Karthikeyan Subbiah

19 papers C 1Misc 1Journal 15Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Unsupervised deep autoencoder-based reconstruction for ink mismatch detection in hyperspectral document images.
Discov. Comput.
Pangambam Sendash Singh, Karthikeyan Subbiah, Govind Murari Upadhayay, Sounak Sadhukhan, Pramod Kumar Soni, Timothy Malche
2022 J jnl
Enhanced classification of remotely sensed hyperspectral images through efficient band selection using autoencoders and genetic algorithm.
Neural Comput. Appl.
Pangambam Sendash Singh, Karthikeyan Subbiah
2022 J jnl
Improved Carpooling Experience through Improved GPS Trajectory Classification Using Machine Learning Algorithms.
Inf.
Manish Kumar Pandey, Anu Saini, Karthikeyan Subbiah, Nalini Chintalapudi, Gopi Battineni
2021 J jnl
Optimal balancing & efficient feature ranking approach to minimize credit risk.
Int. J. Inf. Manag. Data Insights
Manish Kumar Pandey, Mamta Mittal, Karthikeyan Subbiah
2020 J jnl
An LSTM Based Time Series Forecasting Framework for Web Services Recommendation.
Computación y Sistemas
Vijendra Pratap Singh, Manish Kumar Pandey, Pangambam Sendash Singh, Karthikeyan Subbiah
2020 J jnl
Local Binary Ensemble based Self-training for Semi-supervised Classification of Hyperspectral Remote Sensing Images.
Computación y Sistemas
Pangambam Sendash Singh, Vijendra Pratap Singh, Manish Kumar Pandey, Karthikeyan Subbiah
2019 — conf
An Empirical Mode Decomposition (EMD) Enabled Long Sort Term Memory (LSTM) Based Time Series Forecasting Framework for Web Services Recommendation.
FSDM
Vijendra Pratap Singh, Manish Kumar Pandey, Pangambam Sendash Singh, Karthikeyan Subbiah
2019 J jnl
An intuitionistic fuzzy-rough set model and its application to feature selection.
J. Intell. Fuzzy Syst.
Anoop Kumar Tiwari, Shivam Shreevastava, Karthikeyan Subbiah, Tanmoy Som
2018 J jnl
New approaches to intuitionistic fuzzy-rough attribute reduction.
J. Intell. Fuzzy Syst.
Anoop Kumar Tiwari, Shivam Shreevastava, Kaushal Kumar Shukla, Karthikeyan Subbiah
2018 J jnl
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
Abhigyan Nath, Karthikeyan Subbiah
2017 J jnl
Enhanced Prediction for Observed Peptide Count in Protein Mass Spectrometry Data by Optimally Balancing the Training Dataset.
Int. J. Pattern Recognit. Artif. Intell.
Anoop Kumar Tiwari, Abhigyan Nath, Karthikeyan Subbiah, Kaushal Kumar Shukla
2017 J jnl
Enhanced identification of β-lactamases and its classes using sequence, physicochemical and evolutionary information with sequence feature characterization of the classes.
Comput. Biol. Chem.
Abhigyan Nath, Karthikeyan Subbiah
2016 C conf
A Novel Storage Architecture for Facilitating Efficient Analytics of Health Informatics Big Data in Cloud.
CIT
Manish Kumar Pandey, Karthikeyan Subbiah
2016 — conf
Social Networking and Big Data Analytics Assisted Reliable Recommendation System Model for Internet of Vehicles.
IOV
Manish Kumar Pandey, Karthikeyan Subbiah
2016 J jnl
Unsupervised learning assisted robust prediction of bioluminescent proteins.
Comput. Biol. Medicine
Abhigyan Nath, Karthikeyan Subbiah
2015 Misc conf
Effect of varying degree of resampling on prediction accuracy for observed peptide count in protein mass spectrometry data.
ICNC
Anoop Kumar Tiwari, Abhigyan Nath, Karthikeyan Subbiah, Kaushal Kumar Shukla
2015 J jnl
Maximizing lipocalin prediction through balanced and diversified training set and decision fusion.
Comput. Biol. Chem.
Abhigyan Nath, Karthikeyan Subbiah
2014 J jnl
Inferring biological basis about psychrophilicity by interpreting the rules generated from the correctly classified input instances by a classifier.
Comput. Biol. Chem.
Abhigyan Nath, Karthikeyan Subbiah
2013 J jnl
An insight into the molecular basis for convergent evolution in fish antifreeze Proteins.
Comput. Biol. Medicine
Abhigyan Nath, Radha Chaube, Karthikeyan Subbiah