Search Results for author: Mohammad Hashemi

Found 5 papers, 2 papers with code

A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation

2 code implementations29 Jan 2024 Mohammad Hashemi, Shengbo Gong, Juntong Ni, Wenqi Fan, B. Aditya Prakash, Wei Jin

In this survey, we aim to provide a comprehensive understanding of graph reduction methods, including graph sparsification, graph coarsening, and graph condensation.

Fully Automated Assessment of Cardiac Coverage in Cine Cardiovascular Magnetic Resonance Images using an Explainable Deep Visual Salient Region Detection Model

no code implementations14 Jun 2022 Shahabedin Nabavi, Mohammad Hashemi, Mohsen Ebrahimi Moghaddam, Ahmad Ali Abin, Alejandro F. Frangi

The accuracy of the baseline model in identifying the presence/absence of basal/apical slices is 96. 25\% and 94. 51\%, respectively, which increases to 96. 88\% and 95. 72\% after improving using the proposed salient region detection model.

Parkinson's Disease Diagnosis based on Gait Cycle Analysis Through an Interpretable Interval Type-2 Neuro-Fuzzy System

no code implementations2 Sep 2021 Armin Salimi-Badr, Mohammad Hashemi, Hamidreza Saffari

Therefore, experts can verify the decision made by the proposed method based on investigating the firing strength of interpretable fuzzy rules.

FPGA-based Implementation of a New Data Frame Correction System for Merging Units

no code implementations26 Aug 2021 Mohammad Hashemi, Bijan Alizadeh

With today's increasing demand for digital devices in Substation Automation Systems (SAS) based on the IEC61850 standard, the measured data error due to the synchronization problem should be considered as a significant problem in digitalized SAS.

Stochastic Substitute Training: A Gray-box Approach to Craft Adversarial Examples Against Gradient Obfuscation Defenses

1 code implementation23 Oct 2018 Mohammad Hashemi, Greg Cusack, Eric Keller

For those defenses that have tried to make models more robust, with our technique, an adversary can craft adversarial examples with no knowledge of the defense.

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