Unmasking Dementia Detection by Masking Input Gradients: A JSM Approach to Model Interpretability and Precision

Yasmine Mustafa; Tie Luo

doi:10.1007/978-981-97-2259-4_6

Unmasking Dementia Detection by Masking Input Gradients: A JSM Approach to Model Interpretability and Precision

Yasmine Mustafa
, Tie Luo

Computer Science

Missouri University of Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Proceedings
Editors	De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	75-90
Number of pages	16
ISBN (Print)	9789819722617
DOIs	https://doi.org/10.1007/978-981-97-2259-4_6
State	Published - 2024
Event	28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024 - Taipei, Taiwan, Province of China Duration: May 7 2024 → May 10 2024

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	14647 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024
Country/Territory	Taiwan, Province of China
City	Taipei
Period	5/7/24 → 5/10/24

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Keywords

Alzheimer’s disease
Explainability
Interpretability
Jacobian saliency map
Reliability
Trustworthy AI

Access to Document

10.1007/978-981-97-2259-4_6

Cite this

Mustafa, Y., & Luo, T. (2024). Unmasking Dementia Detection by Masking Input Gradients: A JSM Approach to Model Interpretability and Precision. In D.-N. Yang, X. Xie, V. S. Tseng, J. Pei, J.-W. Huang, & J. C.-W. Lin (Eds.), Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Proceedings (pp. 75-90). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14647 LNAI). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-97-2259-4_6

Unmasking Dementia Detection by Masking Input Gradients: A JSM Approach to Model Interpretability and Precision. / Mustafa, Yasmine; Luo, Tie.
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Proceedings. ed. / De-Nian Yang; Xing Xie; Vincent S. Tseng; Jian Pei; Jen-Wei Huang; Jerry Chun-Wei Lin. Springer Science and Business Media Deutschland GmbH, 2024. p. 75-90 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14647 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Mustafa, Y & Luo, T 2024, Unmasking Dementia Detection by Masking Input Gradients: A JSM Approach to Model Interpretability and Precision. in D-N Yang, X Xie, VS Tseng, J Pei, J-W Huang & JC-W Lin (eds), Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14647 LNAI, Springer Science and Business Media Deutschland GmbH, pp. 75-90, 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, Province of China, 5/7/24. https://doi.org/10.1007/978-981-97-2259-4_6

Mustafa Y, Luo T. Unmasking Dementia Detection by Masking Input Gradients: A JSM Approach to Model Interpretability and Precision. In Yang DN, Xie X, Tseng VS, Pei J, Huang JW, Lin JCW, editors, Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Proceedings. Springer Science and Business Media Deutschland GmbH. 2024. p. 75-90. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-981-97-2259-4_6

Mustafa, Yasmine ; Luo, Tie. / Unmasking Dementia Detection by Masking Input Gradients : A JSM Approach to Model Interpretability and Precision. Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Proceedings. editor / De-Nian Yang ; Xing Xie ; Vincent S. Tseng ; Jian Pei ; Jen-Wei Huang ; Jerry Chun-Wei Lin. Springer Science and Business Media Deutschland GmbH, 2024. pp. 75-90 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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