Zobrazeno 1 - 10
of 4 905
pro vyhledávání: '"A. Stojanov"'
Publikováno v:
European Psychiatry, Vol 66, Pp S726-S726 (2023)
Introduction Non-psychotic postpartum psychiatric disorders (NPPDs) are among the most common underdiagnosed mental disorders with a preserved reality test after delivery. Objectives NPPDs have been shown to have an association with infant growth, at
Externí odkaz:
https://doaj.org/article/07e194704de5429096747b230109eb4d
Autor:
Sun, Yuewen, Kong, Lingjing, Chen, Guangyi, Li, Loka, Luo, Gongxu, Li, Zijian, Zhang, Yixuan, Zheng, Yujia, Yang, Mengyue, Stojanov, Petar, Segal, Eran, Xing, Eric P., Zhang, Kun
Prevalent in biological applications (e.g., human phenotype measurements), multimodal datasets can provide valuable insights into the underlying biological mechanisms. However, current machine learning models designed to analyze such datasets still l
Externí odkaz:
http://arxiv.org/abs/2411.06518
Autor:
J. Stojanov, A. Stojanov
Publikováno v:
European Psychiatry, Vol 65, Pp S380-S381 (2022)
Introduction Health care professionals exposed to coronavirus disease 2019 (COVID-19) are facing high levels of stress. Objectives The aim was to evaluate the quality of sleep (QoS) and health-related quality of life (HRQoL), among health care profe
Externí odkaz:
https://doaj.org/article/318a353691d64daa91658ca17be2748e
Autor:
Boote, Bikram, Thai, Anh, Jia, Wenqi, Kara, Ozgur, Stojanov, Stefan, Rehg, James M., Lee, Sangmin
Point tracking is a fundamental problem in computer vision with numerous applications in AR and robotics. A common failure mode in long-term point tracking occurs when the predicted point leaves the object it belongs to and lands on the background or
Externí odkaz:
http://arxiv.org/abs/2409.05786
3D object part segmentation is essential in computer vision applications. While substantial progress has been made in 2D object part segmentation, the 3D counterpart has received less attention, in part due to the scarcity of annotated 3D datasets, w
Externí odkaz:
http://arxiv.org/abs/2407.09648
Autor:
Long, Bria, Xiang, Violet, Stojanov, Stefan, Sparks, Robert Z., Yin, Zi, Keene, Grace E., Tan, Alvin W. M., Feng, Steven Y., Zhuang, Chengxu, Marchman, Virginia A., Yamins, Daniel L. K., Frank, Michael C.
Human children far exceed modern machine learning algorithms in their sample efficiency, achieving high performance in key domains with much less data than current models. This ''data gap'' is a key challenge both for building intelligent artificial
Externí odkaz:
http://arxiv.org/abs/2406.10447
Gene regulatory network inference (GRNI) is a challenging problem, particularly owing to the presence of zeros in single-cell RNA sequencing data: some are biological zeros representing no gene expression, while some others are technical zeros arisin
Externí odkaz:
http://arxiv.org/abs/2403.15500
We study the problem of single-image zero-shot 3D shape reconstruction. Recent works learn zero-shot shape reconstruction through generative modeling of 3D assets, but these models are computationally expensive at train and inference time. In contras
Externí odkaz:
http://arxiv.org/abs/2312.14198
This paper introduces Low-shot Object Learning with Mutual Exclusivity Bias (LSME), the first computational framing of mutual exclusivity bias, a phenomenon commonly observed in infants during word learning. We provide a novel dataset, comprehensive
Externí odkaz:
http://arxiv.org/abs/2312.03533
Autor:
Daniela Brune, Thomas Stojanov, Andreas Marc Müller, David Weibel, Sabina Hunziker, Stephanie Erdbrink, ARCR_Pred Study Group, Laurent Audigé
Publikováno v:
BMC Musculoskeletal Disorders, Vol 25, Iss 1, Pp 1-12 (2024)
Abstract Background Assessing health-related quality of life (HRQoL) is a widely employed method in orthopedics to evaluate patient well-being and measure the effectiveness of surgical interventions. Understanding the relationship between specific ba
Externí odkaz:
https://doaj.org/article/51d16eaf02784b3d9de8e4d6ae949080