Elham Azizi

According to our database, Elham Azizi authored at least 13 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Cellstitch: 3D cellular anisotropic image segmentation via optimal transport.

Yining Liu, Yinuo Jin, Elham Azizi, Andrew J. Blumberg

BMC Bioinform., December, 2023

Deep Learning Pet Identification Using Face and Body.

Elham Azizi, Loutfouz Zaman

Inf., May, 2023

Predicting subscription renewal using binary classification in World of Warcraft.

Md. Yousuf Hossain, Elham Azizi, Loutfouz Zaman

Entertain. Comput., 2023

Stable Differentiable Causal Discovery.

Achille Nazaret, Justin Hong, Elham Azizi, David M. Blei

CoRR, 2023

Automatic Bug Detection in Games using LSTM Networks.

Elham Azizi, Loutfouz Zaman

Proceedings of the IEEE Conference on Games, 2023

2022

Data Analysis and Friendship Prediction for Twitch Streamers.

Elham Azizi, Loutfouz Zaman

Proceedings of the IEEE Games, Entertainment, Media Conference, 2022

2020

An Empirical Study on Detecting COVID-19 in Chest X-ray Images Using Deep Learning Based Methods.

Ramtin Babaeipour, Elham Azizi, Hassan Khotanlou

CoRR, 2020

2019

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.

Abdoulaye Baniré Diallo, Engelbert Mephu Nguifo, Wajdi Dhifli, Elham Azizi, Sandhya Prabhakaran, Wesley Tansey

J. Comput. Biol., 2019

A Nonparametric Multi-view Model for Estimating Cell Type-Specific Gene Regulatory Networks.

Cassandra Burdziak, Elham Azizi, Sandhya Prabhakaran, Dana Pe'er

CoRR, 2019

2016

Dirichlet Process Mixture Model for Correcting Technical Variation in Single-Cell Gene Expression Data.

Sandhya Prabhakaran, Elham Azizi, Ambrose J. Carr, Dana Pe'er

Proceedings of the 33nd International Conference on Machine Learning, 2016

2014

Modeling gene regulatory networks through data integration

Elham Azizi

PhD thesis, 2014

Learning Modular Structures from Network Data and Node Variables.

Elham Azizi, Edoardo M. Airoldi, James E. Galagan

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

The <i>Mycobacterium tuberculosis</i> regulatory network and hypoxia.

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

Nat., 2013