| Hashing with binary autoencoders RR Miguel Á. Carreira-Perpiñán arXiv preprint arXiv:1501.00756, 2015 | 210* | 2015 |
| Optimizing affinity-based binary hashing using auxiliary coordinates R Raziperchikolaei, MA Carreira-Perpinán Advances in Neural Information Processing Systems 29, 2016 | 23 | 2016 |
| An ensemble diversity approach to supervised binary hashing MA Carreira-Perpinán, R Raziperchikolaei Advances in Neural Information Processing Systems, 757-765, 2016 | 23 | 2016 |
| A new method for shot classification in soccer sports video based on SVM classifier A Bagheri-Khaligh, R Raziperchikolaei, ME Moghaddam 2012 IEEE Southwest Symposium on Image Analysis and Interpretation, 109-112, 2012 | 20 | 2012 |
| Shared neural item representations for completely cold start problem R Raziperchikolaei, G Liang, Y Chung Proceedings of the 15th ACM Conference on Recommender Systems, 422-431, 2021 | 14 | 2021 |
| Learning independent, diverse binary hash functions: Pruning and locality R Raziperchikolaei, MA Carreira-Perpinán 2016 IEEE 16th International Conference on Data Mining (ICDM), 1173-1178, 2016 | 7 | 2016 |
| Learning hashing with affinity-based loss functions using auxiliary coordinates R Raziperchikolaei, MÁ Carreira-Perpiñán arXiv preprint arXiv:1501.05352, 2015 | 7 | 2015 |
| Simultaneous learning of the inputs and parameters in neural collaborative filtering R Raziperchikolaei, Y Chung arXiv preprint arXiv:2203.07463, 2022 | 4 | 2022 |
| A block coordinate descent proximal method for simultaneous filtering and parameter estimation R Raziperchikolaei, H Bhat International Conference on Machine Learning, 5380-5388, 2019 | 4 | 2019 |
| Simultaneous learning of inputs and parameters in machine learning-based recommender systems R Raziperchikolaei US Patent App. 17/141,925, 2022 | 3 | 2022 |
| Neural representations in hybrid recommender systems: Prediction versus regularization R Raziperchikolaei, T Li, Y Chung Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 3 | 2021 |
| Visual tracking using D2-clustering and particle filter R Raziperchikolaei, M Jamzad 2012 IEEE International Symposium on Signal Processing and Information …, 2012 | 3 | 2012 |
| One-class recommendation systems with the hinge pairwise distance loss and orthogonal representations R Raziperchikolaei, Y Chung arXiv preprint arXiv:2208.14594, 2022 | 2 | 2022 |
| Learning supervised binary hashing: Optimization vs diversity R Raziperchikolaei, MA Carreira-Perpinán 2017 IEEE International Conference on Image Processing (ICIP), 3695-3699, 2017 | 2 | 2017 |
| Learning circulant support vector machines for fast image search R Raziperchikolaei, MA Carreira-Perpinán 2017 IEEE International Conference on Image Processing (ICIP), 385-389, 2017 | 1 | 2017 |
| One-class recommender system with hinge pairwise distance loss and orthogonal representations R Raziperchikolaei US Patent App. 17/975,473, 2024 | | 2024 |
| Recommender system and method using shared neural item representations for cold-start recommendations R Raziperchikolaei US Patent App. 17/556,954, 2023 | | 2023 |
| A Recommendation System Framework to Generalize AutoRec and Neural Collaborative Filtering R Raziperchikolaei, YJ Chung 2022 IEEE International Conference on Data Mining Workshops (ICDMW), 1162-1167, 2022 | | 2022 |
| System, method, and computer program for recommending items using a direct neural network structure R Raziperchikolaei US Patent 11,494,644, 2022 | | 2022 |
| Estimating Vector Fields from Noisy Time Series HS Bhat, M Reeves, R Raziperchikolaei 2020 54th Asilomar Conference on Signals, Systems, and Computers, 599-606, 2020 | | 2020 |
Miguel Á. Carreira-PerpiñánProfessor of Computer Science, University of California, Merced在 ucmerced.edu 的电子邮件经过验证
