Browsing Electronic Engineering and Computer Science by Title
Now showing items 184-203 of 3133
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Assessing Polyseme Sense Similarity through Co-predication Acceptability and Contextualised Embedding Distance
(Association for Computational Linguistics, 2020-12-12)Co-predication is one of the most frequently used linguistic tests to tell apart shifts in polysemic sense from changes in homonymic meaning. It is increasingly coming under criticism as evidence is accumulating that it ... -
Assessing the Strengths and Weaknesses of Large Language Models
(Springer, 2023-11-30)The transformers that drive chatbots and other AI systems constitute large language models (LLMs). These are currently the focus of a lively discussion in both the scientific literature and the popular media. This discussion ... -
Assessing the Unitary RNN as an End-to-End Compositional Model of Syntax
(Open Publishing Association, 2022-08-10)We show that both an LSTM and a unitary-evolution recurrent neural network (URN) can achieve encouraging accuracy on two types of syntactic patterns: context-free long distance agreement, and mildly context-sensitive cross ... -
Assisted Coverage Closure
(2016) -
Assisting Human Balance in Standing With a Robotic Exoskeleton
(Institute of Electrical and Electronics Engineers, 2019-01-03)This letter presents an experimental study on balance recovery control with a lower limb exoskeleton robot. Four participants were subjected to a perturbation during standing, a forward force impulse applied to their pelvis ... -
Association between vitamin D supplementation and mortality: systematic review and meta-analysis.
(2019-08-12)OBJECTIVE: To investigate whether vitamin D supplementation is associated with lower mortality in adults. DESIGN: Systematic review and meta-analysis of randomised controlled trials. DATA SOURCES: Medline, Embase, and the ... -
Association of Corticosteroid Treatment With Outcomes in Adult Patients With Sepsis: A Systematic Review and Meta-analysis.
(2019-02-01)IMPORTANCE: Although corticosteroids are widely used for adults with sepsis, both the overall benefit and potential risks remain unclear. OBJECTIVE: To conduct a systematic review and meta-analysis of the efficacy and ... -
The ATEN Framework for Creating the Realistic Synthetic Electronic Health Record
(2018-01-27)Realistic synthetic data are increasingly being recognized as solutions to lack of data or privacy concerns in healthcare and other domains, yet little effort has been expended in establishing a generic framework for ... -
ATEPP: A DATASET OF AUTOMATICALLY TRANSCRIBED EXPRESSIVE PIANO PERFORMANCE
(2023-07-14)Computational models of expressive piano performance rely on attributes like tempo, timing, dynamics and pedalling. Despite some promising models for performance assessment and performance rendering, results are limited ... -
ATGNN: audio tagging graph neural network
(Institute of Electrical and Electronics Engineers, 2024-01-17)Deep learning models such as CNNs and Transformers have achieved impressive performance for end-to-end audio tagging. Recent works have shown that despite stacking multiple layers, the receptive field of CNNs remains ... -
Atom addition reactions in interstellar ice analogues
(2015-04-03) -
An attack/decay model for piano transcription
(ISMIR, 2016-08-07)We demonstrate that piano transcription performance for a known piano can be improved by explicitly modelling piano acoustical features. The proposed method is based on non-negative matrix factorisation, with the following ... -
Attacking and defence pathways for Intelligent Medical Diagnosis System (IMDS).
(Elsevier, 2021-04)BACKGROUND: The Intelligent Medical Diagnosis System (IMDS) has been targeted by the cyber attackers, who aim to damage the Healthcare Critical National Infrastructure (CNI). This research is motivated by the recent cyber ... -
Attention Enhancement and Motion Assistance for Virtual Reality-Mediated Upper-Limb Rehabilitation
(IEEE, 2020-10-14)Dysfunctions of upper limbs caused by diseases such as stroke result in difficulties in conducting day-to-day activities. Studies show that rehabilitation training using virtual reality games is helpful for patients to ...
