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ORCIDCatherine Schwartz
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Books and Theses
- 2021
[b1]Catherine Schwartz:
Analyzing Semi-Local Link Cohesion to Detect Communities and Anomalies in Complex Networks. University of Maryland, College Park, MD, USA, 2021
Journal Articles
- 2023
- [j1]Wasifur Rahman, Abdelrahman Abdelkader
, Sangwu Lee, Phillip T. Yang, Md. Saiful Islam, T. M. Tariq Adnan, Masum Hasan, Ellen Wagner, Sooyong Park, Earl Ray Dorsey, Catherine Schwartz, Karen Jaffe, Mohammed E. Hoque:
A User-Centered Framework to Empower People with Parkinson's Disease. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(4): 175:1-175:29 (2023)
Conference and Workshop Papers
- 2023
- [c2]Catherine Schwartz, Cetin Savkli, Amanda Galante, Wojciech Czaja:
Tailoring Benchmark Graphs to Real-World Networks for Improved Prediction of Community Detection Performance. COMPLEX NETWORKS (2) 2023: 108-120 - 2019
- [c1]Cetin Savkli, Catherine Schwartz, Amanda Galante, Jonathan Cohen:
Novel Edge and Density Metrics for Link Cohesion. COMPLEX NETWORKS (1) 2019: 52-63
Informal and Other Publications
- 2024
- [i3]Md Saiful Islam, T. M. Tariq Adnan, Jan Freyberg, Sangwu Lee, Abdelrahman Abdelkader, Meghan Pawlik, Cathe Schwartz, Karen Jaffe, Ruth B. Schneider, Earl Ray Dorsey, Ehsan Hoque:
Accessible, At-Home Detection of Parkinson's Disease via Multi-task Video Analysis. CoRR abs/2406.14856 (2024) - 2021
- [i2]Cetin Savkli, Catherine Schwartz:
Random Subspace Mixture Models for Interpretable Anomaly Detection. CoRR abs/2108.06283 (2021) - 2020
- [i1]Cetin Savkli, Catherine Schwartz, Amanda Galante, Jonathan Cohen:
Novel Edge and Density Metrics for Link Cohesion. CoRR abs/2003.02999 (2020)
Coauthor Index
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