Zobrazeno 1 - 10
of 1 601
pro vyhledávání: '"Ryser, P."'
The structure of many real-world datasets is intrinsically hierarchical, making the modeling of such hierarchies a critical objective in both unsupervised and supervised machine learning. Recently, novel approaches for hierarchical clustering with de
Externí odkaz:
http://arxiv.org/abs/2410.07858
Multi-state models of cancer natural history are widely used for designing and evaluating cancer early detection strategies. Calibrating such models against longitudinal data from screened cohorts is challenging, especially when fitting non-Markovian
Externí odkaz:
http://arxiv.org/abs/2408.14625
Anomaly detection focuses on identifying samples that deviate from the norm. When working with high-dimensional data such as images, a crucial requirement for detecting anomalous patterns is learning lower-dimensional representations that capture con
Externí odkaz:
http://arxiv.org/abs/2405.18848
We propose Tree Variational Autoencoder (TreeVAE), a new generative hierarchical clustering model that learns a flexible tree-based posterior distribution over latent variables. TreeVAE hierarchically divides samples according to their intrinsic char
Externí odkaz:
http://arxiv.org/abs/2306.08984
Partitioning a set of elements into an unknown number of mutually exclusive subsets is essential in many machine learning problems. However, assigning elements, such as samples in a dataset or neurons in a network layer, to an unknown and discrete nu
Externí odkaz:
http://arxiv.org/abs/2305.16841
Publikováno v:
Methods in Ecology and Evolution, Vol 15, Iss 9, Pp 1704-1719 (2024)
Abstract The functional response describes feeding rates of consumers as a function of resource density. While models for feeding on a single resource species are well studied and supported by a large body of empirical research, consumers feeding on
Externí odkaz:
https://doaj.org/article/732b44d5ec094e8db6870eba169ce086
Autor:
Elissa M. Ozanne, Kellyn Maves, Angela C. Tramontano, Thomas Lynch, Alastair Thompson, Ann Partridge, Elizabeth Frank, Deborah Collyar, Desiree Basila, Donna Pinto, Terry Hyslop, Marc D. Ryser, Shoshana Rosenberg, E. Shelley Hwang, Rinaa S. Punglia
Publikováno v:
Breast Cancer Research, Vol 26, Iss 1, Pp 1-5 (2024)
Abstract Background The heterogeneous biology of ductal carcinoma in situ (DCIS), as well as the variable outcomes, in the setting of numerous treatment options have led to prognostic uncertainty. Consequently, making treatment decisions is challengi
Externí odkaz:
https://doaj.org/article/945c187b75fb456dbde65e04441ae27c
Autor:
Husain, Abbas, Ryser, Jeremiah, Pakela, Julia, Huang, Menggui, Shoniyozov, Khayrullo, Stappen, Francois Vander, Koumenis, Costas, Dong, Lei, Fan, Yi, Diffenderfer, Eric, Zou, Wei
Introduction: We developed and evaluated a method for dose calibration and monitoring under conventional and ultra-high dose rates for small animal experiments with small-field proton beams using a Faraday cup. Methods: We determined a relationship b
Externí odkaz:
http://arxiv.org/abs/2209.07354
Autor:
Andrew S. Ryser, DDS
Publikováno v:
Dentistry Review, Vol 4, Iss 3, Pp 100132- (2024)
OBJECTIVES: The purpose of this study is to evaluate the preference of MAD appliances for patients diagnosed with OSA and bruxism using TAP 3 and modified ProSomnus IA oral appliances. METHODS: Twelve patients diagnosed with OSA were referred for fab
Externí odkaz:
https://doaj.org/article/934e21d12274417faa639f750ef36727
Autor:
Ryser, Alain, Manduchi, Laura, Laumer, Fabian, Michel, Holger, Wellmann, Sven, Vogt, Julia E.
Publikováno v:
Proceedings of the 7th Machine Learning for Healthcare Conference, PMLR 182:425-458, 2022
We propose a novel anomaly detection method for echocardiogram videos. The introduced method takes advantage of the periodic nature of the heart cycle to learn three variants of a variational latent trajectory model (TVAE). While the first two varian
Externí odkaz:
http://arxiv.org/abs/2206.15316