activity
20132024
most citedUnderstanding and Measuring Psychological Stress using Social Media

30 citations · 69 across the 10 of their papers we have counts for

collaborators

11 papers

cs.LG2024

Uncertainty-Aware Crime Prediction With Spatial Temporal Multivariate Graph Neural Networks

Zepu Wang, Xiaobo Ma, Huajie Yang +3

Crime forecasting is a critical component of urban analysis and essential for stabilizing society today. Unlike other time series forecasting problems, crime incidents are sparse,…

eess.IV2023

Generative Adversarial Networks based Skin Lesion Segmentation

Shubham Innani, Prasad Dutande, Ujjwal Baid +5

Skin cancer is a serious condition that requires accurate diagnosis and treatment. One way to assist clinicians in this task is using computer-aided diagnosis (CAD) tools that auto…

eess.IV2021

Detecting COVID-19 and Community Acquired Pneumonia using Chest CT scan images with Deep Learning

Shubham Chaudhary, Sadbhawna, Vinit Jakhetiya +3

We propose a two-stage Convolutional Neural Network (CNN) based classification framework for detecting COVID-19 and Community-Acquired Pneumonia (CAP) using the chest Computed Tomo…

cs.CL2020

Detecting Emerging Symptoms of COVID-19 using Context-based Twitter Embeddings

Roshan Santosh, H. Andrew Schwartz, Johannes C. Eichstaedt +2

In this paper, we present an iterative graph-based approach for the detection of symptoms of COVID-19, the pathology of which seems to be evolving. More generally, the method can b…

cs.SI2020★ 2 cited

Twitter Corpus of the #BlackLivesMatter Movement And Counter Protests: 2013 to 2021

Salvatore Giorgi, Sharath Chandra Guntuku, McKenzie Himelein-Wachowiak +4

Black Lives Matter (BLM) is a decentralized social movement protesting violence against Black individuals and communities, with a focus on police brutality. The movement gained sig…

cs.SI2020★ 11 cited

Studying Politeness across Cultures Using English Twitter and Mandarin Weibo

Mingyang Li, Louis Hickman, Louis Tay +2

Modeling politeness across cultures helps to improve intercultural communication by uncovering what is considered appropriate and polite. We study the linguistic features associate…

cs.CL2019★ 6 cited

Studying Cultural Differences in Emoji Usage across the East and the West

Sharath Chandra Guntuku, Mingyang Li, Louis Tay +1

Global acceptance of Emojis suggests a cross-cultural, normative use of Emojis. Meanwhile, nuances in Emoji use across cultures may also exist due to linguistic differences in expr…

cs.HC2019

What Twitter Profile and Posted Images Reveal About Depression and Anxiety

Sharath Chandra Guntuku, Daniel Preotiuc-Pietro, Johannes C. Eichstaedt +1

Previous work has found strong links between the choice of social media images and users' emotions, demographics and personality traits. In this study, we examine which attributes…

cs.CL2018★ 30 cited

Understanding and Measuring Psychological Stress using Social Media

Sharath Chandra Guntuku, Anneke Buffone, Kokil Jaidka +2

A body of literature has demonstrated that users' mental health conditions, such as depression and anxiety, can be predicted from their social media language. There is still a gap…

cs.MM2016★ 2 cited

Personality, Culture, and System Factors - Impact on Affective Response to Multimedia

Sharath Chandra Guntuku, Michael James Scott, Gheorghita Ghinea +1

Whilst affective responses to various forms and genres of multimedia content have been well researched, precious few studies have investigated the combined impact that multimedia s…

cs.NI2013★ 18 cited

Real-time Peer-to-Peer Botnet Detection Framework based on Bayesian Regularized Neural Network

Sharath Chandra Guntuku, Pratik Narang, Chittaranjan Hota

Over the past decade, the Cyberspace has seen an increasing number of attacks coming from botnets using the Peer-to-Peer (P2P) architecture. Peer-to-Peer botnets use a decentralize…