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Publication search results
found 44 matches
- 2023
- Julius Meier:
Video-based modelling examples and self-explanation prompts for teaching a complex problem-solving strategy to learners with different levels of prior knowledge. University of Freiburg, Germany, 2023 - 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. 7(3): 149 (2023) - Mohammad Naiseh, Dena Al-Thani, Nan Jiang, Raian Ali:
How the different explanation classes impact trust calibration: The case of clinical decision support systems. Int. J. Hum. Comput. Stud. 169: 102941 (2023) - Zikai Alex Wen, Jingyu Jia, Hongyang Yan, Yaxing Yao, Zheli Liu, Changyu Dong:
The influence of explanation designs on user understanding differential privacy and making data-sharing decision. Inf. Sci. 642: 118799 (2023) - Gichan Lee, Scott Uk-Jin Lee:
Toward Reliable Software Analytics: Systematic Integration of Explanations From Different Model-Agnostic Techniques. IEEE Softw. 40(3): 34-42 (2023) - 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. 13(4): 22:1-22:42 (2023) - Truc D. T. Nguyen, Phung Lai, Hai Phan, My T. Thai:
XRand: Differentially Private Defense against Explanation-Guided Attacks. AAAI 2023: 11873-11881 - Yu Feng, Ben Zhou, Haoyu Wang, Helen Jin, Dan Roth:
Generic Temporal Reasoning with Differential Analysis and Explanation. ACL (1) 2023: 12013-12029 - Huy Anh Nguyen, Xinying Hou, Hayden Stec, Sarah Di, John C. Stamper, Bruce M. McLaren:
Examining the Learning Benefits of Different Types of Prompted Self-explanation in a Decimal Learning Game. AIED 2023: 681-687 - Ethan Prihar, Morgan P. Lee, Mia Hopman, Adam Tauman Kalai, Sofia Vempala, Allison Wang, Gabriel Wickline, Aly Murray, Neil T. Heffernan:
Comparing Different Approaches to Generating Mathematics Explanations Using Large Language Models. AIED (Posters/Late Breaking Results/...) 2023: 290-295 - Astrid Bertrand, Tiphaine Viard, Rafik Belloum, James R. Eagan, Winston Maxwell:
On Selective, Mutable and Dialogic XAI: a Review of What Users Say about Different Types of Interactive Explanations. CHI 2023: 411:1-411:21 - Luan Soares de Souza, Marcelo Garcia Manzato:
A User Study on Explanations with Different Levels of Detail in Recommender Systems. WebMedia 2023: 208-212 - Francesco Sovrano, Fabio Vitali:
Perlocution vs Illocution: How Different Interpretations of the Act of Explaining Impact on the Evaluation of Explanations and XAI. xAI (1) 2023: 25-47 - Williams Rizzi, Chiara Di Francescomarino, Chiara Ghidini, Fabrizio Maria Maggi:
Explain, Adapt and Retrain: How to improve the accuracy of a PPM classifier through different explanation styles. CoRR abs/2303.14939 (2023) - Hana Chockler, David A. Kelly, Daniel Kroening:
Multiple Different Explanations for Image Classifiers. CoRR abs/2309.14309 (2023) - Yuya Yoshikawa, Tomoharu Iwata:
Explanation-Based Training with Differentiable Insertion/Deletion Metric-Aware Regularizers. CoRR abs/2310.12553 (2023) - 2022
- Avital Shulner-Tal, Tsvi Kuflik, Doron Kliger:
Fairness, explainability and in-between: understanding the impact of different explanation methods on non-expert users' perceptions of fairness toward an algorithmic system. Ethics Inf. Technol. 24(1): 2 (2022) - Weijie Fu, Meng Wang, Mengnan Du, Ninghao Liu, Shijie Hao, Xia Hu:
Differentiated Explanation of Deep Neural Networks With Skewed Distributions. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 2909-2922 (2022) - Vasilis Gkolemis, Theodore Dalamagas, Christos Diou:
DALE: Differential Accumulated Local Effects for efficient and accurate global explanations. ACML 2022: 375-390 - Hayden Andersen, Andrew Lensen, Will N. Browne, Yi Mei:
Evolving Counterfactual Explanations with Particle Swarm Optimization and Differential Evolution. CEC 2022: 1-8 - Neel Patel, Reza Shokri, Yair Zick:
Model Explanations with Differential Privacy. FAccT 2022: 1895-1904 - Miao Zhang, Wei Huang, Bin Yang:
Interpreting Operation Selection in Differentiable Architecture Search: A Perspective from Influence-Directed Explanations. NeurIPS 2022 - Rami Mochaourab, Sugandh Sinha, Stanley Greenstein, Panagiotis Papapetrou:
Demonstrator on Counterfactual Explanations for Differentially Private Support Vector Machines. ECML/PKDD (6) 2022: 662-666 - Nico Potyka, Xiang Yin, Francesca Toni:
Towards a Theory of Faithfulness: Faithful Explanations of Differentiable Classifiers over Continuous Data. CoRR abs/2205.09620 (2022) - Vasilis Gkolemis, Theodore Dalamagas, Christos Diou:
DALE: Differential Accumulated Local Effects for efficient and accurate global explanations. CoRR abs/2210.04542 (2022) - Truc D. T. Nguyen, Phung Lai, NhatHai Phan, My T. Thai:
XRand: Differentially Private Defense against Explanation-Guided Attacks. CoRR abs/2212.04454 (2022) - Yu Feng, Ben Zhou, Haoyu Wang, Helen Jin, Dan Roth:
Generic Temporal Reasoning with Differential Analysis and Explanation. CoRR abs/2212.10467 (2022) - 2021
- Ramaravind Kommiya Mothilal, Divyat Mahajan, Chenhao Tan, Amit Sharma:
Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End. AIES 2021: 652-663 - Maxwell Szymanski, Martijn Millecamp, Katrien Verbert:
Visual, textual or hybrid: the effect of user expertise on different explanations. IUI 2021: 109-119 - 2020
- Michelle Colvin, Tessa C. Warren:
Language comprehension models at different levels of explanation. Lang. Linguistics Compass 14(1) (2020)
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