Sanjay Purushotham

According to our database1, Sanjay Purushotham authored at least 21 papers between 2009 and 2018.

Collaborative distances:



In proceedings 
PhD thesis 




Benchmarking deep learning models on large healthcare datasets.
Journal of Biomedical Informatics, 2018

Hierarchical Deep Generative Models for Multi-Rate Multivariate Time Series.
Proceedings of the 35th International Conference on Machine Learning, 2018

Measuring and Predicting Tag Importance for Image Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets.
CoRR, 2017

m-TSNE: A Framework for Visualizing High-Dimensional Multivariate Time Series.
CoRR, 2017

Mining Human Mobility to Quantify Performance Status.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Time Series Feature Learning with Applications to Health Care.
Proceedings of the Mobile Health - Sensors, Analytic Methods, and Applications, 2017

Personalized Group Recommender Systems for Location- and Event-Based Social Networks.
ACM Trans. Spatial Algorithms and Systems, 2016

Measuring and Predicting Tag Importance for Image Retrieval.
CoRR, 2016

Recurrent Neural Networks for Multivariate Time Series with Missing Values.
CoRR, 2016

Normal / Abnormal Heart Sound Recordings Classification Using Convolutional Neural Network.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

Interpretable Deep Models for ICU Outcome Prediction.
Proceedings of the AMIA 2016, 2016

Distilling Knowledge from Deep Networks with Applications to Healthcare Domain.
CoRR, 2015

Modeling Group Dynamics for Personalized Group-Event Recommendation.
Proceedings of the Social Computing, Behavioral-Cultural Modeling, and Prediction, 2015

Factorized sparse learning models with interpretable high order feature interactions.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Collaborative group-activity recommendation in location-based social networks.
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information, 2014

Collaborative Topic Regression with Social Matrix Factorization for Recommendation Systems
CoRR, 2012

Collaborative Topic Regression with Social Matrix Factorization for Recommendation Systems.
Proceedings of the 29th International Conference on Machine Learning, 2012

Hierarchical bag-of-words model for joint multi-view object representation and classification.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2012

Video Genre Inference Based on Camera Capturing Models.
Proceedings of the Video Search and Mining, 2010

Separation of Professional and Amateur Video in Large Video Collections.
Proceedings of the Advances in Multimedia Information Processing, 2009