| Large-scale machine-learning-based phenotyping significantly improves genomic discovery for optic nerve head morphology B Alipanahi, F Hormozdiari, B Behsaz, J Cosentino, ZR McCaw, ... The American Journal of Human Genetics 108 (7), 1217-1230, 2021 | 41 | 2021 |
| On minimum vertex cover of generalized Petersen graphs B Behsaz, P Hatami, ES Mahmoodian arXiv preprint arXiv:1008.3208, 2010 | 27 | 2010 |
| On minimum sum of radii and diameters clustering B Behsaz, MR Salavatipour Algorithmica 73 (1), 143-165, 2015 | 25 | 2015 |
| Inference of chronic obstructive pulmonary disease with deep learning on raw spirograms identifies new genetic loci and improves risk models J Cosentino, B Behsaz, B Alipanahi, ZR McCaw, D Hill, TH Schwantes-An, ... Nature Genetics 55 (5), 787-795, 2023 | 20 | 2023 |
| Approximation Algorithms for Min-Sum k-Clustering and Balanced k-Median B Behsaz, Z Friggstad, MR Salavatipour, R Sivakumar Algorithmica 81, 1006-1030, 2019 | 15* | 2019 |
| New approximation algorithms for the unsplittable capacitated facility location problem B Behsaz, MR Salavatipour, Z Svitkina Algorithmica 75, 53-83, 2016 | 15 | 2016 |
| Sos 2004: An attempt towards a multi-agent rescue team SA Amraii, B Behsaz, M Izadi, H Janzadeh, F Molazem, A Rahimi, ... Proc. 8th RoboCup Int’l Symposium, 2004 | 14 | 2004 |
| A new learning algorithm for the maxq hierarchical reinforcement learning method F Mirzazadeh, B Behsaz, H Beigy 2007 International Conference on Information and Communication Technology …, 2007 | 12 | 2007 |
| Comparison of global computing with grid computing B Behsaz, P Jaferian, MR Meybodi 2006 Seventh International Conference on Parallel and Distributed Computing …, 2006 | 8 | 2006 |
| Approximation Algorithms for Minimum-Load k-Facility Location S Ahmadian, B Behsaz, Z Friggstad, A Jorati, MR Salavatipour, C Swamy ACM Transactions on Algorithms (TALG) 14 (2), 1-29, 2018 | 6* | 2018 |
| Unsupervised representation learning improves genomic discovery for lung function and respiratory disease prediction T Yun, J Cosentino, B Behsaz, ZR McCaw, D Hill, R Luben, D Lai, J Bates, ... medRxiv, 2023.04. 28.23289285, 2023 | 4* | 2023 |
| NEFRL: A new neuro-fuzzy system for episodic reinforcement learning tasks B Behsaz, R Safabakhsh 2007 Frontiers in the Convergence of Bioscience and Information Technologies …, 2007 | 3 | 2007 |
| Predicting Cardiovascular Disease Risk using Photoplethysmography and Deep Learning WH Weng, S Baur, M Daswani, C Chen, L Harrell, S Kakarmath, M Jabara, ... arXiv preprint arXiv:2305.05648, 2023 | 2 | 2023 |
| Approximation algorithms for clustering problems B Behsaz | 2 | 2012 |
| Estimation of Probability Density Function by Dependence Tree Methods for Pattern Recognition Systems B Behsaz, M Rahmati Tech. Rep. U. Alberta, 2006 | 2 | 2006 |
| USING MACHINE TRANSLATION FOR QUERY REWRITE GENERATION M Ciaramita, A Andryeyev, B Behsaz, S Narayanan, N Gupta, N Houlsby, ... | 1 | 2016 |
| Minimizing transmit power consumption in multi-level WSNs for environmental monitoring B Behsaz, MHM MacGregor 2014 IEEE Wireless Communications and Networking Conference (WCNC), 3046-3051, 2014 | 1 | 2014 |
| Near optimal design of multi-level WSNs for environmental monitoring B Behsaz, MH MacGregor 38th Annual IEEE Conference on Local Computer Networks, 348-355, 2013 | 1 | 2013 |
| Transport-independent fairness B Behsaz, P Gburzynski, M MacGregor Computer Networks 53 (14), 2444-2457, 2009 | 1 | 2009 |
| Team Description of SOS 2005 B Behsaz, A Jalali, H Janzadeh, MR Jouyandeh, F Molazem, A Rahimi, ... Proceedings of RoboCup, 2005 | 1 | 2005 |
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