AIMC Topic: Algorithms

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Semi-supervised distributed representations of documents for sentiment analysis.

Neural networks : the official journal of the International Neural Network Society
Learning document representation is important in applying machine learning algorithms for sentiment analysis. Distributed representation learning models of words and documents, one of neural language models, have overcome some limits of vector space ...

Improving the Rate of Translation of Tissue Engineering Products.

Advanced healthcare materials
Over 100 000 research articles and 9000 patents have been published on tissue engineering (TE) in the past 20 years. Yet, very few TE products have made their way to the market during the same period. Experts have proposed a variety of strategies to ...

The extraction method of tooth preparation margin line based on S-Octree CNN.

International journal for numerical methods in biomedical engineering
The tooth preparation margin line has a significant impact on the marginal fitness for dental restoration. Among the previous methods, the extraction of margin line mainly relies on manual interaction, which is complicated and inefficient. Therefore,...

PaleAle 5.0: prediction of protein relative solvent accessibility by deep learning.

Amino acids
Predicting the three-dimensional structure of proteins is a long-standing challenge of computational biology, as the structure (or lack of a rigid structure) is well known to determine a protein's function. Predicting relative solvent accessibility (...

New Motion Intention Acquisition Method of Lower Limb Rehabilitation Robot Based on Static Torque Sensors.

Sensors (Basel, Switzerland)
The rehabilitation robot is an application of robotic technology for people with limb disabilities. This paper investigates a new applicable and effective sitting/lying lower limb rehabilitation robot (the LLR-Ro). In order to improve the patient's t...

Laser-based classification of olive oils assisted by machine learning.

Food chemistry
Olive oil is an essential diet component in all Mediterranean countries having a considerable impact on the local economies, which are producing almost 90% of the world production. Therefore, the quality assessment of olive oil in terms of its acidit...

Machine learning with the hierarchy-of-hypotheses (HoH) approach discovers novel pattern in studies on biological invasions.

Research synthesis methods
Research synthesis on simple yet general hypotheses and ideas is challenging in scientific disciplines studying highly context-dependent systems such as medical, social, and biological sciences. This study shows that machine learning, equation-free s...

Bimodal learning via trilogy of skip-connection deep networks for diabetic retinopathy risk progression identification.

International journal of medical informatics
BACKGROUND: Diabetic Retinopathy (DR) is considered a pathology of retinal vascular complications, which stays in the top causes of vision impairment and blindness. Therefore, precisely inspecting its progression enables the ophthalmologists to set u...

Comparison between logistic regression and machine learning algorithms on survival prediction of traumatic brain injuries.

Journal of critical care
PURPOSE: To compare twenty-two machine learning (ML) models against logistic regression on survival prediction in severe traumatic brain injury (STBI) patients in a single center study.

Performance of machine learning software to classify breast lesions using BI-RADS radiomic features on ultrasound images.

European radiology experimental
BACKGROUND: The purpose of this work was to evaluate computable Breast Imaging Reporting and Data System (BI-RADS) radiomic features to classify breast masses on ultrasound B-mode images.