Search Results for author:
Found 8 papers, 1 papers with code
The Joy of Neural Painting
Neural Painters is a class of models that follows a GAN framework to generate brushstrokes, which are then composed to create paintings.
NU:BRIEF -- A Privacy-aware Newsletter Personalization Engine for Publishers
Newsletters have (re-) emerged as a powerful tool for publishers to engage with their readers directly and more effectively.
Why is it Difficult to Detect Sudden and Unexpected Epidemic Outbreaks in Twitter?
Many studies have shown that this also holds for the medical domain, where Twitter is considered a viable tool for public health officials to sift through relevant information for the early detection, management, and control of epidemic outbreaks.
Multi-Relational Learning at Scale with ADMM
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 Web Linked Data, recommender systems, computational biology, and natural language processing.
(Blue) Taxi Destination and Trip Time Prediction from Partial Trajectories
Real-time estimation of destination and travel time for taxis is of great importance for existing electronic dispatch systems.
Towards Real-time Customer Experience Prediction for Telecommunication Operators
To this end, we follow a supervised learning approach for prediction and train our 'Restricted Random Forest' model using, as a proxy for bad experience, the observed customer transactions in the telco data feed before the user places a call to a customer care center.
Predicting User Engagement in Twitter with Collaborative Ranking
Collaborative Filtering (CF) is a core component of popular web-based services such as Amazon, YouTube, Netflix, and Twitter.
Collaborative Filtering Ensemble for Personalized Name Recommendation
Out of thousands of names to choose from, picking the right one for your child is a daunting task.
