Search Results - "Vosoughi, M. Ali"

Large-scale nonlinear Granger causality for inferring directed dependence from short multivariate time-series data by Wismüller, Axel, Dsouza, Adora M., Vosoughi, M. Ali, Abidin, Anas

“…A key challenge to gaining insight into complex systems is inferring nonlinear causal directional relations from observational time-series data. Specifically,…”
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Early-stage COVID-19 pandemic observations on pulmonary embolism using nationwide multi-institutional data harvesting by Wismüller, Axel, DSouza, Adora M., Abidin, Anas Z., Ali Vosoughi, M., Gange, Christopher, Cortopassi, Isabel O., Bozovic, Gracijela, Bankier, Alexander A., Batra, Kiran, Chodakiewitz, Yosef, Xi, Yin, Whitlow, Christopher T., Ponnatapura, Janardhana, Wendt, Gary J., Weinberg, Eric P., Stockmaster, Larry, Shrier, David A., Shin, Min Chul, Modi, Roshan, Lo, Hao Steven, Kligerman, Seth, Hamid, Aws, Hahn, Lewis D., Garcia, Glenn M., Chung, Jonathan H., Altes, Talissa, Abbara, Suhny, Bader, Anna S.

“…We introduce a multi-institutional data harvesting (MIDH) method for longitudinal observation of medical imaging utilization and reporting. By tracking both…”
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Combined Distinguishers to Enhance the Accuracy and Success of Side Channel Analysis by Vosoughi, M. Ali, Kose, Selcuk

“…For the first time, the combination of mutual information analysis and correlation power analysis is proposed to enhance the accuracy and success rate of side…”
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Distributed Injection-Locking in Analog Ising Machines to Solve Combinatorial Optimizations by Vosoughi, M. Ali

“…The oscillator-based Ising machine (OIM) is a network of coupled CMOS oscillators that solves combinatorial optimization problems. In this paper, the…”
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Distributed Injection-Locking in Analog Ising Machines to Solve Combinatorial Optimizations by Vosoughi, M. Ali

“…The oscillator-based Ising machine (OIM) is a network of coupled CMOS oscillators that solves combinatorial optimization problems. In this paper, the…”
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Leveraging Pre-Images to Discover Nonlinear Relationships in Multivariate Environments by Vosoughi, M. Ali, Wismuller, Axel

“…Causal discovery, beyond the inference of a network as a collection of connected dots, offers a crucial functionality in scientific discovery using artificial…”
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Classification of Schizophrenia from Functional MRI Using Large-scale Extended Granger Causality by Wismüller, Axel, Vosoughi, M. Ali

“…The literature manifests that schizophrenia is associated with alterations in brain network connectivity. We investigate whether large-scale Extended Granger…”
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Large-scale Augmented Granger Causality (lsAGC) for Connectivity Analysis in Complex Systems: From Computer Simulations to Functional MRI (fMRI) by Wismuller, Axel, Vosoughi, M. Ali

“…We introduce large-scale Augmented Granger Causality (lsAGC) as a method for connectivity analysis in complex systems. The lsAGC algorithm combines dimension…”
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Large-Scale Extended Granger Causality for Classification of Marijuana Users From Functional MRI by Vosoughi, M. Ali, Wismuller, Axel

“…It has been shown in the literature that marijuana use is associated with changes in brain network connectivity. We propose large-scale Extended Granger…”
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Leveraging Pre-Images to Discover Nonlinear Relationships in Multivariate Environments by Vosoughi, M. Ali, Wismuller, Axel

“…Causal discovery, beyond the inference of a network as a collection of connected dots, offers a crucial functionality in scientific discovery using artificial…”
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Large-scale kernelized GRANGER causality to infer topology of directed graphs with applications to brain networks by Vosoughi, M. Ali, Wismuller, Axel

“…Graph topology inference of network processes with co-evolving and interacting time-series is crucial for network studies. Vector autoregressive models (VAR)…”
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Bus-Invert Coding as a Low-Power Countermeasure Against Correlation Power Analysis Attack by Vosoughi, M. Ali, Wang, Longfei, Kose, Selcuk

“…Bus-invert coding technique is utilized to increase the security of cryptographic circuits (CC) against correlation power analysis attacks. The bus-invert…”
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