| Cluster Ensembles J Ghosh, A Acharya Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2011 | 303 | 2011 |
| Tuning PID and PI/λDδControllers 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 | 193 | 2008 |
| Nonparametric Bayesian factor analysis for dynamic count matrices A Acharya, J Ghosh, M Zhou Artificial Intelligence and Statistics, 1-9, 2015 | 79 | 2015 |
| C 3E: A Framework for Combining Ensembles of Classifiers and Clusterers A Acharya, ER Hruschka, J Ghosh, S Acharyya Multiple Classifier Systems: 10th International Workshop, MCS 2011, Naples …, 2011 | 52 | 2011 |
| Noisy matrix completion using alternating minimization S Gunasekar, A Acharya, N Gaur, J Ghosh Joint European conference on machine learning and knowledge discovery in …, 2013 | 44 | 2013 |
| 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 | 39 | 2019 |
| 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 | 29* | 2014 |
| 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 | 28 | 2012 |
| 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 | 28 | 2009 |
| 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 |
| Cognitive attribution N Chawla, M Sanchez, AM Ricaurte, D Ranatunga, A Acharya, ... US Patent 10,643,139, 2020 | 26 | 2020 |
| 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 | 26 | 2015 |
| 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 | 21 | 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 |
| Navigating a Hierarchical Abstraction of Topics via an Augmented Gamma Belief Network Operation A Acharya US Patent App. 15/432,535, 2018 | 16 | 2018 |
| Hierarchical topic machine learning operation A Acharya, M Sanchez US Patent 10,997,509, 2021 | 14 | 2021 |
| 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 | 14 | 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 |
Joydeep Ghosh(Chaired) Professor, ECE Dept., Univ. Texas at Austin; Faculty Dell Med, UT-Comp. Sc., McCombsVerified email at utexas.edu
