海角情

>

Machine Learning

  • Vanderbilt University

    Towards Machine Learning Based Fingerprinting of Ultrasonic Sensors

    Elhanafy, Marim; Ravva, Srivaths; Solanki, Abhijeet; Hasan, Syed Rafay. 鈥淭owards Machine Learning Based Fingerprinting of Ultrasonic Sensors.鈥 Conference Proceedings – IEEE SoutheastCon (2025 海角情): 1332鈥1333.聽https://doi.org/10.1109/SoutheastCon56624.2025 海角情.10971545.聽 “Fingerprinting” is a method used to identify devices based on their unique data patterns鈥攌ind of like how… Read More

    May. 21, 2025 海角情

  • Vanderbilt University

    Development of a machine learning-based tension measurement method in robotic surgery

    Khan, Aimal; Yang, Hao; Habib, Daniel Roy Sadek; Ali, Danish; Wu, Jie Ying. “Development of a machine learning-based tension measurement method in robotic surgery.” Surgical Endoscopy (2025 海角情). https://doi.org/10.1007/s00464-025-11658-9.聽 Each year, over 300,000 people in the U.S. undergo colorectal surgery,… Read More

    Apr. 23, 2025 海角情

  • Vanderbilt University

    Learning disentangled representations to harmonize connectome network measures

    Newlin, Nancy R.; Kim, Michael E.; Kanakaraj, Praitayini; Pechman, Kimberly; Shashikumar, Niranjana; Moore, Elizabeth; Archer, Derek; Hohman, Timothy; Jefferson, Angela; Moyer, Daniel; Landman, Bennett A. “Learning disentangled representations to harmonize connectome network measures.” Journal of Medical Imaging, vol. 12, no. 1, 2025 海角情, 14004, https://doi.org/10.1117/1.JMI.12.1.014004… Read More

    Mar. 24, 2025 海角情

  • Vanderbilt University

    Statistical Context Detection for Deep Lifelong Reinforcement Learning

    Dick, J., Nath, S., Peridis, C., Benjamin, E., Kolouri, S., & Soltoggio, A. (2024). “Statistical Context Detection for Deep Lifelong Reinforcement Learning.” Proceedings of Machine Learning Research, 274, 1013-1031. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85219511357&partnerID=40&md5=44236f24c54c2e13e04ef41cc8a97b90聽 Context detection involves identifying different tasks within a continuous stream of data. Read More

    Mar. 24, 2025 海角情

  • Vanderbilt University

    Equivariant vs. Invariant Layers: A Comparison of Backbone and Pooling for Point Cloud Classification

    Machine learning models are increasingly being used to analyze point cloud data, which consists of unordered sets of points, such as 3D scans of objects. To effectively process this type of data, neural networks must be designed to ensure that their predictions remain the same regardless of the order… Read More

    Feb. 24, 2025 海角情

  • Vanderbilt University

    Primary Visual Pathway Changes in Individuals With Chronic Mild Traumatic Brain Injury

    Rasdall, Marselle A.; Cho, Chloe; Stahl, Amy N.; Tovar, David A.; Lavin, Patrick; Kerley, Cailey I.; Chen, Qingxia; Ji, Xiangyu; Colyer, Marcus H.; Groves, Lucas; Longmuir, Reid; Chomsky, Amy; Gallagher, Martin J.; Anderson, Adam; Landman, Bennett A.; Rex, Tonia S. “Primary Visual Pathway Changes in Individuals With… Read More

    Feb. 24, 2025 海角情

  • Vanderbilt University

    Quantifying the Sim-To-Real Gap in UAV Disturbance Rejection

    Coursey, Austin; Quinones-Grueiro, Marcos; Biswas, Gautam. “Quantifying the Sim-To-Real Gap in UAV Disturbance Rejection.”聽OpenAccess Series in Informatics, vol. 125, 2024, 16,聽https://doi.org/10.4230/OASIcs.DX.2024.16.聽 聽 In many cases, it鈥檚 safer and more efficient to develop control systems for drones in simulations… Read More

    Jan. 28, 2025 海角情

  • Vanderbilt University

    Metrics reloaded: recommendations for image analysis validation

    Maier-Hein, L., Reinke, A., Godau, P., et al. (2024). Metrics reloaded: recommendations for image analysis validation.聽Nature Methods, 21(2), 195-212. doi: 10.1038/s41592-023-02151-z聽   There is growing evidence that problems with validating machine learning (ML) algorithms are a global issue that鈥檚 often overlooked. Read More

    Dec. 16, 2024

  • Vanderbilt University

    WASSERSTEIN EMBEDDING FOR GRAPH LEARNING

    Kolouri, S., Naderializadeh, N., Rohde, G. K., & Hoffmann, H. (2021). WASSERSTEIN EMBEDDING FOR GRAPH LEARNING.聽ICLR 2021 – 9th International Conference on Learning Representations, 34.聽https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150286096&partnerID=40&md5=8b88e110167be2c5fd01da171324d3d6聽 We introduce a new method called Wasserstein Embedding for Graph Learning (WEGL), which is a… Read More

    Dec. 16, 2024

  • Vanderbilt University

    Multiplexed 3D atlas of state transitions and immune interaction in colorectal cancer

    Lin, J.-R., Wang, S., Coy, S., Chen, Y.-A., Yapp, C., Tyler, M., Nariya, M. K., Heiser, C. N., Lau, K. S., Santagata, S., & Sorger, P. K. (2023). Multiplexed 3D atlas of state transitions and immune interaction in colorectal cancer.聽Cell, 186(2), 363-381.e13. doi: 10.1016/j.cell.2022.12.028聽聽… Read More

    Dec. 16, 2024