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Mohammad Mahdi Khalili
Mohammad Mahdi Khalili
Yahoo! Research, The Ohio State University
Zweryfikowany adres z yahooinc.com - Strona główna
Tytuł
Cytowane przez
Cytowane przez
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Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms
X Zhang, MM Khalili, M Liu
35th International Conference on Machine Learning (ICML 2018), 2018
1162018
Mobile EEG-Based Workers’ Stress Recognition by Applying Deep Neural Network
H Jebelli, MM Khalili, SH Lee
Advances in Informatics and Computing in Civil and Construction Engineering …, 2018
1162018
A continuously updated, computationally efficient stress recognition framework using electroencephalogram (EEG) by applying online multitask learning algorithms (OMTL)
H Jebelli, MM Khalili, SH Lee
IEEE journal of biomedical and health informatics 23 (5), 1928-1939, 2018
942018
Designing cyber insurance policies: The role of pre-screening and security interdependence
MM Khalili, P Naghizadeh, M Liu
IEEE Transactions on Information Forensics and Security 13 (9), 2226-2239, 2018
812018
A Supervised Learning-Based Construction Workers’ Stress Recognition Using a Wearable Electroencephalography (EEG) Device
H Jebelli, MM Khalili, S Hwang, SH Lee
Construction Research Congress 2018, 40-50, 2018
812018
Group Retention when Using Machine Learning in Sequential Decision Making: the Interplay between User Dynamics and Fairness
X Zhang*, MM Khalili*, C Tekin
Advances in Neural Information Processing Systems(*Equal Contribution …, 2019
722019
Embracing and controlling risk dependency in cyber-insurance policy underwriting
MM Khalili, M Liu, S Romanosky
Journal of Cybersecurity 5 (1), tyz010, 2019
392019
Improving Fairness and Privacy in Selection Problems
MM Khalili, X Zhang, M Abroshan, S Sojoudi
AAAI 2021, 2021
352021
Recycled ADMM: Improve Privacy and Accuracy with Less Computation in Distributed Algorithms
X Zhang, MM Khalili, M Liu
56th Annual Allerton Conference on Communication, Control, and Computing, 2018
342018
Recycled ADMM: Improving the Privacy and Accuracy of Distributed Algorithms
X Zhang, MM Khalili, M Liu
IEEE Transactions on Information Forensics and Security (TIFS), 2019
322019
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift
G Aminian, M Abroshan, M Khalili, M Rodrigues, L Toni
AISTATS, 2022
312022
Designing cyber insurance policies: Mitigating moral hazard through security pre-screening
MM Khalili, P Naghizadeh, M Liu
International Conference on Game Theory for Networks, 63-73, 2017
302017
Incentive design and market evolution of mobile user-provided networks
MM Khalili, L Gao, J Huang, BH Khalaj
2015 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS …, 2015
282015
Long-term impacts of fair machine learning
X Zhang, MM Khalili, M Liu
Ergonomics in Design 28 (3), 7-11, 2020
272020
Multi-level Assessment of Occupational Stress in the Field Using a Wearable EEG Headset
H JEBELLI, M HABIBNEZHAD, MM KHALILI, MS FARDHOSSEINI
272020
Fairness interventions as (dis) incentives for strategic manipulation
X Zhang, MM Khalili, K Jin, P Naghizadeh, M Liu
International Conference on Machine Learning, 26239-26264, 2022
242022
Designing cyber insurance policies in the presence of security interdependence
MM Khalili, P Naghizadeh, M Liu
Proceedings of the 12th workshop on the Economics of Networks, Systems and …, 2017
232017
Embracing risk dependency in designing cyber-insurance contracts
MM Khalili, P Naghizadeh, M Liu
2017 55th Annual Allerton Conference on Communication, Control, and …, 2017
222017
Fair Sequential Selection Using Supervised Learning Models
MM Khalili, X Zhang, M Abroshan
NeurIPS 2021, 2021
202021
Contract Design for Purchasing Private Data Using a Biased Differentially Private Algorithm
MM Khalili, X Zhang, M Liu
The 14th Workshop on the Economics of Networks, Systems and Computation …, 2019
152019
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