Middle-Level Features for the Explanation of Classification Systems by Sparse Dictionary Methods.
作者： A. Apicella , F. Isgrò , R. Prevete , G. Tamburrini
DOI: 10.1142/S0129065720500409
关键词:
摘要: Machine learning (ML) systems are affected by a pervasive lack of transparency. The eXplainable Artificial Intelligence (XAI) research area addresses this problem and the related issue explainin...
sci-hub.st 参考文章(78)
G. Tessitore, R. Prevete, Designing Structured Sparse Dictionaries for Sparse Representation Modeling computer recognition systems. pp. 157- 166 ,(2011) , 10.1007/978-3-642-20320-6_17
Andreu Català, Cecilio Angulo, Haydemar Núñez, Rule extraction from support vector machines. the european symposium on artificial neural networks. pp. 107- 112 ,(2002)
Finding Groups in Data John Wiley & Sons, Inc.. ,(1990) , 10.1002/9780470316801
Mehran Ahmadlou, Hojjat Adeli, Enhanced probabilistic neural network with local decision circles: A robust classifier Computer-Aided Engineering. ,vol. 17, pp. 197- 210 ,(2010) , 10.3233/ICA-2010-0345
Diederik P. Kingma, Jimmy Ba, Adam: A Method for Stochastic Optimization arXiv: Learning. ,(2014)
Sebastian Bach, Alexander Binder, Grégoire Montavon, Frederick Klauschen, Klaus-Robert Müller, Wojciech Samek, On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation. PLOS ONE. ,vol. 10, pp. 0130140- ,(2015) , 10.1371/JOURNAL.PONE.0130140
Hod Lipson, Jeff Clune, Thomas J. Fuchs, Jason Yosinski, Anh Mai Nguyen, Understanding Neural Networks Through Deep Visualization arXiv: Computer Vision and Pattern Recognition. ,(2015)
Matthew D. Zeiler, Rob Fergus, Visualizing and Understanding Convolutional Networks european conference on computer vision. pp. 818- 833 ,(2014) , 10.1007/978-3-319-10590-1_53
Denis J. Hilton, Conversational processes and causal explanation. Psychological Bulletin. ,vol. 107, pp. 65- 81 ,(1990) , 10.1037/0033-2909.107.1.65
Stefan Haufe, Frank Meinecke, Kai Görgen, Sven Dähne, John-Dylan Haynes, Benjamin Blankertz, Felix Bießmann, On the interpretation of weight vectors of linear models in multivariate neuroimaging. NeuroImage. ,vol. 87, pp. 96- 110 ,(2014) , 10.1016/J.NEUROIMAGE.2013.10.067