235 citations
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8 papers · 1 filter
Probabilistic Model Incorporating Auxiliary Covariates to Control FDR
Lin Qiu, Nils Murrugarra-Llerena, Vítor Silva +2
Controlling False Discovery Rate (FDR) while leveraging the side information of multiple hypothesis testing is an emerging research topic in modern data science. Existing methods r…
Gigapixel Whole-Slide Images Classification using Locally Supervised Learning
Jingwei Zhang, Xin Zhang, Ke Ma +4
Histopathology whole slide images (WSIs) play a very important role in clinical studies and serve as the gold standard for many cancer diagnoses. However, generating automatic tool…
Understanding AR Activism: An Interview Study with Creators of Augmented Reality Experiences for Social Change
Rafael M. L. Silva, Erica Principe Cruz, Daniela K. Rosner +3
The rise of consumer augmented reality (AR) technology has opened up new possibilities for interventions intended to disrupt and subvert cultural conventions. From defacing corpora…
Revisiting Neighborhood-based Link Prediction for Collaborative Filtering
Hao-Ming Fu, Patrick Poirson, Kwot Sin Lee +1
Collaborative filtering (CF) is one of the most successful and fundamental techniques in recommendation systems. In recent years, Graph Neural Network (GNN)-based CF models, such a…
Quantifying Daily Evolution of Mobile Software Based on Memory Allocator Churn
Gunnar Kudrjavets, Jeff Thomas, Aditya Kumar +2
The pace and volume of code churn necessary to evolve modern software systems present challenges for analyzing the performance impact of any set of code changes. Traditional method…
Understanding the Role of Context in Creating Enjoyable Co-Located Interactions
Szu-Yu, Liu, Brian A. Smith +2
In recent years, public discourse has blamed digital technologies for making people feel "alone together," distracting us from engaging with one another, even when we are interacti…