18 citations · 34 across the 8 of their papers we have counts for
9 papers
Filling out the missing gaps: Time Series Imputation with Semi-Supervised Learning
Karan Aggarwal, Jaideep Srivastava
Missing data in time series is a challenging issue affecting time series analysis. Missing data occurs due to problems like data drops or sensor malfunctioning. Imputation methods…
Embarrassingly Simple MixUp for Time-series
Karan Aggarwal, Jaideep Srivastava
Labeling time series data is an expensive task because of domain expertise and dynamic nature of the data. Hence, we often have to deal with limited labeled data settings. Data aug…
Using Clinical Notes with Time Series Data for ICU Management
Swaraj Khadanga, Karan Aggarwal, Shafiq Joty +1
Monitoring patients in ICU is a challenging and high-cost task. Hence, predicting the condition of patients during their ICU stay can help provide better acute care and plan the ho…
Benchmarking Regression Methods: A comparison with CGAN
Karan Aggarwal, Matthieu Kirchmeyer, Pranjul Yadav +2
In recent years, impressive progress has been made in the design of implicit probabilistic models via Generative Adversarial Networks (GAN) and its extension, the Conditional GAN (…
Two Birds with One Network: Unifying Failure Event Prediction and Time-to-failure Modeling
Karan Aggarwal, Onur Atan, Ahmed Farahat +3
One of the key challenges in predictive maintenance is to predict the impending downtime of an equipment with a reasonable prediction horizon so that countermeasures can be put in…
Adversarial Unsupervised Representation Learning for Activity Time-Series
Karan Aggarwal, Shafiq Joty, Luis Fernandez-Luque +1
Sufficient physical activity and restful sleep play a major role in the prevention and cure of many chronic conditions. Being able to proactively screen and monitor such chronic co…
Temporal Proximity induces Attributes Similarity
Arun Kumar, Karan Aggarwal, Paul Schrater
Users consume their favorite content in temporal proximity of consumption bundles according to their preferences and tastes. Thus, the underlying attributes of items implicitly mat…
A Structured Learning Approach with Neural Conditional Random Fields for Sleep Staging
Karan Aggarwal, Swaraj Khadanga, Shafiq R. Joty +2
Sleep plays a vital role in human health, both mental and physical. Sleep disorders like sleep apnea are increasing in prevalence, with the rapid increase in factors like obesity.…
Co-Morbidity Exploration on Wearables Activity Data Using Unsupervised Pre-training and Multi-Task Learning
Karan Aggarwal, Shafiq Joty, Luis F. Luque +1
Physical activity and sleep play a major role in the prevention and management of many chronic conditions. It is not a trivial task to understand their impact on chronic conditions…