on 04 Aug 2025

Basrah Score: a novel machine learning-based score for differentiating iron deficiency anemia and beta thalassemia trait using RBC indices

in Machine Learning and Artificial Intelligence

Salma A. Mahmood
Asaad A. Khalaf
Saad S. Hamadi

Frontiers in Big Data

doi 10.3389/fdata.2025.1634133

2,854 views
1 citation

Original Research

Published on 09 Jul 2025

Design and development of an efficient RLNet prediction model for deepfake video detection

in Machine Learning and Artificial Intelligence

Varad Bhandarkawthekar
T. M. Navamani
Rishabh Sharma
K. Shyamala

Frontiers in Big Data

doi 10.3389/fdata.2025.1569147

3,822 views
1 citation

Methods

Published on 25 Jun 2025

Fine-tuning or prompting on LLMs: evaluating knowledge graph construction task

in Machine Learning and Artificial Intelligence

Hussam Ghanem
Christophe Cruz

Frontiers in Big Data

doi 10.3389/fdata.2025.1505877

6,969 views

Original Research

Published on 10 Jun 2025

Deep learning based automation of mean linear intercept quantification in COPD research

in Machine Learning and Artificial Intelligence

Lars Leyendecker
Anna Louisa Weltin
Florian Nienhaus
Michaela Matthey
Bastian Nießing
Daniela Wenzel
Robert H. Schmitt

Frontiers in Big Data

doi 10.3389/fdata.2025.1461016

2,296 views

Original Research

Published on 14 May 2025

Estimation of the air conditioning energy consumption of a classroom using machine learning in a tropical climate

in Machine Learning and Artificial Intelligence

Liliana Ortega-Diaz
Julian Jaramillo-Ibarra
German Osma-Pinto

Frontiers in Big Data

doi 10.3389/fdata.2025.1520574

2,850 views

Original Research

Published on 09 Apr 2025

Machine vision model using nail images for non-invasive detection of iron deficiency anemia in university students

in Machine Learning and Artificial Intelligence

Jorge Raul Navarro-Cabrera
Miguel Angel Valles-Coral
María Elena Farro-Roque
Nelly Reátegui-Lozano
Lolita Arévalo-Fasanando

Frontiers in Big Data

doi 10.3389/fdata.2025.1557600

8,637 views
5 citations

Original Research

Published on 06 Mar 2025

(KAUH-BCMD) dataset: advancing mammographic breast cancer classification with multi-fusion preprocessing and residual depth-wise network

in Machine Learning and Artificial Intelligence

Asma'a Mohammad Al-Mnayyis
Hasan Gharaibeh
Mohammad Amin
Duha Anakreh
Hanan Fawaz Akhdar
Eman Hussein Alshdaifat
Khalid M. O. Nahar
Ahmad Nasayreh
Mohammad Gharaibeh
Neda'a Alsalman

Frontiers in Big Data

doi 10.3389/fdata.2025.1529848

6,248 views
3 citations

Original Research

Published on 23 Jan 2025

Enhancing smart home environments: a novel pattern recognition approach to ambient acoustic event detection and localization

in Machine Learning and Artificial Intelligence

Ahsan Shabbir
Abdul Haleem Butt
Taha Khan
Lorenzo Chiari
Ahmad Almadhor
Vincent Karovic

Frontiers in Big Data

doi 10.3389/fdata.2024.1419562

4,284 views
5 citations

Original Research

Published on 15 Jan 2025

Analysis and prediction of atmospheric ozone concentrations using machine learning

in Machine Learning and Artificial Intelligence

Stephan Räss
Markus C. Leuenberger

Frontiers in Big Data

doi 10.3389/fdata.2024.1469809

2,914 views

Original Research

Published on 14 Jan 2025

Prediction model of middle school student performance based on MBSO and MDBO-BP-Adaboost method

in Machine Learning and Artificial Intelligence

Rencheng Fang
Tao Zhou
Baohua Yu
Zhigang Li
Long Ma
Tao Luo
Yongcai Zhang
Xinqi Liu

Frontiers in Big Data

doi 10.3389/fdata.2024.1518939

2,322 views
2 citations

Original Research

Published on 13 Jan 2025

Multi-source data recognition and fusion algorithm based on a two-layer genetic algorithm–back propagation model

in Machine Learning and Artificial Intelligence

Zhuang Xiong
Jun Ma
Bohang Chen
Haiming Lan
Yong Niu

Frontiers in Big Data

doi 10.3389/fdata.2024.1520605

2,666 views
4 citations

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

6,562 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

8,595 views
32 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

3,099 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

2,923 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

41,860 views
15 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

3,592 views
6 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

4,980 views
1 citation

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

3,448 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

2,077 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

11,778 views
59 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

2,896 views
2 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

3,656 views
5 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

2,880 views
2 citations

93 articles

articles

Basrah Score: a novel machine learning-based score for differentiating iron deficiency anemia and beta thalassemia trait using RBC indices

Design and development of an efficient RLNet prediction model for deepfake video detection

Fine-tuning or prompting on LLMs: evaluating knowledge graph construction task

Deep learning based automation of mean linear intercept quantification in COPD research

Estimation of the air conditioning energy consumption of a classroom using machine learning in a tropical climate

Machine vision model using nail images for non-invasive detection of iron deficiency anemia in university students

(KAUH-BCMD) dataset: advancing mammographic breast cancer classification with multi-fusion preprocessing and residual depth-wise network

Enhancing smart home environments: a novel pattern recognition approach to ambient acoustic event detection and localization

Analysis and prediction of atmospheric ozone concentrations using machine learning

Prediction model of middle school student performance based on MBSO and MDBO-BP-Adaboost method

Multi-source data recognition and fusion algorithm based on a two-layer genetic algorithm–back propagation model

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