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You must have clicked on this ad by mistake! Data-driven identification of accidental clicks on mobile ads with applications to advertiser cost discounting and click-through rate prediction., , , and . Int. J. Data Sci. Anal., 7 (1): 53-66 (2019)A Supervised Learning Approach to Protect Client Authentication on the Web., , , , and . ACM Trans. Web, 9 (3): 15:1-15:30 (2015)Editorial: Human-Interpretable Machine Learning., , and . Frontiers Big Data, (2022)Modeling and predicting the task-by-task behavior of search engine users., , , , and . OAIR, page 77-84. ACM, (2013)ISIDE: Proactively Assist University Students at Risk of Dropout., , , and . IEEE Big Data, page 1776-1783. IEEE, (2022)The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples., , , , and . SIGIR, page 2426-2430. ACM, (2023)CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks., , , , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 4499-4511. PMLR, (2022)Mitch: A Machine Learning Approach to the Black-Box Detection of CSRF Vulnerabilities., , , , and . EuroS&P, page 528-543. IEEE, (2019)Explain the Explainer: Interpreting Model-Agnostic Counterfactual Explanations of a Deep Reinforcement Learning Agent., , , , , and . IEEE Trans. Artif. Intell., 5 (4): 1443-1457 (April 2024)Using Clustering to Improve the Structure of Natural Language Requirements Documents., , and . REFSQ, volume 7830 of Lecture Notes in Computer Science, page 34-49. Springer, (2013)