Assessing the performance of 3D pharmacophore models in virtual screening: how good are they?

RC Braga, CH Andrade - Current topics in medicinal chemistry, 2013 - ingentaconnect.com
Pharmacophore approaches have evolved to be one of the most successful tools in drug
discovery, especially since the past two decades. 3D pharmacophore methods are now …

On the importance of polar interactions for complexes containing intrinsically disordered proteins

ETC Wong, D Na, J Gsponer - PLoS computational biology, 2013 - journals.plos.org
There is a growing recognition for the importance of proteins with large intrinsically
disordered (ID) segments in cell signaling and regulation. ID segments in these proteins …

Supervised classification of spam emails with natural language stylometry

R Shams, RE Mercer - Neural Computing and Applications, 2016 - Springer
Email spam is one of the biggest threats to today's Internet. To deal with this threat, there are
long-established measures like supervised anti-spam filters. In this paper, we report the …

Evaluating the Usefulness of Binary Classifier Based on Enhanced ROC Analysis

OA Zhukovska, LS Fainzilberg - Cybernetics and Systems Analysis, 2023 - Springer
The definition of the usefulness of the binary classifier from the point of view of reducing the
a priori risk of false classification is formulated. Sufficient conditions are proposed to …

ChainSpot: mining service logs for cyber security threat detection

JS Wu, YJ Lee, TE Wei, CH Hsieh… - 2016 IEEE Trustcom …, 2016 - ieeexplore.ieee.org
Given service logs of who used what service, and when, how can we find intrusions and
anomalies? In this paper, a cyber threat detection framework-ChainSpot was proposed, in …

[图书][B] Classification of soft tissue tumors by machine learning algorithms

J Juntu, AM De Schepper, D Van Dyck, J Gielen… - 2011 - researchgate.net
MR imaging is currently regarded as the standard diagnostic tool for detection and grading
of soft tissue tumors (STT)(De Schepper et al.(2005)). Soft tissue is a term describing all the …

Development of a Machine Learning-Based Financial Risk Control System

Z Hu - 2022 - search.proquest.com
With the gradual end of the COVID-19 outbreak and the gradual recovery of the economy,
more and more individuals and businesses are in need of loans. This demand brings …

The Knowledge Discovery of the Nuclear Power Issue Using the Artificial Intelligence Model: An Example of the CART and the SVM

YS Chung, MHC Ho, SJ Huang, SW Liang - 網際網路技術學刊, 2016 - airitilibrary.com
After the nuclear accidents in the Fukushima Daiichi Nuclear Power Plant, the public has
become increasingly concerned about nuclear power policies. We employed the CART and …

[PDF][PDF] Національний технічний університет Укра¿ ни «Ки¿ вський політехнічний інститут імені Ігоря Сікорського», Ки¿ в, Укра¿ на, ermail: zhukovskaya71 …

ОА ЖУКОВСЬКА - 2023 - fainzilberg.irtc.org.ua
Сформульовано означення корисності бінарного класифікатора в сенсі зменr шення
апріорного ризику помилково¿ класифікаці¿. Запропоновано достатні умови, що гаr …

ОЦІНЮВАННЯ КОРИСНОСТІ БІНАРНОГО КЛАСИФІКАТОРА НА ОСНОВІ УДОСКОНАЛЕНОГО МЕТОДУ ROC-АНАЛІЗУ.

ОА Жуковська… - Kibernetiki i Sistemnyj …, 2023 - search.ebscohost.com
Сформульовано означення корисності бінарного класифікатора в сенсі зменr шення
апріорного ризику помилково¿ класифікаці¿. Запропоновано достатні умови, що гаr …