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Elham Azizi
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2020 – today
- 2024
- [c6]Achille Nazaret, Justin Hong, Elham Azizi, David M. Blei:
Stable Differentiable Causal Discovery. ICML 2024 - [c5]Cameron Park, Shouvik Mani, Nicolas Beltran-Velez, Katie Maurer, Satyen Gohil, Shuqiang Li, Teddy Huang, David A. Knowles, Catherine J. Wu, Elham Azizi:
DIISCO: A Bayesian Framework for Inferring Dynamic Intercellular Interactions from Time-Series Single-Cell Data. RECOMB 2024: 390-395 - 2023
- [j5]Yining Liu, Yinuo Jin, Elham Azizi, Andrew J. Blumberg:
Cellstitch: 3D cellular anisotropic image segmentation via optimal transport. BMC Bioinform. 24(1): 480 (2023) - [j4]Md. Yousuf Hossain, Elham Azizi, Loutfouz Zaman:
Predicting subscription renewal using binary classification in World of Warcraft. Entertain. Comput. 44: 100522 (2023) - [j3]Elham Azizi
, Loutfouz Zaman
Deep Learning Pet Identification Using Face and Body. Inf. 14(5): 278 (2023) - [c4]Elham Azizi, Loutfouz Zaman:
Automatic Bug Detection in Games using LSTM Networks. CoG 2023: 1-4 - [i5]Achille Nazaret, Justin Hong, Elham Azizi
Stable Differentiable Causal Discovery. CoRR abs/2311.10263 (2023) - [i4]Elham Azizi, Loutfouz Zaman:
Automatic Bug Detection in Games using LSTM Networks. CoRR abs/2312.08418 (2023) - 2022
- [c3]Elham Azizi, Loutfouz Zaman:
Data Analysis and Friendship Prediction for Twitch Streamers. GEM 2022: 1-6 - 2020
- [i3]Ramtin Babaeipour, Elham Azizi, Hassan Khotanlou:
An Empirical Study on Detecting COVID-19 in Chest X-ray Images Using Deep Learning Based Methods. CoRR abs/2010.04936 (2020)
2010 – 2019
- 2019
- [j2]Abdoulaye Baniré Diallo, Engelbert Mephu Nguifo, Wajdi Dhifli
Selected Papers from the Workshop on Computational Biology: Joint with the International Joint Conference on Artificial Intelligence and the International Conference on Machine Learning, 2018. J. Comput. Biol. 26(6): 507-508 (2019) - [i2]Cassandra Burdziak, Elham Azizi, Sandhya Prabhakaran, Dana Pe'er:
A Nonparametric Multi-view Model for Estimating Cell Type-Specific Gene Regulatory Networks. CoRR abs/1902.08138 (2019) - 2016
- [c2]Sandhya Prabhakaran, Elham Azizi, Ambrose J. Carr, Dana Pe'er:
Dirichlet Process Mixture Model for Correcting Technical Variation in Single-Cell Gene Expression Data. ICML 2016: 1070-1079 - 2014
- [b1]Elham Azizi:
Modeling gene regulatory networks through data integration. Boston University, USA, 2014 - [c1]Elham Azizi, Edoardo M. Airoldi, James E. Galagan:
Learning Modular Structures from Network Data and Node Variables. ICML 2014: 1440-1448 - [i1]Elham Azizi, James E. Galagan, Edoardo M. Airoldi:
Learning modular structures from network data and node variables. CoRR abs/1405.2566 (2014) - 2013
- [j1]James E. Galagan
The Mycobacterium tuberculosis regulatory network and hypoxia. Nat. 499(7457): 178-183 (2013)
Coauthor Index
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