Yasas Senarath
Orcid: 0000-0002-8759-378X
According to our database1,
Yasas Senarath
authored at least 15 papers
between 2017 and 2024.
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Bibliography
2024
Designing a Human-centered AI Tool for Proactive Incident Detection Using Crowdsourced Data Sources to Support Emergency Response.
Digit. Gov. Res. Pract., March, 2024
Closing the Knowledge Gap in Designing Data Annotation Interfaces for AI-powered Disaster Management Analytic Systems.
Proceedings of the 29th International Conference on Intelligent User Interfaces, 2024
2023
Summarizing Social Media & News Streams for Crisis-related Events by Integrated Content-Graph Analysis: TREC-2023 CrisisFACTS Track.
Proceedings of the Thirty-Second Text REtrieval Conference Proceedings (TREC 2023), 2023
2022
Human-AI Teaming for COVID-19 Response: A Practice & Research Collaboration Case Study.
Proceedings of the 19th International Conference on Information Systems for Crisis Response and Management, 2022
PROBER: A System for Real-time Propaganda Behavior Analytics on Social Media and Web Data Streams.
Proceedings of the IEEE International Conference on Big Data, 2022
2021
Efficient Detection of Multilingual Hate Speech by Using Interactive Attention Network with Minimal Human Feedback.
Proceedings of the WebSci '21: 13th ACM Web Science Conference 2021, 2021
Evaluating the Relevance of UMLS Knowledge Base for Public Health Informatics during Disasters.
Proceedings of the 18th International Conference on Information Systems for Crisis Response and Management, 2021
Proceedings of the 18th International Conference on Information Systems for Crisis Response and Management, 2021
Practitioner-Centric Approach for Early Incident Detection Using Crowdsourced Data for Emergency Services.
Proceedings of the IEEE International Conference on Data Mining, 2021
Online-Computer-Mediated Interviews and Observations: Overcoming Challenges and Establishing Best Practices in a Human-AI Teaming Context.
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021
2020
Exploring Deep Neural Networks and Transfer Learning for Analyzing Emotions in Tweets.
CoRR, 2020
Emergency Incident Detection from Crowdsourced Waze Data using Bayesian Information Fusion.
Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020
Evaluating Semantic Feature Representations to Efficiently Detect Hate Intent on Social Media.
Proceedings of the IEEE 14th International Conference on Semantic Computing, 2020
2018
DataSEARCH at IEST 2018: Multiple Word Embedding based Models for Implicit Emotion Classification of Tweets with Deep Learning.
Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, 2018
2017
Proceedings of the 29th Conference on Computational Linguistics and Speech Processing, 2017