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Knowledge-based and data-driven behavioral modeling techniques in engagement simulation.

, , , , and . Simul., 99 (10): 1069-1089 (October 2023)

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Dimensional Emotion Recognition from Speech Using Modulation Spectral Features and Recurrent Neural Networks., , , , and . APSIPA, page 524-528. IEEE, (2019)A Unifying Framework for UML Profile-based Cognitive Modeling: Development and Experience., , , , and . SimuTools, page 1-10. ACM, (2017)Auditory-Inspired End-to-End Speech Emotion Recognition Using 3D Convolutional Recurrent Neural Networks Based on Spectral-Temporal Representation., , , , and . ICME, page 1-6. IEEE Computer Society, (2018)Deep Investigation of Intermediate Representations in Self-Supervised Learning Models for Speech Emotion Recognition., and . ICASSP Workshops, page 1-5. IEEE, (2023)Speech emotion recognition using multichannel parallel convolutional recurrent neural networks based on gammatone auditory filterbank., , , , and . APSIPA, page 1750-1755. IEEE, (2017)Feasibility of vocal emotion conversion on modulation spectrogram for simulated cochlear implants., , , and . EUSIPCO, page 1834-1838. IEEE, (2017)Motion Simulation of Rocket Based on Simulink., , , and . SimuTools (2), volume 370 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 531-544. Springer, (2020)A WESS-based method for anti-submarine simulation through planning waypoints of helicopter (WIP)., , , and . SummerSim, page 15. Society for Computer Simulation International / ACM DL, (2016)NoCIC: a spice-based interconnect planning tool emphasizing aggressive on-chip interconnect circuit methods., , , , , and . SLIP, page 69-75. ACM, (2004)Speech Emotion Recognition Using Semi-Supervised Learning with Efficient Labeling Strategies., and . ASRU, page 358-365. IEEE, (2021)