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researcher

J. Kannan

4 papers hereh-index 314 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.SE4
same name
  • J. Kannan — 10 papers, h 4
  • J. Kannan — 1 paper, h 0

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20222024
most citedCan LLMs Configure Software Tools

1 citations · 1 across the 4 of their papers we have counts for

collaborators
Showing cs.SEShow all

4 papers · 1 filter

cs.SE2024

Green Runner: A tool for efficient deep learning component selection

Jai Kannan

For software that relies on machine-learned functionality, model selection is key to finding the right model for the task with desired performance characteristics. Evaluating a mod…

cs.SE2023★ 1 cited

Can LLMs Configure Software Tools

Jai Kannan

In software engineering, the meticulous configuration of software tools is crucial in ensuring optimal performance within intricate systems. However, the complexity inherent in sel…

cs.SE2023

Green Runner: A tool for efficient model selection from model repositories

Jai Kannan, Scott Barnett, Anj Simmons +2

Deep learning models have become essential in software engineering, enabling intelligent features like image captioning and document generation. However, their popularity raises co…

cs.SE2022

MLSmellHound: A Context-Aware Code Analysis Tool

Jai Kannan, Scott Barnett, Luís Cruz +2

Meeting the rise of industry demand to incorporate machine learning (ML) components into software systems requires interdisciplinary teams contributing to a shared code base. To ma…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.