Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals.
Catalin StoeanRuxandra StoeanMiguel A. Atencia RuizMoloud AbdarLuís Velázquez PérezAbbas KhosraviSaeid NahavandiU. Rajendra AcharyaGonzalo JoyaPublished in: Sensors (2020)
Keyphrases
- monte carlo
- automated detection
- neural network
- automated analysis
- monte carlo simulation
- markov chain
- lung cancer
- importance sampling
- monte carlo methods
- matrix inversion
- ultrasonic images
- particle filter
- genetic algorithm
- monte carlo method
- sufficient conditions
- adaptive sampling
- markovian decision
- variance reduction
- machine learning
- stochastic approximation
- global illumination
- visual analysis
- temporal difference
- optimal strategy
- point processes
- spectrum analysis
- computer vision
- quasi monte carlo