activity
20152022
most citedIdentifying Geographic Clusters: A Network Analytic Approach

43 citations · 67 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG20221 cited

Improved Adaptive Algorithm for Scalable Active Learning with Weak Labeler

Yifang Chen, Karthik Sankararaman, Alessandro Lazaric +6

Active learning with strong and weak labelers considers a practical setting where we have access to both costly but accurate strong labelers and inaccurate but cheap predictions pr…

cs.LG2018

Learning Cheap and Novel Flight Itineraries

Dmytro Karamshuk, David Matthews

We consider the problem of efficiently constructing cheap and novel round trip flight itineraries by combining legs from different airlines. We analyse the factors that contribute…

cs.SI20171 cited

Wearing Many (Social) Hats: How Different are Your Different Social Network Personae?

Changtao Zhong, Hau-wen Chan, Dmytro Karamshuk +2

This paper investigates when users create profiles in different social networks, whether they are redundant expressions of the same persona, or they are adapted to each platform. U…

cs.SI201722 cited

Identifying Partisan Slant in News Articles and Twitter during Political Crises

Dmytro Karamshuk, Tetyana Lokot, Oleksandr Pryymak +1

In this paper, we are interested in understanding the interrelationships between mainstream and social media in forming public opinion during mass crises, specifically in regards t…

physics.soc-ph201543 cited

Identifying Geographic Clusters: A Network Analytic Approach

Roberto Catini, Dmytro Karamshuk, Orion Penner +1

In recent years there has been a growing interest in the role of networks and clusters in the global economy. Despite being a popular research topic in economics, sociology and urb…