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Finding Patterns in Noisy Crowds: Regression-based Annotation Aggregation for Crowdsourced Data
This paper presents an aggregation approach that learns a regression model from crowdsourced annotations to predict aggregated labels for instances that have no expert adjudications.
Date:
September 2017
Creator:
Nielsen, Rodney D. & Parde, Natalie
System:
The UNT Digital Library
If No Media Were Allowed inside the Venue, Was Anybody Allowed?
This paper presents a framework to understand negation in positive terms.
Date:
April 2017
Creator:
Sarabi, Zahra & Blanco, Eduardo
System:
The UNT Digital Library
Impact of Mobility on Convergence Rate in a Wireless Sensor Network
This paper shows that introducing mobility increases the rate of convergence in partially connected and disconnected wireless sensor networks (WSN).
Date:
March 22, 2017
Creator:
Norouzi Kandalan, Roya; Singh, Ramanpreet; Namuduri, Kamesh; Varanasi, Murali R. & Buckles, Bill
System:
The UNT Digital Library