Search Results - "Unsupervised Machine Learning Algorithm"

UNSUPERVISED MACHINE LEARNING FOR SEISMIC ANOMALY DETECTION: ISOLATION FOREST ALGORITHM APPLICATION TO INDONESIAN EARTHQUAKE DATA

Authors: Gregorius Airlangga

Source: Jurnal Lebesgue, Vol 4, Iss 3, Pp 1827-1836 (2023)

Subject Terms: earthquake, QA1-939, isolation forest algorithm, unsupervised machine learning algorithm, anomaly detection, Mathematics

Access URL: https://doaj.org/article/25150b700e8d4c028b54056750bc4c04

Single‐cell protein profiling defines cell populations associated with triple‐negative breast cancer aggressiveness

Authors: Barbora Kvokačková Radek Fedr Daniela Kužílková et al.

Source: Mol Oncol
Molecular Oncology, Vol 17, Iss 6, Pp 1024-1040 (2023)

Subject Terms: mass cytometry, Proteomics, 0301 basic medicine, single‐cell profiles, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, Triple Negative Breast Neoplasms, phenotypic plasticity, unsupervised machine learning algorithm, 3. Good health, 03 medical and health sciences, triple‐negative breast cancer, Cell Line, Tumor, tumor heterogeneity, Tumor Microenvironment, Humans, Stromal Cells, RC254-282, Research Articles, Retrospective Studies, Signal Transduction

Access URL: https://pubmed.ncbi.nlm.nih.gov/36550781
https://doaj.org/article/902a68d47202494e8964ad7e6e6c97dc

Cross-influence of information and risk effects on the IPO market: exploring risk disclosure with a machine learning approach

Authors: Xia, H. Weng, J. Boubaker, S. et al.

Contributors: Xia, H. Weng, J. Boubaker, S. et al.

Source: Ann Oper Res

Subject Terms: Enterprise information transparency,Information effect,Risk disclosure,Risk effect,Unsupervised machine learning algorithm, 0502 economics and business, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, [SHS.GESTION]Humanities and Social Sciences/Business administration, 02 engineering and technology, [SHS.GESTION] Humanities and Social Sciences/Business administration, Original Research

Access URL: https://pubmed.ncbi.nlm.nih.gov/36312208
https://normandie-univ.hal.science/hal-04445053v1
https://doi.org/10.1007/s10479-022-05012-8

AutoDetect-mNP: An Unsupervised Machine Learning Algorithm for Automated Analysis of Transmission Electron Microscope Images of Metal Nanoparticles

Authors: Jakob C. Dahl Ivan A. Moreno-Hernandez Hyun Dong Ha et al.

Source: JACS Au
JACS Au, Vol 1, Iss 3, Pp 316-327 (2021)
JACS Au, vol 1, iss 3

Subject Terms: Chemical Sciences not elsewhere classified, unsupervised algorithm AutoDetect-mNP, Information Systems not elsewhere classified, TEM images, Bioengineering, 02 engineering and technology, cadmium selenide quantum dots, unsupervised learning, data analysis algorithms, Space Science, time-resolved TEM studies, image analysis, Transmission Electron Microscope Images, transmission electron microscopy, field TEM images, Nanotechnology, Nanostructured Materials - Materials, Unsupervised Machine Learning Algorithm, transmission electron microscope imaging, Molecular Biology, QD1-999, Chemistry, machine learning, Medicine, Nanoparticles, mNP synthesis, nanoparticles, TEM mNP images, 0210 nano-technology, gold nanocatalysts, Biotechnology, Biological Sciences not elsewhere classified

File Description: application/pdf

Access URL: https://pubs.acs.org/doi/pdf/10.1021/jacsau.0c00030
https://pubmed.ncbi.nlm.nih.gov/33778811
https://doaj.org/article/496a61118b1d4f6993698e406755c872
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7988451
https://doaj.org/article/496a61118b1d4f6993698e406755c872
https://pubmed.ncbi.nlm.nih.gov/33778811/
https://chemrxiv.org/engage/api-gateway/chemrxiv/assets/orp/resource/item/60c75497842e65349bdb4185/original/auto-detect-m-np-an-unsupervised-machine-learning-algorithm-for-automated-analysis-of-transmission-electron-microscope-images-of-metal-nanoparticles.pdf
https://pubs.acs.org/doi/10.1021/jacsau.0c00030
https://escholarship.org/uc/item/1w1770h3
https://escholarship.org/content/qt1w1770h3/qt1w1770h3.pdf
https://escholarship.org/uc/item/1w1770h3

Optimizing Initialization, Feature Selection, and Tensor Dimension Reduction in Unsupervised Learning: Methods and Applications

Authors: Huyunting Huang Sr.

Subject Terms: Semi- and unsupervised learning, Statistical theory, Optimizatiion, Tensor dimension reduction, Unsupervised Machine Learning Algorithm, feature secelction

Relation: https://figshare.com/articles/thesis/Optimizing_Initialization_Feature_Selection_and_Tensor_Dimension_Reduction_in_Unsupervised_Learning_Methods_and_Applications/28816607

Availability: https://doi.org/10.25394/pgs.28816607.v1

AutoDetect-mNP: An Unsupervised Machine Learning Algorithm for Automated Analysis of Transmission Electron Microscope Images of Metal Nanoparticles

Authors: Xingzhi Wang (165721) Jie Li (15030) Hyun Dong Ha (1496503) et al.

Subject Terms: Medicine, Molecular Biology, Biotechnology, Space Science, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, unsupervised algorithm AutoDetect-mNP, Transmission Electron Microscope Images, cadmium selenide quantum dots, Unsupervised Machine Learning Algorithm, TEM mNP images, mNP synthesis, field TEM images, data analysis algorithms, TEM images, transmission electron microscopy, time-resolved TEM studies

Relation: https://figshare.com/articles/journal_contribution/AutoDetect-mNP_An_Unsupervised_Machine_Learning_Algorithm_for_Automated_Analysis_of_Transmission_Electron_Microscope_Images_of_Metal_Nanoparticles/14120819

Availability: https://doi.org/10.1021/jacsau.0c00030.s001

Exploring Wetland Dynamics in Large River Floodplain Systems with Unsupervised Machine Learning: A Case Study of the Dongting Lake, China

Authors: Lei Jing Yan Zhou Qing Zeng et al.

Source: Remote Sensing, Vol 12, Iss 2995, p 2995 (2020)

Subject Terms: large river floodplain system, long-term dynamics, k-medoids algorithm (PAM), unsupervised machine-learning algorithm (UMLA), Science

Relation: https://www.mdpi.com/2072-4292/12/18/2995; https://doaj.org/toc/2072-4292; https://doaj.org/article/1fc10e6fad96482b854260ee0bf7723e

Availability: https://doi.org/10.3390/rs12182995
https://doaj.org/article/1fc10e6fad96482b854260ee0bf7723e

Delineating three distinct spatiotemporal patterns of brain atrophy in Parkinson’s disease ; パーキンソン病における脳萎縮の3つの異なる空間的時間的パターン

Authors: Sakato, Yusuke 坂戸, 勇介 サカト, ユウスケ

Contributors: Sakato, Yusuke 坂戸, 勇介 サカト, ユウスケ

Subject Terms: brainstem, limbic, neocortical, stuructural MRI, unsupervised machine learning algorithm, Lewy pathology

Time: 490

File Description: application/pdf

Relation: https://doi.org/10.1093/brain/awae303; https://hdl.handle.net/2433/296840; 14301

Availability: https://hdl.handle.net/2433/296840
https://doi.org/10.14989/doctor.k26181

Optimizing Merchant Discount Rate (MDR) or one of the Largest Merchant Acquirers in South America

Authors: Mathur, Gautam Goyal, Tarang Mudgil, Vinay

Subject Terms: Segmentation, Non-linear Price Elasticity Function, Unsupervised Machine Learning Algorithm, Price Optimization Algorithm

File Description: application/pdf

Relation: IC 15;061; Mathur, G., Goyal, T., & Mudgil, V. (2015). Optimizing Merchant Discount Rate (MDR) or one of the Largest Merchant Acquirers in South America. 4th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence. Indian Institute of Management, Ahmedabad; http://hdl.handle.net/11718/14045

Availability: http://hdl.handle.net/11718/14045

Optimizing Initialization, Feature Selection, and Tensor Dimension Reduction in Unsupervised Learning: Methods and Applications

Authors: Huyunting Huang Sr. (8039492)

Subject Terms: Semi- and unsupervised learning, Statistical theory, Optimizatiion, Tensor dimension reduction, Unsupervised Machine Learning Algorithm, feature secelction

Relation: https://figshare.com/articles/thesis/Optimizing_Initialization_Feature_Selection_and_Tensor_Dimension_Reduction_in_Unsupervised_Learning_Methods_and_Applications/28816607

Delineating three distinct spatiotemporal patterns of brain atrophy in Parkinson's disease.

Authors: Sakato Y Shima A Terada Y et al.

Source: Brain : a journal of neurology [Brain] 2024 Nov 04; Vol. 147 (11), pp. 3702-3713.

Publication Type: Journal Article

Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 0372537 Publication Model: Print Cited Medium: Internet ISSN: 1460-2156 (Electronic) Linking ISSN: 00068950 NLM ISO Abbreviation: Brain Subsets: MEDLINE

MeSH Terms: Parkinson Disease*/pathology , Parkinson Disease*/diagnostic imaging , Atrophy*/pathology , Magnetic Resonance Imaging* , Brain*/pathology , Brain*/diagnostic imaging , Disease Progression*, Humans ; Male ; Female ; Aged ; Middle Aged ; Cross-Sectional Studies ; Longitudinal Studies ; Positron-Emission Tomography ; Alzheimer Disease/pathology ; Alzheimer Disease/diagnostic imaging

Using Machine Learning to Compare Provaccine and Antivaccine Discourse Among the Public on Social Media: Algorithm Development Study.

Authors: Argyris YA Monu K Tan PN et al.

Source: JMIR public health and surveillance [JMIR Public Health Surveill] 2021 Jun 24; Vol. 7 (6), pp. e23105. Date of Electronic Publication: 2021 Jun 24.

Publication Type: Journal Article

Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 101669345 Publication Model: Electronic Cited Medium: Internet ISSN: 2369-2960 (Electronic) Linking ISSN: 23692960 NLM ISO Abbreviation: JMIR Public Health Surveill Subsets: MEDLINE

MeSH Terms: Anti-Vaccination Movement* , Social Media* , Vaccination*, Algorithms ; Humans ; Machine Learning