Search results for "explanations"

Hits ?▲	Authors	Title	Venue	Year	Link
10	Abhijit Bhakte, Mangesh Chakane, Rajagopalan Srinivasan	Alarm-based explanations of process monitoring results from deep neural networks.	Comput. Chem. Eng.	2023	DBLP DOI BibTeX RDF
10	Finn Rietz, Sven Magg, Fredrik Heintz, Todor Stoyanov, Stefan Wermter, Johannes A. Stork	Hierarchical goals contextualize local reward decomposition explanations.	Neural Comput. Appl.	2023	DBLP DOI BibTeX RDF
10	Yun Liu, Jun Miyazaki	Knowledge-aware attentional neural network for review-based movie recommendation with explanations.	Neural Comput. Appl.	2023	DBLP DOI BibTeX RDF
10	Katharina Hoedt, Verena Praher, Arthur Flexer, Gerhard Widmer	Constructing adversarial examples to investigate the plausibility of explanations in deep audio and image classifiers.	Neural Comput. Appl.	2023	DBLP DOI BibTeX RDF
10	Akella S. Narasimha Raju, Kayalvizhi Jayavel, T. Rajalakshmi	An advanced diagnostic ColoRectalCADx utilises CNN and unsupervised visual explanations to discover malignancies.	Neural Comput. Appl.	2023	DBLP DOI BibTeX RDF
10	David Dandolo, Chiara Masiero, Mattia Carletti, Davide Dalle Pezze, Gian Antonio Susto	AcME - Accelerated model-agnostic explanations: Fast whitening of the machine-learning black box.	Expert Syst. Appl.	2023	DBLP DOI BibTeX RDF
10	Marcelo de Sousa Balbino, Luis Enrique Zárate Gálvez, Cristiane Neri Nobre	CSSE - An agnostic method of counterfactual, selected, and social explanations for classification models.	Expert Syst. Appl.	2023	DBLP DOI BibTeX RDF
10	Hao Xiao, Tongkun Lan, Bin Li, Sheng Su	Experimental Findings and Theoretical Explanations on Time-Varying Immunity of LCC-HVdc Inverters to Commutation Failure Caused by Sending End AC Faults.	IEEE Trans. Ind. Electron.	2023	DBLP DOI BibTeX RDF
10	Chacha Chen, Shi Feng, Amit Sharma 0007, Chenhao Tan	Machine Explanations and Human Understanding.	Trans. Mach. Learn. Res.	2023	DBLP BibTeX RDF
10	Ruoyu Chen 0001, Jingzhi Li 0002, Hua Zhang 0008, Changchong Sheng, Li Liu 0002, Xiaochun Cao	Sim2Word: Explaining Similarity with Representative Attribute Words via Counterfactual Explanations.	ACM Trans. Multim. Comput. Commun. Appl.	2023	DBLP DOI BibTeX RDF
10	Hosein Barzekar, Susan McRoy	Achievable Minimally-Contrastive Counterfactual Explanations.	Mach. Learn. Knowl. Extr.	2023	DBLP DOI BibTeX RDF
10	Robert S. Sullivan, Luca Longo	Explaining Deep Q-Learning Experience Replay with SHapley Additive exPlanations.	Mach. Learn. Knowl. Extr.	2023	DBLP DOI BibTeX RDF
10	Marcelo Arenas, Pablo Barceló, Leopoldo E. Bertossi, Mikaël Monet	On the Complexity of SHAP-Score-Based Explanations: Tractability via Knowledge Compilation and Non-Approximability Results.	J. Mach. Learn. Res.	2023	DBLP BibTeX RDF
10	Cynthia Rudin, Yaron Shaposhnik	Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application to Credit-Risk Evaluation.	J. Mach. Learn. Res.	2023	DBLP BibTeX RDF
10	Anna Hedström, Leander Weber, Daniel Krakowczyk, Dilyara Bareeva, Franz Motzkus, Wojciech Samek, Sebastian Lapuschkin, Marina M.-C. Höhne	Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond.	J. Mach. Learn. Res.	2023	DBLP BibTeX RDF
10	Seyed Mojtaba Marvasti-Zadeh, Devin Goodsman, Nilanjan Ray, Nadir Erbilgin	Crown-CAM: Interpretable Visual Explanations for Tree Crown Detection in Aerial Images.	IEEE Geosci. Remote. Sens. Lett.	2023	DBLP DOI BibTeX RDF
10	Nonita Sharma, Sachi Nandan Mohanty, Shalini Mahato, Chinmaya Ranjan Pattanaik	A novel dataset and local interpretable model-agnostic explanations (LIME) for monkeypox prediction.	Intell. Decis. Technol.	2023	DBLP DOI BibTeX RDF
10	Dongyu Jia, Liwei Yang, Xiaoqing Gao, Kaiming Li	Assessment of a New Solar Radiation Nowcasting Method Based on FY-4A Satellite Imagery, the McClear Model and SHapley Additive exPlanations (SHAP).	Remote. Sens.	2023	DBLP DOI BibTeX RDF
10	Helena Weith, Christian Matt 0001	Information provision measures for voice agent product recommendations - The effect of process explanations and process visualizations on fairness perceptions.	Electron. Mark.	2023	DBLP DOI BibTeX RDF
10	Iván Sevillano-García, Julián Luengo, Francisco Herrera	REVEL Framework to Measure Local Linear Explanations for Black-Box Models: Deep Learning Image Classification Case Study.	Int. J. Intell. Syst.	2023	DBLP DOI BibTeX RDF
10	Thanh Tam Nguyen, Thanh Cong Phan, Hien Thu Pham, Thanh Thi Nguyen 0001, Jun Jo, Quoc Viet Hung Nguyen	Example-based explanations for streaming fraud detection on graphs.	Inf. Sci.	2023	DBLP DOI BibTeX RDF
10	Tulika Kumari, Bhavna Gupta, Ravish Sharma, Punam Bedi	Empowering reciprocal recommender system using contextual bandits and argumentation based explanations.	World Wide Web (WWW)	2023	DBLP DOI BibTeX RDF
10	Ala Sarah Alaqra, Farzaneh Karegar, Simone Fischer-Hübner	Structural and functional explanations for informing lay and expert users: the case of functional encryption.	Proc. Priv. Enhancing Technol.	2023	DBLP DOI BibTeX RDF
10	Iyiola E. Olatunji, Mandeep Rathee, Thorben Funke, Megha Khosla	Private Graph Extraction via Feature Explanations.	Proc. Priv. Enhancing Technol.	2023	DBLP DOI BibTeX RDF
10	Klest Dedja, Felipe Kenji Nakano, Konstantinos Pliakos, Celine Vens	BELLATREX: Building Explanations Through a LocaLly AccuraTe Rule EXtractor.	IEEE Access	2023	DBLP DOI BibTeX RDF
10	Qiaoning Zhang, Connor Esterwood, Anuj K. Pradhan, Dawn M. Tilbury, X. Jessie Yang, Lionel P. Robert	The Impact of Modality, Technology Suspicion, and NDRT Engagement on the Effectiveness of AV Explanations.	IEEE Access	2023	DBLP DOI BibTeX RDF
10	Takafumi Nakanishi	Approximate Inverse Model Explanations (AIME): Unveiling Local and Global Insights in Machine Learning Models.	IEEE Access	2023	DBLP DOI BibTeX RDF
10	Suengbum Lim, Jingang Kim, Taejin Lee 0002	Shapelet-Based Sensor Fault Detection and Human-Centered Explanations in Industrial Control System.	IEEE Access	2023	DBLP DOI BibTeX RDF
10	Flávio Rosendo Da Silva Oliveira, Fernando Buarque de Lima Neto	Method to Produce More Reasonable Candidate Solutions With Explanations in Intelligent Decision Support Systems.	IEEE Access	2023	DBLP DOI BibTeX RDF
10	Boyu Zhang, Aleksandar Vakanski, Min Xian	BI-RADS-NET-V2: A Composite Multi-Task Neural Network for Computer-Aided Diagnosis of Breast Cancer in Ultrasound Images With Semantic and Quantitative Explanations.	IEEE Access	2023	DBLP DOI BibTeX RDF
10	Minsu Jeon, Taewoo Kim 0003, Seong-Hwan Kim 0002, Changha Lee, Chan-Hyun Youn	Recursive Visual Explanations Mediation Scheme Based on DropAttention Model With Multiple Episodes Pool.	IEEE Access	2023	DBLP DOI BibTeX RDF
10	Tien-Cuong Bui, Van-Duc Le, Wen-Syan Li	Generating Real-Time Explanations for GNNs via Multiple Specialty Learners and Online Knowledge Distillation.	IEEE Access	2023	DBLP DOI BibTeX RDF
10	Jeffrey W. Lockhart	Because the machine can discriminate: How machine learning serves and transforms biological explanations of human difference.	Big Data Soc.	2023	DBLP DOI BibTeX RDF
10	Maede Zolanvari, Zebo Yang, Khaled M. Khan, Raj Jain, Nader Meskin	TRUST XAI: Model-Agnostic Explanations for AI With a Case Study on IIoT Security.	IEEE Internet Things J.	2023	DBLP DOI BibTeX RDF
10	André Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer	Contrasting Explanations for Understanding and Regularizing Model Adaptations.	Neural Process. Lett.	2023	DBLP DOI BibTeX RDF
10	Min Hun Lee, Chong Jun Chew	Understanding the Effect of Counterfactual Explanations on Trust and Reliance on AI for Human-AI Collaborative Clinical Decision Making.	Proc. ACM Hum. Comput. Interact.	2023	DBLP DOI BibTeX RDF
10	Geoff Musick, Elizabeth S. Gilman, Wen Duan, Nathan J. McNeese, Bart P. Knijnenburg, Thomas A. O'Neill	Knowing Unknown Teammates: Exploring Anonymity and Explanations in a Teammate Information-Sharing Recommender System.	Proc. ACM Hum. Comput. Interact.	2023	DBLP DOI BibTeX RDF
10	Valerie Chen, Q. Vera Liao, Jennifer Wortman Vaughan, Gagan Bansal	Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations.	Proc. ACM Hum. Comput. Interact.	2023	DBLP DOI BibTeX RDF
10	Pranut Jain, Rosta Farzan, Adam J. Lee	Co-Designing with Users the Explanations for a Proactive Auto-Response Messaging Agent.	Proc. ACM Hum. Comput. Interact.	2023	DBLP DOI BibTeX RDF
10	Nanyi Bi, Yi-Ching Janet Huang, Chao-Chun Han, Jane Yung-jen Hsu	You Know What I Meme: Enhancing People's Understanding and Awareness of Hateful Memes Using Crowdsourced Explanations.	Proc. ACM Hum. Comput. Interact.	2023	DBLP DOI BibTeX RDF
10	Helena Vasconcelos, Matthew Jörke, Madeleine Grunde-McLaughlin, Tobias Gerstenberg, Michael S. Bernstein, Ranjay Krishna	Explanations Can Reduce Overreliance on AI Systems During Decision-Making.	Proc. ACM Hum. Comput. Interact.	2023	DBLP DOI BibTeX RDF
10	Vivian Lai, Yiming Zhang, Chacha Chen, Q. Vera Liao, Chenhao Tan	Selective Explanations: Leveraging Human Input to Align Explainable AI.	Proc. ACM Hum. Comput. Interact.	2023	DBLP DOI BibTeX RDF
10	Tong Steven Sun, Yuyang Gao, Shubham Khaladkar, Sijia Liu 0001, Liang Zhao 0002, Young-Ho Kim, Sungsoo Ray Hong	Designing a Direct Feedback Loop between Humans and Convolutional Neural Networks through Local Explanations.	Proc. ACM Hum. Comput. Interact.	2023	DBLP DOI BibTeX RDF
10	Shipra Madan, Santanu Chaudhury, Tapan Kumar Gandhi	Explainable few-shot learning with visual explanations on a low resource pneumonia dataset.	Pattern Recognit. Lett.	2023	DBLP DOI BibTeX RDF
10	Yaqi Yang, Yang Zhao, Yuan Cheng	PRIME: Posterior Reconstruction of the Input for Model Explanations.	Pattern Recognit. Lett.	2023	DBLP DOI BibTeX RDF
10	Aurora C. Schmidt, Christopher J. Cameron, Corey Lowman, Joshua Brulé, Amruta Deshpande, Seyyed A. Fatemi, Vladimir Barash, Ariel M. Greenberg, Cash J. Costello, Eli Sherman, Rohit Bhattacharya, Liz McQuillan, Alexander Perrone, Yanni Kouskoulas, Clay Fink, June Zhang, Ilya Shpitser, Michael W. Macy	Searching for explanations: testing social scientific methods in synthetic ground-truthed worlds.	Comput. Math. Organ. Theory	2023	DBLP DOI BibTeX RDF
10	Pramudita Satria Palar, Lavi Rizki Zuhal, Koji Shimoyama	Enhancing the explainability of regression-based polynomial chaos expansion by Shapley additive explanations.	Reliab. Eng. Syst. Saf.	2023	DBLP DOI BibTeX RDF
10	Piyawat Lertvittayakumjorn, Francesca Toni	Argumentative explanations for pattern-based text classifiers.	Argument Comput.	2023	DBLP DOI BibTeX RDF
10	Gwangbin Kim, Dohyeon Yeo, Taewoo Jo, Daniela Rus, Seungjun Kim 0001	What and When to Explain?: On-road Evaluation of Explanations in Highly Automated Vehicles.	Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.	2023	DBLP DOI BibTeX RDF
10	Zhouyuan Chen, Zhichao Lian, Zhe Xu	Interpretable Model-Agnostic Explanations Based on Feature Relationships for High-Performance Computing.	Axioms	2023	DBLP DOI BibTeX RDF
10	Johan Kwisthout	Motivating explanations in Bayesian networks using MAP-independence.	Int. J. Approx. Reason.	2023	DBLP DOI BibTeX RDF
10	Yacine Izza, Xuanxiang Huang, Alexey Ignatiev, Nina Narodytska, Martin C. Cooper, João Marques-Silva 0001	On computing probabilistic abductive explanations.	Int. J. Approx. Reason.	2023	DBLP DOI BibTeX RDF
10	Enrique Valero-Leal, Concha Bielza, Pedro Larrañaga, Silja Renooij	Efficient search for relevance explanations using MAP-independence in Bayesian networks.	Int. J. Approx. Reason.	2023	DBLP DOI BibTeX RDF
10	Adulam Jeyasothy, Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki	A general framework for personalising post hoc explanations through user knowledge integration.	Int. J. Approx. Reason.	2023	DBLP DOI BibTeX RDF
10	Adriano Lucieri, Andreas Dengel 0001, Sheraz Ahmed	Translating theory into practice: assessing the privacy implications of concept-based explanations for biomedical AI.	Frontiers Bioinform.	2023	DBLP DOI BibTeX RDF
10	Sagar Patel, Sangeetha Abdu Jyothi, Nina Narodytska	Towards Future-Based Explanations for Deep RL Network Controllers.	SIGMETRICS Perform. Evaluation Rev.	2023	DBLP DOI BibTeX RDF
10	Federico Castagna, Alexandra E. Garton, Peter McBurney, Simon Parsons, Isabel Sassoon, Elizabeth I. Sklar	EQRbot: A chatbot delivering EQR argument-based explanations.	Frontiers Artif. Intell.	2023	DBLP DOI BibTeX RDF
10	Emanuele Albini, Antonio Rago 0001, Pietro Baroni, Francesca Toni	Achieving descriptive accuracy in explanations via argumentation: The case of probabilistic classifiers.	Frontiers Artif. Intell.	2023	DBLP DOI BibTeX RDF
10	Stefano Teso, Öznur Alkan, Wolfgang Stammer, Elizabeth Daly	Leveraging explanations in interactive machine learning: An overview.	Frontiers Artif. Intell.	2023	DBLP DOI BibTeX RDF
10	Marco Virgolin, Saverio Fracaros	On the robustness of sparse counterfactual explanations to adverse perturbations.	Artif. Intell.	2023	DBLP DOI BibTeX RDF
10	Tzu-Yi Chiu, Jerome Le Ny, Jean-Pierre David	Temporal logic explanations for dynamic decision systems using anchors and Monte Carlo Tree Search.	Artif. Intell.	2023	DBLP DOI BibTeX RDF
10	Davide Gentile, Birsen Donmez, Greg A. Jamieson	Human performance consequences of normative and contrastive explanations: An experiment in machine learning for reliability maintenance.	Artif. Intell.	2023	DBLP DOI BibTeX RDF
10	Mor Vered, Tali Livni, Piers Douglas Lionel Howe, Tim Miller 0001, Liz Sonenberg	The effects of explanations on automation bias.	Artif. Intell.	2023	DBLP DOI BibTeX RDF
10	Yuchao Feng, Wei Hua, Yuxiang Sun	NLE-DM: Natural-Language Explanations for Decision Making of Autonomous Driving Based on Semantic Scene Understanding.	IEEE Trans. Intell. Transp. Syst.	2023	DBLP DOI BibTeX RDF
10	Shruthi Chari, Prasant Acharya, Daniel M. Gruen, Olivia Zhang, Elif K. Eyigöz, Mohamed F. Ghalwash, Oshani Seneviratne, Fernando J. Suarez Saiz, Pablo Meyer 0001, Prithwish Chakraborty, Deborah L. McGuinness	Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes.	Artif. Intell. Medicine	2023	DBLP DOI BibTeX RDF
10	Zhendong Wang, Isak Samsten, Vasiliki Kougia, Panagiotis Papapetrou	Style-transfer counterfactual explanations: An application to mortality prevention of ICU patients.	Artif. Intell. Medicine	2023	DBLP DOI BibTeX RDF
10	Enea Parimbelli, Tommaso Mario Buonocore, Giovanna Nicora, Wojtek Michalowski, Szymon Wilk, Riccardo Bellazzi	Why did AI get this one wrong? - Tree-based explanations of machine learning model predictions.	Artif. Intell. Medicine	2023	DBLP DOI BibTeX RDF
10	Amal Abdulrahman, Deborah Richards 0001, Ayse Aysin Bilgin	Changing users' health behaviour intentions through an embodied conversational agent delivering explanations based on users' beliefs and goals.	Behav. Inf. Technol.	2023	DBLP DOI BibTeX RDF
10	Erik Cambria, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani	A survey on XAI and natural language explanations.	Inf. Process. Manag.	2023	DBLP DOI BibTeX RDF
10	Bogdan Nicula, Mihai Dascalu, Tracy Arner, Renu Balyan, Danielle S. McNamara	Automated Assessment of Comprehension Strategies from Self-Explanations Using LLMs.	Inf.	2023	DBLP DOI BibTeX RDF
10	Mouadh Guesmi, Mohamed Amine Chatti, Shoeb Ahmed Joarder, Qurat Ul Ain, Clara Siepmann, Hoda Ghanbarzadeh, Rawaa Alatrash	Justification vs. Transparency: Why and How Visual Explanations in a Scientific Literature Recommender System.	Inf.	2023	DBLP DOI BibTeX RDF
10	Hongyu Lu, Weizhi Ma, Yifan Wang, Min Zhang 0006, Xiang Wang 0010, Yiqun Liu 0001, Tat-Seng Chua, Shaoping Ma	User Perception of Recommendation Explanation: Are Your Explanations What Users Need?	ACM Trans. Inf. Syst.	2023	DBLP DOI BibTeX RDF
10	Jurek Leonhardt, Koustav Rudra, Avishek Anand	Extractive Explanations for Interpretable Text Ranking.	ACM Trans. Inf. Syst.	2023	DBLP DOI BibTeX RDF
10	Adam White 0002, Kwun Ho Ngan, James Phelan, Kevin Ryan, Saman Sadeghi Afgeh, Constantino Carlos Reyes-Aldasoro, Artur S. d'Avila Garcez	Contrastive counterfactual visual explanations with overdetermination.	Mach. Learn.	2023	DBLP DOI BibTeX RDF
10	Sarah Tan, Giles Hooker, Paul Koch, Albert Gordo, Rich Caruana	Considerations when learning additive explanations for black-box models.	Mach. Learn.	2023	DBLP DOI BibTeX RDF
10	Xuhong Li 0002, Haoyi Xiong, Yi Liu, Dingfu Zhou, Zeyu Chen, Yaqing Wang, Dejing Dou	Distilling ensemble of explanations for weakly-supervised pre-training of image segmentation models.	Mach. Learn.	2023	DBLP DOI BibTeX RDF
10	Fabian Fumagalli, Maximilian Muschalik, Eyke Hüllermeier, Barbara Hammer	Incremental permutation feature importance (iPFI): towards online explanations on data streams.	Mach. Learn.	2023	DBLP DOI BibTeX RDF
10	Anton Björklund, Jarmo Mäkelä, Kai Puolamäki	SLISEMAP: supervised dimensionality reduction through local explanations.	Mach. Learn.	2023	DBLP DOI BibTeX RDF
10	Xuhong Li 0002, Haoyi Xiong, Siyu Huang, Shilei Ji, Dejing Dou	Cross-model consensus of explanations and beyond for image classification models: an empirical study.	Mach. Learn.	2023	DBLP DOI BibTeX RDF
10	André Artelt, Roel Visser, Barbara Hammer	"I do not know! but why?" - Local model-agnostic example-based explanations of reject.	Neurocomputing	2023	DBLP DOI BibTeX RDF
10	Jesus Antonanzas, Yunzhe Jia, Eibe Frank, Albert Bifet, Bernhard Pfahringer	teex: A toolbox for the evaluation of explanations.	Neurocomputing	2023	DBLP DOI BibTeX RDF
10	Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer	Model-based explanations of concept drift.	Neurocomputing	2023	DBLP DOI BibTeX RDF
10	Elvira Amador-Domínguez, Emilio Serrano, Daniel Manrique	GEnI: A framework for the generation of explanations and insights of knowledge graph embedding predictions.	Neurocomputing	2023	DBLP DOI BibTeX RDF
10	Sofie Goethals, Kenneth Sörensen, David Martens	The Privacy Issue of Counterfactual Explanations: Explanation Linkage Attacks.	ACM Trans. Intell. Syst. Technol.	2023	DBLP DOI BibTeX RDF
10	Tianxiang Zhao, Dongsheng Luo, Xiang Zhang 0001, Suhang Wang	Faithful and Consistent Graph Neural Network Explanations with Rationale Alignment.	ACM Trans. Intell. Syst. Technol.	2023	DBLP DOI BibTeX RDF
10	Lei Li 0042, Yongfeng Zhang, Li Chen 0009	On the Relationship between Explanation and Recommendation: Learning to Rank Explanations for Improved Performance.	ACM Trans. Intell. Syst. Technol.	2023	DBLP DOI BibTeX RDF
10	Mario Michelessa, Christophe Hurter, Brian Y. Lim, Jamie Ng Suat Ling, Bogdan Cautis, Carol Anne Hargreaves	Visual Explanations of Differentiable Greedy Model Predictions on the Influence Maximization Problem.	Big Data Cogn. Comput.	2023	DBLP DOI BibTeX RDF
10	Federico Maria Cau, Hanna Hauptmann, Lucio Davide Spano, Nava Tintarev	Effects of AI and Logic-Style Explanations on Users' Decisions Under Different Levels of Uncertainty.	ACM Trans. Interact. Intell. Syst.	2023	DBLP DOI BibTeX RDF
10	Ronal Singh, Tim Miller 0001, Henrietta Lyons, Liz Sonenberg, Eduardo Velloso, Frank Vetere, Piers Howe, Paul Dourish	Directive Explanations for Actionable Explainability in Machine Learning Applications.	ACM Trans. Interact. Intell. Syst.	2023	DBLP DOI BibTeX RDF
10	Benjamin Charles Germain Lee, Doug Downey, Kyle Lo, Daniel S. Weld	LIMEADE: From AI Explanations to Advice Taking.	ACM Trans. Interact. Intell. Syst.	2023	DBLP DOI BibTeX RDF
10	Retno Larasati, Anna De Liddo, Enrico Motta	Meaningful Explanation Effect on User's Trust in an AI Medical System: Designing Explanations for Non-Expert Users.	ACM Trans. Interact. Intell. Syst.	2023	DBLP DOI BibTeX RDF
10	Reduan Achtibat, Maximilian Dreyer, Ilona Eisenbraun, Sebastian Bosse, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin	From attribution maps to human-understandable explanations through Concept Relevance Propagation.	Nat. Mac. Intell.	2023	DBLP DOI BibTeX RDF
10	Thorben Funke, Megha Khosla, Mandeep Rathee, Avishek Anand	Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks.	IEEE Trans. Knowl. Data Eng.	2023	DBLP DOI BibTeX RDF
10	Qiang Huang, Makoto Yamada, Yuan Tian 0016, Dinesh Singh 0001, Yi Chang 0001	GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks.	IEEE Trans. Knowl. Data Eng.	2023	DBLP DOI BibTeX RDF
10	Rianne Conijn, Patricia Kahr, Chris C. P. Snijders	The Effects of Explanations in Automated Essay Scoring Systems on Student Trust and Motivation.	J. Learn. Anal.	2023	DBLP DOI BibTeX RDF
10	Avital Shulner-Tal, Tsvi Kuflik, Doron Kliger	Enhancing Fairness Perception - Towards Human-Centred AI and Personalized Explanations Understanding the Factors Influencing Laypeople's Fairness Perceptions of Algorithmic Decisions.	Int. J. Hum. Comput. Interact.	2023	DBLP DOI BibTeX RDF
10	Carolin Ebermann, Matthias Selisky, Stephan Weibelzahl	Explainable AI: The Effect of Contradictory Decisions and Explanations on Users' Acceptance of AI Systems.	Int. J. Hum. Comput. Interact.	2023	DBLP DOI BibTeX RDF
10	Asiful Arefeen, Hassan Ghasemzadeh 0001	Designing User-Centric Behavioral Interventions to Prevent Dysglycemia with Novel Counterfactual Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
10	Mohamed Amine Chatti, Mouadh Guesmi, Laura Vorgerd, Thao Ngo, Shoeb Ahmed Joarder, Qurat Ul Ain, Arham Muslim	Is More Always Better? The Effects of Personal Characteristics and Level of Detail on the Perception of Explanations in a Recommender System.	CoRR	2023	DBLP DOI BibTeX RDF
10	Yueqing Xuan, Edward Small, Kacper Sokol, Danula Hettiachchi, Mark Sanderson	Can Users Correctly Interpret Machine Learning Explanations and Simultaneously Identify Their Limitations?	CoRR	2023	DBLP DOI BibTeX RDF