Следене
Ali Torkamani
Ali Torkamani
University of Oregon, Cambia Health Solutions, Amazon Web Services
Потвърден имейл адрес: amazon.com
Заглавие
Позовавания
Позовавания
Година
Convex Adversarial Collective Classification
MA Torkamani, D Lowd
ICML 2013, 2013
442013
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
252007
On Robustness and Regularization of Structural Support Vector Machines
MA Torkamani, D Lowd
Proceedings of the Thirty-First International Conference on Machine Learning …, 2014
212014
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
112023
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
82023
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
72019
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
62006
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 Correlation Dimension on Japanese Candlestick, Application to FOREX Time Series
S Mahmoodzadeh, J Shahrabi, MA Torkamani, JS Ghomi
52007
Robust Large Margin Approaches for Machine Learning in Adversarial Settings
MA Torkamani
University of Oregon, 2016
42016
Differential equations network
MA Torkamani, P Wallis
US Patent US20190114531A1, 2019
32019
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
22024
Firenze: Model evaluation using weak signals
B Soman, A Torkamani, MJ Morais, J Bickford, B Coskun
arXiv preprint arXiv:2207.00827, 2022
22022
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
22020
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
12022
Adversarial Structured Output Prediction
MA Torkamani
https://www.cs.uoregon.edu/Reports/ORAL-201406-Torkamani.pdf, 2014
12014
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
12006
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