Machine learning in materials science

J Wei, X Chu, XY Sun, K Xu, HX Deng, J Chen, Z Wei… - InfoMat, 2019 - Wiley Online Library
Traditional methods of discovering new materials, such as the empirical trial and error
method and the density functional theory (DFT)‐based method, are unable to keep pace …

Cell death discrimination with Raman spectroscopy and support vector machines

G Pyrgiotakis, OE Kundakcioglu, K Finton… - Annals of biomedical …, 2009 - Springer
In the present study, Raman spectroscopy is employed to assess the potential toxicity of
chemical substances. Having several advantages compared to other traditional methods …

[图书][B] Data mining and mathematical programming

PM Pardalos, P Hansen - 2008 - books.google.com
Data mining aims at finding interesting, useful or profitable information in very large
databases. The enormous increase in the size of available scientific and commercial …

Raman spectroscopy and support vector machines for quick toxicological evaluation of titania nanoparticles

G Pyrgiotakis, OE Kundakcioglu… - Journal of Raman …, 2011 - Wiley Online Library
With the rapid development of nanotechnology products, there is a significant concern on
the adverse effects that might be associated with them. Traditional biological assays are …

Incremental classification with generalized eigenvalues

C Cifarelli, MR Guarracino, O Seref, S Cuciniello… - Journal of …, 2007 - Springer
Supervised learning techniques are widely accepted methods to analyze data for scientific
and real world problems. Most of these problems require fast and continuous acquisition of …

[PDF][PDF] Classification via mathematical programming

PM Pardalos, OE Kundakcioglu - Appl. Comput. Math, 2009 - researchgate.net
This survey concerns applications of mathematical programming in the context of
classification. We mainly discuss two supervised learning methods: Support Vector …

[PDF][PDF] Selective linear and nonlinear classification

O Seref, OE Kundakcioglu… - CRM Proceedings and …, 2008 - researchgate.net
We introduce a generalized support vector classification problem: Let Xi, i= 1,..., n be
mutually exclusive sets of pattern vectors such that all pattern vectors xi, k, k= 1,...,| Xi| have …

Secondary structure classification of isoform protein markers in oncology

G Patrizi, C Cifarelli, V Losacco, G Patrizi - Mathematical Approaches to …, 2011 - Springer
The determination of the secondary structure of proteins can be considered a relevant
procedure to characterise isoform protein markers for cancer and other pathologies. Their …

Nonlinear Recognition Methods for Oncological Pathologies

G Patrizi, V Pietropaolo, A Carbone… - Data Mining for …, 2012 - Springer
A biomarker, or biological marker is a substance used as an indicator of a biological state. It
is used in many scientific fields. The determination and function of the biomarker can be …

[引用][C] Combinatorial and Nonlinear Optimization Techniques in Pattern Recognition with Applications in Healthcare

OE Kundakcioglu - 2009 - University of Florida