Explainable artificial intelligence: an analytical review

Cited by (844)

Items 701–800 of 844

1. Analysis of Feature Subspace and Explainability of CNNs for Classification of High Resolution Remote Sensing Images
   Krishna Gupta, Manisha Parlewar · 2025 · Communications in computer and information science
2. Explaining Model Behavior Across Space and Time: Differential and Intertemporal Explanations
   Zezhen He, Yaron Shaposhnik · 2025 · SSRN Electronic Journal
3. Revisión sistemática de las herramientas de inteligencia artificial explicable usadas en métodos de ensamble
   Fabian-Camilo Martinez-Silva, Carlos Cobos · 2024 · Revista Facultad de Ingeniería
4. Comparison of Supervised Machine Learning Algorithms for Extracting Tree Canopy Cover using High-Resolution Imagery and Google Earth Engine
   Prajwol Babu Subedi, Hamdi A. Zurqani, Michael A. Blazier, Marco A. Yáñez, Kyle Cunningham · 2025 · IEEE Conference on Technologies for Sustainability
5. A Trustworthy Decision-Making Algorithm Based on Vote Trees of Random Forest for Abdominal Aortic Aneurysm Diagnostic
   Yan Liang, Song Chen, Xin Luna Dong, Hai Liao · 2025 · International Conference on Cloud Computing and Big Data Analytics (ICCCBDA)
6. Multidimensional Talent Cultivation Method of College Art and Design Majors From the Perspective of Artificial Intelligence
   Peng Wang · 2025 · International Journal of Cognitive Informatics and Natural Intelligence
7. Enabling trust and agency in predictive glucose alerting: co-design and pilot testing of the BeaGL application in young adults living with type 1 diabetes (Preprint)
   Hari Venugopalan, Samuel King, Salvador Lopez, J.M. Kim, Grace Cheng, Tim Stewart, Sriram Magesh, Brendan Leung, Stephanie S. Crossen · 2025
8. Hybrid Rainfall Prediction: Combining Thornthwaite Method, ANN, and Model Interpretability with Lime and Shap
   H Hanumanthappa, S Bhavya, G Sri Prabha Sumana, Shreya PS, Manaswitha Reddy · 2025 · International Conference on Inventive Computing and Informatics (ICICI)
9. Computer Vision and Artificial Intelligence for Intelligence Automation Systems (IAS)
   Dharmendra Dangi, Vaibhav Suman, Amit Bhagat, Dheeraj Kumar Dixit · 2025 · Wiley eBooks
10. Dual-target candidate compounds from a transformer chemical language model contain characteristic structural features
    Sanjana Srinivasan, Alec Lamens, Jürgen Bajorath · 2025 · European Journal of Medicinal Chemistry Reports
11. Converging GeoAI and CyberGIS for Human Geography
    Fangzheng Lyu · 2025 · Springer geography
12. Safe-Uav: An Explainable AI-assisted Framework for Securing UAV Communication Networks
    Dev Mehta, Kathan Patel, Janam Patel, Rajesh Gupta, Sudeep Tanwar, Ankur Kumar Gupta, Isaac Woungang · 2024 · IEEE Globecom Workshops (GC Wkshps)
13. AADF: Decision Support to Improve Trust and Transparency with Explainable AI
    Devon L. Brown, Danda B. Rawat, Chunmei Liu · 2025 · Communications in computer and information science
14. Enhancing DER Scheduling in Active Distribution Networks: A Symbolic Deep Reinforcement Learning Approach for Improved Interpretability and Performance
    XiZhen Qiao, KangRui Qi, Xin Yi Peng, Xiao Liu, Yi Su · 2025 · IEEE International Symposium on the Application of Artificial Intelligence in Electrical Engineering (AAIEE)
15. A Deep Learning Methodology with Transformers LLM to Calculate the Global Temperature Difference in Recent Years
    Ana Carolina Borges Monteiro, Reinaldo Padilha França, Rodrigo Bonacin · 2025
16. IMAT: Uma Ferramenta para Análise de Modelos de Aprendizado de Máquina Interpretáveis
    André Assis, Jamilson Ramalho Dantas, Ermeson Andrade · 2025 · Anais do Brazilian Workshop on Social Network Analysis and Mining (BraSNAM)
17. Counterfactual Self-adaptation in Cyber-Physical Systems
    Ehsan Elahi, Matteo Camilli, Raffaela Mirandola · 2025 · Lecture notes in computer science
18. Explainability in generative AI and large language models
    Loveleen Gaur, Ajith Abraham · 2025 · Elsevier eBooks
19. Explainable Artificial Intelligence (XAI) for Enhancing Decision Making Processes in Building Industry 4.0
    C. Kishor Kumar Reddy, Siramdas Sai Jaahnavi, R. Aarti, Marlia Mohd Hanafiah · 2025 · Information systems engineering and management
20. Advanced Anfis-Based Maximum Power Point Tracking for Solar Photovoltaic Systems: A Comparative Study with Deep Learning and Real- Time Implementation
    R. I. Areola, Isola O. Mathew, Oyelade A. Omolara · 2025
21. Implementing persona in the business sector by a universal explainable AI framework based on byte-pair encoding
    Zhenyao Liu, Yu-Lun Liu, Wei‐Chang Yeh, Chia‐Ling Huang · 2025 · Computer Science and Information Systems
22. A convolutional neural network to distinguish between brain responses to non-noxious and noxious input of the same modality: what does the machine see that we do not see?
    Nickolaj Ajay Atchuthan, Mikkel Bjerre Danyar, Hjalte Færregård Clark, Felipe Rettore Andreis, Winnie Jensen, Suzan Meijs · 2025 · Research Square
23. Sign language recognition: A comparative study of traditional deep learning approaches
    Kiran Kulkarni, Manoj Ashok Wakchaure · 2025 · AIP conference proceedings
24. An Explainable Flash Flood Prediction Model in the Qinling Mountains
    Huhu Cui, Jungang Luo, Xue Yang, Ganggang Zuo, Jing Lei Xin, Guo He · 2025 · Journal of Flood Risk Management
25. Künstliche Intelligenz im Gesundheitswesen
    Alina Holle, Vanessa Hering, Markus vom Scheidt, Ulrich Arnold · 2025 · Springer eBooks
26. Landscape-scale prediction of spruce budworm-induced host mortality using machine learning
    Rindra Ranaivomanana, Mathieu Bouchard, Élise Filotas · 2025 · Research Square
27. Deep Learning Meets Explainable AI: A Robust Framework for X-Ray Fracture Detection
    Ali Tamizifar, Shakiba Berenjkoub, Mina Amiri · 2025
28. Data Analysis
    David Kaplan · 2025 · Springer eBooks
29. eXplainable AI Framework for Automated Lesson Plan Generation and Alignment with Bloom’s Taxonomy
    Deborah Olaniyan, Julius Olaniyan, Ibidun Christiana Obagbuwa, Anthony Tsetse · 2025 · Computers
30. Explaining explainable AI for healthcare: a Q-methodology study
    Sydney Howe, Daan Horbach, Lucas van Rijn, Morris Gaff, Job N. A. van Exel, Rik Wehrens · 2025 · Information Communication & Society
31. The Limitations of AI in Diagnostics
    Takanobu Hirosawa · 2025 · Springer eBooks
32. Overview of AI and Generative AI
    Takanobu Hirosawa · 2025 · Springer eBooks
33. Overview of Diagnostic Clinical Decision Support Systems
    Takanobu Hirosawa · 2025 · Springer eBooks
34. Challenges and Solutions in AI Deployment
    Takanobu Hirosawa · 2025 · Springer eBooks
35. Domain-adapted explainability for machine learning predictions of rotodynamic pump degradation in safety-critical industrial sectors
    Omnia Amin, Blair Brown, Bruce Stephen, Valerie Livina, S.D.J. McArthur · 2025 · Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy
36. A Logarithmic Decomposition and a Signed Measure Space for Entropy
    Keenan J. A. Down, Pedro A. M. Mediano · 2025 · IEEE Transactions on Information Theory
37. Large Language Models, argumentation, and healthcare
    Fabio Paglieri A · 2025 · Journal of Argumentation in Context
38. A VibV Dataset Integrating Vibration and Vision for Enhanced Safety in Self-Driving Tasks
    Yang Shen, Xinyu Zhang, Lei Yang, Zhengxian Chen, Xiaofei Zhang, Li wang, Wenhao Yu, Dan Yin, Wenhao Yu, Jun Li · 2025 · Scientific Data
39. Stakes and Understanding the Decisions of Artificial Intelligent Systems
    Eva Schmidt · 2025 · Synthese Library/Synthese library
40. Human-Centered XAI in Elderly Care: A Communication-Focused Participatory Framework
    Julia Hermann, Ayşegül Doğangün · 2025 · International Conference on Information Technology for Social Good (GoodIT)
41. The Effect of Voice-Based Artificial Intelligence Applications on Brand Loyalty: Siri’s Example
    Yakup Durmaz, Mert Aktaş, Sinan Çavuşoğlu · 2025 · Bingöl Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi
42. Explainable AI Approaches for Multivariate Family Health Prediction
    Dwi Ayu Lusia, Achmad Efendi, Adji Achmad Rinaldo Fernandes, Abela Chairunissa, Eka Dani Maulana, Tarisa Anggraini Purnomo, Vincent Osbert · 2025 · International Conference on Artificial Intelligence Technology (ICoAIT)
43. SABSE: Segmentation-Assisted Baseline Shapley Values
    Marcel Henkel, Simon Keilbach, Nadia Burkart, Arne Schumann · 2026 · Lecture notes in computer science
44. Decoding Explainable AI: A Critical Review of Emerging Techniques, Key Challenges, and Future Pathways
    Yogita Hande, Jaydeep Lokhande, Anita Shivaji Gunjal · 2026 · Lecture notes in networks and systems
45. Data-Driven Forecasting of Refugee Displacement Using Machine and Deep Learning Models with XAI
    Ibrahim Sani, Umar Hasan, Raihan Sharif, Tahfeem Islam Siam, Md Alamgir Hossain, Riasat Khan · 2025 · IEEE/ACS International Conference on Computer Systems and Applications (AICCSA)
46. Sint Multiverse: Prototype Simulator for Generating Synthetic Health Determinant Data for Explainable AI Training
    Mateus Oliveira Jung, Alice T. G. Pintanel, Regina Bärwaldt, Hélida Santos, Graçaliz Pereira Dimuro · 2026 · IEEE Access
47. XAI-Driven Deep Learning for Real-Time Wireless Sensor Failure Prediction in Healthcare
    Naima Samout, Thouraya Gouasmi, Nejah Nasri · 2025 · International Conference on Control, Decision and Information Technologies (CoDIT)
48. Algorithmic fairness in context: liberty, opportunity, and well-being as ethical anchors
    Arif Perdana, Phoebe Li, Grace Wangge · 2026 · AI and Ethics
49. Large Language Models (LLMs) in Medical Error Detection and Correction: A Comprehensive Review
    Roshan Chandru, Provia Kadusabe, Asifa Mehmood Qureshi, Shubham Sharma, Abhishek Kaushik · 2025 · Springer eBooks
50. A Multidisease Diagnostic Framework utilizing CNN
    Jasman Singh, Kanika Pahwa, Anju Arya, Sanjay Malik, Nisha Panchal · 2025 · International Conference on Image Information Processing (ICIIP)
51. Online Explainable Streaming Feature Selection and Classification via Feature Polarity
    Peng Zhou, Ji Sheng Liang, Yan Zhang, Yuanting Yan, Shu Guo Zhao, Xindong Wu · 2026 · IEEE Transactions on Artificial Intelligence
52. A framework for causal concept-based model explanations
    Anna Rodum Bjøru, Jacob Lysnæs-Larsen, Oskar Jørgensen, Inga Strümke, Helge Langseth A · 2026 · Frontiers in Artificial Intelligence
53. A Semi-supervised Ensemble Approach for Explainable AI-Driven Detection of Stress in Social Media Textual Data
    Abdur Rahman, M. Jamshed Alam Patwary · 2026 · Lecture notes in networks and systems
54. Explainable artificial intelligence for epileptic neonatal electroencephalography classification
    Faiq Ahmad Khan, Zainab Umar, Maryam Wahab, Adeel Mumtaz, Sadia Riaz, Muhammad Tariq · 2026 · Elsevier eBooks
55. Explainable Ensemble Learning Approach for Workforce Layoff Forecasting and Youth Readiness
    Prachi Palsodkar, Prasanna Palsodkar, Ankita D. Tijare, Niruta Talwekar, Shushil Sankpal, Vikas Salunkhe · 2025 · Modern Electronics Devices and Intelligent Communication Systems (MEDCOM)
56. XAI Effect on Laypeople VS Experts Perceptions of AI Outcomes - Preliminary Work
    Avital Shulner Tal, Julia Sheidin · 2026 · ACM International Conference on Intelligent User Interfaces (IUI)
57. Microservices for MLOps and XAI in IIoT
    José Cação, José Paulo Santos, Mário Antunes · 2026 · IEEE Mediterranean Electrotechnical Conference (MELECON)
58. Jumpy – Reinforce Learning about Reinforcement Learning from an AI's Point of View
    Annika Vielsack, Martina Landman, Tobias Kohn · 2026 · Australasian Computing Education Conference
59. Prediction of Educational Resource Label Association Based on Interpretable Deep Learning: Reshaping Personalized Learning
    Jing-Ru Lu, Pan Wang, Meng-Yi Fu, Hong-Lei Fu, Qi Liu, Xue‐Jiao Chen · 2025 · International Conference on Education and Multimedia Technology (ICEMT)
60. Bilgisayar Bilimleri ve Mühendisliğinde Dönüşüm: Üretken Yapay Zekâ, Güvenli Sistemler ve Ölçeklenebilir Hesaplama
    Furkan Atlan · 2026 · Özgür Yayınları eBooks
61. Interpretable Machine Learning Framework for Quality Control in Resource-Constrained Industrial Settings
    José Cação, José Paulo Santos, Mário Antunes · 2026 · Procedia Computer Science
62. Psychophysiological markers of trust in automation: insights from ERP responses in a modified flanker task
    Mallory C. Stites, Laura E. Matzen, Breannan C. Howell, Danielle S. Dickson · 2026 · Cognitive Research Principles and Implications
63. EXPLAINABLE AI FOR STUDENT PERFORMANCE ANALYSIS IN CODING PLATFORMS
    CHOWDAM CHARITHA, K CHANDRA PRASAD · 2026 · QP-AIDSE
64. Role of AI and Machine Learning in the Future of Talent Management
    A. Rahmath Nisha, A.K. Subramani, A. R. Gayathri, R. Durai Pandian · 2026 · IGI Global eBooks
65. Spatial Relational Reasoning in Machine Learning : Deep Learning and Graph Clustering
    Mateus Riva · 2022
66. La régulation juridique de l'intelligence artificielle au sein de la justice : une étude comparative entre le droit de l'Union européenne et les lois fédérales des Etats-Unis
    Siavash Shahrjerdi · 2022
67. Methodology and tooling for energy-efficient neural networks computation and optimization
    Hugo Waltsburger · 2024
68. Machine learning to understand and engineer the structural kinome
    Ivan Reveguk · 2023 · theses.fr (ABES)
69. Modelling coastal evolution with machine learning
    Mahmoud Al Najar · 2023
70. Impact of flow rate in extrusion-based bioprinting to improve printing quality
    Wei-Chih Tseng · 2025
71. Artificial intelligence and job automation: opening the “black-box” of the underlying mechanisms
    Gang Peng, Yi Jenny Zhang, Yung-Ming Li · 2026 · Information Technology and Management
72. How SISSO-derived materials genes shape materials properties: An analytical sensitivity analysis
    Lucas Foppa, Matthias Scheffler · 2026 · Physical Review Materials
73. Explainable and uncertainty-aware deep learning methods for satellite-based monitoring of nuclear power plants
    Hui-Yu Hsieh, Thabit Abuqudaira, Pavel Tsvetkov · 2026 · Annals of Nuclear Energy
74. Prediction of ladle furnace refining temperature based on machine learning algorithms
    Xinyu Zhang · 2026 · Engineering Research Express
75. AI-Driven Employee Performance Prediction in the Public Sector with GAs and SHAP Interpretability
    Tawfeeq Mohamed Alsobaey, Faisal Qaseem Alkhateeb · 2025 · International Conference on Computer and Communication Engineering
76. Efficient Romanian Email Phishing Detection Using Enhanced BERT-based Language Models
    Georgiana-Stefania Stoie, Roland Bolboacă · 2026 · Research Square
77. Fair Recourse for All: Ensuring Individual and Group Fairness in Counterfactual Explanations
    Fatima Ezzeddine, Obaida Ammar, Silvia Giordano, Omran Ayoub · 2026 · IEEE Transactions on Artificial Intelligence
78. Explainable Artificial Intelligence for Coffee Quality Control: From Coffee Origins to Aroma Intensity
    Giorgio Felizzato, Eloisa Bagnulo, Giorgia Botta, Giulia Tapparo, Chiara Emilia Irma Cordero, Luciano Navarini, Cecilia Cagliero, Erica Liberto, Andrea Caratti · 2026 · Foods
79. Fraud Unmasked: Leveraging Explainable AI for Transparent Detection Systems
    Shreya Mitra, Piuli Saha, Srinjoy Mitra, Akash Maity, Sagarika Chowdhury, T. K. CHATTERJEE · 2025 · International Conference on Emerging Trends in Electronic Devices and Computational Techniques (EDCT)
80. Privacy-Preserving Federated Learning Framework for Robust EEG-Based Epileptic Seizure Prediction
    Priya Kotagiriwar, Jagruthi Mothe, Padmavathi Vurubindi, Ravi Uyyala · 2026 · IEEE International Conference on Emerging Computing and Intelligent Technologies (ICoECIT)
81. Explainable Superintelligence NLP with Agentic AI for Transparent Policy Decision-Making in Cloud Systems
    Phani Rohitha Kaza · 2026 · IEEE International Conference on Emerging Computing and Intelligent Technologies (ICoECIT)
82. Sensorik und künstliche Intelligenz in Citizen Science
    Natalie Kille, Robert Wegener, Thorsten Kluß, Diren Senger, Carolin Johannsen, Peter Dietrich · 2026 · Springer eBooks
83. Explainable Artificial Intelligence (XAI) in IoT and WSN Security: A Systematic Review
    Khushboo Jain, Somesh Kumar, Varun Sapra, Arun Agarwal · 2026 · Archives of Computational Methods in Engineering
84. Application of machine learning to water use forecasting and water-saving scenarios in African countries
    Edwin Kipkirui, Jin Zhao, Yi Xu, Tao Wang · 2026 · Sustainable Water Resources Management
85. Human-Centered Explainable Anomaly Detection in Smart Manufacturing: Bridging AI and Human Decision-Making in Industry 5.0
    Dac Hieu Nguyen, Dac Phuong Thao Nguyen, Quang Chieu Ta, Kim Duc Tran, Kim Phuc Tran · 2025 · Springer series in reliability engineering
86. Building Explainable User Interfaces
    Tommaso Turchi, Alan John Dix, Ben Wilson, Matthew Roach, Alessio Malizia · 2026 · International Conference on Advanced Visual Interfaces (AVI)
87. DFR–HCI: A forensic-ready microservice architecture for human-to-human communication-based cybercrime detection
    Stacey Omeleze Baror, Richard A. Ikuesan, Hein S. Venter · 2026 · Forensic Science International Digital Investigation
88. Explainable Artificial Intelligence for Aviation-Related Decision Trees
    Jimmy A. Krozel, Andrei K. Krozel, Mark E. Peters, Rafal Kicinger, Bert Hackney · 2026 · AIAA AVIATION Forum
89. Theoretical Analysis of Fidelity and Interpretability Trade-Offs in Explainable Artificial Intelligence
    KavyaSri Koppanati, Akshitha Jakkula, Muhammad Zubair Khan, Belinda Copus · 2026 · IEEE International Conference on Secure IoT, Assured and Trusted Computing (SATC)
90. OralAbsPredict: A data-driven framework to predict human intestinal absorption (HIA) and human oral bioavailability (HOB) from chemical structures
    Souvik Pore, Kunal Roy · 2026 · European Journal of Medicinal Chemistry
91. A multi-source fusion and feedback-optimized intelligent agent for crop disease and pest diagnosis and treatment
    Yimin Xia, Jia Lv, Yuqing He, Fuzhong Li · 2026 · Frontiers in Plant Science
92. XAI2Brain: A Perspective on Mechanistic Interpretability for Brain–AI Alignment
    Richard Jiang, Yongchen Zhou, Boyuan Wang, Plamen Parvanov Angelov, Qiang Ni · 2026 · Machine Learning and Knowledge Extraction
93. The Rise of Generative AI in Finance: A Survey of Techniques and Studies
    Shanshan Feng, Yi Long Tan, Jordan Soh Jing Ren, Elijah Xuan Ye Yeo, Rayner Ong, Miao Xie, Jun Wang · 2026 · Memetic Computing
94. Cross-domain Feature Fusion and Bidirectional Incremental Deep Fuzzy Neural Network for Rolling Bearing RUL Prediction
    Yu Xiong, Xuesong Xu, Guanying Xu, Yandi Ai, Biao Chen · 2026 · International Symposium on Autonomous Systems (ISAS)
95. Integrative network toxicology and single-cell analysis implicates a potential TGFBR1-centered fibroblast remodeling axis in Benzo[a]pyrene-related atrial fibrillation
    Qianchen Wang, Jiejie Wu, Shaoyu Qi, Jingwen Zhang, Ying Liu · 2026 · Environment International
96. Information science for materials science
    Krishna Rajan · 2026 · Elsevier eBooks
97. AI-driven insights into phage–host dynamics: Antimicrobial stewardship in reaching the right target
    Rana Akmal, Muhammad Mubashar Beig, Muhammad Akmal, Saqib Mehmood, Hamza Rasheed · 2026 · Elsevier eBooks
98. Explainable artificial intelligence reveals divergent learning in pharmacophore-based hierarchical pooling graph neural networks
    Maria Julia Teja Urrutia, Andrea Mastropietro, Jürgen Bajorath · 2026 · Scientific Reports
99. Energy- and oxidant-efficient VUV/H2O2 polishing via surrogate-assisted reinforcement learning
    Seunghyeon Lee, Mingyu Park, Changha Lee, Kyung Hwa Cho · 2026 · Journal of Cleaner Production
100. Explainable AI for Intelligent Agents: A Hybrid Interpretable Framework
     Sudheer Reddy K., Kiran Siripuri, Santhosh Kumar C H N, Uma Maheswari, Usha Desai · 2026 · International Conference on Inventive Computing and Informatics (ICICI)