output
20192025
most citedAuditing for Discrimination in Algorithms Delivering Job Ads

100 citations

8 papers

cs.LG2025

Tweedie Regression for Video Recommendation System

Yan Zheng, Qiang Chen, Chenglei Niu

Modern recommendation systems aim to increase click-through rates (CTR) for better user experience, through commonly treating ranking as a classification task focused on predicting…

hep-ph2024★ 2 cited

Flow Annealed Importance Sampling Bootstrap meets Differentiable Particle Physics

Annalena Kofler, Vincent Stimper, Mikhail Mikhasenko +2

High-energy physics requires the generation of large numbers of simulated data samples from complex but analytically tractable distributions called matrix elements. Surrogate model…

cs.NI2023★ 1 cited

Understanding DNS Query Composition at B-Root

Jacob Ginesin, Jelena Mirkovic

The Domain Name System (DNS) is part of critical internet infrastructure, as DNS is invoked whenever a remote server is accessed (an URL is visited, an API request is made, etc.) b…

cs.CL2023★ 8 cited

A Study of Situational Reasoning for Traffic Understanding

Jiarui Zhang, Filip Ilievski, Kaixin Ma +3

Intelligent Traffic Monitoring (ITMo) technologies hold the potential for improving road safety/security and for enabling smart city infrastructure. Understanding traffic situation…

cs.CR2021★ 3 cited

Identifying botnet IP address clusters using natural language processing techniques on honeypot command logs

Valentino Crespi, Wes Hardaker, Sami Abu-El-Haija +1

Computer security has been plagued by increasing formidable, dynamic, hard-to-detect, hard-to-predict, and hard-to-characterize hacking techniques. Such techniques are very often d…

cs.CY2021★ 100 cited

Auditing for Discrimination in Algorithms Delivering Job Ads

Basileal Imana, Aleksandra Korolova, John Heidemann

Ad platforms such as Facebook, Google and LinkedIn promise value for advertisers through their targeted advertising. However, multiple studies have shown that ad delivery on such p…

cs.CL2020★ 3 cited

Summary-Oriented Question Generation for Informational Queries

Xusen Yin, Li Zhou, Kevin Small +1

Users frequently ask simple factoid questions for question answering (QA) systems, attenuating the impact of myriad recent works that support more complex questions. Prompting user…

cs.CY2019

Characterizing Activity on the Deep and Dark Web

Nazgol Tavabi, Nathan Bartley, Andrés Abeliuk +3

The deep and darkweb (d2web) refers to limited access web sites that require registration, authentication, or more complex encryption protocols to access them. These web sites serv…