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sudha subramani (B.E.,M.E.,PhD)
sudha subramani (B.E.,M.E.,PhD)
Academic Lecturer
Dirección de correo verificada de live.vu.edu.au
Título
Citado por
Citado por
Año
Domestic violence crisis identification from facebook posts based on deep learning
S Subramani, H Wang, HQ Vu, G Li
IEEE access 6, 54075-54085, 2018
802018
Deep learning for multi-class identification from domestic violence online posts
S Subramani, S Michalska, H Wang, J Du, Y Zhang, H Shakeel
IEEE access 7, 46210-46224, 2019
702019
Neural attention with character embeddings for hay fever detection from twitter
J Du, S Michalska, S Subramani, H Wang, Y Zhang
Health information science and systems 7, 1-7, 2019
672019
CAB: classifying arrhythmias based on imbalanced sensor data
Y Wang, L Sun, S Subramani
KSII Transactions on Internet and Information Systems (TIIS) 15 (7), 2304-2320, 2021
412021
FogMed: A Fog-Based Framework for Disease Prognosis Based Medical Sensor Data Streams.
L Sun, Q Yu, D Peng, S Subramani, X Wang
Computers, Materials & Continua 66 (1), 2021
392021
Intent classification using feature sets for domestic violence discourse on social media
S Subramani, HQ Vu, H Wang
2017 4th Asia-Pacific World Congress on Computer Science and Engineering …, 2017
312017
Antisocial Behavior Identification from Twitter Feeds Using Traditional Machine Learning Algorithms and Deep Learning.
R Singh, S Subramani, J Du, Y Zhang, H Wang, Y Miao, K Ahmed
EAI Endorsed Transactions on Scalable Information Systems 10 (4), 2023
252023
Deep learning for pollen allergy surveillance from twitter in Australia
J Rong, S Michalska, S Subramani, J Du, H Wang
BMC medical informatics and decision making 19, 1-13, 2019
212019
Child abuse and domestic abuse: Content and feature analysis from social media disclosures
S Subramani, H Wang, MR Islam, A Ulhaq, M O’Connor
Databases Theory and Applications: 29th Australasian Database Conference …, 2018
192018
Extracting actionable knowledge from domestic violence discourses on social media
S Subramani, M O'Connor
arXiv preprint arXiv:1807.02391, 2018
142018
Mining actionable knowledge using reordering based diversified actionable decision trees
S Subramani, H Wang, S Balasubramaniam, R Zhou, J Ma, Y Zhang, ...
Web Information Systems Engineering–WISE 2016: 17th International Conference …, 2016
142016
Deep learning for multi-class antisocial behavior identification from Twitter
R Singh, S Subramani, J Du, Y Zhang, H Wang, K Ahmed, Z Chen
IEEE Access 8, 194027-194044, 2020
102020
Text mining and real-time analytics of twitter data: A case study of australian hay fever prediction
S Subramani, S Michalska, H Wang, F Whittaker, B Heyward
Health Information Science: 7th International Conference, HIS 2018, Cairns …, 2018
102018
Post mining of diversified multiple decision trees for actionable knowledge discovery
S Subramani, S Balasubramaniam
Advanced Computing, Networking and Security: International Conference …, 2012
72012
A multi-label classification system for anomaly classification in electrocardiogram
C Li, L Sun, D Peng, S Subramani, SC Nicolas
Health Information Science and Systems 10 (1), 19, 2022
42022
A ResNet based multiscale feature extraction for classifying multi-variate medical time series
J Zhu, L Sun, Y Wang, S Subramani, D Peng, SC Nicolas
KSII Transactions on Internet and Information Systems (TIIS) 16 (5), 1431-1445, 2022
22022
Time Series Classification for Portable Medical Devices
Z Zhong, L Sun, S Subramani, D Peng, Y Wang
EAI Endorsed Transactions on Scalable Information Systems 10 (4), e19-e19, 2023
12023
Intelligent Interpretation and Classification of Multivariate Medical Time Series Based on Convolutional Neural Networks
T Xu, L Sun, S Subramani, Y Wang
International Conference on Health Information Science, 291-302, 2022
12022
From Posts to Knowledge: Annotating a Pandemic-Era Reddit Dataset to Navigate Mental Health Narratives
S Rani, K Ahmed, S Subramani
Applied Sciences 14 (4), 1547, 2024
2024
Personalized Arrhythmia Detection Based on Lightweight Autoencoder and Variational Autoencoder
Z Zhong, L Sun, S Subramani
Australasian Database Conference, 50-62, 2022
2022
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