Alok Choudhary

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Ankit AgrawalResearch Professor, Northwestern UniversityVerificeret mail på eecs.northwestern.edu
Wei-keng LiaoNorthwestern UniversityVerificeret mail på eecs.northwestern.edu
Mahmut KandemirPennsylvania State UniversityVerificeret mail på psu.edu
Gokhan MemikProfessor, Northwestern UniversityVerificeret mail på eecs.northwestern.edu
Rajeev ThakurDeputy Division Director, Argonne Distinguished Fellow, Argonne National LaboratoryVerificeret mail på anl.gov
J. "Ram" RamanujamLouisiana State University: Professor, ECE Div; Director CCT-Center for Comp. & Tech.Verificeret mail på lsu.edu
Geoffrey FoxProfessor of Computer Science, University of Virginia, Biocomplexity InstituteVerificeret mail på virginia.edu
Rajesh BordawekarIBM T. J. Watson Research CenterVerificeret mail på us.ibm.com
Joseph ZambrenoProfessor, Iowa State UniversityVerificeret mail på iastate.edu
Zhengzhang ChenSenior Researcher, NEC Laboratories AmericaVerificeret mail på nec-labs.com
Ramanathan NarayananGoldman Sachs, Northwestern UniversityVerificeret mail på eecs.northwestern.edu
Robert B. RossSenior Computer Scientist, Mathematics and Computer Science Division, Argonne National LaboratoryVerificeret mail på mcs.anl.gov
Diana PalsetiaNorthwestern UniversityVerificeret mail på u.northwestern.edu
Yu ChengThe Chinese University of Hong KongVerificeret mail på cse.cuhk.edu.hk
Chris WolvertonProfessor of Materials Science and Eng., Northwestern UniversityVerificeret mail på northwestern.edu
Dipendra JhaPhD in Computer Science, Northwestern UniversityVerificeret mail på u.northwestern.edu
Mostofa PatwaryDirector, Applied Deep Learning Research, NVIDIAVerificeret mail på nvidia.com
Rosanne LiuML Collective; Google DeepMindVerificeret mail på mlcollective.org
Reda Al-BahraniIndependent ResearcherVerificeret mail på u.northwestern.edu
Yusheng Yves XieBaidu ResearchVerificeret mail på baidu.com

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Alok Choudhary

Professor Northwestern University

Verificeret mail på eecs.northwestern.edu

Data Science AI/ML Supercomputing business intelligence marketing


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
A general-purpose machine learning framework for predicting properties of inorganic materials L Ward, A Agrawal, A Choudhary, C Wolverton npj Computational Materials 2 (1), 1-7, 2016	1340	2016
Perspective: Materials informatics and big data: Realization of the “fourth paradigm” of science in materials science A Agrawal, A Choudhary Apl Materials 4 (5), 2016	1205	2016
Deep convolutional neural networks with transfer learning for computer vision-based data-driven pavement distress detection K Gopalakrishnan, SK Khaitan, A Choudhary, A Agrawal Construction and building materials 157, 322-330, 2017	1076	2017
The international exascale software project roadmap J Dongarra, P Beckman, T Moore, P Aerts, G Aloisio, JC Andre, D Barkai, ... The international journal of high performance computing applications 25 (1 …, 2011	958	2011
A two-phase algorithm for fast discovery of high utility itemsets Y Liu, W Liao, A Choudhary Advances in Knowledge Discovery and Data Mining: 9th Pacific-Asia Conference …, 2005	875	2005
Combinatorial screening for new materials in unconstrained composition space with machine learning B Meredig, A Agrawal, S Kirklin, JE Saal, JW Doak, A Thompson, K Zhang, ... Physical Review B 89 (9), 094104, 2014	787	2014
Terascale direct numerical simulations of turbulent combustion using S3D JH Chen, A Choudhary, B De Supinski, M DeVries, ER Hawkes, S Klasky, ... Computational Science & Discovery 2 (1), 015001, 2009	726	2009
Recent advances and applications of deep learning methods in materials science K Choudhary, B DeCost, C Chen, A Jain, F Tavazza, R Cohn, CW Park, ... npj Computational Materials 8 (1), 59, 2022	583	2022
A fast high utility itemsets mining algorithm Y Liu, W Liao, A Choudhary Proceedings of the 1st international workshop on Utility-based data mining …, 2005	571	2005
Parallel netCDF: A high-performance scientific I/O interface J Li, W Liao, A Choudhary, R Ross, R Thakur, W Gropp, R Latham, ... Proceedings of the 2003 ACM/IEEE conference on Supercomputing, 39, 2003	545	2003
Firefly: Illuminating future network-on-chip with nanophotonics Y Pan, P Kumar, J Kim, G Memik, Y Zhang, A Choudhary Proceedings of the 36th annual international symposium on Computer …, 2009	538	2009
Twitter trending topic classification K Lee, D Palsetia, R Narayanan, MMA Patwary, A Agrawal, A Choudhary 2011 IEEE 11th international conference on data mining workshops, 251-258, 2011	487	2011
ElemNet: Deep Learning the Chemistry of Materials From Only Elemental Composition D Jha, L Ward, A Paul, W Liao, A Choudhary, C Wolverton, A Agrawal Scientific reports 8 (1), 17593, 2018	469	2018
Including crystal structure attributes in machine learning models of formation energies via Voronoi tessellations L Ward, R Liu, A Krishna, VI Hegde, A Agrawal, A Choudhary, ... Physical Review B 96 (2), 024104, 2017	418	2017
An exploration of parameter redundancy in deep networks with circulant projections Y Cheng, FX Yu, RS Feris, S Kumar, A Choudhary, SF Chang Proceedings of the IEEE international conference on computer vision, 2857-2865, 2015	404	2015
Improved parallel I/O via a two-phase run-time access strategy JM Del Rosario, R Bordawekar, A Choudhary ACM SIGARCH Computer Architecture News 21 (5), 31-38, 1993	403	1993
Mafia: E±cient and scalable subspace clustering for very large data sets S Goil, H Nagesh, A Choudhary Proc. 5th ACM SIGKDD International Conference on Knowledge Discovery and …, 1999	396	1999
A predictive machine learning approach for microstructure optimization and materials design R Liu, A Kumar, Z Chen, A Agrawal, V Sundararaghavan, A Choudhary Scientific reports 5 (1), 11551, 2015	392	2015
Deep learning approaches for mining structure-property linkages in high contrast composites from simulation datasets Z Yang, YC Yabansu, R Al-Bahrani, W Liao, AN Choudhary, SR Kalidindi, ... Computational Materials Science 151, 278-287, 2018	369	2018
Sentiment analysis of conditional sentences R Narayanan, B Liu, A Choudhary Proceedings of the 2009 conference on empirical methods in natural language …, 2009	364	2009

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