Zobrazeno 1 - 10
of 833
pro vyhledávání: '"Hsu, William"'
Autor:
Ali, Raja Farrukh, Milani, Stephanie, Woods, John, Adenij, Emmanuel, Farooq, Ayesha, Mansel, Clayton, Burns, Jeffrey, Hsu, William
Reinforcement learning (RL) has recently shown promise in predicting Alzheimer's disease (AD) progression due to its unique ability to model domain knowledge. However, it is not clear which RL algorithms are well-suited for this task. Furthermore, th
Externí odkaz:
http://arxiv.org/abs/2406.07777
Autor:
Ding, Ruiwen, Luong, Kha-Dinh, Rodriguez, Erika, da Silva, Ana Cristina Araujo Lemos, Hsu, William
In computational pathology, extracting spatial features from gigapixel whole slide images (WSIs) is a fundamental task, but due to their large size, WSIs are typically segmented into smaller tiles. A critical aspect of this analysis is aggregating in
Externí odkaz:
http://arxiv.org/abs/2406.04377
Autor:
Nakhaei, Noor, Marasinou, Chrysostomos, Omigbodun, Akinyinka, Capiro, Nina, Li, Bo, Hoyt, Anne, Hsu, William
Publikováno v:
Medical Imaging 2021: Computer-Aided Diagnosis (Vol. 11597, pp. 511-516). SPIE
Accurate characterization of suspicious microcalcifications is critical to determine whether these calcifications are associated with invasive disease. Our overarching objective is to enable the joint characterization of microcalcifications and surro
Externí odkaz:
http://arxiv.org/abs/2405.13237
Autor:
Warner, Elisa, Lee, Joonsang, Hsu, William, Syeda-Mahmood, Tanveer, Kahn, Charles, Gevaert, Olivier, Rao, Arvind
Machine learning (ML) applications in medical artificial intelligence (AI) systems have shifted from traditional and statistical methods to increasing application of deep learning models. This survey navigates the current landscape of multimodal ML,
Externí odkaz:
http://arxiv.org/abs/2311.02332
Autor:
Okerinde, Ademola, Hoggatt, Sam, Lakkireddy, Divya Vani, Brubaker, Nolan, Hsu, William, Shamir, Lior, Spiesman, Brian
Publikováno v:
The 4th International Conference on Computing and Data Science (CONF-CDS 2022)
In recent years, self-supervised learning has had significant success in applications involving computer vision and natural language processing. The type of pretext task is important to this boost in performance. One common pretext task is the measur
Externí odkaz:
http://arxiv.org/abs/2201.01391
Autor:
Hsu, William
Publikováno v:
Restricted to subscribing institutions.
Thesis (Ph. D.)--UCLA, 2009.
Vita. Description based on print version record. Includes bibliographical references (leaves 208-217).
Vita. Description based on print version record. Includes bibliographical references (leaves 208-217).
Class imbalance is an inherent problem in many machine learning classification tasks. This often leads to trained models that are unusable for any practical purpose. In this study we explore an unsupervised approach to address these imbalances by lev
Externí odkaz:
http://arxiv.org/abs/2104.04162
Ceramic insulators are important to electronic systems, designed and installed to protect humans from the danger of high voltage electric current. However, insulators are not immortal, and natural deterioration can gradually damage them. Therefore, t
Externí odkaz:
http://arxiv.org/abs/2103.01426
Autor:
Marasinou, Chrysostomos, Li, Bo, Paige, Jeremy, Omigbodun, Akinyinka, Nakhaei, Noor, Hoyt, Anne, Hsu, William
Accurate characterization of microcalcifications (MCs) in 2D full-field digital screening mammography is a necessary step towards reducing diagnostic uncertainty associated with the callback of women with suspicious MCs. Quantitative analysis of MCs
Externí odkaz:
http://arxiv.org/abs/2102.00754
Autor:
Okanlawon, Adedolapo, Yang, Huichen, Bose, Avishek, Hsu, William, Andresen, Dan, Tanash, Mohammed
We present a machine learning framework and a new test bed for data mining from the Slurm Workload Manager for high-performance computing (HPC) clusters. The focus was to find a method for selecting features to support decisions: helping users decide
Externí odkaz:
http://arxiv.org/abs/2012.07982