2.2k citations · 4k across the 42 of their papers we have counts for
4 papers · 1 filter
Multimodal Sentiment Analysis To Explore the Structure of Emotions
Anthony Hu, Seth Flaxman
We propose a novel approach to multimodal sentiment analysis using deep neural networks combining visual analysis and natural language processing. Our goal is different than the st…
Variational Learning on Aggregate Outputs with Gaussian Processes
Ho Chung Leon Law, Dino Sejdinovic, Ewan Cameron +4
While a typical supervised learning framework assumes that the inputs and the outputs are measured at the same levels of granularity, many applications, including global mapping of…
Variable Prioritization in Nonlinear Black Box Methods: A Genetic Association Case Study
Lorin Crawford, Seth R. Flaxman, Daniel E. Runcie +1
The central aim in this paper is to address variable selection questions in nonlinear and nonparametric regression. Motivated by statistical genetics, where nonlinear interactions…
Scalable high-resolution forecasting of sparse spatiotemporal events with kernel methods: a winning solution to the NIJ "Real-Time Crime Forecasting Challenge"
Seth Flaxman, Michael Chirico, Pau Pereira +1
We propose a generic spatiotemporal event forecasting method, which we developed for the National Institute of Justice's (NIJ) Real-Time Crime Forecasting Challenge. Our method is…