| Convex Adversarial Collective Classification MA Torkamani, D Lowd ICML 2013, 2013 | 44 | 2013 |
| Chaos theory and application in foreign exchange rates vs. IRR (Iranian Rial) MA Torkamani, S Mahmoodzadeh, S Pourroostaei, C Lucas International Journal of Economics and Management Engineering 1 (6), 265-269, 2007 | 25 | 2007 |
| On Robustness and Regularization of Structural Support Vector Machines MA Torkamani, D Lowd Proceedings of the Thirty-First International Conference on Machine Learning …, 2014 | 21 | 2014 |
| Lazygnn: Large-scale graph neural networks via lazy propagation R Xue, H Han, MA Torkamani, J Pei, X Liu International Conference on Machine Learning, 38926-38937, 2023 | 12 | 2023 |
| Alternately optimized graph neural networks H Han, X Liu, H Mao, MA Torkamani, F Shi, V Lee, J Tang International Conference on Machine Learning, 12411-12429, 2023 | 8 | 2023 |
| Personalized Symptom Checker Using Medical Claims HK Sabin Kafle, Penny Pan, Ali Torkamani, Stevi Halley, John Powers Health Recommender Systems 2216, 13-17, 2018 | 8* | 2018 |
| Learning Compact Neural Networks Using Ordinary Differential Equations as Activation Functions MA Torkamani, P Wallis, S Shankar, A Rooshenas ICML Workshop on On-Device ML and Compact Deep Neural Networks (ODML-CDNNR2019), 2019 | 7 | 2019 |
| Estimating strange attractor's dimension in very noisy data, application to FOREX time series MA Torkamani, J Asgari, C Lucas 2006 2nd International Conference on Information & Communication …, 2006 | 6 | 2006 |
| Evaluate projects by using multiple criteria decision making techniques S Mahmoodzadeh, M Pariazar, MS Zaeri, MA Torkamani 2007 IEEE International Conference on Industrial Engineering and Engineering …, 2008 | 5 | 2008 |
| Estimating Correlation Dimension on Japanese Candlestick, Application to FOREX Time Series S Mahmoodzadeh, J Shahrabi, MA Torkamani, JS Ghomi | 5 | 2007 |
| Robust Large Margin Approaches for Machine Learning in Adversarial Settings MA Torkamani University of Oregon, 2016 | 4 | 2016 |
| Differential equations network MA Torkamani, P Wallis US Patent US20190114531A1, 2019 | 3 | 2019 |
| A Hybrid Health Journey Recommender System Using Electronic Medical Records HK Soheil Jamshidi, Mohamad Ali Torkamani, Jynelle Mellen, Malhar Jhaveri ... Health Recommender Systems 2216, 57-62, 2018 | 3* | 2018 |
| Towards Label Position Bias in Graph Neural Networks H Han, X Liu, F Shi, MA Torkamani, C Aggarwal, J Tang Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| Firenze: Model evaluation using weak signals B Soman, A Torkamani, MJ Morais, J Bickford, B Coskun arXiv preprint arXiv:2207.00827, 2022 | 2 | 2022 |
| Differential Equation Units: Learning Functional Forms of Activation Functions from Data MA Torkamani, S Shankar, A Rooshenas, P Wallis 34th AAAI Conference on AI (AAAI 2020), 2020 | 2 | 2020 |
| Engagement Scoring for Care-gap Intervention Optimization HK Mohamad Ali Torkamani, Malhar Jhaveri, Jynelle Mellen, Michael Brown ... Health Recommender Systems 2216, 53-56, 2018 | 2* | 2018 |
| Graph Neural Networks as Multi-View Learning H Han, X Liu, H Mao, MA Torkamani, F Shi, V Lee, J Tang | 1 | 2022 |
| Adversarial Structured Output Prediction MA Torkamani https://www.cs.uoregon.edu/Reports/ORAL-201406-Torkamani.pdf, 2014 | 1 | 2014 |
| RECOGNITION OF PERSIAN HANDWRITTEN DIGIT USING FUZZY LOGIC AA MAHABADI, AAM KAZEMIAN, MA TORKAMANI THE CSI JOURNAL ON COMPUTER SCIENCE AND ENGINEERING 4 (1), 19-25, 2006 | 1 | 2006 |
Daniel LowdAssociate Professor of Computer Science, University of OregonDirección de correo verificada de cs.uoregon.edu
