Keyword : interpretability


Robustness of Deep Learning Models in Dermatological Evaluation: A Critical Assessment
Sourav MISHRA Subhajit CHAUDHURY Hideaki IMAIZUMI Toshihiko YAMASAKI 
Publication:   
Publication Date: 2021/03/01
Vol. E104-D  No. 3 ; pp. 419-429
Type of Manuscript:  PAPER
Category: Artificial Intelligence, Data Mining
Keyword: 
deep learningdermatologyinterpretabilityrobustness
 Summary | Full Text:PDF(1.9MB)

Multi-Task Convolutional Neural Network Leading to High Performance and Interpretability via Attribute Estimation
Keisuke MAEDA Kazaha HORII Takahiro OGAWA Miki HASEYAMA 
Publication:   
Publication Date: 2020/12/01
Vol. E103-A  No. 12 ; pp. 1609-1612
Type of Manuscript:  Special Section LETTER (Special Section on Smart Multimedia & Communication Systems)
Category: Neural Networks and Bioengineering
Keyword: 
multi-task convolutional neural networkimage classificationattribute estimationinterpretability
 Summary | Full Text:PDF(930.7KB)

Sensitivity-Characterised Activity Neurogram (SCAN) for Visualising and Understanding the Inner Workings of Deep Neural Network
Khe Chai SIM 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2016/10/01
Vol. E99-D  No. 10 ; pp. 2423-2430
Type of Manuscript:  INVITED PAPER (Special Section on Recent Advances in Machine Learning for Spoken Language Processing)
Category: 
Keyword: 
deep neural networkvisualisationinterpretability
 Summary | Full Text:PDF(1.6MB)