Applying Monte Carlo Dropout to Quantify the Uncertainty of Skip Connection-Based Convolutional Neural Networks Optimized by Big Data

Abouzar Choubineh*, Jie Chen*, Frans Coenen, Fei Ma

*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Fingerprint

Dive into the research topics of 'Applying Monte Carlo Dropout to Quantify the Uncertainty of Skip Connection-Based Convolutional Neural Networks Optimized by Big Data'. Together they form a unique fingerprint.

Computer Science

Psychology

Physics

Mathematics

Pharmacology, Toxicology and Pharmaceutical Science