Toward Human-Understandable, Explainable AI

Hagras, Hani·2018·Computer
DOI 10.1109/mc.2018.3620965

Cited by (351)

Items 201–300 of 351

  1. Bladder cancer gene expression prediction with explainable algorithms
    Kevser Kübra Kırboğa · 2023 · Neural Computing and Applications
  2. pplications of Artificial Intelligence in Dentistry: A Narrative Review
    Arpit Sikri, Jyotsana Sikri, Vritti Piplani, Yamika Thakur · 2024 · South Asian Research Journal of Oral and Dental Sciences
  3. Optimization test function synthesis with generative adversarial networks and adaptive neuro-fuzzy systems
    Miguel Melgarejo, Mariana Medina, Juan Lopez, Angie Rodriguez · 2024 · Information Sciences
  4. Human-Centered Referential Process Models for AI Application
    Matthes Elstermann, Jakob Bönsch, Andreas Kimmig, Jivka Ovtcharova · 2021 · Smart innovation, systems and technologies
  5. A Big Bang-Big Crunch Type-2 Fuzzy Logic System for Explainable Predictive Maintenance
    Shreyas J. Upasane, Hani Hagras, Mohammad Hossein Anisi, Stuart Savill, Ian Taylor, Kostas Manousakis · 2021 · IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
  6. Explainable AI (XAI): A Survey of Current and Future Opportunities
    Meet Kumari, Akshit Chaudhary, Yogendra Narayan · 2022 · Studies in computational intelligence
  7. Automated Training Plan Generation for Athletes
    Tomás Skerík, Lukáš Chrpa, Wolfgang Faber, Mauro Vallati · 2018 · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics
  8. Declarative Osmotic Application Placement
    Stefano Forti, Antonio Brogi A · 2021 · Lecture notes in business information processing
  9. Augmenting Social Science Research with Multimodal Data Collection: The EZ-MMLA Toolkit
    Bertrand Schneider, Javaria Hassan, Gahyun Sung · 2022 · Sensors
  10. Explainable AI for Lightweight Network Traffic Classification Using Depthwise Separable Convolutions
    Mustafa Ghaleb, Mosab Hamdan, Abdulaziz Yagoub Barnawi, Muhammad Liman Gambo, Abubakar Danasabe, Saheed Ademola Bello, Aliyu Habib · 2025 · IEEE Open Journal of the Computer Society
  11. FAME: Introducing Fuzzy Additive Models for Explainable AI
    Ömer Bahadır Gökmen, Yusuf Güven, Tufan Kumbasar · 2025 · IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
  12. Exploring the black box: analysing explainable AI challenges and best practices through stack exchange discussions
    Mohammad Mahdi Sayyadnejad, Ali Asgari, Ashkan Sami, Hooman Tahayori · 2025 · Empirical Software Engineering
  13. Trust Development and Explainability: A Longitudinal Study with a Personalized Assistive System
    Setareh Zafari, Jesse de Pagter, Guglielmo Papagni, Alischa Rosenstein, Michael Filzmoser, Sabine T. Koeszegi · 2024 · Multimodal Technologies and Interaction
  14. Unveiling sentiment analysis: A comparative study of LSTM and Logistic regression models with XAI insights
    D. Vaidya Chandu, Botre Mayuri, Rokde Yash, Kumbhalkar Sagar, Linge Soham, Pitale Soham, Bawne Shreyash · 2023 · i-manager s Journal on Computer Science
  15. Enhancing Symbol Recognition in Library Science via Advanced Technological Solutions
    Eleonora Bernasconi, Stefano Ferilli · 2025 · Information
  16. Explainable reinforcement learning in job-shop scheduling: A systematic literature review
    Fabian Erlenbusch, Nicole Stricker · 2025 · Procedia CIRP
  17. Explaining Traffic Situations – Architecture of a Virtual Driving Instructor
    Martin K. H. Sandberg, Johannes Rehm, Matej Mnoucek, Irina Reshodko, Odd Erik Gundersen · 2020 · Lecture notes in computer science
  18. When Outcomes are not Enough: An Examination of Abductive and Deductive Logical Approaches to Risk Analysis in Aviation
    Matthew Stogsdill · 2021 · Risk Analysis
  19. Adaptive Fuzzy Neural Agent for Human and Machine Co-learning
    Chang-Shing Lee, Yi-Lin Tsai, Mei‐Hui Wang, Shenghui Cindy Huang, Marek Reformat, Naoyuki Kubota · 2021 · International Journal of Fuzzy Systems
  20. Data stream classification with ant colony optimisation
    Ayah M. Helal, Fernando E. B. Otero · 2022 · International Journal of Intelligent Systems
  21. From Fitness Landscapes to Explainable AI and Back
    Sarah L. Thomson, Jason Adair, Alexander E. I. Brownlee, Daan van den Berg · 2023 · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
  22. Explaining Computer Predictions with Augmented Appraisal Degrees
    Marcelo Loor, Guy De Tré · 2019 · European Society for Fuzzy Logic and Technology Conference
  23. Governing AI through interaction: situated actions as an informal mechanism for AI regulation
    Gleb Papyshev · 2024 · AI and Ethics
  24. Shedding Light on the Black Box: Integrating Prediction Models and Explainability Using Explainable Machine Learning
    Yucheng Eason Zhang, Yuyan Zheng, Dan Wang, Xiaowei Gu, Michael James Zyphur, Lin Xiao, Shudi Liao, Yangyang Deng · 2025 · Organizational Research Methods
  25. Toward personalized AI-powered recommender systems to support users’ daily music choice experiences
    Youngsoo Shin, Krithik Ranjan, Michael C. Kowalski, JungKyoon Yoon · 2025 · International Journal of Human-Computer Studies
  26. Interpreting a Black-Box Model used for SCADA Attack detection in Gas Pipelines Control System
    Jash Rathod, Chaitali Joshi, Janavi Khochare, Faruk Kazi · 2020 · IEEE India Conference
  27. Explaining Bayesian Networks in Natural Language: State of the Art and Challenges
    Hennessy, Conor, Alberto Bugarín, Ehud Reiter · 2020 · Aberdeen University Research Archive (Aberdeen University)
  28. Explainable Fuzzy AI Challenge 2022: Winner’s Approach to a Computationally Efficient and Explainable Solution
    Sunny Mishra, Amit K. Shukla, Pranab Kumar Muhuri · 2022 · Axioms
  29. An art painting style explainable classifier grounded on logical and commonsense reasoning
    Vicent Costa, José M. Alonso, Zoe Falomir, Pilar Dellunde · 2023 · Soft Computing
  30. Human AI: Explainable and responsible models in computer vision
    Kukatlapalli Pradeep Kumar, Michael Moses Thiruthuvanathan, Swathikiran K.K, Duvvi Roopesh Chandra · 2023 · Elsevier eBooks
  31. Automated Decision Systems: Why Human Autonomy is at Stake
    Sabine T. Koeszegi · 2021 · Studies in systems, decision and control
  32. Rango: An Intuitive Rule Language for Learning Classifier Systems in Cyber-Physical Systems
    Melanie Feist, Martin Breitbach, Heiko Trötsch, Christian Becker, Christian Krupitzer · 2022 · IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS)
  33. Ethics and the explainable artificial intelligence(XAI) movement
    Greg Adamson · 2022
  34. “GenAI + blockchain” to coordinate agricultural supply chains to improve quality trust: an agent-based simulation study
    Shizhen Bai, Zijing Liu, Wen‐Ya Wu, Na Xu, Man Jiang · 2025 · Frontiers in Sustainable Food Systems
  35. Mapping Human–AI Relationships: Intellectual Structure and Conceptual Insights
    Nelson Alfonso Gómez-Cruz, Dorys Yaneth Rodríguez Castro, Claudia Fabiola Rey-Sarmiento, Rodrigo Arturo Zárate Torres, Álvaro Moncada Niño · 2026 · Technologies
  36. Transparency of combinatorial optimisations via machine learning and explainable AI
    Wolfgang Garn, Mehrdad Amirghasemi · 2025 · Annals of Operations Research
  37. Yapay Zekâ Risklerinin Etik Yönünden Değerlendirilmesi
    Ahmet Efe · 2021 · DergiPark (Istanbul University)
  38. Designing an Adaptive Embodied Conversational Agent for Health Literacy
    Joy Egede, Maria Jose Galvez Trigo, Adrian Hazzard, Martin Porcheron, Edgar Bodiaj, Joel E. Fischer, Chris Greenhalgh, Michel Valstar · 2021 · ACM International Conference on Intelligent Virtual Agents (IVA)
  39. Self-organizing Divisive Hierarchical Voronoi Tessellation-based classifier
    Xiaowei Gu, Qiang Shen · 2022 · Information Sciences
  40. Let Me Explain What I Did or What I Would Have Done: An Empirical Study on the Effects of Explanations and Person-Likeness on Trust in and Understanding of Algorithms
    Jessica M. Szczuka, Aike C. Horstmann, Natalia Szymczyk, Clara Strathmann, André Artelt, Lina Mavrina, Nicole C. Krämer · 2024 · Nordic Conference on Human-Computer Interaction
  41. What Does It Cost to Deploy an XAI System: A Case Study in Legacy Systems
    Sviatlana Höhn, Niko Faradouris · 2021 · Lecture notes in computer science
  42. A Survey of Citation Recommendation Tasks and Methods
    Zoran Medić, Jan Šnajder · 2021 · Journal of Computing and Information Technology
  43. Effect of fuzziness in fuzzy rule-based classifiers defined by strong fuzzy partitions and winner-takes-all inference
    Gabriella Casalino, Giovanna Castellano, Ciro Castiello, Corrado Mencar · 2022 · Soft Computing
  44. Explainability as a Method for Learning From Computers
    Martin Klimo, Jaroslav Kopčan, Ľubomír Králik · 2023 · IEEE Access
  45. DevOps for Trustworthy Smart IoT Systems
    Nicolas Ferry, Hui Song, Andreas Metzger, Erkuden Rios · 2021 · Emerald Group Publishing Limited eBooks
  46. A Topological Framework for Deep Learning
    Mustafa Hajij, Kyle Istvan · 2020 · arXiv (Cornell University)
  47. Optimized HMI Strategies for Collaborative Driving Interfaces in L3+ Autonomous Vehicles
    Banben He, Yongliang Zhang, Lin Li, Xiaocui Wang, Jingqiang Jin, Tian Lan · 2024 · International Conference on Robotics, Artificial Intelligence and Intelligent Control (RAIIC)
  48. Deriving equivalent symbol-based decision models from feedforward neural networks
    Sebastian Seidel, Uwe M. Borghoff · 2025 · Frontiers in Artificial Intelligence
  49. Enablers and barriers to AI adoption: evidence from the heavy machinery industry
    Alena Valtonen, Kirsi Kokkonen, Minna Saunila, Francesco Verdoja, Grzegorz Orzechowski, Emil Kurvinen, Päivi Hanna Maria Aaltonen, Jussi Salakka · 2026 · Discover Artificial Intelligence
  50. On Explainability in AI-Solutions: A Cross-Domain Survey
    Simon D. Duque Antón, Daniel Schneider, Hans Dieter Schotten · 2022 · Lecture notes in computer science
  51. Conceptual Legal Challenges in Tax Automation via Blockchain Technology
    C. Dimitropoulou, I. Lazarov, Y. Lawson · 2023 · World Tax Journal
  52. Enhanced type-2 Wang-Mendel Approach
    Prashant Kumar Gupta, Javier Andreu-Pérez · 2022 · Journal of Experimental & Theoretical Artificial Intelligence
  53. A Novel Explainable Nature-inspired Metaheuristic: Jaguar Algorithm with Precision Hunting Behavior
    Ching-Hsuan Wu, Jyun–Yi Shen, Pei-Shin Huang, Cheng-Yen Hua, Yu-Chi Jiang, Shu–Yu Kuo, Yao–Hsin Chou · 2022 · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics
  54. What should AI see? Using the public’s opinion to determine the perception of an AI
    Robin Chan, Radin Dardashti, Meike Osinski, Matthias Rottmann, Dominik Brüggemann, Cilia Rücker, Peter Schlicht, Fabian Hüger, Nikol Rummel, Hanno Gottschalk · 2023 · AI and Ethics
  55. Explainable Neural Network Recognition of Handwritten Characters
    Paul Whitten, Francis Wolff, C. Papachristou · 2023 · IEEE Annual Computing and Communication Workshop and Conference (CCWC)
  56. Semantic Web Technologies in Sensor-Based Personal Health Monitoring Systems: A Systematic Mapping Study
    Mbithe Nzomo, Deshendran Moodley · 2026 · Semantic Web
  57. Robotik in der Wirtschaftsinformatik
    Sara D’Onofrio, Stefan Meinhardt · 2020 · HMD Praxis der Wirtschaftsinformatik
  58. Concept learning based on human interaction and explainable AI
    Blake Ruprecht, Derek T. Anderson, Frederick E. Petry, James M. Keller, Chris Michael, Andrew R. Buck, Grant J. Scott, Curt H. Davis · 2021 · Pattern Recognition and Tracking
  59. An Interval Type-2 Fuzzy-based System to Create Building Information Management Models from 2D Floor Plan Images
    Hugo Leon-Garza, Hani Hagras, Anasol Peña-Ríos, Anthony Conway, Gilbert Owusu · 2021 · IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
  60. Extreme low apparent temperature forecasting for early warning of mortality by data-driven deep learning
    Lei Xu, Hongchu Yu, Xihao Zhang, Yuan Gan · 2023 · Journal of Geography and Cartography
  61. Predicting health insurance premiums using machine learning: A novel regression-based model for enhanced accuracy and personalization
    Lakshmi Narasimhan Srinivasagopalan · 2023 · World Journal of Advanced Research and Reviews
  62. A blockchain-enabled horizontal federated learning system for fuzzy invasion detection in maintaining space security
    Yung Po Tsang, C.H. Wu, W.H. Ip, Kai Leung Yung · 2024 · Journal of Industrial Information Integration
  63. Interpreting and Evaluating Black Box Models in a Customizable Way
    Lixin Fan, Chang Liu, Yuhao Zhou, Tianyu Zhang, Qiang Yang · 2020 · IEEE International Conference on Big Data (BigData)
  64. A Syntactic Pattern Recognition Based Approach to Online Anomaly Detection and Identification on Electric Motors
    Kutalmış Coşkun, Zeynep Kumralbaş, Semiha Hazel Çavuş, Borahan Tümer · 2022 · Lecture notes in computer science
  65. On the Transposition of FAIR Data Principles to Financial Services: An Adapted FAAIR Guideline
    Emer Owens, Barry Sheehan, Martin Mullins, Martin Cunneen, Ben O’Connell · 2025 · Accounting Finance & Governance Review/Accounting finance & governance review
  66. iWEP: An Intelligent WLAN Early Warning Platform Using Edge Computing
    Runhao Liu, Weitao Wang, Jiayao Wang, Zhixin Ou, Haozhong Qiu, Benyu Wang, Qiang Liu · 2019 · International Conference on Mobile Ad-Hoc and Sensor Networks (MSN)
  67. PCA Tail as the Anomaly Indicator
    Ondrej Škvarek, Martin Klimo, Jaroslav Kopčan · 2020 · International Conference on Emerging eLearning Technologies and Applications (ICETA)
  68. Spannungsfeld automatisierte Entscheidungssysteme und Autonomie
    Sabine T. Koeszegi · 2021 · Management-Reihe Corporate Social Responsibility
  69. Explainable Artificial Intelligence Methodology for Handwritten Applications
    Paul Whitten, Francis Wolff, C. Papachristou · 2021 · IEEE National Aerospace and Electronics Conference (NAECON)
  70. Towards Interval Type-2 Fuzzy-Based PPG Quality Assessment for Physiological Monitoring
    José Miranda, Alba Páez-Montoro, C. López-Ongil, Javier Andreu-Pérez · 2022 · IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
  71. What Other Factors Might Impact Building Trust in Government Decisions Based on Decision Support Systems, Except for Transparency and Explainability?
    Sam Leewis, Koen Smit · 2023 · Hawaii International Conference on System Sciences (HICSS)
  72. XAI Language Tutor - A XAI-based Language Learning Chatbot using Ontology and Transfer Learning Techniques
    Nuobei Shi, Qin Da Zeng, Raymond Lee · 2020 · International Journal on Natural Language Computing
  73. Beyond Deep Event Prediction: Deep Event Understanding Based on Explainable Artificial Intelligence
    Bukhoree Sahoh, Anant Choksuriwong · 2021 · Studies in computational intelligence
  74. A Time Series Based Explainable Interval Type-2 Fuzzy Logic System
    Ashish Bhatia, Hani Hagras · 2022 · IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
  75. Adoption of Artificial Intelligence for Optimum Productivity in the Construction Industry
    Nwosu Obinnaya Chikezie Victor · 2022 · Preprints.org
  76. Enhancing Developmental Language Disorder Identification with Artificial Intelligence: Development of an Explainable Screening App Using Real and Synthetic Data
    Georgios P. Georgiou · 2025 · Journal of Autism and Developmental Disorders
  77. An Intelligent Approach to Predict the Traffic Congestion Level Entangled With Machine Learning and Explainable Artificial Intelligence
    Salman Muneer, Hamza Muneer, Arslan Munir, Naila Sammar Naz, Tehseen Mazhar, Mamoon Mohammed Ali Saeed, Muhammad Adnan Khan, Habib Hamam · 2026 · IET Intelligent Transport Systems
  78. A Hand-Gesture Recognition Based Interpretable Type-2 Fuzzy Rule-based System for Extended Reality
    Hugo Leon-Garza, Hani Hagras, Anasol Peña-Ríos, Ozkan Cem Bahceci, Anthony Conway · 2022 · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics
  79. Eudaimonic and Hedonic Qualities as Predictors of Music Videos’ Relevance to Users: A Human-Centric Study
    Elham Motamedi, Marko Tkalčič, Zoltán Szlávik · 2023 · ACM Conference on User Modeling, Adaptation and Personalization (UMAP)
  80. A Perceptual Computing Approach for Learning Interpretable Unsupervised Fuzzy Scoring Systems
    Prashant Kumar Gupta, Deepak Sharma, Javier Andreu-Pérez · 2023 · IEEE Transactions on Artificial Intelligence
  81. Artificial Intelligence, Algorithmic Governance, and the Manufacturing of Suspicion and Risk
    Tereza Østbø Kuldova · 2022 · Springer eBooks
  82. Learning and interpreting asymmetry-labeled DAGs: a case study on COVID-19 fear
    Manuele Leonelli, Gherardo Varando · 2024 · Applied Intelligence
  83. Rule-based Explainable Artificial Intelligence
    Sinem Akyol · 2023
  84. A Semantic Architecture for Continuous Health Monitoring, Risk Prediction, and Proactive Decision Making
    Mbithe Nzomo, Deshendran Moodley · 2024 · Studies in computational intelligence
  85. Single Hidden Layer CEFYDRA: Cluster-first Explainable FuzzY-based Deep self-Reorganizing Algorithm
    Javier Viaña, Stephan Ralescu, Владик Крейнович, Anca Ralescu, Kelly De Oliveira Cohen · 2022 · Lecture notes in networks and systems
  86. Erratum
    2019 · Computer
  87. Ethics and the explainable artificial intelligence(XAI) movement
    Greg Adamson · 2022
  88. Navigating the Divide: Exploring the Boundaries and Implications of Artificial Intelligence Compared to Human Intelligence
    Varun Geetha Mohan, Mohamed Ariff Ameedeen, Al-Fahim Mubarak Ali · 2024 · SSRN Electronic Journal
  89. Robotics, Automation, and the Future of Sports
    Joshua Eric Siegel, Daniel Morris · 2023 · Future of business and finance
  90. A Novel Method Based on the Fuzzy Entropy Measure to Optimize the Fuzziness in Trapezoidal Strong Fuzzy Partitions
    Barbara Cardone, Ferdinando Di Martino · 2024 · Information
  91. X-AI Techniques for Human–AI Teams: The Implementation-Design Framework
    John Turner, Hoda Parvaneh Shirazi, Hee Sun Kim, Jiajia Du, Yeonji Jung, Xiaoyan Xu · 2026 · Systems
  92. Conceptualisation of the Relational Governance of Artificial Intelligence
    Sabine Wiesmüller · 2023 · Relational economics and organization governance
  93. Unveiling Hidden Anomalies: A Hybrid Approach for Surface Mounted Electronics
    Amir Ghorbani Ghezeljehmeidan, Willem Dirk van Driel, Justin Dauwels · 2024 · IEEE International Conference on Industrial Informatics (INDIN)
  94. Machine Learning -based Optimization of Biomass Drying Process: Application of Utilizing Data Center Excess Heat
    Henna Tiensuu, Virpi Leinonen, Jani Isökääntä, Jaakko Suutala · 2025 · Linköping electronic conference proceedings
  95. Reflecting on Artificial Intelligence and Financial Statement Analysis Using a Critical Management Framework Approach
    Gideon Els · 2025 · Contributions to finance and accounting
  96. Exploring factors affecting user intention to accept explainable artificial intelligence
    Yu-Min Wang, Chei‐Chang Chiou · 2025 · Computer Science and Information Systems
  97. Human–AI collaboration: the dual role of explanation on human closeness and threat
    Jyun‐Cheng Wang, Xiaoxuan Zhuang, Halim Budi Santoso · 2026 · Behaviour and Information Technology
  98. Advancing occupational exposure models: insights from a case study
    Remy Franken, Ilse Ottenbros, Calvin Ge, Wouter Fransman, Tanja Krone · 2026 · Annals of Work Exposures and Health
  99. Explainable Conversational Agents for Mobile Health Coaching Systems: Trust Factors, Progress and Opportunities
    Luminous Akazua, Jianlong J. Zhou, Fang Chen, Niusha Shafiabady, Tian George, Andreas Holzinger, Heimo Müller · 2026 · Machine Learning and Knowledge Extraction
  100. Explainability Methods for Hardware Trojan Detection: A Systematic Comparison
    Paul Whitten, Francis Wolff, C. Papachristou · 2026 · Journal of Electronic Testing