• 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 19 matches

• 2022
• 
  Negin Veisi, Gholamreza Karimi, Mahnaz Ranjbar, Derek Abbott:
  Role of astrocytes in the self-repairing characteristics of analog neural networks. Neurocomputing 496: 158-165 (2022)
• 
  Qinghui Hong, Hegan Chen, Jingru Sun, Chunhua Wang:
  Memristive Circuit Implementation of a Self-Repairing Network Based on Biological Astrocytes in Robot Application. IEEE Trans. Neural Networks Learn. Syst. 33(5): 2106-2120 (2022)
• 
  Ehsan Rahiminejad, Fatemeh Azad, Adel Parvizi-Fard, Mahmood Amiri, Bernabé Linares-Barranco:
  A Neuromorphic CMOS Circuit With Self-Repairing Capability. IEEE Trans. Neural Networks Learn. Syst. 33(5): 2246-2258 (2022)
• 2021
• 
  Francisco Pozo, Guillermo Rodríguez-Navas, Hans Hansson:
  Self-Healing Protocol: Repairing Schedules Online after Link Failures in Time-Triggered Networks. DSN 2021: 129-140
• 
  Klas Leino, Aymeric Fromherz, Ravi Mangal, Matt Fredrikson, Bryan Parno, Corina S. Pasareanu:
  Self-Repairing Neural Networks: Provable Safety for Deep Networks via Dynamic Repair. CoRR abs/2107.11445 (2021)
• 2019
• 
  Ming-Chi Tsai, Frank Yeong-Sung Lin, Yean-Fu Wen:
  Lagrangian-Relaxation-Based Self-Repairing Mechanism for Wi-Fi Networks. IEEE Access 7: 15868-15883 (2019)
• 2018
• 
  Junxiu Liu, Jim Harkin, Liam P. Maguire, Liam McDaid, John J. Wade:
  SPANNER: A Self-Repairing Spiking Neural Network Hardware Architecture. IEEE Trans. Neural Networks Learn. Syst. 29(4): 1287-1300 (2018)
• 2017
• 
  Chengming Luo, Wei Li, Xinnan Fan, Hai Yang, Jianjun Ni, Xuewu Zhang, Gaifang Xin, Pengfei Shi:
  Positioning technology of mobile vehicle using self-repairing heterogeneous sensor networks. J. Netw. Comput. Appl. 93: 110-122 (2017)
• 
  Junxiu Liu, Liam McDaid, Jim Harkin, John J. Wade, Shvan Karim, Anju P. Johnson, Alan G. Millard, David M. Halliday, Andy M. Tyrrell, Jon Timmis:
  Self-repairing Learning Rule for Spiking Astrocyte-Neuron Networks. ICONIP (6) 2017: 384-392
• 2016
• 
  Junxiu Liu, Jim Harkin, Liam McDaid, David M. Halliday, Andy M. Tyrrell, Jon Timmis:
  Self-repairing mobile robotic car using astrocyte-neuron networks. IJCNN 2016: 1379-1386
• 
  Junxiu Liu, Jim Harkin, Liam P. Maguire, Liam McDaid, John J. Wade, Malachy McElholm:
  Self-repairing hardware with astrocyte-neuron networks. ISCAS 2016: 1350-1353
• 2015
• 
  Muhammad Naeem, Liam McDaid, Jim Harkin, John J. Wade, John Marsland:
  On the Role of Astroglial Syncytia in Self-Repairing Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 26(10): 2370-2380 (2015)
• 2010
• 
  Loucif Amirouche, Djamel Djenouri, Nadjib Badache:
  Self-repairing Clusters for Time-Efficient and Scalable Actor-Fault-Tolerance in Wireless Sensor and Actor Networks. AccessNets 2010: 113-123
• 2009
• 
  Shahram Shah-Heydari, Oliver W. W. Yang:
  Heuristic algorithms for designing self-repairing protection trees in mesh networks. Comput. Networks 53(14): 2537-2551 (2009)
• 2008
• 
  Luca Mottola, Gianpaolo Cugola, Gian Pietro Picco:
  A Self-Repairing Tree Topology Enabling Content-Based Routing in Mobile Ad Hoc Networks. IEEE Trans. Mob. Comput. 7(8): 946-960 (2008)
• 2007
• 
  Shahram Shah-Heydari, Oliver W. W. Yang:
  Performance study of self-repairing unicast hierarchical protection trees in mesh networks. BROADNETS 2007: 611-620
• 1993
• 
  Arthur M. Farley, Andrzej Proskurowski:
  Self-Repairing Networks. Parallel Process. Lett. 3: 381-391 (1993)
• 
  Thomas Petsche, Bradley W. Dickinson:
  Trellis Codes, Receptive Fields, and Fault Tolerant, Self-Repairing Neural Networks. Machine Learning: From Theory to Applications 1993: 241-268
• 1990
• 
  Thomas Petsche, Bradley W. Dickinson:
  Trellis codes, receptive fields, and fault tolerant, self-repairing neural networks. IEEE Trans. Neural Networks 1(2): 154-166 (1990)