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Thilanka Munasinghe
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2020 – today
- 2024
- [c31]Zain Magdon-Ismail, Thilanka Munasinghe:
Prototyping an Information System to Address Geographic Disparities in Cardiac Rehabilitation Access in the United States. ICMHI 2024: 90-96 - [c30]Inwon Kang, Maruf Ahmed Mridul, Abraham Sanders, Yao Ma, Thilanka Munasinghe, Aparna Gupta, Oshani Seneviratne:
Deciphering Crypto Twitter. WebSci 2024: 331-342 - [i2]Inwon Kang, Maruf Ahmed Mridul, Abraham Sanders, Yao Ma, Thilanka Munasinghe, Aparna Gupta, Oshani Seneviratne:
Deciphering Crypto Twitter. CoRR abs/2403.06036 (2024) - 2023
- [c29]Saniya Nangia, Thilanka Munasinghe, Heidi Tubbs, Assaf Anyamba:
From Satellites to Fields: Machine Learning Applications for Prediction of Corn Production Using NDVI, Precipitation and Land Surface Temperature for Large Producer Countries. IEEE Big Data 2023: 3479-3488 - [c28]Tianze Zhu, Junyi Wu, Tingyi Tan, Shuheng Wang, Thilanka Munasinghe, Heidi Tubbs, Assaf Anyamba:
Integrating Climate Variable Data in Machine Learning Models for Predictive Analytics of Tomato Yields in California. IEEE Big Data 2023: 3538-3546 - [c27]Ethan Cruz, Thilanka Munasinghe:
Exploring Power Outage Prediction Using Weather and Socioeconomic Data in the Southeastern Part of the United States. IEEE Big Data 2023: 6138-6142 - [c26]Philip Chang, Ying-Tzu Yu, Abraham Sanders, Thilanka Munasinghe:
Perceiving the Ukraine-Russia Conflict: Topic Modeling and Clustering on Twitter Data. BigDataService 2023: 147-148 - 2022
- [c25]Vasundhara Acharya, Anindita Ghosh, Inwon Kang, Thilanka Munasinghe, K. C. Binita:
Landslide Likelihood Prediction using Machine Learning Algorithms. IEEE Big Data 2022: 5395-5403 - [c24]Thilanka Munasinghe, Brandon Behlendorf:
Using Graph Neural Networks to Investigate the Relationship Between the Socioeconomic Factors and Emergency Medical Service (EMS) Median Response Time in New York City. IEEE Big Data 2022: 6781-6783 - [c23]Yufei Wu, Thilanka Munasinghe, Lydia Manikonda, Oshani Seneviratne:
Data-driven Analysis of Remote Work in China during the COVID-19 Pandemic. HICSS 2022: 1-10 - [c22]Jonathan Harris, Thilanka Munasinghe, Heidi Tubbs, Assaf Anyamba:
Predicting Crimean-Congo Hemorrhagic Fever Outbreaks via Multivariate Time-Series Classification of Climate Data. ICMHI 2022: 215-218 - 2021
- [c21]Alexander He, Thilanka Munasinghe:
Chronic Respiratory Disease: Risk Modeling Potential and Limitations. IEEE BigData 2021: 1045-1053 - [c20]James Hicks, Thilanka Munasinghe:
Hidden Workforce: Analysis on Recognizing Unpaid Domestic Work Through Social Determinants. IEEE BigData 2021: 1418-1426 - [c19]Brendan Donnelly, Thilanka Munasinghe:
Binary Classification Edge Cases in Cyclones Using AlexNet and ResNet Neural Networks. IEEE BigData 2021: 4153-4155 - [c18]Ethan Joseph, Thilanka Munasinghe, Heidi Tubbs, Bhaskar Bishnoi, Assaf Anyamba:
Scraping Unstructured Data to Explore the Relationship between Rainfall Anomalies and Vector-Borne Disease Outbreaks. IEEE BigData 2021: 4156-4164 - [c17]Sharmad Joshi, Jessie Ann Owens, Shlok Shah, Thilanka Munasinghe:
Analysis of Preprocessing Techniques, Keras Tuner, and Transfer Learning on Cloud Street image data. IEEE BigData 2021: 4165-4168 - [c16]Gregory Saini, Thilanka Munasinghe, Kevin Pan:
Image Classification to identify Transverse Cirrus Band Clouds using Convolutional Neural Networks. IEEE BigData 2021: 4208-4210 - [c15]Lucas Standaert, Thilanka Munasinghe, Dongyoung Jang, Catherine Tate, Sean Lossef, Wilson Wong:
Covid Vaccine Risk Stratification. IEEE BigData 2021: 4421-4425 - [c14]Samantha Katcher, Josephine Lyons, Mia Price, Thilanka Munasinghe:
Development of a Rapid Prototyping COVID-19 Geographic Information System and the Influence of Testing Centers on Data Visualization. ICMHI 2021: 288-295 - [c13]Madison L. Chamberlain, Thilanka Munasinghe:
Personality Trait Analysis in Psychoactive Drug Abusers. ICMHI 2021: 308-315 - [c12]Thilanka Munasinghe, Amy Svirsky:
Engaging Students in Data Literacy: Lessons Learned from Data Intensive Classrooms. WebSci (Companion) 2021: 40-43 - [c11]Vipula Rawte, Hongyi Huang, Michael Morrison, Janine Wu, Travis Peterson, Thilanka Munasinghe:
Diabetes Tracker: An Information System to assist and track nutritional information. WebSci (Companion) 2021: 120-125 - [i1]Thilanka Munasinghe, H. R. Pasindu:
Sensing and Mapping for Better Roads: Initial Plan for Using Federated Learning and Implementing a Digital Twin to Identify the Road Conditions in a Developing Country - Sri Lanka. CoRR abs/2107.14551 (2021) - 2020
- [c10]Thilanka Munasinghe, Aayush Maheshwarkar, Karan Bhanot:
Socioeconomic and Geographic Variations that Impacts the Spread of Malaria. AI4SG@AAAI Fall Symposium 2020 - [c9]Gaurang Prasad, Thilanka Munasinghe, Oshani Seneviratne:
A Two-Step Framework for Parkinson's Disease Classification: Using Multiple One-Way ANOVA on Speech Features and Decision Trees. AI4SG@AAAI Fall Symposium 2020 - [c8]Ariane Maharaj, Thilanka Munasinghe:
Investigating the Relationship Between High-Latitude Dust and Precipitation. IEEE BigData 2020: 3934-3942 - [c7]Joshua Chuah, Thilanka Munasinghe:
Exploratory Data Analysis to Understand Social Determinants Important to Global Neonatal Mortality Rate. IEEE BigData 2020: 5649-5651 - [c6]Chau-Lin Charly Huang, Thilanka Munasinghe:
Exploring Various Applicable Techniques to Detect Smoke on the Satellite Images. IEEE BigData 2020: 5703-5705 - [c5]Yichen Zhang, Thilanka Munasinghe:
Exploring Image Segmentation Techniques to Detect High Latitude Dust on Satellite Images. IEEE BigData 2020: 5870-5871 - [c4]Karan Bhanot, Dominic Schroeder, Isaac Llewellyn, Nicholas Luczak, Thilanka Munasinghe:
Dengue Spread Information System (DSIS). ICMHI 2020: 150-159
2010 – 2019
- 2019
- [c3]Thilanka Munasinghe, Evan W. Patton, Oshani Seneviratne:
IoT Application Development Using MIT App Inventor to Collect and Analyze Sensor Data. IEEE BigData 2019: 6157-6159 - [c2]Lilian Ngweta, Karan Bhanot, Ariane Maharaj, Ian Bogle, Thilanka Munasinghe:
Identifying the Relationship between Precipitation and Zika Outbreaks in Argentina. IEEE BigData 2019: 6163-6165 - [c1]Joseph Sebastian, Thilanka Munasinghe:
Airline Miles Redemption. IEEE BigData 2019: 6217-6219 - 2015
- [j2]Marjorie Darrah, Jay Wilhelm, Thilanka Munasinghe, Kristin Duling, Steve Yokum, Eric Sorton, Jonathan Rojas, Mitchell Wathen:
A Flexible Genetic Algorithm System for Multi-UAV Surveillance: Algorithm and Flight Testing. Unmanned Syst. 3(1): 49-62 (2015) - 2013
- [j1]Marjorie Darrah, Edgar Fuller, Thilanka Munasinghe, Kristin Duling, Mridul Gautam, Mitchell Wathen:
Using Genetic Algorithms for Tasking Teams of Raven UAVs. J. Intell. Robotic Syst. 70(1-4): 361-371 (2013)
Coauthor Index
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last updated on 2024-10-16 21:21 CEST by the dblp team
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