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Supervised Shallow Multi-task Learning: Analysis of Methods · Peerford

Article · Journal · 2022

Supervised Shallow Multi-task Learning: Analysis of Methods

Stanley Ebhohimhen Abhadiomhen, Royransom Chimela Nzeh, Ernest Domanaanmwi Ganaa, Honour Chika Nwagwu, George Emeka Okereke, Sidheswar Routray

Neural Processing Letters

Closed access
International · 3 countries

Go to the publisher 10.1007/s11063-021-10703-7

Citations: 9from other works
Field-weighted impact: 0.991.00 is the world average for its field and year
Among its field: 79th percentileby citations, against works of its field and year
Authors: 6from 3 institutions

Authors

6 authors across 3 institutions in 3 countries

Stanley Ebhohimhen AbhadiomhenFirst author
- University of Nigeria (NG)
Royransom Chimela Nzeh
- University of Nigeria (NG)
Ernest Domanaanmwi Ganaa
- Accra Technical University (GH)
Honour Chika NwagwuCorresponding
- University of Nigeria (NG)
George Emeka Okereke
- University of Nigeria (NG)
Sidheswar Routray

Senior author

Corresponding

Countries on it

China
India
Nigeria

Also on it

Indrashil Universityeducation · IN
Jiangsu Universityeducation · CN

Fields

A work can sit in several, each with a score

Domain Adaptation and Few-Shot LearningTopic
Machine Learning and ELMTopic
Face and Expression RecognitionTopic