A classification performance evaluation measure considering data
separability

A classification performance evaluation measure considering data separability

10 November 2022

Weidong Jiang

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Papers citing "A classification performance evaluation measure considering data separability"

8 / 8 papers shown

Title
Reducing Data Complexity using Autoencoders with Class-informed Loss Functions D. Charte F. Charte Francisco Herrera 44 14 0 11 Nov 2021
A Novel Intrinsic Measure of Data Separability Shuyue Guan Murray H. Loew 47 17 0 11 Sep 2021
Incremental Learning via Rate Reduction Ziyang Wu Christina Baek Chong You Yi-An Ma CLL 66 40 0 30 Nov 2020
Neural Complexity Measures Yoonho Lee Juho Lee Sung Ju Hwang Eunho Yang Seungjin Choi 63 9 0 07 Aug 2020
Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction Yaodong Yu Kwan Ho Ryan Chan Chong You Chaobing Song Yi-An Ma SSL 87 197 0 15 Jun 2020
A Rate-Distortion Framework for Explaining Neural Network Decisions Jan Macdonald S. Wäldchen Sascha Hauch Gitta Kutyniok 53 39 0 27 May 2019
How deep is deep enough? -- Quantifying class separability in the hidden layers of deep neural networks Junhong Lin C. Metzner Andreas K. Maier Volkan Cevher Holger Schulze Patrick Krauss 66 59 0 05 Nov 2018
How Complex is your classification problem? A survey on measuring classification complexity A. C. Lorena L. P. F. Garcia Jens Lehmann M. D. Souto T. Ho 55 233 0 10 Aug 2018