Deep learning algorithm for autonomous driving using googlenet M Al-Qizwini, I Barjasteh, H Al-Qassab, H Radha 2017 IEEE intelligent vehicles symposium (IV), 89-96, 2017 | 312 | 2017 |
Cold-start recommendation with provable Guarantees: A decoupled approach I Barjasteh, R Forsati, D Ross, AH Esfahanian, H Radha IEEE Transactions on Knowledge and Data Engineering 28 (6), 1462-1474, 2016 | 102 | 2016 |
Cold-start item and user recommendation with decoupled completion and transduction I Barjasteh, R Forsati, F Masrour, AH Esfahanian, H Radha Proceedings of the 9th ACM Conference on Recommender Systems, 91-98, 2015 | 83 | 2015 |
Pushtrust: An efficient recommendation algorithm by leveraging trust and distrust relations R Forsati, I Barjasteh, F Masrour, AH Esfahanian, H Radha Proceedings of the 9th ACM Conference on Recommender Systems, 51-58, 2015 | 55 | 2015 |
Network completion with node similarity: A matrix completion approach with provable guarantees F Masrour, I Barjesteh, R Forsati, AH Esfahanian, H Radha Proceedings of the 2015 IEEE/ACM International Conference on Advances in …, 2015 | 34 | 2015 |
Rewiring dynamical networks with prescribed degree distribution for enhancing synchronizability M Dadashi, I Barjasteh, M Jalili Chaos: An Interdisciplinary Journal of Nonlinear Science 20 (4), 2010 | 28 | 2010 |
Matrix completion with side Information for effective recommendation I Barjasteh Michigan State University, 2016 | 15 | 2016 |
Transitivity matrix of social network graphs M Aghagolzadeh, I Barjasteh, H Radha 2012 IEEE Statistical Signal Processing Workshop (SSP), 145-148, 2012 | 15 | 2012 |
Trending videos: Measurement and analysis I Barjasteh, Y Liu, H Radha arXiv preprint arXiv:1409.7733, 2014 | 13 | 2014 |
The entropy of attention and popularity in YouTube videos JS Morgan, I Barjasteh, C Lampe, H Radha arXiv preprint arXiv:1412.1185, 2014 | 9 | 2014 |
Network completion by leveraging similarity of nodes R Forsati, I Barjasteh, D Ross, AH Esfahanian, H Radha Social Network Analysis and Mining 6, 1-22, 2016 | 8 | 2016 |
Semi-supervised collaborative ranking with push at top I Barjasteh, R Forsati, AH Esfahanian, H Radha arXiv preprint arXiv:1511.05266, 2015 | 4 | 2015 |
Semi-supervised collaborative ranking with push at the top R Forsati, I Barjasteh, AH Esfahanian Proceedings of the 2017 IEEE/ACM International Conference on Advances in …, 2017 | 3 | 2017 |
Food knowledge graph for a health tracking system H Salehian, P Sharma, K Frazier, SR Yerva, I Barjasteh, L Martin US Patent 11,887,719, 2024 | 2 | 2024 |
Learning the Implicit Preference of Users for Effective Recommendation R Forsati, I Barjasteh, D Ross, AH Esfahanian Proceedings of the 2017 IEEE/ACM International Conference on Advances in …, 2017 | 2 | 2017 |
Food knowledge graph for a health tracking system H Salehian, P Sharma, K Frazier, SR Yerva, I Barjasteh, L Martin US Patent App. 18/423,603, 2024 | | 2024 |
Deep Multi-Modal Pairwise Ranking Model For Crowdsourced Food Data SR Yerva, I Barjasteh, P Howell, C Lee, H Salehian US Patent App. 18/412,034, 2024 | | 2024 |
Deep multi-modal pairwise ranking model for crowdsourced food data SR Yerva, I Barjasteh, P Howell, C Lee, H Salehian US Patent 11,874,879, 2024 | | 2024 |
Deep multi-modal pairwise ranking model for crowdsourced food data SR Yerva, I Barjasteh, P Howell, C Lee, H Salehian US Patent 11,106,742, 2021 | | 2021 |
A deep multi-modal pairwise ranking model for user generated food data H Salehian, S Yerval, I Barjasteh, P Howell, C Lee 2018 IEEE/ACM International Conference on Advances in Social Networks …, 2018 | | 2018 |