Search Results - "Subramani, Sudha"

Deep Learning for Multi-Class Identification From Domestic Violence Online Posts by Subramani, Sudha, Michalska, Sandra, Wang, Hua, Du, Jiahua, Zhang, Yanchun, Shakeel, Haroon

“…Domestic violence (DV) is not only a major health and welfare issue but also a violation of human rights. In recent years, domestic violence crisis support…”
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Domestic Violence Crisis Identification From Facebook Posts Based on Deep Learning by Subramani, Sudha, Wang, Hua, Vu, Huy Quan, Li, Gang

“…Domestic violence (DV) is a cause of concern due to the threat it poses toward public health and human rights. There is a need for quick identification of the…”
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From Posts to Knowledge: Annotating a Pandemic-Era Reddit Dataset to Navigate Mental Health Narratives by Rani, Saima, Ahmed, Khandakar, Subramani, Sudha

“…Mental illness is increasingly recognized as a substantial public health challenge worldwide. With the advent of social media, these platforms have become…”
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Deep learning for pollen allergy surveillance from twitter in Australia by Rong, Jia, Michalska, Sandra, Subramani, Sudha, Du, Jiahua, Wang, Hua

“…The paper introduces a deep learning-based approach for real-time detection and insights generation about one of the most prevalent chronic conditions in…”
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Deep Learning for Multi-Class Antisocial Behavior Identification From Twitter by Singh, Ravinder, Subramani, Sudha, Du, Jiahua, Zhang, Yanchun, Wang, Hua, Ahmed, Khandakar, Chen, Zhenxiang

“…Social Media has become an integral part of our daily life. Not only it enables collaboration and flow of information but has also become an imperative tool…”
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Extracting Actionable Knowledge from Domestic Violence Discourses on Social Media by Subramani, Sudha, O’Connor, Manjula

“…Domestic Violence (DV) is considered as big social issue and there exists a strong relationship between DV and health impacts of the public. Existing research…”
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Neural attention with character embeddings for hay fever detection from twitter by Du, Jiahua, Michalska, Sandra, Subramani, Sudha, Wang, Hua, Zhang, Yanchun

“…The paper aims to leverage the highly unstructured user-generated content in the context of pollen allergy surveillance using neural networks with character…”
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Antisocial Behavior Identification from Twitter Feeds Using Traditional Machine Learning Algorithms and Deep Learning by Singh, Ravinder, Subramani, Sudha, Du, Jiahua, Zhang, Yanchun, Wang, Hua, Miao, Yuan, Ahmed, Khandakar

“…Antisocial behavior (ASB) is one of the ten personality disorders included in ‘The Diagnostic and Statistical Manual of Mental Disorders (DSM-5) and falls in…”
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Time Series Classification for Portable Medical Devices by Zhong, Zhaoyi, Sun, Le, Subramani, Sudha, Peng, Dandan, Wang, Yilin

“…INTRODUCTION: With the continuous progress of the medical Internet of Things, intelligent medical wearable devices are also gradually mature. Among them,…”
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A multi-label classification system for anomaly classification in electrocardiogram by Li, Chenyang, Sun, Le, Peng, Dandan, Subramani, Sudha, Nicolas, Shangwe Charmant

“…Automatic classification of ECG signals has become a research hotspot, and most of the research work in this field is currently aimed at single-label…”
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Extracting Actionable Knowledge from Domestic Violence Discourses on Social Media by Subramani, Sudha, O'Connor, Manjula

“…Domestic Violence (DV) is considered as big social issue and there exists a strong relationship between DV and health impacts of the public. Existing research…”
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Intent Classification Using Feature Sets for Domestic Violence Discourse on Social Media by Subramani, Sudha, Vu, Huy Quan, Wang, Hua

“…Domestic Violence against women is now recognized to be a serious and widespread problem worldwide. Domestic Violence and Abuse is at the root of so many…”
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Intent Classification using Feature Sets for Domestic Violence Discourse on Social Media by Subramani, Sudha, Vu, Huy Quan, Wang, Hua

“…Domestic Violence against women is now recognized to be a serious and widespread problem worldwide. Domestic Violence and Abuse is at the root of so many…”
Get full text