Toward Human-Understandable, Explainable AI

Cited by (351)

Items 101–200 of 351

1. MSGC: Multi-scale grid clustering by fusing analytical granularity and visual cognition for detecting hierarchical spatial patterns
   Zhipeng Gui, Dehua Peng, Huayi Wu, Xindi Long · 2020 · Future Generation Computer Systems
2. Explainable AI for Chiller Fault-Detection Systems: Gaining Human Trust
   Seshadhri Srinivasan, Pandarasamy Arjunan, Baihong Jin, Alberto Luigi Sangiovanni-Vincentelli, Zuraimi Sultan, Kameshwar R. Poolla · 2021 · Computer
3. Interpretable Machine Learning for Predicting Customer Churn in Retail Banking
   Sudi Murindanyi, Ben Wycliff Mugalu, Joyce Nakatumba Nabende, Ggaliwango Marvin · 2023 · International Conference on Trends in Electronics and Informatics (ICOEI)
4. Towards next-gen smart manufacturing systems: the explainability revolution
   Puthanveettil Madathil Abhilash, Xichun Luo, Qi Liu, Rajeshkumar Madarkar, Charles T. Walker · 2024 · npj Advanced Manufacturing
5. A Self-Organizing Fuzzy Logic Classifier for Benchmarking Robot-Aided Blasting of Ship Hulls
   M. A. Viraj J. Muthugala, Anh Vu Le, Eduardo Sanchez Cruz, Mohan Rajesh Elara, Prabakaran Veerajagadheswar, Madhu Kumar · 2020 · Sensors
6. Virtual-reality-based digital twin of office spaces with social distance measurement feature
   Abhishek Mukhopadhyay, G. S. Rajshekar Reddy, Kamalpreet Singh Saluja, Subhankar Ghosh, Anasol Peña-Ríos, Gokul Gopal, Pradipta Biswas · 2022 · Virtual Reality & Intelligent Hardware
7. Storytelling With Learner Data: Guiding Student Reflection on Multimodal Team Data
   Gloria Milena Fernandez-Nieto, Vanessa Echeverría, Simon Buckingham Shum, Katerina Mangaroska, Kirsty Kitto, Evelyn Palominos, Carmen Axisa, Roberto Martínez‐Maldonado · 2021 · IEEE Transactions on Learning Technologies
8. A Hybrid Approach for Mass Valuation of Residential Properties through Geographic Information Systems and Machine Learning Integration
   Muhammed Oğuzhan Mete, Tahsin Yomralıoğlu · 2022 · Geographical Analysis
9. Data Is the New Oil–Sort of: A View on Why This Comparison Is Misleading and Its Implications for Modern Data Administration
   Christoph Stach · 2023 · Future Internet
10. Artificial Intelligence in the Global South (AI4D): Potential and Risks
    P. J. Wall, Deepak Kumar Saxena, Suzana Brown · 2021 · arXiv (Cornell University)
11. Explainable artificial intelligence in high-throughput drug repositioning for subgroup stratifications with interventionable potential
    Zainab Al-Taie, Danlu Liu, Jonathan B. Mitchem, Christos Papageorgiou, Jussuf T. Kaifi, Wesley C. Warren, Chi‐Ren Shyu · 2021 · Journal of Biomedical Informatics
12. Explainable Recommendations in Intelligent Systems: Delivery Methods, Modalities and Risks
    Naiseh, Mohammad, Jiang, Nan, Ma, Jianbing, Ali, Raian · 2020 · Lecture Notes in Business Information Processing
13. Emerging technologies for efficient water use in agriculture: A review of current trends and future directions
    Uttam Biswas Antu, Md. Saiful Islam, Sujat Ahmed, Md. Arifuzzaman, Sawmitra Saha, Puja Rani Mitu, Aditya Raj Sarkar, Nor Aida Mahiddin, Zulhilmi Ismail, Khalid A. Ibrahim et al. · 2024 · Journal of Water Process Engineering
14. Visual process maps: a visualization tool for discovering habits in smart homes
    Francesco Leotta, Massimo Mecella, Daniele Sora · 2019 · Journal of Ambient Intelligence and Humanized Computing
15. An explainable artificial intelligence approach for decoding the enhancer histone modifications code and identification of novel enhancers in Drosophila
    Jareth C. Wolfe, Liudmila A Mikheeva, Hani Hagras, Nicolae Radu Zabet · 2021 · Genome biology
16. Using fNIRS to Identify Transparency- and Reliability-Sensitive Markers of Trust Across Multiple Timescales in Collaborative Human-Human-Agent Triads
    Lucca Eloy, Emily J. Doherty, Cara A. Spencer, Philip Bobko, Leanne Hirshfield · 2022 · Frontiers in Neuroergonomics
17. Competition between AI foundation models: dynamics and policy recommendations
    Thibault Schrepel, Alex Pentland · 2024 · Industrial and Corporate Change
18. An Explainable Hybrid Model for Bankruptcy Prediction Based on the Decision Tree and Deep Neural Network
    Chou, Tsung-Nan · 2019 · 2019 IEEE 2nd International Conference on Knowledge Innovation and Invention (ICKII)
19. Moral transparency of and concerning algorithmic tools
    Paul Hayes, Ibo van de Poel, Marc Steen · 2022 · AI and Ethics
20. Implementing Data Exfiltration Defense in Situ: A Survey of Countermeasures and Human Involvement
    Mu-Huan Chung, Yuhong Yang, Lu Wang, Greg Cento, Khilan Jerath, Abhay Raman, David Lie, Mark Chignell · 2023 · ACM Computing Surveys
21. A hierarchical prototype-based approach for classification
    Xiaowei Gu, Weiping Ding · 2019 · Information Sciences
22. Essential Features in a Theory of Context for Enabling Artificial General Intelligence
    Mayank Kejriwal · 2021 · Applied Sciences
23. I Don’t Know, Is AI Also Used in Airbags?
    Fatemeh Alizadeh, Gunnar Stevens, Margarita Esau · 2021 · i-com
24. Deep learning with transfer learning in pathology. Case study: classification of basal cell carcinoma
    Raluca Maria Bungărdean, Mircea-Sebastian Şerbănescu, Costin Teodor Streba, Maria Crişan · 2022 · Romanian Journal of Morphology and Embryology
25. An Analysis of the Ingredients for Learning Interpretable Symbolic Regression Models with Human-in-the-loop and Genetic Programming
    Giorgia Nadizar, Luigi Rovito, Andrea De Lorenzo, Eric Medvet, Marco Virgolin · 2024 · ACM Transactions on Evolutionary Learning and Optimization
26. Predicting and understanding human action decisions during skillful joint-action using supervised machine learning and explainable-AI
    Fabrizia Auletta, Rachel W. Kallen, Mario di Bernardo, Michael J. Richardson · 2023 · Scientific Reports
27. A Life-Long Learning XAI Metaheuristic-Based Type-2 Fuzzy System for Solar Radiation Modeling
    Majid Almaraashi, Mahmoud Abdulrahim, Hani Hagras · 2023 · IEEE Transactions on Fuzzy Systems
28. "If it is easy to understand then it will have value": Examining Perceptions of Explainable AI with Community Health Workers in Rural India
    Chinasa T. Okolo, Dhruv Agarwal, Nicola Lee Dell, Aditya Vashistha · 2024 · Proceedings of the ACM on Human-Computer Interaction
29. Toward obstacle-specific morphology for a reconfigurable tiling robot
    S. M. Bhagya P. Samarakoon, M. A. Viraj J. Muthugala, Mohan Rajesh Elara · 2021 · Journal of Ambient Intelligence and Humanized Computing
30. The Design and Implementation of Language Learning Chatbot with XAI using Ontology and Transfer Learning
    Nuobei Shi, Qin Da Zeng, Raymond Lee · 2020
31. Evidence-Based and Explainable Smart Decision Support for Quality Improvement in Stainless Steel Manufacturing
    Henna Tiensuu, Satu Tamminen, Esa Puukko, Juha Röning · 2021 · Applied Sciences
32. Towards Understanding Human Functional Brain Development With Explainable Artificial Intelligence: Challenges and Perspectives
    Mehrin Kiani, Javier Andreu-Pérez, Hani Hagras, Silvia Rigato, Maria Laura Filippetti · 2022 · IEEE Computational Intelligence Magazine
33. Developing a Multimodal Classroom Engagement Analysis Dashboard for Higher-Education
    Alpay Sabuncuoğlu, Tevfik Metin Sezgin · 2023 · Proceedings of the ACM on Human-Computer Interaction
34. Data Augmentation for Improving Explainability of Hate Speech Detection
    Gunjan Ansari, Parmeet Kaur, Chandni Saxena · 2023 · Arabian Journal for Science and Engineering
35. DCNN: Deep Convolutional Neural Network With XAI for Efficient Detection of Specific Language Impairment in Children
    Khan Md. Hasib, M. F. Mridha, Md Humaion Kabir Mehedi, Kazi Omar Faruk, Rabeya Khatun Muna, Shahriar Iqbal, Md. Rashedul Islam, Yutaka Watanobe · 2024 · IEEE Access
36. AI‐based R&D for frozen and thawed meat: Research progress and future prospects
    Jiangshan Qiao, Min Zhang, Dayuan Wang, ARUN SADASHIV MUJUMDAR, Chaoyang Chu · 2024 · Comprehensive Reviews in Food Science and Food Safety
37. A type-2 fuzzy system-based approach for image data fusion to create building information models
    Hugo Leon-Garza, Hani Hagras, Anasol Peña-Ríos, Anthony Conway, Gilbert Owusu · 2022 · Information Fusion
38. Interval incremental learning of interval data streams and application to vehicle tracking
    Daniel Furtado Leite, Igor Škrjanc, Sašo Blažič, Andrej Zdešar, Fernando A. C. Gomide · 2023 · Information Sciences
39. Humans and cyber-physical systems as teammates? Characteristics and applicability of the human-machine-teaming concept in intelligent manufacturing
    Franziska Bocklisch, Norbert Huchler · 2023 · Frontiers in Artificial Intelligence
40. An Information-Theoretic Approach to Personalized Explainable Machine Learning
    Alexander Jung, Pedro H. J. Nardelli · 2020 · IEEE Signal Processing Letters
41. A Temporal Type-2 Fuzzy System for Time-Dependent Explainable Artificial Intelligence
    Mehrin Kiani, Javier Andreu-Pérez, Hani Hagras · 2022 · IEEE Transactions on Artificial Intelligence
42. Interpretable predictions of chaotic dynamical systems using dynamical system deep learning
    Mingyu Wang, Jianping Li · 2024 · Scientific Reports
43. Toward the Bleaching of the Black Boxes: Minimalist Machine Learning
    Cornelio Yáñez-Márquéz · 2020 · IT Professional
44. Self-learning and explainable deep learning network toward the security of artificial intelligence of things
    Wu Bin, Xiangjian He · 2022 · The Journal of Supercomputing
45. Detection of Driving Distractions and Their Impacts
    Arian Shajari, Houshyar Asadi, Sébastien Glaser, Adetokunbo Arogbonlo, Shady M. Korany Mohamed, Lars Kooijman, Ahmad Abu Alqumsan, Saeid Nahavandi · 2023 · Journal of Advanced Transportation
46. XAI Requirements in Smart Production Processes: A Case Study
    Deborah Baum, Kevin L. Baum, Timo P. Gros, Verena Wolf · 2023 · Communications in computer and information science
47. Sustainable Development Goal 14: Explainable AI (XAI) for Ocean Health
    Wasswa Shafik · 2024 · The Springer series in applied machine learning
48. The determinants of voluntary disclosure: Integration of eXtreme gradient boost (XGBoost) and explainable artificial intelligence (XAI) techniques
    Yu-Hsin Lu, Yu-Cheng Lin · 2024 · International Review of Financial Analysis
49. Collaborative Intelligence for Safety-Critical Industries: A Literature Review
    Inês Filipa Fernandes Ramos, Gabriele Gianini, Maria Chiara Leva, Ernesto Damiani · 2024 · Information
50. Using Explainable Artificial Intelligence to Discover Interactions in an Ecological Model for Obesity
    Ben Allen, Morgan Lane, Elizabeth Anderson Steeves, Hollie A. Raynor · 2022 · International Journal of Environmental Research and Public Health
51. Explaining Technology We Do Not Understand
    Greg Adamson · 2023 · IEEE Transactions on Technology and Society
52. Application of neuro-fuzzy ensembles across domains: A systematic review of the two last decades (2000–2022)
    Hafsaa Ouifak, Ali Idri · 2023 · Engineering Applications of Artificial Intelligence
53. Signaling and perceiving on equity crowdfunding decisions — a machine learning approach
    Jinjuan Yang, Jiayuan Xin, Yan Zeng, Pei Jose Liu · 2025 · Small Business Economics
54. Highly interpretable hierarchical deep rule-based classifier
    Xiaowei Gu, Plamen Parvanov Angelov · 2020 · Applied Soft Computing
55. A Computer-Aided Diagnostic System for Diabetic Retinopathy Based on Local and Global Extracted Features
    Sayed Haggag, Ahmed A. Elnakib, Ahmed Sharafeldeen, Mohamed Elsharkawy, Fahmi Khalifa, Rania Kamel Farag, Mohamed A. Mohamed, Harpal Singh Sandhu, Wathiq Mansoor, Ashraf Sewelam et al. · 2022 · Applied Sciences
56. Depicting Decision-Making: A Type-2 Fuzzy Logic Based Explainable Artificial Intelligence System for Goal-Driven Simulation in the Workforce Allocation Domain
    Emmanuel Ferreyra, Hani Hagras, Mathias Kern, Gilbert Owusu · 2019 · IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
57. Ontologies for Smart Agriculture: A Path Toward Explainable AI—A Systematic Literature Review
    Rima Grati, Najla Fattouch, Khouloud Boukadi · 2025 · IEEE Access
58. Data science for geoscience: Recent progress and future trends from the perspective of a data life cycle
    Xiaogang Ma · 2022 · Geological Society of America eBooks
59. Bias, fairness, and assurance in AI: overview and synthesis
    Amira Al-Khulaidy, Hamdi Kavak · 2023 · Elsevier eBooks
60. A Big Bang-Big Crunch Type-2 Fuzzy Logic System for Explainable Semantic Segmentation of Trees in Satellite Images using HSV Color Space
    Hugo Leon-Garza, Hani Hagras, Anasol Peña-Ríos, Anthony Conway, Gilbert Owusu · 2020 · IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
61. A multi-granularity locally optimal prototype-based approach for classification
    Xiaowei Gu, Miqing Li · 2021 · Information Sciences
62. Interpretable trading pattern designed for machine learning applications
    Artur Sokolovsky, Luca Arnaboldi, Jaume Bacardit, Thomas Groß · 2023 · Machine Learning with Applications
63. A Feasible and Explainable Network Traffic Classifier Utilizing DistilBERT
    Chang-Yui Shin, Jee-Tae Park, Ui-Jun Baek, Myung‐Sup Kim · 2023 · IEEE Access
64. Doing versus saying: responsible AI among large firms
    Jacques Bughin · 2024 · AI & Society
65. Contextualizing Support Vector Machine Predictions
    Marcelo Loor, Guy De Tré · 2020 · International Journal of Computational Intelligence Systems
66. A Case Study of Interpretable Counterfactual Explanations for the Task of Predicting Student Academic Performance
    Maria Tsiakmaki, O. Ragos · 2021 · International Conference on Circuits, Systems, Communications and Computers (CSCC)
67. Toward Accountable and Explainable Artificial Intelligence Part One: Theory and Examples
    M. M. Khan, J. Vice · 2022 · IEEE Access
68. HUMAN FACTORS AND ERGONOMICS IN DESIGN OF A3: AUTOMATION, AUTONOMY, AND ARTIFICIAL INTELLIGENCE
    Ben D. Sawyer, David Miller, Matthew Canham, Waldemar Karwowski · 2021 · Wiley eBooks
69. Human-Machine Interactions in Very-Low-Level UAS Operations and Traffic Management
    Nichakorn Pongsakornsathien, Alessandro Gardi, Roberto Sabatini, Trevor Kistan, Neta Ezer · 2020 · IEEE/AIAA Digital Avionics Systems Conference (DASC)
70. Explainable empirical risk minimization
    Linli Zhang, Georgios Karakasidis, Arina Odnoblyudova, Leyla Dogruel, Yu Tian, Alexander Jung · 2023 · Neural Computing and Applications
71. Explainable ensemble-based machine learning model for polycystic ovary syndrome detection using hybrid feature selection
    Pooja Balagouda Patil, Rashmi M., B. V. Natesha, Ramya D Shetty · 2025 · International Journal of Information Technology
72. Exploring Explainability and Transparency in Deep Neural Networks: A Comparative Approach
    J. Bhagya, Jeena Thomas, Ebin Deni Raj · 2023 · International Conference on Intelligent Computing and Control Systems (ICICCS)
73. Exploring AI Integration in SME Production Planning: Design Spaces and the Role of Workers
    Marco Fries, Julia Nießner, Thomas G. Ludwig, Christoph Kotthaus · 2025 · Computer Supported Cooperative Work (CSCW)
74. Robotics, Automation, and the Future of Sports
    Joshua Eric Siegel, Daniel Morris · 2020 · Future of business and finance
75. A Co-design Study for Multi-stakeholder Job Recommender System Explanations
    Roan Schellingerhout, Francesco Barile, Nava Tintarev · 2023 · Communications in computer and information science
76. Responsible Machine Learning for Ethical Artificial Intelligence in Business and Industry
    Deepak Kumar Saxena, Markus Lamest, Veena Bansal · 2021 · Advances in business information systems and analytics book series
77. Artificial Intelligence in Organizational Communication: Challenges, Opportunities, and Implications
    Ib Tunby Gulbrandsen, Sine Nørholm Just · 2024 · New perspectives in organizational communication
78. A Fuzzy Logic Technique for the Environmental Impact Assessment of Marine Renewable Energy Power Plants
    Pamela Flores, Edgar Mendoza · 2025 · Energies
79. FishMet: A Digital Twin Framework for Appetite, Feeding Decisions and Growth in Salmonid Fish
    Sergey V. Budaev, Giovanni Marco Cusimano, Ivar Rønnestad · 2025 · Aquaculture Fish and Fisheries
80. How does explainable AI affect service innovation of frontline employees? A moderated chain mediation model
    Xianmiao Li, Qilin Zong · 2026 · International Journal of Contemporary Hospitality Management
81. Hybrid decision-making in atmospheric plasma spraying enables human–machine teaming
    Franziska Bocklisch, Steffen F. Bocklisch, Maximilian Grimm, Thomas Lampke, Shrikant Vishwanath Joshi · 2024 · The International Journal of Advanced Manufacturing Technology
82. An IOHMM-Based Framework to Investigate Drift in Effectiveness of IoT-Based Systems
    Gérald Rocher, Stéphane Lavirotte, Jean‐Yves Tigli, Guillaume Cotte, Franck Dechavanne · 2021 · Sensors
83. Unveiling MIMETIC: Interpreting Deep Learning Traffic Classifiers via XAI Techniques
    Alfredo Nascita, Antonio Montieri, Giuseppe Aceto, Domenico Ciuonzo, Valerio Persico, Antonio Pescapè · 2021 · IEEE International Conference on Cyber Security and Resilience (CSR)
84. AI business models and its impact on business strategic framework
    Shrutika Mishra, Priyanshu Mishra · 2023 · International Journal of Financial Engineering
85. Back to the Feature: A Neural-Symbolic Perspective on Explainable AI
    Andrea Campagner, Federico Cabitza · 2020 · Lecture notes in computer science
86. Enhancing traffic flow and congestion management in smart cities utilizing SVM-based linear regression approach
    Shahzada Atif Naveed, Umer Farooq, Muhammad Asan Raza, Zia Ur Rehman, Muhammad Aamir Saleem, Taher M. Ghazal · 2024 · International Journal of ADVANCED AND APPLIED SCIENCES
87. A Fuzzy Rule-based System using a Patch-based Approach for Semantic Segmentation in Floor Plans
    Hugo Leon-Garza, Hani Hagras, Anasol Peña-Ríos, Anthony Conway, Gilbert Owusu · 2021 · IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
88. Human Factors in Interactive Machine Learning: A Cybersecurity Case Study
    Mark Chignell, Mu-Huan Chung, Yuhong Yang, Greg Cento, Abhay Raman · 2021 · Proceedings of the Human Factors and Ergonomics Society Annual Meeting
89. Leveraging explainability for discussion forum classification: Using confusion detection as an example
    Hanxiang Du, Wanli Xing · 2023 · Distance Education
90. Human Factors in Privacy Research
    Nina Gerber, Alina Stöver, Karola Marky · 2023 · Springer eBooks
91. In Search of Trustworthy and Transparent Intelligent Systems With Human-Like Cognitive and Reasoning Capabilities
    Nikhil Ranjan Pal · 2020 · Frontiers in Robotics and AI
92. Affective Response Categories—Toward Personalized Reactions in Affect-Adaptive Tutoring Systems
    Alina Schmitz-Hübsch, Sophie-Marie Stasch, Ron Becker, Sven Fuchs, Maria Wirzberger · 2022 · Frontiers in Artificial Intelligence
93. Governance-Driven ML Infrastructure: Ensuring Compliance in AI Model Training
    Yasodhara Varma · 2020 · International Journal of Emerging Research in Engineering and Technology
94. Harnessing the integration of chat GPT in higher education: the evaluation of stakeholders sentiments using NLP techniques
    Abdulaziz Altamimi · 2024 · Discover Sustainability
95. Triaging Autonomous Drone Faults By Simultaneously Assuring Autonomy and Security
    Lanier A. Watkins, Denzel Hamilton, Kevin Kornegay, Aviel D. Rubin · 2021 · Conference on Information Sciences and Systems
96. Human knowledge models: Learning applied knowledge from the data
    Egor Dudyrev, Ilia Semenkov, Sergei O. Kuznetsov, Gleb Gusev, Andrew Sharp, Oleg S. Pianykh · 2022 · PLoS ONE
97. Policy Capturing to Support Pilot Decision-Making
    Alexandre Marois, Daniel Lafond, Amandine Audouy, Hugo Boronat, Patrick Mazoyer · 2023 · Aviation Psychology and Applied Human Factors
98. Complex dual hesitant fuzzy TODIM method and their application in Russia–Ukraine war’s impact on global economy
    Yi Liu, Muhammad Tariq, Saifullah Khan, Saleem Abdullah · 2023 · Complex & Intelligent Systems
99. Multilevel Explainable Artificial Intelligence: Visual and Linguistic Bonded Explanations
    Halil Ibrahim Aysel, Xiaohao Cai, Adam Prügel‐Bennett · 2023 · IEEE Transactions on Artificial Intelligence
100. Artificial Intelligence (AI) Ethics: A Critical Realist Emancipatory Approach
     Deepak Kumar Saxena, P. J. Wall, David Lewis · 2023 · IEEE International Symposium on Technology and Society (ISTAS)