From post

Cell Tracking According to Biological Needs - Strong Mitosis-Aware Multi- Hypothesis Tracker With Aleatoric Uncertainty.

, , и . IEEE Trans. Medical Imaging, 44 (12): 4826-4840 (декабря 2025)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

 

Другие публикации лиц с тем же именем

Deep Reinforcement Learning for Autonomous Driving using High-Level Heterogeneous Graph Representations., , и . ICRA, стр. 7147-7153. IEEE, (2023)Multi-Agent Reinforcement Learning for Inverse Design in Photonic Integrated Circuits., , , , , и . CoRR, (июня 2025)Constrained Mean Shift Clustering., , и . SDM, стр. 235-243. SIAM, (2022)Cell Tracking According to Biological Needs - Strong Mitosis-Aware Multi- Hypothesis Tracker With Aleatoric Uncertainty., , и . IEEE Trans. Medical Imaging, 44 (12): 4826-4840 (декабря 2025)Cell Tracking according to Biological Needs - Strong Mitosis-aware Random-finite Sets Tracker with Aleatoric Uncertainty., , и . CoRR, (2024)Learned Fourier Bases for Deep Set Feature Extractors in Automotive Reinforcement Learning., , и . ITSC, стр. 931-938. IEEE, (2023)Safe Resetless Reinforcement Learning: Enhancing Training Autonomy with Risk-Averse Agents., , и . ECCV Workshops (12), том 15634 из Lecture Notes in Computer Science, стр. 100-116. Springer, (2024)Explainable Reinforcement Learning via Dynamic Mixture Policies., , и . ICRA, стр. 13530-13536. IEEE, (2025)Multi-Agent Reinforcement Learning for Inverse Design in Photonic Integrated Circuits, , , , , и . Reinforcement Learning Journal, (2025)Reinforcement learning for ion shuttling on trapped-ion quantum computers., , , , , , и . CoRR, (мая 2026)