Improved Filter Ranking Incorporated Binary Black Hole Algorithm for Feature Selection. - Prasad Ovhal; Shubham Kulkarni; Jayaraman K. Valadi (SN Comput. Sci., 2022)

Self-Supervised Audio Encoder with Contrastive Pretraining for Respiratory Anomaly Detection. - Shubham Kulkarni; Hideaki Watanabe; Fuminori Homma (ICASSP Workshops, 2023)

Towards Self-Adaptive Machine Learning-Enabled Systems Through QoS-Aware Model Switching. - Shubham Kulkarni; Arya Marda; Karthik Vaidhyanathan (ASE, 2023)

Visual Expertise Explains Image Inversion Effects. - Martha Gahl; Shubham Kulkarni; Nikhil Pathak; Alex Russell; Garrison W. Cottrell (UniReps, 2023)

Reimagining Self-Adaptation in the Age of Large Language Models. - Raghav Donakanti; Prakhar Jain; Shubham Kulkarni; Karthik Vaidhyanathan (ICSA-C, 2024)

EcoMLS: A Self-Adaptation Approach for Architecting Green ML-Enabled Systems. - Meghana Tedla; Shubham Kulkarni; Karthik Vaidhyanathan (ICSA-C, 2024)

DarkSim: A similarity-based time-series analytic framework for darknet traffic. - Max Gao; Ricky K. P. Mok; Esteban Carisimo; Eric Li; Shubham Kulkarni; K. C. Claffy (IMC, 2024)

SWITCH: An Exemplar for Evaluating Self-Adaptive ML-Enabled Systems. - Arya Marda; Shubham Kulkarni; Karthik Vaidhyanathan (SEAMS@ICSE, 2024)