Kirill Trapeznikov

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 5

Top Topics

Linear Programming

Rule Interestingness Measures

Efficient Learning

Evaluation Methodologies

Top Venues

Publications

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 (2024)
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 (2023)
Tharindu Kumarage, Joshua Garland, Amrita Bhattacharjee, Kirill Trapeznikov, Scott W. Ruston, Huan Liu
Stylometric Detection of AI-Generated Text in Twitter Timelines. CoRR (2023)
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)
Brian DeCann, Kirill Trapeznikov
Comprehensive Dataset of Face Manipulations for Development and Evaluation of Forensic Tools. CoRR (2022)
Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama
Sensor Selection by Linear Programming. CoRR (2015)
Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama
Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction. CoRR (2015)
Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama
Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction. NIPS (2015)
Feng Nan, Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama
Fast margin-based cost-sensitive classification. ICASSP (2014)
Joseph Wang, Tolga Bolukbasi, Kirill Trapeznikov, Venkatesh Saligrama
Model Selection by Linear Programming. ECCV (2) (2014)
Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama
An LP for Sequential Learning Under Budgets. AISTATS (2014)
Kirill Trapeznikov, Venkatesh Saligrama, David A. Castañón
Multi-stage classifier design. Mach. Learn. 92 (2-3) (2013)
Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama
Online local linear classification. CAMSAP (2013)
Kirill Trapeznikov, Venkatesh Saligrama
Supervised Sequential Classification Under Budget Constraints. AISTATS (2013)
Kirill Trapeznikov, Venkatesh Saligrama, David A. Castañón
Multi-Stage Classifier Design. ACML (2012)
Kirill Trapeznikov, Venkatesh Saligrama, David A. Castañón
Two stage decision system. SSP (2012)
Kirill Trapeznikov, Venkatesh Saligrama, David A. Castañón
Cost Sensitive Sequential Classification CoRR (2012)
Kirill Trapeznikov, Venkatesh Saligrama, David A. Castañón
Active Boosted Learning (ActBoost). AISTATS (2011)