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ORCIDHossein Hosseini
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2020 – today
- 2024
[c24]Mohsin M. Jamali, Sepehr Arbabi, Hossein Hosseini, Lokesh Saharan:
Active Student Engagement in STEM Fields to Improve Retention and Graduation Rates. ISCAS 2024: 1-5- [c23]Lokesh Saharan, Mohsin M. Jamali, Sepehr Arbabi, Hossein Hosseini:
Impact of Summer Undergraduate Engineering Research on Student Performance Highlighted Through GPA Tracking. MWSCAS 2024: 1423-1426 - [i20]Hossein Hosseini, Mohammad Sobhan Zare, Amir Hossein Mohammadi, Arefeh Kazemi, Zahra Zojaji, Mohammad Ali Nematbakhsh:
PersianRAG: A Retrieval-Augmented Generation System for Persian Language. CoRR abs/2411.02832 (2024) - 2023
- [c22]Mohsin M. Jamali, Hossein Hosseini, Sepehr Arbabi, Harishchandra Aryal:
Role of Undergraduate Summer Research in Improving Retention of Engineering Students. ISCAS 2023: 1-5 - 2022
- [j9]Anastassios Dardas
, Brent Hall, Jon Salter, Hossein Hosseini:
A geospatial workflow for the assessment of public transit system performance using near real-time data. Trans. GIS 26(4): 1642-1664 (2022) - [c21]Mohsin M. Jamali, Sepehr Arbabi, Hossein Hosseini, Harishchandra Aryal:
Addressing Retention and Improving Performance in Gateway Engineering Courses. ISCAS 2022: 2137-2141 - 2021
- [c20]Hossein Hosseini, Hyunsin Park, Sungrack Yun, Christos Louizos, Joseph Soriaga, Max Welling:
Federated Learning of User Verification Models Without Sharing Embeddings. ICML 2021: 4328-4336 - [i19]Hossein Hosseini, Hyunsin Park, Sungrack Yun, Christos Louizos, Joseph Soriaga, Max Welling:
Federated Learning of User Verification Models Without Sharing Embeddings. CoRR abs/2104.08776 (2021) - [i18]Mohammad Samragh, Hossein Hosseini, Aleksei Triastcyn, Kambiz Azarian, Joseph Soriaga, Farinaz Koushanfar:
Unsupervised Information Obfuscation for Split Inference of Neural Networks. CoRR abs/2104.11413 (2021) - 2020
- [i17]Hossein Hosseini, Sungrack Yun, Hyunsin Park, Christos Louizos, Joseph Soriaga, Max Welling:
Federated Learning of User Authentication Models. CoRR abs/2007.04618 (2020)
2010 – 2019
- 2019
- [j8]Abedalsalam Bani-Ahmed, Mohammad Rashidi, Adel Nasiri, Hossein Hosseini:
Reliability Analysis of a Decentralized Microgrid Control Architecture. IEEE Trans. Smart Grid 10(4): 3910-3918 (2019) - [c19]Shruti Misra, Shana Moothedath, Hossein Hosseini, Joey Allen, Linda Bushnell, Wenke Lee, Radha Poovendran:
Learning Equilibria in Stochastic Information Flow Tracking Games with Partial Knowledge. CDC 2019: 4053-4060 - [c18]Hossein Hosseini, Sreeram Kannan, Radha Poovendran:
Dropping Pixels for Adversarial Robustness. CVPR Workshops 2019: 91-97 - [i16]Hossein Hosseini, Sreeram Kannan, Radha Poovendran:
Dropping Pixels for Adversarial Robustness. CoRR abs/1905.00180 (2019) - [i15]Hossein Hosseini, Sreeram Kannan, Radha Poovendran:
Are Odds Really Odd? Bypassing Statistical Detection of Adversarial Examples. CoRR abs/1907.12138 (2019) - 2018
- [j7]Hossein Hosseini, Seyed Mohamad Taghi Bathaee:
Designing three indicators to detect false data injection attacks on smart grid by dynamic state estimation. J. Intell. Fuzzy Syst. 35(5): 5593-5604 (2018) - [c17]Guosong Yang, Hossein Hosseini, Dinuka Sahabandu, Andrew Clark, João P. Hespanha, Radha Poovendran:
Modeling and Mitigating the Coremelt Attack. ACC 2018: 3410-3416 - [c16]Hossein Hosseini, Ali Hooshmand, Ratnesh Sharma:
Conditioning Neural Networks: A Case Study of Electricity Load Forecasting. IEEE BigData 2018: 2190-2196 - [c15]Hossein Hosseini, Radha Poovendran:
Semantic Adversarial Examples. CVPR Workshops 2018: 1614-1619 - [c14]Hossein Hosseini, Baicen Xiao, Mayoore Jaiswal, Radha Poovendran:
Assessing Shape Bias Property of Convolutional Neural Networks. CVPR Workshops 2018: 1923-1931 - [c13]Muhammed O. Sayin, Hossein Hosseini, Radha Poovendran, Tamer Basar:
A Game Theoretical Framework for Inter-process Adversarial Intervention Detection. GameSec 2018: 486-507 - [c12]Mehdi Assefi, Ali Hooshmand, Hossein Hosseini, Ratnesh Sharma:
Battery Degradation Temporal Modeling Using LSTM Networks. ICMLA 2018: 853-858 - [i14]Hossein Hosseini, Baicen Xiao, Mayoore Jaiswal, Radha Poovendran:
Assessing Shape Bias Property of Convolutional Neural Networks. CoRR abs/1803.07739 (2018) - [i13]Hossein Hosseini, Radha Poovendran:
Semantic Adversarial Examples. CoRR abs/1804.00499 (2018) - 2017
- [c11]Hossein Hosseini, Baicen Xiao, Andrew Clark, Radha Poovendran:
Attacking Automatic Video Analysis Algorithms: A Case Study of Google Cloud Video Intelligence API. MPS@CCS 2017: 21-32 - [c10]Hossein Hosseini, Baicen Xiao, Radha Poovendran:
Deceiving Google's Cloud Video Intelligence API Built for Summarizing Videos. CVPR Workshops 2017: 1305-1309 - [c9]Hossein Hosseini, Baicen Xiao, Radha Poovendran:
Google's Cloud Vision API is Not Robust to Noise. ICMLA 2017: 101-105 - [c8]Hossein Hosseini, Baicen Xiao, Mayoore Jaiswal, Radha Poovendran:
On the Limitation of Convolutional Neural Networks in Recognizing Negative Images. ICMLA 2017: 352-358 - [i12]Hossein Hosseini, Sreeram Kannan, Baosen Zhang, Radha Poovendran:
Deceiving Google's Perspective API Built for Detecting Toxic Comments. CoRR abs/1702.08138 (2017) - [i11]Hossein Hosseini, Yize Chen, Sreeram Kannan, Baosen Zhang, Radha Poovendran:
Blocking Transferability of Adversarial Examples in Black-Box Learning Systems. CoRR abs/1703.04318 (2017) - [i10]Hossein Hosseini, Radha Poovendran:
Deep Neural Networks Do Not Recognize Negative Images. CoRR abs/1703.06857 (2017) - [i9]Hossein Hosseini, Baicen Xiao, Radha Poovendran:
Deceiving Google's Cloud Video Intelligence API Built for Summarizing Videos. CoRR abs/1703.09793 (2017) - [i8]Hossein Hosseini, Baicen Xiao, Radha Poovendran:
Google's Cloud Vision API Is Not Robust To Noise. CoRR abs/1704.05051 (2017) - [i7]Hossein Hosseini, Baicen Xiao, Andrew Clark, Radha Poovendran:
Attacking Automatic Video Analysis Algorithms: A Case Study of Google Cloud Video Intelligence API. CoRR abs/1708.04301 (2017) - 2016
- [c7]Moreno Ambrosin, Hossein Hosseini, Kalikinkar Mandal, Mauro Conti, Radha Poovendran:
Despicable me(ter): Anonymous and fine-grained metering data reporting with dishonest meters. CNS 2016: 163-171 - [c6]Hossein Hosseini, Sreeram Kannan, Baosen Zhang, Radha Poovendran:
Learning Temporal Dependence from Time-Series Data with Latent Variables. DSAA 2016: 253-262 - [c5]Kamil Samara, Hossein Hosseini:
A routing protocol for wireless sensor networks with load balancing. EIT 2016: 156-161 - [i6]Hossein Hosseini, Sreeram Kannan, Baosen Zhang, Radha Poovendran:
Learning Temporal Dependence from Time-Series Data with Latent Variables. CoRR abs/1608.07636 (2016) - 2015
- [j6]Hossein Hosseini, Farzad Hessar, Farokh Marvasti:
Real-Time Impulse Noise Suppression from Images Using an Efficient Weighted-Average Filtering. IEEE Signal Process. Lett. 22(8): 1050-1054 (2015) - [c4]Moreno Ambrosin, Hossein Hosseini, Kalikinkar Mandal, Mauro Conti, Radha Poovendran:
Verifiable and privacy-preserving fine-grained data-collection for smart metering. CNS 2015: 655-658 - [c3]Kamil Samara, Hossein Hosseini:
A Routing Protocol for Wireless Sensor Networks with Reliable Delivery of Data. DSDIS 2015: 632-635 - 2014
- [j5]Hossein Hosseini, Behrooz Tousi, Navid Razmjooy:
Application of fuzzy subtractive clustering for optimal transient performance of automatic generation control in restructured power system. J. Intell. Fuzzy Syst. 26(3): 1155-1166 (2014) - [j4]Hossein Hosseini, Seyed Mohamad Taghi Bathaee, Ali Abedini, Majid Hosseina, Alireza Fereidunain:
Defending false data injection attack on smart grid network using neuro-fuzzy controller. J. Intell. Fuzzy Syst. 27(3): 1457-1467 (2014) - [j3]Seyed Hossein Rouhani, Abdolreza Sheikholeslami, Roya Ahmadi, Hossein Hosseini:
Using optimal fuzzy logic controller to improve transient fluctuations in deregulated power system with random variable load. J. Intell. Fuzzy Syst. 27(6): 3145-3157 (2014) - [j2]Navid Razmjooy, Bibi Somayeh Mousavi, Mohsen Khalilpour, Hossein Hosseini:
Automatic selection and fusion of color spaces for image thresholding. Signal Image Video Process. 8(4): 603-614 (2014) - [i5]Hossein Hosseini, Ali Goli, Neda Barzegar Marvasti, Masoume Azghani, Farokh Marvasti:
On Image Block Loss Restoration Using the Sparsity Pattern as Side Information. CoRR abs/1401.5966 (2014) - [i4]Hossein Hosseini, Farzad Hessar, Farokh Marvasti:
Real-Time Impulse Noise Suppression from Images Using an Efficient Weighted-Average Filtering. CoRR abs/1408.3139 (2014) - 2013
- [j1]Hossein Hosseini, Farokh Marvasti:
Fast restoration of natural images corrupted by high-density impulse noise. EURASIP J. Image Video Process. 2013: 15 (2013) - [i3]Hossein Hosseini, Behnam Bahrak, Farzad Hessar:
A GOST-like Blind Signature Scheme Based on Elliptic Curve Discrete Logarithm Problem. CoRR abs/1304.2094 (2013) - 2012
- [c2]Hossein Hosseini, Mohsen Kalantar:
An ECS-Control Scheme to Improve Power Quality in Grid Connected Wind Farms. Asia International Conference on Modelling and Simulation 2012: 173-178 - 2011
- [i2]Hossein Hosseini, Farokh Marvasti:
Fast Impulse Noise Removal from Highly Corrupted Images. CoRR abs/1105.2899 (2011) - 2010
- [i1]Hossein Hosseini, Neda Barzegar Marvasti, Farrokh Marvasti:
Image Inpainting Using Sparsity of the Transform Domain. CoRR abs/1011.5458 (2010)
2000 – 2009
- 2001
- [c1]Hossein Hosseini, Behrooz Rohani, Bijan Rohani:
Objective characterization of voice service quality in wideband CDMA. VTC Fall 2001: 2708-2711
Coauthor Index
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