17 citations · 45 across the 13 of their papers we have counts for
13 papers
The Joy of Neural Painting
Ernesto Diaz-Aviles, Claudia Orellana-Rodriguez, Beth Jochim
Neural Painters is a class of models that follows a GAN framework to generate brushstrokes, which are then composed to create paintings. GANs are great generative models for AI Art…
Personalization, Privacy, and Me
Reshma Narayanan Kutty, Claudia Orellana-Rodriguez, Igor Brigadir +1
News recommendation and personalization is not a solved problem. People are growing concerned of their data being collected in excess in the name of personalization and the usage o…
NU:BRIEF -- A Privacy-aware Newsletter Personalization Engine for Publishers
Ernesto Diaz-Aviles, Claudia Orellana-Rodriguez, Igor Brigadir +1
Newsletters have (re-) emerged as a powerful tool for publishers to engage with their readers directly and more effectively. Despite the diversity in their audiences, publishers' n…
Why is it Difficult to Detect Sudden and Unexpected Epidemic Outbreaks in Twitter?
Avaré Stewart, Sara Romano, Nattiya Kanhabua +5
Social media services such as Twitter are a valuable source of information for decision support systems. Many studies have shown that this also holds for the medical domain, where…
Multi-Relational Learning at Scale with ADMM
Lucas Drumond, Ernesto Diaz-Aviles, Lars Schmidt-Thieme
Learning from multiple-relational data which contains noise, ambiguities, or duplicate entities is essential to a wide range of applications such as statistical inference based on…
(Blue) Taxi Destination and Trip Time Prediction from Partial Trajectories
Hoang Thanh Lam, Ernesto Diaz-Aviles, Alessandra Pascale +2
Real-time estimation of destination and travel time for taxis is of great importance for existing electronic dispatch systems. We present an approach based on trip matching and ens…