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Anomaly Detection in High-Dimensional Bank Account Balances via Robust Methods

• Authors : Maddanu, Federico; Proietti, Tommaso; Crupi, Riccardo

Subjects: Machine Learning

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Double machine learning methods for estimating average treatment effects: a comparative study.

• Authors : Tan X; Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA.; Yang S

Subjects: Machine Learning*/Machine Learning*/Machine Learning*/statistics & numerical data ; Comparative Effectiveness Research*/Comparative Effectiveness Research*/Comparative Effectiveness Research*/statistics & numerical data ; Models, Statistical*

• Source: Journal of biopharmaceutical statistics [J Biopharm Stat] 2025 Oct; Vol. 35 (6), pp. 1176-1195. Date of Electronic Publication: 2025 Apr 21.Publisher: Taylor & Francis Country of Publication: England NLM ID: 9200436 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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The Minimal Ellipsoid and Robust Methods in the Optimal Portfolio Problem.

• Authors : N., Danilova¹ ; K., Yao²

• Source: Engineering Letters. Dec2022, Vol. 30 Issue 4, p1465-1469. 5p.

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Robust and consistent biomarker candidates identification by a machine learning approach applied to pancreatic ductal adenocarcinoma metastasis.

• Authors : Mahawan T; Program in Bioinformatics and Computational Biology, Graduate School, Chulalongkorn University, Bangkok, Thailand.; Department of Biochemistry & System Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK.

Subjects: Carcinoma, Pancreatic Ductal*/Carcinoma, Pancreatic Ductal*/Carcinoma, Pancreatic Ductal*/genetics ; Pancreatic Neoplasms*/Pancreatic Neoplasms*/Pancreatic Neoplasms*/genetics ; Biomarkers, Tumor*/Biomarkers, Tumor*/Biomarkers, Tumor*/genetics

• Source: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2024 Jun 20; Vol. 24 (Suppl 4), pp. 175. Date of Electronic Publication: 2024 Jun 20.Publisher: BioMed Central Country of Publication: England NLM ID: 101088682 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6947

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Revisiting genome-wide association studies from statistical modelling to machine learning.

• Authors : Sun S; Institute of Fundamental and Frontier Sciences at the University of Electronic Science and Technology of China, Chengdu, China.; Dong B

Subjects: Epistasis, Genetic* ; Genome-Wide Association Study* ; Linkage Disequilibrium*

• Source: Briefings in bioinformatics [Brief Bioinform] 2021 Jul 20; Vol. 22 (4).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium: Internet ISSN:

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Ensemble machine learning of factors influencing COVID-19 across US counties.

• Authors : McCoy D; Division of Environmental Health Sciences, UC Berkeley, Berkeley, CA, 94720, USA.; Mgbara W

Subjects: Machine Learning*; COVID-19/COVID-19/COVID-19/*epidemiology; Black or African American/Black or African American/Black or African American/statistics & numerical data

• Source: Scientific reports [Sci Rep] 2021 Jun 03; Vol. 11 (1), pp. 11777. Date of Electronic Publication: 2021 Jun 03.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Architectures and accuracy of artificial neural network for disease classification from omics data.

• Authors : Yu H; Department of Internal Medicine, University of New Mexico, Albuquerque, NM, 87131, USA.; Samuels DC

Subjects: Neural Networks, Computer*; Deep Learning/Deep Learning/Deep Learning/*trends ; Gene Expression Profiling/Gene Expression Profiling/Gene Expression Profiling/*statistics & numerical data

• Source: BMC genomics [BMC Genomics] 2019 Mar 04; Vol. 20 (1), pp. 167. Date of Electronic Publication: 2019 Mar 04.Publisher: BioMed Central Country of Publication: England NLM ID: 100965258 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2164

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DL-ADR: a novel deep learning model for classifying genomic variants into adverse drug reactions.

• Authors : Liang Z; School of Information Technology, York University, Toronto, ON, M3J1P3, Canada.; Huang JX

Subjects: Drug-Related Side Effects and Adverse Reactions*/Drug-Related Side Effects and Adverse Reactions*/Drug-Related Side Effects and Adverse Reactions*/classification ; Drug-Related Side Effects and Adverse Reactions*/Drug-Related Side Effects and Adverse Reactions*/Drug-Related Side Effects and Adverse Reactions*/genetics ; Machine Learning*

• Source: BMC medical genomics [BMC Med Genomics] 2016 Aug 10; Vol. 9 Suppl 2, pp. 48. Date of Electronic Publication: 2016 Aug 10.Publisher: BioMed Central Country of Publication: England NLM ID: 101319628 Publication Model: Electronic Cited Medium: Internet ISSN: 1755-8794

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Unsupervised cross domain adaptive anomaly detection network for Internet of Things traffic.

• Authors : Yuan, Tiange; Zhai, Di; Li, Anchao

Subjects: ANOMALY detection (Computer security); INTERNET of things; MACHINE learning

• Source: PLoS ONE; 4/2/2026, Vol. 21 Issue 4, p1-17, 17p

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Introduction to computational causal inference using reproducible Stata, R, and Python code: A tutorial.

• Authors : Smith, Matthew J; Mansournia, Mohammad A; Maringe, Camille

Subjects: G-methods; causal inference; double-robust methods

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