Denis Kleyko

发表

Packet-less medium access approach for dependable wireless event passing in highly noisy environments

Nikita Lyamin, Evgeny Osipov, Laurynas Riliskis, 2012 .

AI-Based Malicious Network Traffic Detection in VANETs

Alexey V. Vinel, Nikita Lyamin, Denis Kleyko, 2018, IEEE Network.

HyperEmbed: Tradeoffs Between Resources and Performance in NLP Tasks with Hyperdimensional Computing enabled Embedding of n-gram Statistics pdf

Marcus Liwicki, Denis Kleyko, Kumar Shridhar, 2020, ArXiv.

Modality classification of medical images with distributed representations based on cellular automata reservoir computing

Evgeny Osipov, Denis Kleyko, Suet-Peng Yong, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Low-Power Classification using FPGA—An Approach based on Cellular Automata, Neural Networks, and Hyperdimensional Computing

Denis Kleyko, Niklas Karvonen, Joakim Nilsson, 2019, 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA).

End to End Binarized Neural Networks for Text Classification pdf

Denis Kleyko, Kumar Shridhar, Harshil Jain, 2020, SUSTAINLP.

Commentaries on "Learning Sensorimotor Control with Neuromorphic Sensors: Toward Hyperdimensional Active Perception" [Science Robotics Vol 4 Issue 30 (2019) 1-10 pdf

Denis Kleyko, Ross W. Gayler, Evgeny Osipov, 2020, ArXiv.

An Approach for Self-Adaptive Path Loss Modeling for Accurate Positioning in Underground Environments pdf

Evgeny Osipov, Denis Kleyko, Evgeny Osipov, 2015, ArXiv.

A Hyperdimensional Computing Framework for Analysis of Cardiorespiratory Synchronization During Paced Deep Breathing

Evgeny Osipov, Denis Kleyko, Urban Wiklund, 2019, IEEE Access.

Variable Binding for Sparse Distributed Representations: Theory and Applications pdf

Friedrich T. Sommer, Denis Kleyko, E. Paxon Frady, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Robust Methods for Automated Selection of Cardiac Signals After Blind Source Separation

Hagen Malberg, Sebastian Zaunseder, Evgeny Osipov, 2018, IEEE Transactions on Biomedical Engineering.

Imitation of honey bees’ concept learning processes using Vector Symbolic Architectures

Evgeny Osipov, Denis Kleyko, Asad I. Khan, 2015, BICA 2015.

Integer Echo State Networks: Hyperdimensional Reservoir Computing pdf

Evgeny Osipov, Denis Kleyko, Edward Paxon Frady, 2017, ArXiv.

Pattern Recognition with Vector Symbolic Architectures

Denis Kleyko, 2016 .

Perceptron Theory for Predicting the Accuracy of Neural Networks pdf

Friedrich T. Sommer, Denis Kleyko, Antonello Rosato, 2020, ArXiv.

A Theory of Sequence Indexing and Working Memory in Recurrent Neural Networks

Friedrich T. Sommer, Denis Kleyko, Edward Paxon Frady, 2018, Neural Computation.

Detection of Atrial Fibrillation from Short ECGs: Minimalistic Complexity Analysis for Feature-Based Classifiers

Evgeny Osipov, Denis Kleyko, Urban Wiklund, 2018, 2018 Computing in Cardiology Conference (CinC).

Neural Distributed Autoassociative Memories: A Survey pdf

Dmitri A. Rachkovskij, Evgeny Osipov, Denis Kleyko, 2017, ArXiv.

Trajectory clustering of road traffic in urban environments using incremental machine learning in combination with hyperdimensional computing

Daswin De Silva, Damminda Alahakoon, Tharindu R. Bandaragoda, 2019, 2019 IEEE Intelligent Transportation Systems Conference (ITSC).

Hyperdimensional Computing in Industrial Systems: The Use-Case of Distributed Fault Isolation in a Power Plant

Nikolaos Papakonstantinou, Valeriy Vyatkin, Evgeny Osipov, 2018, IEEE Access.

No Two Brains Are Alike: Cloning a Hyperdimensional Associative Memory Using Cellular Automata Computations

Evgeny Osipov, Denis Kleyko, Evgeny Osipov, 2017, BICA 2017.

Modification of Holographic Graph Neuron Using Sparse Distributed Representations

Dmitri A. Rachkovskij, Evgeny Osipov, Denis Kleyko, 2016 .

On methodology of implementing distributed function block applications using TinyOS WSN nodes

Valeriy Vyatkin, Zhibo Pang, Sandeep Patil, 2014, Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA).

Real-Time Jamming DoS Detection in Safety-Critical V2V C-ITS Using Data Mining

Nikita Lyamin, Alexey Vinel, Denis Kleyko, 2019, IEEE Communications Letters.

Integer Self-Organizing Maps for Digital Hardware

Daswin De Silva, Damminda Alahakoon, Evgeny Osipov, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Fault detection in the hyperspace: Towards intelligent automation systems

Nikolaos Papakonstantinou, Valeriy Vyatkin, Arash Mousavi, 2015, 2015 IEEE 13th International Conference on Industrial Informatics (INDIN).

Parameter Estimation for the Resulting Logical Channel Formed by Minimizing Channel Switching

Denis Kleyko, Alexey Shapin, O. G. Melent'ev, 2019, Autom. Remote. Control..

Vector Symbolic Architectures and their applications: Computing with random vectors in a hyperdimensional space

Denis Kleyko, D. Kleyko, 2018 .

Autoscaling Bloom filter: controlling trade-off between true and false positives

Denis Kleyko, Ross W. Gayler, Abbas Rahimi, 2017, Neural Computing and Applications.

High-Dimensional Computing as a Nanoscalable Paradigm

Jan M. Rabaey, Bruno Olshausen, Abbas Rahimi, 2017, IEEE Transactions on Circuits and Systems I: Regular Papers.

Cellular Automata Can Reduce Memory Requirements of Collective-State Computing pdf

Friedrich T. Sommer, Denis Kleyko, E. Paxon Frady, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Holographic Graph Neuron: A Bioinspired Architecture for Pattern Processing

Y. Ahmet Sekercioglu, Evgeny Osipov, Denis Kleyko, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Vector-Based Analysis of the Similarity Between Breathing and Heart Rate During Paced Deep Breathing

Evgeny Osipov, Denis Kleyko, Urban Wiklund, 2018, 2018 Computing in Cardiology Conference (CinC).

Theory of the superposition principle for randomized connectionist representations in neural networks pdf

Friedrich T. Sommer, Denis Kleyko, Edward Paxon Frady, 2017, ArXiv.

An Automated Machine Learning Approach for Smart Waste Management Systems

Denis Kleyko, Fredrik Blomstedt, David Rutqvist, 2020, IEEE Transactions on Industrial Informatics.

Recognizing Permuted Words with Vector Symbolic Architectures: A Cambridge Test for Machines

Evgeny Osipov, Denis Kleyko, Ross W. Gayler, 2016, BICA.

Fly-The-Bee: A Game Imitating Concept Learning in Bees

Evgeny Osipov, Denis Kleyko, Magnus Björk, 2015, BICA.

Integer Echo State Networks: Efficient Reservoir Computing for Digital Hardware

Denis Kleyko, E. Paxon Frady, Evgeny Osipov, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Dependable MAC Layer Architecture Based on Holographic Data Representation Using Hyper-Dimensional Binary Spatter Codes

Nikita Lyamin, Evgeny Osipov, Laurynas Riliskis, 2012, MACOM.

Classification and Recall With Binary Hyperdimensional Computing: Tradeoffs in Choice of Density and Mapping Characteristics

Jan M. Rabaey, Abbas Rahimi, Dmitri A. Rachkovskij, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Neural Autoassociative Memories for Binary Vectors: A Survey

Evgeny Osipov, Denis Kleyko, Volodymyr Gritsenko, 2017 .

Brain-like classifier of temporal patterns

Evgeny Osipov, Denis Kleyko, Evgeny Osipov, 2014, 2014 International Conference on Computer and Information Sciences (ICCOINS).

Modified Algorithm of Dynamic Frequency Hopping (DFH) in the IEEE 802.22 Standard

Nikita Lyamin, Evgeny Osipov, Denis Kleyko, 2014, MACOM.

Sparse coding of cardiac signals for automated component selection after blind source separation

Hagen Malberg, Sebastian Zaunseder, Evgeny Osipov, 2016, 2016 Computing in Cardiology Conference (CinC).

Distributed Representation of n-gram Statistics for Boosting Self-organizing Maps with Hyperdimensional Computing

Valeriy Vyatkin, Daswin De Silva, Denis Kleyko, 2019, Ershov Informatics Conference.

A Domain Knowledge-Based Solution for Human Activity Recognition: The UJA Dataset Analysis

Denis Kleyko, Niklas Karvonen, 2018, UCAmI.

Exploiting bacterial properties for multi-hop nanonetworks

Yevgeni Koucheryavy, Alexey V. Vinel, Nikita Lyamin, 2014, IEEE Communications Magazine.

On Bidirectional Transitions between Localist and Distributed Representations: The Case of Common Substrings Search Using Vector Symbolic Architecture

Evgeny Osipov, Denis Kleyko, Evgeny Osipov, 2014, BICA.

Poster: Approximate Sensing with Vector Symbolic Architectures: The case of fault isolation in distributed automation systems

Nikolaos Papakonstantinou, Evgeny Osipov, Denis Kleyko, 2017, EWSN.

Vehicle classification using road side sensors and feature-free data smashing approach

Roland Hostettler, Nikita Lyamin, Wolfgang Birk, 2016, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC).

Associative synthesis of finite state automata model of a controlled object with hyperdimensional computing

Alexander Legalov, Evgeny Osipov, Denis Kleyko, 2017, IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society.

Performance Peculiarities of Viterbi Decoder in Mathworks Simulink, GNU Radio and Other Systems with Likewise Implementation

Nikita Lyamin, Evgeny Osipov, Denis Kleyko, 2018, 2018 XIV International Scientific-Technical Conference on Actual Problems of Electronics Instrument Engineering (APEIE).

Comparison of Machine Learning Techniques for Vehicle Classification Using Road Side Sensors

Roland Hostettler, Wolfgang Birk, Evgeny Osipov, 2015, 2015 IEEE 18th International Conference on Intelligent Transportation Systems.

Density Encoding Enables Resource-Efficient Randomly Connected Neural Networks

Evgeny Osipov, Denis Kleyko, Urban Wiklund, 2019, IEEE Transactions on Neural Networks and Learning Systems.

NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation pdf

Ondrej Dusek, Eduard Hovy, Niklas Muennighoff, 2021, ArXiv.

A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges pdf

Dmitri A. Rachkovskij, Evgeny Osipov, Denis Kleyko, 2021, ArXiv.

Generalized Learning Vector Quantization for Classification in Randomized Neural Networks and Hyperdimensional Computing

Jan M. Rabaey, Bruno A. Olshausen, Denis Kleyko, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

HyperSeed: Unsupervised Learning with Vector Symbolic Architectures pdf

Daswin De Silva, Damminda Alahakoon, Evgeny Osipov, 2021, ArXiv.

On Effects of Compression with Hyperdimensional Computing in Distributed Randomized Neural Networks

Massimo Panella, Evgeny Osipov, Denis Kleyko, 2021, IWANN.

Computing on Functions Using Randomized Vector Representations (in brief) pdf

Bruno A. Olshausen, Friedrich T. Sommer, Denis Kleyko, 2021, NICE.

Vector Symbolic Architectures as a Computing Framework for Nanoscale Hardware pdf

Jan M. Rabaey, Bruno A. Olshausen, Abbas Rahimi, 2021, ArXiv.

HyperEmbed: Tradeoffs Between Resources and Performance in NLP Tasks with Hyperdimensional Computing Enabled Embedding of n-gram Statistics

Marcus Liwicki, Evgeny Osipov, Denis Kleyko, 2019, 2021 International Joint Conference on Neural Networks (IJCNN).

A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations pdf

Abbas Rahimi, Dmitri A. Rachkovskij, Evgeny Osipov, 2021, ArXiv.

Hyperdimensional Computing for Efficient Distributed Classification with Randomized Neural Networks

Massimo Panella, Denis Kleyko, Antonello Rosato, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Recursive Binding for Similarity-Preserving Hypervector Representations of Sequences

Dmitri A. Rachkovskij, Denis Kleyko, 2022 .