Elham Azizi

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 12

Top Topics

Dagstuhl Castle

Gene Expression

Top Venues

J. Comput. Biol.

Publications

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)
Elham Azizi, Loutfouz Zaman
Automatic Bug Detection in Games using LSTM Networks. CoG (2023)
Achille Nazaret, Justin Hong, Elham Azizi, David M. Blei
Stable Differentiable Causal Discovery. CoRR (2023)
Elham Azizi, Loutfouz Zaman
Deep Learning Pet Identification Using Face and Body. Inf. 14 (5) (2023)
Elham Azizi, Loutfouz Zaman
Automatic Bug Detection in Games using LSTM Networks. CoRR (2023)
Yining Liu, Yinuo Jin, Elham Azizi, Andrew J. Blumberg
Cellstitch: 3D cellular anisotropic image segmentation via optimal transport. BMC Bioinform. 24 (1) (2023)
Md. Yousuf Hossain, Elham Azizi, Loutfouz Zaman
Predicting subscription renewal using binary classification in World of Warcraft. Entertain. Comput. 44 (2023)
Elham Azizi, Loutfouz Zaman
Data Analysis and Friendship Prediction for Twitch Streamers. GEM (2022)
Ramtin Babaeipour, Elham Azizi, Hassan Khotanlou
An Empirical Study on Detecting COVID-19 in Chest X-ray Images Using Deep Learning Based Methods. CoRR (2020)
Cassandra Burdziak, Elham Azizi, Sandhya Prabhakaran, Dana Pe'er
A Nonparametric Multi-view Model for Estimating Cell Type-Specific Gene Regulatory Networks. CoRR (2019)
Abdoulaye Baniré Diallo, Engelbert Mephu Nguifo, Wajdi Dhifli, Elham Azizi, Sandhya Prabhakaran, Wesley Tansey
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) (2019)
Sandhya Prabhakaran, Elham Azizi, Ambrose Carr, Dana Pe'er
Dirichlet Process Mixture Model for Correcting Technical Variation in Single-Cell Gene Expression Data. ICML (2016)
Elham Azizi, James E. Galagan, Edoardo M. Airoldi
Learning modular structures from network data and node variables. CoRR (2014)
Elham Azizi, Edoardo M. Airoldi, James E. Galagan
Learning Modular Structures from Network Data and Node Variables. ICML (2014)
James E. Galagan, Kyle J. Minch, Matthew Peterson, Anna Lyubetskaya, Elham Azizi, Linsday Sweet, Antonio Gomes, Tige R. Rustad, Gregory Dolganov, Irina Glotova, Thomas Abeel, Chris Mahwinney, Adam D. Kennedy, René Allard, William Brabant, Andrew Krueger, Suma Jaini, Brent Honda, Wen-Han Yu, Mark J. Hickey, Jeremy Zucker, Christopher Garay, Brian Weiner, Peter Sisk, Christian Stolte, Jessica K. Winkler, Yves Van de Peer, Paul Iazzetti, Diogo Camacho, Jonathan M. Dreyfuss, Yang Liu, Anca Dorhoi, Hans-Joachim Mollenkopf, Paul Drogaris, Julie Lamontagne, Yiyong Zhou, Julie Piquenot, Sang Tae Park, Sahadevan Raman, Stefan H. E. Kaufmann, Robert P. Mohney, Daniel Chelsky, D. Branch Moody, David R. Sherman, Gary K. Schoolnik
regulatory network and hypoxia. Nat. 499 (7457) (2013)