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SMDS 2020: Beijing, China
- IEEE International Conference on Smart Data Services, SMDS 2020, Beijing, China, October 19-23, 2020. IEEE 2020, ISBN 978-1-7281-8777-8
- Yifan Hao, Huiping Cao
, Erick Draayer:
CNN Approaches to Classify Multivariate Time Series Using Class-specific Features. 1-8 - Breno Dantas Cruz, Arnab Kumar Paul
Stargazer: A Deep Learning Approach for Estimating the Performance of Edge- Based Clustering Applications. 9-17 - Yanhong Zhu, Tao Sun, Qin Li, Lu Lu, Xiaodong Duan, Weiyuan Li:
Machine Learning based User QoE Evaluation for Video Streaming over Mobile Network. 18-25 - Meng Xi, Zhiling Luo, Naibo Wang
A Latent Feelings-aware RNN Model for User Churn Prediction with only Behaviour data. 26-35 - Feng Wang
BC-Sketch: A Simple Reversible Sketch for Detecting Network Anomalies. 36-44 - Farnaz Tahmasebian, Li Xiong
EdgeInfer: Robust Truth Inference under Data Poisoning Attack. 45-52 - Manjusha Ravindranath, K. Selçuk Candan, Maria Luisa Sapino:
M2NN: Rare Event Inference through Multi-variate Multi-scale Attention. 53-62 - Chengmin Wu, Lei Chen:
Utber: Utilizing Fine-Grained Entity Types to Relation Extraction with Distant Supervision. 63-71 - Pei Guo, Achuna Ofonedu, Jianwu Wang:
Scalable and Hybrid Ensemble-Based Causality Discovery. 72-80 - Zhanyu Wang, Chunyang Ye, Hui Zhou:
Geolocation using GAT with Multiview Learning. 81-88 - Saurabh Gupta, Siddhant Bhambri, Karan Dhingra, Arun Balaji Buduru
Multi-objective Reinforcement Learning based approach for User-Centric Power Optimization in Smart Home Environments. 89-96 - Stefano Bilotta, Paolo Nesi, Irene Paoli:
Real-time System for Short- and Long-Term Prediction of Vehicle Flow. 97-104 - Jane Lin, Ouri Wolfson
MY-AIR: A Personalized Air-quality Information Service. 105-112 - Weihai Yu, Claudia-Lavinia Ignat:
Conflict-Free Replicated Relations for Multi-Synchronous Database Management at Edge. 113-121 - Chathura Widanage, Niranda Perera, Vibhatha Abeykoon, Supun Kamburugamuve, Thejaka Amila Kanewala, Hasara Maithree
High Performance Data Engineering Everywhere. 122-132 - Mahmudul Hassan
S3QLRDF: Property Table Partitioning Scheme for Distributed SPARQL Querying of large-scale RDF data. 133-140
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