Babak Alipanahi

Publication Activity (10 Years)

Years Active: 2006-2022
Publications (10 Years): 4

Top Topics

Machine Learning

Nuclear Magnetic Resonance

Top Venues

J. Mach. Learn. Res.

J. Comput. Biol.

Publications

Alexander D'Amour, Katherine A. Heller, Dan Moldovan, Ben Adlam, Babak Alipanahi, Alex Beutel, Christina Chen, Jonathan Deaton, Jacob Eisenstein, Matthew D. Hoffman, Farhad Hormozdiari, Neil Houlsby, Shaobo Hou, Ghassen Jerfel, Alan Karthikesalingam, Mario Lucic, Yi-An Ma, Cory Y. McLean, Diana Mincu, Akinori Mitani, Andrea Montanari, Zachary Nado, Vivek Natarajan, Christopher Nielson, Thomas F. Osborne, Rajiv Raman, Kim Ramasamy, Rory Sayres, Jessica Schrouff, Martin Seneviratne, Shannon Sequeira, Harini Suresh, Victor Veitch, Max Vladymyrov, Xuezhi Wang, Kellie Webster, Steve Yadlowsky, Taedong Yun, Xiaohua Zhai, D. Sculley
Underspecification Presents Challenges for Credibility in Modern Machine Learning. J. Mach. Learn. Res. 23 (2022)
Alexander D'Amour, Katherine A. Heller, Dan Moldovan, Ben Adlam, Babak Alipanahi, Alex Beutel, Christina Chen, Jonathan Deaton, Jacob Eisenstein, Matthew D. Hoffman, Farhad Hormozdiari, Neil Houlsby, Shaobo Hou, Ghassen Jerfel, Alan Karthikesalingam, Mario Lucic, Yi-An Ma, Cory Y. McLean, Diana Mincu, Akinori Mitani, Andrea Montanari, Zachary Nado, Vivek Natarajan, Christopher Nielson, Thomas F. Osborne, Rajiv Raman, Kim Ramasamy, Rory Sayres, Jessica Schrouff, Martin Seneviratne, Shannon Sequeira, Harini Suresh, Victor Veitch, Max Vladymyrov, Xuezhi Wang, Kellie Webster, Steve Yadlowsky, Taedong Yun, Xiaohua Zhai, D. Sculley
Underspecification Presents Challenges for Credibility in Modern Machine Learning. CoRR (2020)
Michael K. K. Leung, Andrew Delong, Babak Alipanahi, Brendan J. Frey
Machine Learning in Genomic Medicine: A Review of Computational Problems and Data Sets. Proc. IEEE 104 (1) (2016)
Michael Wainberg, Babak Alipanahi, Brendan J. Frey
Are Random Forests Truly the Best Classifiers? J. Mach. Learn. Res. 17 (2016)
Babak Alipanahi, Nathan Krislock, Ali Ghodsi, Henry Wolkowicz, Logan Donaldson, Ming Li
Determining Protein Structures from NOESY Distance Constraints by Semidefinite Programming. J. Comput. Biol. 20 (4) (2013)
Xuefeng Cui, Shuai Cheng Li, Dongbo Bu, Babak Alipanahi, Ming Li
Protein Structure Idealization: How accurately is it possible to model protein structures with dihedral angles? Algorithms Mol. Biol. 8 (2013)
Babak Alipanahi, Nathan Krislock, Ali Ghodsi, Henry Wolkowicz, Logan Donaldson, Ming Li
Protein Structure by Semidefinite Facial Reduction. RECOMB (2012)
Babak Alipanahi, Xin Gao, Emre Karakoç, Shuai Cheng Li, Frank J. Balbach, Guangyu Feng, Logan Donaldson, Ming Li
Error Tolerant NMR Backbone Resonance Assignment and Automated Structure Generation. J. Bioinform. Comput. Biol. 9 (1) (2011)
Babak Alipanahi, Ali Ghodsi
Guided Locally Linear Embedding. Pattern Recognit. Lett. 32 (7) (2011)
Yuzhong Zhao, Babak Alipanahi, Shuai Cheng Li, Ming Li
Protein Secondary Structure Prediction Using NMR Chemical Shift Data. J. Bioinform. Comput. Biol. 8 (5) (2010)
Babak Alipanahi, Xin Gao, Emre Karakoç, Logan Donaldson, Ming Li
PICKY: a novel SVD-based NMR spectra peak picking method. Bioinform. 25 (12) (2009)
Babak Alipanahi, Michael Biggs, Ali Ghodsi
Distance Metric Learning Versus Fisher Discriminant Analysis. AAAI (2008)
Amir R. Alizad, Babak Alipanahi, Mohsen Shiva, Seyed Hamidreza Jamali, Said Nader-Esfahani
Channel estimation for time-hopping pulse position modulation ultra-wideband communication systems. IET Commun. 2 (8) (2008)
Amir R. Alizad, Babak Alipanahi, Akbar Ghasemi, Mohsen Shiva, Seyed Hamidreza Jamali, Said Nader-Esfahani
A Blind Channel Estimation Technique for TH-PPM UWB Systems. ICC (2006)