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Evgeny Osipov
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- affiliation: Luleå University of Technology, Sweden
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2020 – today
- 2024
- [j22]Vidura Sumanasena, Heshan Fernando, Daswin De Silva
, Beniel Thileepan
Hardware Efficient Direct Policy Imitation Learning for Robotic Navigation in Resource-Constrained Settings. Sensors 24(1): 185 (2024) - [j21]Evgeny Osipov
Hyperseed: Unsupervised Learning With Vector Symbolic Architectures. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6583-6597 (2024) - [c49]Chamod Samarajeewa, Daswin De Silva, Evgeny Osipov, Damminda Alahakoon, Milos Manic:
Causal Reasoning in Large Language Models using Causal Graph Retrieval Augmented Generation. HSI 2024: 1-6 - [c48]Kenny Schlegel, Dmitri A. Rachkovskij, Evgeny Osipov, Peter Protzel, Peer Neubert:
Learnable Weighted Superposition in HDC and its Application to Multi-channel Time Series Classification. IJCNN 2024: 1-7 - [i15]Tom Eivind Glover, Evgeny Osipov, Stefano Nichele:
On when is Reservoir Computing with Cellular Automata Beneficial? CoRR abs/2407.09501 (2024) - 2023
- [j20]Tom Eivind Glover, Pedro G. Lind, Anis Yazidi, Evgeny Osipov, Stefano Nichele:
Investigating Rules and Parameters of Reservoir Computing with Elementary Cellular Automata, with a Criticism of Rule 90 and the Five-Bit Memory Benchmark. Complex Syst. 32(3): 309-351 (2023) - [j19]Denis Kleyko
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations. ACM Comput. Surv. 55(6): 130:1-130:40 (2023) - [j18]Denis Kleyko
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges. ACM Comput. Surv. 55(9): 175:1-175:52 (2023) - 2022
- [j17]Alexey K. Kovalev
Vector Semiotic Model for Visual Question Answering. Cogn. Syst. Res. 71: 52-63 (2022) - [j16]Denis Kleyko
Vector Symbolic Architectures as a Computing Framework for Emerging Hardware. Proc. IEEE 110(10): 1538-1571 (2022) - [j15]Denis Kleyko
Integer Echo State Networks: Efficient Reservoir Computing for Digital Hardware. IEEE Trans. Neural Networks Learn. Syst. 33(4): 1688-1701 (2022) - [c47]Dilantha Haputhanthri
Evaluating Complex Sparse Representation of Hypervectors for Unsupervised Machine Learning. IJCNN 2022: 1-6 - [c46]Thimal Kempitiya, Daswin De Silva, Sachin Kahawala, Dilantha Haputhanthri
Parameterization of Vector Symbolic Approach for Sequence Encoding Based Visual Place Recognition. IJCNN 2022: 1-7 - [c45]Antonello Rosato, Massimo Panella
Few-shot Federated Learning in Randomized Neural Networks via Hyperdimensional Computing. IJCNN 2022: 1-8 - 2021
- [j14]Denis Kleyko
Density Encoding Enables Resource-Efficient Randomly Connected Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3777-3783 (2021) - [c44]Madhavi Gayathri, Amanda Ariyaratne, Sachin Kahawala, Daswin De Silva, Damminda Alahakoon, Vishaka Nanayakkara, Evgeny Osipov, Xinghuo Yu:
Learning Rule Optimization and Comparative Evaluation of Accelerated Self-Organizing Maps for Industrial Applications. IECON 2021: 1-6 - [c43]Pedro Alonso, Kumar Shridhar, Denis Kleyko
HyperEmbed: Tradeoffs Between Resources and Performance in NLP Tasks with Hyperdimensional Computing Enabled Embedding of n-gram Statistics. IJCNN 2021: 1-9 - [c42]Marko Zeman, Evgeny Osipov, Zoran Bosnic:
Compressed Superposition of Neural Networks for Deep Learning in Edge Computing. IJCNN 2021: 1-8 - [c41]Tom Eivind Glover, Pedro G. Lind, Anis Yazidi, Evgeny Osipov, Stefano Nichele:
The Dynamical Landscape of Reservoir Computing with Elementary Cellular Automata. ALIFE 2021: 102 - [c40]Antonello Rosato, Massimo Panella
On Effects of Compression with Hyperdimensional Computing in Distributed Randomized Neural Networks. IWANN (2) 2021: 155-167 - [c39]Daniil E. Kirilenko
Question Answering for Visual Navigation in Human-Centered Environments. MICAI (2) 2021: 31-45 - [i14]Denis Kleyko, Mike Davies, Edward Paxon Frady, Pentti Kanerva, Spencer J. Kent, Bruno A. Olshausen, Evgeny Osipov, Jan M. Rabaey, Dmitri A. Rachkovskij, Abbas Rahimi, Friedrich T. Sommer:
Vector Symbolic Architectures as a Computing Framework for Nanoscale Hardware. CoRR abs/2106.05268 (2021) - [i13]Antonello Rosato, Massimo Panella, Evgeny Osipov, Denis Kleyko:
On Effects of Compression with Hyperdimensional Computing in Distributed Randomized Neural Networks. CoRR abs/2106.09831 (2021) - [i12]Evgeny Osipov, Sachin Kahawala, Dilantha Haputhanthri, Thimal Kempitiya, Daswin De Silva, Damminda Alahakoon, Denis Kleyko:
HyperSeed: Unsupervised Learning with Vector Symbolic Architectures. CoRR abs/2110.08343 (2021) - [i11]Denis Kleyko, Dmitri A. Rachkovskij, Evgeny Osipov, Abbas Rahimi:
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations. CoRR abs/2111.06077 (2021) - [i10]Denis Kleyko, Dmitri A. Rachkovskij, Evgeny Osipov, Abbas Rahimi:
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges. CoRR abs/2112.15424 (2021) - 2020
- [j13]Haibo Cheng
LSTM Based EFAST Global Sensitivity Analysis for Interwell Connectivity Evaluation Using Injection and Production Fluctuation Data. IEEE Access 8: 67289-67299 (2020) - [j12]Denis Kleyko
Autoscaling Bloom filter: controlling trade-off between true and false positives. Neural Comput. Appl. 32(8): 3675-3684 (2020) - [j11]Haibo Cheng
Automatic Recognition of Sucker-Rod Pumping System Working Conditions Using Dynamometer Cards with Transfer Learning and SVM. Sensors 20(19): 5659 (2020) - [c38]Alexey K. Kovalev
Hyperdimensional Representations in Semiotic Approach to AGI. AGI 2020: 231-241 - [i9]Pedro Alonso, Kumar Shridhar, Denis Kleyko, Evgeny Osipov, Marcus Liwicki:
HyperEmbed: Tradeoffs Between Resources and Performance in NLP Tasks with Hyperdimensional Computing enabled Embedding of n-gram Statistics. CoRR abs/2003.01821 (2020) - [i8]Denis Kleyko, Ross W. Gayler, Evgeny Osipov:
Commentaries on "Learning Sensorimotor Control with Neuromorphic Sensors: Toward Hyperdimensional Active Perception" [Science Robotics Vol 4 Issue 30 (2019) 1-10. CoRR abs/2003.11458 (2020)
2010 – 2019
- 2019
- [j10]Denis Kleyko
A Hyperdimensional Computing Framework for Analysis of Cardiorespiratory Synchronization During Paced Deep Breathing. IEEE Access 7: 34403-34415 (2019) - [j9]Daswin De Silva, Zhibo Pang
Guest Editorial: Special Section on Developments in Artificial Intelligence for Industrial Informatics. IEEE Trans. Ind. Informatics 15(6): 3690-3692 (2019) - [c37]Denis Kleyko
Distributed Representation of n-gram Statistics for Boosting Self-organizing Maps with Hyperdimensional Computing. Ershov Informatics Conference 2019: 64-79 - [c36]Denis Kleyko
Integer Self-Organizing Maps for Digital Hardware. IJCNN 2019: 1-8 - [c35]Haibo Cheng
ANN based Interwell Connectivity Analysis in Cyber-Physical Petroleum Systems. INDIN 2019: 199-205 - [c34]Tharindu R. Bandaragoda, Daswin De Silva, Denis Kleyko
Trajectory clustering of road traffic in urban environments using incremental machine learning in combination with hyperdimensional computing. ITSC 2019: 1664-1670 - [i7]Denis Kleyko, Mansour Kheffache, Edward Paxon Frady, Urban Wiklund, Evgeny Osipov:
Density Encoding Enables Resource-Efficient Randomly Connected Neural Networks. CoRR abs/1909.09153 (2019) - 2018
- [j8]Denis Kleyko
Hyperdimensional Computing in Industrial Systems: The Use-Case of Distributed Fault Isolation in a Power Plant. IEEE Access 6: 30766-30777 (2018) - [j7]Daniel Wedekind
Robust Methods for Automated Selection of Cardiac Signals After Blind Source Separation. IEEE Trans. Biomed. Eng. 65(10): 2248-2258 (2018) - [j6]Denis Kleyko
Classification and Recall With Binary Hyperdimensional Computing: Tradeoffs in Choice of Density and Mapping Characteristics. IEEE Trans. Neural Networks Learn. Syst. 29(12): 5880-5898 (2018) - [c33]Anara Abdukalikova, Denis Kleyko
Detection of Atrial Fibrillation From Short ECGs: Minimalistic Complexity Analysis for Feature-Based Classifiers. CinC 2018: 1-4 - [c32]Denis Kleyko
Vector-Based Analysis of the Similarity Between Breathing and Heart Rate During Paced Deep Breathing. CinC 2018: 1-4 - 2017
- [j5]Denis Kleyko
Holographic Graph Neuron: A Bioinspired Architecture for Pattern Processing. IEEE Trans. Neural Networks Learn. Syst. 28(6): 1250-1262 (2017) - [c31]Evgeny Osipov, Denis Kleyko, Nikolaos Papakonstantinou:
Poster: Approximate Sensing with Vector Symbolic Architectures: The case of fault isolation in distributed automation systems. EWSN 2017: 224-225 - [c30]Evgeny Osipov, Denis Kleyko
Associative synthesis of finite state automata model of a controlled object with hyperdimensional computing. IECON 2017: 3276-3281 - [c29]Denis Kleyko
Modality classification of medical images with distributed representations based on cellular automata reservoir computing. ISBI 2017: 1053-1056 - [i6]Denis Kleyko, Abbas Rahimi, Evgeny Osipov:
Autoscaling Bloom Filter: Controlling Trade-off Between True and False Positives. CoRR abs/1705.03934 (2017) - [i5]Denis Kleyko, Edward Paxon Frady, Evgeny Osipov:
Integer Echo State Networks: Hyperdimensional Reservoir Computing. CoRR abs/1706.00280 (2017) - [i4]V. I. Gritsenko, Dmitri A. Rachkovskij, A. A. Frolov, Ross W. Gayler, Denis Kleyko, Evgeny Osipov:
Neural Distributed Autoassociative Memories: A Survey. CoRR abs/1709.00848 (2017) - 2016
- [c28]Denis Kleyko
Modification of Holographic Graph Neuron Using Sparse Distributed Representations. BICA 2016: 39-45 - [c27]Denis Kleyko
Recognizing Permuted Words with Vector Symbolic Architectures: A Cambridge Test for Machines. BICA 2016: 169-175 - [c26]Daniel Wedekind, Denis Kleyko, Evgeny Osipov, Hagen Malberg, Sebastian Zaunseder, Urban Wiklund:
Sparse Coding of Cardiac Signals for Automated Component Selection after Blind Source Separation. CinC 2016 - [c25]Denis Kleyko
Vehicle classification using road side sensors and feature-free data smashing approach. ITSC 2016: 1988-1993 - 2015
- [j4]Laurynas Riliskis
Symphony: A Framework for Accurate and Holistic WSN Simulation. Sensors 15(3): 4677-4699 (2015) - [c24]Denis Kleyko
Fly-The-Bee: A Game Imitating Concept Learning in Bees. BICA 2015: 25-30 - [c23]Denis Kleyko
Fault detection in the hyperspace: Towards intelligent automation systems. INDIN 2015: 1219-1224 - [c22]Denis Kleyko
Comparison of Machine Learning Techniques for Vehicle Classification Using Road Side Sensors. ITSC 2015: 572-577 - [i3]Evgeny Osipov, Denis Kleyko:
An Approach for Self-Adaptive Path Loss Modeling for Accurate Positioning in Underground Environments. CoRR abs/1501.03757 (2015) - [i2]Denis Kleyko, Evgeny Osipov, Alexander Senior, Asad I. Khan, Y. Ahmet Sekercioglu:
Holographic Graph Neuron: a Bio-Inspired Architecture for Pattern Processing. CoRR abs/1501.03784 (2015) - [i1]Alexey Shapin, Denis Kleyko, Nikita Lyamin, Evgeny Osipov, Oleg Melentyev:
Performance Peculiarities of Viterbi Decoder in Mathworks Simulink, GNU Radio and Other Systems with Likewise Implementation. CoRR abs/1510.01139 (2015) - 2014
- [j3]Laurynas Riliskis
Maestro: An Orchestration Framework for Large-Scale WSN Simulations. Sensors 14(3): 5392-5414 (2014) - [c21]Denis Kleyko
On Bidirectional Transitions between Localist and Distributed Representations: The Case of Common Substrings Search Using Vector Symbolic Architecture. BICA 2014: 104-113 - [c20]Denis Kleyko
On methodology of implementing distributed function block applications using TinyOS WSN nodes. ETFA 2014: 1-7 - [c19]Evgeny Osipov
How to make a distributed programming course a big fun. FIE 2014: 1-6 - [c18]Wenbin William Dai, Laurynas Riliskis
A configurable cloud-based testing infrastructure for interoperable distributed automation systems. IECON 2014: 2492-2498 - [c17]Denis Kleyko
Modified Algorithm of Dynamic Frequency Hopping (DFH) in the IEEE 802.22 Standard. MACOM 2014: 75-83 - [p1]Evgeny Osipov
Simulation Based Studies of Machine-to-Machine Communications. Wireless Networking for Moving Objects 2014: 239-254 - 2013
- [c16]Laurynas Riliskis
Coexistence of cloud technology and IT infrastructure in higher education. FIE 2013: 805-807 - [c15]Evgeny Osipov
Educating innovators of future Internet of Things. FIE 2013: 1352-1358 - [c14]Laurynas Riliskis
Symphony: Simulation, emulation, and virtualization framework for accurate WSN experimentation. SESENA 2013: 1-6 - [c13]Evgeny Osipov
An Improved Model of LTE Random Access Channel. VTC Spring 2013: 1-5 - [c12]Krzysztof Wolosz, Ulf Bodin, Evgeny Osipov
Cognitive load-control for congested Wireless Sensor Network channels. Wireless Days 2013: 1-6 - 2012
- [c11]Laurynas Riliskis
Reality Considerations When Designing a TDMA-FDMA Based Link-Layer for Real-Time WSN. MACOM 2012: 93-96 - [c10]Denis Kleyko
Dependable MAC Layer Architecture Based on Holographic Data Representation Using Hyper-Dimensional Binary Spatter Codes. MACOM 2012: 134-145 - [c9]Anna Chaltseva, Evgeny Osipov
On Passive Characterization of Aggregated Traffic in Wireless Networks. WWIC 2012: 282-289 - 2011
- [c8]Rabiullah Khattak, Anna Chaltseva, Laurynas Riliskis
Comparison of Wireless Network Simulators with Multihop Wireless Network Testbed in Corridor Environment. WWIC 2011: 80-91 - 2010
- [c7]Anna Chaltseva, Evgeny Osipov
Empirical Predictor of TCP Throughput on a Multihop Wireless Path. NEW2AN 2010: 323-334 - [c6]Wolfgang Birk
Road Surface Networks technology enablers for enhanced ITS. VNC 2010: 152-159 - [e2]Evgeny Osipov, Andreas Kassler
Wired/Wireless Internet Communications, 8th International Conference, WWIC 2010, Luleå, Sweden, June 1-3, 2010. Proceedings. Lecture Notes in Computer Science 6074, Springer 2010, ISBN 978-3-642-13314-5 [contents]
2000 – 2009
- 2009
- [c5]Muslim Elkotob, Evgeny Osipov
iRide: A Cooperative Sensor and IP Multimedia Subsystem Based Architecture and Application for ITS Road Safety. EuropeComm 2009: 153-162 - [e1]Hans van den Berg, Geert J. Heijenk, Evgeny Osipov, Dirk Staehle:
Wired/Wireless Internet Communications, 7th International Conference, WWIC 2009, Enschede, The Netherlands, May 27-29, 2009. Proceedings. Lecture Notes in Computer Science 5546, Springer 2009, ISBN 978-3-642-02117-6 [contents] - 2008
- [c4]Tomas Johansson, Evgeny Osipov
Interference Aware Construction of Multi- and Convergecast Trees in Wireless Sensor Networks. NEW2AN 2008: 72-87 - 2007
- [j2]Evgeny Osipov
TCP-Friendly Bandwidth Sharing in Mobile Ad Hoc Networks: From Theory to Reality. EURASIP J. Wirel. Commun. Netw. 2007 (2007) - [c3]Christine Jardak, Evgeny Osipov
Distributed Information Storage and Collection for WSNs. MASS 2007: 1-10 - [c2]Evgeny Osipov:
tinyLUNAR: One-Byte Multihop Communications Through Hybrid Routing in Wireless Sensor Networks. NEW2AN 2007: 379-392 - 2006
- [j1]Evgeny Osipov, Christian F. Tschudin:
A Path Density Protocol for MANETs. Ad Hoc Sens. Wirel. Networks 2(4): 349-363 (2006) - [c1]Evgeny Osipov, Christian F. Tschudin:
Evaluating the Effect of Ad Hoc Routing on TCP Performance in IEEE 802.11 Based MANETs. NEW2AN 2006: 298-312 - 2005
- [b1]Evgeny Osipov:
On the practical feasibility of fair TCP communications in IEEE 802.11 based multihop ad hoc wireless networks. Luleå University of Technology, Sweden, 2005
Coauthor Index
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last updated on 2024-09-21 02:36 CEST by the dblp team
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