• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 14 matches

• 2023
• 
  Jinbin Huang, Aditi Mishra, Bum Chul Kwon, Chris Bryan:
  ConceptExplainer: Interactive Explanation for Deep Neural Networks from a Concept Perspective. IEEE Trans. Vis. Comput. Graph. 29(1): 831-841 (2023)
• 
  Parth Padalkar, Huaduo Wang, Gopal Gupta:
  NeSyFOLD: A System for Generating Logic-based Explanations from Convolutional Neural Networks. CoRR abs/2301.12667 (2023)
• 2022
• 
  Xianpeng Guo, Biao Hou, Zitong Wu, Bo Ren, Shuang Wang, Licheng Jiao:
  Prob-POS: A Framework for Improving Visual Explanations from Convolutional Neural Networks for Remote Sensing Image Classification. Remote. Sens. 14(13): 3042 (2022)
• 2021
• 
  Linjiang Zhou, Chao Ma, Xiaochuan Shi, Dian Zhang, Wei Li, Libing Wu:
  Salience-CAM: Visual Explanations from Convolutional Neural Networks via Salience Score. IJCNN 2021: 1-8
• 
  Youngeun Kim, Priyadarshini Panda:
  Visual Explanations from Spiking Neural Networks using Interspike Intervals. CoRR abs/2103.14441 (2021)
• 
  Hyeoncheol Cho, Youngrock Oh, Eunjoo Jeon:
  SEEN: Sharpening Explanations for Graph Neural Networks using Explanations from Neighborhoods. CoRR abs/2106.08532 (2021)
• 2020
• 
  Lei Zhao, Yi Zeng, Peng Liu, Guojin He:
  Band Selection via Explanations From Convolutional Neural Networks. IEEE Access 8: 56000-56014 (2020)
• 
  Joseph Townsend, Thomas Chaton, João M. Monteiro:
  Extracting Relational Explanations From Deep Neural Networks: A Survey From a Neural-Symbolic Perspective. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3456-3470 (2020)
• 2019
• 
  Mark T. Keane, Eoin M. Kenny:
  How Case-Based Reasoning Explains Neural Networks: A Theoretical Analysis of XAI Using Post-Hoc Explanation-by-Example from a Survey of ANN-CBR Twin-Systems. ICCBR 2019: 155-171
• 
  Jacob R. Kauffmann, Malte Esders, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller:
  From Clustering to Cluster Explanations via Neural Networks. CoRR abs/1906.07633 (2019)
• 2018
• 
  Chengliang Yang, Anand Rangarajan, Sanjay Ranka:
  Visual Explanations From Deep 3D Convolutional Neural Networks for Alzheimer's Disease Classification. AMIA 2018
• 
  Chengliang Yang, Anand Rangarajan, Sanjay Ranka:
  Visual Explanations From Deep 3D Convolutional Neural Networks for Alzheimer's Disease Classification. CoRR abs/1803.02544 (2018)
• 2003
• 
  Rodrigo Bianchi, Claudia Regina Milaré, André Carlos Ponce de Leon Ferreira de Carvalho:
  E. Coli Promoter Gene Sequence and Human Splice Site Identification with Explanation by Extracting Rules from Trained Artificial Neural Networks. WOB 2003: 19-27
• 1998
• 
  Timothy Alexander Corbett-Clark:
  Explanation from neural networks. University of Oxford, UK, 1998