activity
20202025
most citedEmergency Incident Detection from Crowdsourced Waze Data using Bayesian Information Fusion

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2025

Knowledge-guided Continual Learning for Behavioral Analytics Systems

Yasas Senarath, Hemant Purohit

User behavior on online platforms is evolving, reflecting real-world changes in how people post, whether it's helpful messages or hate speech. Models that learn to capture this con…

cs.HC2024

Closing the Knowledge Gap in Designing Data Annotation Interfaces for AI-powered Disaster Management Analytic Systems

Zinat Ara, Hossein Salemi, Sungsoo Ray Hong +4

Data annotation interfaces predominantly leverage ground truth labels to guide annotators toward accurate responses. With the growing adoption of Artificial Intelligence (AI) in do…

cs.LG2021

Practitioner-Centric Approach for Early Incident Detection Using Crowdsourced Data for Emergency Services

Yasas Senarath, Ayan Mukhopadhyay, Sayyed Mohsen Vazirizade +3

Emergency response is highly dependent on the time of incident reporting. Unfortunately, the traditional approach to receiving incident reports (e.g., calling 911 in the USA) has t…

cs.CL2020

Exploring Deep Neural Networks and Transfer Learning for Analyzing Emotions in Tweets

Yasas Senarath, Uthayasanker Thayasivam

In this paper, we present an experiment on using deep learning and transfer learning techniques for emotion analysis in tweets and suggest a method to interpret our deep learning m…

cs.SI2020★ 3 cited

Emergency Incident Detection from Crowdsourced Waze Data using Bayesian Information Fusion

Yasas Senarath, Saideep Nannapaneni, Hemant Purohit +1

The number of emergencies have increased over the years with the growth in urbanization. This pattern has overwhelmed the emergency services with limited resources and demands the…