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Tri-Party Deep Network Representation
We propose TriDNR, a tri-party deep network representation model, using information from three parties: node structure, node content, and node labels (if available) to jointly learn optimal node representation. Expand
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Social exclusion in middle childhood: Rejection events, slow-wave neural activity, and ostracism distress
This study examined neural activity with event-related potentials (ERPs) in middle childhood during a computer-simulated ball-toss game, Cyberball. After experiencing fair play initially, childrenExpand
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Enhanced neural responses to rule violation in children with autism: A comparison to social exclusion
The present study aimed to explore the neural correlates of two characteristic deficits in autism spectrum disorders (ASD); social impairment and restricted, repetitive behavior patterns. To thisExpand
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Stacked Convolutional Denoising Auto-Encoders for Feature Representation
This paper proposes an unsupervised deep network, called the stacked convolutional denoising auto-encoders, which can map images to hierarchical representations without any label information. Expand
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Risk-Taking and the Feedback Negativity Response to Loss among At-Risk Adolescents
Event-related brain potentials were examined in 32 adolescents (50% female) from a high-risk sample, who were exposed to cocaine and other drugs prenatally. Adolescents were selected for extremeExpand
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Exclusion and micro-rejection: event-related potential response predicts mitigated distress
We studied time-based neural activity with event-related potentials (ERPs) in young adults during a computer-simulated ball-toss game. Experiencing fair play initially, participants were ultimatelyExpand
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Temporal dynamics reveal atypical brain response to social exclusion in autism
Despite significant social difficulties, children with autism spectrum disorder (ASD) are vulnerable to the effects of social exclusion. We recorded EEG while children with ASD and typical peersExpand
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Changes of effective temperature and cold/hot days in late decades over China based on a high resolution gridded observation dataset
The effective temperature (ET) is employed to investigate observed changes of thermal comfort conditions over China during the late decades of the historical observational period. ET considers theExpand
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Active Discriminative Network Representation Learning
In this paper, we propose a novel method, termed as ANRMAB, to learn the active discriminative network representations with a multi-armed bandit mechanism in active learning setting. Expand
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Asian climate change under 1.5–4 °C warming targets
Abstract Based on simulations of 18 CMIP5 models under three RCP scenarios, this article investigates changes in mean temperature and precipitation and their extremes over Asia in the context ofExpand
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