Original Research
Accepted on 03 Apr 2026
A Blockchain-Based Framework for Malware Detection Using Behavioral Artifact Analysis
Frontiers in Big Data
731 Publications
volumes
Volume 9 - 2026
Original Research
Accepted on 02 Apr 2026
Fairness Across Domains: A Unified Fairness-aware Framework for Domain Generalization and Unsupervised Adaptation
Frontiers in Big Data
Original Research
Published on 02 Apr 2026
A disease potential-driven graph attention model for comorbidity risk prediction of hypertension
Frontiers in Big Data
doi 10.3389/fdata.2026.1814157
Hypothesis and Theory
Accepted on 30 Mar 2026
Optimizing Large-Scale Graph Database Ingestion Through Edge Value Ranking: A Proposed Framework
Frontiers in Big Data
Original Research
Accepted on 23 Mar 2026
Evaluating the impact of OMOP-CDM on data quality insight generation in respiratory disease management
Frontiers in Big Data
Original Research
Published on 23 Mar 2026
Tree-based machine learning methods for predicting vehicle insurance claim size
Frontiers in Big Data
doi 10.3389/fdata.2026.1778363
- 217 views
Original Research
Published on 17 Mar 2026
Fairer non-negative matrix factorization
Frontiers in Big Data
doi 10.3389/fdata.2026.1737043
- 136 views
Original Research
Accepted on 13 Mar 2026
Quantifying Energy and Accuracy Trade-offs of Federated Learning on Wearable Health Devices
Frontiers in Big Data
Original Research
Published on 13 Mar 2026
FunduScope: a human-centered, machine learning–based interactive tool for training junior ophthalmologists in diabetic retinopathy detection
Frontiers in Big Data
doi 10.3389/fdata.2026.1676922
- 283 views
Systematic Review
Accepted on 11 Mar 2026
The Designing of a Transparent Hybrid Machine Learning Framework for Water Leak Detection: A Systematic Review
Frontiers in Big Data
Original Research
Accepted on 11 Mar 2026
Generation of Kazakhstan's Unified National Testing variants using AI: a platform for automatic task creation with expert control
Frontiers in Big Data
Original Research
Accepted on 09 Mar 2026
A Reinforcement Learning-Guided Interpretable Method for Postoperative Sepsis Prediction with Hilbert-Schmidt Independence Criterion
Frontiers in Big Data
Original Research
Published on 09 Mar 2026
Jingdezhen ceramic culture in the digital era: a qualitative inquiry into digital dissemination and platform innovation
Frontiers in Big Data
doi 10.3389/fdata.2026.1752142
- 222 views
Original Research
Accepted on 27 Feb 2026
TCMB: Cross-Model Multi-Level Cross-Attention Network with Taylor-Based Loss for multimodal Fake News Detection
Frontiers in Big Data
Original Research
Accepted on 27 Feb 2026
Beyond Performance Metrics: Demonstrating Generative AI's Unique Value Propositions in Cybersecurity Threat Detection through Hybrid Pipeline Integration
Frontiers in Big Data
Perspective
Accepted on 27 Feb 2026
Strategic Cyber Intelligence with Advanced Analytics in Latin America: A Perspective
Frontiers in Big Data
Original Research
Published on 27 Feb 2026
GFTrans: an on-the-fly static analysis framework for code performance profiling
Frontiers in Big Data
doi 10.3389/fdata.2026.1779935
- 271 views
Original Research
Published on 27 Feb 2026
Spatiotemporal deep learning framework for predictive behavioral threat detection in surveillance footage
Frontiers in Big Data
doi 10.3389/fdata.2026.1770989
- 392 views
Original Research
Published on 09 Feb 2026
Federated learning for teacher data privacy protection: a study in the context of the PIPL
Frontiers in Big Data
doi 10.3389/fdata.2026.1681382
- 705 views
- 1 citation
Original Research
Published on 09 Feb 2026
A genetic algorithm-based framework for online sparse feature selection in data streams
Frontiers in Big Data
doi 10.3389/fdata.2026.1782461
- 631 views
Original Research
Published on 05 Feb 2026
Dynamic transfer learning with co-occurrence-guided multi-source fusion for urban spatio-temporal crime prediction
Frontiers in Big Data
doi 10.3389/fdata.2026.1697392
- 499 views
Original Research
Published on 04 Feb 2026
Modeling household adoption of IoT-based home security in Dhaka: a PLS–machine learning framework
Frontiers in Big Data
doi 10.3389/fdata.2026.1718710
- 624 views
Volume 8 - 2025
Original Research
Published on 01 Apr 2026
Toward robust social media sentiment for SMEs: a comparative study of dictionary-based and machine learning approaches with insights for hybrid methodologies
Frontiers in Big Data
doi 10.3389/fdata.2025.1594374
- 596 views
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
Frontiers in Big Data
doi 10.3389/fdata.2025.1651290
- 618 views