AIMC Topic: Machine Learning

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Multitype view of knowledge contrastive learning for recommendation.

Neural networks : the official journal of the International Neural Network Society
Graph Neural Networks (GNNs) are playing an increasingly vital role in the field of recommender systems. To improve knowledge perception within GNNs, contrastive learning has been applied and has proven to be highly effective. GNNs have the ability t...

Progress of machine learning-based biosensors for the monitoring of food safety: A review.

Biosensors & bioelectronics
Rapid urbanization and growing food demand caused people to be concerned about food safety. Biosensors have gained considerable attention for assessing food safety due to selectivity, and sensitivity but poor stability inherently limits their applica...

Machine learning to guide the use of plasma technology for antibiotic degradation.

Journal of hazardous materials
Antibiotics are misused and discharged into environmental water, posing a constant potential threat to the ecosystem. Utilising plasma's physical and chemical effects to remove antibiotics has emerged as a promising wastewater treatment technology. H...

How adversarial attacks can disrupt seemingly stable accurate classifiers.

Neural networks : the official journal of the International Neural Network Society
Adversarial attacks dramatically change the output of an otherwise accurate learning system using a seemingly inconsequential modification to a piece of input data. Paradoxically, empirical evidence indicates that even systems which are robust to lar...

Machine Learning-Based Prediction of Chronic Shunt-Dependent Hydrocephalus After Spontaneous Subarachnoid Hemorrhage.

World neurosurgery
BACKGROUND: Chronic posthemorrhagic hydrocephalus often arises following spontaneous subarachnoid hemorrhage (SAH). Timely identification of patients predisposed to develop chronic shunt-dependent hydrocephalus may significantly enhance clinical outc...

Gluconeogenesis unraveled: A proteomic Odyssey with machine learning.

Methods (San Diego, Calif.)
The metabolic pathway known as gluconeogenesis, which produces glucose from non-carbohydrate substrates, is essential for maintaining balanced blood sugar levels while fasting. It's extremely important to anticipate gluconeogenesis rates accurately t...

Bioinformatics challenges for profiling the microbiome in cancer: pitfalls and opportunities.

Trends in microbiology
Increasing evidence suggests that the human microbiome plays an important role in cancer risk and treatment. Untargeted 'omics' techniques have accelerated research into microbiome-cancer interactions, supporting the discovery of novel associations a...

Regulatory Aspects of Artificial Intelligence and Machine Learning.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
In the realm of health care, numerous generative and nongenerative artificial intelligence and machine learning (AI-ML) tools have been developed and deployed. Simultaneously, manufacturers of medical devices are leveraging AI-ML. However, the adopti...

radMLBench: A dataset collection for benchmarking in radiomics.

Computers in biology and medicine
BACKGROUND: New machine learning methods and techniques are frequently introduced in radiomics, but they are often tested on a single dataset, which makes it challenging to assess their true benefit. Currently, there is a lack of a larger, publicly a...

Machine-Learning Analysis of Streptomyces coelicolor Transcriptomes Reveals a Transcription Regulatory Network Encompassing Biosynthetic Gene Clusters.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Streptomyces produces diverse secondary metabolites of biopharmaceutical importance, yet the rate of biosynthesis of these metabolites is often hampered by complex transcriptional regulation. Therefore, a fundamental understanding of transcriptional ...