Journal articles

    Rabindra Lamsal. (2020). Design and analysis of a large-scale COVID-19 tweets dataset. Applied Intelligence. https://doi.org/10.1007/s10489-020-02029-z

    Rabindra Lamsal and Shubham Katiyar. (2020). cs-means: Determining Optimal Number of Clusters Based on a Level-of-Similarity. SN Applied Sciences 2, 1774. https://doi.org/10.1007/s42452-020-03582-5

    Rabindra Lamsal and T.V. Vijay Kumar. (2020). Twitter based Disaster Response using Recurrent Nets. International Journal of Disaster Response and Emergency Management, 3(1). [yet to be online]

    Under review
    Rabindra Lamsal and T.V. Vijay Kumar. (2020). Twitter based Disaster Response using traditional Machine Learning Algorithms.

Book Chapters & Conferences

    Rabindra Lamsal and T.V. Vijay Kumar. (2020). Artificial Intelligence and Early Warning Systems. In AI and Robotics in Disaster Studies (pp. 13-32). Palgrave Macmillan, Singapore. https://doi.org/10.1007/978-981-15-4291-6_2

    Rabindra Lamsal and T.V. Vijay Kumar. (2020). Artificial Intelligence Based Early Warning System for Coastal Disasters. In Development in Coastal Zones and Disaster Management (pp. 305-320). Palgrave Macmillan, Singapore. https://doi.org/10.1007/978-981-15-4294-7_21

    Rabindra Lamsal and T.V. Vijay Kumar. (2019). Artificial Intelligence based Disaster Response Systems. Fourth World Congress on Disaster Management. January 29-February 1, 2019, Indian Institute of Technology Bombay, India.

In the Preprint

    Rabindra Lamsal and Ayesha Choudhary. (2018). Predicting Outcome of Indian Premier League (IPL) Matches Using Machine Learning. [arXiv]

Poster Presentation

    Rabindra Lamsal and T.V. Vijay Kumar. (2019). Social Media Analytics for Disaster Response using Artificial Intelligence. National Science Day, New Delhi, India.

Public Datasets