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Sergey Serebryakov
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- affiliation: Hewlett Packard Enterprise Labs, Palo Alto, CA, USA
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Journal Articles
- 2024
- [j3]Ann Mary Justine Koomthanam
, Aalap Tripathy
Common Metadata Framework: Integrated Framework for Trustworthy Artificial Intelligence Pipelines. IEEE Internet Comput. 28(3): 37-44 (2024) - 2020
- [j2]Phil Laplante
Artificial Intelligence and Critical Systems: From Hype to Reality. Computer 53(11): 45-52 (2020) - 2009
- [j1]Vladimir Gorodetsky, Oleg Karsaev, Vladimir Samoilov, Sergey Serebryakov
Agent-based distributed decision-making in dynamic operational environments. Intell. Decis. Technol. 3(1): 35-57 (2009)
Conference and Workshop Papers
- 2022
- [c17]Giacomo Pedretti, Sergey Serebryakov, John Paul Strachan, Catherine E. Graves:
A general tree-based machine learning accelerator with memristive analog CAM. ISCAS 2022: 220-224 - [c16]Annmary Justine
Self-learning Data Foundation for Scientific AI. SMC 2022: 20-37 - 2021
- [c15]Sitao Huang, Aayush Ankit, Plínio Silveira, Rodrigo Antunes, Sai Rahul Chalamalasetti, Izzat El Hajj, Dong Eun Kim
Mixed Precision Quantization for ReRAM-based DNN Inference Accelerators. ASP-DAC 2021: 372-377 - [c14]Plínio Silveira, César Augusto Fonticielha De Rose, Avelino Francisco Zorzo, Miguel Gomes Xavier, Dejan S. Milojicic, Sai Rahul Chalamalasetti, Sergey Serebryakov
Resource Sharing and Security Implications on Machine Learning Inference Accelerators. COMPSAC 2021: 59-67 - [c13]Sreenivas R. Sukumar
Survival of the Fittest Amidst the Cambrian Explosion of Processor Architectures for Artificial Intelligence : Invited Paper. PEHC@SC 2021: 34-43 - 2019
- [c12]Xinyuan Huang, Geoffrey C. Fox, Sergey Serebryakov
Benchmarking Deep Learning for Time Series: Challenges and Directions. IEEE BigData 2019: 5679-5682 - [c11]Sergey Serebryakov
Deep Learning Cookbook: Recipes for your AI Infrastructure and Applications. ICRC 2019: 16-24 - [c10]Raymond G. Beausoleil, Thomas Van Vaerenbergh, Kirk Bresniker
Future Computing Systems (FCS) to Support "Understanding" Capability. ICRC 2019: 88-97 - 2013
- [c9]Daria Dzendzik, Sergey Serebryakov:
Semi-Automatic Generation of Linear Event Extraction Patterns for Free Texts. SYRCoDIS 2013: 5-9 - 2012
- [c8]Vladimir Gorodetsky, Vladimir Samoylov, Sergey Serebryakov:
Context-driven data and information fusion. FUSION 2012: 1830-1837 - [c7]Vladimir Gorodetsky, Vladimir Samoylov, D. Trotsky, Sergey Serebryakov
Knowledge-Based Behavior Specification. Web Intelligence/IAT Workshops 2012: 49-53 - 2010
- [c6]Vladimir Gorodetsky, Vladimir Samoilov, Sergey Serebryakov
Ontology - Based Context - Dependent Personalization Technology. Web Intelligence/IAT Workshops 2010: 278-283 - 2008
- [c5]Vladimir Gorodetsky, Oleg Karsaev, Vladimir Samoilov, Sergey Serebryakov
Interaction of Agents and Data Mining in Ubiquitous Environment. Web Intelligence/IAT Workshops 2008: 562-566 - 2007
- [c4]Vladimir Gorodetsky, Oleg Karsaev, Vladimir Samoilov, Sergey Serebryakov
P2P Agent Platform: Implementation and Testing. AP2PC 2007: 41-54 - [c3]Vladimir Gorodetsky, Oleg Karsaev, Vladimir Samoilov, Sergey Serebryakov
Automated P2P Learning in Agent-Based Classification Networks. Web Intelligence/IAT Workshops 2007: 503-507 - [c2]Vladimir Gorodetsky, Oleg Karsaev, Vladimir Samoilov, Sergey Serebryakov
P2P Open Agent Networks for Decision Making. SYNASC 2007: 6 - 2005
- [c1]Lev Stankevich, Sergey Serebryakov
Data Mining Techniques for RoboCup Soccer Agents. AIS-ADM 2005: 289-301
Informal and Other Publications
- 2023
- [i3]Giacomo Pedretti, John Moon, Pedro Bruel, Sergey Serebryakov, Ron M. Roth, Luca Buonanno, Tobias Ziegler, Cong Xu, Martin Foltin, Paolo Faraboschi, Jim Ignowski, Catherine E. Graves:
X-TIME: An in-memory engine for accelerating machine learning on tabular data with CAMs. CoRR abs/2304.01285 (2023) - [i2]Lei Zhao, Luca Buonanno, Ron M. Roth, Sergey Serebryakov, Archit Gajjar
RACE-IT: A Reconfigurable Analog CAM-Crossbar Engine for In-Memory Transformer Acceleration. CoRR abs/2312.06532 (2023) - 2021
- [i1]Giacomo Pedretti, Catherine E. Graves, Can Li, Sergey Serebryakov, Xia Sheng, Martin Foltin, Ruibin Mao, John Paul Strachan:
Tree-based machine learning performed in-memory with memristive analog CAM. CoRR abs/2103.08986 (2021)
Coauthor Index
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