| The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models Nature biotechnology 28 (8), 827-838, 2010 | 847 | 2010 |
| Large margin transductive transfer learning B Quanz, J Huan Proceedings of the 18th ACM conference on Information and knowledge …, 2009 | 164 | 2009 |
| Knowledge transfer with low-quality data: A feature extraction issue B Quanz, J Huan, M Mishra IEEE Transactions on Knowledge and Data Engineering 24 (10), 1789-1802, 2012 | 93 | 2012 |
| Data delivery and validation in hybrid cloud environments AA Deshpande, S Gupta, A Hampapur, PG Kowlani, X Liu, CS Milite, ... US Patent 10,373,101, 2019 | 65 | 2019 |
| Temporal latent auto-encoder: A method for probabilistic multivariate time series forecasting N Nguyen, B Quanz Proceedings of the AAAI conference on artificial intelligence 35 (10), 9117-9125, 2021 | 57 | 2021 |
| The MAQC-II Project: A comprehensive study of common practices for the development and validation of microarray-based predictive models. L Shi, G Campbell, W Jones, F Campagne, Z Wen, S Walker, Z Su, T Chu, ... Nature biotechnology 28 (8), 827-838, 2010 | 48 | 2010 |
| Practical application improvement to Quantum SVM: theory to practice JE Park, B Quanz, S Wood, H Higgins, R Harishankar arXiv preprint arXiv:2012.07725, 2020 | 35 | 2020 |
| A Local Algorithm for Product Return Prediction in E-Commerce. Y Zhu, J Li, J He, BL Quanz, AA Deshpande IJCAI, 3718-3724, 2018 | 22 | 2018 |
| Machine learning based co-creative design framework B Quanz, W Sun, A Deshpande, D Shah, J Park arXiv preprint arXiv:2001.08791, 2020 | 18 | 2020 |
| Aligned graph classification with regularized logistic regression B Quanz, J Huan Proceedings of the 2009 SIAM International Conference on Data Mining, 353-364, 2009 | 16 | 2009 |
| Determining object safety using a multiagent, collaborative system B Quanz, C Tsatsoulis 2008 Second IEEE International Conference on Self-Adaptive and Self …, 2008 | 16 | 2008 |
| System and method for setting inventory thresholds for offering and fulfillment across retail supply networks AA Deshpande, A Hampapur, A Koc, Y Li, X Liu, BL Quanz, D Xing US Patent 10,832,194, 2020 | 14 | 2020 |
| Predicting deep neural network generalization with perturbation response curves Y Schiff, B Quanz, P Das, PY Chen Advances in Neural Information Processing Systems 34, 21176-21188, 2021 | 11 | 2021 |
| Modeling inventory performance for omni-channel fulfillment in retail supply networks A Deshpande, S Gupta, A Hampapur, A King, A Koc, Y Li, X Liu, C Milite, ... US Patent App. 15/154,285, 2017 | 11 | 2017 |
| Regularization and feature selection for networked features H Fei, B Quanz, J Huan Proceedings of the 19th ACM international conference on Information and …, 2010 | 11 | 2010 |
| Biological pathways as features for microarray data classification B Quanz, M Park, J Huan Proceedings of the 2nd international workshop on Data and text mining in …, 2008 | 11 | 2008 |
| Tracking business performance impact of optimized sourcing algorithms SK Chen, AA Deshpande, S Gupta, A Hampapur, A Koc, Y Li, D Lin, X Liu, ... US Patent 10,650,438, 2020 | 9 | 2020 |
| Order optimization in hybrid cloud networks AA Deshpande, S Gupta, A Hampapur, A Koc, Y Li, X Liu, C Milite, ... US Patent 10,643,160, 2020 | 9 | 2020 |
| Toward a neuro-inspired creative decoder P Das, B Quanz, PY Chen, J Ahn, D Shah arXiv preprint arXiv:1902.02399, 2019 | 9 | 2019 |
| System, method and computer program product for order fulfillment in retail supply networks AA Deshpande, S Gupta, A Hampapur, AJ King, A Koc, Y Li, X Liu, ... US Patent 10,902,373, 2021 | 8 | 2021 |
Ajay DeshpandeGoogle, Past - IBM Research, MITVerified email at alum.mit.edu
