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Facial action recognition using very deep networks for highly imbalanced class distribution.

, , , , and . APSIPA, page 1368-1372. IEEE, (2017)

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Annihilating branching processes, , and . Stochastic Processes and their Applications, 37 (1): 1--17 (February 1991)Concept and Validation of a Large-scale Human-machine Safety System Based on Real-time UWB Indoor Localization*., , , , and . IROS, page 201-207. IEEE, (2019)Speech Emotion Recognition using Spectral Normalized CycleGAN., , , and . ACII Workshops, page 93-99. IEEE, (2019)Game suspension boundary detection by reading two clocks for broadcast basketball video., and . ICIMCS, page 45:1-45:4. ACM, (2015)Design and locomotion analysis of a novel deformable mobile robot with worm-like, self-crossing and rolling motion., , , and . Robotica, 34 (9): 1961-1978 (2016)Improving Model Stability and Training Efficiency in Fast, High Quality Expressive Voice Conversion System., , , , , , and . ICMI Companion, page 75-79. ACM, (2021)An Approach to Evaluation Component Design in Building Serious Game., and . Edutainment, volume 5670 of Lecture Notes in Computer Science, page 141-148. Springer, (2009)Facial action recognition using very deep networks for highly imbalanced class distribution., , , , and . APSIPA, page 1368-1372. IEEE, (2017)Reconfiguration Analysis and Motion Planning of a Novel Reconfigurable Mobile Manipulator Torso., , , and . ICRA, page 6961-6966. IEEE, (2018)Towards reliable robot packing system based on deep reinforcement learning., , , , and . Adv. Eng. Informatics, (August 2023)