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Selection of XAI Methods Matters: Evaluation of Feature Attribution Methods for Oculomotoric Biometric Identification.

, , , , , and . Gaze Meets ML, volume 210 of Proceedings of Machine Learning Research, page 66-97. PMLR, (2022)

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Why Experimentation can be better than "Perfect Guidance"., , and . ICML, page 331-339. Morgan Kaufmann, (1997)Effectiveness of information extraction, multi-relational, and multi-view learning for prediction gene deletion experiments., and . BIOKDD, page 10-16. (2003)Active Hidden Markov Models for Information Extraction., , and . IDA, volume 2189 of Lecture Notes in Computer Science, page 309-318. Springer, (2001)Support Vector Machines for Collective Inference., , and . MLG, (2007)Efficient co-regularised least squares regression., , , and . ICML, volume 148 of ACM International Conference Proceeding Series, page 137-144. ACM, (2006)The VC-Dimension of Subclasses of Pattern., , , and . ALT, volume 1720 of Lecture Notes in Computer Science, page 93-105. Springer, (1999)On the Relationship between Eye Tracking Resolution and Performance of Oculomotoric Biometric Identification., , , , and . KES, volume 176 of Procedia Computer Science, page 2088-2097. Elsevier, (2020)Estimating the Expected Error of Empirical Minimizers for Model Selection., and . AAAI/IAAI, page 1200. AAAI Press / The MIT Press, (1998)Selection of XAI Methods Matters: Evaluation of Feature Attribution Methods for Oculomotoric Biometric Identification., , , , , and . Gaze Meets ML, volume 210 of Proceedings of Machine Learning Research, page 66-97. PMLR, (2022)Mining the Web with Active Hidden Markov Models., , and . ICDM, page 645-646. IEEE Computer Society, (2001)