On the Identification and Prediction of Stalling Events to Improve QoE in Video Streaming

Heterogeneous Multiuser QoE Enhancement Over DASH in SDN Networks

(2020) Tasnim Abar et al.   WIRELESS PERSONAL COMMUNICATIONS

Synchronization and identification of nonlinear systems by using a novel self-evolving interval type-2 fuzzy LSTM-neural network

(2019) Haiyue Wang et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Learning QoE of Mobile Video Transmission With Deep Neural Network: A Data-Driven Approach

(2019) Xiaoming Tao et al.   IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS

E-LSTM: An Efficient Hardware Architecture for Long Short-Term Memory

(2019) Meiqi Wang et al.   IEEE Journal on Emerging and Selected Topics in Circuits and Systems

Time series prediction based on intuitionistic fuzzy cognitive map

(2019) Chao Luo et al.   SOFT COMPUTING

Live video-streaming evaluation using the ITU-T P.1203 QoE model in LTE networks

(2019) H.-F. Bermudez et al.   Computer Networks

Feature-based prediction of streaming video QoE: Distortions, stalling and memory

(2018) Christos G. Bampis et al.   SIGNAL PROCESSING-IMAGE COMMUNICATION

Statistical validation of an LTE emulation tool using live video streaming over reliable transport protocols

(2018) H.-F. Bermudez et al.   TELECOMMUNICATION SYSTEMS

A Subjective and Objective Study of Stalling Events in Mobile Streaming Videos

(2017) Deepti Ghadiyaram et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY

A survey on parametric QoE estimation for popular services

(2017) Dimitris Tsolkas et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

Measurement of Quality of Experience of Video-on-Demand Services: A Survey

(2016) Parikshit Juluri et al.   IEEE Communications Surveys and Tutorials

Quality of experience management in mobile cellular networks: key issues and design challenges

(2015) Eirini Liotou et al.   IEEE COMMUNICATIONS MAGAZINE

Addressing imbalance in multilabel classification: Measures and random resampling algorithms

(2015) Francisco Charte et al.   NEUROCOMPUTING

On the effectiveness of preprocessing methods when dealing with different levels of class imbalance

(2011) V. García et al.   KNOWLEDGE-BASED SYSTEMS

Learning from Imbalanced Data

(2009) Haibo He et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

CLASSIFICATION OF IMBALANCED DATA: A REVIEW

(2009) YANMIN SUN et al.   INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE