:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Abhishek Thommandru, Varda Mone, Fayzulloyev Shokhijakhon, Giyosbek Mirzayev
Format:	Artículo Open Access
Published:	Wiley 2025
Subjects:	WIREs Data Mining and Knowledge Discovery
Online Access:	https://wires.onlinelibrary.wiley.com/doi/10.1002/widm.70013
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Addressing privacy concerns with wearable health monitoring technology
by: C. L. V. Sivakumar, et al.
Published: (2024)

A Privacy‐Preserving Threat Intelligence Model for Secure Healthcare Data Sharing in the Cloud
by: I. Sakthidevi, et al.
Published: (2026)

Speech Emotion Recognition Using Transfer Learning: A Comparative Study
by: Yunus Korkmaz
Published: (2026)

Advances in Feature Selection Using Memetic Algorithms: A Comprehensive Review
by: Keerthi Gabbi Reddy, et al.
Published: (2025)

Correction to “Expression of Concern: Wang, C., Zhang, Q., Liu, W., Liu, Y. & Miao, L. Facial feature discovery for ethnicity recognition. WIREs Data Mining Knowl. Discov . 9, e1278 (2019). https://doi.org/10.1002/widm.1278”
Published: (2024)

The Evolving Landscape of Modern Regression: A Systematic Review and Mapping Study of Penalized, Algorithmic, and Interpretable Models
by: Michael Bendersky, et al.
Published: (2026)

Exploring Causal Learning Through Graph Neural Networks: An In‐Depth Review
by: Simi Job, et al.
Published: (2025)

Harnessing Earth Observation and Machine Learning for Sustainable Development Goals
by: Touqeer Abbas, et al.
Published: (2025)

How AI Contributes to Poverty Alleviation: A Systematic Literature Review
by: Sepehr Ghazinoory, et al.
Published: (2025)

A State‐Of‐The‐Art Survey of Remote Photoplethysmography for Contactless Health Parameters Sensing
by: Shadman Sakib, et al.
Published: (2025)

Meta‐Heuristic Optimization for the Multi‐Classification of Chronic Disease: A Review With Machine Learning Perspectives
by: Akansha Singh, et al.
Published: (2025)

Recommender Systems: Taxonomy, Applications and Current Research Trends
by: Daniel Ranchal‐Parrado, et al.
Published: (2026)

Mapping the Landscape of Personalization: A Comprehensive Review of Prediction and Trends in Recommendation Systems
by: Tamanna Sachdeva, et al.
Published: (2025)

Federated Learning and 5G/6G‐Based Internet of Medical Things (IoMT): Applications, Key Enabling Technologies, Open Issues and Future Research Directions
by: Abdul Ahad, et al.
Published: (2026)

Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013–2023)
by: Massimo Salvi, et al.
Published: (2024)

Automated Detection of Non‐Alcoholic Fatty Liver Disease Using Histopathological Images: A Systematic Review
by: Hamed Zamanian, et al.
Published: (2025)

Optimizing Intrusion Detection for IoT: A Systematic Review of Machine Learning and Deep Learning Approaches With Feature Selection and Data Balancing
by: S. Kumar Reddy Mallidi, et al.
Published: (2025)

Exploring the Evolution of Feature Extraction Methods in Brain–Computer Interfaces (BCIs): A Systematic Review of Research Progress and Future Trends
by: Shweta Thakur, et al.
Published: (2025)

Causality and causal inference for engineers: Beyond correlation, regression, prediction and artificial intelligence
by: M. Z. Naser
Published: (2024)

Unveiling Explainable AI in Healthcare: Current Trends, Challenges, and Future Directions
by: Abdul Aziz Noor, et al.
Published: (2025)

Digital twins in healthcare: Applications, technologies, simulations, and future trends
by: Mohamed Abd Elaziz, et al.
Published: (2024)

Transforming Disaster Risk Reduction With AI and Big Data: Legal and Interdisciplinary Perspectives
by: Kwok P. Chun, et al.
Published: (2025)

Knowledge Graphs and Critical Infrastructures: Friends or Foes?
by: José Miguel Blanco, et al.
Published: (2026)

A literature review on satellite image time series forecasting: Methods and applications for remote sensing
by: Carlos Lara‐Alvarez, et al.
Published: (2024)

Issue Information
Published: (2024)

Combating Digital Deception: A Taxonomical and Systematic Review of Deepfake Detection Approaches
by: Pratishtha Gupta, et al.
Published: (2026)

Explainable AI for Hate Speech Moderation: A Stakeholder‐Centered and Sociotechnical Review
by: Muhammad Deedahwar Mazhar Qureshi, et al.
Published: (2026)

Trace Encoding Techniques for Multi‐Perspective Process Mining: A Comparative Study
by: Antonino Rullo, et al.
Published: (2024)

A Systematic Survey of Graph Convolutional Networks for Artificial Intelligence Applications
by: Amutha Sadasivan, et al.
Published: (2025)

A survey of autonomous monitoring systems in mental health
by: Abinaya Gopalakrishnan, et al.
Published: (2024)

Decoding cognitive health using machine learning: A comprehensive evaluation for diagnosis of significant memory concern
by: M. Sajid, et al.
Published: (2024)

A Systematic Literature Survey of Crowdsourcing: Current Status and Future Perspectives
by: Himanshu Suyal, et al.
Published: (2025)

Does a language model “understand” high school math? A survey of deep learning based word problem solvers
by: Sowmya S. Sundaram, et al.
Published: (2024)

Exploring Machine Learning Models for Schizophrenia Detection: A Systematic Review
by: Anushka Batte, et al.
Published: (2025)

Issue Information
Published: (2024)

A Comprehensive Survey of Deep Learning Methods in Gastro‐Intestinal Wireless Capsule Endoscopy Images
by: Sharmila Vijaya Pandian, et al.
Published: (2025)

Quantum Frontiers in the Battle for Information Integrity
by: Vincenzo Loia, et al.
Published: (2026)

Data as an Asset: Economic Traits, Market Dynamics, and Monetization Challenges
by: Petter Kvalvik, et al.
Published: (2026)

XAI ‐Guided Continual Learning: Rationale, Methods, and Future Directions
by: Michela Proietti, et al.
Published: (2025)

A Bibliometric Analysis of Process Mining
by: Seyfullah Tokumaci, et al.
Published: (2026)