Anuraganand Sharma

Orcid: 0000-0002-2572-7922

According to our database1, Anuraganand Sharma authored at least 18 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Data Distribution-Based Curriculum Learning.
IEEE Access, 2024

2023
A Guided Neural Network Approach to Predict Early Readmission of Diabetic Patients.
IEEE Access, 2023

2022
SMOTified-GAN for Class Imbalanced Pattern Classification Problems.
IEEE Access, 2022

2021
Guided parallelized stochastic gradient descent for delay compensation.
Appl. Soft Comput., 2021

A Strategic Weight Refinement Maneuver for Convolutional Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2021

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

Classification with 2-D Convolutional Neural Networks for breast cancer diagnosis.
CoRR, 2020

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

2019
Forecasting of Currency Exchange Rate Using Artificial Neural Network: A Case Study of Solomon Island Dollar.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Meta-heuristic approaches to tackle Skill Based Group allocation of Students in Project Based Learning Courses.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Guided Stochastic Gradient Descent Algorithm for inconsistent datasets.
Appl. Soft Comput., 2018

Skill-Based Group Allocation of Students for Project-Based Learning Courses Using Genetic Algorithm: Weighted Penalty Model.
Proceedings of the IEEE International Conference on Teaching, 2018

Information Collection Strategies In Memetic Cooperative Neuroevolution For Time Series Prediction.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Analysis on the Occurrence of Tropical Cyclone in the South Pacific Region Using Recurrent Neural Network with LSTM.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
Stacked transfer learning for tropical cyclone intensity prediction.
CoRR, 2017

2016
Memetic Cooperative Neuro-Evolution for Chaotic Time Series Prediction.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Multi-step-ahead chaotic time series prediction using coevolutionary recurrent neural networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Analysis of evolutionary operators for ICHEA in solving constraint optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015


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