Multi-Modal Interpretable Representation for Non-Coding RNA Classification and Class Annotation

Life Sciences, Bioengineering, Genetics,
non-coding RNA   multi-modal learning   deep learning   classification   annotation   bioinformatics   interpretability  

Non-coding RNAs (ncRNAs) play critical roles in cellular processes and disease development. Although genome sequencing projects have revealed a vast number of non-coding genes, the functional classification of ncRNAs remains a complex and challenging issue. The diversity, complexity, and functionality of ncRNAs make them important subjects in biome...

Functional Connectivity Analysis of Children with Autism Under Emotional Clips

Medicine, Psychiatry, Neurology, Clinical Psychology,
Autism Spectrum Disorder   functional connectivity   EEG   emotional processing   classification  

Functional Connectivity Analysis of Children with Autism under Emotional Stimulation Background Introduction Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder, primarily characterized by deficits in social interaction and communication abilities, as well as repetitive behaviors and restricted interests. One of the core feature...

Identifying New Classes of Financial Price Jumps with Wavelets

Mathematics, Chemistry, Information Science, Computer Science, Artificial Intelligence, Life Sciences,
financial jumps   classification   wavelets   reflexivity   cojumps  

Research Report on Identifying New Classes of Financial Price Jumps Using Wavelets Academic Background Price jumps in financial markets refer to significant price fluctuations occurring within an extremely short period, typically caused by exogenous factors (such as sudden news) or endogenous factors (internal market feedback mechanisms). Distingui...

Explaining the Better Generalization of Label Distribution Learning for Classification

Information Science, Computer Science, Artificial Intelligence,
label distribution learning   classification   generalization   label distribution margin   label ambiguity   neural network  

Understanding Why Label Distribution Learning Exhibits Better Generalization in Classification Background Introduction In the fields of artificial intelligence and machine learning, classification problems have always been a central focus for researchers. With the continuous development of multi-label learning (MLL) and single-label learning (SLL),...

Deep Learning-Based Assessment Model for Real-Time Identification of Visual Learners Using Raw EEG

Engineering, Electrical Engineering, Information Science, Computer Science, Artificial Intelligence, Medicine, Neurology, Life Sciences, Bioengineering,
deep learning   real-time identification   visual learners   EEG   machine learning   electroencephalogram   classification  

In the current educational environment, understanding students’ learning styles is crucial for improving their learning efficiency. Specifically, the identification of visual learning styles can help teachers and students adopt more effective strategies in the teaching and learning process. Currently, automatic identification of visual learning sty...

Patterns of Sagittal Imbalance in Degenerative Kyphosis and Its Implication on Postoperative Mechanical Failure

Patterns of Sagittal Imbalance in Degenerative Kyphosis and Its Implication on Postoperative Mechanical Failure

Medicine, Orthopedics, Neurosurgery,
degenerative kyphosis   sagittal imbalance   mechanical complication   classification   surgical risk  

Sagittal Imbalance Patterns in Degenerative Kyphosis of the Lumbar or Thoracolumbar Spine and Their Impact on Postoperative Complications Research Background Degenerative kyphosis (DK) is the most common type of spinal deformity in the elderly. Sagittal imbalance is a typical radiological feature of DK and is associated with a severe decline in qua...