Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Eugene Pinsky"'
Autor:
Mingjun Ma, Eugene Pinsky
Publikováno v:
Data Science and Management, Vol 7, Iss 1, Pp 1-6 (2024)
An electric vehicle is becoming one of the popular choices when choosing a vehicle. People are generally impressed with electric vehicles’ zero-emission and smooth drives, while unstable battery duration keeps people away. This study tries to ident
Externí odkaz:
https://doaj.org/article/739c366e21a44442bddcf58c39588243
Autor:
Yuhe Wang, Eugene Pinsky
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 9 (2023)
Triangular distributions are widely used in many applications with limited sample data, business simulations, and project management. As with other distributions, a standard way to measure deviations is to compute the standard deviation. However, the
Externí odkaz:
https://doaj.org/article/7d3b5eaa24d641dfa84f997a030d3dfd
Autor:
Eugene Pinsky, Sidney Klawansky
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 9 (2023)
In classical probability and statistics, one computes many measures of interest from mean and standard deviation. However, mean, and especially standard deviation, are overly sensitive to outliers. One way to address this sensitivity is by considerin
Externí odkaz:
https://doaj.org/article/3d5774ea38f945948d83f0e93994cd26
Autor:
Maryan Rizinski, Andrej Jankov, Vignesh Sankaradas, Eugene Pinsky, Igor Mishkovski, Dimitar Trajanov
Publikováno v:
Information, Vol 15, Iss 2, p 77 (2024)
The task of company classification is traditionally performed using established standards, such as the Global Industry Classification Standard (GICS). However, these approaches heavily rely on laborious manual efforts by domain experts, resulting in
Externí odkaz:
https://doaj.org/article/40d33d9cfd374735ac61c1237bb98d74
Publikováno v:
Frontiers in Artificial Intelligence, Vol 6 (2023)
We present a methodology for using machine learning for planning treatments. As a case study, we apply the proposed methodology to Breast Cancer. Most of the application of Machine Learning to breast cancer has been on diagnosis and early detection.
Externí odkaz:
https://doaj.org/article/7a86377e79a949d199627d9660851f67
Publikováno v:
Frontiers in Aging, Vol 4 (2023)
This paper presents a global statistical analysis of the RNA-Seq results of the entire Mus musculus genome. We explain aging by a gradual redistribution of limited resources between two major tasks of the organism: its self-sustenance based on the fu
Externí odkaz:
https://doaj.org/article/bc8884ef73b545ba9ced813e93591df6
Autor:
Andrei Vasiukevich, Eugene Pinsky
Publikováno v:
Machine Learning with Applications, Vol 10, Iss , Pp 100434- (2022)
Portfolio construction is an important practical problem in finance. In the traditional approach, introduced by Markowitz, one assumes normally distributed returns and constructs a portfolio with a minimum risk (measured by the standard deviation of
Externí odkaz:
https://doaj.org/article/db324c2e6dc14900a622e97d6b5c2280
Publikováno v:
Transactions of the International Society for Music Information Retrieval, Vol 5, Iss 1 (2022)
We implement a novel approach to automatic harmonic analysis using a clustering method on pitch-class vectors (chroma vectors). The advantage of this method is its lack of top-down assumptions, allowing us to objectively validate the basic music theo
Externí odkaz:
https://doaj.org/article/58b9aa05e5bf462abb82d06ad7e825d1
Autor:
Morteza Homayounfar, Amirhossein Malekijoo, Aku Visuri, Chelsea Dobbins, Ella Peltonen, Eugene Pinsky, Kia Teymourian, Reza Rawassizadeh
Publikováno v:
Sensors, Vol 20, Iss 13, p 3784 (2020)
Smartwatch battery limitations are one of the biggest hurdles to their acceptability in the consumer market. To our knowledge, despite promising studies analyzing smartwatch battery data, there has been little research that has analyzed the battery u
Externí odkaz:
https://doaj.org/article/96f59fcfd0c64f5e90abec8add323d5b
Publikováno v:
Cutting Edge Research in Biology Vol. 2 ISBN: 9789355479815
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61cc0e380035ac71a911bbd2bb4a54f9
https://doi.org/10.9734/bpi/cerb/v2/17549d
https://doi.org/10.9734/bpi/cerb/v2/17549d
