Tirath Prasad Sahu

Orcid: 0000-0001-9985-5241

According to our database1, Tirath Prasad Sahu authored at least 25 papers between 2016 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Multi-label feature selection via entropy-aware correlation metrics and adaptive operator-guided grey wolf optimization.
Knowl. Inf. Syst., December, 2026

Optimized client selection for hybrid blockchain-enabled semi-asynchronous federated learning in edge-IoT vehicular networks.
Computing, May, 2026

A mutation-based modified binary fruit fly optimization for feature selection to predict CD4+/CD8+ T-cells epitopes.
Soft Comput., February, 2026

2025
Lightweight feature selection for multi-label classification using multi-objective preference selection index.
Int. J. Mach. Learn. Cybern., December, 2025

PSI-MFS: lightweight multi-objective feature selection for enhanced multi-label classification.
J. Supercomput., April, 2025

SVM-based multiple instance learning approach to select the best answer in CQA sites.
Int. J. Adv. Intell. Paradigms, 2025

Deep label relevance and label ambiguity based multi-label feature selection for text classification.
Eng. Appl. Artif. Intell., 2025

2024
Adaptive feature selection using Label Uncertainty Reduction for multi-label classification.
Proceedings of the 13th International Conference on Software and Computer Applications, 2024

Sin-Cos Fusion-Based African Vulture Optimization Algorithm for Feature Selection in Detecting DDoS Attack in IoT Networks.
Proceedings of the OITS International Conference on Information Technology, 2024

2023
Optimized fuzzy based symbiotic organism search algorithm for engineering design problem.
Evol. Intell., February, 2023

Correlation Feature Selection (CFS) and Feature Weighting (CFW) Based Improved BPSO for Gene Selection and Cancer Classification.
Proceedings of the 2023 6th International Conference on Information Science and Systems, 2023

2022
Effective forecasting of stock market price by using extreme learning machine optimized by PSO-based group oriented crow search algorithm.
Neural Comput. Appl., 2022

Multi-objective feature selection based on quasi-oppositional based Jaya algorithm for microarray data.
Knowl. Based Syst., 2022

Stock market forecasting using intrinsic time-scale decomposition in fusion with cluster based modified CSA optimized ELM.
J. King Saud Univ. Comput. Inf. Sci., 2022

Binary Jaya algorithm based on binary similarity measure for feature selection.
J. Ambient Intell. Humaniz. Comput., 2022

2021
Feature weighting for naïve Bayes using multi objective artificial bee colony algorithm.
Int. J. Comput. Sci. Eng., 2021

Feature selection using Binary Crow Search Algorithm with time varying flight length.
Expert Syst. Appl., 2021

A hybrid feature selection method based on Binary Jaya algorithm for micro-array data classification.
Comput. Electr. Eng., 2021

2020
A Machine Learning-Based Lexicon Approach for Sentiment Analysis.
Int. J. Technol. Hum. Interact., 2020

2019
A Sequential Study of Emotions through EEG using HMM.
Proceedings of the 2019 IEEE International Conference on Computational Science and Engineering, 2019

Automatic Question Tagging Using Multi-label Classification in Community Question Answering Sites.
Proceedings of the 6th IEEE International Conference on Cyber Security and Cloud Computing, 2019

2018
Detection and Classification of Noise Using Bark Domain Features.
Proceedings of the 6th International Conference on Communications and Broadband Networking, 2018

2016
Multivariate Beta Mixture Model for Automatic Identification of Topical Authoritative Users in Community Question Answering Sites.
IEEE Access, 2016

Selecting Best Answer: An Empirical Analysis on Community Question Answering Sites.
IEEE Access, 2016

Topical Authoritative Answerer Identification on Q&A Posts using Supervised Learning in CQA Sites.
Proceedings of the 9th Annual ACM India Conference, 2016


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