Black Box Explanation by Learning Image Exemplars in the Latent Feature Space

Riccardo Guidotti; Anna Monreale; Stan Matwin; Dino Pedreschi

doi:10.1007/978-3-030-46150-8_12

Black Box Explanation by Learning Image Exemplars in the Latent Feature Space

Riccardo Guidotti, Anna Monreale, Stan Matwin, Dino Pedreschi

Engineering

科研成果: 图书/报告稿件的类型 › 会议稿件

40 引用（Scopus）

源语言	英语
主期刊名	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Proceedings
编辑	Ulf Brefeld, Elisa Fromont, Andreas Hotho, Arno Knobbe, Marloes Maathuis, Céline Robardet
出版商	Springer
页	189-205
页数	17
ISBN（印刷版）	9783030461492
DOI	https://doi.org/10.1007/978-3-030-46150-8_12
出版状态	已出版 - 2020
活动	European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2019 - Wurzburg, 德国期限: 9月 16 2019 → 9月 20 2019

出版系列

姓名	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
卷	11906 LNAI
ISSN（印刷版）	0302-9743
ISSN（电子版）	1611-3349

会议

会议	European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2019
国家/地区	德国
市	Wurzburg
时期	9/16/19 → 9/20/19

!!!ASJC Scopus Subject Areas

理论计算机科学
一般计算机科学

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10.1007/978-3-030-46150-8_12

其它文件与链接

引用此

Guidotti, R., Monreale, A., Matwin, S., & Pedreschi, D. (2020). Black Box Explanation by Learning Image Exemplars in the Latent Feature Space. 在 U. Brefeld, E. Fromont, A. Hotho, A. Knobbe, M. Maathuis, & C. Robardet (编辑), Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Proceedings (页码 189-205). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 11906 LNAI). Springer. https://doi.org/10.1007/978-3-030-46150-8_12

Black Box Explanation by Learning Image Exemplars in the Latent Feature Space. / Guidotti, Riccardo; Monreale, Anna; Matwin, Stan 等.
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Proceedings. 编辑 / Ulf Brefeld; Elisa Fromont; Andreas Hotho; Arno Knobbe; Marloes Maathuis; Céline Robardet. Springer, 2020. 页码 189-205 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 11906 LNAI).

科研成果: 图书/报告稿件的类型 › 会议稿件

Guidotti, R, Monreale, A, Matwin, S & Pedreschi, D 2020, Black Box Explanation by Learning Image Exemplars in the Latent Feature Space. 在 U Brefeld, E Fromont, A Hotho, A Knobbe, M Maathuis & C Robardet (编辑), Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 卷 11906 LNAI, Springer, 页码 189-205, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2019, Wurzburg, 德国, 9/16/19. https://doi.org/10.1007/978-3-030-46150-8_12

Guidotti R, Monreale A, Matwin S, Pedreschi D. Black Box Explanation by Learning Image Exemplars in the Latent Feature Space. 在 Brefeld U, Fromont E, Hotho A, Knobbe A, Maathuis M, Robardet C, 编辑, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Proceedings. Springer. 2020. 页码 189-205. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-46150-8_12

Guidotti, Riccardo ; Monreale, Anna ; Matwin, Stan 等. / Black Box Explanation by Learning Image Exemplars in the Latent Feature Space. Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Proceedings. 编辑 / Ulf Brefeld ; Elisa Fromont ; Andreas Hotho ; Arno Knobbe ; Marloes Maathuis ; Céline Robardet. Springer, 2020. 页码 189-205 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Black Box Explanation by Learning Image Exemplars in the Latent Feature Space

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