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Evaluation model of cognitive distraction state based on eye-tracking data using neural networks.

, , , , and . ICCI*CC, page 428-434. IEEE Computer Society, (2013)

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Applying qualitative reasoning to a driver's cognitive mental load., , , and . IEEE ICCI*CC, page 67-74. IEEE Computer Society, (2011)Common-sense approach to avoiding near-miss incidents of pedestrians suddenly crossing narrow roads., , and . IEEE ICCI*CC, page 335-340. IEEE Computer Society, (2017)Identifying Driver's Cognitive Load Using Inductive Logic Programming., , , and . ILP, volume 7842 of Lecture Notes in Computer Science, page 166-177. Springer, (2012)BEIRA: A Geo-semantic Clustering Method for Area Summary., and . WISE, volume 4831 of Lecture Notes in Computer Science, page 111-122. Springer, (2007)Analysis of driver's visual attention using near-miss incidents., and . IEEE ICCI*CC, page 353-360. IEEE Computer Society, (2017)Considering eye movement type when applying random forest to detect cognitive distraction., , , and . ICCI*CC, page 377-382. IEEE Computer Society, (2016)Performance of pheromone model for predicting traffic congestion., , , , and . AAMAS, page 73-80. ACM, (2006)Simulation of Information Propagation for Vehicles in Physical Communication Network Models., , and . SAINT Workshops, page 408-416. IEEE Computer Society, (2004)Meta-cognition for inferring car driver cognitive behavior from driving recorder data., and . ICCI*CC, page 367-372. IEEE Computer Society, (2016)Evaluation model of cognitive distraction state based on eye-tracking data using neural networks., , , , and . ICCI*CC, page 428-434. IEEE Computer Society, (2013)