Results 61 to 70 of about 1,532,491 (274)
Cognitive Behavioral Therapy for Youth with Childhood‐Onset Lupus: A Randomized Clinical Trial
Arthritis Care &Research, Accepted Article.Objective Our objective was to determine the feasibility and acceptability of the Treatment and Education Approach for Childhood‐onset Lupus (TEACH), a six‐session cognitive behavioral intervention addressing depressive, fatigue, and pain symptoms, delivered remotely to individual youth with lupus by a trained interventionist.
Natoshia R. Cunningham +29 more
wiley +1 more source
GREG: A Global Level Relation Extraction with Knowledge Graph Embedding
Applied Sciences, 2020 In an age overflowing with information, the task of converting unstructured data into structured data are a vital task of great need. Currently, most relation extraction modules are more focused on the extraction of local mention-level relations— ...
Kuekyeng Kim +3 more
doaj +1 more source
IEEE Access, 2022 We propose a novel technique for dataset summarization by selecting representatives from a large, unsupervised dataset. The approach is based on the concept of self-rank, defined as the minimum number of samples needed to express all dataset samples with
Saeed Vahidian +5 more
doaj +1 more source
A Meta-Learning Approach for Custom Model Training
, 2019 Transfer-learning and meta-learning are two effective methods to apply knowledge learned from large data sources to new tasks. In few-class, few-shot target task settings (i.e.
Abrishami, Mohammad Saeed +3 more
core +1 more source
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
6G Wireless Systems: A Vision, Architectural Elements, and Future Directions
IEEE Access, 2020 Internet of everything (IoE)-based smart services are expected to gain immense popularity in the future, which raises the need for next-generation wireless networks. Although fifth-generation (5G) networks can support various IoE services, they might not
Latif U. Khan +4 more
doaj +1 more source
An Easy to Use Repository for Comparing and Improving Machine Learning Algorithm Usage [PDF]
, 2014 The results from most machine learning experiments are used for a specific purpose and then discarded. This results in a significant loss of information and requires rerunning experiments to compare learning algorithms.
Giraud-Carrier, Christophe +3 more
core
Continuous Learning in a Hierarchical Multiscale Neural Network
, 2018 We reformulate the problem of encoding a multi-scale representation of a sequence in a language model by casting it in a continuous learning framework.
Chaumond, Julien +2 more
core +1 more source
Advanced Engineering Materials, EarlyView.Herein, environmental scanning electron microscopy (ESEM) is discussed as a powerful extension of conventional SEM for life sciences. By combining high‐resolution imaging with variable pressure and humidity, ESEM allows the analysis of untreated biological materials, supports in situ monitoring of hydration‐driven changes, and advances the functional ...
Jendrian Riedel +6 more
wiley +1 more source
Towards Meta-learning over Data Streams [PDF]
, 2014 Modern society produces vast streams of data. Many stream mining algorithms have been developed to capture general trends in these streams, and make predictions for future observations, but relatively little is known about which algorithms perform ...
Holmes, Geoffrey +3 more
core +1 more source