Journal articles

    Rabindra Lamsal and Shubham Katiyar. (2020). cs-means: Determining Optimal Number of Clusters Based on a Level-of-Similarity. SN Appl. Sci. 2, 1774.

    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. (2020). Tracking COVID-19 Discourse: Design of a Large-Scale Coronavirus Tweets Dataset.

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

Book Chapters

    Rabindra Lamsal and T.V. Vijay Kumar. (2020). Artificial Intelligence and Early Warning Systems. Will appear in the book AI and Robotics in Disaster Studies (Palgrave Macmillan).

    Rabindra Lamsal and T.V. Vijay Kumar. (2020). Artificial Intelligence Based Early Warning System for Coastal Disasters. Will appear in the book Development in Coastal Zones and Disaster Management (Palgrave Macmillan).

    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

    Rabindra Lamsal. (2020). Coronavirus (COVID-19) Tweets Dataset. IEEE Dataport. http://dx.doi.org/10.21227/781w-ef42

    Rabindra Lamsal. (2020). Coronavirus (COVID-19) Geo-tagged Tweets Dataset. IEEE Dataport. http://dx.doi.org/10.21227/fpsb-jz61

    Rabindra Lamsal. (2020). A Large Scale Nepali Text Corpus. IEEE Dataport. http://dx.doi.org/10.21227/jxrd-d245

    Rabindra Lamsal. (2019). 300-Dimensional Word Embeddings for Nepali Language. IEEE Dataport. http://dx.doi.org/10.21227/dz6s-my90