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Amir Reza  Alizad-Rahvar
Amir Reza Alizad-Rahvar
Senior Post Doctoral Research Fellow, IPM, Iran
Verifierad e-postadress på ipm.ir
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Characterizing genomic alterations in cancer by complementary functional associations
JW Kim, OB Botvinnik, O Abudayyeh, C Birger, J Rosenbluh, Y Shrestha, ...
Nature biotechnology 34 (5), 539-546, 2016
1012016
LogicNet: probabilistic continuous logics in reconstructing gene regulatory networks
SA Malekpour, AR Alizad-Rahvar, M Sadeghi
BMC bioinformatics 21 (1), 1-21, 2020
92020
A new approach for UWB channel estimation
AR Alizad, B Alipanahi, A Ghasemi, M Shiva, SH Jamali, ...
2005 5th International Conference on Information Communications & Signal …, 2005
92005
Channel estimation for time-hopping pulse position modulation ultra-wideband communication systems
AR Alizad, B Alipanahi, M Shiva, SH Jamali, S Nader-Esfahani
IET communications 2 (8), 1051-1060, 2008
72008
Boundary effect correction in k-nearest-neighbor estimation
AR Alizad Rahvar, M Ardakani
Physical Review E 83 (5), 051121, 2011
62011
False Negative Mitigation in Group Testing for COVID-19 Screening
AR Alizad-Rahvar, S Vafadar, M Totonchi, M Sadeghi
Frontiers in Medicine 8, 579, 2021
52021
Ambiguity in logic-based models of gene regulatory networks: An integrative multi-perturbation analysis
AR Alizad-Rahvar, M Sadeghi
PLOS ONE 13 (11), e0206976, 2018
42018
Finding weak directional coupling in multiscale time series
AR Alizad-Rahvar, M Ardakani
Physical Review E 86 (1), 016215, 2012
42012
A blind channel estimation technique for TH-PPM UWB systems
AR Alizad, B Alipanahi, A Ghasemi, M Shiva, SH Jamali, ...
2006 IEEE International Conference on Communications 10, 4717-4722, 2006
32006
Effect of asymptomatic transmission and emergence time on multi-strain viral disease severity
AR Alizad-Rahvar, M Sadeghi
PLOS ONE, 2022
2022
Nonlinear Dynamic Causality Inference in Time Series
AR Alizad-Rahvar
University of Alberta (Canada), 2014
2014
A new method for detecting non-linear causality in time series
AR Alizad-Rahvar
via Ampère 2, Politecnico di Milano, Aula Rogers, Milan, Italy http://www2 …, 2013
2013
THE COUPLING SPECTRUM: A NEW METHOD FOR DETECTING TEMPORAL NONLINEAR CAUSALITY IN FINANCIAL TIME SERIES
AR Alizad-Rahvar, M Ardakani, I Cribben
THE 7th INTERNATIONAL DAYS OF STATISTICS AND ECONOMICS, 2013
2013
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Artiklar 1–13