A Discounted Fuzzy Relational Clustering of Web Users' Using Intuitive Augmented Sessions Dissimilarity Metric. - Dilip Singh Sisodia; Shrish Verma; Om Prakash Vyas (IEEE Access, 2016)

A subtractive medoids selection based fuzzy relational clustering of augmented web user sessions. - Dilip Singh Sisodia (J. Intell. Fuzzy Syst., 2017)

Augmented intuitive dissimilarity metric for clustering of Web user sessions. - Dilip Singh Sisodia; Shrish Verma; Om Prakash Vyas (J. Inf. Sci., 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)

Fast prediction of web user browsing behaviours using most interesting patterns. - Dilip Singh Sisodia; Vijay Khandal; Riya Singhal (J. Inf. Sci., 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)

Alcohol use disorder detection using EEG Signal features and flexible analytical wavelet transform. - Arti Anuragi; Dilip Singh Sisodia (Biomed. Signal Process. Control., 2019)

Ensemble Learning Approach for Clickbait Detection Using Article Headline Features. - Dilip Singh Sisodia (Informing Sci. Int. J. an Emerg. Transdiscipl., 2019)

Modeling Side Information in Preference Relation based Restricted Boltzmann Machine for recommender systems. - Abinash Pujahari; Dilip Singh Sisodia (Inf. Sci., 2019)

Longest Common Subsequence based Multistage Collaborative Filtering for Recommender Systems. - Dilip Singh Sisodia; Inakollu NehaPriyanka; Prodduturi Amulya (ACIT, 2020)

Deep Transfer Learning Model for Automated Screening of Cervical Cancer Cells Using Multi-cell Images. - Vinay Khobragade; Naunika Jain; Dilip Singh Sisodia (ICAI, 2020)

Empirical wavelet transform based automated alcoholism detecting using EEG signal features. - Arti Anuragi; Dilip Singh Sisodia (Biomed. Signal Process. Control., 2020)

Clickbait Detection using Multiple Categorization Techniques. - Abinash Pujahari; Dilip Singh Sisodia (CoRR, 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)

Aggregation of preference relations to enhance the ranking quality of collaborative filtering based group recommender system. - Abinash Pujahari; Dilip Singh Sisodia (Expert Syst. Appl., 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)

Pair-wise Preference Relation based Probabilistic Matrix Factorization for Collaborative Filtering in Recommender System. - Abinash Pujahari; Dilip Singh Sisodia (Knowl. Based Syst., 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)

Preference relation based collaborative filtering with graph aggregation for group recommender system. - Abinash Pujahari; Dilip Singh Sisodia (Appl. Intell., 2021)

Automated FBSE-EWT based learning framework for detection of epileptic seizures using time-segmented EEG signals. - Arti Anuragi; Dilip Singh Sisodia; Ram Bilas Pachori (Comput. Biol. Medicine, 2021)

Prospecting the Effect of Topic Modeling in Information Retrieval. - Aakanksha Sharaff; Jitesh Kumar Dewangan; Dilip Singh Sisodia (Int. J. Semantic Web Inf. Syst., 2021)

Clickbait detection using multiple categorisation techniques. - Abinash Pujahari; Dilip Singh Sisodia (J. Inf. Sci., 2021)

Augmented sequence features and subcellular localization for functional characterization of unknown protein sequences. - Saurabh Agrawal 001; Dilip Singh Sisodia; Naresh Kumar Nagwani (Medical Biol. Eng. Comput., 2021)

Gradient boosting learning for fraudulent publisher detection in online advertising. - Deepti Sisodia; Dilip Singh Sisodia (Data Technol. Appl., 2021)

Feature space transformation of user-clicks and deep transfer learning framework for fraudulent publisher detection in online advertising. - Deepti Sisodia; Dilip Singh Sisodia (Appl. Soft Comput., 2022)

Epileptic-seizure classification using phase-space representation of FBSE-EWT based EEG sub-band signals and ensemble learners. - Arti Anuragi; Dilip Singh Sisodia; Ram Bilas Pachori (Biomed. Signal Process. Control., 2022)

Functional characterization of unknown protein sequences using Neuro-Fuzzy based machine learning approach and sequence augmented feature. - Saurabh Agrawal 001; Dilip Singh Sisodia; Naresh Kumar Nagwani (Expert Syst. Appl., 2022)

Item feature refinement using matrix factorization and boosted learning based user profile generation for content-based recommender systems. - Abinash Pujahari; Dilip Singh Sisodia (Expert Syst. Appl., 2022)

A novel discriminant feature selection-based mutual information extraction from MR brain images for Alzheimer's stages detection and prediction. - Venkatesh Gauri Shankar; Dilip Singh Sisodia; Preeti Chandrakar (Int. J. Imaging Syst. Technol., 2022)

EEG-based cross-subject emotion recognition using Fourier-Bessel series expansion based empirical wavelet transform and NCA feature selection method. - Arti Anuragi; Dilip Singh Sisodia; Ram Bilas Pachori (Inf. Sci., 2022)

Long short term memory based functional characterization model for unknown protein sequences using ensemble of shallow and deep features. - Saurabh Agrawal 001; Dilip Singh Sisodia; Naresh Kumar Nagwani (Neural Comput. Appl., 2022)

Directive clustering contrast-based multi-modality medical image fusion for smart healthcare system. - Manoj Diwakar; Prabhishek Singh; Achyut Shankar; Soumya Ranjan Nayak; Janmenjoy Nayak; S. Vimal 001; Ravinder Singh; Dilip Singh Sisodia (Netw. Model. Anal. Health Informatics Bioinform., 2022)

An optimized recommendation framework exploiting textual review based opinion mining for generating pleasantly surprising, novel yet relevant recommendations. - Rahul Shrivastava; Dilip Singh Sisodia; Naresh Kumar Nagwani; Upendra Roy BP (Pattern Recognit. Lett., 2022)

Utility optimization-based multi-stakeholder personalized recommendation system. - Rahul Shrivastava; Dilip Singh Sisodia; Naresh Kumar Nagwani (Data Technol. Appl., 2022)

Feature distillation and accumulated selection for automated fraudulent publisher classification from user click data of online advertising. - Deepti Sisodia; Dilip Singh Sisodia (Data Technol. Appl., 2022)

Handling Dynamic User Preferences Using Integrated Point and Distribution Estimations in Collaborative Filtering. - Abinash Pujahari; Dilip Singh Sisodia (IEEE Trans. Syst. Man Cybern. Syst., 2022)

A hybrid data-level sampling approach in learning from skewed user-click data for click fraud detection in online advertising. - Deepti Sisodia; Dilip Singh Sisodia (Expert Syst. J. Knowl. Eng., 2023)

Deep neural network-based multi-stakeholder recommendation system exploiting multi-criteria ratings for preference learning. - Rahul Shrivastava; Dilip Singh Sisodia; Naresh Kumar Nagwani (Expert Syst. Appl., 2023)

Ordinal consistency based matrix factorization model for exploiting side information in collaborative filtering. - Abinash Pujahari; Dilip Singh Sisodia (Inf. Sci., 2023)

Classification of focal and non-focal EEG signals using optimal geometrical features derived from a second-order difference plot of FBSE-EWT rhythms. - Arti Anuragi; Dilip Singh Sisodia; Ram Bilas Pachori (Artif. Intell. Medicine, 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)

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)

Stacked Generalization Architecture for Predicting Publisher Behaviour from Highly Imbalanced User-Click Data Set for Click Fraud Detection. - Deepti Sisodia; Dilip Singh Sisodia (New Gener. Comput., 2023)

An intelligent hierarchical residual attention learning-based conjoined twin neural network for Alzheimer's stage detection and prediction. - Venkatesh Gauri Shankar; Dilip Singh Sisodia; Preeti Chandrakar (Comput. Intell., 2023)

Modeling users' preference changes in recommender systems via time-dependent Markov random fields. - Abinash Pujahari; Dilip Singh Sisodia (Expert Syst. Appl., 2023)

A transfer learning framework towards identifying behavioral changes of fraudulent publishers in pay-per-click model of online advertising for click fraud detection. - Deepti Sisodia; Dilip Singh Sisodia (Expert Syst. Appl., 2023)

Composite Deep Learning Model with Augmented Features for Accurate Animal Sound Detection and Classification. - Dilip Singh Sisodia; Mihir Kumar Singh; Ishaan Singhal (CoDIT, 2024)

Multi-stakeholder recommendation system through deep learning-based preference evaluation and aggregation model with multi-view information embedding. - Rahul Shrivastava; Dilip Singh Sisodia; Naresh Kumar Nagwani (Inf. Process. Manag., 2024)

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)

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)

Mitigating the curse of dimensionality using feature projection techniques on electroencephalography datasets: an empirical review. - Arti Anuragi; Dilip Singh Sisodia; Ram Bilas Pachori (Artif. Intell. Rev., 2024)

Deep ensembled multi-criteria recommendation system for enhancing and personalizing the user experience on e-commerce platforms. - Rahul Shrivastava; Dilip Singh Sisodia; Naresh Kumar Nagwani (Knowl. Inf. Syst., 2024)

Deep learning-based modeling of stakeholders preferences and balancing through multi-objective optimization in a multi-stakeholder recommendation system. - Rahul Shrivastava; Dilip Singh Sisodia; Naresh Kumar Nagwani (Eng. Appl. Artif. Intell., 2025)

Exploiting diffusion-based structured learning for item interactions representations in multimodal recommender systems. - Nikhat Khan; Dilip Singh Sisodia (Inf. Process. Manag., 2025)

Preference-based crossover technique for optimizing conflicting objectives in multi-stakeholders recommendation systems. - Rahul Shrivastava; Dilip Singh Sisodia; Naresh Kumar Nagwani (Inf. Sci., 2025)

Multilevel characterization of unknown protein sequences using hierarchical long short term memory model. - Saurabh Agrawal 001; Dilip Singh Sisodia; Naresh Kumar Nagwani (Multim. Tools Appl., 2025)

Alzheimer's stage progression modeling using graph neural network and MRI biomarkers. - Venkatesh Gauri Shankar; Dilip Singh Sisodia; Preeti Chandrakar (Neural Comput. Appl., 2025)