Results 51 to 60 of about 841,632 (200)
Deep Relation Learning for Regression and Its Application to Brain Age Estimation [PDF]
IEEE Transactions on Medical Imaging. 2022, 2022 Most deep learning models for temporal regression directly output the estimation based on single input images, ignoring the relationships between different images. In this paper, we propose deep relation learning for regression, aiming to learn different relations between a pair of input images.
arxiv
IEEE Access, 2021 The network intrusion detection system is a core technology of network security that detects packets for malicious activities occurring in the network and is an essential element for stable services in extended network environments such as big data and ...
Jihoon Yoo +4 more
doaj +1 more source
Implicit-statistical learning in aphasia and its relation to lesion location [PDF]
Neuropsychologia, 2020 Implicit-statistical learning (ISL) research investigates whether domain-general mechanisms are recruited in the linguistic processes that require manipulation of patterned regularities (e.g. syntax). Aphasia is a language disorder caused by focal brain damage in the left fronto-temporal-parietal network.
Vadinova, V. +4 more
openaire +5 more sources
Idiomaticity Prediction of Chinese Noun Compounds and Its Applications
IEEE Access, 2019 Idiomaticity refers to the situation where the meaning of a lexical unit cannot be derived from the usual meanings of its constituents. As a ubiquitous phenomenon in languages, the existence of idioms often causes significant challenges for semantic NLP ...
Chengyu Wang +4 more
doaj +1 more source
African Journal of Disability, 2023 Background: Preventing adversity from accelerating among learners with specific learning disabilities (SLD) is imperative. Continuous adversities, such as social-emotional, psychological and academic difficulties, characterise learners with SLD.
Daphney Mawila
doaj +1 more source
OpinionMine: A Bayesian-based framework for opinion mining using Twitter Data
Machine Learning with Applications, 2021 This article studies opinion mining from social media with probabilistic logic reasoning. As it is known, Twitter is one of the most active social networks, with millions of tweets sent daily, where multiple users express their opinion about traveling ...
Stefanos Zervoudakis +3 more
doaj
A Review of Off-Policy Evaluation in Reinforcement Learning [PDF]
arXiv, 2022 Reinforcement learning (RL) is one of the most vibrant research frontiers in machine learning and has been recently applied to solve a number of challenging problems. In this paper, we primarily focus on off-policy evaluation (OPE), one of the most fundamental topics in RL.
arxiv
Detection of Suicidal Ideation on Social Media: Multimodal, Relational, and Behavioral Analysis
Journal of Medical Internet Research, 2020 BackgroundSuicide risk assessment usually involves an interaction between doctors and patients. However, a significant number of people with mental disorders receive no treatment for their condition due to the limited access to mental health care ...
Ramírez-Cifuentes, Diana +7 more
doaj +1 more source
A Self-Attention-Based Imputation Technique for Enhancing Tabular Data Quality
Data, 2023 Recently, data-driven decision-making has attracted great interest; this requires high-quality datasets. However, real-world datasets often feature missing values for unknown or intentional reasons, rendering data-driven decision-making inaccurate.
Do-Hoon Lee, Han-joon Kim
doaj +1 more source
Statistical Learning Is Related to Reading Ability in Children and Adults [PDF]
Cognitive Science, 2011 AbstractThere is little empirical evidence showing a direct link between a capacity for statistical learning (SL) and proficiency with natural language. Moreover, discussion of the role of SL in language acquisition has seldom focused on literacy development.
Joanne Arciuli, Ian C. Simpson
openaire +3 more sources