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ORCIDArtificial Intelligence, Volume 296
Volume 296, July 2021
- Roberto Confalonieri
, Tillman Weyde, Tarek R. Besold, Fermín Moscoso del Prado Martín:
Using ontologies to enhance human understandability of global post-hoc explanations of black-box models. 103471 - Markus Langer, Daniel Oster, Timo Speith, Holger Hermanns, Lena Kästner, Eva Schmidt, Andreas Sesing, Kevin Baum:
What do we want from Explainable Artificial Intelligence (XAI)? - A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research. 103473 - Ferdinando Fioretto, Pascal Van Hentenryck, Keyu Zhu:
Differential privacy of hierarchical Census data: An optimization approach. 103475 - Arnab Bhattacharyya, Palash Dey:
Predicting winner and estimating margin of victory in elections using sampling. 103476 - Jinsong Su, Jialong Tang, Hui Jiang, Ziyao Lu, Yubin Ge, Linfeng Song, Deyi Xiong, Le Sun, Jiebo Luo:
Enhanced aspect-based sentiment analysis models with progressive self-supervised attention learning. 103477 - Ganesh Ghalme, Swapnil Dhamal, Shweta Jain, Sujit Gujar, Y. Narahari:
Ballooning multi-armed bandits. 103485 - Yanjun Li, Yanjing Wang:
Planning-based knowing how: A unified approach. 103487 - Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas, Alexandros A. Voudouris:
Peeking behind the ordinal curtain: Improving distortion via cardinal queries. 103488 - Peter Jonsson, Victor Lagerkvist, George Osipov:
Acyclic orders, partition schemes and CSPs: Unified hardness proofs and improved algorithms. 103505 - Antonio Rago, Oana Cocarascu, Christos Bechlivanidis, David A. Lagnado, Francesca Toni:
Argumentative explanations for interactive recommendations. 103506
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