MohamadAli Torkamani
MohamadAli Torkamani
University of Oregon, Cambia Health Solutions, Amazon Web Services
Verified email at amazon.com
Title
Cited by
Cited by
Year
Method and system for summarizing user activities of tasks into a single activity score using machine learning to predict probabilities of completeness of the tasks
L Tang, MA Torkamani, M Subedi, K Leafstrand
US Patent App. 15/688,758, 2019
482019
Convex Adversarial Collective Classification
MA Torkamani, D Lowd
ICML 2013, 2013
332013
Chaos theory and application in foreign exchange rates vs. IRR (Iranian Rial)
MA Torkamani, S Mahmoodzadeh, S Pourroostaei, C Lucas
International Journal of Human and Social Sciences 1 (3), 130-134, 2007
202007
On Robustness and Regularization of Structural Support Vector Machines
MA Torkamani, D Lowd
Proceedings of the Thirty-First International Conference on Machine Learning …, 2014
152014
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
52008
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
52006
Personalized Symptom Checker Using Medical Claims
HK Sabin Kafle, Penny Pan, Ali Torkamani, Stevi Halley, John Powers
Health Recommender Systems 2216, 13-17, 2018
4*2018
Estimating Correlation Dimension on Japanese Candlestick, Application to FOREX Time Series
S Mahmoodzadeh, J Shahrabi, MA Torkamani, JS Ghomi
32007
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
22019
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
2*2018
Robust Large Margin Approaches for Machine Learning in Adversarial Settings
MA Torkamani
University of Oregon, 2016
22016
Differential equations network
MA Torkamani, P Wallis
US Patent App. 16/160,933, 2019
12019
Engagement Scoring for Care-gap Intervention Optimization
HK Mohamad Ali Torkamani, Malhar Jhaveri, Jynelle Mellen, Michael Brown ...
Health Recommender Systems 2216, 53-56, 2018
1*2018
Adversarial Structured Output Prediction
MA Torkamani
https://www.cs.uoregon.edu/Reports/ORAL-201406-Torkamani.pdf, 2014
12014
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
2020
Differential Equation Networks
MA Torkamani, P Wallis
2018
Approximating Hypergeometric Functions for Neural Network
MA Torkamani, P Wallis
US Patent App. 62/572,110, 2017
2017
Method and system for summarizing user activities of tasks into a single activity score using machine learning to predict probabilities of completeness of the tasks
L Tang, MA Torkamani, K LEAFSTRAND, M SUBEDI
US Patent App. US15/688,758, 2017
2017
Applying Dropout Regularization to Support Vector Machines
MA Torkamani, D Lowd
NIPS Workshop on Perturbations, Optimization, and Statistics (POS-NIPS), 2014
2014
On Robustness and Regularization of Structural Support Vector Machines: Supplementary Material
MA Torkamani, D Lowd
2014
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Articles 1–20