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07/03/2023
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection
Anomaly detection in multivariate time series data is of paramount impor...
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05/29/2023
Assess and Summarize: Improve Outage Understanding with Large Language Models
Cloud systems have become increasingly popular in recent years due to th...
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05/25/2023
Empowering Practical Root Cause Analysis by Large Language Models for Cloud Incidents
Ensuring the reliability and availability of cloud services necessitates...
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10/14/2022
MV-HAN: A Hybrid Attentive Networks based Multi-View Learning Model for Large-scale Contents Recommendation
Industrial recommender systems usually employ multi-source data to impro...
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08/15/2022
QuickSkill: Novice Skill Estimation in Online Multiplayer Games
Matchmaking systems are vital for creating fair matches in online multip...
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10/23/2020
Deep Neural Mobile Networking
The next generation of mobile networks is set to become increasingly com...
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07/29/2019
CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting
This paper introduces CloudLSTM, a new branch of recurrent neural networ...
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05/23/2019
Multi-Service Mobile Traffic Forecasting via Convolutional Long Short-Term Memories
Network slicing is increasingly used to partition network infrastructure...
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11/22/2018
Driver Behavior Recognition via Interwoven Deep Convolutional Neural Nets with Multi-stream Inputs
Recognizing driver behaviors is becoming vital for in-vehicle systems th...
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09/30/2018
DELMU: A Deep Learning Approach to Maximising the Utility of Virtualised Millimetre-Wave Backhauls
Advances in network programmability enable operators to 'slice' the phys...
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03/12/2018
Deep Learning in Mobile and Wireless Networking: A Survey
The rapid uptake of mobile devices and the rising popularity of mobile a...
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12/21/2017
Long-Term Mobile Traffic Forecasting Using Deep Spatio-Temporal Neural Networks
Forecasting with high accuracy the volume of data traffic that mobile us...
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11/07/2017