Anuraganand Sharma

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 20

Top Topics

Class Imbalanced

Pattern Classification Problems

Project Based Learning

Top Venues

Appl. Soft Comput.

Publications

Shonal Chaudhry, Anuraganand Sharma
Data Distribution-based Curriculum Learning. CoRR (2024)
Avishek Anishkar Ram, Zain Ali, Vandana Krishna, Nandita Nishika, Anuraganand Sharma
A Guided Neural Network Approach to Predict Early Readmission of Diabetic Patients. IEEE Access 11 (2023)
Anuraganand Sharma, Prabhat Kumar Singh, Rohitash Chandra
SMOTified-GAN for Class Imbalanced Pattern Classification Problems. IEEE Access 10 (2022)
Anuraganand Sharma
Guided parallelized stochastic gradient descent for delay compensation. CoRR (2021)
Anuraganand Sharma, Prabhat Kumar Singh, Rohitash Chandra
SMOTified-GAN for class imbalanced pattern classification problems. CoRR (2021)
Anuraganand Sharma
Guided parallelized stochastic gradient descent for delay compensation. Appl. Soft Comput. 102 (2021)
Patrick Sharma, Adarsh Karan Sharma, Dinesh Kumar, Anuraganand Sharma
A Strategic Weight Refinement Maneuver for Convolutional Neural Networks. IJCNN (2021)
Anuraganand Sharma
Optimistic variants of single-objective bilevel optimization for evolutionary algorithms. CoRR (2020)
Anuraganand Sharma
A Constraint Driven Solution Model for Discrete Domains with a Case Study of Exam Timetabling Problems. CoRR (2020)
Anuraganand Sharma
Optimistic Variants of Single-Objective Bilevel Optimization for Evolutionary Algorithms. Int. J. Comput. Intell. Appl. 19 (3) (2020)
Anuraganand Sharma, Dinesh Kumar
Classification with 2-D Convolutional Neural Networks for breast cancer diagnosis. CoRR (2020)
James D. Kimata, Mohammed G. M. Khan, Anuraganand Sharma, Mahmood A. Rashid, Tokaua Tekabu
Forecasting of Currency Exchange Rate Using Artificial Neural Network: A Case Study of Solomon Island Dollar. PRICAI (3) (2019)
Ravneil Nand, Anuraganand Sharma
Meta-heuristic approaches to tackle Skill Based Group allocation of Students in Project Based Learning Courses. CEC (2019)
Ravneil Nand, Anuraganand Sharma, Karuna Reddy
Skill-Based Group Allocation of Students for Project-Based Learning Courses Using Genetic Algorithm: Weighted Penalty Model. TALE (2018)
Gary Wong, Anuraganand Sharma, Rohitash Chandra
Information Collection Strategies In Memetic Cooperative Neuroevolution For Time Series Prediction. IJCNN (2018)
Anuraganand Sharma
Guided Stochastic Gradient Descent Algorithm for inconsistent datasets. Appl. Soft Comput. 73 (2018)
Adarsh Karan Sharma, Vishal Prasad, Roneel Kumar, Anuraganand Sharma
Analysis on the Occurrence of Tropical Cyclone in the South Pacific Region Using Recurrent Neural Network with LSTM. ICONIP (1) (2018)
Ratneel Vikash Deo, Rohitash Chandra, Anuraganand Sharma
Stacked transfer learning for tropical cyclone intensity prediction. CoRR (2017)
Shamina Hussein, Rohitash Chandra, Anuraganand Sharma
Multi-step-ahead chaotic time series prediction using coevolutionary recurrent neural networks. CEC (2016)
Gary Wong, Rohitash Chandra, Anuraganand Sharma
Memetic Cooperative Neuro-Evolution for Chaotic Time Series Prediction. ICONIP (3) (2016)
Anuraganand Sharma
Analysis of evolutionary operators for ICHEA in solving constraint optimization problems. CEC (2015)