Analysis of evolutionary operators for ICHEA in solving constraint optimization problems. - Anuraganand Sharma (CEC, 2015)

Multi-step-ahead chaotic time series prediction using coevolutionary recurrent neural networks. - Shamina Hussein; Rohitash Chandra; Anuraganand Sharma (CEC, 2016)

Memetic Cooperative Neuro-Evolution for Chaotic Time Series Prediction. - Gary Wong; Rohitash Chandra; Anuraganand Sharma (ICONIP (3), 2016)

Stacked transfer learning for tropical cyclone intensity prediction. - Ratneel Vikash Deo; Rohitash Chandra; Anuraganand Sharma (CoRR, 2017)

Analysis on the Occurrence of Tropical Cyclone in the South Pacific Region Using Recurrent Neural Network with LSTM. - Adarsh Karan Sharma; Vishal Prasad; Roneel Kumar; Anuraganand Sharma (ICONIP (1), 2018)

Information Collection Strategies In Memetic Cooperative Neuroevolution For Time Series Prediction. - Gary Wong; Anuraganand Sharma; Rohitash Chandra (IJCNN, 2018)

Skill-Based Group Allocation of Students for Project-Based Learning Courses Using Genetic Algorithm: Weighted Penalty Model. - Ravneil Nand; Anuraganand Sharma; Karuna G. Reddy (TALE, 2018)

Guided Stochastic Gradient Descent Algorithm for inconsistent datasets. - Anuraganand Sharma (Appl. Soft Comput., 2018)

Meta-heuristic approaches to tackle Skill Based Group allocation of Students in Project Based Learning Courses. - Ravneil Nand; Anuraganand Sharma (CEC, 2019)

Forecasting of Currency Exchange Rate Using Artificial Neural Network: A Case Study of Solomon Island Dollar. - James D. Kimata; M. G. M. Khan 001; Anuraganand Sharma; Mahmood A. Rashid; Tokaua Tekabu (PRICAI (3), 2019)

A Constraint Driven Solution Model for Discrete Domains with a Case Study of Exam Timetabling Problems. - Anuraganand Sharma (CoRR, 2020)

Classification with 2-D Convolutional Neural Networks for breast cancer diagnosis. - Anuraganand Sharma; Dinesh Kumar (CoRR, 2020)

Optimistic Variants of Single-Objective Bilevel Optimization for Evolutionary Algorithms. - Anuraganand Sharma (Int. J. Comput. Intell. Appl., 2020)

A Strategic Weight Refinement Maneuver for Convolutional Neural Networks. - Patrick Sharma; Adarsh Karan Sharma; Dinesh Kumar; Anuraganand Sharma (IJCNN, 2021)

Guided parallelized stochastic gradient descent for delay compensation. - Anuraganand Sharma (Appl. Soft Comput., 2021)

SMOTified-GAN for Class Imbalanced Pattern Classification Problems. - Anuraganand Sharma; Prabhat Kumar Singh; Rohitash Chandra (IEEE Access, 2022)

A Guided Neural Network Approach to Predict Early Readmission of Diabetic Patients. - Avishek Anishkar Ram; Zain Ali; Vandana Krishna; Nandita Nishika; Anuraganand Sharma (IEEE Access, 2023)

Data Distribution-Based Curriculum Learning. - Shonal Chaudhry; Anuraganand Sharma (IEEE Access, 2024)

Dynamic Data Distribution-based Curriculum Learning. - Shonal Chaudhry; Anuraganand Sharma (Inf. Sci., 2025)