Explainable artificial intelligence: an analytical review

Cited by (844)

Items 801–844 of 844

  1. AI-Driven Genetic Marker Identification for Criminal Investigations Modern Biological Insights in Forensic Science
    Pravallika Vataparthi, Naga Jogayya Kothakota, Kiranbhai Ramabhai Dodiya · 2026 · Advances in computational intelligence and robotics book series
  2. Q-XAI: Towards Explainable Quantum Neural Networks for Human-Centered Intelligence
    Richard Jiang, Yijie Zhu, Plamen Parvanov Angelov, Yuri Pashkin, Vaneet Aggarwal · 2026 · Communications in computer and information science
  3. Knowledge-driven random forest models for identifying soybean planting areas from Sentinel-1/2 satellite imagery: An interpretable mapping approach
    Xinwen Wan, Tian Xiao, Jinling Zhao, Bao She, Haotong Wu, Linsheng Huang · 2026 · Advances in Space Research
  4. RNA-Seq and XAI Can be Used as Tools to Aid Pathologists in the Process of Cancer Diagnosis
    Patricia Maria Porras-Quesada, Pilar Sánchez, Carmen María Morales-Álvarez, Alberto Ramírez‐Mena, María Jesús Álvarez-Cubero, Luis Javier Martínez-González · 2026 · Methods in molecular biology
  5. On Interpretability in Multimodal Biomedical Image Analysis
    Sylvain Cussat‐Blanc, Camilo De La Torre, Yuri Cossich Lavinas, Hervé Luga, David Simoncini, Dennis G. Wilson · 2026 · Genetic and evolutionary computation
  6. Engineering safety into AI-assisted music medicine for headache management: a transparent guardrail framework
    Xuexing Luo, Zhichao Pei, Amy Jing-Wen Yin · 2026 · Frontiers in Neurology
  7. Understanding Body Dysmorphic Disorder Through Dynamic Network Simulation and Roleplay-Based Visualization
    Alexandru-Valentin Florea, Ioana-Daria Obada, Roy M. Treur, Sophie C. F. Hendrikse, Jan Treur A · 2026 · Lecture notes in networks and systems
  8. Development of an Explainable Machine Learning Framework for Cyberattack Detection Using Multiple Interpretation Techniques
    Dinara Akimova, Karimov Daniyal, Neilya Yessentay, Yernar Gabiden · 2026 · IEEE International Conference on Smart Information Systems and Technologies (SIST)
  9. The Role of Explainable Artificial Intelligence (XAI) in Software Engineering: A Systematic Review
    Martina Samuel, Dina A.M. Darwish · 2026 · IEEE International Conference on Smart Sustainable Systems for Computer and Engineering Applications (3SCEA)
  10. Edge-based danger detection system using phrase recognition on STM32 microcontroller with FreeRTOS and GSM communication
    Ho Yen Rou, Hermawan Nugroho · 2026 · Discover Electronics
  11. Beyond transparency: Governance tensions and a typology of accountability gaps in artificial intelligence for high-stakes service sectors
    Dorleta Urrutia-Onate, Julen Bollain, Enrique Onieva, Asier Perallos · 2026 · Journal of Governance and Regulation
  12. Advancing Sibling Research, Theory, and Practice
    Jesseca Perlman, Jennifer M. Jenkins · 2026 · Springer eBooks
  13. REVIEW AND ANALASYS OF EXPLAINABLE ARTIFICIAL INTELLIGENCE APPLICATIONS IN DISTRIBUTED SYSTEMS AND MICROSERVICES
    Latafat Abbas Gardashova, Allahshukur Mirzazada · 2026 · Himičeskaâ tehnologiâ. Kontrolʹ i upravlenie/Chemical Technology. Control and Management
  14. Seasonal explainability in machine learning-based solar forecasting for smart grid energy management: Insights from SHAP, PFI, PDP, and ICE analyses
    Gökçen Özdemir · 2026 · Electric Power Systems Research
  15. Deep learning-based collision avoidance techniques in multi-UAV networks: A survey
    Rifat Sarker Aoyon, Sangman Moh · 2026 · Computer Science Review
  16. Explainable AI for Alzheimer's Disease Detection and Classification: A Review
    G. Shanthi, Durgesh Nandan · 2026 · 2026 IEEE Global Symposium on Emerging and Communication Technologies (GSEACT)
  17. Artificial intelligence and machine learning in agri-food systems: A comprehensive review of technological frontiers, socio-ethical barriers, and future roadmaps
    Mohsen Abbod, Naser Safaie, Safaa N. Hussein · 2026 · DYSONA – Applied Science
  18. BiasQD-DT: Creating Interpretable Trade-Offs in Classifier Bias with Quality-Diversity Optimization via Decision Trees
    Catalina M. Jaramillo, Megan Charity, Julian Togelius · 2026 · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
  19. AI-Driven Strategic Planning in the Western Balkans: Navigating Challenges, Unlocking Opportunities
    Jolta Kacani, Aleš Trunk, Renata Petrevska Nechkoska, Bleona Xhafa, Gazmend Qorraj, Hatidža Jahić, Sajmira Kopani · 2026 · Engineering cyber-physical systems and critical infrastructures
  20. Systemic explainability for autonomous driving: connecting ethics to law and society
    Marco Sanchi · 2026 · AI & Society
  21. High-precision integrated diffractive optical networks enabling regression analysis
    Chao Chen, Hanting Ding, Yu Yu, Xinliang Zhang · 2026 · Nature Communications
  22. Conditional Perplexity Scoring for Large Language Model−Generated Differential Diagnoses in Case Reports: Preliminary Computational Evaluation
    Takanobu Hirosawa, Yukinori Harada, Ren Kawamura, Taro Shimizu · 2026 · JMIR Formative Research
  23. What Drives Market Performance? A Case Study from the Moroccan Market Using Machine Learning and Explainable AI
    Hamza Kadiri, Achraf Bouhmady, Khalid Belkhoutout · 2026 · International Conference on Circuit, Systems and Communication (ICCSC)
  24. Assessment of reproductive performance in dairy cows using explainable machine learning
    Elif Çelik Gürbulak, Uğur Kara, Esra Canooğlu, Hazal Aysın YÜCEEL, Ece Çetin, Mehmet DEMİREL, Kutlay Gürbulak · 2026 · Archives animal breeding/Archiv für Tierzucht
  25. TensorPat: Explainable artificial intelligence for EEG-based violence-stimulus classification
    Suat Tas, Dahiru Tanko, Mehmet Veysel Gün, Kübra Yıldırım, Ömer Faruk Göktaş, İrem Taşçı, Burak Taşçı, Gulay Tasci, Şengül Doğan, Türker Tuncer · 2026 · Technology and Health Care
  26. When does inconsistency help? The nonlinear effect of AI summary-rating inconsistency on consumer purchase intention
    Shanshan Guo, Kaichao Wang, Xiaoxiao Liu, Xinyi Feng · 2026 · Journal of Retailing and Consumer Services
  27. Technical fairness and social legitimacy: a conceptual mapping of algorithmic fairness, procedural justice, and explainable AI
    Arif Perdana · 2026 · AI and Ethics
  28. Improving interpretability and applicability of welfare management decisions in dairy cows through explainable artificial intelligence
    Pablo Augusto de Souza Fonseca, Aroa Suárez‐Vega, Beatriz Gutiérrez‐Gil, Christos Dadousis, Nophar Geifman, Caterina Melilli, Lorenzo Pascarella, Anthony David Whetton, J. J. Arranz · 2026 · Discover Artificial Intelligence
  29. Boric acid-activated carbon derived from Scots pine sawdust for phenol removal: adsorption mechanism, linear and nonlinear kinetic and isotherm modeling, and artificial neural network prediction
    Duygu Özdeş, Fatma Asya Turfan, Serdal Seker, Gonca KAVGACI, Yunus Önal · 2026 · RSC Advances
  30. Homomorphic Encryption Optimization in Real-Time IoT Healthcare Based on Adaptive Machine Learning and Explainable Artificial Intelligence
    Siddhartha Roy, Raisa Santra, Saptak Biswas, Ritisha Dhar, Ahona Ghosh, Arundhati Roy · 2026 · Lecture notes in networks and systems
  31. Neuro-Symbolic Methods for Trustworthy AI: A Systematic Review With a Focus on Interpretability
    Cyprien Michel‐‐Delétie, Md Kamruzzaman Sarker · 2026 · Neurosymbolic Artificial Intelligence
  32. New Metrics, New Styles: Customizing Rewards to Influence Agent Play
    Laura Triglia, Vittorio Guerrieri, Pablo V. A. Barros, Francesco Rea, Alessandra Sciutti · 2026 · Lecture notes in computer science
  33. Integrative predictive modelling and multi-omics validation reveals potential indicators of clinical heterogeneity in HCC
    Rashi Jain, Veena Puri, Sathish Kumar Mungamuri, Prabha Garg · 2026 · Biochemical and Biophysical Research Communications
  34. Explainable diabetes prediction using a stacked ensemble framework
    Saher Fatima Awan, Kainat Irfan, Umair Muneer Butt, Sukumar Letchmunan, Fadratul Hafinaz Hassan · 2026 · PLoS ONE
  35. A systematic review on cardiovascular risk stratification in the artificial intelligence paradigm using radiogenomics
    Manasvi Singh, Narendra Nath Khanna, Andrew N Nicolaides, Aditya Sharma, Siddharth Gupta, George D. Kitas, Inder M. Singh, Esma R. Isenović, Luca Saba, Jasjit S. Suri · 2026 · Exploration of Cardiology
  36. Physics-Informed Structural Attention Unlocks Efficient and Interpretable Inverse-Designed Photonic Devices
    Chao Luo, Huiyun Tang, Xiaoyu Chen, Zehao Guan, Yanzhen Li, Wei Li, Ming Li · 2026 · ACS Photonics
  37. Size Classification for Software Maintenance Projects Through a Simplified Minimalist Machine Learning Algorithm
    Cuauhtémoc López‐Martín, Cornelio Yáñez-Márquéz, Ali Bou Nassif · 2026 · Journal of Advanced Computational Intelligence and Intelligent Informatics
  38. Explainable Brain Tumor Classification in MRI Using Convolutional Neural Networks and Explainable AI Techniques
    Anwaar A. Alsulami, Maha M. Althobaiti · 2026 · Lecture notes in networks and systems
  39. Quantifying the nonlinear effects of driving factors on grassland degradation in Inner Mongolia, China
    Yijiao Lv, Yong Mei, Batunacun, Chang An, Yang Hu, Donghai Qiao, Shanhu Bao, Yuli Bai · 2026 · Ecological Indicators
  40. A Human‐Centered Approach to Designing Explainable AI Systems for Transparency and Trust
    Peter Varkey Muttungal, Jossy P. George, Nishi Priya, Benny Godwin J. Davidson · 2026
  41. TrustChainEdge
    S. Muthulakshmi, D. N. Kavya, Ashwin CS, Saptaparni Chatterjee, K. Chitra, Sangeetha Subramaniam · 2026 · Advances in computational intelligence and robotics book series
  42. Dynamics of trust in collaborative complex system design
    Nicolette Lakemond, Gunnar Holmberg · 2026 · Kybernetes
  43. Development and validation of an explainable artificial intelligence model for training load monitoring and performance risk prediction in university-level football under resource constraints
    Seymur Aliyev, Avaz Tagiyev, Mehemmedeli Rahimov, Yusif Valiyev, Khagani Ismayilov, Kifayet Huseynova · 2026 · Sport Sciences for Health
  44. Trust as reality maintenance: AI-mediated post-reality and second-order trust in complex systems
    Jason Zagami · 2026 · Kybernetes