High Accuracy Predictive Modelling for Customer Churn Prediction in Telecom Industry. - R. Prashanth; K. Deepak; Amit Kumar Meher (MLDM, 2017)

Autocorrelation of gradients based violence detection in surveillance videos. - K. Deepak; L. K. P. Vignesh; S. Chandrakala 001 (ICT Express, 2020)

A Similarity Based Representation for Identifying Healthcare Anomalous Activities. - K. Deepak; Mohamed Yacin Sikkandar; S. Siddharth; S. Chandrakala 001 (J. Medical Imaging Health Informatics, 2020)

Deep Multi-view Representation Learning for Video Anomaly Detection Using Spatiotemporal Autoencoders. - K. Deepak; G. Srivathsan; S. Roshan; S. Chandrakala 001 (Circuits Syst. Signal Process., 2021)

Residual Spatiotemporal Autoencoder with Skip Connected and Memory Guided Network for Detecting Video Anomalies. - S. Chandrakala 001; V. Srinivas; K. Deepak (Neural Process. Lett., 2021)

Residual spatiotemporal autoencoder for unsupervised video anomaly detection. - K. Deepak; S. Chandrakala 001; C. Krishna Mohan (Signal Image Video Process., 2021)

Bag-of-Event-Models based embeddings for detecting anomalies in surveillance videos. - S. Chandrakala 001; K. Deepak; L. K. P. Vignesh (Expert Syst. Appl., 2022)

Object-centric and memory-guided network-based normality modeling for video anomaly detection. - S. Chandrakala 001; P. Shalmiya; V. Srinivas; K. Deepak (Signal Image Video Process., 2022)

Anomaly detection in surveillance videos: a thematic taxonomy of deep models, review and performance analysis. - S. Chandrakala 001; K. Deepak; G. Revathy (Artif. Intell. Rev., 2023)

Shallow and Deep Learning Based Approaches for Malicious URL Detection: A Comprehensive Performance Evaluation. - S. Dinakar; K. Deepak (ICCCNT, 2024)

Appearance-Trajectory Network for Video Anomaly Detection System. - K. Ram Prasath; V. Sowmya 001; K. Deepak; B. Premjith; G. Jyothish Lal (ICCCNT, 2024)

Batch Normalization Free Rigorous Feature Flow Neural Network for Grocery Product Recognition. - Prabu Selvam; Muhammad Faheem 003; Vidyabharathi Dakshinamurthi; Akshaj Nevgi; R. Bhuvaneswari; K. Deepak; Joseph Abraham Sundar Koilraj (IEEE Access, 2024)