Explainable artificial intelligence: an analytical review
Angelov, Plamen P., Soares, Eduardo A., Jiang, Richard, Arnold, Nicholas I., Atkinson, Peter M.·2021·WIREs Data Mining and Knowledge Discovery
Cited by (844)
Items 601–700 of 844
- Goals and Stakeholder Involvement in XAI for Remote Sensing: A Structured Literature ReviewCarolin Leluschko, Christoph Tholen · 2023 · Lecture notes in computer science
- A peek inside two black boxes-an experiment with explainable artificial intelligence and IPCC leadershipTobias Blanke, Tommaso Venturini, Kari De Pryck · 2023 · International Journal of Digital Humanities
- Tedarik Zinciri Bakış Açısıyla Şirketlerin Yeşil Aklama ile Başa Çıkma StratejileriÇiğdem Sofyalıoğlu, Burak Kartal · 2023 · Özgür Yayınları eBooks
- Explainable Robust Smart Meter Data Clustering for Improved Energy ManagementHussein Al–Bazzaz, Muhammad Azam, Manar Amayri, Nizar Bouguila · 2023 · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics
- Key Factors that Negatively Affect Performance of Imitation Learning for Autonomous DrivingEstiko Rijanto, Nelson Changgraini, Roni Permana Saputra, Zainal Abidin · 2024 · Journal of Robotics and Control (JRC)
- FLocalX - Local to Global Fuzzy Explanations for Black Box ClassifiersGuillermo Fernández, Riccardo Guidotti, Fosca Giannotti, Mattia Setzu, Juan A. Aledo, José Antonio Gámez, Jose Miguel Puerta · 2024 · Lecture notes in computer science
- On comparing multiple approaches for classifying vessels in imageryJohn G. Warner, Vishal Nainesh Patel · 2024 · Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications
- Explainable AI techniques used in healthcareAmrita Ticku, Reeba Qureshi, Sriti Jha, Vaijayanthi Sambath Kumar · 2024 · AIP conference proceedings
- Explainable Deep Learning Approaches to Defective Tire DetectionMiriam Nanteza, Nabwire Babra Kilo, Daudi Jjingo, Ggaliwango Marvin · 2024 · Information systems engineering and management
- Advancing Human-centric Management through AI-enhanced Recruitment and SelectionGabriela Strzelec · 2024 · Wroclaw University of Economics and Business eBooks
- Trustworthy Artificial Intelligence for Industrial Operations and Manufacturing: Principles and ChallengesMd Alamgir Kabir, M. M. Manjurul Islam, Narayan Ranjan Chakraborty, Sheak Rashed Haider Noori · 2025 · Springer series in advanced manufacturing
- Retracted: Data Analytics for Decision Support Systems in Techno-Driven EnterprisesRakshitha Rakshitha, S. Baghavathi Priya, Asmita Namjoshi, Mahesh Mane, Irshadullah Asim Mohammed, Rashmitha Shettigar · 2025 · International Conference on Advances in Computer Science, Electrical, Electronics, and Communication Technologies (CE2CT) · Retracted
- Deciphering Genomic Complexity: The Role of Explainable AI in Evolutionary GenomicsSebastian Alvarez-Costes · 2025 · Methods in molecular biology
- Explainable AI (XAI) in Social IntelligenceDong Wang, Lanyu Shang, Yang Zhang · 2025 · Springer eBooks
- Transforming Sign Language into Emotion-Enhanced Speech with Machine LearningAshwini Bhosale, Laxmi Patil, Gitanjali Netake, Sakshi Surwase, Rutuja Gade, Prema Bhushan Sahane · 2025 · Lecture notes in networks and systems
- X-SHIELD: Regularization for explainable Artificial IntelligenceIván Sevillano-García, Julián Luengo, Francisco Herrera · 2026 · Machine Intelligence Research
- Explaining Deep Neural Networks in medical imaging contextZakaria Rguibi, Abdelmajid Hajami, Dya Zitouni · 2021 · IEEE/ACS International Conference on Computer Systems and Applications (AICCSA)
- A precise inversion method of cable joint core temperature with non-embedded detection based on UMAP and ISSA-BPNNTian Wu, Zhu Hesheng, Zhan Qinghua, Wang Nanji · 2022 · Frontiers in Energy Research
- An Overview of Enhancing Encryption Standards for Multimedia in Explainable Artificial Intelligence Using Residue Number Systems for SecurityAkeem Femi Kadri, Micheal Olaolu Arowolo, Ayisat Wuraola Yusuf-Asaju, Kafayat Odunayo Tajudeen, Kazeem Alagbe Gbolagade · 2022
- Learning Equivariant Object Recognition and its Reverse Application to ImageryFlorentine Klepel, Rainer Goebel · 2023 · bioRxiv (Cold Spring Harbor Laboratory)
- Künstliche Intelligenz - Verstehbarkeit & Transparenz (AK13)ITA Walter Peissl, ITA Titus Udrea, Daniela Fuchs · 2023
- Image Representation of Domain Names and Convolutional Neural Networks for Detecting Data ExfiltrationGhebrebrhan Weldit Gebrehans, Ernesto Damiani, Chan Yeob Yeun · 2023 · SSRN Electronic Journal
- Application of Attention and Graph Transformer-Based Approaches for RNA Biomarker Discovery in Metabolically-Associated Fatty Liver Disease (MAFL/NASH)Aashish Cheruvu, Daniel Zezulinski, Aejaz Sayeed · 2023 · bioRxiv (Cold Spring Harbor Laboratory)
- Artificial Intelligence as a Tool in Floriculture ResearchAntônio Rodrigues da Cunha Neto · 2023 · Ornamental Horticulture
- Explainable Artificial Intelligence: Current Trends and Future Directions Using Bibliometric AnalysisRohan Kumar Sinha, Pradeep Kumar · 2024 · SSRN Electronic Journal
- Unraveling the drivers of leptospirosis risk in Thailand using machine learningPikkanet Suttirat, Sudarat Chadsuthi, Charin Modchang, Joacim Rocklöv · 2025 · medRxiv
- Recent advances in formal explainabilityXuanxiang Huang · 2023 · theses.fr (ABES)
- Explainable Artificial Intelligence for Industrial Cybersecurity: A Review of Methods, Operational Integration, and Research ChallengesMohamed, Amr S., Fritz, Charlotte, Saber, Ahmad Mohammad, Ma, Yiqun, Kaur, Ratinder, Al-Darwbi, Mohammed, Friedrich, Daniela, Kundur, Deepa · 2026 · arXiv
- Self-explanatory neural models, part 2Zakaria Rguibi, Abdelmajid Hajami, Dya Zitouni · 2021 · MOL2NET International Conference on Multidisciplinary Sciences (MOL2NET)
- Explaining Deep Neural Networks in medical imaging context.Zakaria Rguibi, Abdelmajid Hajami, Dya Zitouni · 2021 · MOL2NET International Conference on Multidisciplinary Sciences (MOL2NET)
- Assessment and Optimization of the Interpretability of Machine Learning Models Applied to Transcriptomic DataYongbing Zhao, Jinfeng Shao, Yan W. Asmann · 2022 · bioRxiv (Cold Spring Harbor Laboratory)
- From black box to glass box: algorithmic explainability as a strategic decisionAdrien Raizonville, Xavier Lambin · 2021 · SSRN Electronic Journal
- A protocol to evaluate unsupervised text clustering to screen and categorize studies in systematic reviewsAshley Elizabeth Muller, Heather Melanie R Ames, Tiril Cecilie Borge, Christine Hillestad Hestevik, Jose Francisco Meneses-Echavez, Christopher James Rose · 2022 · Research Square
- Automatische Bildanalyse und künstliche Intelligenz in der NephropathologieRoman David Bülow, David Laurin Hölscher, Peter Boor · 2022 · Die Nephrologie
- Introduction to XAI and Clinical Decision SupportThomas M Connolly, Mario Soflano, Petros Papadopoulos · 2022 · Advances in medical technologies and clinical practice book series
- Classification-Detection of Medical Images by Visualizing Hidden-Layer Features of a Deep Learning ApproachZiyu Tong, Xing Deng, Haijian Shao, Xia Wang · 2022 · Lecture notes in electrical engineering
- Explanation models as a component of the intelligent computer-aided diagnosis systems in medicine: a brief reviewLev Vladimirovich Utkin, J. Y. Krylova, Andrei V. Konstantinov · 2023 · Russian Journal for Personalized Medicine
- Prediction of Auto Insurance Risk Based on t-SNE Dimensionality ReductionJoseph Levitas, Konstantin Yavilberg, Oleg Korol, Genadi Man · 2022 · Advances in Artificial Intelligence and Machine Learning
- Block size, parallelism and predictive performance: finding the sweet spot in distributed learningFilipe Oliveira, Davide Rua Carneiro, Miguel Guimarães, Óscar Oliveira, Paulo Nováis · 2023 · International Journal of Parallel Emergent and Distributed Systems
- Challenges and future work directions in artificial intelligence with human-computer interactionMahesh H. Panchal, Shailesh Panchal · 2023 · Elsevier eBooks
- Contextual Shift Method (CSM)Gernot Schmitz, Daniel Wilmes, Alexander Gerharz, Daniel Horn, Emmanuel Müller · 2023 · Lecture notes in computer science
- Convolutional neural networks from the perspective of the problems of multivalued logicYelizaveta Sergeevna Vitulyova, Dinara Matrassulova, Ibragim Esenovich Suleimenov, Akhat Serikuly Bakirov · 2023 · Research Square
- Intellectual Structure of Explainable Artificial Intelligence: A Bibliometric Reference to Research ConstituentsY-H. Chen, Chetan Sharma, Shamneesh Sharma, Komal Sharma, Ganesh Kumar Sethi · 2023 · Research Square
- Contextual Challenges to Explainable Driving Automation: The Case of Machine PerceptionMatteo Matteucci, Simone Mentasti, Viola Schiaffonati, Fabio Fossa · 2023 · Studies in applied philosophy, epistemology and rational ethics
- Pattern Classification with Holographic Neural Networks: A New Tool for Feature SelectionLuis Diago, Hiroe ABE, Atsushi Minamihata, Ichiro Hagiwara · 2023 · Studies in big data
- A Short Review on XAI Techniques in Text DataMahuya Ghosh, Amit Kumar Das, Amlan Chakrabarti · 2023 · Lecture notes in electrical engineering
- A Mini Review: Harnessing Artificial Intelligence for a Sustainable and Competitive Pulp and Paper IndustryMustafa Çiçekler, Ahmet Tutuş · 2023 · International Conference on Recent Academic Studies
- Psychological Review of the Effectiveness of Ethical Risk-Based Technological Science Communication Based on Protection Motivation Theory煜晖 徐 · 2023 · Advances in Psychology
- WITHDRAWN: A trustworthy decision-making algorithm based on vote trees of random forest for abdominal aortic aneurysm diagnosticSong Chen, Yan Liang, Hai Liao, Chuan-jun Liao · 2023 · Journal of Electronic Science and Technology · Retracted
- MinimalAI: Brain Hemorrhage Detection in Images Through Minimalist Machine Learning ApproachJosé-Luis Solorio-Ramírez · 2023 · Lecture notes in computer science
- INTELIGÊNCIA ARTIFICIAL APLICADA À CIÊNCIA FLORESTALRichardson Barbosa Gomes da Silva, Rodrigo de Oliveira Almeida, Danilo Simões, Marcelo Scantamburlo Denadai, Heitor Scaramussa Dallapiccola, Leonardo José Silva da Costa, Maicon dos Santos da Silva, André Lucas Sousa da Silva, Paloma Trevisan Pandolfo, Taíse Conceição Rodrigues · 2023 · Editora Científica Digital eBooks
- Ciência da Computação avanços e tendências em pesquisaMartins, Ernane Rosa · 2023 · Editora Científica Digital eBooks
- Sustainable Brand Management: A Forward-Looking Perspective in The Business WorldEsra Özkan Pir · 2023 · Özgür Yayınları eBooks
- Dijital Dönüşümde Haberleşme İnovasyonuPaşa Gültaş, Mustafa Gültaş · 2023 · Özgür Yayınları eBooks
- Marka BağımlılığıDora Uzkesici · 2023 · Özgür Yayınları eBooks
- Dijitalleşme ve Pazarlama AraştırmalarıEmrah Sıtkı Yılmaz, Dora Uzkesici, Çiğdem Sofyalıoğlu, Burak Kartal, Mert Aktaş, Sinan Çavuşoğlu, Hüseyin Fatih Atlı, Esra Özkan Pir, Aytaç Erdem, Mustafa Gültaş et al. · 2023 · Özgür Yayınları eBooks
- Algorithmen entscheidenAlexander Karl, Elisabeth Ried-Wöhrle · 2023 · Springer eBooks
- Interpreting CNN in Structural Vision TasksKhalid M. Mosalam, Yuqing Gao · 2024 · Synthesis lectures on mechanical engineering
- Models with Verbally Enunciated Explanations: Towards Safe, Accountable, and Trustworthy Artificial IntelligenceMattias Wahde · 2024 · International Conference on Agents and Artificial Intelligence (ICAART)
- Explaining Go: Challenges in Achieving Explainability in AI Go ProgramsZack Garrett · 2023 · Journal of Go Studies
- Relative Relations in Biomedical Data ClassificationMarcin Czajkowski · 2023 · IGI Global eBooks
- The Linguistic Feature Relation Analysis of Premise and Hypothesis for Interpreting Nature Language InferenceXinyu Chen, Lin Li, Mengjing Zhang, Rui Zhang · 2024 · Human-Centric Intelligent Systems
- Unveiling Equity: Exploring Feature Dependency using Complex-Valued Neural Networks and Attention Mechanism for Fair Data AnalysisXuting Tang, Mengjiao Zhang, Abdul Rafae Khan, Steve Y. Yang, Jia Xu · 2023 · IEEE International Conference on Cloud Networking
- SignSense: AI Framework for Sign Language RecognitionProf. V. M. Dilpak, Rewa S. Joshi, Harshada K. Sonje · 2024 · International Journal of Advanced Research in Science Communication and Technology
- Machine learning attacks and defenses for vehicular cyber physical systemsAlondra Rodriguez, Lance Richard, Dawn Johnson, Atul Rawal · 2024 · Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications
- Enhancing Urban Environments Through Advanced Predictive Modeling: A Study on Sky View Factor and VisibilityPegah Eshraghi, Arman Nikkhah Dehnavi, Maedeh Sadat Mirdamadi, Riccardo Talami, Zahra Sadat Zomorodian · 2024 · SSRN Electronic Journal
- Explainable AI in Machine Learning Regression: Creating Transparency of a Regression ModelRobbie T. Nakatsu · 2024 · Lecture notes in computer science
- Developing Meaningful Explanations for Machine Learning Models in the Telecom DomainHenry Maathuis · 2024 · Frontiers in artificial intelligence and applications
- Research and Application Exploration of Image Processing and Visual Communication Technology Based on Artificial IntelligenceXiaona Wang · 2024 · International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)
- Trustworthy AI: Deciding What to DecideCaesar Wu, Yuan-Fang Li, Jian Li, Jingjing Xu, Pascal Bouvry · 2024 · Lecture notes in networks and systems
- Futuro do ensino superior frente aos desafios da Inteligência Artificial: uma revisão bibliográficaEdney Costa Souza, Alice Munz Fernandes, Gleimíria Batista da Costa Matos, Odilene de Souza Teixeira, Alessandro Lubiana · 2024 · Revista de Gestão e Secretariado (Management and Administrative Professional Review)
- Love Is in the AI of the BeholderArtificial Intelligence and Characters of LoveRenata Elizabetta Ntelia · 2024 · E-rea
- Time management and absenteeism: studying the students through machine learningSantiago Porras, Athénaïs Marianne Sauvée, Julio César Puche Regaliza, Silvia Casado Yusta, Paula Antón Maraña, Joaquı́n Pacheco · 2024 · International Conference on Higher Education Advances (HEAd)
- TopSearch: a Python package for topographical analysis of machine learning models and physical systemsLuke Dicks, Edward O. Pyzer‐Knapp · 2024 · The Journal of Open Source Software
- Cluster-Specific Rule Mining for Argumentation-Based ClassificationJonas Klein, Isabelle Kuhlmann, Matthias Thimm · 2024 · Lecture notes in computer science
- Enhancing Customer Risk-Adjusted Revenue Prediction in P2p Lending Through Information Extraction from Text Data: A Comparative Study of Individual and Hybrid Machine Learning ApproachesMarcos Machado, Salma Karray · 2024 · SSRN Electronic Journal
- A User Study on the Utility of Context-Aware Explanations for Assisting Data Scientists in Error Analysis of Fuzzy Decision TreesGuillermo Fernández, José Antonio Gámez, Jose Miguel Puerta, Juan A. Aledo, José M. Alonso, Alberto Bugarín · 2024 · IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
- Computationally Efficient Implicit Training Strategy for Unrolled Networks (IMUNNE): A Preliminary Analysis Using Accelerated Real-Time Cardiac Cine MRIН. М. Яковлев, Florian Schiffers, Santiago L. Tapia, Daming Shen, Kyungpyo Hong, Michael Markl, Daniel C. Lee, Aggelos K. Katsaggelos, Daniel J. Kim · 2024 · IEEE Transactions on Biomedical Engineering
- Inteligencia Artificial: Hacia un Nuevo Paradigma en MedicinaAdalgisa Esther Alcocer-Olaciregui, Pedro Llinás Burgos, Gabriela Lucia Lara Barreto, Camila Morales-Beleño, Sergio Ochoa Andrade · 2024 · Ciencia Latina Revista Científica Multidisciplinar
- Transformation from manual to digital: Artificial Intelligence in batik education for 5.0 societyFarid Abdullah, Suhaila Bt. Basar, Dewi M. Sya’bany, Aneeza Mohd. Adnan · 2024 · SHS Web of Conferences
- KI zwischen Blackbox und TransparenzMarco Schmitt, Christoph Heckwolf · 2024 · Digitale Soziologie
- Artificial Intelligence in Healthcare: Considerations for Adoption and Adaptation in Academic Medical SettingsJacob A. Gould, Stanislaw P. Stawicki, Ryan Yimeng Lee, Anna Ng-Pellegrino · 2024 · Artificial intelligence
- Explainable AI in business: Trends & future scopeSwati Sharma · 2024 · AIP conference proceedings
- Acute kidney injury: Diagnosis, causes, and latest treatments- An updated review articleSahar Adi Albogamy, Ahmad Alanazi, Hussain Mahdi Aljawad, Hala Abdulaziz Alzuhair, Mohammad Aljehani, Alaa Saud K Alanazi, Mohammed Saad Ali Al-Harbi, Fouad Hamed Alamri · 2022 · International Journal of Health Sciences
- Explainability Enhanced Machine Learning Model for Classifying Intellectual Disability and Attention-Deficit/Hyperactivity Disorder With Psychological Test ReportsTong Min Kim, Young-Hoon Kim, Sung‐Hee Song, In Young Choi, Dai‐Jin Kim, Taehoon Ko · 2024 · Journal of Korean Medical Science
- Demystifying Market Dynamics: Utilising STM and Explainable AI for Stock AnalysisVibha, Varun Rajivbhai Kotak, Sparsh Nigam, T S Sangeetha, Chetana Pujari · 2024 · International Conference on Innovation and Novelty in Engineering and Technology (INNOVA)
- Assessing Explainable in Artificial Intelligence: A TOPSIS Approach to Decision-Making2025 · REST Journal on Data Analytics and Artificial Intelligence
- “Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models”Nathaniel K. Newlands, Vyacheslav Lyubchich · 2025 · Environmetrics
- Can ECT and rTMS Finally Help Us Trust in Precision Psychiatry?Robert M. Lundin · 2025 · Acta Psychiatrica Scandinavica
- Classify Chronic WoundsSaurav Sarkar, Soma Das, Ananya Chanda, Sayan Biswas · 2025 · Wiley eBooks
- Artificial Intelligence for Big Data in Modern Marketing: A Review about Trends, Applications, and Challenges.Chantal Uwimana, Clemence Niyigena, Gedeon Nshutiyimana, Epiphanie Umutoniwase · 2025 · International Journal of Latest Technology in Engineering Management & Applied Science
- MEHAK: Explainable AI Classifier for COVID-19 Early Detection Based on LIMEMehak Rana, Majid Hussain, Uzair Saeed · 2025 · Communications in computer and information science
- Artificial Intelligence Enhanced Mental Care Platform SAARTHIVijayashree Raghuwanshi, Nawtej Gaikwad, Vijaya Bharti, Vaibhav Bhargava · 2025 · IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS)
- Challenges and Future Perspectives in Explainable AI A Roadmap for New ScholarsChumki Sil, Papri Ghosh, Subhram Das, Md Ashifuddin Mondal · 2025 · International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC)
- Deep Learning for Planning and Control in Autonomous VehiclesJingyuan Zhao, Andrew F. Burke · 2025 · IntechOpen eBooks
- Using sanity checks in deep neural networks predictionsZahraa Jabbar Alboaridhee, Hayder Sabah Salih, Salam Al-Augby, Mohammed Hasan Ali, Ahmad Mohamad Ghandour · 2025 · AIP conference proceedings
- Princípios Internacionais de Inteligência ArtificialCarlos Bruno Ferreira da Silva · 2024 · Revista da Escola Superior do Ministério Público da União
- Unveiling explainable artificial intelligence (XAI) in advancing precision medicine: An overviewArpita Nayak, Ipseeta Satpathy, Vishal Kumar Jain · 2025 · Elsevier eBooks
- MI-ConGR-At: A Hybrid Spatio-temporal Deep Learning Approach for Traffic Data ClassificationMudasir Ali Lone, Nadeem Akhtar · 2025 · IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)
- AI Governance in Academia: Guidelines for Generative AIClayton Peterson, M. Deschênes · 2025 · Proceedings of the ... International Florida Artificial Intelligence Research Society Conference