Results 41 to 50 of about 60,361 (257)
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Despite their increased risk for functional impairment resulting from cancer and its treatments, few adolescents and young adults (AYAs) with a hematological malignancy receive the recommended or therapeutic dose of exercise per week during inpatient hospitalizations.
Jennifer A. Kelleher +8 more
wiley +1 more source
Explainable Reasoning over Knowledge Graphs for Recommendation
, 2018 Incorporating knowledge graph into recommender systems has attracted increasing attention in recent years. By exploring the interlinks within a knowledge graph, the connectivity between users and items can be discovered as paths, which provide rich and ...
Cao, Yixin +5 more
core +1 more source
Dependable modulation classifier explainer with measurable explainability
Frontiers in Big Data, 2023 The Internet of Things (IoT) plays a significant role in building smart cities worldwide. Smart cities use IoT devices to collect and analyze data to provide better services and solutions. These IoT devices are heavily dependent on the network for communication.
Gaurav Duggal +2 more
openaire +3 more sources
Proceedings of the International Florida Artificial Intelligence Research Society ConferenceArtificial Intelligence (AI) explainability plays a crucial role in fostering robust Human-AI Interaction (HAI). However, circular reasoning compromises decision robustness due to limitations in existing AI explainability methods.
Changhyun Lee +2 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Psychological safety (PS) is essential for teamwork, communication, and patient safety in complex healthcare environments. In pediatric oncology, interprofessional collaboration occurs under high emotional and organizational demands. Low PS may increase stress, burnout, and adverse events.
Alexandros Rahn +4 more
wiley +1 more source
Explainable analysis of infrared and visible light image fusion based on deep learning
Scientific ReportsExplainability is a very active area of research in machine learning and image processing. This paper aims to investigate the explainability of visible light and infrared image fusion technology in order to enhance the credibility of model understanding ...
Bo Yuan +4 more
doaj +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background The delipid extracorporeal lipoprotein filter from plasma (DELP) treatment can effectively reduce blood lipid, increase blood flow, and improve neurological deficits in patients with acute ischemic stroke (AIS). However, its effect on vision and retinal microcirculation in stroke patients has never been reported.
Ning Li +9 more
wiley +1 more source
Explainability-driven adversarial robustness assessment for generalized deepfake detectors
EURASIP Journal on Information SecurityThe capabilities of generative models to produce high-quality fake images require deepfake detectors to be accurate and have strong generalization performance.
Lorenzo Cirillo +2 more
doaj +1 more source
Toward Explainable Facial Expression Recognition Using Face Action Units: XFER-AU
IEEE AccessFace expression recognition (FER) has been extensively explored by the research community, with comparisons between different FER models typically relying on accuracy metrics.
Tanmay Tulsidas Verlekar +2 more
doaj +1 more source
A New Interpretable Unsupervised Anomaly Detection Method Based on Residual Explanation
IEEE Access, 2022 Despite the superior performance in modeling complex patterns to address challenging problems, the black-box nature of Deep Learning (DL) methods impose limitations to their application in real-world critical domains.
David F. N. Oliveira +8 more
doaj +1 more source