z-logo
open-access-imgOpen Access
Predicting rank for scientific research papers using supervised learning
Author(s) -
Mohamed El Mohadab,
Belaid Bouikhalene,
Saïd Safi
Publication year - 2018
Publication title -
applied computing and informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.665
H-Index - 22
eISSN - 2634-1964
pISSN - 2210-8327
DOI - 10.1016/j.aci.2018.02.002
Subject(s) - computer science , ranking (information retrieval) , learning to rank , machine learning , artificial intelligence , task (project management) , supervised learning , rank (graph theory) , process (computing) , semi supervised learning , measure (data warehouse) , data mining , artificial neural network , mathematics , management , combinatorics , economics , operating system

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom