| Mobile marketing communication: Learning from 45 popular cases for campaign designing S Mirbagheri, M Hejazinia International Journal of Mobile Marketing 5 (1), 175-192, 2010 | 53 | 2010 |
| wide network learning with differential privacy huanyu zhang, ilya mironov, meisam hejazinia arxiv.org/abs/2103.01294, 2021 | 22 | 2021 |
| Constructing bundled offers for airline customers M Madireddy, R Sundararajan, G Doreswamy, MH Nia, A Mital Journal of Revenue and Pricing Management 16 (6), 532-552, 2017 | 12 | 2017 |
| Federated Linear Contextual Bandits with User-level Differential Privacy R Huang, H Ruiquan, L Melis, M Shen, M Hajzinia, J Yang ICML - International Conference on Machine Learning, 2023 | 6 | 2023 |
| Fel: High capacity learning for recommendation and ranking via federated ensemble learning M Hejazinia, D Huba, I Leontiadis, K Maeng, M Malek, L Melis, I Mironov, ... arXiv preprint arXiv:2206.03852, 2022 | 5 | 2022 |
| A simple deep personalized recommendation system P Mitsoulis-Ntompos, M Hejazinia, S Zhang, T Brady arXiv preprint arXiv:1906.11336, 2019 | 5 | 2019 |
| Accelerated learning from recommender systems using multi-armed bandit M Hejazinia, K Eastman, S Ye, A Amirabadi, R Divvela arXiv preprint arXiv:1908.06158, 2019 | 4 | 2019 |
| M-learning system over MANET on mobile phones M Hejazinia, MR Razzazi 2010 4th International Conference on Distance Learning and Education, 125-128, 2010 | 4 | 2010 |
| Commercial activities through mobile phone distributed processing integrated with mobile agents M Hejazinia, M Razzazi Journal of Emerging Technologies in Web Intelligence 2 (3), 182-190, 2010 | 4 | 2010 |
| Social big data analytics of consumer choices: a two sided online platform perspective MH Nia The University of Texas at Dallas, 2016 | 3 | 2016 |
| The Winner’s Curse in Dynamic Forecasting of Auction Data: Empirical Evidence from eBay E Haruvy, MH Nia, Ö Özer, AS Şimşek Manufacturing & Service Operations Management 25 (3), 1155-1175, 2023 | 2 | 2023 |
| Deep personalized re-targeting M Hejazinia, P Mitsoulis-Ntompos, S Zhang Proceedings of the 2019 IEEE/ACM International Conference on Advances in …, 2019 | 1 | 2019 |
| Measuring Gamification Elements’ Effects on User Content Generation: An Empirical Study of Stackoverflow’s Two Sided Platform’s Big Data M Hejazi Nia Available at SSRN 2868582, 2016 | 1 | 2016 |
| A Decision Support System for Inbound Marketers: An Empirical Use of Latent Dirichlet Allocation Topic Model to Guide Infographic Designers M Hejazi Nia Available at SSRN 2863111, 2015 | 1 | 2015 |
| A Decision Support System for Inbound Marketers: An Empirical Use of Latent Dirichlet Allocation Topic Model to Guide Infographic Designers M Hejazinia American Marketing Association Educator Conference 2015 (https://www.ama.org …, 2015 | 1 | 2015 |
| What Product Reviews Text Can Teach Us about Important Component of Brand Equity in Digital Industries? M Hejazi Nia Available at SSRN 2864981, 2015 | 1 | 2015 |
| Butterfly effect in social network: Analysis of Churn under network influence M Hejazi Nia Available at SSRN 2864986, 2012 | 1 | 2012 |
| Federated Ensemble Learning: Increasing the Capacity of Label Private Recommendation Systems. M Hejazinia, D Huba, I Leontiadis, K Maeng, M Malek, L Melis, I Mironov, ... IEEE Data Eng. Bull. 46 (1), 145-157, 2023 | | 2023 |
| A Simple Deep Personalized Recommendation System SZ Pavlos Mitsoulis-Ntompos, Meisam Hejazinia RecTour workshop in Recsys 2019 conferance 2435 (http://ceur-ws.org/Vol-2435 …, 2019 | | 2019 |
| Accelerated learning from recommender systems using multi-armed bandit RD Meisam Hejazinia, Kyler Eastman, Shuqin Ye, Abbas Amirabadi https://arxiv.org/pdf/1908.06158.pdf, 2019 | | 2019 |
