AIMC Topic: Algorithms

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Validation Study on Automated Sleep Stage Scoring Using a Deep Learning Algorithm.

Medicina (Kaunas, Lithuania)
Polysomnography is manually scored by sleep experts. However, manual scoring is a time-consuming and labor-intensive task. The goal of this study was to verify the accuracy of automated sleep-stage scoring based on a deep learning algorithm compared...

Contrastive representation learning of inorganic materials to overcome lack of training datasets.

Chemical communications (Cambridge, England)
Data representation forms a feature space where forms data distribution that is one of the key factors determining the prediction accuracy of machine learning (ML). In particular, the data representation is crucial to handle small and biased training...

Research on the Evaluation of Reformation and Revolution System for Universities Based on Neural Network.

Computational intelligence and neuroscience
Accurately evaluating the working conditions of college revolution and reformation system personnel is currently a hot issue in the field of revolution and reformation system research. Based on the neural network architecture, this paper constructs a...

A Complete Process of Text Classification System Using State-of-the-Art NLP Models.

Computational intelligence and neuroscience
With the rapid advancement of information technology, online information has been exponentially growing day by day, especially in the form of text documents such as news events, company reports, reviews on products, stocks-related reports, medical re...

Fuzzy Logic-Based Machine Learning Algorithm for Cultural and Creative Product Design.

Computational intelligence and neuroscience
In order to effectively assist industrial designers in the color scheme design of cultural and creative products and output color schemes that meet users' image preferences, an interactive color scheme design method for cultural and creative products...

Modern Machine-Learning Predictive Models for Diagnosing Infectious Diseases.

Computational and mathematical methods in medicine
Controlling infectious diseases is a major health priority because they can spread and infect humans, thus evolving into epidemics or pandemics. Therefore, early detection of infectious diseases is a significant need, and many researchers have develo...

A novel deep learning model based on the ICA and Riemannian manifold for EEG-based emotion recognition.

Journal of neuroscience methods
BACKGROUND: The EEG-based emotion recognition is one of the primary research orientations in the field of emotional intelligence and human-computer interaction (HCI).

Deep learning-based transcription factor activity for stratification of breast cancer patients.

Biochimica et biophysica acta. Gene regulatory mechanisms
Transcription factors directly bind to DNA and regulate the expression of the gene, causing epigenetic modification of the DNA. They often mediate epigenetic parameters of transcriptional and posttranscriptional mechanisms, and their expression activ...

Smart Grid Stability Prediction Model Using Neural Networks to Handle Missing Inputs.

Sensors (Basel, Switzerland)
A smart grid is a modern electricity system enabling a bidirectional flow of communication that works on the notion of demand response. The stability prediction of the smart grid becomes necessary to make it more reliable and improve the efficiency a...