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Ameet Soni
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2020 – today
- 2020
- [c12]Todd W. Neller, Stephen Keeley, Michael Guerzhoy, Wolfgang Hönig, Jiaoyang Li, Sven Koenig, Ameet Soni, Krista Thomason, Lisa Zhang, Bibin Sebastian, Cinjon Resnick, Avital Oliver, Surya Bhupatiraju, Kumar Krishna Agrawal, James Allingham, Sejong Yoon, Jonathan Chen, Tom Larsen, Marion Neumann, Narges Norouzi, Ryan Hausen, Matthew Evett:
Model AI Assignments 2020. AAAI 2020: 13509-13511
2010 – 2019
- 2017
- [c11]Devendra Singh Dhami, Ameet Soni, David Page, Sriraam Natarajan:
Identifying Parkinson's Patients: A Functional Gradient Boosting Approach. AIME 2017: 332-337 - [c10]Aly Valliani, Ameet Soni:
Deep Residual Nets for Improved Alzheimer's Diagnosis. BCB 2017: 615 - 2016
- [c9]Ameet Soni, Dileep Viswanathan, Niranjan Pachaiyappan, Sriraam Natarajan:
A Comparison of Weak Supervision methods for Knowledge Base Construction. AKBC@NAACL-HLT 2016: 97-102 - [c8]Sriraam Natarajan, Ameet Soni, Anurag Wazalwar, Dileep Viswanathan, Kristian Kersting:
Deep Distant Supervision: Learning Statistical Relational Models for Weak Supervision in Natural Language Extraction. Solving Large Scale Learning Tasks 2016: 331-345 - [c7]Ameet Soni, Dileep Viswanathan, Jude W. Shavlik, Sriraam Natarajan:
Learning Relational Dependency Networks for Relation Extraction. ILP 2016: 81-93 - [i2]Dileep Viswanathan, Ameet Soni, Jude W. Shavlik, Sriraam Natarajan:
Learning Relational Dependency Networks for Relation Extraction. CoRR abs/1607.00424 (2016) - 2015
- [c6]Raehoon Jeong, Ameet Soni:
A comprehensive analysis of classification algorithms for cancer prediction from gene expression. BCB 2015: 525-526 - [i1]Dileep Viswanathan, Anurag Wazalwar, Sriraam Natarajan, Ameet Soni, Jude W. Shavlik:
TAC KBP 2015 : English Slot Filling Track Relational Learning with Expert Advice. TAC 2015 - 2014
- [c5]Chris S. Magnano, Ameet Soni, Sriraam Natarajan, Gautam Kunapuli:
A graphical model approach to ATLAS-free mining of MRI images. SDM 2014: 974-982 - [c4]Tia Newhall, Lisa Meeden, Andrew Danner, Ameet Soni, Frances Ruiz, Richard Wicentowski:
A support program for introductory CS courses that improves student performance and retains students from underrepresented groups. SIGCSE 2014: 433-438 - 2012
- [j3]Ameet Soni, Jude W. Shavlik:
Probabilistic Ensembles for Improved Inference in protein-Structure Determination. J. Bioinform. Comput. Biol. 10(1) (2012) - 2011
- [c3]Ameet Soni, Jude W. Shavlik:
Probabilistic ensembles for improved inference in protein-structure determination. BCB 2011: 264-273 - 2010
- [c2]Ameet Soni, Craig A. Bingman, Jude W. Shavlik:
Guiding belief propagation using domain knowledge for protein-structure determination. BCB 2010: 285-294
2000 – 2009
- 2009
- [j2]Frank DiMaio, Ameet Soni, George N. Phillips, Jude W. Shavlik:
Spherical-harmonic decomposition for molecular recognition in electron-density maps. Int. J. Data Min. Bioinform. 3(2): 205-227 (2009) - 2007
- [j1]Frank DiMaio, Dmitry A. Kondrashov, Eduard Bitto, Ameet Soni, Craig A. Bingman, George N. Phillips Jr., Jude W. Shavlik:
Creating protein models from electron-density maps using particle-filtering methods. Bioinform. 23(21): 2851-2858 (2007) - [c1]Frank DiMaio, Ameet Soni, George N. Phillips, Jude W. Shavlik:
Improved Methods for Template-Matching in Electron-Density Maps Using Spherical Harmonics. BIBM 2007: 258-265
Coauthor Index
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