1 citations · 1 across the 4 of their papers we have counts for
5 papers
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…
Leveraging Unlabeled Data for Sketch-based Understanding
Javier Morales, Nils Murrugarra-Llerena, Jose M. Saavedra
Sketch-based understanding is a critical component of human cognitive learning and is a primitive communication means between humans. This topic has recently attracted the interest…
Scalable Visual Attribute Extraction through Hidden Layers of a Residual ConvNet
Andres Baloian, Nils Murrugarra-Llerena, Jose M. Saavedra
Visual attributes play an essential role in real applications based on image retrieval. For instance, the extraction of attributes from images allows an eCommerce search engine to…
NeurT-FDR: Controlling FDR by Incorporating Feature Hierarchy
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…
Image Retrieval with Mixed Initiative and Multimodal Feedback
Nils Murrugarra-Llerena, Adriana Kovashka
How would you search for a unique, fashionable shoe that a friend wore and you want to buy, but you didn't take a picture? Existing approaches propose interactive image search as a…