Shubham Kulkarni

According to our database, Shubham Kulkarni authored at least 10 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

All Required, In Order: Phase-Level Evaluation for AI-Human Dialogue in Healthcare and Beyond.

Shubham Kulkarni, Alexander Lyzhov, Shiva Chaitanya, Preetam Joshi

CoRR, January, 2026

INSURE-Dial: A Phase-Aware Conversational Dataset Benchmark for Compliance Verification and Phase Detection.

Shubham Kulkarni, Alexander Lyzhov, Preetam Joshi, Shiva Chaitanya

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2024

SWITCH: An Exemplar for Evaluating Self-Adaptive ML-Enabled Systems.

Arya Marda, Shubham Kulkarni, Karthik Vaidhyanathan

Proceedings of the 19th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 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

Proceedings of the 2024 ACM on Internet Measurement Conference, 2024

EcoMLS: A Self-Adaptation Approach for Architecting Green ML-Enabled Systems.

Meghana Tedla, Shubham Kulkarni, Karthik Vaidhyanathan

Proceedings of the 21st IEEE International Conference on Software Architecture, 2024

Reimagining Self-Adaptation in the Age of Large Language Models.

Raghav Donakanti, Prakhar Jain, Shubham Kulkarni, Karthik Vaidhyanathan

Proceedings of the 21st IEEE International Conference on Software Architecture, 2024

2023

Visual Expertise Explains Image Inversion Effects.

Martha Gahl, Shubham Kulkarni, Nikhil Pathak, Alex Russell, Garrison W. Cottrell

Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, 2023

Towards Self-Adaptive Machine Learning-Enabled Systems Through QoS-Aware Model Switching.

Shubham Kulkarni, Arya Marda, Karthik Vaidhyanathan

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Self-Supervised Audio Encoder with Contrastive Pretraining for Respiratory Anomaly Detection.

Shubham Kulkarni, Hideaki Watanabe, Fuminori Homma

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Improved Filter Ranking Incorporated Binary Black Hole Algorithm for Feature Selection.

Prasad Ovhal, Shubham Kulkarni, Jayaraman K. Valadi

SN Comput. Sci., 2022