Ayan Acharya

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Joydeep Ghosh(Chaired) Professor, ECE Dept., Univ. Texas at Austin; Faculty Dell Med, UT-Comp. Sc., McCombsVerified email at utexas.edu
Amit KonarProfessor of Electronics and Tele-Communication Department, Jadavpur UniversityVerified email at etce.jdvu.ac.in
Eduardo R. HruschkaUniversity of São Paulo (USP), BrazilVerified email at usp.br
Mingyuan ZhouAssociate Professor, University of Texas at AustinVerified email at mccombs.utexas.edu
Dr. R. JanarthananProfessor, Department of Computer Science and Engineering, Chennai Institute of TechnologyVerified email at citchennai.net
Mithun ChakrabortyUniversity of Michigan Ann ArborVerified email at umich.edu
Luiz F. S. ColettaDell TechnologiesVerified email at dell.com
Mrinal Kanti NaskarProfessor, Jadavpur UniversityVerified email at etce.jdvu.ac.in
Raymond MooneyProfessor of Computer Science, University of Texas at AustinVerified email at cs.utexas.edu
Anand SeetharamSenior Data Scientist, Cognitive SpaceVerified email at cognitivespace.com
abhishek bhattacharyyaCisco SystemsVerified email at cisco.com
Aritra Banerjeeimec USA, Texas Instruments, Georgia Institute of Technology, Jadavpur UniversityVerified email at imec-int.com
Avijit SahaData Scientist at FlipkartVerified email at flipkart.com
Suriya GunasekarSenior Researcher, MSR RedmondVerified email at ttic.edu
Neeraj GaurGoogleVerified email at google.com
Marcus TylerThe University of Texas at AustinVerified email at arlut.utexas.edu
Moacir A. PontiUniversidade de São Paulo | Mercado LivreVerified email at icmc.usp.br
Jette HendersonVerified email at cognitivescale.com
Balaraman RavindranProfessor of Computer Science, Indian Institute of Technology MadrasVerified email at cse.iitm.ac.in
Aman GuptaStaff Machine Learning Engineer at LinkedInVerified email at linkedin.com

Ayan Acharya

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Data Mining Machine Learning Pattern Recognition


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Cluster Ensembles J Ghosh, A Acharya Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2011	277	2011
Tuning PID and PI^/λD^δControllers using the Integral Time Absolute Error Criterion D Maiti, A Acharya, M Chakraborty, A Konar, R Janarthanan 2008 4th International Conference on Information and Automation for …, 2008	180	2008
Nonparametric Bayesian factor analysis for dynamic count matrices A Acharya, J Ghosh, M Zhou Artificial Intelligence and Statistics, 1-9, 2015	71	2015
C 3E: A Framework for Combining Ensembles of Classifiers and Clusterers. A Acharya, ER Hruschka, J Ghosh, S Acharyya MCS, 269-278, 2011	49	2011
Noisy matrix completion using alternating minimization S Gunasekar, A Acharya, N Gaur, J Ghosh Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013	42	2013
Using metaheuristics to optimize the combination of classifier and cluster ensembles LFS Coletta, ER Hruschka, A Acharya, J Ghosh Integrated Computer-Aided Engineering 22 (3), 229-242, 2015	34	2015
An optimization framework for combining ensembles of classifiers and clusterers with applications to nontransductive semisupervised learning and transfer learning A Acharya, ER Hruschka, J Ghosh, S Acharyya ACM Transactions on Knowledge Discovery from Data (TKDD) 9 (1), 1-35, 2014	28*	2014
Combining clustering and active learning for the detection and learning of new image classes LFS Coletta, M Ponti, ER Hruschka, A Acharya, J Ghosh Neurocomputing 358, 150-165, 2019	27	2019
Gamma process Poisson factorization for joint modeling of network and documents A Acharya, D Teffer, J Henderson, M Tyler, M Zhou, J Ghosh Machine Learning and Knowledge Discovery in Databases: European Conference …, 2015	27	2015
A differential evolution algorithm to optimise the combination of classifier and cluster ensembles LFS Coletta, ER Hruschka, A Acharya, J Ghosh International Journal of Bio-Inspired Computation 7 (2), 111-124, 2015	27	2015
Balancing energy dissipation in data gathering wireless sensor networks using ant colony optimization A Acharya, A Seetharam, A Bhattacharyya, MK Naskar Distributed Computing and Networking: 10th International Conference, ICDCN …, 2009	27	2009
Transfer learning with cluster ensembles A Acharya, ER Hruschka, J Ghosh, S Acharyya Proceedings of ICML Workshop on Unsupervised and Transfer Learning, 123-132, 2012	25	2012
Cluster ensembles: Theory and applications J Ghosh, A Acharya Data Clustering, 551-570, 2018	22	2018
Complete identification of a dynamic fractional order system under non-ideal conditions using fractional differintegral definitions D Maiti, A Acharya, R Janarthanan, A Konar 2008 16th International Conference on Advanced Computing and Communications …, 2008	22	2008
An energy efficient data gathering protocol for wireless sensor networks A Seetharam, A Acharya, A Bhattacharyya, MK Naskar Journal of Applied Computer Science 1 (2), 2008	17	2008
Cognitive attribution N Chawla, M Sanchez, AM Ricaurte, D Ranatunga, A Acharya, ... US Patent 10,643,139, 2020	13	2020
Navigating a Hierarchical Abstraction of Topics via an Augmented Gamma Belief Network Operation A Acharya US Patent App. 15/432,535, 2018	13	2018
Design of a fractional-order self-tuning regulator using optimization algorithms D Maiti, M Chakraborty, A Acharya, A Konar 2008 11th International Conference on Computer and Information Technology …, 2008	13	2008
Active multitask learning using both latent and supervised shared topics A Acharya, RJ Mooney, J Ghosh Proceedings of the 2014 SIAM International Conference on Data Mining, 190-198, 2014	12	2014
A survey of consensus clustering J Ghosh, A Acharya Handbook of Cluster Analysis, 518-539, 2015	11	2015

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