AIMC Topic: Machine Learning

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Detecting and Classifying Nuclei Using Multi-Scale Fully Convolutional Network.

Journal of computational biology : a journal of computational molecular cell biology
The detection and classification of nuclei play an important role in the histopathological analysis. It aims to find out the distribution of nuclei in the histopathology images for the next step of analysis and research. However, it is very challengi...

A Universal Framework for Featurization of Atomistic Systems.

The journal of physical chemistry letters
Machine-learning force fields have become increasingly popular because of their balance of accuracy and speed. However, a significant limitation is the use of element-specific features, leading to poor scalability with the number of elements. This wo...

Multisource-Refined Transfer Network for Industrial Fault Diagnosis Under Domain and Category Inconsistencies.

IEEE transactions on cybernetics
Unsupervised cross-domain fault diagnosis has been actively researched in recent years. It learns transferable features that reduce distribution inconsistency between source and target domains without target supervision. Most of the existing cross-do...

Research Review for Broad Learning System: Algorithms, Theory, and Applications.

IEEE transactions on cybernetics
In recent years, the appearance of the broad learning system (BLS) is poised to revolutionize conventional artificial intelligence methods. It represents a step toward building more efficient and effective machine-learning methods that can be extende...

When Does Diversity Help Generalization in Classification Ensembles?

IEEE transactions on cybernetics
Ensembles, as a widely used and effective technique in the machine learning community, succeed within a key element-"diversity." The relationship between diversity and generalization, unfortunately, is not entirely understood and remains an open rese...

Hyper-Parameter Optimization of Stacked Asymmetric Auto-Encoders for Automatic Personality Traits Perception.

Sensors (Basel, Switzerland)
In this work, a method for automatic hyper-parameter tuning of the stacked asymmetric auto-encoder is proposed. In previous work, the deep learning ability to extract personality perception from speech was shown, but hyper-parameter tuning was attain...

Device-Free Multi-Location Human Activity Recognition Using Deep Complex Network.

Sensors (Basel, Switzerland)
Wi-Fi-based human activity recognition has attracted broad attention for its advantages, which include being device-free, privacy-protected, unaffected by light, etc. Owing to the development of artificial intelligence techniques, existing methods ha...

A machine learning model for classifying G-protein-coupled receptors as agonists or antagonists.

BMC bioinformatics
BACKGROUND: G-protein coupled receptors (GPCRs) sense and transmit extracellular signals into the intracellular machinery by regulating G proteins. GPCR malfunctions are associated with a variety of signaling-related diseases, including cancer and di...

An Intelligent Cost-Efficient System to Prevent the Improper Posture Hazards in Offices Using Machine Learning Algorithms.

Computational intelligence and neuroscience
In this research, an intelligent and cost-efficient system has been proposed to detect the improper sitting posture of a person working at a desk, mostly in offices, using machine learning classification techniques. The current era demands to avoid t...

Ethical, Legal, and Financial Considerations of Artificial Intelligence in Surgery.

The American surgeon
Machine learning systems have become integrated into some of the most vital decision-making aspects of humanity, including hiring decisions, loan applications, and automobile safety, to name just a few. As applications increase in both gravity and co...