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ORCIDAnuraganand Sharma
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2020 – today
- 2024
[j6]Shonal Chaudhry
, Anuraganand Sharma:
Data Distribution-Based Curriculum Learning. IEEE Access 12: 138429-138440 (2024)- [i7]Shonal Chaudhry, Anuraganand Sharma:
Data Distribution-based Curriculum Learning. CoRR abs/2402.07352 (2024) - 2023
- [j5]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: 47527-47538 (2023) - 2022
- [j4]Anuraganand Sharma, Prabhat Kumar Singh, Rohitash Chandra:
SMOTified-GAN for Class Imbalanced Pattern Classification Problems. IEEE Access 10: 30655-30665 (2022) - 2021
- [j3]Anuraganand Sharma:
Guided parallelized stochastic gradient descent for delay compensation. Appl. Soft Comput. 102: 107084 (2021) - [c9]Patrick Sharma, Adarsh Karan Sharma, Dinesh Kumar, Anuraganand Sharma:
A Strategic Weight Refinement Maneuver for Convolutional Neural Networks. IJCNN 2021: 1-7 - [i6]Anuraganand Sharma:
Guided parallelized stochastic gradient descent for delay compensation. CoRR abs/2101.07259 (2021) - [i5]Anuraganand Sharma, Prabhat Kumar Singh, Rohitash Chandra:
SMOTified-GAN for class imbalanced pattern classification problems. CoRR abs/2108.03235 (2021) - 2020
- [j2]Anuraganand Sharma:
Optimistic Variants of Single-Objective Bilevel Optimization for Evolutionary Algorithms. Int. J. Comput. Intell. Appl. 19(3): 2050020:1-2050020:20 (2020) - [i4]Anuraganand Sharma:
A Constraint Driven Solution Model for Discrete Domains with a Case Study of Exam Timetabling Problems. CoRR abs/2002.03102 (2020) - [i3]Anuraganand Sharma, Dinesh Kumar:
Classification with 2-D Convolutional Neural Networks for breast cancer diagnosis. CoRR abs/2007.03218 (2020) - [i2]Anuraganand Sharma:
Optimistic variants of single-objective bilevel optimization for evolutionary algorithms. CoRR abs/2008.09926 (2020)
2010 – 2019
- 2019
- [c8]Ravneil Nand, Anuraganand Sharma:
Meta-heuristic approaches to tackle Skill Based Group allocation of Students in Project Based Learning Courses. CEC 2019: 1782-1789 - [c7]James D. Kimata, M. 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: 729-733 - 2018
- [j1]Anuraganand Sharma:
Guided Stochastic Gradient Descent Algorithm for inconsistent datasets. Appl. Soft Comput. 73: 1068-1080 (2018) - [c6]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: 476-486 - [c5]Gary Wong, Anuraganand Sharma, Rohitash Chandra:
Information Collection Strategies In Memetic Cooperative Neuroevolution For Time Series Prediction. IJCNN 2018: 1-6 - [c4]Ravneil Nand, Anuraganand Sharma, Karuna G. Reddy:
Skill-Based Group Allocation of Students for Project-Based Learning Courses Using Genetic Algorithm: Weighted Penalty Model. TALE 2018: 394-400 - 2017
- [i1]Ratneel Vikash Deo, Rohitash Chandra, Anuraganand Sharma:
Stacked transfer learning for tropical cyclone intensity prediction. CoRR abs/1708.06539 (2017) - 2016
- [c3]Shamina Hussein, Rohitash Chandra, Anuraganand Sharma:
Multi-step-ahead chaotic time series prediction using coevolutionary recurrent neural networks. CEC 2016: 3084-3091 - [c2]Gary Wong, Rohitash Chandra, Anuraganand Sharma:
Memetic Cooperative Neuro-Evolution for Chaotic Time Series Prediction. ICONIP (3) 2016: 299-308 - 2015
- [c1]Anuraganand Sharma:
Analysis of evolutionary operators for ICHEA in solving constraint optimization problems. CEC 2015: 46-53
Coauthor Index
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