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20162022
most citedImproving the Expected Improvement Algorithm

39 citations · 154 across the 26 of their papers we have counts for

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Showing 2016Show all

9 papers · 1 filter

stat.ML2016

Rapid Prediction of Player Retention in Free-to-Play Mobile Games

Anders Drachen, Eric Thurston Lundquist, Yungjen Kung +4

Predicting and improving player retention is crucial to the success of mobile Free-to-Play games. This paper explores the problem of rapid retention prediction in this context. Heu…

cs.CL2016

Temporal Topic Analysis with Endogenous and Exogenous Processes

Baiyang Wang, Diego Klabjan

We consider the problem of modeling temporal textual data taking endogenous and exogenous processes into account. Such text documents arise in real world applications, including jo…

stat.ML2016

A Semi-supervised learning approach to enhance health care Community-based Question Answering: A case study in alcoholism

Papis Wongchaisuwat, Diego Klabjan, Siddhartha R. Jonnalagadda

Community-based Question Answering (CQA) sites play an important role in addressing health information needs. However, a significant number of posted questions remain unanswered. A…

stat.ML2016

Evaluating the Performance of Offensive Linemen in the NFL

Nikhil Byanna, Diego Klabjan

How does one objectively measure the performance of an individual offensive lineman in the NFL? The existing literature proposes various measures that rely on subjective assessment…

stat.ML2016

Skill-Based Differences in Spatio-Temporal Team Behavior in Defence of The Ancients 2

Anders Drachen, Matthew Yancey, John Maguire +5

Multiplayer Online Battle Arena (MOBA) games are among the most played digital games in the world. In these games, teams of players fight against each other in arena environments,…

cs.CY2016

Predictive Analytics Using Smartphone Sensors for Depressive Episodes

Taeheon Jeong, Diego Klabjan, Justin Starren

The behaviors of patients with depression are usually difficult to predict because the patients demonstrate the symptoms of a depressive episode without a warning at unexpected tim…