E-LIB Suche - Ergebnisse für: Parvandeh, Saeid

1

EPIMUTESTR: a nearest neighbor machine learning approach to..:

Parvandeh, Saeid ; Donehower, Lawrence A ; Katsonis, Panagiotis...
Nucleic Acids Research. 50 (2022) 12 - p. e70-e70 , 2022

Link: https://doi.org/10.1093/..

2

Multi-Level Model to Predict Antibody Response to Influenza..:

Parvandeh, Saeid ; Poland, Greg A. ; Kennedy, Richard B..
Microorganisms. 7 (2019) 3 - p. 79 , 2019

Link: https://doi.org/10.3390/..

3

Random forest regression prediction of solid particle Erosi..:

Zahedi, Peyman ; Parvandeh, Saeid ; Asgharpour, Alireza...
Powder Technology. 338 (2018) - p. 983-992 , 2018

Link: https://doi.org/10.1016/..

4

Multi-Level Model to Predict Antibody Response to Influenza..:

Parvandeh, Saeid ; Poland, Greg A ; Kennedy, Richard B.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6462975/. , 2019

Link: http://www.ncbi.nlm.nih...

5

PerSum: Novel Systems for Document Summarization in Persian:

Parvandeh, Saeid ; Lahiri, Shibamouli ; Boroumand, Fahimeh
http://arxiv.org/abs/1606.03143. , 2016

Link: http://arxiv.org/abs/160..

6

A modified single and multi-objective bacteria foraging opt..:

Parvandeh, Saeid ; Soltani, Parya ; Boroumand, Mohammadreza.
http://arxiv.org/abs/1606.04055. , 2016

Link: http://arxiv.org/abs/160..

7

Bacteria Foraging Optimization with Genetic Operators for Q..:

Parvandeh, Saeid
Parvandeh, Saeid. (2013). Bacteria Foraging Optimization with Genetic Operators for QAP and mQAP. Thesis (M.S.), Eastern Mediterranean University, Institute of Graduate Studies and Research, Dept. of Computer Engineering, Famagusta: North Cyprus.. , 2013

Link: http://hdl.handle.net/11..

8

Multi-Level Model to Predict Antibody Response to Influenza..:

Saeid Parvandeh ; Greg A. Poland ; Richard B. Kennedy.
https://dx.doi.org/10.3390/microorganisms7030079. , 2019

Link: https://doi.org/10.3390/..

9

Multi-Level Model to Predict Antibody Response to Influenza..:

Saeid Parvandeh ; Greg A. Poland ; Richard B. Kennedy.
http://www.mdpi.com/2076-2607/7/3/79. , 2019

Link: https://doi.org/10.3390/..