Sanjay Purushotham

According to our database, Sanjay Purushotham authored at least 58 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

gWaveNet: Classification of Gravity Waves from Noisy Satellite Data using Custom Kernel Integrated Deep Learning Method.

Seraj Al Mahmud Mostafa, Omar Faruque, Chenxi Wang, Jia Yue, Sanjay Purushotham, Jianwu Wang

CoRR, 2024

The 10th Mining and Learning from Time Series Workshop: From Classical Methods to LLMs.

Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Cong Shen, Stefan Zohren, Yuriy Nevmyvaka

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

CloudUNet: Adapting UNet for Retrieving Cloud Properties.

Zahid Hassan Tushar, Adeleke Ademakinwa, Jianwu Wang, Zhibo Zhang, Sanjay Purushotham

Proceedings of the IGARSS 2024, 2024

Assessing Annotation Accuracy in Ice Sheets Using Quantitative Metrics.

Bayu Adhi Tama, Vandana P. Janeja, Sanjay Purushotham

Proceedings of the IGARSS 2024, 2024

ARSFineTune: On-the-Fly Tuning of Vision Models for Unmanned Ground Vehicles.

Masud Ahmed, Zahid Hasan, Abu Zaher Md Faridee, Mohammad Saeid Anwar, Kasthuri Jayarajah, Sanjay Purushotham, Suya You, Nirmalya Roy

Proceedings of the 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things, 2024

2023

Novel Categories Discovery from probability matrix perspective.

Zahid Hasan, Abu Zaher Md Faridee, Masud Ahmed, Sanjay Purushotham, Heesung Kwon, Hyungtae Lee, Nirmalya Roy

CoRR, 2023

International Workshop on Digital Twins for Smart Health.

Jun Deng, Ying Ding, Luke Achenie, Jinwei Liu, Shimei Pan, Sanjay Purushotham, Huanmei Wu, Qi Wang

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

An Online Continuous Semantic Segmentation Framework With Minimal Labeling Efforts.

Masud Ahmed, Zahid Hasan, Tim Yingling, Eric O'Leary, Sanjay Purushotham, Suya You, Nirmalya Roy

Proceedings of the 2023 IEEE International Conference on Smart Computing, 2023

Multi-state Survival Analysis using Pseudo value-based Deep Neural Networks.

Md Mahmudur Rahman, Sanjay Purushotham

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

A Generative Approach for Image Registration of Visible-Thermal (VT) Cancer Faces.

Catherine Ordun, Alexandra N. Cha, Edward Raff, Sanjay Purushotham, Karen Kwok, Mason Rule, James L. Gulley

Proceedings of the Artificial Intelligence Over Infrared Images for Medical Applications (AIIIMA 2023), 2023

FedPseudo: Privacy-Preserving Pseudo Value-Based Deep Learning Models for Federated Survival Analysis.

Md. Mahmudur Rahman, Sanjay Purushotham

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

The 9th SIGKDD International Workshop on Mining and Learning from Time Series.

Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Cong Shen, Yuriy Nevmyvaka

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

CNN based Ocean Eddy Detection Using Cloud Services.

Seraj Al Mahmud Mostafa, Jinbo Wang, Benjamin Holt, Sanjay Purushotham, Jianwu Wang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

When Visible-to-Thermal Facial GAN Beats Conditional Diffusion.

Catherine Ordun, Edward Raff, Sanjay Purushotham

Proceedings of the IEEE International Conference on Image Processing, 2023

NEV-NCD: Negative Learning, Entropy, and Variance Regularization Based Novel Action Categories Discovery.

Zahid Hasan, Masud Ahmed, Abu Zaher Md Faridee, Sanjay Purushotham, Heesung Kwon, Hyungtae Lee, Nirmalya Roy

Proceedings of the IEEE International Conference on Image Processing, 2023

Vista Morph - Unsupervised Image Registration of Visible-Thermal Facial Pairs.

Catherine Ordun, Edward Raff, Sanjay Purushotham

Proceedings of the IEEE International Joint Conference on Biometrics, 2023

Federated Competing Risk Analysis.

Md Mahmudur Rahman, Sanjay Purushotham

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

DRLO: Deep Representation Learning for Large Scale Off-track Satellite Remote Sensing Data.

Xin Huang, Chenxi Wang, Wenbin Zhang, Sanjay Purushotham, Jianwu Wang

Proceedings of the IEEE International Conference on Big Data, 2023

2022

A review of Earth Artificial Intelligence.

Ziheng Sun, Laura Sandoval, Robert Crystal-Ornelas, S. Mostafa Mousavi, Jinbo Wang, Cindy Lin, Nicoleta Cristea, Daniel Q. Tong, Wendy Hawley Carande, Xiaogang Ma, Yuhan Rao, James A. Bednar, Amanda Tan, Jianwu Wang, Sanjay Purushotham, Thomas E. Gill, Julien Chastang, Daniel Howard, Benjamin Holt, Chandana Gangodagamage, Peisheng Zhao, Zachary Chester, Javier Orduz, Aji John

Comput. Geosci., 2022

Pseudo value-based Deep Neural Networks for Multi-state Survival Analysis.

Md. Mahmudur Rahman, Sanjay Purushotham

CoRR, 2022

FedPseudo: Pseudo value-based Deep Learning Models for Federated Survival Analysis.

Md. Mahmudur Rahman, Sanjay Purushotham

CoRR, 2022

Intelligent Sight and Sound: A Chronic Cancer Pain Dataset.

Catherine Ordun, Alexandra N. Cha, Edward Raff, Byron Gaskin, Alex Hanson, Mason Rule, Sanjay Purushotham, James L. Gulley

CoRR, 2022

Fair and Interpretable Models for Survival Analysis.

Md. Mahmudur Rahman, Sanjay Purushotham

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

8th SIGKDD International Workshop on Mining and Learning from Time Series - Deep Forecasting: Models, Interpretability, and Applications.

Sanjay Purushotham, Jun Huan, Cong Shen, Dongjin Song, Yuyang Wang, Jan Gasthaus, Hilaf Hasson, Youngsuk Park, Sungyong Seo, Yuriy Nevmyvaka

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

VDAM: VAE based domain adaptation for cloud property retrieval from multi-satellite data.

Xin Huang, Chenxi Wang, Sanjay Purushotham, Jianwu Wang

Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

GADAN: Generative Adversarial Domain Adaptation Network For Debris Detection Using Drone.

Masud Ahmed, Naima Khan, Pretom Roy Ovi, Nirmalya Roy, Sanjay Purushotham, Aryya Gangopadhyay, Suya You

Proceedings of the 18th International Conference on Distributed Computing in Sensor Systems, 2022

Atmospheric Gravity Wave Detection Using Transfer Learning Techniques.

Jorge López González, Theodore Chapman, Kathryn Chen, Hannah Nguyen, Logan Chambers, Seraj Al Mahmud Mostafa, Jianwu Wang, Sanjay Purushotham, Chenxi Wang, Jia Yue

Proceedings of the IEEE/ACM International Conference on Big Data Computing, 2022

2021

Intelligent Sight and Sound: A Chronic Cancer Facial Pain Dataset.

Catherine Ordun, Alexandra N. Cha, Edward Raff, Byron Gaskin, Alex Hanson, Mason Rule, Sanjay Purushotham, James L. Gulley

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

MiLeTS'21: 7th KDD Workshop on Mining and Learning from Time Series.

Sanjay Purushotham, Yaguang Li, Zhengping Che

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Generating Thermal Human Faces for Physiological Assessment using Thermal Sensor Auxiliary Labels.

Catherine Ordun, Edward Raff, Sanjay Purushotham

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

PseudoNAM: A Pseudo Value Based Interpretable Neural Additive Model for Survival Analysis.

Md. Mahmudur Rahman, Sanjay Purushotham

Proceedings of the AAAI 2021 Fall Symposium on Human Partnership with Medical AI: Design, 2021

DeepPseudo: Pseudo Value Based Deep Learning Models for Competing Risk Analysis.

Md. Mahmudur Rahman, Koji Matsuo, Shinya Matsuzaki, Sanjay Purushotham

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

The Use of AI for Thermal Emotion Recognition: A Review of Problems and Limitations in Standard Design and Data.

Catherine Ordun, Edward Raff, Sanjay Purushotham

CoRR, 2020

Exploratory Analysis of Covid-19 Tweets using Topic Modeling, UMAP, and DiGraphs.

Catherine Ordun, Sanjay Purushotham, Edward Raff

CoRR, 2020

Deep Domain Adaptation based Cloud Type Detection using Active and Passive Satellite Data.

Xin Huang, Sahara Ali, Chenxi Wang, Zeyu Ning, Sanjay Purushotham, Jianwu Wang, Zhibo Zhang

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2018

Benchmarking deep learning models on large healthcare datasets.

Sanjay Purushotham, Chuizheng Meng, Zhengping Che, Yan Liu

J. Biomed. Informatics, 2018

Neural Interaction Transparency (NIT): Disentangling Learned Interactions for Improved Interpretability.

Michael Tsang, Hanpeng Liu, Sanjay Purushotham, Pavankumar Murali, Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Hierarchical Deep Generative Models for Multi-Rate Multivariate Time Series.

Zhengping Che, Sanjay Purushotham, Max Guangyu Li, Bo Jiang, Yan Liu

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Measuring and Predicting Tag Importance for Image Retrieval.

Shangwen Li, Sanjay Purushotham, Chen Chen, Yuzhuo Ren, C.-C. Jay Kuo

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets.

Sanjay Purushotham, Chuizheng Meng, Zhengping Che, Yan Liu

CoRR, 2017

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

Minh Nguyen, Sanjay Purushotham, Hien To, Cyrus Shahabi

CoRR, 2017

Variational Recurrent Adversarial Deep Domain Adaptation.

Sanjay Purushotham, Wilka Carvalho, Tanachat Nilanon, Yan Liu

Proceedings of the 5th International Conference on Learning Representations, 2017

Mining Human Mobility to Quantify Performance Status.

Minh N. B. Nguyen, Zaki Hasnain, Ming Li, Tanya Dorff, David Quinn, Sanjay Purushotham, Luciano Nocera, Paul K. Newton, Peter Kuhn, Jorge Nieva, Cyrus Shahabi

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Time Series Feature Learning with Applications to Health Care.

Zhengping Che, Sanjay Purushotham, David C. Kale, Wenzhe Li, Mohammad Taha Bahadori, Robinder G. Khemani, Yan Liu

Proceedings of the Mobile Health - Sensors, Analytic Methods, and Applications, 2017

2016

Personalized Group Recommender Systems for Location- and Event-Based Social Networks.

Sanjay Purushotham, C.-C. Jay Kuo

ACM Trans. Spatial Algorithms Syst., 2016

Recurrent Neural Networks for Multivariate Time Series with Missing Values.

Zhengping Che, Sanjay Purushotham, Kyunghyun Cho, David A. Sontag, Yan Liu

CoRR, 2016

Normal / Abnormal Heart Sound Recordings Classification Using Convolutional Neural Network.

Tanachat Nilanon, Sanjay Purushotham, Yan Liu

Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

Interpretable Deep Models for ICU Outcome Prediction.

Zhengping Che, Sanjay Purushotham, Robinder G. Khemani, Yan Liu

Proceedings of the AMIA 2016, 2016

2015

Distilling Knowledge from Deep Networks with Applications to Healthcare Domain.

Zhengping Che, Sanjay Purushotham, Robinder G. Khemani, Yan Liu

CoRR, 2015

Modeling Group Dynamics for Personalized Group-Event Recommendation.

Sanjay Purushotham, C.-C. Jay Kuo

Proceedings of the Social Computing, Behavioral-Cultural Modeling, and Prediction, 2015

2014

Factorized sparse learning models with interpretable high order feature interactions.

Sanjay Purushotham, Martin Renqiang Min, C.-C. Jay Kuo, Rachel Ostroff

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Collaborative group-activity recommendation in location-based social networks.

Sanjay Purushotham, C.-C. Jay Kuo, Junaith Shahabdeen, Lama Nachman

Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information, 2014

2012

Collaborative Topic Regression with Social Matrix Factorization for Recommendation Systems

Sanjay Purushotham, Yan Liu, C.-C. Jay Kuo

CoRR, 2012

Collaborative Topic Regression with Social Matrix Factorization for Recommendation Systems.

Sanjay Purushotham, Yan Liu

Proceedings of the 29th International Conference on Machine Learning, 2012

Hierarchical bag-of-words model for joint multi-view object representation and classification.

Xiang Fu, Sanjay Purushotham, Daru Xu, Jian Li, C.-C. Jay Kuo

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2012

2011

Picture-in-picture copy detection using spatial coding techniques.

Sanjay Purushotham, Qi Tian, C.-C. Jay Kuo

Proceedings of the 2011 ACM international workshop on Automated media analysis and production for novel TV services, 2011

2010

Video Genre Inference Based on Camera Capturing Models.

Ping-Hao Wu, Sanjay Purushotham, C.-C. Jay Kuo

Proceedings of the Video Search and Mining, 2010

2009

Separation of Professional and Amateur Video in Large Video Collections.

Ping-Hao Wu, Tanaphol Thaipanich, Sanjay Purushotham, C.-C. Jay Kuo

Proceedings of the Advances in Multimedia Information Processing, 2009