| 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 | 132 | 2018 |
| 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 | 122 | 2018 |
| 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 | 108 | 2018 |
| 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 | 93 | 2018 |
| 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 | 88 | 2018 |
| 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 | 86 | 2019 |
| Embracing and controlling risk dependency in cyber-insurance policy underwriting MM Khalili, M Liu, S Romanosky Journal of Cybersecurity 5 (1), tyz010, 2019 | 43 | 2019 |
| Improving Fairness and Privacy in Selection Problems MM Khalili, X Zhang, M Abroshan, S Sojoudi AAAI 2021, 2021 | 40 | 2021 |
| 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 | 36 | 2018 |
| An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift G Aminian, M Abroshan, M Khalili, M Rodrigues, L Toni AISTATS, 2022 | 35 | 2022 |
| 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 | 34 | 2019 |
| Long-term impacts of fair machine learning X Zhang, MM Khalili, M Liu Ergonomics in Design 28 (3), 7-11, 2020 | 33 | 2020 |
| Multi-level Assessment of Occupational Stress in the Field Using a Wearable EEG Headset H JEBELLI, M HABIBNEZHAD, MM KHALILI, MS FARDHOSSEINI | 31 | 2020 |
| 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 | 30 | 2022 |
| 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 | 30 | 2017 |
| Fair Sequential Selection Using Supervised Learning Models MM Khalili, X Zhang, M Abroshan NeurIPS 2021, 2021 | 28 | 2021 |
| 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 | 26 | 2015 |
| 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 | 25 | 2017 |
| Embracing risk dependency in designing cyber-insurance contracts MM Khalili, P Naghizadeh, M Liu 2017 55th Annual Allerton Conference on Communication, Control, and …, 2017 | 22 | 2017 |
| Counterfactually Fair Representation Z Zou, MM Khalili, X Zhang NeurIPS 2023, 2023 | 20 | 2023 |
Mingyan LiuUniversity of Michigan, Electrical Engineering & Computer ScienceVerified email at umich.edu
