Results 111 to 120 of about 416,762 (282)
Advanced Science, EarlyView.This study generates high‐fidelity synthetic longitudinal records for a million‐patient diabetes cohort, successfully replicating clinical predictive performance. However, deeper analysis reveals algorithmic biases and trajectory inconsistencies that escape standard quality metrics. These findings challenge current validation norms, demonstrating why a
Francisco Ortuño +5 more
wiley +1 more source
Speech as a pilot input medium [PDF]
The speech recognition system under development is a trainable pattern classifier based on a maximum-likelihood technique. An adjustable uncertainty threshold allows the rejection of borderline cases for which the probability of misclassification is high.
Coler, C. R., Plummer, R. P.
core +1 more source
Cognitive Trajectories from Preclinical Alzheimer's Disease to Dementia
Advanced Science, EarlyView.A continuous, multi‐domain characterization of cognitive decline across the Alzheimer's disease spectrum identifies when individual cognitive measures become abnormal. Episodic memory declines first, followed by executive function, language, processing speed, and visuospatial abilities, supporting improved clinical interpretation and optimized endpoint
Fredrik Öhman +3 more
wiley +1 more source
Towards Understanding Spontaneous Speech: Word Accuracy vs. Concept Accuracy
, 1996 In this paper we describe an approach to automatic evaluation of both the speech recognition and understanding capabilities of a spoken dialogue system for train time table information.
Boros, M. +5 more
core +3 more sources
Advanced Science, EarlyView.ABSTRACT Anti‐NMDAR encephalitis (NMDARE) is an autoantibody‐mediated disorder characterized by seizures, movement disorders, neurocognitive deficits, and psychosis, but the complete phenotypic heterogeneity, and outcomes are incompletely understood in children.
Alexander J. Sandweiss +9 more
wiley +1 more source
, 1996 A new tightly coupled speech and natural language integration model is presented for a TDNN-based continuous possibly large vocabulary speech recognition system for Korean.
Lee, Geunbae, Lee, Jong-Hyeok
core
Overview of models on spoken word recognition.
The Japanese journal of psychology, 1999 Models of spoken word recognition, such as logogen model, cohort model, new cohort model, trace model, shortlist model, and neighborhood activation model, were examined from the viewpoints of lexical processing. Although none of these models were good enough to explain all the results of studies on activation, competition, and composition of word ...
openaire +3 more sources
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Advanced Science, EarlyView.Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Word and object recognition during reading acquisition: MEG evidence
Developmental Cognitive Neuroscience, 2017 Studies on adults suggest that reading-induced brain changes might not be limited to linguistic processes. It is still unclear whether these results can be generalized to reading development.
Sendy Caffarra +6 more
doaj +1 more source
Efficiency of spoken word recognition slows across the adult lifespan. [PDF]
Cognition, 2023 Colby SE, McMurray B.
europepmc +1 more source