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This post explains about active learning with help of bayesian linear regression.
This post gives a programmatic introduction to active learning using Bayesian linear regression.
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Published in ACM CSCW, 2020
We have studied public perception on air quality via Twitter analysis. We collected biggest openly available dataset and found several useful insights. For more info, please go through our paper.
Recommended citation: Rishiraj Adhikary, Zeel B. Patel, Tanmay Srivastava, Nipun Batra, Mayank Singh, Udit Bhatia, and Sarath Guttikunda. 2021. Vartalaap: What Drives #AirQuality Discussions: Politics, Pollution or Pseudo-science? Proc. ACM Hum.-Comput. Interact. 5, CSCW1, Article 96 (April 2021), 29 pages. DOI:https://doi.org/10.1145/3449170 https://dl.acm.org/doi/abs/10.1145/3449170
Published in 3rd Workshop on Visualization for AI Explainability, IEEE, VIS, 2020
This article explains basic active learning techinqiues with interactive visualizations.
Recommended citation: Zeel B Patel, Nipun Batra (2020). "Active Learning: A Visual Tour." IEEE VIS. https://patel-zeel.github.io/active-learning-visualization
Published in SenSys Posters, ACM SenSys, 2020
We have implemented well-known interpolation and sensor placement algorithms here.
Recommended citation: Zeel B Patel*, S Deepak Narayanan*, Apoorv Agnihotri, Nipun Batra; A toolkit for spatial interpolation and sensor placement; SenSys 2020 https://dl.acm.org/doi/pdf/10.1145/3384419.3430407