Sanjay Purushotham

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 51

Top Topics

Domain Adaptation

Survival Analysis

Learning Models

Top Venues

HUMAN@AAAI Fall Symposium

Publications

Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Cong Shen, Stefan Zohren, Yuriy Nevmyvaka
The 10th Mining and Learning from Time Series Workshop: From Classical Methods to LLMs. KDD (2024)
Masud Ahmed, Zahid Hasan, Abu Zaher Md Faridee, Mohammad Saeid Anwar, Kasthuri Jayarajah, Sanjay Purushotham, Suya You, Nirmalya Roy
ARSFineTune: On-the-Fly Tuning of Vision Models for Unmanned Ground Vehicles. DCOSS-IoT (2024)
Bayu Adhi Tama, Vandana Pursnani Janeja, Sanjay Purushotham
Assessing Annotation Accuracy in Ice Sheets Using Quantitative Metrics. CoRR (2024)
Zahid Hasan, Masud Ahmed, Abu Zaher Md Faridee, Sanjay Purushotham, Heesung Kwon, Hyungtae Lee, Nirmalya Roy
NEV-NCD: Negative Learning, Entropy, and Variance regularization based novel action categories discovery. CoRR (2023)
Zahid Hasan, Abu Zaher Md Faridee, Masud Ahmed, Sanjay Purushotham, Heesung Kwon, Hyungtae Lee, Nirmalya Roy
Novel Categories Discovery from probability matrix perspective. CoRR (2023)
Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Cong Shen, Yuriy Nevmyvaka
The 9th SIGKDD International Workshop on Mining and Learning from Time Series. KDD (2023)
Catherine Ordun, Alexandra N. Cha, Edward Raff, Sanjay Purushotham, Karen Kwok, Mason Rule, James L. Gulley
A Generative Approach for Image Registration of Visible-Thermal (VT) Cancer Faces. CoRR (2023)
Masud Ahmed, Zahid Hasan, Tim Yingling, Eric O'Leary, Sanjay Purushotham, Suya You, Nirmalya Roy
An Online Continuous Semantic Segmentation Framework With Minimal Labeling Efforts. SMARTCOMP (2023)
Seraj Al Mahmud Mostafa, Jinbo Wang, Benjamin Holt, Sanjay Purushotham, Jianwu Wang
CNN based Ocean Eddy Detection Using Cloud Services. IGARSS (2023)
Catherine Ordun, Edward Raff, Sanjay Purushotham
Vista Morph - Unsupervised Image Registration of Visible-Thermal Facial Pairs. IJCB (2023)
Catherine Ordun, Edward Raff, Sanjay Purushotham
When Visible-to-Thermal Facial GAN Beats Conditional Diffusion. ICIP (2023)
Zahid Hasan, Masud Ahmed, Abu Zaher Md Faridee, Sanjay Purushotham, Heesung Kwon, Hyungtae Lee, Nirmalya Roy
NEV-NCD: Negative Learning, Entropy, and Variance Regularization Based Novel Action Categories Discovery. ICIP (2023)
Xin Huang, Chenxi Wang, Wenbin Zhang, Sanjay Purushotham, Jianwu Wang
DRLO: Deep Representation Learning for Large Scale Off-track Satellite Remote Sensing Data. BigData (2023)
Catherine Ordun, Edward Raff, Sanjay Purushotham
When Visible-to-Thermal Facial GAN Beats Conditional Diffusion. CoRR (2023)
Jun Deng, Ying Ding, Luke Achenie, Jinwei Liu, Shimei Pan, Sanjay Purushotham, Huanmei Wu, Qi Wang
International Workshop on Digital Twins for Smart Health. WWW (Companion Volume) (2023)
Md Mahmudur Rahman, Sanjay Purushotham
Multi-state Survival Analysis using Pseudo value-based Deep Neural Networks. SDM (2023)
Md Mahmudur Rahman, Sanjay Purushotham
Federated Competing Risk Analysis. CIKM (2023)
Catherine Ordun, Edward Raff, Sanjay Purushotham
Vista-Morph: Unsupervised Image Registration of Visible-Thermal Facial Pairs. CoRR (2023)
Md. Mahmudur Rahman, Sanjay Purushotham
FedPseudo: Privacy-Preserving Pseudo Value-Based Deep Learning Models for Federated Survival Analysis. KDD (2023)
Catherine Ordun, Alexandra N. Cha, Edward Raff, Sanjay Purushotham, Karen Kwok, Mason Rule, James L. Gulley
A Generative Approach for Image Registration of Visible-Thermal (VT) Cancer Faces. AIIIMA@MICCAI (2023)
Jorge López González, Theodore Chapman, Kathryn Chen, Hannah Nguyen, Logan Chambers, Seraj A. M. Mostafa, Jianwu Wang, Sanjay Purushotham, Chenxi Wang, Jia Yue
Atmospheric Gravity Wave Detection Using Transfer Learning Techniques. BDCAT (2022)
Md. Mahmudur Rahman, Sanjay Purushotham
FedPseudo: Pseudo value-based Deep Learning Models for Federated Survival Analysis. CoRR (2022)
Md. Mahmudur Rahman, Sanjay Purushotham
Pseudo value-based Deep Neural Networks for Multi-state Survival Analysis. CoRR (2022)
Sanjay Purushotham, Jun Huan, Cong Shen, Dongjin Song, Yuyang Wang, Jan Gasthaus, Hilaf Hasson, Youngsuk Park, Sungyong Seo, Yuriy Nevmyvaka
8th SIGKDD International Workshop on Mining and Learning from Time Series - Deep Forecasting: Models, Interpretability, and Applications. KDD (2022)
Ziheng Sun, Laura Sandoval, Robert Crystal-Ornelas, S. Mostafa Mousavi, Jinbo Wang, Cindy Lin, Nicoleta Cristea, Daniel 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
A review of Earth Artificial Intelligence. Comput. Geosci. 159 (2022)
Xin Huang, Chenxi Wang, Sanjay Purushotham, Jianwu Wang
VDAM: VAE based domain adaptation for cloud property retrieval from multi-satellite data. SIGSPATIAL/GIS (2022)
Catherine Ordun, Alexandra N. Cha, Edward Raff, Byron Gaskin, Alex Hanson, Mason Rule, Sanjay Purushotham, James L. Gulley
Intelligent Sight and Sound: A Chronic Cancer Pain Dataset. CoRR (2022)
Masud Ahmed, Naima Khan, Pretom Roy Ovi, Nirmalya Roy, Sanjay Purushotham, Aryya Gangopadhyay, Suya You
GADAN: Generative Adversarial Domain Adaptation Network For Debris Detection Using Drone. DCOSS (2022)
Md. Mahmudur Rahman, Sanjay Purushotham
Fair and Interpretable Models for Survival Analysis. KDD (2022)
Catherine Ordun, Edward Raff, Sanjay Purushotham
Generating Thermal Human Faces for Physiological Assessment Using Thermal Sensor Auxiliary Labels. CoRR (2021)
Sanjay Purushotham, Yaguang Li, Zhengping Che
MiLeTS'21: 7th KDD Workshop on Mining and Learning from Time Series. KDD (2021)
Catherine Ordun, Edward Raff, Sanjay Purushotham
Generating Thermal Human Faces for Physiological Assessment using Thermal Sensor Auxiliary Labels. ICIP (2021)
Md. Mahmudur Rahman, Sanjay Purushotham
PseudoNAM: A Pseudo Value Based Interpretable Neural Additive Model for Survival Analysis. HUMAN@AAAI Fall Symposium (2021)
Md. Mahmudur Rahman, Koji Matsuo, Shinya Matsuzaki, Sanjay Purushotham
DeepPseudo: Pseudo Value Based Deep Learning Models for Competing Risk Analysis. AAAI (2021)
Catherine Ordun, Alexandra N. Cha, Edward Raff, Byron Gaskin, Alex Hanson, Mason Rule, Sanjay Purushotham, James L. Gulley
Intelligent Sight and Sound: A Chronic Cancer Facial Pain Dataset. NeurIPS Datasets and Benchmarks (2021)
Xin Huang, Sahara Ali, Chenxi Wang, Zeyu Ning, Sanjay Purushotham, Jianwu Wang, Zhibo Zhang
Deep Domain Adaptation based Cloud Type Detection using Active and Passive Satellite Data. IEEE BigData (2020)
Catherine Ordun, Sanjay Purushotham, Edward Raff
Exploratory Analysis of Covid-19 Tweets using Topic Modeling, UMAP, and DiGraphs. CoRR (2020)
Catherine Ordun, Edward Raff, Sanjay Purushotham
The Use of AI for Thermal Emotion Recognition: A Review of Problems and Limitations in Standard Design and Data. CoRR (2020)
Michael Tsang, Hanpeng Liu, Sanjay Purushotham, Pavankumar Murali, Yan Liu
Neural Interaction Transparency (NIT): Disentangling Learned Interactions for Improved Interpretability. NeurIPS (2018)
Zhengping Che, Sanjay Purushotham, Max Guangyu Li, Bo Jiang, Yan Liu
Hierarchical Deep Generative Models for Multi-Rate Multivariate Time Series. ICML (2018)
Sanjay Purushotham, Chuizheng Meng, Zhengping Che, Yan Liu
Benchmarking deep learning models on large healthcare datasets. J. Biomed. Informatics 83 (2018)
Shangwen Li, Sanjay Purushotham, Chen Chen, Yuzhuo Ren, C.-C. Jay Kuo
Measuring and Predicting Tag Importance for Image Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 39 (12) (2017)
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
Mining Human Mobility to Quantify Performance Status. ICDM Workshops (2017)
Sanjay Purushotham, Wilka Carvalho, Tanachat Nilanon, Yan Liu
Variational Recurrent Adversarial Deep Domain Adaptation. ICLR (Poster) (2017)
Minh Nguyen, Sanjay Purushotham, Hien To, Cyrus Shahabi
m-TSNE: A Framework for Visualizing High-Dimensional Multivariate Time Series. CoRR (2017)
Sanjay Purushotham, Chuizheng Meng, Zhengping Che, Yan Liu
Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets. CoRR (2017)
Shangwen Li, Sanjay Purushotham, Chen Chen, Yuzhuo Ren, C.-C. Jay Kuo
Measuring and Predicting Tag Importance for Image Retrieval. CoRR (2016)
Zhengping Che, Sanjay Purushotham, Robinder G. Khemani, Yan Liu
Interpretable Deep Models for ICU Outcome Prediction. AMIA (2016)
Zhengping Che, Sanjay Purushotham, Kyunghyun Cho, David A. Sontag, Yan Liu
Recurrent Neural Networks for Multivariate Time Series with Missing Values. CoRR (2016)
Sanjay Purushotham, C.-C. Jay Kuo
Personalized Group Recommender Systems for Location- and Event-Based Social Networks. ACM Trans. Spatial Algorithms Syst. 2 (4) (2016)
Tanachat Nilanon, Sanjay Purushotham, Yan Liu
Normal / Abnormal Heart Sound Recordings Classification Using Convolutional Neural Network. CinC (2016)
Zhengping Che, Sanjay Purushotham, Robinder G. Khemani, Yan Liu
Distilling Knowledge from Deep Networks with Applications to Healthcare Domain. CoRR (2015)
Sanjay Purushotham, C.-C. Jay Kuo
Modeling Group Dynamics for Personalized Group-Event Recommendation. SBP (2015)
Sanjay Purushotham, Martin Renqiang Min, C.-C. Jay Kuo, Rachel Ostroff
Factorized sparse learning models with interpretable high order feature interactions. KDD (2014)
Sanjay Purushotham, C.-C. Jay Kuo, Junaith Shahabdeen, Lama Nachman
Collaborative group-activity recommendation in location-based social networks. GEOGROWD (2014)
Sanjay Purushotham, Yan Liu, C.-C. Jay Kuo
Collaborative Topic Regression with Social Matrix Factorization for Recommendation Systems CoRR (2012)
Sanjay Purushotham, Yan Liu
Collaborative Topic Regression with Social Matrix Factorization for Recommendation Systems. ICML (2012)
Xiang Fu, Sanjay Purushotham, Daru Xu, Jian Li, C.-C. Jay Kuo
Hierarchical bag-of-words model for joint multi-view object representation and classification. APSIPA (2012)
Sanjay Purushotham, Qi Tian, C.-C. Jay Kuo
Picture-in-picture copy detection using spatial coding techniques. AIEMPro @ ACM Multimedia (2011)
Ping-Hao Wu, Tanaphol Thaipanich, Sanjay Purushotham, C.-C. Jay Kuo
Separation of Professional and Amateur Video in Large Video Collections. PCM (2009)