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Denis Kleyko

Showing results (1-10 of 23) with videos related to

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Biomedical Physics & Engineering Express|January 13, 2021
A Comprehensive Study of Complexity and Performance of Automatic Detection of Atrial Fibrillation: Classification of Long ECG Recordings Based on the PhysioNet Computing in Cardiology Challenge 2017Denis Kleyko, Evgeny Osipov, Urban Wiklund
IEEE Transactions on Neural Networks and Learning Systems|September 3, 2021
Variable Binding for Sparse Distributed Representations: Theory and ApplicationsEdward Paxon Frady, Denis Kleyko, Friedrich T Sommer
IEEE Transactions on Neural Networks and Learning Systems|October 26, 2021
Cellular Automata Can Reduce Memory Requirements of Collective-State ComputingDenis Kleyko, Edward Paxon Frady, Friedrich T Sommer
Neural Computation|April 14, 2018
A Theory of Sequence Indexing and Working Memory in Recurrent Neural NetworksE Paxon Frady, Denis Kleyko, Friedrich T Sommer
IEEE Transactions on Neural Networks and Learning Systems|December 22, 2020
Integer Echo State Networks: Efficient Reservoir Computing for Digital HardwareDenis Kleyko, Edward Paxon Frady, Mansour Kheffache, et al.
Frontiers in Neuroscience|January 26, 2023
On separating long- and short-term memories in hyperdimensional computingJeffrey L Teeters, Denis Kleyko, Pentti Kanerva, et al.
IEEE Transactions on Neural Networks and Learning Systems|August 25, 2020
Density Encoding Enables Resource-Efficient Randomly Connected Neural NetworksDenis Kleyko, Mansour Kheffache, E Paxon Frady, et al.
IEEE Transactions on Neural Networks and Learning Systems|March 25, 2022
Generalized Key-Value Memory to Flexibly Adjust Redundancy in Memory-Augmented NetworksDenis Kleyko, Geethan Karunaratne, Jan M Rabaey, et al.
Neural Computation|March 5, 2026
Multiclass Linear Perceptrons With Multiplicative MarginsDmitri Rachkovskij, Evgeny Osipov, Olexander Volkov, et al.
IEEE Transactions on Neural Networks and Learning Systems|July 12, 2018
Classification and Recall With Binary Hyperdimensional Computing: Tradeoffs in Choice of Density and Mapping CharacteristicsDenis Kleyko, Abbas Rahimi, Dmitri A Rachkovskij, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
Biomedical Physics & Engineering Express|January 13, 2021
A Comprehensive Study of Complexity and Performance of Automatic Detection of Atrial Fibrillation: Classification of Long ECG Recordings Based on the PhysioNet Computing in Cardiology Challenge 2017Denis Kleyko, Evgeny Osipov, Urban Wiklund
IEEE Transactions on Neural Networks and Learning Systems|September 3, 2021
Variable Binding for Sparse Distributed Representations: Theory and ApplicationsEdward Paxon Frady, Denis Kleyko, Friedrich T Sommer
IEEE Transactions on Neural Networks and Learning Systems|October 26, 2021
Cellular Automata Can Reduce Memory Requirements of Collective-State ComputingDenis Kleyko, Edward Paxon Frady, Friedrich T Sommer
Neural Computation|April 14, 2018
A Theory of Sequence Indexing and Working Memory in Recurrent Neural NetworksE Paxon Frady, Denis Kleyko, Friedrich T Sommer
IEEE Transactions on Neural Networks and Learning Systems|December 22, 2020
Integer Echo State Networks: Efficient Reservoir Computing for Digital HardwareDenis Kleyko, Edward Paxon Frady, Mansour Kheffache, et al.
Frontiers in Neuroscience|January 26, 2023
On separating long- and short-term memories in hyperdimensional computingJeffrey L Teeters, Denis Kleyko, Pentti Kanerva, et al.
IEEE Transactions on Neural Networks and Learning Systems|August 25, 2020
Density Encoding Enables Resource-Efficient Randomly Connected Neural NetworksDenis Kleyko, Mansour Kheffache, E Paxon Frady, et al.
IEEE Transactions on Neural Networks and Learning Systems|March 25, 2022
Generalized Key-Value Memory to Flexibly Adjust Redundancy in Memory-Augmented NetworksDenis Kleyko, Geethan Karunaratne, Jan M Rabaey, et al.
Neural Computation|March 5, 2026
Multiclass Linear Perceptrons With Multiplicative MarginsDmitri Rachkovskij, Evgeny Osipov, Olexander Volkov, et al.
IEEE Transactions on Neural Networks and Learning Systems|July 12, 2018
Classification and Recall With Binary Hyperdimensional Computing: Tradeoffs in Choice of Density and Mapping CharacteristicsDenis Kleyko, Abbas Rahimi, Dmitri A Rachkovskij, et al.
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