Quantifying tissue-infiltrating immune and stromal cells provides clinically relevant information
for various diseases. While numerous methods can quantify immune or stromal cells in …

Given a million escort advertisements, how can we spot near-duplicates? Such micro-clusters
of ads are usually signals of human trafficking. How can we summarize them, visually, to …

Large language models like GPT have shown impressive performance on natural language
tasks. Here, we present a novel method to directly adapt these pretrained models to a …

Given a million escort advertisements, how can we spot near-duplicates? Such micro-clusters
of ads are usually signals of human trafficking (HT). How can we summarize them to …

In today’s age of (mis)information, many people utilize various social media platforms in an
attempt to shape public opinion on several important issues, including elections and the …

A large number of studies on social media compare the behaviour of users from different
political parties. As a basic step, they employ a predictive model for inferring their political …

Deep neural networks, despite their success in numerous applications, often function without
established theoretical foundations. In this paper, we bridge this gap by drawing parallels …

How can we study social interactions on evolving topics at a mass scale? Over the past
decade, researchers from diverse fields such as economics, political science, and public health …

How to accelerate the search for relevant topical keywords within a tweet corpus?
Computational social scientists conducting topical studies employ large, self-collected or …