Sangeeta Dey
Orcid: 0000-0002-8991-3046
According to our database1,
Sangeeta Dey
authored at least 10 papers
between 2015 and 2023.
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Bibliography
2023
A Multi-layered Collaborative Framework for Evidence-driven Data Requirements Engineering for Machine Learning-based Safety-critical Systems.
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023
2022
Computational Music Science, Springer, ISBN: 978-3-030-85189-7, 2022
Evaluation of an artificial intelligence-based medical device for diagnosis of autism spectrum disorder.
npj Digit. Medicine, 2022
Evidence-driven Data Requirements Engineering and Data Uncertainty Assessment of Machine Learning-based Safety-critical Systems.
Proceedings of the 30th IEEE International Requirements Engineering Conference, 2022
Are We Training with The Right Data? Evaluating Collective Confidence in Training Data using Dempster Shafer Theory.
Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: New Ideas and Emerging Results ICSE (NIER) 2022, 2022
2021
Computational Music Science, Springer, ISBN: 978-3-030-85628-1, 2021
Multilayered review of safety approaches for machine learning-based systems in the days of AI.
J. Syst. Softw., 2021
2019
Proceedings of the 27th IEEE International Requirements Engineering Conference Workshops, 2019
2017
REASSURE: Requirements elicitation for adaptive socio-technical systems using repertory grid.
Inf. Softw. Technol., 2017
2015
From requirements elicitation to variability analysis using repertory grid: A cognitive approach.
Proceedings of the 23rd IEEE International Requirements Engineering Conference, 2015