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Ramneet Kaur
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2020 – today
- 2024
- [j2]Yahan Yang
, Ramneet Kaur
Memory-based Distribution Shift Detection for Learning Enabled Cyber-Physical Systems with Statistical Guarantees. ACM Trans. Cyber Phys. Syst. 8(2): 21 (2024) - [c9]Jean Park, Sydney Pugh, Kaustubh Sridhar, Mengyu Liu, Navish Yarna, Ramneet Kaur, Souradeep Dutta, Elena Bernardis, Oleg Sokolsky, Insup Lee:
Automating Weak Label Generation for Data Programming with Clinicians in the Loop. CHASE 2024: 25-36 - [i10]Jean Park, Sydney Pugh, Kaustubh Sridhar, Mengyu Liu, Navish Yarna, Ramneet Kaur, Souradeep Dutta, Elena Bernardis, Oleg Sokolsky, Insup Lee:
Automating Weak Label Generation for Data Programming with Clinicians in the Loop. CoRR abs/2407.07982 (2024) - 2023
- [j1]Ramneet Kaur, Deepali Gupta, Mani Madhukar:
Learner-Centric Hybrid Filtering-Based Recommender System for Massive Open Online Courses. Int. J. Perform. Eng. 19(5): 324 (2023) - [c8]Ramneet Kaur, Susmit Jha, Anirban Roy, Oleg Sokolsky, Insup Lee:
Predicting Out-of-Distribution Performance of Deep Neural Networks Using Model Conformance. ICAA 2023: 19-28 - [c7]Ramneet Kaur
CODiT: Conformal Out-of-Distribution Detection in Time-Series Data for Cyber-Physical Systems. ICCPS 2023: 120-131 - [c6]Sydney Pugh
Automated Labeling Function Generation using Distance Functions for Physiological Alarm Suppression. ICCPS 2023: 249-250 - [i9]Ramneet Kaur, Xiayan Ji, Souradeep Dutta, Michele Caprio
Using Semantic Information for Defining and Detecting OOD Inputs. CoRR abs/2302.11019 (2023) - [i8]Ramneet Kaur, Yiannis Kantaros, Wenwen Si, James Weimer, Insup Lee:
Detection of Adversarial Physical Attacks in Time-Series Image Data. CoRR abs/2304.13919 (2023) - 2022
- [c5]Ramneet Kaur, Susmit Jha, Anirban Roy, Sangdon Park, Edgar Dobriban, Oleg Sokolsky, Insup Lee:
iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection. AAAI 2022: 7104-7114 - [c4]Yahan Yang, Ramneet Kaur, Souradeep Dutta, Insup Lee:
Interpretable Detection of Distribution Shifts in Learning Enabled Cyber-Physical Systems. ICCPS 2022: 225-235 - [i7]Ramneet Kaur, Susmit Jha, Anirban Roy, Sangdon Park, Edgar Dobriban, Oleg Sokolsky, Insup Lee:
iDECODe: In-distribution Equivariance for Conformal Out-of-distribution Detection. CoRR abs/2201.02331 (2022) - [i6]Kaustubh Sridhar, Souradeep Dutta, Ramneet Kaur, James Weimer, Oleg Sokolsky, Insup Lee:
Towards Alternative Techniques for Improving Adversarial Robustness: Analysis of Adversarial Training at a Spectrum of Perturbations. CoRR abs/2206.06496 (2022) - [i5]Ramneet Kaur, Kaustubh Sridhar, Sangdon Park, Susmit Jha, Anirban Roy, Oleg Sokolsky, Insup Lee:
CODiT: Conformal Out-of-Distribution Detection in Time-Series Data. CoRR abs/2207.11769 (2022) - 2021
- [i4]Ramneet Kaur, Susmit Jha, Anirban Roy, Oleg Sokolsky, Insup Lee:
Are all outliers alike? On Understanding the Diversity of Outliers for Detecting OODs. CoRR abs/2103.12628 (2021) - [i3]Ramneet Kaur, Susmit Jha, Anirban Roy, Sangdon Park, Oleg Sokolsky, Insup Lee:
Detecting OODs as datapoints with High Uncertainty. CoRR abs/2108.06380 (2021) - 2020
- [c3]Ramneet Kaur, Radoslav Ivanov, Matthew Cleaveland, Oleg Sokolsky, Insup Lee:
Assurance Case Patterns for Cyber-Physical Systems with Deep Neural Networks. SAFECOMP Workshops 2020: 82-97
2010 – 2019
- 2019
- [c2]Teng Zhang, Ramneet Kaur, Insup Lee, Oleg Sokolsky:
Runtime Verification of Parametric Properties Using SMEDL. From Reactive Systems to Cyber-Physical Systems 2019: 276-293 - 2018
- [c1]Nima Roohi, Ramneet Kaur, James Weimer, Oleg Sokolsky, Insup Lee:
Parameter Invariant Monitoring for Signal Temporal Logic. HSCC 2018: 187-196 - [i2]Nima Roohi, Ramneet Kaur, James Weimer, Oleg Sokolsky, Insup Lee:
Self-Driving Vehicle Verification Towards a Benchmark. CoRR abs/1806.08810 (2018) - 2013
- [i1]Ramneet Kaur, Balwinder Singh:
Design and Implementation of Car Parking System on FPGA. CoRR abs/1307.3051 (2013)
Coauthor Index
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