Search Results

DrugMetric: quantitative drug-likeness scoring based on chemical space distance.

• Authors : Li, Bowen¹ (AUTHOR); Wang, Zhen^1,2 (AUTHOR); Liu, Ziqi^1,3 (AUTHOR)

Subjects: *DEEP learning; *GAUSSIAN mixture models; *DRUG discovery

• Source: Briefings in Bioinformatics. Jul2024, Vol. 25 Issue 4, p1-11. 11p.

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Unsupervised approach for an optimal representation of the latent space of a failure analysis dataset.

• Authors : Rammal, Abbas¹ (AUTHOR) ; Ezukwoke, Kenneth¹ (AUTHOR); Hoayek, Anis¹ (AUTHOR)

Subjects: *MACHINE learning; *GAUSSIAN mixture models; *LATENT semantic analysis

• Source: Journal of Supercomputing. Mar2024, Vol. 80 Issue 5, p5923-5949. 27p.

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Applied Science & Technology Full Text (H.W. Wilson)

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Explainable AI-Based Ensemble Clustering for Load Profiling and Demand Response.

• Authors : Sarmas, Elissaios¹ (AUTHOR) ; Fragkiadaki, Afroditi¹ (AUTHOR); Marinakis, Vangelis¹ (AUTHOR)

Subjects: *GAUSSIAN mixture models; *SELF-organizing maps; *ARTIFICIAL intelligence

• Source: Energies (19961073). Nov2024, Vol. 17 Issue 22, p5559. 27p.

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Gaussian Mixture Model Based Voronoi Partitioning Scheme in Multi-Beam Satellites.

• Authors : Kashyap, Shwet¹ (AUTHOR); Gupta, Nisha¹ (AUTHOR)

Subjects: *MACHINE learning; *GAUSSIAN mixture models; *ARTIFICIAL intelligence

• Source: IETE Journal of Research. Nov2024, p1-14. 14p. 8 Illustrations.

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Human-in-the-Loop—A Deep Learning Strategy in Combination with a Patient-Specific Gaussian Mixture Model Leads to the Fast Characterization of Volumetric Ground-Glass Opacity and Consolidation in the Computed Tomography Scans of COVID-19 Patients.

• Authors : Vásquez-Venegas, Constanza^1,2 (AUTHOR) ; Sotomayor, Camilo G.^2,3 (AUTHOR) ; Ramos, Baltasar⁴ (AUTHOR)

Subjects: *GAUSSIAN mixture models; *COVID-19; *COMPUTED tomography

• Source: Journal of Clinical Medicine. Sep2024, Vol. 13 Issue 17, p5231. 14p.

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Unsupervised classification of multi-contrast magnetic resonance histology of peripheral arterial disease lesions using a convolutional variational autoencoder with a Gaussian mixture model in latent space: A technical feasibility study.

• Authors : Csore, Judit^1,2 (AUTHOR) ; Roy, Trisha L.¹ (AUTHOR); Wright, Graham³ (AUTHOR)

Subjects: *GAUSSIAN mixture models; *PERIPHERAL vascular diseases; *DEEP learning

• Source: Computerized Medical Imaging & Graphics. Jul2024, Vol. 115, pN.PAG-N.PAG. 1p.

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Classification of Coastal Benthic Substrates Using Supervised and Unsupervised Machine Learning Models on North Shore of the St. Lawrence Maritime Estuary (Canada).

• Authors : Labbé-Morissette, Guillaume; Leclercq, Théau; Charron-Morneau, Patrick

Subjects: MACHINE learning; SUPERVISED learning; GAUSSIAN mixture models

• Source: Geomatics (2673-7418); Sep2024, Vol. 4 Issue 3, p237-252, 16p

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Privacy and surveillance concerns in machine learning fall prediction models: implications for geriatric care and the internet of medical things.

• Authors : Yang, Russell

Subjects: COMPUTER vision; MACHINE learning; GAUSSIAN mixture models

• Source: AI & Society; Aug2024, Vol. 39 Issue 4, p1969-1973, 5p

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GMM‐LIME explainable machine learning model for interpreting sensor‐based human gait.

• Authors : Mulwa, Mercy Mawia; Mwangi, Ronald Waweru; Mindila, Agnes

Subjects: GAUSSIAN mixture models; ASSISTIVE technology; RANDOM forest algorithms

• Source: Engineering Reports; Oct2024, Vol. 6 Issue 10, p1-15, 15p

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