4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.AI2023
No Imputation Needed: A Switch Approach to Irregularly Sampled Time Series
Rohit Agarwal, Aman Sinha, Ayan Vishwakarma +5
Modeling irregularly-sampled time series (ISTS) is challenging because of missing values. Most existing methods focus on handling ISTS by converting irregularly sampled data into r…
eess.IV2020★ 4 cited
Artefact removal in ground truth and noise model deficient sub-cellular nanoscopy images using auto-encoder deep learning
Suyog Jadhav, Sebastian Acuña, Krishna Agarwal +1
Image denoising or artefact removal using deep learning is possible in the availability of supervised training dataset acquired in real experiments or synthesized using known noise…