Frontiers in Big Data | Machine Learning and Artificial Intelligence

Original Research

Published on 04 Feb 2026

Depression detection through dual-stream modeling with large language models: a fusion-based transfer learning framework integrating BERT and T5 representations

in Machine Learning and Artificial Intelligence

Na Wang
Weijia Zhang
Raja Kamil
Ian Renner
Syed Abdul Rahman Al-Haddad
Normala Ibrahim
Zhen Zhao

Frontiers in Big Data

doi 10.3389/fdata.2025.1651290

468 views

Original Research

Published on 04 Feb 2026

Modeling household adoption of IoT-based home security in Dhaka: a PLS–machine learning framework

in Machine Learning and Artificial Intelligence

Arif Mahmud
Ashikur Rahman
Fahmid Al Farid
Jia Uddin
Hezerul Bin Abdul Karim

Frontiers in Big Data

doi 10.3389/fdata.2026.1718710

455 views

Original Research

Published on 04 Feb 2026

Algorithmic recourse in sequential decision-making for long-term fairness

in Machine Learning and Artificial Intelligence

Francisco Gumucio
Lu Zhang

Frontiers in Big Data

doi 10.3389/fdata.2026.1750906

421 views

Original Research

Accepted on 02 Feb 2026

FunduScope: A Human-Centered, Machine Learning–Based Interactive Tool for Training Junior Ophthalmologists in Diabetic Retinopathy Detection

in Machine Learning and Artificial Intelligence

Sara-Jane Bittner
Michael Barz
Daniel Sonntag

Frontiers in Big Data

111 views

Original Research

Published on 12 Jan 2026

Explainable attrition risk scoring for managerial retention decisions in human resource analytics

in Machine Learning and Artificial Intelligence

M. S. Pavithran
S. M. Vadivel

Frontiers in Big Data

doi 10.3389/fdata.2025.1699561

1,462 views

Original Research

Published on 09 Jan 2026

Decoding deception: state-of-the-art approaches to deep fake detection

in Machine Learning and Artificial Intelligence

Tarak Hussain
B. Tirapathi Reddy
Kondaveti Phanindra
Sailaja Terumalasetti
Ghufran Ahmad Khan

Frontiers in Big Data

doi 10.3389/fdata.2025.1670833

2,127 views

Review

Published on 08 Jan 2026

Bias in AI systems: integrating formal and socio-technical approaches

in Machine Learning and Artificial Intelligence

Amar Ahmad
Yvonne Vallès
Youssef Idaghdour

Frontiers in Big Data

doi 10.3389/fdata.2025.1686452

2,001 views

Original Research

Published on 06 Jan 2026

Hybrid deep learning models for fake news detection: case study on Arabic and English languages

in Machine Learning and Artificial Intelligence

Baqer M. Merzah
Jafar Razmara
Zolfaghar Salmanian

Frontiers in Big Data

doi 10.3389/fdata.2025.1683786

2,394 views

Original Research

Published on 05 Jan 2026

Adaptive model for rate of penetration prediction based on the dynamic correlation of influencing factors

in Machine Learning and Artificial Intelligence

Yonggang Deng
Xiaojing Zhou
Zixuan Feng
Xin Li
Hui Li

Frontiers in Big Data

doi 10.3389/fdata.2025.1676054

626 views

Original Research

Published on 11 Dec 2025

Posterior averaging with Gaussian naive Bayes and the R package RandomGaussianNB for big-data classification

in Machine Learning and Artificial Intelligence

Patchanok Srisuradetchai

Frontiers in Big Data

doi 10.3389/fdata.2025.1706417

950 views

Brief Research Report

Published on 02 Dec 2025

Parameter-efficient fine-tuning for low-resource text classification: a comparative study of LoRA, IA3, and ReFT

in Machine Learning and Artificial Intelligence

Steve Nwaiwu

Frontiers in Big Data

doi 10.3389/fdata.2025.1677331

2,270 views

Original Research

Published on 27 Nov 2025

Adaptive deep Q-networks for accurate electric vehicle range estimation

in Machine Learning and Artificial Intelligence

Urvashi Khekare
Rajay Vedaraj I. S.

Frontiers in Big Data

doi 10.3389/fdata.2025.1697478

1,121 views

Original Research

Published on 20 Nov 2025

Intelligent leak monitoring of oil pipeline based on distributed temperature and vibration fiber signals

in Machine Learning and Artificial Intelligence

Xiaobin Liang
Yonghong Deng
Yibin Wang
Hongtao Li
Weifeng Ma
Ke Wang
Junjie Ren
Ruijiao Ma
Shuai Zhang
Jiawei Liu

Frontiers in Big Data

doi 10.3389/fdata.2025.1667284

1,042 views

Original Research

Published on 19 Nov 2025

Enhanced SQL injection detection using chi-square feature selection and machine learning classifiers

in Machine Learning and Artificial Intelligence

Emanuel Casmiry
Neema Mduma
Ramadhani Sinde

Frontiers in Big Data

doi 10.3389/fdata.2025.1686479

2,590 views
1 citation

Original Research

Published on 14 Nov 2025

Enhancing Bangla handwritten character recognition using Vision Transformers, VGG-16, and ResNet-50: a performance analysis

in Machine Learning and Artificial Intelligence

A. H. M. Shahariar Parvez
Md. Samiul Islam
Fahmid Al Farid
Tashida Yeasmin
Md. Monirul Islam
Md. Shafiul Azam
Jia Uddin
Hezerul Abdul Karim

Frontiers in Big Data

doi 10.3389/fdata.2025.1682984

1,880 views

Original Research

Published on 12 Nov 2025

LLM-supported collaborative ontology design for data and knowledge management platforms

in Machine Learning and Artificial Intelligence

Janis Kampars
Guntis Mosans
Tushar Jogi
Franz Roters
Napat Vajragupta

Frontiers in Big Data

doi 10.3389/fdata.2025.1676477

2,419 views

Original Research

Published on 10 Nov 2025

PHTFNet-RPM: a probabilistic hybrid network with RPM for tobacco root disease forecasting

in Machine Learning and Artificial Intelligence

Yunhong Bu
Tingshan Yao
Shaowu Geng
Renjie Huang

Frontiers in Big Data

doi 10.3389/fdata.2025.1705587

802 views

Original Research

Published on 24 Oct 2025

Finding the needle in the haystack—An interpretable sequential pattern mining method for classification problems

in Machine Learning and Artificial Intelligence

Alexander Grote
Anuja Hariharan
Christof Weinhardt

Frontiers in Big Data

doi 10.3389/fdata.2025.1604887

2,017 views

Methods

Published on 20 Oct 2025

Study on coal and gas outburst prediction technology based on multi-model fusion

in Machine Learning and Artificial Intelligence

Qian Xie
Junsheng Yan
Zhenhua Dai
Wengang Du
Xuefei Wu

Frontiers in Big Data

doi 10.3389/fdata.2025.1623883

1,755 views

Original Research

Published on 17 Oct 2025

Analyzing student mental health with RoBERTa-Large: a sentiment analysis and data analytics approach

in Machine Learning and Artificial Intelligence

Hikmat Ullah Khan
Anam Naz
Fawaz Khaled Alarfaj
Naif Almusallam

Frontiers in Big Data

doi 10.3389/fdata.2025.1615788

3,739 views

Conceptual Analysis

Published on 13 Oct 2025

AI biases as asymmetries: a review to guide practice

in Machine Learning and Artificial Intelligence

Gabriella Waters
Phillip Honenberger

Frontiers in Big Data

doi 10.3389/fdata.2025.1532397

2,254 views
1 citation

Original Research

Published on 06 Oct 2025

Predicting deep vein thrombosis using machine learning and blood routine analysis

in Machine Learning and Artificial Intelligence

Jie Su
Yuechao Tang
Yanan Wang
Chao Chen
Biao Song

Frontiers in Big Data

doi 10.3389/fdata.2025.1605258

3,156 views

Original Research

Published on 22 Sep 2025

ULBERT: a domain-adapted BERT model for bilingual information retrieval from Pakistan's constitution

in Machine Learning and Artificial Intelligence

Qaiser Abbas
Waqas Nawaz
Sadia Niazi
Muhammad Awais

Frontiers in Big Data

doi 10.3389/fdata.2025.1448785

3,552 views

Original Research

Published on 13 Aug 2025

Automated road surface classification in OpenStreetMap using MaskCNN and aerial imagery

in Machine Learning and Artificial Intelligence

R. Parvathi
V. Pattabiraman
Nancy Saxena
Aakarsh Mishra
Utkarsh Mishra
Ansh Pandey

Frontiers in Big Data

doi 10.3389/fdata.2025.1657320

2,954 views
1 citation

94 articles

articles

Depression detection through dual-stream modeling with large language models: a fusion-based transfer learning framework integrating BERT and T5 representations

Modeling household adoption of IoT-based home security in Dhaka: a PLS–machine learning framework

Algorithmic recourse in sequential decision-making for long-term fairness

FunduScope: A Human-Centered, Machine Learning–Based Interactive Tool for Training Junior Ophthalmologists in Diabetic Retinopathy Detection

Explainable attrition risk scoring for managerial retention decisions in human resource analytics

Decoding deception: state-of-the-art approaches to deep fake detection

Bias in AI systems: integrating formal and socio-technical approaches

Hybrid deep learning models for fake news detection: case study on Arabic and English languages

Adaptive model for rate of penetration prediction based on the dynamic correlation of influencing factors

Posterior averaging with Gaussian naive Bayes and the R package RandomGaussianNB for big-data classification

Parameter-efficient fine-tuning for low-resource text classification: a comparative study of LoRA, IA3, and ReFT

Adaptive deep Q-networks for accurate electric vehicle range estimation

Intelligent leak monitoring of oil pipeline based on distributed temperature and vibration fiber signals

Enhanced SQL injection detection using chi-square feature selection and machine learning classifiers

Enhancing Bangla handwritten character recognition using Vision Transformers, VGG-16, and ResNet-50: a performance analysis

LLM-supported collaborative ontology design for data and knowledge management platforms

PHTFNet-RPM: a probabilistic hybrid network with RPM for tobacco root disease forecasting

Finding the needle in the haystack—An interpretable sequential pattern mining method for classification problems

Study on coal and gas outburst prediction technology based on multi-model fusion

Analyzing student mental health with RoBERTa-Large: a sentiment analysis and data analytics approach

AI biases as asymmetries: a review to guide practice

Predicting deep vein thrombosis using machine learning and blood routine analysis

ULBERT: a domain-adapted BERT model for bilingual information retrieval from Pakistan's constitution

Automated road surface classification in OpenStreetMap using MaskCNN and aerial imagery