Karthikeyan Subbiah

Orcid: 0000-0001-9614-9827

According to our database1, Karthikeyan Subbiah authored at least 18 papers between 2013 and 2022.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2022
Enhanced classification of remotely sensed hyperspectral images through efficient band selection using autoencoders and genetic algorithm.
Neural Comput. Appl., 2022

Improved Carpooling Experience through Improved GPS Trajectory Classification Using Machine Learning Algorithms.
Inf., 2022

2021
Optimal balancing & efficient feature ranking approach to minimize credit risk.
Int. J. Inf. Manag. Data Insights, 2021

2020
Local Binary Ensemble based Self-training for Semi-supervised Classification of Hyperspectral Remote Sensing Images.
Computación y Sistemas, 2020

An LSTM Based Time Series Forecasting Framework for Web Services Recommendation.
Computación y Sistemas, 2020

2019
An intuitionistic fuzzy-rough set model and its application to feature selection.
J. Intell. Fuzzy Syst., 2019

An Empirical Mode Decomposition (EMD) Enabled Long Sort Term Memory (LSTM) Based Time Series Forecasting Framework for Web Services Recommendation.
Proceedings of the Fuzzy Systems and Data Mining V, 2019

2018
New approaches to intuitionistic fuzzy-rough attribute reduction.
J. Intell. Fuzzy Syst., 2018

The role of pertinently diversified and balanced training as well as testing data sets in achieving the true performance of classifiers in predicting the antifreeze proteins.
Neurocomputing, 2018

2017
Enhanced Prediction for Observed Peptide Count in Protein Mass Spectrometry Data by Optimally Balancing the Training Dataset.
Int. J. Pattern Recognit. Artif. Intell., 2017

Enhanced identification of β-lactamases and its classes using sequence, physicochemical and evolutionary information with sequence feature characterization of the classes.
Comput. Biol. Chem., 2017

2016
Unsupervised learning assisted robust prediction of bioluminescent proteins.
Comput. Biol. Medicine, 2016

Social Networking and Big Data Analytics Assisted Reliable Recommendation System Model for Internet of Vehicles.
Proceedings of the Internet of Vehicles - Technologies and Services, 2016

A Novel Storage Architecture for Facilitating Efficient Analytics of Health Informatics Big Data in Cloud.
Proceedings of the 2016 IEEE International Conference on Computer and Information Technology, 2016

2015
Maximizing lipocalin prediction through balanced and diversified training set and decision fusion.
Comput. Biol. Chem., 2015

Effect of varying degree of resampling on prediction accuracy for observed peptide count in protein mass spectrometry data.
Proceedings of the 11th International Conference on Natural Computation, 2015

2014
Inferring biological basis about psychrophilicity by interpreting the rules generated from the correctly classified input instances by a classifier.
Comput. Biol. Chem., 2014

2013
An insight into the molecular basis for convergent evolution in fish antifreeze Proteins.
Comput. Biol. Medicine, 2013


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