Publications for ARISE

List shows peer-reviewed publications resulting from the Kansas NSF EPSCoR RII Track-1 ARISE project. For questions or to add to the list, contact nsfepscor@ku.edu.

• Munikoti, S., Agarwal, D., Das, L. and Natarajan, B., 2023. A general framework for quantifying aleatoric and epistemic uncertainty in graph neural networks. Neurocomputing, 521, pp.1-10. doi.org/10.1016/j.neucom.2022.11.049
• Agarwal, D. and Natarajan, B., 2022, August. Active Learning for Node Classification using a Convex Optimization approach. In 2022 IEEE Eighth International Conference on Big Data Computing Service and Applications (BigDataService) (pp. 96-102). IEEE. DOI: 10.1109/BigDataService55688.2022.00022
• Shane Crawford, P., Mitrani-Reiser, J., Sutley, E.J., Do, T.Q., Tomiczek, T., Nofal, O.M., Weigand, J.M., Watson, M., Van De Lindt, J.W. and Graettinger, A.J., 2022. A Measurement Approach to Develop Flood-Based Damage Fragilities for Residential Buildings Following Repeat Inundation Events. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 8(2), p.04022019. DOI: 10.1061/AJRUA6.0001219
• Enderami, S.A., Mazumder, R.K., Dumler, M., and Sutley, E.J., 2022. Virtual Testbeds for Community Resilience Analysis: State-of-the-Art Review, Consensus Study, and Recommendations. Natural Hazards Review, 23:4, November 2022, DOI: 10.1061/(ASCE)NH.1527-6996.0000582; https://ascelibrary.org/doi/10.1061/%28ASCE%29NH.1527-6996.0000582
• Munikoti, S., Abujubbeh, M. and Natarajan, B., 2022. Robustness of Power Distribution System: A Comparative Study of Network and Performance Based Metrics. IEEE Access, 10, pp.82531-82539, https://ieeexplore.ieee.org/abstract/document/9847212
• Tomiczek, T., Helgeson, J., Sutley, E., Gu, D., Hamideh, S. and Crawford, P.S., 2023. A Framework for Characterizing Uncertainty Factors in Postdisaster Structural Performance Assessment Data. Natural Hazards Review, 24(1), p.02522001. DOI: 10.1061/(ASCE)NH.1527-6996.0000604