Explainable AI (XAI): Core Ideas, Techniques, and Solutions

Cited by (1,002)

Items 101–200 of 1,002

1. Towards trustworthy artificial intelligence for decision-making: A lifecycle perspective on knowledge- and data-driven artificial intelligence systems
   Emiel Miedema, Sabine Waschull, Christos Emmanouilidis · 2025 · Computers in Industry
2. Advances in Bayesian networks for industrial process analytics: Bridging data and mechanisms
   Junhua Zheng, Yue Zhuo, Xiaoyu Jiang · 2025 · Expert Systems with Applications
3. Advancing malware imagery classification with explainable deep learning: A state-of-the-art approach using SHAP, LIME and Grad-CAM
   Sadia Nazim, Muhammad Mansoor Alam, Syed Safdar Rizvi, Jawahir Che Mustapha, Syed Shujaa Hussain, Mazliham Mohd Su’ud · 2025 · PLoS ONE
4. Enhancing Transparency in Smart Farming: Local Explanations for Crop Recommendations Using LIME
   Yaganteeswarudu Akkem, Saroj Kr. Biswas, Varanasi Aruna, Deeksha Tripathi · 2025 · Procedia Computer Science
5. Integrating artificial intelligence with smartphone-based imaging for cancer detection in vivo
   Bofan Song, Rongguang Liang · 2024 · Biosensors and Bioelectronics
6. Foundational AI in Insurance and Real Estate: A Survey of Applications, Challenges, and Future Directions
   Karthigeyan Kuppan, Deepak Bhaskar Acharya, B Divya · 2024 · IEEE Access
7. Navigating IoT Security: Insights into Architecture, Key Security Features, Attacks, Current Challenges and AI-Driven Solutions Shaping the Future of Connectivity
   Ali Hassan, N. Nizam‐Uddin, Asim Quddus, Syed Rizwan Hassan, Ateeq Ur Rehman, Salil Bharany · 2024 · Computers, materials & continua/Computers, materials & continua (Print)
8. SADXAI: Predicting social anxiety disorder using multiple interpretable artificial intelligence techniques
   Krishnaraj Chadaga, Srikanth Prabhu, Niranjana Sampathila, Rajagopala Chadaga, Devadas Bhat, Akhilesh Sharma, K. S. Swathi · 2024 · SLAS TECHNOLOGY
9. A tiny inertial transformer for human activity recognition via multimodal knowledge distillation and explainable AI
   Lamaakal, Ismail, Yahyati, Chaymae, Maleh, Yassine, El Makkaoui, Khalid, Ouahbi, Ibrahim, El-Latif, Ahmed A. Abd, Zomorodi, Mariam, El-Rahiem, Basma Abd · 2025 · Scientific Reports
10. Theory of AI-driven scheduling (TAIS): a service-oriented scheduling framework by integrating theory of constraints and AI
    Marzieh Khakifirooz, Mahdi Fathi, Alexandre B. Dolgui · 2024 · International Journal of Production Research
11. Image-activated cell sorting
    Tianben Ding, Kelvin C. M. Lee, Kevin K. Tsia, T. Nicolai Siegel, Dino Di Carlo, Keisuke Goda · 2025 · Nature Reviews Bioengineering
12. An attribution graph-based interpretable method for CNNs
    Xiangwei Zheng, Lifeng Zhang, Chunyan Xu, Xuanchi Chen, Zhen Cui · 2024 · Neural Networks
13. Exploring Hyper-Parameters and Feature Selection for Predicting Non-Communicable Chronic Disease Using Stacking Classifier
    Pooja Yadav, S. C. Sharma, Rajesh Mahadeva · 2023 · IEEE Access
14. Disagreement amongst counterfactual explanations: how transparency can be misleading
    Dieter Brughmans, Lissa Melis, David Martens · 2024 · Top
15. Advancing Remote Monitoring for Patients With Alzheimer Disease and Related Dementias: Systematic Review
    Mohmmad Arif Shaik, Fahim Islam Anik, Md Mehedi Hasan, Sumit Chakravarty, Mary Dioise Ramos, Mohammad Ashiqur Rahman, Sheikh Iqbal Ahamed, Nazmus Sakib · 2025 · JMIR Aging
16. Building an ethical and trustworthy biomedical AI ecosystem for the translational and clinical integration of foundation models
    Sankar, Baradwaj Simha, Gilliland, Destiny, Rincon, Jack, Hermjakob, Henning, Yan, Yu, Adam, Irsyad, Lemaster, Gwyneth, Wang, Dean, Watson, Karol, Bui, Alex et al. · 2024 · Bioengineering
17. Deciphering the adsorption mechanisms between microplastics and antibiotics: A tree-based stacking machine learning approach
    Zhiyuan Gao, Lingwei Kong, Donglin Han et al. · 2024 · Journal of Cleaner Production
18. The human factor in explainable artificial intelligence: clinician variability in trust, reliance, and performance
    Angus Nicolson, Elizabeth Bradburn, Yarin Gal, Aris T. Papageorghiou, Julia Alison Noble · 2025 · npj Digital Medicine
19. Counterfactual explanations for remaining useful life estimation within a Bayesian framework
    Jilles Andringa, Márcia Lourenço Baptista, Bruno Filipe Santos · 2025 · Information Fusion
20. Self-Supervised and Interpretable Anomaly Detection Using Network Transformers
    Daniel Marino, Chathurika S. Wickramasinghe, Craig G Rieger, Milos Manic · 2025 · IEEE Transactions on Industrial Informatics
21. Job recommender systems: a systematic literature review, applications, open issues, and challenges
    Duygu Çelik Ertuğrul, Selin Bitirim · 2025 · Journal Of Big Data
22. AccessiLearnAI: An Accessibility-First, AI-Powered E-Learning Platform for Inclusive Education
    Stelea, George Alex, Robu, Dan, Sandu, Florin · 2025 · Education Sciences
23. Ensemble-based Convolutional Neural Networks for brain tumor classification in MRI: Enhancing accuracy and interpretability using explainable AI
    Luis Sánchez-Moreno, Antonio M. Pérez-Peña, Lourdes Durán-López, Juan Pedro Dominguez-Morales · 2025 · Computers in Biology and Medicine
24. Modeling and analysis of droplet generation in microchannels using interpretable machine learning methods
    Mengqi Liu, Haoyang Hu, Yongjin Cui · 2025 · Chemical Engineering Journal
25. Navigating AI Cybersecurity: Evolving Landscape and Challenges
    Maryam Roshanaei, Mahir R. Khan, Natalie N. Sylvester · 2024 · Journal of Intelligent Learning Systems and Applications
26. Secret Use of Large Language Model (LLM)
    Zhiping Zhang, Chenxinran Shen, Bingsheng Yao, Dakuo Wang, Tianshi Li · 2025 · Proceedings of the ACM on Human-Computer Interaction
27. Object classification and visualization with edge artificial intelligence for a customized camera trap platform
    Sajid Nazir, Mohammad Kaleem · 2024 · Ecological Informatics
28. Responsible AI for Cities: A Case Study of GeoAI in African Informal Settlements
    Francesco Tonnarelli, Luca Mora · 2025 · Journal of Urban Technology
29. Machine learning-based design of target property-oriented fuels using explainable artificial intelligence
    Yong Xin Chen, Zhiyuan Lu, Heng Liu · 2024 · Energy
30. Unified Feature Engineering for Detection of Malicious Entities in Blockchain Networks
    Jeyakumar Samantha Tharani, Zhé Hóu, Eugene Yugarajah Andrew Charles · 2024 · IEEE Transactions on Information Forensics and Security
31. AdvancingTire Safety: Explainable Artificial Intelligence-Powered Foreign Object Defect Detection with Xception Networks and Grad-CAM Interpretation
    Radhwan A. A. Saleh, Farid Al-Areqi, Mehmet Zeki Konyar · 2024 · Applied Sciences
32. Bridging data and drug development: Machine learning approaches for next-generation ADMET prediction
    Ning Fan, Jing Chen, Jinghui Wang, Zhe‐Sheng Chen, Yinfeng Yang · 2025 · Drug Discovery Today
33. Evaluating the effectiveness of XAI techniques for encoder-based language models
    Melkamu Abay Mersha, Mesay Gemeda Yigezu, Jugal Kumar Kalita · 2025 · Knowledge-Based Systems
34. Machine Learning Models of the Geospatial Distribution of Groundwater Quality: A Systematic Review
    Mohammad Mehrabi, D. A. Polya, Yang Han · 2025 · Water
35. Affective foundations in AI-human interactions: Insights from evolutionary continuity and interspecies communications
    Chong-Yi Liu, Bin Yin · 2024 · Computers in Human Behavior
36. Human-in-the-loop cross-domain person re-identification
    Rita Delussu, Lorenzo Putzu, Giorgio Fumera · 2023 · Expert Systems with Applications
37. A statistical framework for evaluating the repeatability and reproducibility of large language models
    Cathy Shyr, Boyu Ren, Chih-Yuan Hsu, Chao Yan, Rory James Tinker, Thomas A. Cassini, Rizwan Hamid, Adam Wright, Lisa Bastarache, Josh F. Peterson et al. · 2025 · medRxiv
38. Interpretability Vs Explainability: The Black Box of Machine Learning
    Devottam Gaurav, Sanju Mishra Tiwari · 2023 · International Conference on Computer Science, Information Technology and Engineering (ICCoSITE)
39. Explaining Random Forest and XGBoost with Shallow Decision Trees by Co-clustering Feature Importance
    R. Pensa, A. Crombach, Sergio Peignier, Christophe Rigotti · 2025 · Machine-mediated learning
40. ExplainableDetector: Exploring transformer-based language modeling approach for SMS spam detection with explainability analysis
    Mohammad Amaz Uddin, Muhammad Nazrul Islam, Leandros A. Maglaras, Helge Janicke, Iqbal Hasan Sarker · 2025 · Digital Communications and Networks
41. Advancing chemical engineering technology with artificial intelligence
    Chuxuan Ding, Xin Gui, Jun Jiang · 2025 · Clean Energy
42. Comprehensive analysis of multiple classifiers for enhanced river water quality monitoring with explainable AI
    S. Ramya, S Srinath, Pushpa Tuppad · 2024 · Case Studies in Chemical and Environmental Engineering
43. Engineering Digital Systems for Humanity: A Research Roadmap
    Marco Autili, Martina De Sanctis, Paola Inverardi, Patrizio Pelliccione · 2025 · ACM Transactions on Software Engineering and Methodology
44. Synergy between AI and Optical Metasurfaces: A Critical Overview of Recent Advances
    Zoran Jakšić · 2024 · Photonics
45. Enhancing ML-based anomaly detection in data management for security through integration of IoT, cloud, and edge computing
    Sultan Baimukhanov, Hashim Ali, Adnan Yazıcı · 2025 · Expert Systems with Applications
46. Generative AI Meets Knowledge Management: Insights From Software Development Practices
    Kathrin Kirchner, Ettore Bolisani, Tomas Cherkos Kassaneh, Enrico Scarso, Nima Taraghi · 2025 · Knowledge and Process Management
47. Artificial Intelligence in urban design: A systematic review
    Tianchen Huang, Xinyue Ye, Tan Yiğitcanlar, Boqian Xu, Galen Newman, Bo Zhao, Benjamin Ennemoser, Dayong Jason Wu, Junghwan Kim, Dongjie Wang · 2025 · Cities
48. Mapping the Landscape of Generative AI in Network Monitoring and Management
    Giampaolo Bovenzi, Francesco Cerasuolo, Domenico Ciuonzo, Davide Di Monda, Idio Guarino, Antonio Montieri, Valerio Persico, Antonio Pescapè · 2025 · IEEE Transactions on Network and Service Management
49. The role of digital twins in P4 medicine: A paradigm for modern healthcare
    Frank Emmert‐Streib, Seppo Parkkila, Reinhard Laubenbacher, Arto Mannermaa, Leroy Hood, Olli P. Yli-Harja · 2025 · npj Digital Medicine
50. Reliability engineering, risk management, and trustworthiness assurance for AI systems
    Xiaoge Zhang, Tao Wang, Lei Ma, Sankaran Mahadevan · 2025 · Journal of Reliability Science and Engineering
51. Exploring Explainable AI Techniques for Plant Disease Classification in Digital Agriculture
    Rui Pedro Porfírio, Rui Neves Madeira, Pedro Albuquerque Santos · 2025 · Procedia Computer Science
52. Compost maturity prediction and gas emissions monitoring: A sensor-based and interpretable machine learning approach
    Amith Abdullah Khandakar, Azad Ashraf, Mohamed Arselene Ayari, Amin Esmaeili, Mohannad Aljarrah, P Rametta Michael, Md. Nahiduzzaman, Hafsa Binte Kibria, Vasiliki Maria Gerokosta, Abdul Ahad Shehbaz et al. · 2025 · Computers & Electrical Engineering
53. The pre-trained explainable deep learning model with stacked denoising autoencoders for slope stability analysis
    Shan Lin, Miao Dong, Xitailang Cao, Zenglong Liang, Hongwei Guo, Hong Zheng · 2024 · Engineering Analysis with Boundary Elements
54. From performance to structure: a comprehensive survey of advanced metasurface design for next-generation imaging
    Yunhui Zeng, Haopeng Zhong, Zhenwei Long, Hongkun Cao, Xin Jin · 2025 · npj Nanophotonics
55. How do ML practitioners perceive explainability? an interview study of practices and challenges
    Umm-e- Habiba, Mohammad Kasra Habib, Justus Bogner, Jonas Fritzsch, Stefan Wagner · 2024 · Empirical Software Engineering
56. Enhancing User Trust and Interpretability in AI-Driven Feature Request Detection for Mobile App Reviews: An Explainable Approach
    Ishaya Gambo, Rhodes Massenon, Chia‐Chen Lin, Roseline Oluwaseun Ogundokun, Saurabh Agarwal, Wooguil Pak · 2024 · IEEE Access
57. Machine Learning in Intelligent Networks: Architectures, Techniques, and Use Cases
    Elias Dritsas, Μαρία Τρίγκα · 2025 · IEEE Access
58. A Comprehensive Survey on LLM‐Based Network Management and Operations
    Jibum Hong, Nguyen Van Tu, James Won‐Ki Hong · 2025 · International Journal of Network Management
59. HealthAIoT: AIoT-driven smart healthcare system for sustainable cloud computing environments
    Han Wang, Kumar Ankur Anurag, Amira Rayane Benamer, Priyansh Arora, Gurleen Wander, Mark Richard Johnson, Ranjit Mohan Anjana, Viswanathan Mohan, Sukhpal Singh Gill, Steve Uhlig et al. · 2025 · Internet of Things
60. Staying ahead with generative artificial intelligence for learning: navigating challenges and opportunities with 5Ts and 3Rs
    Lee, Alwyn Vwen Yen · 2024 · Asia Pacific Journal of Education
61. Calibrating Reliance on Automated Advice: Transparency and Trust Calibration Feedback
    Tatasciore, Monica, Loft, Shayne · 2025 · International Journal of Human–Computer Interaction
62. Anomaly Detection and Analysis in Nuclear Power Plants
    Abhishek Chaudhary, Junseo Han, S. K. Kim, Aram Kim, Sunoh Choi · 2024 · Electronics
63. An interpretable model for stock price movement prediction based on the hierarchical belief rule base
    Xiuxian Yin, Xin Zhang, Hongyu Li, Yujia Chen, Wei He · 2023 · Heliyon
64. An embedded physical information network for blade crack detection considering dynamic multi-level credibility
    Junxian Shen, Tianchi Ma, Di Song · 2024 · Mechanical Systems and Signal Processing
65. Towards Ethical AI Moderation in Multiplayer Games
    Lucy A. Sparrow, Ren Galwey, Dahlia Jovic, Taylor Hardwick, Mahli-Ann Rakkomkaew Butt · 2024 · Proceedings of the ACM on Human-Computer Interaction
66. A Deep Learning and Explainable AI-Based Approach for the Classification of Discomycetes Species
    Aras Fahrettin Korkmaz, Fatih Ekinci, Şehmus Altaş, Eda Kumru, Mehmet Serdar Güzel, İlgaz Akata · 2025 · Biology
67. Adaptable, incremental, and explainable network intrusion detection systems for internet of things
    Francesco Cerasuolo, Giampaolo Bovenzi, Domenico Ciuonzo, Antonio Pescapè · 2025 · Engineering Applications of Artificial Intelligence
68. Agentic Satellite-Augmented Low-Altitude Economy and Terrestrial Networks: A Survey on Generative Approaches
    Xiaozheng Gao, Yichen Wang, Bosen Liu, Xiao Zhou, Ruichen Zhang, Jiacheng Wang, Dusit Tao Niyato, Dong In Kim, Abbas Jamalipour, Chau Yuen et al. · 2026 · IEEE Communications Surveys & Tutorials
69. Reactive or Proactive? How Robots Should Explain Failures
    Gregory LeMasurier, Alvika Gautam, Han Zhao, Jacob W. Crandall, Holly A. Yanco · 2024 · ACM/IEEE International Conference on Human-Robot Interaction (HRI)
70. Survival prediction landscape: an in-depth systematic literature review on activities, methods, tools, diseases, and databases
    Ahtisham Fazeel Abbasi, Muhammad Nabeel Asim, Sheraz Ahmed, Sebastian J. Vollmer, Andreas Dengel · 2024 · Frontiers in Artificial Intelligence
71. An Interpretable Generalization Mechanism for Accurately Detecting Anomaly and Identifying Networking Intrusion Techniques
    Hao-Ting Pai, Yu-Hsuan Kang, Wen-Cheng Chung · 2024 · IEEE Transactions on Information Forensics and Security
72. Shield tunneling efficiency and stability enhancement based on interpretable machine learning and multi-objective optimization
    Wenli Liu, Yang Chen, Yang Chen · 2025 · Underground Space
73. Integrating Large Language Models into Medication Management in Remote Healthcare: Current Applications, Challenges, and Future Prospects
    Ho Yan Kwan, Jethro Shell, Conor Fahy, Shengxiang Yang, Yongkang Xing · 2025 · Systems
74. A data-driven approach to identify the optimal sub-laminates for homogeneity design under the concept of double-double composites
    Cheng Qiu, Hongwei Song, Jinglei Yang · 2025 · Composites Part A Applied Science and Manufacturing
75. Explainable Clustered Federated Learning for Solar Energy Forecasting
    Syed Saqib Ali, Mazhar Ali, Dost Muhammad Saqib Bhatti, Bong Jun Choi · 2025 · Energies
76. Fusion of quantum computing and explainable AI: A comprehensive survey on transformative healthcare solutions
    Shashank Sheshar Singh, Sumit Kumar, Rohit Ahuja, Jayendra Barua · 2025 · Information Fusion
77. AI empowered 6G technologies and network layers: Recent trends, opportunities, and challenges
    Harun Ur Rashid, Seong-Ho Jeong · 2024 · Expert Systems with Applications
78. Performance of DeepSeek, Qwen 2.5 MAX, and ChatGPT Assisting in Diagnosis of Corneal Eye Diseases, Glaucoma, and Neuro-Ophthalmology Diseases Based on Clinical Case Reports
    Zain S Hussain, Mohammad Delsoz, Muhammad Elahi et al. · 2025 · medRxiv
79. Explainable Deep Fuzzy Cognitive Map Diagnosis of Coronary Artery Disease: Integrating Myocardial Perfusion Imaging, Clinical Data, and Natural Language Insights
    Anna Feleki, Ioannis D. Apostolopoulos, Serafeim Moustakidis, Elpiniki I. Papageorgiou, Nikolaos D. Papathanasiou, Dimitrios J. Apostolopoulos, Nikolaos I. Papandrianos · 2023 · Applied Sciences
80. Marine mucilage mapping with explained deep learning model using water-related spectral indices: a case study of Dardanelles Strait, Turkey
    Elif Özlem Yılmaz, Hasan Tonbul, Taşkın Kavzoğlu · 2023 · Stochastic Environmental Research and Risk Assessment
81. Intelligence frameworks for environmental pollution assessment: a review on air and water quality monitoring systems
    Alok Kumar Pati, Alok Ranjan Tripathy, Sonalika Subudhi · 2025 · Measurement
82. Open Source AI-based SE Tools: Opportunities and Challenges of Collaborative Software Learning
    Zhihao Lin, Wei Ma, Tao Lin, Yaowen Zheng, Jingquan Ge, Jun Wang, Jacques Klein, Tegawendé François Bissyandé, Yang Liu, Li Li · 2024 · ACM Transactions on Software Engineering and Methodology
83. A comparative analysis of DNN-based white-box explainable AI methods in network security
    Osvaldo Arreche, Mustafa Abdallah · 2025 · EURASIP Journal on Information Security
84. Explainable Software Defects Classification Using SMOTE and Machine Learning
    Agboeze Jude, Jia Uddin · 2024 · Annals of Emerging Technologies in Computing
85. Integrating Explainable Artificial Intelligence in Extended Reality Environments: A Systematic Survey
    Clara Maathuis, Marina Anca Cidota, Dragoş Datcu, Letiția Marin · 2025 · Mathematics
86. Machine Learning in Acoustics: A Review and Open-source Repository
    Ryan A. McCarthy, You Zhang, Samuel A. Verburg, W. Jenkins, P. Gerstoft · 2025 · npj Acoustics
87. How AI is shaping accounting and finance
    Yi Cao, Wei Zhang · 2025 · The British Accounting Review
88. Evolutionary Approaches to Explainable Machine Learning
    Ryan Zhou, Ting Hu · 2023 · Genetic and evolutionary computation
89. Explainable and Interpretable Model for the Early Detection of Brain Stroke Using Optimized Boosting Algorithms
    Yogita K. Dubey, Yashraj Tarte, Nikhil Talatule, Khushal Damahe, Prachi Palsodkar, Punit Ratnakar Fulzele · 2024 · Diagnostics
90. A machine‐learning model of academic resilience in the times of the COVID ‐19 pandemic: Evidence drawn from 79 countries/economies in the PISA 2022 mathematics study
    Kwok‐cheung Cheung, Pou‐seong Sit, Jia‐qi Zheng, Chi‐chio Lam, Soi‐kei Mak, Man‐kai Ieong · 2024 · British Journal of Educational Psychology
91. Beyond model interpretability: socio-structural explanations in machine learning
    Andrew Smart, Atoosa Kasirzadeh · 2024 · AI & Society
92. Explainable AI-driven prediction of APE1 inhibitors: enhancing cancer therapy with machine learning models and feature importance analysis
    Aga Basit Iqbal, Tariq Masoodi, Ajaz Ahmad Bhat, Muzafar Ahmad Macha, Assif Assad, Syed Zubair Ahmad Shah · 2025 · Molecular Diversity
93. Liquid Biopsy-Based Detection and Response Prediction for Depression
    Seungmin Kim, Youbin Kang, Hyunku Shin, Eun Byul Lee, Byung‐Joo Ham, Yeonho Choi · 2024 · ACS Nano
94. Multimodal LLM for enhanced Alzheimer's Disease diagnosis: Interpretable feature extraction from Mini-Mental State Examination data.
    Meiwei Zhang, Yuwei Pan, Qiu-Shi Cui, Yang Lu, Wei-Hua Yu · 2025 · Experimental Gerontology
95. LivXAI-Net: An explainable AI framework for liver disease diagnosis with IoT-based real-time monitoring support
    Deepak Kumar, Brijesh Bakariya, Chaman Verma, Zoltán Illés · 2025 · Computer Methods and Programs in Biomedicine
96. Integrating explainable artificial intelligence and light gradient boosting machine for glioma grading
    Teuku Rizky Noviandy, Ghalieb Mutig Idroes, Irsan Hardi · 2024 · Informatics and Health
97. A Sequential Metamorphic Testing Framework for Understanding Autonomous Vehicle's Decisions
    Quang-Hung Luu, Huai Liu, Tsong Yueh Chen, Hai L. Vu · 2024 · IEEE Transactions on Intelligent Vehicles
98. Interpretability Gone Bad: The Role of Bounded Rationality in How Practitioners Understand Machine Learning
    Harmanpreet Kaur, Matthew R. Conrad, Davis Rule, Cliff A.C. Lampe, Éric Gilbert · 2024 · Proceedings of the ACM on Human-Computer Interaction
99. Explainable AI for reinforcement learning based dynamic scheduling solutions in semiconductor manufacturing
    Alessandro Immordino, Patrick Stöckermann, Niels Hayen, Thomas Altenmüller, Gian Antonio Susto, Martin Gebser, Konstantin Schekotihin, Georg Seidel · 2025 · Journal of Intelligent Manufacturing
100. A Survey of AI Reliance
     Sven Eckhardt, Niklas Kühl, Mateusz Dolata, Gerhard Schwabe · 2025 · ACM Computing Surveys