Results 31 to 40 of about 64,893 (276)

Intravitreal GD2‐Specific Chimeric Antigen Receptor T‐Cell Therapy for Refractory Retinoblastoma

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Effective treatments for advanced, treatment‐resistant retinoblastoma (RB) remain limited. GD2‐specific chimeric antigen receptor (CAR) T cells show potent antitumor activity with minimal toxicity but have not previously been evaluated in RB.
Subongkoch Subhadhirasakul   +13 more
wiley   +1 more source

Subjective performance assessment protocol for visual explanations-based face verification explainability

open access: yesEURASIP Journal on Image and Video Processing
The integration of Face Verification (FV) systems into multiple critical moments of daily life has become increasingly prevalent, raising concerns regarding the transparency and reliability of these systems.
Naima Bousnina   +3 more
doaj   +1 more source

Folded Recurrent Neural Networks for Future Video Prediction

open access: yes, 2018
Future video prediction is an ill-posed Computer Vision problem that recently received much attention. Its main challenges are the high variability in video content, the propagation of errors through time, and the non-specificity of the future frames ...
Escalera, Sergio   +2 more
core   +1 more source

NRASQ61R Expression in Lymphatic Endothelial Cells Causes Enlarged Vessels, Hemorrhagic Chylous Effusions, and High Mortality in a Mouse Model of Kaposiform Lymphangiomatosis

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Kaposiform lymphangiomatosis (KLA) is an aggressive complex lymphatic anomaly. Patients exhibit malformed lymphatic vessels and often develop hemorrhagic effusions and elevated angiopoietin‐2 (Ang‐2) levels. A somatic NRAS p.Q61R (NRASQ61R) mutation has been associated with KLA.
C. Griffin McDaniel   +3 more
wiley   +1 more source

Situativität, Funktionalität und Vertrauen: Ergebnisse einer szenariobasierten Interviewstudie zur Erklärbarkeit von KI in der Medizin

open access: yesTATuP – Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis
A central requirement for the use of artificial intelligence (AI) in medicine is its explainability, i. e., the provision of addressee-oriented information about its functioning.
Manuela Marquardt   +4 more
doaj   +1 more source

A New Interpretable Unsupervised Anomaly Detection Method Based on Residual Explanation

open access: yesIEEE 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

The Fate (Outcome) of Clinically Apparent Single Lesion and Oligofocal Nephroblastomatosis Treated According to SIOP/GPOH Protocols for Wilms Tumor

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background The management of clinically apparent single lesions or oligofocal nephroblastomatosis, a facultative precursor of nephroblastoma, remains debated. Methods We retrospectively analyzed 37 patients with clinically apparent single or oligofocal nephroblastomatosis (two to three lesions per kidney) among 2347 patients registered between
Nils Welter   +17 more
wiley   +1 more source

The economic explainability of machine learning and standard econometric models-an application to the U.S. mortgage default risk

open access: yesInternational Journal of Strategic Property Management, 2021
This study aims to bridge the gap between two perspectives of explainability−machine learning and engineering, and economics and standard econometrics−by applying three marginal measurements.
Dong-sup Kim, Seungwoo Shin
doaj   +1 more source

Explainable Reasoning over Knowledge Graphs for Recommendation

open access: yes, 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

Human Cognition for Mitigating the Paradox of AI Explainability: A Pilot Study on Human Gaze-based Text Highlighting

open access: yesProceedings of the International Florida Artificial Intelligence Research Society Conference
Artificial 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

Home - About - Disclaimer - Privacy