- Explaining Individual Predictions When Features Are Dependent: More Accurate Approximations to Shapley Values.Kjersti Aas, Martin Jullum & Anders Løland - 2021 - Artificial Intelligence 298:103502.details
- Toward Personalized XAI: A Case Study in Intelligent Tutoring Systems.Cristina Conati, Oswald Barral, Vanessa Putnam & Lea Rieger - 2021 - Artificial Intelligence 298:103503.details
- 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.details
- Neural Probabilistic Logic Programming in DeepProbLog.Robin Manhaeve, Sebastijan Dumančić, Angelika Kimmig, Thomas Demeester & Luc De Raedt - 2021 - Artificial Intelligence 298:103504.details
- A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progress.Saurabh Arora & Prashant Doshi - 2021 - Artificial Intelligence 297:103500.details
- 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.details
- A Unifying Look at Sequence Submodularity.Sara Bernardini, Fabio Fagnani & Chiara Piacentini - 2021 - Artificial Intelligence 297:103486.details
- Algorithms and Conditional Lower Bounds for Planning Problems.Krishnendu Chatterjee, Wolfgang Dvořák, Monika Henzinger & Alexander Svozil - 2021 - Artificial Intelligence 297:103499.details
- Dissecting Scientific Explanation in AI (sXAI): A Case for Medicine and Healthcare.Juan M. Durán - 2021 - Artificial Intelligence 297:103498.details
- Expecting the Unexpected: Goal Recognition for Rational and Irrational Agents.Peta Masters & Sebastian Sardina - 2021 - Artificial Intelligence 297:103490.details
- PC-SyncBB: A Privacy Preserving Collusion Secure DCOP Algorithm.Tamir Tassa, Tal Grinshpoun & Avishay Yanai - 2021 - Artificial Intelligence 297:103501.details
- 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.details
- Predicting Winner and Estimating Margin of Victory in Elections Using Sampling.Arnab Bhattacharyya & Palash Dey - 2021 - Artificial Intelligence 296:103476.details
- 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.details
- Differential Privacy of Hierarchical Census Data: An Optimization Approach.Ferdinando Fioretto, Pascal Van Hentenryck & Keyu Zhu - 2021 - Artificial Intelligence 296:103475.details
- Ballooning Multi-Armed Bandits.Ganesh Ghalme, Swapnil Dhamal, Shweta Jain, Sujit Gujar & Y. Narahari - 2021 - Artificial Intelligence 296:103485.details
- Acyclic Orders, Partition Schemes and CSPs: Unified Hardness Proofs and Improved Algorithms.Peter Jonsson, Victor Lagerkvist & George Osipov - 2021 - Artificial Intelligence 296:103505.details
- 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.details
- Planning-Based Knowing How: A Unified Approach.Yanjun Li & Yanjing Wang - 2021 - Artificial Intelligence 296:103487.details
- 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.details
- Acceptance in Incomplete Argumentation Frameworks.Dorothea Baumeister, Matti Järvisalo, Daniel Neugebauer, Andreas Niskanen & Jörg Rothe - 2021 - Artificial Intelligence 295:103470.details
- Learning Modulo Theories for Constructive Preference Elicitation.Paolo Campigotto, Stefano Teso, Roberto Battiti & Andrea Passerini - 2021 - Artificial Intelligence 295:103454.details
- Stable Fractional Matchings.Ioannis Caragiannis, Aris Filos-Ratsikas, Panagiotis Kanellopoulos & Rohit Vaish - 2021 - Artificial Intelligence 295:103416.details
- Open-World Probabilistic Databases: Semantics, Algorithms, Complexity.İsmail İlkan Ceylan, Adnan Darwiche & Guy Van den Broeck - 2021 - Artificial Intelligence 295:103474.details
- New Width Parameters for SAT and #SAT.Robert Ganian & Stefan Szeider - 2021 - Artificial Intelligence 295:103460.details
- 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.details
- 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.details
- A Semantics for Hybrid Probabilistic Logic Programs with Function Symbols.Damiano Azzolini, Fabrizio Riguzzi & Evelina Lamma - 2021 - Artificial Intelligence 294:103452.details
- An Integrated Approach to Solving Influence Diagrams and Finite-Horizon Partially Observable Decision Processes.Eric A. Hansen - 2021 - Artificial Intelligence 294:103431.details
- 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.details
- 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.details
- 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.details
- Show or Suppress? Managing Input Uncertainty in Machine Learning Model Explanations.Danding Wang, Wencan Zhang & Brian Y. Lim - 2021 - Artificial Intelligence 294:103456.details
- Fair Division of Mixed Divisible and Indivisible Goods.Xiaohui Bei, Zihao Li, Jinyan Liu, Shengxin Liu & Xinhang Lu - 2021 - Artificial Intelligence 293:103436.details
- Computational Complexity of Flat and Generic Assumption-Based Argumentation, with and Without Probabilities.Kristijonas Čyras, Quentin Heinrich & Francesca Toni - 2021 - Artificial Intelligence 293:103449.details
- Making Sense of Sensory Input.Richard Evans, José Hernández-Orallo, Johannes Welbl, Pushmeet Kohli & Marek Sergot - 2021 - Artificial Intelligence 293:103438.details
- On the Noise Estimation Statistics.Wei Gao, Teng Zhang, Bin-Bin Yang & Zhi-Hua Zhou - 2021 - Artificial Intelligence 293:103451.details
- 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.details
- Multiple Object Tracking: A Literature Review.Wenhan Luo, Junliang Xing, Anton Milan, Xiaoqin Zhang, Wei Liu & Tae-Kyun Kim - 2021 - Artificial Intelligence 293:103448.details
- Game Description Language and Dynamic Epistemic Logic Compared.Thorsten Engesser, Robert Mattmüller, Bernhard Nebel & Michael Thielscher - 2021 - Artificial Intelligence 292:103433.details
- Metamodeling and Metaquerying in OWL2QL.Maurizio Lenzerini, Lorenzo Lepore & Antonella Poggi - 2021 - Artificial Intelligence 292:103432.details
- Using POMDPs for Learning Cost Sensitive Decision Trees.Shlomi Maliah & Guy Shani - 2021 - Artificial Intelligence 292:103400.details
- Spatial Relation Learning for Explainable Image Classification and Annotation in Critical Applications.Régis Pierrard, Jean-Philippe Poli & Céline Hudelot - 2021 - Artificial Intelligence 292:103434.details
- Embedding Deep Networks Into Visual Explanations.Zhongang Qi, Saeed Khorram & Li Fuxin - 2021 - Artificial Intelligence 292:103435.details
- Weakly-Supervised Sensor-Based Activity Segmentation and Recognition Via Learning From Distributions.Hangwei Qian, Sinno Jialin Pan & Chunyan Miao - 2021 - Artificial Intelligence 292:103429.details
- 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.details
- Dependency-Based Syntax-Aware Word Representations.Meishan Zhang, Zhenghua Li, Guohong Fu & Min Zhang - 2021 - Artificial Intelligence 292:103427.details
- Mis- and Disinformation in a Bounded Confidence Model.Igor Douven & Rainer Hegselmann - 2021 - Artificial Intelligence 291:103415.details
- Selecting Goals in Oversubscription Planning Using Relaxed Plans.Angel García-Olaya, Tomás de la Rosa & Daniel Borrajo - 2021 - Artificial Intelligence 291:103414.details
- Evaluating Local Explanation Methods on Ground Truth.Riccardo Guidotti - 2021 - Artificial Intelligence 291:103428.details
- Dynamically Improved Bounds Bidirectional Search.E. C. Sewell & S. H. Jacobson - 2021 - Artificial Intelligence 291:103405.details
- 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.details
- X*: Anytime Multi-Agent Path Finding for Sparse Domains Using Window-Based Iterative Repairs.Kyle Vedder & Joydeep Biswas - 2021 - Artificial Intelligence 291:103417.details
- Robustness Among Multiwinner Voting Rules.Robert Bredereck, Piotr Faliszewski, Andrzej Kaczmarczyk, Rolf Niedermeier, Piotr Skowron & Nimrod Talmon - 2021 - Artificial Intelligence 290:103403.details
- Pruning External Minimality Checking for Answer Set Programs Using Semantic Dependencies.Thomas Eiter & Tobias Kaminski - 2021 - Artificial Intelligence 290:103402.details
- Protecting Elections by Recounting Ballots.Edith Elkind, Jiarui Gan, Svetlana Obraztsova, Zinovi Rabinovich & Alexandros A. Voudouris - 2021 - Artificial Intelligence 290:103401.details
- On Fair Price Discrimination in Multi-Unit Markets.Michele Flammini, Manuel Mauro & Matteo Tonelli - 2021 - Artificial Intelligence 290:103388.details
- A Reconstruction of Multipreference Closure.Laura Giordano & Valentina Gliozzi - 2021 - Artificial Intelligence 290:103398.details
- Swarm Intelligence for Self-Organized Clustering.Michael C. Thrun & Alfred Ultsch - 2021 - Artificial Intelligence 290:103237.details
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