Putative Drug and Vaccine Target Identification in Leishmania donovani Membrane Proteins Using Naïve Bayes Probabilistic Classifier. - Arvind Kumar Sinha; Pradeep Singh 001; Anand Prakash; Dharm Pal; Anuradha Dube; Awanish Kumar (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

Fuzzy Rule-Based Approach for Software Fault Prediction. - Pradeep Singh 001; Nikhil R. Pal; Shrish Verma; Om Prakash Vyas (IEEE Trans. Syst. Man Cybern. Syst., 2017)

Evolutionary based optimal ensemble classifiers for HIV-1 protease cleavage sites prediction. - Deepak Singh; Pradeep Singh 001; Dilip Singh Sisodia (Expert Syst. Appl., 2018)

Multi-classifier model for software fault prediction. - Pradeep Singh 001; Shrish Verma (Int. Arab J. Inf. Technol., 2018)

Neighbour teaching learning based optimization for global optimization problems. - Alok Kumar Shukla; Pradeep Singh 001; Manu Vardhan (J. Intell. Fuzzy Syst., 2018)

Evolutionary based ensemble framework for realizing transfer learning in HIV-1 Protease cleavage sites prediction. - Deepak Singh; Pradeep Singh 001; Dilip Singh Sisodia (Appl. Intell., 2019)

Compositional model based on factorial evolution for realizing multi-task learning in bacterial virulent protein prediction. - Deepak Singh; Pradeep Singh 001; Dilip Singh Sisodia (Artif. Intell. Medicine, 2019)

A rule extraction approach from support vector machines for diagnosing hypertension among diabetics. - Namrata Singh; Pradeep Singh 001; Deepika Bhagat (Expert Syst. Appl., 2019)

A New Hybrid Feature Subset Selection Framework Based on Binary Genetic Algorithm and Information Theory. - Alok Kumar Shukla; Pradeep Singh 001; Manu Vardhan (Int. J. Comput. Intell. Appl., 2019)

A new hybrid wrapper TLBO and SA with SVM approach for gene expression data. - Alok Kumar Shukla; Pradeep Singh 001; Manu Vardhan (Inf. Sci., 2019)

A hybrid framework for optimal feature subset selection. - Alok Kumar Shukla; Pradeep Singh 001; Manu Vardhan (J. Intell. Fuzzy Syst., 2019)

A novel Bagged Naïve Bayes-Decision Tree approach for multi-class classification problems. - Namrata Singh; Pradeep Singh 001 (J. Intell. Fuzzy Syst., 2019)

Signature Based Malicious Behavior Detection in Android. - Vikas Sihag; Ashawani Swami; Manu Vardhan; Pradeep Singh 001 (COMS2, 2020)

Text Imbalance Handling and Classification for Cross- platform Cyber-crime Detection using Deep Learning. - Munipalle Sai Nikhila; Aman Bhalla; Pradeep Singh 001 (ICCCNT, 2020)

Multi-Objective Evolutionary approach for the Performance Improvement of Learners using Ensembling Feature selection and Discretization Technique on Medical data. - Deepak Singh; Dilip Singh Sisodia; Pradeep Singh 001 (CoRR, 2020)

Software Effort Estimation using parameter tuned Models. - Akanksha Baghel; Meemansa Rathod; Pradeep Singh 001 (CoRR, 2020)

Compositional framework for multitask learning in the identification of cleavage sites of HIV-1 protease. - Deepak Singh; Dilip Singh Sisodia; Pradeep Singh 001 (J. Biomed. Informatics, 2020)

ACO based comprehensive model for software fault prediction. - Pradeep Singh 001; Shrish Verma (Int. J. Knowl. Based Intell. Eng. Syst., 2020)

Deciphering the function of unknown Leishmania donovani cytosolic proteins using hyperparameter-tuned random forest. - Pradeep Singh 001; Awanish Kumar (Netw. Model. Anal. Health Informatics Bioinform., 2020)

Multiobjective evolutionary-based multi-kernel learner for realizing transfer learning in the prediction of HIV-1 protease cleavage sites. - Deepak Singh; Dilip Singh Sisodia; Pradeep Singh 001 (Soft Comput., 2020)

Gene selection for cancer types classification using novel hybrid metaheuristics approach. - Alok Kumar Shukla; Pradeep Singh 001; Manu Vardhan (Swarm Evol. Comput., 2020)

Forensic Analysis of Fitness Applications on Android. - Rahul Sinha; Vikas Sihag; Gaurav Choudhary; Manu Vardhan; Pradeep Singh 001 (MobiSec, 2021)

An Assistive Tool For Fileless Malware Detection. - Pramod Borana; Vikas Sihag; Gaurav Choudhary; Manu Vardhan; Pradeep Singh 001 (WAC, 2021)

A Critical Note on Social Cloud. - Pramod C. Mane; Kapil Ahuja; Pradeep Singh 001 (CoRR, 2021)

A survey of android application and malware hardening. - Vikas Sihag; Manu Vardhan; Pradeep Singh 001 (Comput. Sci. Rev., 2021)

BLADE: Robust malware detection against obfuscation in android. - Vikas Sihag; Manu Vardhan; Pradeep Singh 001 (Digit. Investig., 2021)

De-LADY: Deep learning based Android malware detection using Dynamic features. - Vikas Sihag; Manu Vardhan; Pradeep Singh 001; Gaurav Choudhary; Seiil Son (J. Internet Serv. Inf. Secur., 2021)

Defect count prediction via metric-based convolutional neural network. - Meetesh Nevendra; Pradeep Singh 001 (Neural Comput. Appl., 2021)

Empirical investigation of hyperparameter optimization for software defect count prediction. - Meetesh Nevendra; Pradeep Singh 001 (Expert Syst. Appl., 2022)

Exploring the effectiveness of word embedding based deep learning model for improving email classification. - Deepak Suresh Asudani; Naresh Kumar Nagwani; Pradeep Singh 001 (Data Technol. Appl., 2022)

Cross-Project Defect Prediction with Metrics Selection and Balancing Approach. - Meetesh Nevendra; Pradeep Singh 001 (Appl. Comput. Syst., 2022)

Transfer Learning Based Lightweight Ensemble Model for Imbalanced Breast Cancer Classification. - Shankey Garg; Pradeep Singh 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

DISET: a distance based semi-supervised self-training for automated users' agent activity detection from web access log. - Rikhi Ram Jagat; Dilip Singh Sisodia; Pradeep Singh 001 (Multim. Tools Appl., 2023)

An aggregated loss function based lightweight few shot model for plant leaf disease classification. - Shankey Garg; Pradeep Singh 001 (Multim. Tools Appl., 2023)

Web-S4AE: a semi-supervised stacked sparse autoencoder model for web robot detection. - Rikhi Ram Jagat; Dilip Singh Sisodia; Pradeep Singh 001 (Neural Comput. Appl., 2023)

Impact of word embedding models on text analytics in deep learning environment: a review. - Deepak Suresh Asudani; Naresh Kumar Nagwani; Pradeep Singh 001 (Artif. Intell. Rev., 2023)

Exploiting web content semantic features to detect web robots from weblogs. - Rikhi Ram Jagat; Dilip Singh Sisodia; Pradeep Singh 001 (J. Netw. Comput. Appl., 2024)

A comparative evaluation of machine learning and deep learning algorithms for question categorization of VQA datasets. - Deepak Suresh Asudani; Naresh Kumar Nagwani; Pradeep Singh 001 (Multim. Tools Appl., 2024)

Detecting Web Attacks From HTTP Weblogs Using Variational LSTM Autoencoder Deviation Network. - Rikhi Ram Jagat; Dilip Singh Sisodia; Pradeep Singh 001 (IEEE Trans. Serv. Comput., 2024)

ErfReLU: adaptive activation function for deep neural network. - Ashish Rajanand; Pradeep Singh 001 (Pattern Anal. Appl., 2024)

TRGNet: a deep transfer learning approach for software defect prediction. - Meetesh Nevendra; Pradeep Singh 001 (Expert Syst. Appl., 2025)

Meta network attention-based feature matching for heterogeneous defect prediction. - Meetesh Nevendra; Pradeep Singh 001 (Autom. Softw. Eng., 2025)

AdaCoRCE Loss for Knowledge Distillation: A Novel Approach With Network Fission and Co-Teaching Technique. - Shankey Garg; Pradeep Singh 001 (IEEE Trans. Artif. Intell., 2025)