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Sparse Coding of Cardiac Signals for Automated Component Selection after Blind Source Separation.

, , , , , and . CinC, www.cinc.org, (2016)

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Low-Power Classification using FPGA - An Approach based on Cellular Automata, Neural Networks, and Hyperdimensional Computing., , , and . ICMLA, page 370-375. IEEE, (2019)Vector Symbolic Architectures as a Computing Framework for Nanoscale Hardware., , , , , , , , , and 1 other author(s). CoRR, (2021)Associative synthesis of finite state automata model of a controlled object with hyperdimensional computing., , and . IECON, page 3276-3281. IEEE, (2017)Fly-The-Bee: A Game Imitating Concept Learning in Bees., , , , and . BICA, volume 71 of Procedia Computer Science, page 25-30. Elsevier, (2015)Comparison of Machine Learning Techniques for Vehicle Classification Using Road Side Sensors., , , and . ITSC, page 572-577. IEEE, (2015)Perceptron Theory Can Predict the Accuracy of Neural Networks., , , , and . IEEE Trans. Neural Networks Learn. Syst., 35 (7): 9885-9899 (July 2024)Commentaries on "Learning Sensorimotor Control with Neuromorphic Sensors: Toward Hyperdimensional Active Perception" Science Robotics Vol 4 Issue 30 (2019) 1-10., , and . CoRR, (2020)Computing with Residue Numbers in High-Dimensional Representation., , , , , , and . CoRR, (2023)A Domain Knowledge-Based Solution for Human Activity Recognition: The UJA Dataset Analysis., and . UCAmI, volume 2 of MDPI Proceedings, page 1261. MDPI, (2018)Integer Echo State Networks: Efficient Reservoir Computing for Digital Hardware., , , and . IEEE Trans. Neural Networks Learn. Syst., 33 (4): 1688-1701 (2022)