5 papers
MarlRank: Multi-agent Reinforced Learning to Rank
Shihao Zou, Zhonghua Li, Mohammad Akbari +2
When estimating the relevancy between a query and a document, ranking models largely neglect the mutual information among documents. A common wisdom is that if two documents are si…
Using Contextual Information to Improve Blood Glucose Prediction
Mohammad Akbari, Rumi Chunara
Blood glucose value prediction is an important task in diabetes management. While it is reported that glucose concentration is sensitive to social context such as mood, physical ac…
From the User to the Medium: Neural Profiling Across Web Communities
Mohammad Akbari, Kunal Relia, Anas Elghafari +1
Online communities provide a unique way for individuals to access information from those in similar circumstances, which can be critical for health conditions that require daily an…
Named Entity Disambiguation using Deep Learning on Graphs
Alberto Cetoli, Mohammad Akbari, Stefano Bragaglia +2
We tackle \ac{NED} by comparing entities in short sentences with \wikidata{} graphs. Creating a context vector from graphs through deep learning is a challenging problem that has n…
Socio-spatial Self-organizing Maps: Using Social Media to Assess Relevant Geographies for Exposure to Social Processes
Kunal Relia, Mohammad Akbari, Dustin Duncan +1
Social media offers a unique window into attitudes like racism and homophobia, exposure to which are important, hard to measure and understudied social determinants of health. Howe…