Results 141 to 150 of about 197,254 (306)

Exploring the role of apolipoprotein ε4 in progressive myoclonic epilepsy type 1

Epileptic Disorders, EarlyView.
Abstract Objective Progressive myoclonic epilepsy type 1 (EPM1) is a neurodegenerative disease caused by biallelic variants in the cystatin B (CSTB) gene. Despite a progressive course, phenotype severity varies among patients, even within families. We studied the potential role of APOE ε4 in modifying phenotypic diversity in EPM1, given its established
Janina Gunnar, Yawu Liu, Henri Eronen, Tarja Joensuu, Marja Äikiä, Jelena Hyppönen, Katri Silvennoinen, Esa Mervaala, Juhana Hakumäki, Anna‐Elina Lehesjoki, Reetta Kälviäinen   +10 more
wiley   +1 more source

Computational Linguistics [PDF]

2016 Third International Conference on Information Retrieval and Knowledge Management (CAMP), 2016
  +4 more sources

Pasteur's quadrant, computational linguistics, LSA, education [PDF]

, 2003
Thomas K. Landauer
openalex   +1 more source

Altered neurostructural development in magnetic resonance imaging‐negative pediatric epilepsy: A large‐scale multicenter study of 1919 children

Epilepsia, EarlyView.
Abstract Objective Addressing the poorly understood impact of pediatric epilepsy on neurodevelopment, this large‐scale study delineates age‐ and sex‐stratified neurostructural trajectories in magnetic resonance imaging (MRI)‐negative pediatric epilepsy to identify periods of maximal developmental divergence from healthy controls.
Yingfan Wang, Minghao Li, Huijun Li, Wei Yu, Peilin Jiang, Xinyi Zhou, Ke Hu, Feng Yang, Jiu Chen, Ming Yang, Xiaoshan Wang   +10 more
wiley   +1 more source

Synonym‐based multi‐keyword ranked search with secure k‐NN in 6G network

IET Networks, EarlyView., 2022
Abstract Sixth Generation (6G) integrates the next generation communication systems such as maritime, terrestrial, and aerial to offer robust network and massive device connectivity with ultra‐low latency requirement. The cutting edge technologies such as artificial intelligence, quantum machine learning, and millimetre enable hyper‐connectivity to ...
Deebak Bakkiam David, Fadi Al‐Turjman
wiley   +1 more source

Supplementary Data for Unravelling Lexical and Narrative Patterns in the Hikayat Lonthoir: A Computational Linguistics Approach

Kersapati, Muhamad
openalex   +2 more sources

Computational Linguistic [PDF]

2021 Fifth International Conference on Information Retrieval and Knowledge Management (CAMP), 2021
openaire   +1 more source

Ongoing directions in computational linguistics [PDF]

, 1992
Martin Kay
openalex   +1 more source

Affective Dimensions in Maternal Voice During Child Feeding in Mothers With and Without Eating Disorder History—Findings From a Machine Learning Analysis of Speech Data

European Eating Disorders Review, EarlyView.
ABSTRACT Objective Eating disorder (ED) history may impact mother‐child communication during mealtimes and contribute to transgenerational transmission of ED. This study employed machine learning (ML) to identify speech characteristics during mother‐child feeding interactions, aiming for investigating whether vocalised affective characteristics differ ...
Jana Katharina Throm, Manuel Milling, Andreas Triantafyllopoulos, Alexander Kathan, Annica Franziska Dörsam, Johanna Löchner, Björn Schuller, Katrin Elisabeth Giel   +7 more
wiley   +1 more source

Features requirement elicitation process for designing a chatbot application

IET Networks, EarlyView., 2022
This article seeks to assist the chatbot community by outlining the characteristics that a chatbot needs to possess and explaining how to create a chatbot for a bank. In order to determine which capabilities are most crucial to ending users, a study of a small sample of chatbot users was conducted.
Nurul Muizzah Johari, Puteri N. E. Nohuddin, Ahmad Hanif Ahmad Baharin, Noor Azuddin Yakob, Mohammad Javad Ebadi   +4 more
wiley   +1 more source