Distillation of Deep Learning Ensembles as a Regularisation Method

2017 ◽  
pp. 97-118 ◽  
Author(s):  
Alan Mosca ◽  
George D. Magoulas
Keyword(s):  
Deep Learning ◽  
Learning Ensembles ◽  
Regularisation Method

Speedup of deep learning ensembles for semantic segmentation using a model compression technique

2017 ◽  
Vol 164 ◽  
pp. 16-26 ◽  
Author(s):  
Andrew Holliday ◽  
Mohammadamin Barekatain ◽  
Johannes Laurmaa ◽  
Chetak Kandaswamy ◽  
Helmut Prendinger
Keyword(s):  
Deep Learning ◽  
Semantic Segmentation ◽  
Compression Technique ◽  
Model Compression ◽  
Learning Ensembles

Glaucoma classification via deep learning ensembles

2021 ◽  
Author(s):  
Ali Serener ◽  
Sertan Serte
Keyword(s):  
Deep Learning ◽  
Learning Ensembles

scholarly journals Proactive Process Adaptation Using Deep Learning Ensembles

2019 ◽  
pp. 547-562 ◽  
Author(s):  
Andreas Metzger ◽  
Adrian Neubauer ◽  
Philipp Bohn ◽  
Klaus Pohl
Keyword(s):  
Deep Learning ◽  
Process Adaptation ◽  
Learning Ensembles

scholarly journals D-LEMA: Deep Learning Ensembles from Multiple Annotations - Application to Skin Lesion Segmentation

2021 ◽  
Author(s):  
Zahra Mirikharaji ◽  
Kumar Abhishek ◽  
Saeed Izadi ◽  
Ghassan Hamarneh
Keyword(s):  
Deep Learning ◽  
Skin Lesion ◽  
Lesion Segmentation ◽  
Learning Ensembles

scholarly journals Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-Rays

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 115041-115050 ◽  
Author(s):  
Sivaramakrishnan Rajaraman ◽  
Jenifer Siegelman ◽  
Philip O. Alderson ◽  
Lucas S. Folio ◽  
Les R. Folio ◽  
...  
Keyword(s):  
Deep Learning ◽  
X Rays ◽  
Learning Ensembles
Sign in / Sign up

Export Citation Format

Share Document