AIMC Topic: Unsupervised Machine Learning

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Unsupervised machine learning for identifying important visual features through bag-of-words using histopathology data from chronic kidney disease.

Scientific reports Mar 22, 2022
Pathologists use visual classification to assess patient kidney biopsy samples when diagnosing the underlying cause of kidney disease. However, the assessment is qualitative, or semi-quantitative at best, and reproducibility is challenging. To discov...
Renal Insufficiency, Chronic Glomerular Filtration Rate Biopsy Unsupervised Machine Learning Female Reproducibility of Results Male Humans
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Recreating the Motion Trajectory of a System of Articulated Rigid Bodies on the Basis of Incomplete Measurement Information and Unsupervised Learning.

Sensors (Basel, Switzerland) Mar 11, 2022
Re-creating the movement of an object consisting of articulated rigid bodies is an issue that concerns both mechanical and biomechanical systems. In the case of biomechanical systems, movement re-storation allows, among other things, introducing chan...
Biomechanical Phenomena Unsupervised Machine Learning Motion Humans Algorithms Movement
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Few-Shot Learning for Deformable Medical Image Registration With Perception-Correspondence Decoupling and Reverse Teaching.

IEEE journal of biomedical and health informatics Mar 7, 2022
Deformable medical image registration estimates corresponding deformation to align the regions of interest (ROIs) of two images to a same spatial coordinate system. However, recent unsupervised registration models only have correspondence ability wit...
Image Processing, Computer-Assisted Unsupervised Machine Learning Perception Humans Algorithms
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Unsupervised Learning in Drug Design from Self-Organization to Deep Chemistry.

International journal of molecular sciences Mar 3, 2022
The availability of computers has brought novel prospects in drug design. Neural networks (NN) were an early tool that cheminformatics tested for converting data into drugs. However, the initial interest faded for almost two decades. The recent succe...
Drug Design Unsupervised Machine Learning Cheminformatics Neural Networks, Computer Algorithms Humans
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Feature engineering solution with structured query language analytic functions in detecting electricity frauds using machine learning.

Scientific reports Feb 28, 2022
Detecting fraud related to electricity consumption is usually a difficult challenge as the input datasets are sometimes unreliable due to missing and inconsistent records, faults, misinterpretation of meter reading remarks, status, etc. In this paper...
Unsupervised Machine Learning Electricity Fraud Machine Learning Algorithms
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Unsupervised learning of haptic material properties.

eLife Feb 23, 2022
When touching the surface of an object, its spatial structure translates into a vibration on the skin. The perceptual system evolved to translate this pattern into a representation that allows to distinguish between different materials. Here, we show...
Touch Perception Manufactured Materials Haptic Technology Vibration Touch Humans Neural Networks, Computer Male Unsupervised Machine Learning Female
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Feature Identification With a Heuristic Algorithm and an Unsupervised Machine Learning Algorithm for Prior Knowledge of Gait Events.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 28, 2022
The purpose of this study was to compare a heuristic feature identification algorithm with output from the Beta Process Auto Regressive Hidden Markov Model (BP-AR-HMM) utilizing minimally sampled (≤ 100 Hz) human locomotion data for identification of...
Biomechanical Phenomena Unsupervised Machine Learning Humans Gait Algorithms Heuristics Walking
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Unsupervised learning of brain state dynamics during emotion imagination using high-density EEG.

NeuroImage Jan 5, 2022
This study applies adaptive mixture independent component analysis (AMICA) to learn a set of ICA models, each optimized by fitting a distributional model for each identified component process while maximizing component process independence within som...
Humans Adult Functional Neuroimaging Electroencephalography Emotions Cerebral Cortex Unsupervised Machine Learning Imagination
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Deep Unfolding for Non-Negative Matrix Factorization with Application to Mutational Signature Analysis.

Journal of computational biology : a journal of computational molecular cell biology Jan 5, 2022
Non-negative matrix factorization (NMF) is a fundamental matrix decomposition technique that is used primarily for dimensionality reduction and is increasing in popularity in the biological domain. Although finding a unique NMF is generally not possi...
Breast Neoplasms Deep Learning Databases, Genetic Unsupervised Machine Learning Computational Biology Algorithms Computer Simulation Female Humans Neural Networks, Computer DNA Mutational Analysis Mutation Supervised Machine Learning
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Unsupervised discovery of dynamic cell phenotypic states from transmitted light movies.

PLoS computational biology Dec 30, 2021
Identification of cell phenotypic states within heterogeneous populations, along with elucidation of their switching dynamics, is a central challenge in modern biology. Conventional single-cell analysis methods typically provide only indirect, static...
Single-Cell Analysis Blood Cells Phenotype Image Processing, Computer-Assisted Time-Lapse Imaging Humans Leukemia, Myeloid, Acute Light Algorithms Unsupervised Machine Learning Microscopy
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