Original Research
Accepted on 07 Aug 2026
Data-Driven Adaptive Hybrid Models for Exchange Rate Return Forecasting
in Machine Learning and Artificial Intelligence
Frontiers in Big Data
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116 articles
articles
Hypothesis and Theory
Published on 05 Aug 2026
Differentiated memory and scientific cognition in AI research agents
in Machine Learning and Artificial Intelligence
Frontiers in Big Data
doi 10.3389/fdata.2026.1916523
- 355 views
Original Research
Accepted on 31 Jul 2026
A Cognitively Inspired Feature-Level Fusion Framework for Interpretable Retail Sales Forecasting using Integration of Extreme Gradient Boost Machine, Artificial Neural Network and Attention Mechanism Model
in Machine Learning and Artificial Intelligence
Frontiers in Big Data
- 156 views
Original Research
Accepted on 29 Jul 2026
Benchmarking Retrieval Augmented Generation LLMs for Arabic Noise Robustness
in Machine Learning and Artificial Intelligence
Frontiers in Big Data
- 220 views
Original Research
Accepted on 28 Jul 2026
Study of Deep Learning Cues for Cross Linguistic Part Of Speech Tagging in English– Malayalam Code-Mixed Data
in Machine Learning and Artificial Intelligence
Frontiers in Big Data
- 139 views
Original Research
Published on 16 Jul 2026
Machine learning approach for predicting the severity risk of obstructive sleep apnea syndrome
in Machine Learning and Artificial Intelligence
Frontiers in Big Data
doi 10.3389/fdata.2026.1832790
- 800 views
Original Research
Published on 09 Jul 2026
Noise-robust temporal–spectral fusion transformers for EEG-based cognitive state classification in aviation environments
in Machine Learning and Artificial Intelligence
Frontiers in Big Data
doi 10.3389/fdata.2026.1837706
- 715 views
Original Research
Published on 08 Jul 2026
Evolutionary multi-agent reinforcement learning for crisis-aware demographic policy optimization
in Machine Learning and Artificial Intelligence
Frontiers in Big Data
doi 10.3389/fdata.2026.1842233
- 935 views
Original Research
Published on 16 Jun 2026
Measuring the impact of virtualization and containerization on the environment when using GPUs for processing the AI models
in Machine Learning and Artificial Intelligence
Frontiers in Big Data
doi 10.3389/fdata.2026.1838191
- 951 views
Original Research
Published on 11 Jun 2026
Data field theory: a geometric framework for learning on Riemannian manifolds with synthetic validation and limitation analysis
in Machine Learning and Artificial Intelligence
Frontiers in Big Data
doi 10.3389/fdata.2026.1752468
- 4,601 views
Correction
Published on 10 Jun 2026
Correction: Explainable gradient convolutional vector fuzzy pattern analysis based on ensemble model for facial expression recognition
in Machine Learning and Artificial Intelligence
Frontiers in Big Data
doi 10.3389/fdata.2026.1883246
- 720 views
Original Research
Published on 09 Jun 2026
When uncertainty guides learning: a highly effective approach to kidney disease classification in CT imaging
in Machine Learning and Artificial Intelligence
Frontiers in Big Data
doi 10.3389/fdata.2026.1825213
- 1,179 views
Original Research
Published on 05 Jun 2026
TCMB: cross-model multi-level cross-attention network with Taylor-based loss for multimodal fake news detection
in Machine Learning and Artificial Intelligence
Frontiers in Big Data
doi 10.3389/fdata.2026.1796969
- 1,621 views
Systematic Review
Published on 15 May 2026
The role of statistical methods and artificial intelligence in inventory management for manufacturing industries: a systematic literature review
in Machine Learning and Artificial Intelligence
Frontiers in Big Data
doi 10.3389/fdata.2026.1799073
- 2,350 views
Original Research
Published on 12 May 2026
Cheatomaly: weakly supervised video anomaly ranking for exam cheating detection using vision transformers
in Machine Learning and Artificial Intelligence
Frontiers in Big Data
doi 10.3389/fdata.2026.1817120
- 1,420 views
Methods
Published on 11 May 2026
A longitudinal multimodal big data infrastructure for precision poultry monitoring
in Machine Learning and Artificial Intelligence
Frontiers in Big Data
doi 10.3389/fdata.2026.1821612
- 1,674 views
- 1 citation
Hypothesis and Theory
Published on 11 May 2026
Optimizing large-scale graph database ingestion through edge value ranking: a proposed framework
in Machine Learning and Artificial Intelligence
Frontiers in Big Data
doi 10.3389/fdata.2026.1768571
- 1,537 views
Original Research
Published on 08 May 2026
Explainable gradient convolutional vector fuzzy pattern analysis based on ensemble model for facial expression recognition
in Machine Learning and Artificial Intelligence
Frontiers in Big Data
doi 10.3389/fdata.2026.1807184
- 1,223 views
Original Research
Published on 08 May 2026
Detection and classification of lung cancer using sequential hybridization of CNN and RNN type architectures
in Machine Learning and Artificial Intelligence
Frontiers in Big Data
doi 10.3389/fdata.2026.1786859
- 1,289 views
Systematic Review
Published on 24 Apr 2026
The designing of a transparent hybrid machine learning framework for water leak detection: a systematic review
in Machine Learning and Artificial Intelligence
Frontiers in Big Data
doi 10.3389/fdata.2026.1761377
- 1,976 views
Original Research
Published on 17 Apr 2026
Generation of Kazakhstan's unified national testing variants using AI: a platform for automatic task creation with expert control
in Machine Learning and Artificial Intelligence
Frontiers in Big Data
doi 10.3389/fdata.2026.1772101
- 2,416 views
Original Research
Published on 23 Mar 2026
Tree-based machine learning methods for predicting vehicle insurance claim size
in Machine Learning and Artificial Intelligence
Frontiers in Big Data
doi 10.3389/fdata.2026.1778363
- 2,483 views
Original Research
Published on 13 Mar 2026
FunduScope: a human-centered, machine learning–based interactive tool for training junior ophthalmologists in diabetic retinopathy detection
in Machine Learning and Artificial Intelligence
Frontiers in Big Data
doi 10.3389/fdata.2026.1676922
- 1,308 views
- 1 citation
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
Frontiers in Big Data
doi 10.3389/fdata.2025.1651290
- 2,189 views
- 2 citations