Name
Affiliation
Papers
AYAN ACHARYA
Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, TX, USA
29
Collaborators
Citations 
PageRank 
33
109
12.35
Referers 
Referees 
References 
299
656
396
Search Limit
100656
Title
Citations
PageRank
Year
Combining clustering and active learning for the detection and learning of new image classes.00.342019
A Dual Markov Chain Topic Model for Dynamic Environments.00.342018
Nonparametric Poisson Factorization Machine00.342015
A differential evolution algorithm to optimise the combination of classifier and cluster ensembles50.422015
Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices.110.592015
Gamma Process Poisson Factorization for Joint Modeling of Network and Documents70.462015
Using Metaheuristics To Optimize The Combination Of Classifier And Cluster Ensembles170.562015
Active Multitask Learning Using Both Latent and Supervised Shared Topics.30.372014
An Optimization Framework for Combining Ensembles of Classifiers and Clusterers with Applications to Nontransductive Semisupervised Learning and Transfer Learning90.502014
Using Both Latent and Supervised Shared Topics for Multitask Learning.20.352013
Noisy Matrix Completion Using Alternating Minimization.100.682013
A Privacy-Aware Bayesian Approach for Combining Classifier and Cluster Ensembles00.342012
Transfer Learning with Cluster Ensembles.30.392012
Probabilistic Combination of Classifier and Cluster Ensembles for Non-transductive Learning20.382012
Real Time Car Detection and Tracking in Mobile Devices20.412012
An Optimization Framework for Semi-Supervised and Transfer Learning using Multiple Classifiers and Clusterers10.362012
C 3E: A Framework for Combining Ensembles of Classifiers and Clusterers.30.412011
Cluster ensembles240.782011
Balancing Energy Dissipation in Data Gathering Wireless Sensor Networks Using Ant Colony Optimization80.892009
A partly deterministic and partly stochastic scheme for the identification of fractional-order processes00.342009
A Swarm Intelligence Based Scheme for Complete and Fault-tolerant Identification of a Dynamical Fractional Order Process00.342008
Balancing Exploration and Exploitation by an Elitist Ant System with Exponential Pheromone Deposition Rule00.342008
Tuning PID and FOPID Controllers using the Integral Time Absolute Error Criterion00.342008
A Novel Parser Design Algorithm Based On Artificial Ants00.342008
Fast and Efficient Circle Detection Schemes for Digital Image.10.382008
Extension of Max-Min Ant System with Exponential Pheromone Deposition Rule10.392008
Novel and improved methods of regular geometric shape recognition from digital image using artificial ants00.342008
A Deterministic Model for Analyzing the Dynamics of Ant System Algorithm and Performance Amelioration through a New Pheromone Deposition Approach00.342008
Extension of Ant System algorithms with exponential pheromone deposition rule for improved performance00.342008