Pradeep Singh
Orcid: 0000-0002-2806-8432Affiliations:
- National Institute of Technology, Raipur, India
According to our database1,
Pradeep Singh
authored at least 41 papers
between 2017 and 2025.
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on orcid.org
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on nitrr.ac.in
On csauthors.net:
Bibliography
2025
Autom. Softw. Eng., June, 2025
2024
Pattern Anal. Appl., June, 2024
Detecting Web Attacks From HTTP Weblogs Using Variational LSTM Autoencoder Deviation Network.
IEEE Trans. Serv. Comput., 2024
A comparative evaluation of machine learning and deep learning algorithms for question categorization of VQA datasets.
Multim. Tools Appl., 2024
J. Netw. Comput. Appl., 2024
2023
Impact of word embedding models on text analytics in deep learning environment: a review.
Artif. Intell. Rev., September, 2023
Web-S4AE: a semi-supervised stacked sparse autoencoder model for web robot detection.
Neural Comput. Appl., August, 2023
An aggregated loss function based lightweight few shot model for plant leaf disease classification.
Multim. Tools Appl., June, 2023
DISET: a distance based semi-supervised self-training for automated users' agent activity detection from web access log.
Multim. Tools Appl., May, 2023
Transfer Learning Based Lightweight Ensemble Model for Imbalanced Breast Cancer Classification.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
2022
Appl. Comput. Syst., December, 2022
Exploring the effectiveness of word embedding based deep learning model for improving email classification.
Data Technol. Appl., 2022
Empirical investigation of hyperparameter optimization for software defect count prediction.
Expert Syst. Appl., 2022
2021
Neural Comput. Appl., 2021
J. Internet Serv. Inf. Secur., 2021
Digit. Investig., 2021
Proceedings of the 2021 World Automation Congress, 2021
Proceedings of the Mobile Internet Security - 5th International Symposium, 2021
2020
Gene selection for cancer types classification using novel hybrid metaheuristics approach.
Swarm Evol. Comput., 2020
Multiobjective evolutionary-based multi-kernel learner for realizing transfer learning in the prediction of HIV-1 protease cleavage sites.
Soft Comput., 2020
Deciphering the function of unknown <i>Leishmania donovani</i> cytosolic proteins using hyperparameter-tuned random forest.
Netw. Model. Anal. Health Informatics Bioinform., 2020
Int. J. Knowl. Based Intell. Eng. Syst., 2020
Compositional framework for multitask learning in the identification of cleavage sites of HIV-1 protease.
J. Biomed. Informatics, 2020
Multi-Objective Evolutionary approach for the Performance Improvement of Learners using Ensembling Feature selection and Discretization Technique on Medical data.
CoRR, 2020
Text Imbalance Handling and Classification for Cross- platform Cyber-crime Detection using Deep Learning.
Proceedings of the 11th International Conference on Computing, 2020
Proceedings of the Computing Science, Communication and Security, 2020
2019
A novel Bagged Naïve Bayes-Decision Tree approach for multi-class classification problems.
J. Intell. Fuzzy Syst., 2019
J. Intell. Fuzzy Syst., 2019
Inf. Sci., 2019
A New Hybrid Feature Subset Selection Framework Based on Binary Genetic Algorithm and Information Theory.
Int. J. Comput. Intell. Appl., 2019
A rule extraction approach from support vector machines for diagnosing hypertension among diabetics.
Expert Syst. Appl., 2019
Compositional model based on factorial evolution for realizing multi-task learning in bacterial virulent protein prediction.
Artif. Intell. Medicine, 2019
Evolutionary based ensemble framework for realizing transfer learning in HIV-1 Protease cleavage sites prediction.
Appl. Intell., 2019
2018
J. Intell. Fuzzy Syst., 2018
Int. Arab J. Inf. Technol., 2018
Evolutionary based optimal ensemble classifiers for HIV-1 protease cleavage sites prediction.
Expert Syst. Appl., 2018
2017
IEEE Trans. Syst. Man Cybern. Syst., 2017
Putative Drug and Vaccine Target Identification in Leishmania donovani Membrane Proteins Using Naïve Bayes Probabilistic Classifier.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017