Neural network based smart vision system for driver assistance in extracting traffic signposts. - Meeta Kumar; Jayshree Ghorpade; Vrushali Y. Kulkarni; Rajni Bedi (CUBE, 2012)

Analyzing Random Forest Classifier with Different Split Measures. - Vrushali Y. Kulkarni; Manisha Petare; Pradeep Kumar Sinha (SocProS, 2012)

Fingerprint classification and building a gender prediction model using random forest algorithm. - Aruna Sreekumaran Pisharody; Shweta Pargaonkar; Vrushali Y. Kulkarni (Int. J. Knowl. Eng. Data Min., 2015)

Risk Evaluation of X.509 Certificates - A Machine Learning Application. - Varsharani Hawanna; Vrushali Y. Kulkarni; Rashmi Rane; Pooja Joshi (ICISS, 2016)

Effect of Soil and Climatic Attribute on Greenhouse Gas Emission from Agriculture Sector. - Pranali K. Kosamkar; Vrushali Y. Kulkarni (FICTA (1), 2020)

Information Retrieval for Cloud Forensics. - Prasad Purnaye; Vrushali Y. Kulkarni (FICTA (1), 2021)

Explainable AI for Deep Learning Based Disease Detection. - Shakti Kinger; Vrushali Y. Kulkarni (IC3, 2021)

OpenNebula Virtual Machine Profiling for Intrusion Detection System. - Prasad Purnaye; Vrushali Y. Kulkarni (IEEE DataPort, 2021)

BiSHM: Evidence detection and preservation model for cloud forensics. - Prasad Purnaye; Vrushali Y. Kulkarni (Open Comput. Sci., 2022)

Evidence Detection in Cloud Forensics. - Prasad Purnaye; Vrushali Y. Kulkarni (IEEE DataPort, 2022)

Dragon Fruit Image Dataset. - Chanavi Singh; Purva Ingle; Vedant Modi; Pranali K. Kosamkar; Vrushali Y. Kulkarni (IEEE DataPort, 2022)

Memory Dumps of Virtual Machines for Cloud Forensics. - Prasad Purnaye; Vrushali Y. Kulkarni (IEEE DataPort, 2022)

Transparent and trustworthy interpretation of COVID-19 features in chest X-rays using explainable AI. - Shakti Kinger; Vrushali Y. Kulkarni (Multim. Tools Appl., 2025)