Anoop Kumar Tiwari

According to our database, Anoop Kumar Tiwari authored at least 17 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., October, 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., September, 2024

Building Resilience in Banking Against Fraud with Hyper Ensemble Machine Learning and Anomaly Detection Strategies.

Astha Vashistha, Anoop Kumar Tiwari

SN Comput. Sci., June, 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

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

2023

Fuzzy rough assisted missing value imputation and feature selection.

Pankhuri Jain, Anoop Kumar Tiwari, Tanmoy Som

Neural Comput. Appl., 2023

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

An intuitionistic fuzzy bireduct model and its application to cancer treatment.

Pankhuri Jain, Anoop Kumar Tiwari, Tanmoy Som

Comput. Ind. Eng., 2022

2021

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

2020

A fitting model based intuitionistic fuzzy rough feature selection.

Pankhuri Jain, Anoop Kumar Tiwari, Tanmoy Som

Eng. Appl. Artif. Intell., 2020

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

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

Proceedings of the 10th International Conference on Computing, 2019

2018

New approaches to intuitionistic fuzzy-rough attribute reduction.

Anoop Kumar Tiwari, Shivam Shreevastava, Kaushal Kumar Shukla, Karthikeyan Subbiah

J. Intell. Fuzzy Syst., 2018

Intuitionistic Fuzzy Neighborhood Rough Set Model for Feature Selection.

Shivam Shreevastava, Anoop Kumar Tiwari, Tanmoy Som

Int. J. Fuzzy Syst. Appl., 2018

Tolerance-based intuitionistic fuzzy-rough set approach for attribute reduction.

Anoop Kumar Tiwari, Shivam Shreevastava, Tanmoy Som, Kaushal Kumar Shukla

Expert Syst. Appl., 2018

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

2015

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

Proceedings of the 11th International Conference on Natural Computation, 2015