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ORCIDKirill Trapeznikov
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Journal Articles
- 2013
[j1]Kirill Trapeznikov, Venkatesh Saligrama
, David A. Castañón:
Multi-stage classifier design. Mach. Learn. 92(2-3): 479-502 (2013)
Conference and Workshop Papers
- 2023
- [c10]Brandon B. May, Kirill Trapeznikov, Shengbang Fang, Matthew C. Stamm:
Comprehensive Dataset of Synthetic and Manipulated Overhead Imagery for Development and Evaluation of Forensic Tools. IH&MMSec 2023: 145-150 - 2015
- [c9]Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama:
Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction. NIPS 2015: 2152-2160 - 2014
- [c8]Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama:
An LP for Sequential Learning Under Budgets. AISTATS 2014: 987-995 - [c7]Joseph Wang, Tolga Bolukbasi, Kirill Trapeznikov, Venkatesh Saligrama:
Model Selection by Linear Programming. ECCV (2) 2014: 647-662 - [c6]Feng Nan, Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama:
Fast margin-based cost-sensitive classification. ICASSP 2014: 2952-2956 - 2013
- [c5]Kirill Trapeznikov, Venkatesh Saligrama:
Supervised Sequential Classification Under Budget Constraints. AISTATS 2013: 581-589 - [c4]Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama:
Online local linear classification. CAMSAP 2013: 173-176 - 2012
- [c3]Kirill Trapeznikov, Venkatesh Saligrama, David A. Castañón:
Two stage decision system. SSP 2012: 920-923 - [c2]Kirill Trapeznikov, Venkatesh Saligrama, David A. Castañón:
Multi-Stage Classifier Design. ACML 2012: 459-474 - 2011
- [c1]Kirill Trapeznikov, Venkatesh Saligrama, David A. Castañón:
Active Boosted Learning (ActBoost). AISTATS 2011: 743-751
Informal and Other Publications
- 2024
- [i7]Lin Ai, Tharindu Kumarage, Amrita Bhattacharjee, Zizhou Liu, Zheng Hui, Michael Davinroy, James Cook, Laura Cassani, Kirill Trapeznikov, Matthias Kirchner, Arslan Basharat, Anthony Hoogs, Joshua Garland, Huan Liu, Julia Hirschberg:
Defending Against Social Engineering Attacks in the Age of LLMs. CoRR abs/2406.12263 (2024) - 2023
- [i6]Tharindu Kumarage, Joshua Garland, Amrita Bhattacharjee, Kirill Trapeznikov, Scott W. Ruston, Huan Liu:
Stylometric Detection of AI-Generated Text in Twitter Timelines. CoRR abs/2303.03697 (2023) - [i5]Brandon B. May, Kirill Trapeznikov, Shengbang Fang, Matthew C. Stamm:
Comprehensive Dataset of Synthetic and Manipulated Overhead Imagery for Development and Evaluation of Forensic Tools. CoRR abs/2305.05784 (2023) - 2022
- [i4]Brian DeCann, Kirill Trapeznikov:
Comprehensive Dataset of Face Manipulations for Development and Evaluation of Forensic Tools. CoRR abs/2208.11776 (2022) - 2015
- [i3]Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama:
Sensor Selection by Linear Programming. CoRR abs/1509.02954 (2015) - [i2]Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama:
Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction. CoRR abs/1510.07609 (2015) - 2012
- [i1]Kirill Trapeznikov, Venkatesh Saligrama, David A. Castañón:
Cost Sensitive Sequential Classification. CoRR abs/1205.4377 (2012)
Coauthor Index
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