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Predicting human gaze beyond pixels.
TLDR
A large body of previous models to predict where people look in natural scenes focused on pixel-level image attributes. Expand
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Does HRM facilitate employee creativity and organizational innovation? A study of Chinese firms
Using a sample of 106 firms in China, we examined how human resource management (HRM) practices relate to employee creativity and organizational innovation. In order to avoid common method bias, theExpand
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Atypical Visual Saliency in Autism Spectrum Disorder Quantified through Model-Based Eye Tracking
The social difficulties that are a hallmark of autism spectrum disorder (ASD) are thought to arise, at least in part, from atypical attention toward stimuli and their features. To investigate thisExpand
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Common Mode EMI Noise Suppression for Bridgeless PFC Converters
The goal of this paper is to study the possibility of minimizing common mode (CM) noise emission in bridgeless power factor correction (PFC) converters. Two approaches are proposed. In the firstExpand
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Challenges of Internet Recruitment: A Case Study with Disappointing Results
Background The Internet provides tremendous opportunities for innovative research, but few publications on the use of the Internet for recruiting study participants exist. This paper summarizes ourExpand
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An Approach for Spatial-Temporal Traffic Modeling in Mobile Cellular Networks
TLDR
The volume and types of traffic data in mobile cellular networks have been increasing continuously. Expand
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A Systematic Study of Online Class Imbalance Learning With Concept Drift
TLDR
We present the first systematic study of handling concept drift in class-imbalanced data streams with concept drift. Expand
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On Inertial Dynamics of Virtual-Synchronous-Controlled DFIG-Based Wind Turbines
This paper is to investigate the inertial dynamics of virtual-synchronous-controlled (VSynC) doubly fed induction generator (DFIG)-based wind turbines (WTs). VSynC, different from the conventionalExpand
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A multi-level Taguchi-factorial two-stage stochastic programming approach for characterization of parameter uncertainties and their interactions: An application to water resources management
TLDR
This paper presents a multi-level Taguchi-factorial two-stage stochastic programming (MTTSP) approach for supporting water resources management under parameter uncertainties and their interactions. Expand
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Common Mode Noise Reduction for Boost Converters Using General Balance Technique
TLDR
In this paper, the boost converter model for electromagnetic interference noise analysis is first investigated. Expand
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