Author classification using transfer learning and predicting stars in co‐author networks-Reference-Cited by-同舟云学术

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Author classification using transfer learning and predicting stars in co‐author networks

Published:2020-09-28 Issue:3 Volume:51 Page:645-669
ISSN:0038-0644
Container-title:Software: Practice and Experience
language:en
Short-container-title:Softw Pract Exper

Author:

Abbasi Rashid¹^ORCID,Kashif Bashir Ali²^ORCID,Chen Jianwen¹,Mateen Abdul³,Piran Jalil⁴,Amin Farhan⁵,Luo Bin⁶

Affiliation:

1. School of Information and Communication Engineering University of Electronics Science and Technology of China Chengdu China

2. Department of Computing and Mathematics Manchester Metropolitan University Manchester UK

3. Department of Computer Science Federal Urdu University of Arts Science and Technology Islamabad Pakistan

4. Computer Engineering Department Sejong University Yeungnam South Korea

5. Department of Information and Communication engineering Yeungnam University Yeungnam South Korea

6. Key Lab of Intelligent Computing and Signal Processing of MOE & School of Computer and Technology Anhui University P.R. China

Publisher

Wiley

Subject

Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/spe.2884

Reference74 articles.

1. DaudA AbbasiR MuhammadF. Finding rising stars in social networks. Paper presented at: Proceedings of the International Conference on Database Systems for Advanced Applications;2013:13‐24; Springer Berlin Heidelberg.

2. An effective weighted rule‐based method for entity resolution;Ahmad HA;Distrib Parall Databases,2018

3. Using time topic modeling for semantics‐based dynamic research interest finding;Daud A;Knowl‐Based Syst,2012

4. AbbasiR RehmanG LeeJ RiazFM LuoB. Discovering temporal user interest on twitter by using semantic based dynamic interest finding model (TUT). Paper presented at: Proceedings of the IEEE 2nd Information Technology Networking Electronic and Automation Control Conference (ITNEC);2017:743‐747; Chengdu China: IEEE.

5. RiazFM AbbasiR MahmoodZ. Adding temporal dimension in social network by using link analysis. Paper presented at: Proceedings of the 2017 International Conference on Frontiers of Information Technology (FIT). Islamabad Pakistan: IEEE 2017:223‐228.

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