no code implementations • 24 Mar 2024 • Ruyi Yang, Jingyu Hu, Zihao Li, Jianli Mu, Tingzhao Yu, Jiangjiang Xia, Xuhong LI, Aritra Dasgupta, Haoyi Xiong
Advanced machine learning models have recently achieved high predictive accuracy for weather and climate prediction.
no code implementations • 10 Nov 2023 • Kaustav Bhattacharjee, Soumya Kundu, Indrasis Chakraborty, Aritra Dasgupta
Accurate net load forecasting is vital for energy planning, aiding decisions on trade and load distribution.
no code implementations • 28 Aug 2023 • Jun Yuan, Kaustav Bhattacharjee, Akm Zahirul Islam, Aritra Dasgupta
In this paper, we aim to enable transparency in ranking interpretation by using algorithmic rankers that learn from available data and by enabling human reasoning about the learned ranking differences using explainable AI (XAI) methods.
1 code implementation • 4 May 2017 • Josua Krause, Aritra Dasgupta, Jordan Swartz, Yindalon Aphinyanaphongs, Enrico Bertini
Human-in-the-loop data analysis applications necessitate greater transparency in machine learning models for experts to understand and trust their decisions.