Tomo Lazovich - RankMe

16 papers A* 1A 1C 1Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Reducing Population-level Inequality Can Improve Demographic Group Fairness: a Twitter Case Study. CoRR Avijit Ghosh, Tomo Lazovich, Kristian Lum, Christo Wilson
2023	A	`conf`	Exposure to Marginally Abusive Content on Twitter. ICWSM Jack Bandy, Tomo Lazovich
2023	—	`conf`	Filter bubbles and affective polarization in user-personalized large language model outputs. ICBINB Tomo Lazovich
2023	J	`jnl`	Filter bubbles and affective polarization in user-personalized large language model outputs. CoRR Tomo Lazovich
2023	J	`jnl`	Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics. Patterns Tomo Lazovich, Luca Belli, Aaron Gonzales, Amanda Bower, Uthaipon Tantipongpipat, Kristian Lum, Ferenc Huszár, Rumman Chowdhury
2023	—	`conf`	TwERC: High Performance Ensembled Candidate Generation for Ads Recommendation at Twitter. AdKDD@KDD Vanessa Cai, Pradeep Prabakar, Manuel Serrano Rebuelta, Lucas Rosen, Federico Monti, Katarzyna Janocha, Tomo Lazovich, Jeetu Raj, Yedendra Shrinivasan, Hao Li, Thomas Markovich
2023	J	`jnl`	TwERC: High Performance Ensembled Candidate Generation for Ads Recommendation at Twitter. CoRR Vanessa Cai, Pradeep Prabakar, Manuel Serrano Rebuelta, Lucas Rosen, Federico Monti, Katarzyna Janocha, Tomo Lazovich, Jeetu Raj, Yedendra Shrinivasan, Hao Li, Thomas Markovich
2022	J	`jnl`	Measuring Disparate Outcomes of Content Recommendation Algorithms with Distributional Inequality Metrics. CoRR Tomo Lazovich, Luca Belli, Aaron Gonzales, Amanda Bower, Uthaipon Tantipongpipat, Kristian Lum, Ferenc Huszar, Rumman Chowdhury
2022	J	`jnl`	Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics. Patterns Tomo Lazovich, Luca Belli, Aaron Gonzales, Amanda Bower, Uthaipon Tantipongpipat, Kristian Lum, Ferenc Huszár, Rumman Chowdhury
2022	J	`jnl`	Random Isn't Always Fair: Candidate Set Imbalance and Exposure Inequality in Recommender Systems. CoRR Amanda Bower, Kristian Lum, Tomo Lazovich, Kyra Yee, Luca Belli
2020	—	`conf`	Accelerating Artificial Intelligence with Silicon Photonics. OFC Nicholas C. Harris, Ryan Braid, Darius Bunandar, Jim Carr, Brad Dobbie, Carlos Dorta-Quinones, Jon Elmhurst, Martin Forsythe, Michael Gould, Shashank Gupta, Sukeshwar Kannan, Tyler Kenney, Gary Kong, Tomo Lazovich, Scott McKenzie, Carl Ramey, Chithira Ravi, Michael Scott, John Sweeney, Ozgur Yildirim, Katrina Zhang
2018	C	`conf`	Automated Vulnerability Detection in Source Code Using Deep Representation Learning. ICMLA Rebecca L. Russell, Louis Y. Kim, Lei H. Hamilton, Tomo Lazovich, Jacob Harer, Onur Ozdemir, Paul M. Ellingwood, Marc W. McConley
2018	J	`jnl`	Automated Vulnerability Detection in Source Code Using Deep Representation Learning. CoRR Rebecca L. Russell, Louis Y. Kim, Lei H. Hamilton, Tomo Lazovich, Jacob A. Harer, Onur Ozdemir, Paul M. Ellingwood, Marc W. McConley
2018	J	`jnl`	Automated software vulnerability detection with machine learning. CoRR Jacob A. Harer, Louis Y. Kim, Rebecca L. Russell, Onur Ozdemir, Leonard R. Kosta, Akshay Rangamani, Lei H. Hamilton, Gabriel I. Centeno, Jonathan R. Key, Paul M. Ellingwood, Marc W. McConley, Jeffrey M. Opper, Peter Chin, Tomo Lazovich
2018	A*	`conf`	Learning to Repair Software Vulnerabilities with Generative Adversarial Networks. NeurIPS Jacob Harer, Onur Ozdemir, Tomo Lazovich, Christopher P. Reale, Rebecca L. Russell, Louis Y. Kim, Peter Chin
2018	J	`jnl`	Learning to Repair Software Vulnerabilities with Generative Adversarial Networks. CoRR Jacob Harer, Onur Ozdemir, Tomo Lazovich, Christopher P. Reale, Rebecca L. Russell, Louis Y. Kim, Peter Chin