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)

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)

Tolerance-based intuitionistic fuzzy-rough set approach for attribute reduction. - Anoop Kumar Tiwari; Shivam Shreevastava; Tanmoy Som; Kaushal Kumar Shukla (Expert Syst. Appl., 2018)

Intuitionistic Fuzzy Neighborhood Rough Set Model for Feature Selection. - Shivam Shreevastava; Anoop Kumar Tiwari; Tanmoy Som (Int. J. Fuzzy Syst. Appl., 2018)

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

Enhanced Prediction of plant virus-encoded RNA silencing suppressors by incorporating Reduced Set of Sequence Features using SMOTE followed by Fuzzy-Rough Feature Selection Technique. - Pankhuri Jain; Anoop Kumar Tiwari; Tanmoy Som (ICCCNT, 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)

A fitting model based intuitionistic fuzzy rough feature selection. - Pankhuri Jain; Anoop Kumar Tiwari; Tanmoy Som (Eng. Appl. Artif. Intell., 2020)

Enhanced prediction of anti-tubercular peptides from sequence information using divergence measure-based intuitionistic fuzzy-rough feature selection. - Pankhuri Jain; Anoop Kumar Tiwari; Tanmoy Som (Soft Comput., 2021)

An intuitionistic fuzzy bireduct model and its application to cancer treatment. - Pankhuri Jain; Anoop Kumar Tiwari; Tanmoy Som (Comput. Ind. Eng., 2022)

Deep Reinforcement Learning based reliable spectrum sensing under SSDF attacks in Cognitive Radio networks. - Anal Paul; Aneesh Kumar Mishra; Shivam Shreevastava; Anoop Kumar Tiwari (J. Netw. Comput. Appl., 2022)

Fuzzy rough assisted missing value imputation and feature selection. - Pankhuri Jain; Anoop Kumar Tiwari; Tanmoy Som (Neural Comput. Appl., 2023)

Hybrid Approach of Cotton Disease Detection for Enhanced Crop Health and Yield. - Rahul Kumar; Ashok Kumar; Karamjit Bhatia; Kottakkaran Sooppy Nisar; Siddharth Singh Chouhan; Priti Maratha; Anoop Kumar Tiwari (IEEE Access, 2024)

A novel intuitionistic fuzzy rough instance selection and attribute reduction with kernelized intuitionistic fuzzy C-means clustering to handle imbalanced datasets. - Anoop Kumar Tiwari; Abhigyan Nath; Rakesh Kumar Pandey; Priti Maratha (Expert Syst. Appl., 2024)

Building Resilience in Banking Against Fraud with Hyper Ensemble Machine Learning and Anomaly Detection Strategies. - Astha Vashistha; Anoop Kumar Tiwari (SN Comput. Sci., 2024)

Intuitionistic fuzzy rough set model based on k-means and its application to enhance prediction of aptamer-protein interacting pairs. - Pankhuri Jain; Anoop Kumar Tiwari; Tanmoy Som (J. Ambient Intell. Humaniz. Comput., 2024)

Correction: Intuitionistic fuzzy rough set model based on k-means and its application to enhance prediction of aptamer-protein interacting pairs. - Pankhuri Jain; Anoop Kumar Tiwari; Tanmoy Som (J. Ambient Intell. Humaniz. Comput., 2024)

Corrections to "Hybrid Approach of Cotton Disease Detection for Enhanced Crop Health and Yield". - Rahul Kumar; Ashok Kumar; Karamjit Bhatia; Kottakkaran Sooppy Nisar; Siddharth Singh Chouhan; Priti Maratha; Anoop Kumar Tiwari (IEEE Access, 2025)

2pCePd-Net: Two-Path Cross-Context Encoder With Probability Map-Based Bandpass Decoder for Retinal Vessel Segmentation. - Supratim Ghosh; Sourav Pramanik; Anoop Kumar Tiwari; Kottakkaran Sooppy Nisar; Mahantapas Kundu; Mita Nasipuri (IEEE Trans. Instrum. Meas., 2025)