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Knolling bot: A Transformer-based Approach to Organizing a Messy Table., , , , и . CoRR, (2023)Mobile robot navigation with the combination of supervised learning in cerebellum and reward-based learning in basal ganglia., , и . Cogn. Syst. Res., (2020)A Low-Noise CMOS Front-End with 534 MΩ Transimpedance Gain for Single-Molecule Signal Acquisition., , , , , , и . NEWCAS, стр. 1-5. IEEE, (2023)SLFB-CNN: An interpretable neural network privacy protection framework., , и . CIS, стр. 298-302. IEEE, (2020)On the Origins of Self-Modeling., , , и . CoRR, (2022)Knolling bot 2.0: Enhancing Object Organization with Self-supervised Graspability Estimation., , и . CoRR, (2023)A privacy preservation framework for feedforward-designed convolutional neural networks., , , , и . Neural Networks, (2022)PyCinemetrics: Computational film studies tool based on deep learning and PySide2., , , , , , , , , и 1 other автор(ы). SoftwareX, (2024)Identification of structural parameters based on PZT impedance using genetic algorithms., , , и . IEEE Congress on Evolutionary Computation, стр. 4170-4177. IEEE, (2007)Differential Privacy Preservation in Interpretable Feedforward-Designed Convolutional Neural Networks., , , , и . TrustCom, стр. 631-638. IEEE, (2020)