Jayesh Soni

A Multi-time-scale Time Series Analysis for Click Fraud Forecasting using Binary Labeled Imbalanced Dataset

S.S. Iyengar, Kianoosh G. Boroojeni, S. S. Iyengar, 2019, 2019 4th International Conference on Computational Systems and Information Technology for Sustainable Solution (CSITSS).

Learning-based models to detect runtime phishing activities using URLs

Himanshu Upadhyay, Jayesh Soni, Surya Srikar Sirigineedi, 2020, ICCDA.

A Study to assess the Effectiveness of Information Booklet on Knowledge regarding First aid and Safety Measure among Early Adolescent age (10 – 14 years) Children in selected schools at Udaipur

Jayesh Soni, N. Soni, 2021, International Journal of Nursing Education and Research.

Comparative Analysis of LSTM, One-Class SVM, and PCA to Monitor Real-Time Malware Threats Using System Call Sequences and Virtual Machine Introspection

Himanshu Upadhyay, Nagarajan Prabakar, Suresh K. Peddoju, 2021 .

Identifying Groups of Fake Reviewers Using a Semisupervised Approach

Marimuthu Palaniswami, Paolo Santi, Punit Rathore, 2021, IEEE Transactions on Computational Social Systems.

An Efficient LSTM Model for Fake News Detection

Jayesh Soni, 2022, Computer Science & Engineering: An International Journal.

Behavioral Analysis of System Call Sequences Using LSTM Seq-Seq, Cosine Similarity and Jaccard Similarity for Real-Time Anomaly Detection

Himanshu Upadhyay, Nagarajan Prabakar, Jayesh Soni, 2019, 2019 International Conference on Computational Science and Computational Intelligence (CSCI).

Visualizing High-Dimensional Data Using t-Distributed Stochastic Neighbor Embedding Algorithm

Himanshu Upadhyay, Nagarajan Prabakar, Jayesh Soni, 2020 .

Effective Machine Learning Approach to Detect Groups of Fake Reviewers

Jayesh Soni, 2018 .

Learning-Based Model to Fight against Fake Like Clicks on Instagram Posts

S.S. Iyengar, S. S. Iyengar, N.R. Sunitha, 2019, 2019 SoutheastCon.