Can local explanation techniques explain linear additive models? (English)
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- New search for: Rahnama, Amir Hossein Akhavan
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https://orcid.org/http://orcid.org/0000-0002-6846-5707
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- New search for: Rahnama, Amir Hossein Akhavan
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In:
Data Mining and Knowledge Discovery
;
38
, 1
;
237-280
;
2024
- Article (Journal) / Electronic Resource
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Title:Can local explanation techniques explain linear additive models?
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Additional title:Data Min Knowl Disc
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Contributors:Rahnama, Amir Hossein Akhavan ( author ) / Bütepage, Judith ( author ) / Geurts, Pierre ( author ) / Boström, Henrik ( author )
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Published in:Data Mining and Knowledge Discovery ; 38, 1 ; 237-280
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Publisher:
- New search for: Springer US
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Place of publication:New York
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Publication date:2024-01-01
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Size:44 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Licence:
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Source:
Table of contents – Volume 38, Issue 1
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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TenGAN: adversarially generating multiplex tensor graphsShiao, William / Miller, Benjamin A. / Chan, Kevin / Yu, Paul / Eliassi-Rad, Tina / Papalexakis, Evangelos E. et al. | 2024
- 22
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Improving position encoding of transformers for multivariate time series classificationFoumani, Navid Mohammadi / Tan, Chang Wei / Webb, Geoffrey I. / Salehi, Mahsa et al. | 2024
- 49
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Variable screening for Lasso based on multidimensional indexingŻogała-Siudem, Barbara / Jaroszewicz, Szymon et al. | 2024
- 79
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A tale of two roles: exploring topic-specific susceptibility and influence in cascade predictionChen, Ninghan / Chen, Xihui / Zhong, Zhiqiang / Pang, Jun et al. | 2024
- 110
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Improving Graph Neural Networks by combining active learning with self-trainingKatsimpras, Georgios / Paliouras, Georgios et al. | 2024
- 128
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An attention matrix for every decision: faithfulness-based arbitration among multiple attention-based interpretations of transformers in text classificationMylonas, Nikolaos / Mollas, Ioannis / Tsoumakas, Grigorios et al. | 2024
- 154
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MODE-Bi-GRU: orthogonal independent Bi-GRU model with multiscale feature extractionWang, Wei / Ruan, Wenhan / Meng, Xiangfu et al. | 2024
- 173
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Improving neural network’s robustness on tabular data with D-layersXia, Haiyang / Zaidi, Nayyar / Zhang, Yishuo / Li, Gang et al. | 2024
- 206
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Z-Time: efficient and effective interpretable multivariate time series classificationLee, Zed / Lindgren, Tony / Papapetrou, Panagiotis et al. | 2024
- 237
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Can local explanation techniques explain linear additive models?Rahnama, Amir Hossein Akhavan / Bütepage, Judith / Geurts, Pierre / Boström, Henrik et al. | 2024
- 281
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Studying bias in visual features through the lens of optimal transportFabbrizzi, Simone / Zhao, Xuan / Krasanakis, Emmanouil / Papadopoulos, Symeon / Ntoutsi, Eirini et al. | 2024
- 313
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Correction to: Studying bias in visual features through the lens of optimal transportFabbrizzi, Simone / Zhao, Xuan / Krasanakis, Emmanouil / Papadopoulos, Symeon / Ntoutsi, Eirini et al. | 2024
- 315
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Multiple-input neural networks for time series forecasting incorporating historical and prospective contextPalet, João / Manquinho, Vasco / Henriques, Rui et al. | 2024