An insight into the molecular basis for convergent evolution in fish antifreeze Proteins. - Abhigyan Nath; Radha Chaube; Karthikeyan Subbiah (Comput. Biol. Medicine, 2013)

Inferring biological basis about psychrophilicity by interpreting the rules generated from the correctly classified input instances by a classifier. - Abhigyan Nath; Karthikeyan Subbiah (Comput. Biol. Chem., 2014)

Effect of varying degree of resampling on prediction accuracy for observed peptide count in protein mass spectrometry data. - Anoop Kumar Tiwari; Abhigyan Nath; Karthikeyan Subbiah; Kaushal Kumar Shukla (ICNC, 2015)

Maximizing lipocalin prediction through balanced and diversified training set and decision fusion. - Abhigyan Nath; Karthikeyan Subbiah (Comput. Biol. Chem., 2015)

A Novel Storage Architecture for Facilitating Efficient Analytics of Health Informatics Big Data in Cloud. - Manish Kumar Pandey; Karthikeyan Subbiah (CIT, 2016)

Social Networking and Big Data Analytics Assisted Reliable Recommendation System Model for Internet of Vehicles. - Manish Kumar Pandey; Karthikeyan Subbiah (IOV, 2016)

Unsupervised learning assisted robust prediction of bioluminescent proteins. - Abhigyan Nath; Karthikeyan Subbiah (Comput. Biol. Medicine, 2016)

Enhanced identification of β-lactamases and its classes using sequence, physicochemical and evolutionary information with sequence feature characterization of the classes. - Abhigyan Nath; Karthikeyan Subbiah (Comput. Biol. Chem., 2017)

Enhanced Prediction for Observed Peptide Count in Protein Mass Spectrometry Data by Optimally Balancing the Training Dataset. - Anoop Kumar Tiwari; Abhigyan Nath; Karthikeyan Subbiah; Kaushal Kumar Shukla (Int. J. Pattern Recognit. Artif. Intell., 2017)

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. - Abhigyan Nath; Karthikeyan Subbiah (Neurocomputing, 2018)

New approaches to intuitionistic fuzzy-rough attribute reduction. - Anoop Kumar Tiwari; Shivam Shreevastava; Kaushal Kumar Shukla; Karthikeyan Subbiah (J. Intell. Fuzzy Syst., 2018)

An Empirical Mode Decomposition (EMD) Enabled Long Sort Term Memory (LSTM) Based Time Series Forecasting Framework for Web Services Recommendation. - Vijendra Pratap Singh; Manish Kumar Pandey; Pangambam Sendash Singh; Karthikeyan Subbiah (FSDM, 2019)

An intuitionistic fuzzy-rough set model and its application to feature selection. - Anoop Kumar Tiwari; Shivam Shreevastava; Karthikeyan Subbiah; Tanmoy Som (J. Intell. Fuzzy Syst., 2019)

An LSTM Based Time Series Forecasting Framework for Web Services Recommendation. - Vijendra Pratap Singh; Manish Kumar Pandey; Pangambam Sendash Singh; Karthikeyan Subbiah (Computación y Sistemas, 2020)

Local Binary Ensemble based Self-training for Semi-supervised Classification of Hyperspectral Remote Sensing Images. - Pangambam Sendash Singh; Vijendra Pratap Singh; Manish Kumar Pandey; Karthikeyan Subbiah (Computación y Sistemas, 2020)

Optimal balancing & efficient feature ranking approach to minimize credit risk. - Manish Kumar Pandey; Mamta Mittal; Karthikeyan Subbiah (Int. J. Inf. Manag. Data Insights, 2021)

Improved Carpooling Experience through Improved GPS Trajectory Classification Using Machine Learning Algorithms. - Manish Kumar Pandey; Anu Saini; Karthikeyan Subbiah; Nalini Chintalapudi; Gopi Battineni (Inf., 2022)

Enhanced classification of remotely sensed hyperspectral images through efficient band selection using autoencoders and genetic algorithm. - Pangambam Sendash Singh; Karthikeyan Subbiah (Neural Comput. Appl., 2022)