scholarly journals Guest Editorial: Non-Euclidean Machine Learning

2022 ◽  
Vol 44 (2) ◽  
pp. 723-726
Author(s):  
Stefanos Zafeiriou ◽  
Michael Bronstein ◽  
Taco Cohen ◽  
Oriol Vinyals ◽  
Le Song ◽  
...  
Keyword(s):  
Machine Learning ◽  
Guest Editorial

scholarly journals Guest Editorial: Special Issue on Data Analytics and Machine Learning for Network and Service Management—Part II

2021 ◽  
Vol 18 (1) ◽  
pp. 775-779
Author(s):  
Nur Zincir-Heywood ◽  
Giuliano Casale ◽  
David Carrera ◽  
Lydia Y. Chen ◽  
Amogh Dhamdhere ◽  
...  
Keyword(s):  
Machine Learning ◽  
Data Analytics ◽  
Service Management ◽  
Guest Editorial ◽  
Special Issue ◽  
Editorial Special Issue

scholarly journals Guest Editorial: Special Issue on Machine Learning Implementations

2019 ◽  
Vol 91 (2) ◽  
pp. 115-116
Author(s):  
Heikki Huttunen ◽  
Ke Chen ◽  
Zhaoxiang Zhang
Keyword(s):  
Machine Learning ◽  
Guest Editorial ◽  
Special Issue ◽  
Editorial Special Issue

scholarly journals Special Section Guest Editorial: Machine Learning in Optics

2020 ◽  
Vol 59 (05) ◽  
pp. 1
Author(s):  
Jonathan Howe ◽  
Travis Axtell ◽  
Khan Iftekharuddin
Keyword(s):  
Machine Learning ◽  
Guest Editorial ◽  
Special Section

scholarly journals Guest Editorial: Robust Resource-Constrained Systems for Machine Learning

2020 ◽  
Vol 37 (2) ◽  
pp. 5-7
Author(s):  
Theocharis Theocharides ◽  
Muhammad Shafique ◽  
Jungwook Choi ◽  
Onur Mutlu
Keyword(s):  
Machine Learning ◽  
Guest Editorial ◽  
Constrained Systems ◽  
Resource Constrained

scholarly journals Special Section Guest Editorial: Change Detection Using Multi-Source Remotely Sensed Imagery

2019 ◽  
Vol 11 (19) ◽  
pp. 2216
Author(s):  
Xin Huang ◽  
Jiayi Li ◽  
Francesca Bovolo ◽  
Qi Wang
Keyword(s):  
Machine Learning ◽  
Remote Sensing ◽  
Change Detection ◽  
Guest Editorial ◽  
Special Section ◽  
Learning Technologies ◽  
Special Issue ◽  
Information Mining ◽  
Remotely Sensed Imagery ◽  
Detection Technologies

This special issue hosts papers on change detection technologies and analysis in remote sensing, including multi-source sensors, advanced machine learning technologies for change information mining, and the utilization of these technologies in a variety of geospatial applications. The presented results showed improved results when multi-source remote sensed data was used in change detection.

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