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Yasas Senarath
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2020 – today
- 2024
- [j1]Yasas Senarath, Ayan Mukhopadhyay, Hemant Purohit, Abhishek Dubey:
Designing a Human-centered AI Tool for Proactive Incident Detection Using Crowdsourced Data Sources to Support Emergency Response. Digit. Gov. Res. Pract. 5(1): 9:1-9:19 (2024) - [c13]Zinat Ara, Hossein Salemi, Sungsoo Ray Hong, Yasas Senarath, Steve Peterson, Amanda Lee Hughes, Hemant Purohit:
Closing the Knowledge Gap in Designing Data Annotation Interfaces for AI-powered Disaster Management Analytic Systems. IUI 2024: 405-418 - [i4]Zinat Ara, Hossein Salemi, Sungsoo Ray Hong, Yasas Senarath, Steve Peterson, Amanda Lee Hughes, Hemant Purohit:
Closing the Knowledge Gap in Designing Data Annotation Interfaces for AI-powered Disaster Management Analytic Systems. CoRR abs/2403.01722 (2024) - 2023
- [c12]Hossein Salemi, Yasas Senarath, Tarin Sultana Sharika, Anuridhi Gupta, Hemant Purohit:
Summarizing Social Media & News Streams for Crisis-related Events by Integrated Content-Graph Analysis: TREC-2023 CrisisFACTS Track. TREC 2023 - 2022
- [c11]Yasas Senarath, Antonios Anastasopoulos, Tonya Thornton, Hemant Purohit:
PROBER: A System for Real-time Propaganda Behavior Analytics on Social Media and Web Data Streams. IEEE Big Data 2022: 4812-4815 - [c10]Amanda Lee Hughes, Keri K. Stephens, Steve Peterson, Hemant Purohit, Anastazja Harris, Yasas Senarath, S. Ashley Jarvis, Caroline Montagnolo, Karim Nader:
Human-AI Teaming for COVID-19 Response: A Practice & Research Collaboration Case Study. ISCRAM 2022: 1048-1057 - 2021
- [c9]Keri K. Stephens, Karim Nader, Anastazja Harris, Caroline Montagnolo, Amanda Lee Hughes, Ashley Stevens, Yasas Pramuditha Senarath Wijesuriya, Hemant Purohit:
Online-Computer-Mediated Interviews and Observations: Overcoming Challenges and Establishing Best Practices in a Human-AI Teaming Context. HICSS 2021: 1-10 - [c8]Yasas Senarath, Ayan Mukhopadhyay, Sayyed Mohsen Vazirizade, Hemant Purohit, Saideep Nannapaneni, Abhishek Dubey:
Practitioner-Centric Approach for Early Incident Detection Using Crowdsourced Data for Emergency Services. ICDM 2021: 1318-1323 - [c7]Yasas Senarath, Jennifer L. Chan, Hemant Purohit, Özlem Uzuner:
Evaluating the Relevance of UMLS Knowledge Base for Public Health Informatics during Disasters. ISCRAM 2021: 97-105 - [c6]Hoang Long Nguyen, Yasas Senarath, Hemant Purohit, Rajendra Akerkar:
Towards a Design of Resilience Data Repository for Community Resilience. ISCRAM 2021: 271-281 - [c5]Fedor Vitiugin, Yasas Senarath, Hemant Purohit:
Efficient Detection of Multilingual Hate Speech by Using Interactive Attention Network with Minimal Human Feedback. WebSci 2021: 130-138 - [i3]Yasas Senarath, Ayan Mukhopadhyay, Sayyed Mohsen Vazirizade, Hemant Purohit, Saideep Nannapaneni, Abhishek Dubey:
Practitioner-Centric Approach for Early Incident Detection Using Crowdsourced Data for Emergency Services. CoRR abs/2112.02012 (2021) - 2020
- [c4]Yasas Senarath, Hemant Purohit:
Evaluating Semantic Feature Representations to Efficiently Detect Hate Intent on Social Media. ICSC 2020: 199-202 - [c3]Yasas Senarath, Saideep Nannapaneni, Hemant Purohit, Abhishek Dubey:
Emergency Incident Detection from Crowdsourced Waze Data using Bayesian Information Fusion. WI/IAT 2020: 187-194 - [i2]Yasas Senarath, Saideep Nannapaneni, Hemant Purohit, Abhishek Dubey:
Emergency Incident Detection from Crowdsourced Waze Data using Bayesian Information Fusion. CoRR abs/2011.05440 (2020) - [i1]Yasas Senarath, Uthayasanker Thayasivam:
Exploring Deep Neural Networks and Transfer Learning for Analyzing Emotions in Tweets. CoRR abs/2012.06025 (2020)
2010 – 2019
- 2018
- [c2]Yasas Senarath, Uthayasanker Thayasivam:
DataSEARCH at IEST 2018: Multiple Word Embedding based Models for Implicit Emotion Classification of Tweets with Deep Learning. WASSA@EMNLP 2018: 211-216 - 2017
- [c1]Nadheesh Jihan, Yasas Senarath, Dulanjaya Tennekoon, Mithila Wickramarathne, Surangika Ranathunga:
Multi-Domain Aspect Extraction Using Support Vector Machines. ROCLING 2017: 308-322
Coauthor Index
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last updated on 2024-11-27 21:24 CET by the dblp team
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