自慰视频

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): 1332鈥�1333.聽https://doi.org/10.1109/SoutheastCon56624.2025.10971545.聽 “Fingerprinting” is a method used to identify devices based on their unique data patterns鈥攌ind of like how… Read More

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). 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

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, 14004, https://doi.org/10.1117/1.JMI.12.1.014004… Read More

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

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

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

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

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

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

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