Amir Bahmani - RankMe

14 papers A 2C 1Journal 7Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Membership Inference over Diffusion-models-based Synthetic Tabular Data. CoRR PeiNi Cheng, Amir Bahmani
2022	J	`jnl`	A method for intelligent allocation of diagnostic testing by leveraging data from commercial wearable devices: a case study on COVID-19. npj Digit. Medicine Md Mobashir Hasan Shandhi, Peter J. Cho, Ali R. Roghanizad, Karnika Singh, Will Ke Wang, Oana M. Enache, Amanda Stern, Rami Sbahi, Bilge Tatar, Sean Fiscus, Qi Xuan Khoo, Yvonne Kuo, Xiao Lu, Joseph Hsieh, Alena Kalodzitsa, Amir Bahmani, Arash Alavi, Utsab Ray, Michael P. Snyder, Geoffrey S. Ginsburg, Dana K. Pasquale, Christopher W. Woods, Ryan J. Shaw, Jessilyn Dunn
2021	J	`jnl`	Hummingbird: efficient performance prediction for executing genomic applications in the cloud. Bioinform. Amir Bahmani, Ziye Xing, Vandhana Krishnan, Utsab Ray, Frank Mueller, Amir Alavi, Philip S. Tsao, Michael P. Snyder, Cuiping Pan
2021	J	`jnl`	Swarm: A federated cloud framework for large-scale variant analysis. PLoS Comput. Biol. Amir Bahmani, Kyle Ferriter, Vandhana Krishnan, Arash Alavi, Amir Alavi, Philip S. Tsao, Michael P. Snyder, Cuiping Pan
2020	—	`conf`	VCFC: Structural and Semantic Compression and Indexing of Genetic Variant Data. BIBM Kyle Ferriter, Frank Mueller, Amir Bahmani, Cuiping Pan
2019	J	`jnl`	The human body at cellular resolution: the NIH Human Biomolecular Atlas Program. Nat. Michael P. Snyder, Shin Lin, Amanda Posgai, Mark Atkinson, Aviv Regev, Jennifer Rood, Orit Rozenblatt-Rosen, Leslie Gaffney, Anna Hupalowska, Rahul Satija, Nils Gehlenborg, Jay Shendure, Julia Laskin, Pehr Harbury, Nicholas A. Nystrom, Jonathan C. Silverstein, Ziv Bar-Joseph, Kun Zhang, Katy Börner, Yiing Lin, Richard Conroy, Dena Procaccini, Ananda L. Roy, Ajay Pillai, Marishka Brown, Zorina S. Galis, Long Cai, Cole Trapnell, Dana Jackson, Garry P. Nolan, William James Greenleaf, Sylvia K. Plevritis, Sara Ahadi, Stephanie A. Nevins, Hayan Lee, Christian Martijn Schuerch, Sarah Black, Vishal Gautham Venkataraaman, Ed Esplin, Aaron Horning, Amir Bahmani, Xin Sun, Sanjay Jain, James S. Hagood, Gloria Pryhuber, Peter V. Kharchenko, Bernd Bodenmiller, Todd Brusko, Michael Clare-Salzler, Harry Nick, Kevin Otto, Clive Wasserfall, Marda Jorgensen, Maigan Brusko, Sergio Maffioletti, Richard M. Caprioli, Jeffrey M. Spraggins, Danielle Gutierrez, Nathan Heath Patterson, Elizabeth K. Neumann, Raymond Harris, Mark P. de Caestecker, Agnes B. Fogo, Raf Van de Plas, Ken Lau, Guo-Cheng Yuan, Qian Zhu, Ruben Dries, Peng Yin, Sinem K. Saka, Jocelyn Y. Kishi, Yu Wang, Isabel Goldaracena, Dong Hye Ye, Kristin E. Burnum-Johnson, Paul D. Piehowski, Charles Ansong, Ying Zhu, Tushar Desai, Jay Mulye, Peter Chou, Monica Nagendran, Sarah A. Teichmann, Benedict Paten, Robert F. Murphy, Jian Ma, Vladimir Yu. Kiselev, Carl Kingsford, Allyson Ricarte, Maria Keays, Sushma Anand Akoju, Matthew Ruffalo, Margaret Vella, Chuck McCallum, Leonard E. Cross, Samuel H. Friedman, Randy W. Heiland, Bruce William Herr II, Paul Macklin, Ellen M. Quardokus, Lisel Record, James P. Sluka, Griffin M. Weber, Philip D. Blood, Alexander Ropelewski, William Shirey, Robin M. Scibek, Paula M. Mabee, W. Christopher Lenhardt, Kimberly Robasky, Stavros Michailidis, John C. Marioni, Andrew Butler, Tim Stuart, Eyal Fisher, Shila Ghazanfar, Gökcen Eraslan, Tommaso Biancalani, Eeshit D. Vaishnav, Pothur Srinivas, Aaron Pawlyk, Salvatore Sechi, Elizabeth L. Wilder, James Anderson
2018	A	`conf`	Chameleon: Online Clustering of MPI Program Traces. IPDPS Amir Bahmani, Frank Mueller
2017	J	`jnl`	Scalable communication event tracing via clustering. J. Parallel Distributed Comput. Amir Bahmani, Frank Mueller
2016	J	`jnl`	Efficient clustering for ultra-scale application tracing. J. Parallel Distributed Comput. Amir Bahmani, Frank Mueller
2016	—	`conf`	SparkScore: Leveraging Apache Spark for Distributed Genomic Inference. IPDPS Workshops Amir Bahmani, Alexander B. Sibley, Mahmoud Parsian, Kouros Owzar, Frank Mueller
2015	—	`conf`	ACURDION: An adaptive clustering-based algorithm for tracing large-scale MPI applications. IEEE BigData Amir Bahmani, Frank Mueller
2014	A	`conf`	Scalable performance analysis of exascale MPI programs through signature-based clustering algorithms. ICS Amir Bahmani, Frank Mueller
2012	—	`conf`	Ontology-Based Recommendation Algorithms for Personalized Education. DEXA (2) Amir Bahmani, Sahra Sedigh, Ali R. Hurson
2011	C	`conf`	Context-aware recommendation algorithms for the percepolis personalized education platform. FIE Amir Bahmani, Sahra Sedigh, Ali R. Hurson