Results 141 to 150 of about 6,336,923 (296)
3D-AOCL: Analytic online continual learning for imbalanced 3D point cloud classification
Recent autonomous driving systems heavily rely on 3D point cloud data collected from multiple sensors for environmental awareness and decision-making. However, it is unrealistic to expect the autonomous driving system to recognize all road environments ...
Ziqian Zeng +4 more
doaj +1 more source
A Study on prototype based Online Continual Learning
reservedContinual learning (CL) seeks to overcome catastrophic forgetting - the tendency of machine learning models to lose previously acquired knowledge when trained on new data.
MANSOORI, SEJAL
core
Abstract Evaluations of community‐engaged research (CEnR) typically emphasize health outcomes rather than the partnership processes that contribute to intervention effectiveness. This scoping review synthesized community partner‐identified strategies for successful community‐academic health research partnerships with Black American communities and ...
Kaylyn A. Garcia +6 more
wiley +1 more source
PRCSL: A privacy-preserving continual split learning framework for decentralized medical diagnosis
Deep learning-based medical AI systems are increasingly deployed for disease diagnosis in decentralized healthcare environments where data are siloed across hospitals and IoT devices and cannot be freely shared due to strict privacy and security ...
Jungmin Eom +5 more
doaj +1 more source
Nothing to See Here: Researching Non‐Recent Child Abuse in Schools and the Politics of Silence
ABSTRACT While institutions, including schools, have responsibilities to protect children from harm, responses to instances of child sexual abuse have often exhibited avoidance and denial. Recent public inquiries in Australia revealed that some institutions, particularly in the Catholic sector, employed a deliberate strategy of silence which was used ...
John Crowley +2 more
wiley +1 more source
SpartanAnatomy.org: Evaluating a new interactive neuroradiology tool for early medical education
Abstract Teaching neuroanatomy through the lens of magnetic resonance imaging (MRI) offers medical students a strong foundation for success. However, many existing MRI learning resources lack interactivity and user‐friendliness, require payment, or include an overwhelming number of labeled structures.
Halie Kerver +3 more
wiley +1 more source
Continual Learning (CL) rose to prominence with the rise of deep architectures, and then entered a winter as large language models (LLMs) gave the impression that learning over time was no longer needed. We argue that this winter was not a failure but, in fact, a necessary transition.
Luigi Quarantiello +10 more
openaire +1 more source
Learning with Preserving for Continual Multitask Learning
Artificial intelligence systems in critical fields like autonomous driving and medical imaging analysis often continually learn new tasks using a shared stream of input data. For instance, after learning to detect traffic signs, a model may later need to learn to classify traffic lights or different types of vehicles using the same camera feed.
Hanchen David Wang +3 more
openaire +2 more sources
Abstract Human dissection is a foundational component of medical education, yet it places students in profound ethical tension between scientific objectification and respect for human dignity. While prior studies have documented students' emotional responses, the structural transformation of their moral narratives over time, particularly within non ...
Jun‐Ki Lee +2 more
wiley +1 more source

