Zobrazeno 1 - 10
of 14 582
pro vyhledávání: '"O'Gorman, A. (A.)"'
We propose Few-Class Arena (FCA), as a unified benchmark with focus on testing efficient image classification models for few classes. A wide variety of benchmark datasets with many classes (80-1000) have been created to assist Computer Vision archite
Externí odkaz:
http://arxiv.org/abs/2411.01099
Autor:
Cheng, Qi, Boratko, Michael, Yelugam, Pranay Kumar, O'Gorman, Tim, Singh, Nalini, McCallum, Andrew, Li, Xiang Lorraine
Large language models have demonstrated impressive performance on commonsense tasks; however, these tasks are often posed as multiple-choice questions, allowing models to exploit systematic biases. Commonsense is also inherently probabilistic with mu
Externí odkaz:
http://arxiv.org/abs/2406.04145
In this work, we report, for the first time, an implementation of fermionic auxiliary-field quantum Monte Carlo (AFQMC) using matrix product state (MPS) trial wavefunctions, dubbed MPS-AFQMC. Calculating overlaps between an MPS trial and arbitrary Sl
Externí odkaz:
http://arxiv.org/abs/2405.05440
Publikováno v:
ICPR 2024
Although accuracy and computation benchmarks are widely available to help choose among neural network models, these are usually trained on datasets with many classes, and do not give a good idea of performance for few (< 10) classes. The conventional
Externí odkaz:
http://arxiv.org/abs/2404.05981
Autor:
O'Gorman, Lawrence
Although mobile robots have on-board sensors to perform navigation, their efficiency in completing paths can be enhanced by planning to avoid human interaction. Infrastructure cameras can capture human activity continuously for the purpose of compili
Externí odkaz:
http://arxiv.org/abs/2403.18096
Autor:
Finkel, Justin, O'Gorman, Paul A.
A leading goal for climate science and weather risk management is to accurately model both the physics and statistics of extreme events. These two goals are fundamentally at odds: the higher a computational model's resolution, the more expensive are
Externí odkaz:
http://arxiv.org/abs/2402.01823
Autor:
Sylvain Bodard, Leo Razakamanantsoa, Ruben Geevarghese, Julianne O’Gorman, Anthony Dohan, Clement Marcelin, François H. Cornelis
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-6 (2024)
Abstract Purpose To investigate over 10 years the safety and efficacy of percutaneous cryoablation for the treatment of abdominal wall endometriosis (AWE). Methods A systematic review was conducted of literature published between March 2014 and March
Externí odkaz:
https://doaj.org/article/8440d9638b0b4134a2fd0353fae3942a
We examine how the choice of data-side attributes for two important visual tasks of image classification and object detection can aid in the choice or design of lightweight convolutional neural networks. We show by experimentation how four data attri
Externí odkaz:
http://arxiv.org/abs/2308.13057
Autor:
Cillian Custy, Mark Mitchell, Therese Dunne, Alison McCaffrey, Orla Neylon, Clodagh O'Gorman, Alexandra Cremona
Publikováno v:
Clinical Nutrition Open Science, Vol 56, Iss , Pp 265-286 (2024)
Summary: Background: Optimal blood glucose management is essential for optimal managing type 1 diabetes (T1D). Exercise is an efficacious, non-pharmacological, and cost-efficient adjunctive treatment that provides additional health benefits. Neverthe
Externí odkaz:
https://doaj.org/article/e1190d00727248f4b2e979c594dd4676
Autor:
Lakshmi Balaji, Robin Forbes, Anita Cairns, Hugo Sampaio, Andrew J. Kornberg, Lauren Sanders, Phillipa Lamont, Christina Liang, Kristi J. Jones, Kristen Nowak, Cullen O'Gorman, Ian Woodcock, Nancy Briggs, Eppie M. Yiu, Michelle A. Farrar, Didu Kariyawasam
Publikováno v:
The Lancet Regional Health. Western Pacific, Vol 53, Iss , Pp 101237- (2024)
Summary: Background: New paradigms of diagnosis and treatment have changed the neurodegenerative trajectory for individuals with spinal muscular atrophy (SMA). Registries are a critical tool to provide real-world data on treatment patterns, their eff
Externí odkaz:
https://doaj.org/article/ad888b22332f4698b9ba4d648a9e4b48