Zobrazeno 1 - 10
of 532
pro vyhledávání: '"Popović, Miloš A."'
Diabetic foot ulcers (DFUs) are a leading cause of hospitalizations and lower limb amputations, placing a substantial burden on patients and healthcare systems. Early detection and accurate classification of DFUs are critical for preventing serious c
Externí odkaz:
http://arxiv.org/abs/2410.01989
Conditional Flow Matching (CFM) models can generate high-quality samples from a non-informative prior, but they can be slow, often needing hundreds of network evaluations (NFE). To address this, we propose Implicit Dynamical Flow Fusion (IDFF); IDFF
Externí odkaz:
http://arxiv.org/abs/2409.14599
Autor:
Basiri, Reza, Manji, Karim, Harton, Francois, Poonja, Alisha, Popovic, Milos R., Khan, Shehroz S.
Diabetic Foot Ulcer (DFU) is a serious skin wound requiring specialized care. However, real DFU datasets are limited, hindering clinical training and research activities. In recent years, generative adversarial networks and diffusion models have emer
Externí odkaz:
http://arxiv.org/abs/2310.20140
Autor:
Cohen, Lucas M., Fatema, Saleha, Wankhade, Vivek V., Lingaraju, Navin B., Zhang, Bohan, Onural, Deniz, Popovic, Milos, Weiner, Andrew M.
In this work, we describe a procedure for synthesizing racetrack resonators with large quality factors and apply it to realize a multi-channel wavelength-selective switch (WSS) on a silicon photonic chip. We first determine the contribution of each c
Externí odkaz:
http://arxiv.org/abs/2309.17222
Publikováno v:
Journal of Health Informatics Research, 2024
Epilepsy affects more than 50 million people worldwide, making it one of the world's most prevalent neurological diseases. The main symptom of epilepsy is seizures, which occur abruptly and can cause serious injury or death. The ability to predict th
Externí odkaz:
http://arxiv.org/abs/2304.14922
Publikováno v:
Comparative Politics, 2022 Apr 01. 54(3), 525-4.
Externí odkaz:
https://www.jstor.org/stable/27161838
The state-space models (SSMs) are widely utilized in the analysis of time-series data. SSMs rely on an explicit definition of the state and observation processes. Characterizing these processes is not always easy and becomes a modeling challenge when
Externí odkaz:
http://arxiv.org/abs/2205.10947
Autor:
Rabelo, Thallita K., Campos, Ana Carolina P., Almeida Souza, Thiago H., Mahmud, Faiza, Popovic, Milos R., Covolan, Luciene, Betta, Victor H.C., DaCosta, Leodante, Lipsman, Nir, Diwan, Mustansir, Hamani, Clement
Publikováno v:
In Brain Stimulation November-December 2024 17(6):1186-1196
Autor:
Tian, Yupeng, Murphy, Matthew J.H., Steiner, Leon A., Kalia, Suneil K., Hodaie, Mojgan, Lozano, Andres M., Hutchison, William D., Popovic, Milos R., Milosevic, Luka, Lankarany, Milad
Publikováno v:
In Neuromodulation: Technology at the Neural Interface April 2024 27(3):464-475
A community-powered search of machine learning strategy space to find NMR property prediction models
Autor:
Bratholm, Lars A., Gerrard, Will, Anderson, Brandon, Bai, Shaojie, Choi, Sunghwan, Dang, Lam, Hanchar, Pavel, Howard, Addison, Huard, Guillaume, Kim, Sanghoon, Kolter, Zico, Kondor, Risi, Kornbluth, Mordechai, Lee, Youhan, Lee, Youngsoo, Mailoa, Jonathan P., Nguyen, Thanh Tu, Popovic, Milos, Rakocevic, Goran, Reade, Walter, Song, Wonho, Stojanovic, Luka, Thiede, Erik H., Tijanic, Nebojsa, Torrubia, Andres, Willmott, Devin, Butts, Craig P., Glowacki, David R., participants, Kaggle
The rise of machine learning (ML) has created an explosion in the potential strategies for using data to make scientific predictions. For physical scientists wishing to apply ML strategies to a particular domain, it can be difficult to assess in adva
Externí odkaz:
http://arxiv.org/abs/2008.05994