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  1.  2
    Foundations of Explanations as Model Reconciliation.Sarath Sreedharan, Tathagata Chakraborti & Subbarao Kambhampati - 2021 - Artificial Intelligence 301:103558.
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  2.  4
    Incremental Computation for Structured Argumentation Over Dynamic DeLP Knowledge Bases.Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Gerardo I. Simari & Guillermo R. Simari - 2021 - Artificial Intelligence 300:103553.
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  3.  2
    Abstraction in Data-Sparse Task Transfer.Tesca Fitzgerald, Ashok Goel & Andrea Thomaz - 2021 - Artificial Intelligence 300:103551.
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  4.  2
    Strongly Budget Balanced Auctions for Multi-Sided Markets.Dvir Gilor, Rica Gonen & Erel Segal-Halevi - 2021 - Artificial Intelligence 300:103548.
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  5.  8
    Paracoherent Answer Set Computation.Giovanni Amendola, Carmine Dodaro, Wolfgang Faber & Francesco Ricca - 2021 - Artificial Intelligence 299:103519.
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  6.  6
    First-Order Rewritability of Ontology-Mediated Queries in Linear Temporal Logic.Alessandro Artale, Roman Kontchakov, Alisa Kovtunova, Vladislav Ryzhikov, Frank Wolter & Michael Zakharyaschev - 2021 - Artificial Intelligence 299:103536.
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  7.  11
    Levels of Explainable Artificial Intelligence for Human-Aligned Conversational Explanations.Richard Dazeley, Peter Vamplew, Cameron Foale, Charlotte Young, Sunil Aryal & Francisco Cruz - 2021 - Artificial Intelligence 299:103525.
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  8.  11
    Making Sense of Raw Input.Richard Evans, Matko Bošnjak, Lars Buesing, Kevin Ellis, David Pfau, Pushmeet Kohli & Marek Sergot - 2021 - Artificial Intelligence 299:103521.
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  9.  10
    Deciding Koopman's Qualitative Probability.Daniele Mundici - 2021 - Artificial Intelligence 299:103524.
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  10.  4
    Deliberative Acting, Planning and Learning with Hierarchical Operational Models.Sunandita Patra, James Mason, Malik Ghallab, Dana Nau & Paolo Traverso - 2021 - Artificial Intelligence 299:103523.
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  11.  4
    Commonsense Visual Sensemaking for Autonomous Driving – On Generalised Neurosymbolic Online Abduction Integrating Vision and Semantics.Jakob Suchan, Mehul Bhatt & Srikrishna Varadarajan - 2021 - Artificial Intelligence 299:103522.
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  12.  16
    Explaining Individual Predictions When Features Are Dependent: More Accurate Approximations to Shapley Values.Kjersti Aas, Martin Jullum & Anders Løland - 2021 - Artificial Intelligence 298:103502.
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  13.  10
    Toward Personalized XAI: A Case Study in Intelligent Tutoring Systems.Cristina Conati, Oswald Barral, Vanessa Putnam & Lea Rieger - 2021 - Artificial Intelligence 298:103503.
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  14.  12
    A Lightweight Epistemic Logic and its Application to Planning.Martin C. Cooper, Andreas Herzig, Faustine Maffre, Frédéric Maris, Elise Perrotin & Pierre Régnier - 2021 - Artificial Intelligence 298:103437.
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  15.  6
    Approximation and Hardness of Shift-Bribery.Piotr Faliszewski, Pasin Manurangsi & Krzysztof Sornat - 2021 - Artificial Intelligence 298:103520.
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  16.  6
    Neural Probabilistic Logic Programming in DeepProbLog.Robin Manhaeve, Sebastijan Dumančić, Angelika Kimmig, Thomas Demeester & Luc De Raedt - 2021 - Artificial Intelligence 298:103504.
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  17.  11
    Control Complexity in Borda Elections: Solving All Open Cases of Offline Control and Some Cases of Online Control.Marc Neveling & Jörg Rothe - 2021 - Artificial Intelligence 298:103508.
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  18.  11
    “That's (Not) the Output I Expected!” On the Role of End User Expectations in Creating Explanations of AI Systems.Maria Riveiro & Serge Thill - 2021 - Artificial Intelligence 298:103507.
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  19.  7
    Pay-as-You-Go Consequence-Based Reasoning for the Description Logic SROIQ.David Tena Cucala, Bernardo Cuenca Grau & Ian Horrocks - 2021 - Artificial Intelligence 298:103518.
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  20.  12
    A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progress.Saurabh Arora & Prashant Doshi - 2021 - Artificial Intelligence 297:103500.
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  21.  7
    Properties and Interrelationships of Skeptical, Weakly Skeptical, and Credulous Inference Induced by Classes of Minimal Models.Christoph Beierle, Christian Eichhorn, Gabriele Kern-Isberner & Steven Kutsch - 2021 - Artificial Intelligence 297:103489.
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  22.  7
    A Unifying Look at Sequence Submodularity.Sara Bernardini, Fabio Fagnani & Chiara Piacentini - 2021 - Artificial Intelligence 297:103486.
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  23.  8
    Algorithms and Conditional Lower Bounds for Planning Problems.Krishnendu Chatterjee, Wolfgang Dvořák, Monika Henzinger & Alexander Svozil - 2021 - Artificial Intelligence 297:103499.
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  24.  16
    Dissecting Scientific Explanation in AI (sXAI): A Case for Medicine and Healthcare.Juan M. Durán - 2021 - Artificial Intelligence 297:103498.
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  25.  13
    Expecting the Unexpected: Goal Recognition for Rational and Irrational Agents.Peta Masters & Sebastian Sardina - 2021 - Artificial Intelligence 297:103490.
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  26.  10
    PC-SyncBB: A Privacy Preserving Collusion Secure DCOP Algorithm.Tamir Tassa, Tal Grinshpoun & Avishay Yanai - 2021 - Artificial Intelligence 297:103501.
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  27.  8
    Peeking Behind the Ordinal Curtain: Improving Distortion Via Cardinal Queries.Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas & Alexandros A. Voudouris - 2021 - Artificial Intelligence 296:103488.
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  28.  8
    Predicting Winner and Estimating Margin of Victory in Elections Using Sampling.Arnab Bhattacharyya & Palash Dey - 2021 - Artificial Intelligence 296:103476.
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  29.  6
    Using Ontologies to Enhance Human Understandability of Global Post-Hoc Explanations of Black-Box Models.Roberto Confalonieri, Tillman Weyde, Tarek R. Besold & Fermín Moscoso del Prado Martín - 2021 - Artificial Intelligence 296:103471.
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  30.  12
    Differential Privacy of Hierarchical Census Data: An Optimization Approach.Ferdinando Fioretto, Pascal Van Hentenryck & Keyu Zhu - 2021 - Artificial Intelligence 296:103475.
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  31.  8
    Ballooning Multi-Armed Bandits.Ganesh Ghalme, Swapnil Dhamal, Shweta Jain, Sujit Gujar & Y. Narahari - 2021 - Artificial Intelligence 296:103485.
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  32.  9
    Acyclic Orders, Partition Schemes and CSPs: Unified Hardness Proofs and Improved Algorithms.Peter Jonsson, Victor Lagerkvist & George Osipov - 2021 - Artificial Intelligence 296:103505.
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  33. What Do We Want From Explainable Artificial Intelligence (XAI)? – A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research.Markus Langer, Daniel Oster, Timo Speith, Lena Kästner, Kevin Baum, Holger Hermanns, Eva Schmidt & Andreas Sesing - 2021 - Artificial Intelligence 296:103473.
    Previous research in Explainable Artificial Intelligence (XAI) suggests that a main aim of explainability approaches is to satisfy specific interests, goals, expectations, needs, and demands regarding artificial systems (we call these “stakeholders' desiderata”) in a variety of contexts. However, the literature on XAI is vast, spreads out across multiple largely disconnected disciplines, and it often remains unclear how explainability approaches are supposed to achieve the goal of satisfying stakeholders' desiderata. This paper discusses the main classes of stakeholders calling for explainability (...)
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  34.  14
    Planning-Based Knowing How: A Unified Approach.Yanjun Li & Yanjing Wang - 2021 - Artificial Intelligence 296:103487.
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  35.  15
    Argumentative Explanations for Interactive Recommendations.Antonio Rago, Oana Cocarascu, Christos Bechlivanidis, David Lagnado & Francesca Toni - 2021 - Artificial Intelligence 296:103506.
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  36.  9
    Enhanced Aspect-Based Sentiment Analysis Models with Progressive Self-Supervised Attention Learning.Jinsong Su, Jialong Tang, Hui Jiang, Ziyao Lu, Yubin Ge, Linfeng Song, Deyi Xiong & Jiebo le SunLuo - 2021 - Artificial Intelligence 296:103477.
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  37.  9
    Acceptance in Incomplete Argumentation Frameworks.Dorothea Baumeister, Matti Järvisalo, Daniel Neugebauer, Andreas Niskanen & Jörg Rothe - 2021 - Artificial Intelligence 295:103470.
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  38.  7
    Learning Modulo Theories for Constructive Preference Elicitation.Paolo Campigotto, Stefano Teso, Roberto Battiti & Andrea Passerini - 2021 - Artificial Intelligence 295:103454.
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  39.  8
    Stable Fractional Matchings.Ioannis Caragiannis, Aris Filos-Ratsikas, Panagiotis Kanellopoulos & Rohit Vaish - 2021 - Artificial Intelligence 295:103416.
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  40.  13
    Open-World Probabilistic Databases: Semantics, Algorithms, Complexity.İsmail İlkan Ceylan, Adnan Darwiche & Guy Van den Broeck - 2021 - Artificial Intelligence 295:103474.
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  41.  6
    New Width Parameters for SAT and #SAT.Robert Ganian & Stefan Szeider - 2021 - Artificial Intelligence 295:103460.
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  42.  11
    A Review of Possible Effects of Cognitive Biases on Interpretation of Rule-Based Machine Learning Models. [REVIEW]Tomáš Kliegr, Štěpán Bahník & Johannes Fürnkranz - 2021 - Artificial Intelligence 295:103458.
  43.  10
    Counterfactual State Explanations for Reinforcement Learning Agents Via Generative Deep Learning.Matthew L. Olson, Roli Khanna, Lawrence Neal, Fuxin Li & Weng-Keen Wong - 2021 - Artificial Intelligence 295:103455.
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  44.  6
    A Semantics for Hybrid Probabilistic Logic Programs with Function Symbols.Damiano Azzolini, Fabrizio Riguzzi & Evelina Lamma - 2021 - Artificial Intelligence 294:103452.
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  45.  6
    An Integrated Approach to Solving Influence Diagrams and Finite-Horizon Partially Observable Decision Processes.Eric A. Hansen - 2021 - Artificial Intelligence 294:103431.
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  46.  15
    Epistemic GDL: A Logic for Representing and Reasoning About Imperfect Information Games.Guifei Jiang, Dongmo Zhang, Laurent Perrussel & Heng Zhang - 2021 - Artificial Intelligence 294:103453.
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  47.  8
    Explaining Black-Box Classifiers Using Post-Hoc Explanations-by-Example: The Effect of Explanations and Error-Rates in XAI User Studies.Eoin M. Kenny, Courtney Ford, Molly Quinn & Mark T. Keane - 2021 - Artificial Intelligence 294:103459.
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  48.  14
    GLocalX - From Local to Global Explanations of Black Box AI Models.Mattia Setzu, Riccardo Guidotti, Anna Monreale, Franco Turini, Dino Pedreschi & Fosca Giannotti - 2021 - Artificial Intelligence 294:103457.
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  49.  7
    Show or Suppress? Managing Input Uncertainty in Machine Learning Model Explanations.Danding Wang, Wencan Zhang & Brian Y. Lim - 2021 - Artificial Intelligence 294:103456.
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  50.  4
    Fair Division of Mixed Divisible and Indivisible Goods.Xiaohui Bei, Zihao Li, Jinyan Liu, Shengxin Liu & Xinhang Lu - 2021 - Artificial Intelligence 293:103436.
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  51.  10
    Computational Complexity of Flat and Generic Assumption-Based Argumentation, with and Without Probabilities.Kristijonas Čyras, Quentin Heinrich & Francesca Toni - 2021 - Artificial Intelligence 293:103449.
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  52.  8
    Making Sense of Sensory Input.Richard Evans, José Hernández-Orallo, Johannes Welbl, Pushmeet Kohli & Marek Sergot - 2021 - Artificial Intelligence 293:103438.
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  53.  5
    On the Noise Estimation Statistics.Wei Gao, Teng Zhang, Bin-Bin Yang & Zhi-Hua Zhou - 2021 - Artificial Intelligence 293:103451.
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  54.  7
    Credibility Dynamics: A Belief-Revision-Based Trust Model with Pairwise Comparisons.David Jelenc, Luciano H. Tamargo, Sebastian Gottifredi & Alejandro J. García - 2021 - Artificial Intelligence 293:103450.
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  55.  14
    Multiple Object Tracking: A Literature Review.Wenhan Luo, Junliang Xing, Anton Milan, Xiaoqin Zhang, Wei Liu & Tae-Kyun Kim - 2021 - Artificial Intelligence 293:103448.
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  56.  3
    Game Description Language and Dynamic Epistemic Logic Compared.Thorsten Engesser, Robert Mattmüller, Bernhard Nebel & Michael Thielscher - 2021 - Artificial Intelligence 292:103433.
  57.  2
    Metamodeling and Metaquerying in OWL2QL.Maurizio Lenzerini, Lorenzo Lepore & Antonella Poggi - 2021 - Artificial Intelligence 292:103432.
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  58.  3
    Using POMDPs for Learning Cost Sensitive Decision Trees.Shlomi Maliah & Guy Shani - 2021 - Artificial Intelligence 292:103400.
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  59.  2
    Spatial Relation Learning for Explainable Image Classification and Annotation in Critical Applications.Régis Pierrard, Jean-Philippe Poli & Céline Hudelot - 2021 - Artificial Intelligence 292:103434.
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  60.  2
    Embedding Deep Networks Into Visual Explanations.Zhongang Qi, Saeed Khorram & Li Fuxin - 2021 - Artificial Intelligence 292:103435.
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  61.  2
    Weakly-Supervised Sensor-Based Activity Segmentation and Recognition Via Learning From Distributions.Hangwei Qian, Sinno Jialin Pan & Chunyan Miao - 2021 - Artificial Intelligence 292:103429.
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  62.  6
    Time-Delayed Collective Flow Diffusion Models for Inferring Latent People Flow From Aggregated Data at Limited Locations.Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda, Naonori Ueda & Toshiyuki Tanaka - 2021 - Artificial Intelligence 292:103430.
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  63.  6
    Dependency-Based Syntax-Aware Word Representations.Meishan Zhang, Zhenghua Li, Guohong Fu & Min Zhang - 2021 - Artificial Intelligence 292:103427.
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  64.  22
    Mis- and Disinformation in a Bounded Confidence Model.Igor Douven & Rainer Hegselmann - 2021 - Artificial Intelligence 291:103415.
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  65.  6
    Selecting Goals in Oversubscription Planning Using Relaxed Plans.Angel García-Olaya, Tomás de la Rosa & Daniel Borrajo - 2021 - Artificial Intelligence 291:103414.
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  66.  4
    Evaluating Local Explanation Methods on Ground Truth.Riccardo Guidotti - 2021 - Artificial Intelligence 291:103428.
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  67.  2
    Dynamically Improved Bounds Bidirectional Search.E. C. Sewell & S. H. Jacobson - 2021 - Artificial Intelligence 291:103405.
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  68.  3
    Evaluating XAI: A Comparison of Rule-Based and Example-Based Explanations.Jasper van der Waa, Elisabeth Nieuwburg, Anita Cremers & Mark Neerincx - 2021 - Artificial Intelligence 291:103404.
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  69.  2
    X*: Anytime Multi-Agent Path Finding for Sparse Domains Using Window-Based Iterative Repairs.Kyle Vedder & Joydeep Biswas - 2021 - Artificial Intelligence 291:103417.
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  70.  2
    Robustness Among Multiwinner Voting Rules.Robert Bredereck, Piotr Faliszewski, Andrzej Kaczmarczyk, Rolf Niedermeier, Piotr Skowron & Nimrod Talmon - 2021 - Artificial Intelligence 290:103403.
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  71.  2
    Pruning External Minimality Checking for Answer Set Programs Using Semantic Dependencies.Thomas Eiter & Tobias Kaminski - 2021 - Artificial Intelligence 290:103402.
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  72.  2
    Protecting Elections by Recounting Ballots.Edith Elkind, Jiarui Gan, Svetlana Obraztsova, Zinovi Rabinovich & Alexandros A. Voudouris - 2021 - Artificial Intelligence 290:103401.
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  73.  4
    On Fair Price Discrimination in Multi-Unit Markets.Michele Flammini, Manuel Mauro & Matteo Tonelli - 2021 - Artificial Intelligence 290:103388.
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  74.  2
    A Reconstruction of Multipreference Closure.Laura Giordano & Valentina Gliozzi - 2021 - Artificial Intelligence 290:103398.
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  75.  3
    Swarm Intelligence for Self-Organized Clustering.Michael C. Thrun & Alfred Ultsch - 2021 - Artificial Intelligence 290:103237.
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