AIMC Topic: Ensemble Learning

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Ensemble learning based on bi-directional gated recurrent unit and convolutional neural network with word embedding module for bioactive peptide prediction.

Food chemistry Dec 12, 2024
Bioactive peptides, as small protein fragments, are essential mediators of diverse physiological activities, such as antimicrobial, anti-inflammatory, anticancer, antioxidant, and immunomodulatory functions. Despite their substantial potential in pha...
Acinetobacter baumannii Convolutional Neural Networks Escherichia coli Ensemble Learning Neural Networks, Computer Antimicrobial Peptides Anti-Bacterial Agents Peptides
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Hyb_SEnc: An Antituberculosis Peptide Predictor Based on a Hybrid Feature Vector and Stacked Ensemble Learning.

IEEE/ACM transactions on computational biology and bioinformatics Dec 10, 2024
Tuberculosis has plagued mankind since ancient times, and the struggle between humans and tuberculosis continues. Mycobacterium tuberculosis is the leading cause of tuberculosis, infecting nearly one-third of the world's population. The rise of pepti...
Peptides Computational Biology Antitubercular Agents Tuberculosis Humans Mycobacterium tuberculosis Machine Learning Ensemble Learning Algorithms
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ToxSTK: A multi-target toxicity assessment utilizing molecular structure and stacking ensemble learning.

Computers in biology and medicine Dec 6, 2024
Drug registration requires risk assessment of new active pharmaceutical ingredients or excipients to ensure they are safe for human health and the environment. However, traditional risk assessment is expensive and relies heavily on animal testing. Ma...
Humans Machine Learning Animals Risk Assessment Quantitative Structure-Activity Relationship Toxicity Tests Ensemble Learning
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Generalized Super-Resolution 4D Flow MRI - Using Ensemble Learning to Extend Across the Cardiovascular System.

IEEE journal of biomedical and health informatics Dec 5, 2024
4D Flow Magnetic Resonance Imaging (4D Flow MRI) is a non-invasive measurement technique capable of quantifying blood flow across the cardiovascular system. While practical use is limited by spatial resolution and image noise, incorporation of traine...
Male Humans Heart Machine Learning Imaging, Three-Dimensional Cardiovascular System Female Magnetic Resonance Imaging Ensemble Learning
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Construction of interpretable ensemble learning models for predicting bioaccumulation parameters of organic chemicals in fish.

Journal of hazardous materials Nov 20, 2024
Accurate prediction of bioaccumulation parameters is essential for assessing exposure, hazards, and risks of chemicals. However, the majority of prediction models on bioaccumulation parameters are individual models based on a single algorithm and lac...
Water Pollutants, Chemical Ensemble Learning Animals Fishes Machine Learning Bioaccumulation Organic Chemicals Algorithms Models, Theoretical
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Temporomandibular joint CBCT image segmentation via multi-view ensemble learning network.

Medical & biological engineering & computing Oct 28, 2024
Accurate segmentation of the temporomandibular joint (TMJ) from cone beam CT (CBCT) images holds significant clinical value for diagnosing temporomandibular joint osteoarthrosis (TMJOA) and related conditions. Convolutional neural network-based medic...
Temporomandibular Joint Cone-Beam Computed Tomography Imaging, Three-Dimensional Image Processing, Computer-Assisted Humans Machine Learning Temporomandibular Joint Disorders Neural Networks, Computer Algorithms Ensemble Learning Female
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A stroke prediction framework using explainable ensemble learning.

Computer methods in biomechanics and biomedical engineering Feb 21, 2024
The death of brain cells occurs when blood flow to a particular area of the brain is abruptly cut off, resulting in a stroke. Early recognition of stroke symptoms is essential to prevent strokes and promote a healthy lifestyle. FAST tests (looking fo...
Humans Machine Learning Stroke Risk Factors Ensemble Learning ROC Curve
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Predicting the composition of aroma components in Baijiu using hyperspectral imaging combined with a replication allocation strategy-enhanced stacked ensemble learning model.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Nov 15, 2025
Ester and acid aroma compounds are crucial components affecting the fragrance of Baijiu, and their composition can endow the Baijiu with a fruity, acidic, floral, or roasted aroma. This study aims to quantitatively detect the ester and acid content i...
Machine Learning Acids Hyperspectral Imaging Soy Foods Ensemble Learning Odorants Esters
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Ensemble learning approach for detecting breast invasive ductal carcinoma from histopathological images.

Pathology, research and practice Aug 1, 2025
Invasive ductal carcinoma is a type of breast cancer that is one of the most frequent and aggressive forms of breast malignancy, necessitating accurate and timely diagnosis for effective treatment. Though considered the gold standard, traditional his...
Humans Neural Networks, Computer Algorithms Image Interpretation, Computer-Assisted Carcinoma, Ductal, Breast Ensemble Learning Female Breast Neoplasms Deep Learning
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Predicting single-cell protein production from food-processing wastewater in sequencing batch reactors using ensemble learning.

Bioresource technology Aug 1, 2025
Producing single-cell protein (SCP) from food-processing wastewater offers a sustainable approach to resource recovery, animal feed production, and wastewater treatment. Decision-makers need accurate system performance data under variable influent co...
Wastewater Algorithms Biomass Machine Learning Batch Cell Culture Techniques Dietary Proteins Bioreactors Ensemble Learning Food-Processing Industry
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