Karthikeyan Subbiah

Publication Activity (10 Years)

Years Active: 2013-2022
Publications (10 Years): 14

Top Topics

Intuitionistic Fuzzy

Hyperspectral Remote Sensing Images

Mass Spectrometry

Top Venues

Comput. Biol. Chem.

Comput. Biol. Medicine

Computación y Sistemas

J. Intell. Fuzzy Syst.

Publications

Manish Kumar Pandey, Anu Saini, Karthikeyan Subbiah, Nalini Chintalapudi, Gopi Battineni
Improved Carpooling Experience through Improved GPS Trajectory Classification Using Machine Learning Algorithms. Inf. 13 (8) (2022)
Pangambam Sendash Singh, Karthikeyan Subbiah
Enhanced classification of remotely sensed hyperspectral images through efficient band selection using autoencoders and genetic algorithm. Neural Comput. Appl. 34 (24) (2022)
Manish Kumar Pandey, Mamta Mittal, Karthikeyan Subbiah
Optimal balancing & efficient feature ranking approach to minimize credit risk. Int. J. Inf. Manag. Data Insights 1 (2) (2021)
Vijendra Pratap Singh, Manish Kumar Pandey, Pangambam Sendash Singh, Karthikeyan Subbiah
An LSTM Based Time Series Forecasting Framework for Web Services Recommendation. Computación y Sistemas 24 (2) (2020)
Pangambam Sendash Singh, Vijendra Pratap Singh, Manish Kumar Pandey, Karthikeyan Subbiah
Local Binary Ensemble based Self-training for Semi-supervised Classification of Hyperspectral Remote Sensing Images. Computación y Sistemas 24 (2) (2020)
Vijendra Pratap Singh, Manish Kumar Pandey, Pangambam Sendash Singh, Karthikeyan Subbiah
An Empirical Mode Decomposition (EMD) Enabled Long Sort Term Memory (LSTM) Based Time Series Forecasting Framework for Web Services Recommendation. FSDM (2019)
Anoop Kumar Tiwari, Shivam Shreevastava, Karthikeyan Subbiah, Tanmoy Som
An intuitionistic fuzzy-rough set model and its application to feature selection. J. Intell. Fuzzy Syst. 36 (5) (2019)
Anoop Kumar Tiwari, Shivam Shreevastava, Kaushal Kumar Shukla, Karthikeyan Subbiah
New approaches to intuitionistic fuzzy-rough attribute reduction. J. Intell. Fuzzy Syst. 34 (5) (2018)
Abhigyan Nath, Karthikeyan Subbiah
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 272 (2018)
Anoop Kumar Tiwari, Abhigyan Nath, Karthikeyan Subbiah, Kaushal Kumar Shukla
Enhanced Prediction for Observed Peptide Count in Protein Mass Spectrometry Data by Optimally Balancing the Training Dataset. Int. J. Pattern Recognit. Artif. Intell. 31 (12) (2017)
Abhigyan Nath, Karthikeyan Subbiah
Enhanced identification of β-lactamases and its classes using sequence, physicochemical and evolutionary information with sequence feature characterization of the classes. Comput. Biol. Chem. 68 (2017)
Manish Kumar Pandey, Karthikeyan Subbiah
Social Networking and Big Data Analytics Assisted Reliable Recommendation System Model for Internet of Vehicles. IOV (2016)
Manish Kumar Pandey, Karthikeyan Subbiah
A Novel Storage Architecture for Facilitating Efficient Analytics of Health Informatics Big Data in Cloud. CIT (2016)
Abhigyan Nath, Karthikeyan Subbiah
Unsupervised learning assisted robust prediction of bioluminescent proteins. Comput. Biol. Medicine 68 (2016)
Abhigyan Nath, Karthikeyan Subbiah
Maximizing lipocalin prediction through balanced and diversified training set and decision fusion. Comput. Biol. Chem. 59 (2015)
Anoop Kumar Tiwari, Abhigyan Nath, Karthikeyan Subbiah, Kaushal Kumar Shukla
Effect of varying degree of resampling on prediction accuracy for observed peptide count in protein mass spectrometry data. ICNC (2015)
Abhigyan Nath, Karthikeyan Subbiah
Inferring biological basis about psychrophilicity by interpreting the rules generated from the correctly classified input instances by a classifier. Comput. Biol. Chem. 53 (2014)
Abhigyan Nath, Radha Chaube, Karthikeyan Subbiah
An insight into the molecular basis for convergent evolution in fish antifreeze Proteins. Comput. Biol. Medicine 43 (7) (2013)