Search results for "explanations"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
16	Jürgen Dix, Karl Schlechta	Explaining Updates by Minimal Sums.	FSTTCS	1999	DBLP DOI BibTeX RDF
16	Martin Mühlenbrock, Katharina Morik	Rekonstruktion von Theorieübergängen: Tag/Nachtzyklus-Erklärungen von Kindern verschiedener Altersgruppen.	Kognitionswissenschaft	1998	DBLP DOI BibTeX RDF
16	Michael Minock, Wesley W. Chu	Explanation for Cooperative Information Systems.	ISMIS	1996	DBLP DOI BibTeX RDF	Approximate Answers, CoBase, Explanation, Knowledge Integration, Intelligent Information Systems, Dialogue Management, Cooperative Information Systems
16	Kurt Schneider	Prototypes as Assets, not Toys: Why and How to Extract Knowledge from Prototypes.	ICSE	1996	DBLP BibTeX RDF	executable knowledge representations, explanation monitoring, hyperstructured information base, implementation tricks, personal prototyping environments, experiences, knowledge, concepts, software prototypes, software prototyping, computer applications, system monitoring
16	Thomas Eiter, Georg Gottlob	The Complexity of Logic-Based Abduction.	J. ACM	1995	DBLP DOI BibTeX RDF	diagnosis, reasoning, abduction, complexity analysis, propositional logic
16	Chidanand Apté, Raguram Sasisekharan, V. Seshadri, Sholom M. Weiss	Case studies in high-dimensional classification.	Appl. Intell.	1994	DBLP DOI BibTeX RDF	High-dimensional classification, disk drive manufacturing, communications network, quality control, learning techniques
16	Thomas Eiter, Georg Gottlob	The Complexity of Logic-Based Abduction.	STACS	1993	DBLP DOI BibTeX RDF
16	Tarun Arora, Raghu Ramakrishnan 0001, William G. Roth, Praveen Seshadri, Divesh Srivastava	Explaining Program Execution in Deductive Systems.	DOOD	1993	DBLP DOI BibTeX RDF
16	Vibhu O. Mittal	Generating analogical natural language object descriptions.	ACM Southeast Regional Conference	1992	DBLP DOI BibTeX RDF
16	Jon Sticklen, William Bond	Functional Reasoning and Functional Modelling.	IEEE Expert	1991	DBLP DOI BibTeX RDF
16	Joseph A. Wald, Paul G. Sorenson	Explaining Ambiguity in a Formal Query Language.	ACM Trans. Database Syst.	1990	DBLP DOI BibTeX RDF
16	Muralidhar Sitaram, George W. Ernst, John Marcuse	Knowledge based system to diagnose faults in discrete event systems.	IEA/AIE (1)	1989	DBLP DOI BibTeX RDF
16	Joseph L. Bates, Robert L. Constable	Proofs as Programs.	ACM Trans. Program. Lang. Syst.	1985	DBLP DOI BibTeX RDF	PRL
10	Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso	Model-contrastive explanations through symbolic reasoning.	Decis. Support Syst.	2024	DBLP DOI BibTeX RDF
10	Brittany Davis Pierson, Dustin Arendt, John Miller, Matthew E. Taylor	Comparing explanations in RL.	Neural Comput. Appl.	2024	DBLP DOI BibTeX RDF
10	Emilio Carrizosa, Jasone Ramírez-Ayerbe, Dolores Romero Morales	Generating collective counterfactual explanations in score-based classification via mathematical optimization.	Expert Syst. Appl.	2024	DBLP DOI BibTeX RDF
10	Zijie Huang 0001, Huiqun Yu, Guisheng Fan, Zhiqing Shao, Mingchen Li, Yuguo Liang	Aligning XAI explanations with software developers' expectations: A case study with code smell prioritization.	Expert Syst. Appl.	2024	DBLP DOI BibTeX RDF
10	Mailson Ribeiro Santos, Affonso Guedes, Ignacio Sánchez-Gendriz	SHapley Additive exPlanations (SHAP) for Efficient Feature Selection in Rolling Bearing Fault Diagnosis.	Mach. Learn. Knowl. Extr.	2024	DBLP DOI BibTeX RDF
10	Javier Del Ser, Alejandro Barredo Arrieta, Natalia Díaz Rodríguez, Francisco Herrera, Anna Saranti, Andreas Holzinger	On generating trustworthy counterfactual explanations.	Inf. Sci.	2024	DBLP DOI BibTeX RDF
10	Jinyin Chen, Guohan Huang, Haibin Zheng, Hang Du, Jian Zhang 0023	Robust explanations for graph neural network with neuron explanation component.	Inf. Sci.	2024	DBLP DOI BibTeX RDF
10	Varun Dogra, Sahil Verma, Kavita, Marcin Wozniak, Jana Shafi, Muhammad Fazal Ijaz	Shortcut Learning Explanations for Deep Natural Language Processing: A Survey on Dataset Biases.	IEEE Access	2024	DBLP DOI BibTeX RDF
10	David Casacuberta, Ariel Guersenzvaig, Cristian Moyano-Fernández	Justificatory explanations in machine learning: for increased transparency through documenting how key concepts drive and underpin design and engineering decisions.	AI Soc.	2024	DBLP DOI BibTeX RDF
10	Xinying Zhu, Linhu Liu	Diverse image search with explanations.	Multim. Tools Appl.	2024	DBLP DOI BibTeX RDF
10	Pratiyush Guleria, Parvathaneni Naga Srinivasu, M. Hassaballah 0001	Diabetes prediction using Shapley additive explanations and DSaaS over machine learning classifiers: a novel healthcare paradigm.	Multim. Tools Appl.	2024	DBLP DOI BibTeX RDF
10	Timotheus Kampik, Kristijonas Cyras, José Ruiz Alarcón	Change in quantitative bipolar argumentation: Sufficient, necessary, and counterfactual explanations.	Int. J. Approx. Reason.	2024	DBLP DOI BibTeX RDF
10	SeyedehRoksana Mirzaei, Hua Mao, Raid Rafi Omar Al-Nima, Wai Lok Woo	Explainable AI Evaluation: A Top-Down Approach for Selecting Optimal Explanations for Black Box Models.	Inf.	2024	DBLP DOI BibTeX RDF
10	Sofie Goethals, David Martens, Toon Calders	PreCoF: counterfactual explanations for fairness.	Mach. Learn.	2024	DBLP DOI BibTeX RDF
10	Niloofar Ranjbar, Saeedeh Momtazi, MohammadMehdi Homayoonpour	Explaining recommendation system using counterfactual textual explanations.	Mach. Learn.	2024	DBLP DOI BibTeX RDF
10	Weronika Hryniewska, Adrianna Grudzien, Przemyslaw Biecek	LIMEcraft: handcrafted superpixel selection and inspection for Visual eXplanations.	Mach. Learn.	2024	DBLP DOI BibTeX RDF
10	Siddharth Mehrotra, Carolina Centeio Jorge, Catholijn M. Jonker, Myrthe L. Tielman	Integrity-based Explanations for Fostering Appropriate Trust in AI Agents.	ACM Trans. Interact. Intell. Syst.	2024	DBLP DOI BibTeX RDF
10	Leo Yu-Ho Lo, Yifan Cao, Leni Yang, Huamin Qu	Why Change My Design: Explaining Poorly Constructed Visualization Designs with Explorable Explanations.	IEEE Trans. Vis. Comput. Graph.	2024	DBLP DOI BibTeX RDF
10	Jianing Hao, Qing Shi, Yilin Ye, Wei Zeng 0004	: Diagnosing Time Representations for Time-Series Forecasting with Counterfactual Explanations.	IEEE Trans. Vis. Comput. Graph.	2024	DBLP DOI BibTeX RDF
10	Yanshan Li, Huajie Liang, Rui Yu	BI-CAM: Generating Explanations for Deep Neural Networks Using Bipolar Information.	IEEE Trans. Multim.	2024	DBLP DOI BibTeX RDF
10	Vedant Bahel, Harshinee Sriram, Cristina Conati	Personalizing explanations of AI-driven hints to users' cognitive abilities: an empirical evaluation.	CoRR	2024	DBLP DOI BibTeX RDF
10	Yiyang Sun, Zhi Chen 0009, Vittorio Orlandi, Tong Wang 0011, Cynthia Rudin	Sparse and Faithful Explanations Without Sparse Models.	CoRR	2024	DBLP DOI BibTeX RDF
10	Qi Huang, Wei Chen 0072, Thomas Bäck, Niki van Stein	Shapelet-based Model-agnostic Counterfactual Local Explanations for Time Series Classification.	CoRR	2024	DBLP DOI BibTeX RDF
10	Han Yuan, Chuan Hong, Pengtao Jiang, Gangming Zhao, Nguyen Tuan Anh Tran, Xinxing Xu, Yet Yen Yan, Nan Liu 0003	Clinical Domain Knowledge-Derived Template Improves Post Hoc AI Explanations in Pneumothorax Classification.	CoRR	2024	DBLP DOI BibTeX RDF
10	Saugat Aryal, Mark T. Keane	Even-Ifs From If-Onlys: Are the Best Semi-Factual Explanations Found Using Counterfactuals As Guides?	CoRR	2024	DBLP DOI BibTeX RDF
10	Benjamin Kraske, Zakariya Laouar, Zachary Sunberg	Leveraging Counterfactual Paths for Contrastive Explanations of POMDP Policies.	CoRR	2024	DBLP DOI BibTeX RDF
10	Kyungha Kim, Sangyun Lee, Kung-Hsiang Huang, Hou Pong Chan, Manling Li, Heng Ji	Can LLMs Produce Faithful Explanations For Fact-checking? Towards Faithful Explainable Fact-Checking via Multi-Agent Debate.	CoRR	2024	DBLP DOI BibTeX RDF
10	Zhili Feng, Michal Moshkovitz, Dotan Di Castro, J. Zico Kolter	An Axiomatic Approach to Model-Agnostic Concept Explanations.	CoRR	2024	DBLP DOI BibTeX RDF
10	Mohamad Ballout, Ulf Krumnack, Gunther Heidemann, Kai-Uwe Kühnberger	Show Me How It's Done: The Role of Explanations in Fine-Tuning Language Models.	CoRR	2024	DBLP DOI BibTeX RDF
10	Selahattin Akkas, Ariful Azad	GNNShap: Fast and Accurate GNN Explanations using Shapley Values.	CoRR	2024	DBLP DOI BibTeX RDF
10	Lynn Vonder Haar, Timothy Elvira, Luke Newcomb, Omar Ochoa	Measuring the Impact of Scene Level Objects on Object Detection: Towards Quantitative Explanations of Detection Decisions.	CoRR	2024	DBLP DOI BibTeX RDF
10	Sichao Li, Amanda S. Barnard	Diverse Explanations from Data-driven and Domain-driven Perspectives for Machine Learning Models.	CoRR	2024	DBLP DOI BibTeX RDF
10	Xinying Hou, Barbara J. Ericson, Xu Wang 0016	Integrating Personalized Parsons Problems with Multi-Level Textual Explanations to Scaffold Code Writing.	CoRR	2024	DBLP DOI BibTeX RDF
10	Sascha Xu, Joscha Cüppers, Jilles Vreeken	Succint Interaction-Aware Explanations.	CoRR	2024	DBLP DOI BibTeX RDF
10	Lars Herbold, Mersedeh Sadeghi, Andreas Vogelsang	Generating Context-Aware Contrastive Explanations in Rule-based Systems.	CoRR	2024	DBLP DOI BibTeX RDF
10	Charles Wan, Rodrigo Belo, Leid Zejnilovic, Susana Lavado	The Duet of Representations and How Explanations Exacerbate It.	CoRR	2024	DBLP DOI BibTeX RDF
10	Mihir Mulye, Matias Valdenegro-Toro	Uncertainty Quantification for Gradient-based Explanations in Neural Networks.	CoRR	2024	DBLP DOI BibTeX RDF
10	Saebom Leem, Hyunseok Seo	Attention Guided CAM: Visual Explanations of Vision Transformer Guided by Self-Attention.	CoRR	2024	DBLP DOI BibTeX RDF
10	Muhammad Suffian Nizami, Jose Maria Alonso-Moral, Alessandro Bogliolo	Introducing User Feedback-based Counterfactual Explanations (UFCE).	CoRR	2024	DBLP DOI BibTeX RDF
10	Ngoc Luyen Le, Marie-Hélène Abel, Philippe Gouspillou	Combining Embedding-Based and Semantic-Based Models for Post-hoc Explanations in Recommender Systems.	CoRR	2024	DBLP DOI BibTeX RDF
10	Chirag Agarwal, Sree Harsha Tanneru, Himabindu Lakkaraju	Faithfulness vs. Plausibility: On the (Un)Reliability of Explanations from Large Language Models.	CoRR	2024	DBLP DOI BibTeX RDF
10	Paraskevas Pegios, Manxi Lin, Nina Weng, Morten Bo Søndergaard Svendsen, Zahra Bashir, Siavash Bigdeli, Anders Nymark Christensen, Martin Grønnebæk Tolsgaard, Aasa Feragen	Diffusion-based Iterative Counterfactual Explanations for Fetal Ultrasound Image Quality Assessment.	CoRR	2024	DBLP DOI BibTeX RDF
10	Abisha Thapa Magar, Anup Shakya, Somdeb Sarkhel, Deepak Venugopal	Verifying Relational Explanations: A Probabilistic Approach.	CoRR	2024	DBLP DOI BibTeX RDF
10	André Artelt, Andreas Gregoriades	A Two-Stage Algorithm for Cost-Efficient Multi-instance Counterfactual Explanations.	CoRR	2024	DBLP DOI BibTeX RDF
10	Harish Naik, Jan Polster, Raj Shekhar, Tamás Horváth 0001, György Turán	Iterative Graph Neural Network Enhancement via Frequent Subgraph Mining of Explanations.	CoRR	2024	DBLP DOI BibTeX RDF
10	Prince Jha, Krishanu Maity, Raghav Jain, Apoorv Verma, Sriparna Saha 0001, Pushpak Bhattacharyya	Meme-ingful Analysis: Enhanced Understanding of Cyberbullying in Memes Through Multimodal Explanations.	CoRR	2024	DBLP DOI BibTeX RDF
10	Nikolaos Chaidos, Angeliki Dimitriou, Maria Lymperaiou, Giorgos Stamou	Graph Edits for Counterfactual Explanations: A Unified GNN Approach.	CoRR	2024	DBLP DOI BibTeX RDF
10	Hasan Abu-Rasheed, Christian Weber 0003, Madjid Fathi	Knowledge Graphs as Context Sources for LLM-Based Explanations of Learning Recommendations.	CoRR	2024	DBLP DOI BibTeX RDF
10	Qingxiu Dong, Guangyan Zhou, Ke Xu 0001	Further Explanations on "SAT Requires Exhaustive Search".	CoRR	2024	DBLP DOI BibTeX RDF
10	Xin Quan, Marco Valentino, Louise A. Dennis, André Freitas	Enhancing Ethical Explanations of Large Language Models through Iterative Symbolic Refinement.	CoRR	2024	DBLP DOI BibTeX RDF
10	Riccardo Pala, Esteban García-Cuesta	Combination of Weak Learners eXplanations to Improve Random Forest eXplicability Robustness.	CoRR	2024	DBLP DOI BibTeX RDF
10	Aditya Bhattacharya	Towards Directive Explanations: Crafting Explainable AI Systems for Actionable Human-AI Interactions.	CoRR	2024	DBLP DOI BibTeX RDF
10	Andrei Buliga, Chiara Di Francescomarino, Chiara Ghidini, Ivan Donadello, Fabrizio Maria Maggi	Guiding the generation of counterfactual explanations through temporal background knowledge for Predictive Process Monitoring.	CoRR	2024	DBLP DOI BibTeX RDF
10	Puxuan Yu, Daniel Cohen, Hemank Lamba, Joel R. Tetreault, Alex Jaimes	Explain then Rank: Scale Calibration of Neural Rankers Using Natural Language Explanations from Large Language Models.	CoRR	2024	DBLP DOI BibTeX RDF
10	Mersedeh Sadeghi, Lars Herbold, Max Unterbusch, Andreas Vogelsang	SmartEx: A Framework for Generating User-Centric Explanations in Smart Environments.	CoRR	2024	DBLP DOI BibTeX RDF
10	Daisuke Takahashi, Shohei Shimizu, Takuma Tanaka	Counterfactual Explanations of Black-box Machine Learning Models using Causal Discovery with Applications to Credit Rating.	CoRR	2024	DBLP DOI BibTeX RDF
10	Milan Bhan, Jean-Noël Vittaut, Nicolas Chesneau, Marie-Jeanne Lesot	Self-AMPLIFY: Improving Small Language Models with Self Post Hoc Explanations.	CoRR	2024	DBLP DOI BibTeX RDF
10	André Artelt, Shubham Sharma, Freddy Lécué, Barbara Hammer	The Effect of Data Poisoning on Counterfactual Explanations.	CoRR	2024	DBLP DOI BibTeX RDF
10	Hanxiao Tan	DAM: Diffusion Activation Maximization for 3D Global Explanations.	CoRR	2024	DBLP DOI BibTeX RDF
10	Germán Vidal	Explaining Explanations in Probabilistic Logic Programming.	CoRR	2024	DBLP DOI BibTeX RDF
10	Amit Dhurandhar, Swagatam Haldar, Dennis Wei, Karthikeyan Natesan Ramamurthy	Trust Regions for Explanations via Black-Box Probabilistic Certification.	CoRR	2024	DBLP DOI BibTeX RDF
10	Muhammad Rashid, Elvio G. Amparore, Enrico Ferrari, Damiano Verda	Using Stratified Sampling to Improve LIME Image Explanations.	CoRR	2024	DBLP DOI BibTeX RDF
10	Audrey Der, Chin-Chia Michael Yeh, Yan Zheng 0001, Junpeng Wang, Zhongfang Zhuang, Liang Wang 0047, Wei Zhang, Eamonn J. Keogh	PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies.	CoRR	2024	DBLP DOI BibTeX RDF
10	Jianhao Yuan, Shuyang Sun, Daniel Omeiza, Bo Zhao, Paul Newman 0001, Lars Kunze, Matthew Gadd	RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language Model.	CoRR	2024	DBLP DOI BibTeX RDF
10	Michelle Blom, Ronal Singh, Tim Miller 0001, Liz Sonenberg, Kerry Trentelman, Adam Saulwick	Explainable agency: human preferences for simple or complex explanations.	CoRR	2024	DBLP DOI BibTeX RDF
10	Leo Egghe, Ronald Rousseau 0001	The small-world phenomenon: a model, explanations, characterizations and examples.	CoRR	2024	DBLP DOI BibTeX RDF
10	Ahmad-Reza Ehyaei, Ali Shirali, Samira Samadi	Collective Counterfactual Explanations via Optimal Transport.	CoRR	2024	DBLP DOI BibTeX RDF
10	Truong Thanh Hung Nguyen, Tobias Clement, Phuc Truong Loc Nguyen, Nils Kemmerzell, Van Binh Truong, Vo Thanh Khang Nguyen, Mohamed Abdelaal 0001, Hung Cao	LangXAI: Integrating Large Vision Models for Generating Textual Explanations to Enhance Explainability in Visual Perception Tasks.	CoRR	2024	DBLP DOI BibTeX RDF
10	Prerna Juneja, Wenjuan Zhang, Alison Marie Smith-Renner, Hemank Lamba, Joel R. Tetreault, Alex Jaimes	Dissecting users' needs for search result explanations.	CoRR	2024	DBLP DOI BibTeX RDF
10	Maria Heuss, Maarten de Rijke, Avishek Anand	RankingSHAP - Listwise Feature Attribution Explanations for Ranking Models.	CoRR	2024	DBLP DOI BibTeX RDF
10	Herun Wan, Shangbin Feng, Zhaoxuan Tan, Heng Wang 0008, Yulia Tsvetkov, Minnan Luo	DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection.	CoRR	2024	DBLP DOI BibTeX RDF
10	Ricardo Moreira, Jacopo Bono, Mário Cardoso, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro	DiConStruct: Causal Concept-based Explanations through Black-Box Distillation.	CoRR	2024	DBLP DOI BibTeX RDF
10	Md Tawkat Islam Khondaker, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan	GreenLLaMA: A Framework for Detoxification with Explanations.	CoRR	2024	DBLP DOI BibTeX RDF
10	Robert Kaufman, Jean Costa, Everlyne Kimani	Learning Racing From an AI Coach: Effects of Multimodal Autonomous Driving Explanations on Driving Performance, Cognitive Load, Expertise, and Trust.	CoRR	2024	DBLP DOI BibTeX RDF
10	Jon Vadillo, Roberto Santana 0001, Jose A. Lozano, Marta Kwiatkowska	Uncertainty-Aware Explanations Through Probabilistic Self-Explainable Neural Networks.	CoRR	2024	DBLP DOI BibTeX RDF
10	Neema Kotonya, Francesca Toni	Towards a Framework for Evaluating Explanations in Automated Fact Verification.	CoRR	2024	DBLP DOI BibTeX RDF
10	Litao Yan, Alyssa Hwang, Zhiyuan Wu, Andrew Head	Ivie: Lightweight Anchored Explanations of Just-Generated Code.	CoRR	2024	DBLP DOI BibTeX RDF
10	Lucas Monteiro Paes, Dennis Wei, Hyo Jin Do, Hendrik Strobelt, Ronny Luss, Amit Dhurandhar, Manish Nagireddy, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Werner Geyer, Soumya Ghosh	Multi-Level Explanations for Generative Language Models.	CoRR	2024	DBLP DOI BibTeX RDF
10	Wei Jie Yeo, Ranjan Satapathy, Rick Siow Mong Goh, Erik Cambria	How Interpretable are Reasoning Explanations from Prompting Large Language Models?	CoRR	2024	DBLP DOI BibTeX RDF
10	Linan Yue, Qi Liu, Yichao Du, Li Wang, Weibo Gao, Yanqing An	Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery.	CoRR	2024	DBLP DOI BibTeX RDF
10	Alexander Stevens, Chun Ouyang 0001, Johannes De Smedt, Catarina Moreira	Generating Feasible and Plausible Counterfactual Explanations for Outcome Prediction of Business Processes.	CoRR	2024	DBLP DOI BibTeX RDF
10	Milad Alshomary, Felix Lange, Meisam Booshehri, Meghdut Sengupta, Philipp Cimiano, Henning Wachsmuth	Modeling the Quality of Dialogical Explanations.	CoRR	2024	DBLP DOI BibTeX RDF
10	Andrea Lodi 0001, Jasone Ramírez-Ayerbe	One-for-many Counterfactual Explanations by Column Generation.	CoRR	2024	DBLP DOI BibTeX RDF
10	Yanda Chen, Chandan Singh, Xiaodong Liu, Simiao Zuo, Bin Yu, He He 0001, Jianfeng Gao 0001	Towards Consistent Natural-Language Explanations via Explanation-Consistency Finetuning.	CoRR	2024	DBLP DOI BibTeX RDF
10	Junyi Wu, Weitai Kang, Hao Tang, Yuan Hong, Yan Yan 0002	On the Faithfulness of Vision Transformer Explanations.	CoRR	2024	DBLP DOI BibTeX RDF
10	Jenny Kunz, Marco Kuhlmann	Properties and Challenges of LLM-Generated Explanations.	CoRR	2024	DBLP DOI BibTeX RDF
10	Udesh Habaraduwa	Inductive Models for Artificial Intelligence Systems are Insufficient without Good Explanations.	CoRR	2024	DBLP DOI BibTeX RDF