• 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 17 matches

• 2022
• 
  Marieke Schouwstra, Julian Jara-Ettinger, Paula Rubio-Fernández:
  Language universals rely on social cognition: Computational models of the use of this and that to redirect the receiver's attention. CogSci 2022
• 2017
• 
  Uzay Çetin:
  Computational models of attention competition (Bilgisayımsal dikkat rekabeti modelleri). Boğaziçi University, Turkey, 2017
• 2016
• 
  Giuseppe Boccignone:
  A probabilistic tour of visual attention and gaze shift computational models. CoRR abs/1607.01232 (2016)
• 2015
• 
  Laurent Itti, Ali Borji:
  Computational models of attention. CoRR abs/1510.07182 (2015)
• 
  (Withdrawn) From the human visual system to the computational models of visual attention: a survey. Artif. Intell. Rev. 43(4): 601 (2015)
• 2014
• 
  Philipp Schwedhelm, Stefan Treue:
  Attentional Top-Down Modulation, Models of. Encyclopedia of Computational Neuroscience 2014
• 
  Xianlei Dong, Johan Bollen:
  Computational models of consumer confidence from large-scale online attention data: crowd-sourcing econometrics. CoRR abs/1409.2129 (2014)
• 2013
• 
  Akisato Kimura, Ryo Yonetani, Takatsugu Hirayama:
  Computational Models of Human Visual Attention and Their Implementations: A Survey. IEICE Trans. Inf. Syst. 96-D(3): 562-578 (2013)
• 2012
• 
  Varun Jampani, Ujjwal, Jayanthi Sivaswamy, Vivek Vaidya:
  Assessment of computational visual attention models on medical images. ICVGIP 2012: 80
• 2011
• 
  John K. Tsotsos, Albert L. Rothenstein:
  Computational models of visual attention. Scholarpedia 6(1): 6201 (2011)
• 2010
• 
  Rianne van Lambalgen, Peter-Paul van Maanen:
  Personalisation of Computational Models of Attention by Simulated Annealing Parameter Tuning. Web Intelligence/IAT Workshops 2010: 376-381
• 2009
• 
  Hyun-Chul Lee, Poong-Hyun Seong:
  A computational model for evaluating the effects of attention, memory, and mental models on situation assessment of nuclear power plant operators. Reliab. Eng. Syst. Saf. 94(11): 1796-1805 (2009)
• 2007
• 
  Frederick Shic, Brian Scassellati:
  A Behavioral Analysis of Computational Models of Visual Attention. Int. J. Comput. Vis. 73(2): 159-177 (2007)
• 2006
• 
  Joachim Gross:
  The role of neural oscillations in attention: Perspectives for computational models. Neural Networks 19(9): 1445-1446 (2006)
• 
  Antonino Raffone:
  Synthetic computational models of selective attention. Neural Networks 19(9): 1458-1460 (2006)
• 
  Marius Usher:
  What has been learned from computational models of attention. Neural Networks 19(9): 1440-1442 (2006)
• 1993
• 
  Ernst Niebur, Bruno A. Olshausen:
  Neurobiology, Psychophysics, and Computational Models of Visual Attention. NIPS 1993: 1167-1168