Lidoma@ dravidianlangtech: Convolutional neural networks for studying correlation between lexical features and sentiment polarity in tamil and tulu languages
M Tash, J Armenta-Segura, Z Ahani… - Proceedings of the …, 2023 - aclanthology.org
With the prevalence of code-mixing among speakers of Dravidian languages,
DravidianLangTech proposed the shared task on Sentiment Analysis in Tamil and Tulu at …
DravidianLangTech proposed the shared task on Sentiment Analysis in Tamil and Tulu at …
Sleep EEG-based approach to detect mild cognitive impairment
D Geng, C Wang, Z Fu, Y Zhang, K Yang… - Frontiers in aging …, 2022 - frontiersin.org
Mild Cognitive Impairment (MCI) is an early stage of dementia, which may lead to
Alzheimer's disease (AD) in older adults. Therefore, early detection of MCI and …
Alzheimer's disease (AD) in older adults. Therefore, early detection of MCI and …
Language identification at the word level in code-mixed texts using character sequence and word embedding
People often switch languages in conversations or written communication in order to
communicate thoughts on social media platforms. The languages in texts of this type, also …
communicate thoughts on social media platforms. The languages in texts of this type, also …
Usefulness of automatic hyperparameter optimization in developing radiation emulator in a numerical weather prediction model
PS Kim, HJ Song - Atmosphere, 2022 - mdpi.com
To improve the forecasting accuracy of a radiation emulator in a weather prediction model
over the Korean peninsula, the learning rate used in neural network training was …
over the Korean peninsula, the learning rate used in neural network training was …
[PDF][PDF] Optimized Binary Neural Networks for Road Anomaly Detection: A TinyML Approach on Edge Devices.
ABSTRACT Integrating Tiny Machine Learning (TinyML) with edge computing in remotely
sensed images enhances the capabilities of road anomaly detection on a broader level …
sensed images enhances the capabilities of road anomaly detection on a broader level …
Features and Methods
In addition to features and methods used in LI, this chapter introduces the notation devised
by Jauhiainen et al. that is used throughout this book to describe LI methods. For easier …
by Jauhiainen et al. that is used throughout this book to describe LI methods. For easier …
Model optimization by destructive methods: A case study using structured pruning in image classification models
F Moura, A Madureira, L Lopes, V Neves… - Anais do Computer …, 2024 - periodicos.univali.br
Abstract The Deep Neural Network architectures' advances offer innovative and effective
solutions to various complex challenges. In order to improve the models' effectiveness …
solutions to various complex challenges. In order to improve the models' effectiveness …