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

Cited by (1,002)

Items 301–400 of 1,002

1. Evaluating AI-driven credit scoring models versus traditional statistical techniques
   Dipak Santram Vakrani, Pradip Sanatkumar Padhye, Sushil Kumar Gupta, Jewel Kumar Roy, Varsha Shriram Nerlekar, Neha Parashar · 2025 · Discover Artificial Intelligence
2. Integrating AI into ADHD Therapy: Insights from ChatGPT-4o and Robotic Assistants
   Jonnathan Berrezueta-Guzmán, Mohanad Kandil, Stefan Wagner · 2025 · Human-Centric Intelligent Systems
3. AI4Bangladesh: AI Ethics for Bangladesh - Challenges, Risks, Principles, and Suggestions
   Tasmiah Tahsin Mayeesha, Farzana Islam, Nova Ahmed · 2024 · International Conference on Information and Communication Technologies and Development (ICTD)
4. Virtual Safety Engineer: From Hazard Identification to Risk Control in the Age of AI
   Mohammad Yazdi, Sidum Adumene, Daniel Tamunodukobipi · 2025 · Studies in systems, decision and control
5. A causality-based explainable AI method for bus delay propagation analysis
   Qi Zhang, Zhen-Liang Ma, Zhi-Ye Cui · 2025 · Communications in Transportation Research
6. From data to insights: Using gradient boosting classifier to optimize student engagement in online classes with explainable AI
   Muhammad Kamal Hossen, Mohammad Shorif Uddin · 2025 · Education and Information Technologies
7. Images of AI: How AI practitioners view the impact of Artificial Intelligence on society, now and in the future
   Simone V. Spiegler, Rashina Hoda, Aastha Pant · 2025 · Technology in Society
8. Exploring digital twin interfaces for occupant-building interaction to enhance personal comfort and energy efficiency
   Kate Sangwon Lee, Iqbal Shah, Connor Aucremanne · 2025 · Energy and Built Environment
9. Machine learning applications in climate finance: An overview
   Yingjie Tian, Haonan Wen, Kun Guo · 2025 · Research in International Business and Finance
10. CD-Tron: Leveraging Large Clinical Language Model for Early Detection of Cognitive Decline from Electronic Health Records
    Hao Guan, John Novoa-Laurentiev, Li Zhou · 2024 · Journal of Biomedical Informatics
11. Explainable Vertical Federated Learning for Healthcare: Ensuring Privacy and Optimal Accuracy
    Shahnewaz Karim Sakib, Anindya Bijoy Das · 2024 · IEEE International Conference on Big Data (BigData)
12. Trustworthy Artificial Intelligence Framework for Proactive Detection and Risk Explanation of Cyber Attacks in Smart Grid
    Md. Shirajum Munir, Sachin S. Shetty, Danda B. Rawat · 2023 · Winter Simulation Conference
13. 2025 photonics for agrifood roadmap: towards a sustainable and healthier planet
    Lien Smeesters, Francesca Venturini, Stefan Paulus, Anne‐Katrin Mahlein, David Perpetuini, Daniela Cardone, Arcangelo Merla, Benjamin Gac, Stéphane Perrin, Denis Trégoat et al. · 2025 · Journal of Physics Photonics
14. Analyzing anomalies in industrial networks: A data-driven approach to enhance security in manufacturing processes
    Karel Kuchař, Radek Fujdiak · 2025 · Computers & Security
15. How robust are ensemble machine learning explanations?
    Maria Carla Calzarossa, Paolo Giudici, Rasha Zieni · 2025 · Neurocomputing
16. A clinician's guide to large language models
    Giovanni Briganti · 2023 · Future Medicine AI
17. Non-linear responses of ecosystem service trade-offs to landscape heterogeneity: implications for spatially targeted landscape management in an urbanizing agricultural basin
    Jiman Li, Henghui Xi, Fei Wang · 2026 · Landscape and Urban Planning
18. A new probability forecasting model for cotton yarn futures price volatility with explainable AI and big data
    Huosong Xia, Xiaoyu Hou, Zuopeng Zhang, Mohammad Zoynul Abedin · 2024 · Journal of Forecasting
19. Recent Progress in Wearable Bioelectronics for Theranostics and Perspectives with Artificial Intelligence
    Xuting Chen, Huiwen Xiong, Junsheng Chen, Jilie Kong, Yongjun Zhang, Xueen Fang · 2025 · ACS Applied Materials & Interfaces
20. CT4ALL: Towards Putting Teachers in the Loop to Advance Automated Computational Thinking Metric Assessments in Game-Based Learning
    Giovanni Maria Troiano, Michael F. Cassidy, Daniel Escobar Morales, Guillermo Pons-Castro, Amir Abdollahi, Gregório Robles, Gillian M. Puttick, Casper Harteveld · 2025 · CHI Conference on Human Factors in Computing Systems
21. IMPACT: an interactive multi-disease prevention and counterfactual treatment system using explainable AI and a multimodal LLM
    Prasant Kumar Mohanty, Sharmila Anand John Francis, Rabindra Kumar Barik, K. Hemant Kumar Reddy, Diptendu Sinha Roy, Manob Jyoti Saikia · 2025 · PeerJ Computer Science
22. Artificial intelligence for the colorectal surgeon in 2024 – A narrative review of Prevalence, Policies, and (needed) Protections
    Kurt S. Schultz, Michelle L Hughes, Warqaa Akram, Anne K. Mongiu · 2024 · Seminars in Colon and Rectal Surgery
23. EEG Data Classification: Review and Taxonomy
    Asma Belhadi, Anis Yazidi, Pedro G. Lind, Youcef Djenouri · 2025 · ACM Transactions on Computing for Healthcare
24. An Explainable AI Framework for Dynamic Resource Management in Vehicular Network Slicing
    Haochen Sun, Yifan Liu, Ahmed Al-Tahmeesschi · 2025 · IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
25. HealthEdgeAI: GAI and XAI Based Healthcare System for Sustainable Edge AI and Cloud Computing Environments
    Han Wang, Balaji Muthurathinam Panneer Chelvan, Muhammed Golec, Sukhpal Singh Gill, Steve Uhlig · 2025 · Concurrency and Computation Practice and Experience
26. A User-Centric Context-Aware Framework for Real-Time Optimisation of Multimedia Data Privacy Protection, and Information Retention Within Multimodal AI Systems
    Ndricim Topalli, Atta Badii · 2025 · Sensors
27. Keeping Pilots in the Loop: An Explainable Spatiotemporal EEG-Driven Deep Learning Framework for Adaptive Automation in Cruising Flight Phase
    Cho Yin Yiu, Kam K.H. Ng, Qinbiao Li, 信生 中原 · 2025 · IEEE Transactions on Intelligent Transportation Systems
28. Exploring Explainability in Multi-Category Electronic Markets: A Comparison of Machine Learning and Deep Learning Approaches
    Suleiman Adamu, Aamo Iorliam, Özcan Asilkan · 2025 · Journal of Future Artificial Intelligence and Technologies
29. A Comprehensive Survey on Intrusion Detection Systems for Healthcare 5.0: Concepts, Challenges, and Practical Applications
    Lucas P. Siqueira, Cássio Luís Batista, Pedro H. Lui, Juliano F. Kazienko, Silvio E. Quincozes, Vagner E. Quincozes, Daniel Welfer, Shigueo Nomura · 2025 · Sensors
30. Understand your decision rather than your model prescription: Towards explainable deep learning approaches for commodity procurement
    Moritz Rettinger, Stefan Minner, Jenny Birzl · 2024 · Computers & Operations Research
31. A cyber-resilient and explainable intrusion detection system for Internet of Things networks
    Muhammad Bilal, Rongfei Zeng, Owais Muhammad · 2025 · Cluster Computing
32. Explainability in action: A metric-driven assessment of local explanations for healthcare tabular models
    M. Atif Qureshi, M. Atif Qureshi, Abdul Aziz Noor · 2025 · medRxiv
33. Explainability Elevated Obstructive Pulmonary Disease Care: Severity Classification, Quality of Life Prediction, and Treatment Impact Assessment
    Md. Tanvir Ahmed Shaikat, Safiul Haque Chowdhury, Md. Shovon · 2025 · International Conference on Electrical, Computer and Communication Engineering
34. Beetle‐Optimized Hybrid Ensemble for Multi‐Attack Classification in VANETs
    G. SaravanaKumar, Ponugoti Kalpana, G. Vishnu Murthy, Thippa Reddy Gadekallu, Amina Salhi, Mohammad Tabrez Quasim · 2025 · Transactions on Emerging Telecommunications Technologies
35. Deep-Learning and Dynamic Time Warping-Based Approaches for the Diagnosis of Reactor Systems
    H. Y. Jeong, Jihyun Kim, Doyun Jung, Jang-Woo Kwon · 2024 · Sensors
36. A requirements model for AI algorithms in functional safety-critical systems with an explainable self-enforcing network from a developer perspective
    Klüver, Christina, Greisbach, Anneliesa, Kindermann, Michael, Püttmann, Bernd · 2024 · Security and Safety
37. Urban tree failure probability prediction based on dendrometric aspects and machine learning models
    Danilo Samuel Jodas, Sérgio Brazolin, Giuliana Del Nero Velasco · 2024 · Computers Environment and Urban Systems
38. Explainable Artificial Intelligence: A Survey of the Need, Techniques, Applications, and Future Direction
    Melkamu Abay Mersha, Khang Lamb, Joseph Wood, Ali M. Alshami, Jugal Kumar Kalita · 2024 · SSRN Electronic Journal
39. Enhancing aviation safety with artificial intelligence: A systematic literature review on recent advances, challenges and future perspectives
    Cho Yin Yiu, Wen‐Chin Li, Kam K.H. Ng · 2026 · Advanced Engineering Informatics
40. The promise of machine learning in violent conflict forecasting
    Max Murphy, Ezra Sharpe, Kayla Huang · 2024 · Data & Policy
41. Artificial Intelligence in Educational Technology: A Systematic Review of Datasets and Applications
    Luke Topham, Pete Atherton, Tom Reynolds, Yasir Hussain, Abir Jaafar Hussain, Hoshang Kolivand, Wasiq Khan · 2025 · ACM Computing Surveys
42. Artificial Intelligence in Critical Care Nephrology
    Wisit Cheungpasitporn, Charat Thongprayoon, KIANOUSH B KASHANI · 2025 · Kidney360
43. Explainability and interpretability of artificial intelligence use in cybersecurity
    Lizzy Oluwatoyin Ofusori, Tebogo Bokaba, Siyabonga Mhlongo · 2025 · Discover Computing
44. A knowledge-based decision support system to support family doctors in personalizing type-2 diabetes mellitus medical nutrition therapy
    Daniele Spoladore, Francesco Stella, Martina Tosi, Erna Cecilia Lorenzini, Cláudio Bettini · 2024 · Computers in Biology and Medicine
45. Detection and Classification of Oral Cancer Using Machine Learning Models
    Amit Kumar, Neha Vaishnavi Sharma · 2023 · International Conference on Technological Advancements in Computational Sciences (ICTACS)
46. Multi-source data-driven intelligent analysis and decision optimization for high-density pedestrian flows in urban public spaces
    Shiqi Zeng, Xiangsheng Chen, Dong Su, Haofeng Gong · 2025 · Automation in Construction
47. An explainable machine learning-based web attack detection system for industrial IoT web application security
    Oumaima Chakir, Yassine Sadqi, El Arbi Abdellaoui Alaoui · 2024 · Information Security Journal A Global Perspective
48. Toward Explainable AI in Spacecraft Health Monitoring: Comparative Benchmarking of Anomaly Detection Models and Open-Source Datasets
    Hassan Tahir, Mohammad Reza Jabbarpour, Quoc Bao Vo, Ryszard Kowalczyk, James Barr, Travis Bessell · 2025 · IEEE Access
49. XAIoT - The Future of Wearable Internet of Things
    Rafal Krzysiak, Shalyn Nguyen, YangQuan Chen · 2022 · IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications
50. XAI-based Data Visualization in Multimodal Medical Data
    Sahil Sharma, Muskaan Singh, Liam J. Mcdaid, Saugat Bhattacharyya · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
51. Assessing the Environmental Determinants of Micropollutant Contamination in Streams Using Explainable Machine Learning and Network Analysis.
    M. Ban, Dong-Hoon Lee, Byung-Tae Lee, Joo-Hyon Kang · 2024 · Chemosphere
52. Explainability in vis-NIR and XRF-based modeling for soil fertility analysis: A comprehensive review
    José Vinícius Ribeiro, Sylvio Barbon, Felipe Rodrigues dos Santos, Fábio Luiz Melquíades · 2026 · TrAC Trends in Analytical Chemistry
53. Reference-Based AI Decision Support for Cybersecurity
    Hyun-Woo Lee, Tae-Hyun Han, Taejin Lee · 2023 · IEEE Access
54. Engineering Carbon Emission-aware Machine Learning Pipelines
    Erik Johannes Husom, Sagar Sen, Arda Göknil · 2024 · IEEE/ACM International Conference on AI Engineering – Software Engineering for AI (CAIN)
55. Designing Human-Centric AI Mental Health Chatbots: A Case Study of Two Apps
    Kate Sangwon Lee, Janice Yeung, Arianni Kurniawati, Dillon Tingyang Chou · 2025 · Lecture notes in networks and systems
56. Driving Towards Safety: Open Challenges in Safeguarding CPS-IoT for Cooperative Intelligent Transportation System*
    Min Hee Jo, Peter Schneider, Alexey V. Vinel · 2024 · IEEE Intelligent Vehicles Symposium
57. Multiagent reinforcement learning-based dispatching model for overhead hoist transfer in automated material handling system
    Che-Wei Chou, W. K. Chiu, Yu-Teng Hsu · 2025 · Computers & Industrial Engineering
58. Protocols for Water and Environmental Modeling Using Machine Learning in California
    Minxue He, Prabhjot Sandhu, Peyman Namadi, Erik Reyes, Kamyar Guivetchi, Francis I. Chung · 2025 · Hydrology
59. Mobility Data Mining: the Maritime Use Case
    Alexandros Troupiotis-Kapeliaris, Dimitris Zissis, Sean M. Kohlbrenner, Christos Kastrisios · 2024 · IEEE International Workshop on Metrology for AeroSpace (MetroAeroSpace)
60. Explainable machine learning assisted design of tailor-made fuels using conjoint fingerprints
    Yong Chen, Zhiyuan Lu, Zhifeng Yao · 2024 · Energy Conversion and Management
61. Artificial Intelligence as the Next Frontier in Cyber Defense: Opportunities and Risks
    Oladele F. Afolalu, Mohohlo Samuel Tšoeu · 2025 · Electronics
62. Leveraging the Academic Artificial Intelligence Silecosystem to Advance the Community Oncology Enterprise
    Kevin J. McDonnell · 2023 · Journal of Clinical Medicine
63. Methodologies developed for dataset preparation and the interpretability of machine learning algorithms used for the prediction of crack growth rate
    Danilo Antonello Renzo, Marcello Laurenti, Pietro Foti · 2025 · Results in Engineering
64. Technology emancipative and traditionalist value in cross-cultural market segmentation
    Maria Petrescu, Marie‐Odile Richard, Aidin Namin, Burak Cankaya · 2024 · International Journal of Information Management
65. eXplainable artificial intelligence (XAI) in business management research: a success/failure system perspective
    Tsung‐Sheng Chang, Dong-Yih Bau · 2024 · Journal of Electronic Business & Digital Economics
66. The Frontiers of Smart Healthcare Systems
    Nan Lin, Rudy Paul, Santiago Guerra, Yan Liu, James Doulgeris, Min Shi, Maohua Lin, Erik D. Engeberg, Javad Hashemi, Frank D. Vrionis · 2024 · Healthcare
67. Multimodal machine learning for surgical decision support in epilepsy: Current evidence and translational gaps
    Mattia Mercier, Luca De Palma, Nicola Specchio · 2025 · Epilepsia
68. Towards Transparent Deep Learning in Medicine: Feature Contribution and Attention Mechanism-Based Explainability
    Thanveer Shaik, Xiaohui Tao, Haoran Xie, Lin Li, Niall Higgins, Juan David Velasquez · 2025 · Human-Centric Intelligent Systems
69. Towards Interpretable Emotion Classification: Evaluating LIME, SHAP, and Generative AI for Decision Explanations
    Muhammad Hammad Fahim Siddiqui, Diana Zaiu Inkpen, Alexander F. Gelbukh · 2024 · International Conference on Information Visualisation (IV)
70. Comparative study of deep learning explainability and causal ai for fraud detection
    Erum Parkar, Shilpa Gite, Sashikala Mishra · 2024 · International Journal on Smart Sensing and Intelligent Systems
71. Evaluating the Inclusiveness of Artificial Intelligence Software in Enhancing Project Management Efficiency – A review and examples of quantitative measurement methods
    Vasileios Alevizos, Ilias Georgousis, Akebu Simasiku, Antonis Messinis, Sotiria Karypidou, Dimitra Malliarou · 2024 · International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)
72. A Scoping Review and Assessment Framework for Technical Debt in the Development and Operation of AI/ML Competition Platforms
    Dionysios Sklavenitis, Dimitris Kalles · 2025 · Applied Sciences
73. On the Explainability of Financial Robo-Advice Systems
    Giulia Vilone, Francesco Sovrano, Michaël Lognoul · 2024 · Communications in computer and information science
74. DeepAden: An explainable machine learning method for predicting the substrate specificity of nonribosomal peptide synthetases
    Jiaquan Huang, Liangjun Ge, Yaxin Wu · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
75. Causality-enhanced system reliability and safety analysis: An overview
    Shuwen Zheng, Kai Pan, Yunxia Chen, Jie Liu, Enrico Zio · 2025 · Reliability Engineering & System Safety
76. Experimental review and recent advances in deep learning techniques for solar irradiance forecasting and prediction
    Chinedu I. Otuka, Dongsheng Cai, Chiagoziem C. Ukwuoma, Shuang Luo, Zhihui Yang, Olusola Bamisile, Chibueze D. Ukwuoma, Chizoba U. Otuka, Nkiruka O. Otuka, Qi Huang · 2025 · Solar Energy
77. Empowering Explainable Artificial Intelligence Through Case-Based Reasoning: A Comprehensive Exploration
    Preeja Pradeep, Marta Caro-Martínez, Anjana Wijekoon · 2025 · IEEE Transactions on Knowledge and Data Engineering
78. BIARO: an improved artificial rabbit optimization algorithm for feature selection in high-dimensional data
    Esraa Al-Daom, Bilal H. Abed-alguni · 2025 · Cluster Computing
79. Enhancing Early Detection of Alzheimer's Disease through MRI using Explainable Artificial Intelligence
    Teuku Rizky Noviandy, Ghifari Maulana Idroes, Adi Purnawarman · 2024 · Indonesian Journal of Case Reports
80. Rethinking high-resolution remote sensing image segmentation not limited to technology: a review of segmentation methods and outlook on technical interpretability
    Qianpeng Chong, Mengying Ni, Jianjun Huang, Guangyi Wei, Ziyi Li, Jindong Xu · 2024 · International Journal of Remote Sensing
81. Causal generative explainers using counterfactual inference: a case study on the Morpho-MNIST dataset
    Will Taylor-Melanson, Zahra Sadeghi, Stan Matwin · 2024 · Pattern Analysis and Applications
82. RCF-YOLOv8: A Multi-Scale Attention and Adaptive Feature Fusion Method for Object Detection in Forward-Looking Sonar Images
    Xiaoxue Li, Yuhan Chen, Xueqin Liu, Zhiliang Qin, Jiaxin Wan, Qingyun Yan · 2025 · Remote Sensing
83. Imagining and building wise machines: the centrality of AI metacognition
    Samuel G. B. Johnson, Amir-Hossein Karimi, Yoshua Bengio, Nick Chater A, Tobias Gerstenberg, Kate Larson, Sydney Levine, Melanie Mitchell, Iyad Rahwan, Bernhard Schölkopf et al. · 2026 · Trends in Cognitive Sciences
84. Credit Card Fraud Detection Through Explainable Artificial Intelligence for Managerial Oversight
    Muksalmina Muksalmina, Ahmad Syahyana, Ferdy Hidayatullah, Ghalieb Mutig Idroes, Teuku Rizky Noviandy · 2025 · Indatu Journal of Management and Accounting
85. Trust and care robots: philosophical considerations, ethical challenges, and viable options
    Mario Kropf · 2025 · Intelligent Service Robotics
86. UML Sequence Diagram Generation: A Multi-Model, Multi-Domain Evaluation
    Chi Xiao, Daniel Ståhl, Jan Bosch · 2025 · IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)
87. A data centric HitL framework for conducting a systematic error analysis of NLP datasets using explainable AI
    Ahmed El-Sayed, Aly Nasr, Youssef Mohamed, Ahmed Mohamed AlaaEldin, Mohab Ali, Omar Salah, Abdullatif Khalid, Shaimaa Lazem · 2025 · Scientific Reports
88. Computer-Aided Drug Design in Research on Chinese Materia Medica: Methods, Applications, Advantages, and Challenges
    Ban Chen, Shuangshuang Liu, Huiyin Xia, Xican Li, Ying Qing Zhang · 2025 · Pharmaceutics
89. Assessing the Transparency and Explainability of AI Algorithms in Planning and Scheduling tools: A Review of the Literature
    Sofia Morandini, Federico Fraboni, Enzo Balatti, Aranka Hackmann, Hannah Brendel, Gabriele Puzzo, Lucia Volpi, Davide Giusino, Marco De Angelis, Luca Pietrantoni · 2023 · AHFE international
90. Predicting pull-out strength and failure modes of metal anchors embedded in masonry structures using explainable machine learning models and empirical equations
    Aryan Baibordy, Mohammad Yekrangnia · 2025 · Results in Engineering
91. Artificial Intelligence (AI) in Cybersecurity and Inhibitors to AI Adoption
    Richard Barton, P. W. C. Prasad, Indra Seher, Amr Elchouemi · 2024 · International Conference on Intelligent Education and Intelligent Research (IEIR)
92. Decision Predicate Graphs: Enhancing Interpretability in Tree Ensembles
    Leonardo Arrighi, Luca Pennella, G. Tavares, Sylvio Barbon · 2024 · xAI
93. Evaluation of the Photoplethysmogram-Based Deep Learning Model for Continuous Respiratory Rate Estimation in Surgical Intensive Care Unit
    Chishin Hwang, Yong Hwan Kim, Jung Kyun Hyun, Joon Hwang Kim, Seo Rak Lee, Choong Min Kim, Jungwoo Nam, Eun Young Kim · 2023 · Bioengineering
94. A Neuro-Symbolic Framework for Ensuring Deterministic Reliability in AI-Assisted Structural Engineering: The SYNAPSE Architecture
    Adriano Castagnone, Giuseppe Nitti · 2026 · Buildings
95. Modelos Interpretáveis com Inteligência Artificial Explicável (XAI) na Detecção de Intrusões em Redes Intra-Veiculares Controller Area Network (CAN)
    Felipe N. Dresch, Felipe H. Scherer, Silvio E. Quincozes · 2024
96. Harnessing Synergies between Combinatorial Microfluidics and Machine Learning for Chemistry, Biology, and Fluidic Design
    Suyash S. Damir, Julie Probst, Andrew J. deMello, Stavros Stavrakis · 2025 · Chemistry - Methods
97. Info-CELS: Informative Saliency Map-Guided Counterfactual Explanation for Time Series Classification
    Peiyu Li, Omar Bahri, Pouya Hosseinzadeh, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi · 2025 · Electronics
98. An Explorative Study on the Adoption of Explainable Artificial Intelligence (XAI) in Business Organizations
    Mahdieh Darvish, Kret Samy Kret, Markus Bick · 2024 · Lecture notes in computer science
99. Empowering photodynamic therapy with artificial intelligence: current trends and future directions
    Avijit Paul, Marvin Xavierselvan, David Aebisher, Tomasz Piotr Kubrak, Dorota Bartusik‐Aebisher, Srivalleesha Mallidi · 2026 · Frontiers in Oncology
100. Enhancing explainability in AI-based energy forecasting through clustering and data selection
     Brígida Teixeira, Luís Valina, Tiago de Oliveira Pinto, Arsénio Reis, João Barroso, Zita Vale · 2025 · Sustainable Energy Grids and Networks