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Found 5 papers, 0 papers with code
Denoising Low-dose Images Using Deep Learning of Time Series Images
And as a method to solve this problem, we propose a method to decompose a time series image into a 2D image of the spatial axis and time to perform machine learning denoise.
Response Style Characterization for Repeated Measures Using the Visual Analogue Scale
Moreover, applying our method to an actual VAS dataset revealed the presence of individual RP heterogeneity, even in repeated VAS measurements, similar to the findings of the Likert scale.
The impact of individual information exchange strategies on the distribution of social wealth
Wealth distribution is a complex and critical aspect of any society.
Mask Atari for Deep Reinforcement Learning as POMDP Benchmarks
We present Mask Atari, a new benchmark to help solve partially observable Markov decision process (POMDP) problems with Deep Reinforcement Learning (DRL)-based approaches.
HCTI at SemEval-2017 Task 1: Use convolutional neural network to evaluate Semantic Textual Similarity
Another is that we trained a fully-connected neural network (FCNN) to transfer difference of two semantic vectors to probability of every similarity score.
