AIMC Topic: Algorithms

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Aggregating soft labels from crowd annotations improves uncertainty estimation under distribution shift.

PloS one Jun 9, 2025
Selecting an effective training signal for machine learning tasks is difficult: expert annotations are expensive, and crowd-sourced annotations may not be reliable. Recent work has demonstrated that learning from a distribution over labels acquired f...
Humans Crowdsourcing Algorithms Machine Learning Uncertainty
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Evaluation of data driven low-rank matrix factorization for accelerated solutions of the Vlasov equation.

PloS one Jun 9, 2025
Low-rank methods have shown success in accelerating simulations of a collisionless plasma described by the Vlasov equation, but still rely on computationally costly linear algebra every time step. We propose a data-driven factorization method using a...
Neural Networks, Computer Models, Theoretical Computer Simulation Algorithms
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Software technical debt prediction based on complex software networks.

PloS one Jun 9, 2025
Technical debt prediction (TDP) is crucial for the long-term maintainability of software. In the literature, many machine-learning based TDP models have been proposed; they used TD-related metrics as input features for machine-learning classifiers to...
Algorithms Machine Learning Humans Software
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Data-Augmented Deep Learning Algorithm for Accurate Control of Bioethanol Fermentation Using an Online Raman Analyzer.

Biotechnology and bioengineering Jun 8, 2025
Fed-batch fermentation has become the preferred strategy in many industrial biomanufacturing processes. However, a key challenge remains in optimizing the feeding strategy to achieve stable maximum yields. In this study, we present an online Raman sp...
Algorithms Deep Learning Bioreactors Fermentation Saccharomyces cerevisiae Spectrum Analysis, Raman Ethanol
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Implications From the Analogous Relationship Between Evolutionary and Learning Processes.

BioEssays : news and reviews in molecular, cellular and developmental biology Jun 8, 2025
Organismal evolution is a process of discovering better-fitting phenotypes through trial and error across generations. This iterative process resembles learning processes, an analogy recognized since the 1950s. Recognizing this parallel suggests that...
Humans Machine Learning Animals Learning Algorithms Biological Evolution
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Physics-informed neural networks for denoising high b-value diffusion-weighted images.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jun 7, 2025
Diffusion-weighted imaging (DWI) is widely applied in tumor diagnosis by measuring the diffusion of water molecules. To increase the sensitivity to tumor identification, faithful high b-value DWI images are expected by setting a stronger strength of ...
Neural Networks, Computer Algorithms Male Humans Diffusion Magnetic Resonance Imaging Prostatic Neoplasms Signal-To-Noise Ratio Image Processing, Computer-Assisted
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Position of artificial intelligence in healthcare and future perspective.

Artificial intelligence in medicine Jun 6, 2025
Artificial Intelligence (AI) has been used in healthcare with increasing momentum. According to a published report, 6.6 billion dollars were invested in AI healthcare in 2021, and this investment is expected to provide 150 billion dollars of benefit ...
Delivery of Health Care Humans Algorithms Forecasting Artificial Intelligence
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A preliminary study on cause‑of‑death discrimination and the pathological stage identification in acute ischemia heart disease (AIHD) based on plasma lipidomic technique and machine learning algorithms.

International journal of legal medicine Jun 6, 2025
The sudden death discrimination of acute ischemia heart disease (AIHD) and the determination of the AIHD pathological stage are the difficulties in forensic medicine. More potential biomarkers with high sensitivity and specificity still need to be id...
Male Middle Aged Lipids Aged Adult Tandem Mass Spectrometry Lipidomics Myocardial Ischemia Myocardial Infarction Chromatography, High Pressure Liquid Cause of Death Humans Machine Learning Biomarkers Female Algorithms
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O-GEST: Overground gait events detector using b-spline-based geometric models for marker-based and markerless analysis.

Journal of biomechanics Jun 6, 2025
Accurate gait events detection is imperative for reliable assessment of normal and pathological gaits. However, this detection becomes challenging in the absence of force plates. Hence, this research introduces two geometric models integrated into an...
Gait Cerebral Palsy Humans Osteoarthritis, Hip Algorithms Gait Analysis Adult Child Female Middle Aged Biomechanical Phenomena Parkinson Disease Aged Deep Learning Male Stroke
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Sleep Identification Enabled by Supervised Training Algorithms (SIESTA): An Open-Source Platform for Automatic Sleep Staging of Rodent Electrocorticographic and Electromyographic Data.

Journal of biological rhythms Jun 6, 2025
Accurately capturing the temporal distribution of polysomnographic sleep stages is critical for the study of sleep function, regulation, and disorders in higher vertebrates. In laboratory rodents, scoring of electrocorticography (ECoG) and electromyo...
Electrocorticography Electromyography Circadian Rhythm Sleep Sleep Stages Wakefulness Animals Male Rats Algorithms Mice, Inbred C57BL Mice
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