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Amir Reza  Alizad-Rahvar
Amir Reza Alizad-Rahvar
Senior Post Doctoral Research Fellow, IPM, Iran
Verified email at ipm.ir
Title
Cited by
Cited by
Year
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
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
LogicNet: probabilistic continuous logics in reconstructing gene regulatory networks
SA Malekpour, AR Alizad-Rahvar, M Sadeghi
BMC bioinformatics 21 (1), 1-21, 2020
82020
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
42021
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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Articles 1–13