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07/06/2023
Fine-grained Action Analysis: A Multi-modality and Multi-task Dataset of Figure Skating
The fine-grained action analysis of the existing action datasets is chal...
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04/06/2020
Adaptive Fractional Dilated Convolution Network for Image Aesthetics Assessment
To leverage deep learning for image aesthetics assessment, one critical ...
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08/28/2019
A Semantic Schema for Data Quality Management in a Multi-Tenant Data Platform
Schibsted Media Group is a global marketplace company with presence in m...
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09/06/2018
Five lessons from building a deep neural network recommender
Recommendation algorithms are widely adopted in marketplaces to help use...
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09/06/2018
Deep neural network marketplace recommenders in online experiments
Recommendations are broadly used in marketplaces to match users with ite...
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05/09/2018
A Novel PMU Fog based Early Anomaly Detection for an Efficient Wide Area PMU Network
Based on phasor measurement units (PMUs), a synchronphasor system is wid...
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09/24/2017
Weather Forecasting Error in Solar Energy Forecasting
As renewable distributed energy resources (DERs) penetrate the power gri...
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07/15/2017
On the Performance of Forecasting Models in the Presence of Input Uncertainty
Nowadays, with the unprecedented penetration of renewable distributed en...
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07/08/2017
