Separation of Professional and Amateur Video in Large Video Collections. - Ping-Hao Wu; Tanaphol Thaipanich; Sanjay Purushotham; C.-C. Jay Kuo (PCM, 2009)

Video Genre Inference Based on Camera Capturing Models. - Ping-Hao Wu; Sanjay Purushotham; C.-C. Jay Kuo (Video Search and Mining, 2010)

Picture-in-picture copy detection using spatial coding techniques. - Sanjay Purushotham; Qi Tian 001; C.-C. Jay Kuo (AIEMPro @ ACM Multimedia, 2011)

Hierarchical bag-of-words model for joint multi-view object representation and classification. - Xiang Fu 006; Sanjay Purushotham; Daru Xu; Jian Li; C.-C. Jay Kuo (APSIPA, 2012)

Collaborative Topic Regression with Social Matrix Factorization for Recommendation Systems. - Sanjay Purushotham; Yan Liu 002 (ICML, 2012)

Collaborative Topic Regression with Social Matrix Factorization for Recommendation Systems - Sanjay Purushotham; Yan Liu 002; C.-C. Jay Kuo (CoRR, 2012)

Collaborative group-activity recommendation in location-based social networks. - Sanjay Purushotham; C.-C. Jay Kuo; Junaith Shahabdeen; Lama Nachman (GEOGROWD, 2014)

Factorized sparse learning models with interpretable high order feature interactions. - Sanjay Purushotham; Martin Renqiang Min; C.-C. Jay Kuo; Rachel Ostroff (KDD, 2014)

Modeling Group Dynamics for Personalized Group-Event Recommendation. - Sanjay Purushotham; C.-C. Jay Kuo (SBP, 2015)

Distilling Knowledge from Deep Networks with Applications to Healthcare Domain. - Zhengping Che; Sanjay Purushotham; Robinder G. Khemani; Yan Liu 002 (CoRR, 2015)

Interpretable Deep Models for ICU Outcome Prediction. - Zhengping Che; Sanjay Purushotham; Robinder G. Khemani; Yan Liu 002 (AMIA, 2016)

Normal / Abnormal Heart Sound Recordings Classification Using Convolutional Neural Network. - Tanachat Nilanon; Sanjay Purushotham; Yan Liu 002 (CinC, 2016)

Recurrent Neural Networks for Multivariate Time Series with Missing Values. - Zhengping Che; Sanjay Purushotham; Kyunghyun Cho; David A. Sontag; Yan Liu 002 (CoRR, 2016)

Personalized Group Recommender Systems for Location- and Event-Based Social Networks. - Sanjay Purushotham; C.-C. Jay Kuo (ACM Trans. Spatial Algorithms Syst., 2016)

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 002 (Mobile Health - Sensors, Analytic Methods, and Applications, 2017)

Mining Human Mobility to Quantify Performance Status. - Minh N. B. Nguyen; Zaki Hasnain; Ming Li 003; Tanya Dorff; David Quinn; Sanjay Purushotham; Luciano Nocera; Paul K. Newton; Peter Kuhn; Jorge Nieva; Cyrus Shahabi (ICDM Workshops, 2017)

Variational Recurrent Adversarial Deep Domain Adaptation. - Sanjay Purushotham; Wilka Carvalho; Tanachat Nilanon; Yan Liu 002 (ICLR (Poster), 2017)

m-TSNE: A Framework for Visualizing High-Dimensional Multivariate Time Series. - Minh Nguyen; Sanjay Purushotham; Hien To; Cyrus Shahabi (CoRR, 2017)

Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets. - Sanjay Purushotham; Chuizheng Meng; Zhengping Che; Yan Liu 002 (CoRR, 2017)

Measuring and Predicting Tag Importance for Image Retrieval. - Shangwen Li; Sanjay Purushotham; Chen Chen 021; Yuzhuo Ren; C.-C. Jay Kuo (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Hierarchical Deep Generative Models for Multi-Rate Multivariate Time Series. - Zhengping Che; Sanjay Purushotham; Max Guangyu Li; Bo Jiang 001; Yan Liu 002 (ICML, 2018)

Neural Interaction Transparency (NIT): Disentangling Learned Interactions for Improved Interpretability. - Michael Tsang; Hanpeng Liu; Sanjay Purushotham; Pavankumar Murali; Yan Liu 002 (NeurIPS, 2018)

Benchmarking deep learning models on large healthcare datasets. - Sanjay Purushotham; Chuizheng Meng; Zhengping Che; Yan Liu 002 (J. Biomed. Informatics, 2018)

Deep Domain Adaptation based Cloud Type Detection using Active and Passive Satellite Data. - Xin Huang 005; Sahara Ali; Chenxi Wang; Zeyu Ning; Sanjay Purushotham; Jianwu Wang 001; Zhibo Zhang (IEEE BigData, 2020)

Exploratory Analysis of Covid-19 Tweets using Topic Modeling, UMAP, and DiGraphs. - Catherine Ordun; Sanjay Purushotham; Edward Raff (CoRR, 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)

DeepPseudo: Pseudo Value Based Deep Learning Models for Competing Risk Analysis. - Md. Mahmudur Rahman; Koji Matsuo; Shinya Matsuzaki; Sanjay Purushotham (AAAI, 2021)

PseudoNAM: A Pseudo Value Based Interpretable Neural Additive Model for Survival Analysis. - Md. Mahmudur Rahman; Sanjay Purushotham (HUMAN@AAAI Fall Symposium, 2021)

Generating Thermal Human Faces for Physiological Assessment using Thermal Sensor Auxiliary Labels. - Catherine Ordun; Edward Raff; Sanjay Purushotham (ICIP, 2021)

MiLeTS'21: 7th KDD Workshop on Mining and Learning from Time Series. - Sanjay Purushotham; Yaguang Li; Zhengping Che (KDD, 2021)

Intelligent Sight and Sound: A Chronic Cancer Facial Pain Dataset. - Catherine Ordun; Alexandra N. Cha; Edward Raff; Byron Gaskin; Alex Hanson 002; Mason Rule; Sanjay Purushotham; James L. Gulley (NeurIPS Datasets and Benchmarks, 2021)

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 001; Sanjay Purushotham; Chenxi Wang; Jia Yue (BDCAT, 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 (DCOSS, 2022)

VDAM: VAE based domain adaptation for cloud property retrieval from multi-satellite data. - Xin Huang 005; Chenxi Wang; Sanjay Purushotham; Jianwu Wang 001 (SIGSPATIAL/GIS, 2022)

8th SIGKDD International Workshop on Mining and Learning from Time Series - Deep Forecasting: Models, Interpretability, and Applications. - Sanjay Purushotham; Jun Huan; Cong Shen 001; Dongjin Song; Yuyang Wang 001; Jan Gasthaus; Hilaf Hasson; Youngsuk Park; Sungyong Seo; Yuriy Nevmyvaka (KDD, 2022)

Fair and Interpretable Models for Survival Analysis. - Md. Mahmudur Rahman; Sanjay Purushotham (KDD, 2022)

Intelligent Sight and Sound: A Chronic Cancer Pain Dataset. - Catherine Ordun; Alexandra N. Cha; Edward Raff; Byron Gaskin; Alex Hanson 002; Mason Rule; Sanjay Purushotham; James L. Gulley (CoRR, 2022)

FedPseudo: Pseudo value-based Deep Learning Models for Federated Survival Analysis. - Md. Mahmudur Rahman; Sanjay Purushotham (CoRR, 2022)

Pseudo value-based Deep Neural Networks for Multi-state Survival Analysis. - Md. Mahmudur Rahman; Sanjay Purushotham (CoRR, 2022)

A review of Earth Artificial Intelligence. - Ziheng Sun; Laura Sandoval; Robert Crystal-Ornelas; S. Mostafa Mousavi; Jinbo Wang 002; Cindy Lin; Nicoleta Cristea; Daniel Q. Tong; Wendy Hawley Carande; Xiaogang Ma 001; Yuhan Rao; James A. Bednar; et al. (Comput. Geosci., 2022)

DRLO: Deep Representation Learning for Large Scale Off-track Satellite Remote Sensing Data. - Xin Huang 005; Chenxi Wang; Wenbin Zhang 002; Sanjay Purushotham; Jianwu Wang 001 (IEEE Big Data, 2023)

Federated Competing Risk Analysis. - Md Mahmudur Rahman; Sanjay Purushotham (CIKM, 2023)

Vista Morph - Unsupervised Image Registration of Visible-Thermal Facial Pairs. - Catherine Ordun; Edward Raff; Sanjay Purushotham (IJCB, 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 (ICIP, 2023)

When Visible-to-Thermal Facial GAN Beats Conditional Diffusion. - Catherine Ordun; Edward Raff; Sanjay Purushotham (ICIP, 2023)

CNN based Ocean Eddy Detection Using Cloud Services. - Seraj Al Mahmud Mostafa; Jinbo Wang 002; Benjamin Holt; Sanjay Purushotham; Jianwu Wang 001 (IGARSS, 2023)

The 9th SIGKDD International Workshop on Mining and Learning from Time Series. - Sanjay Purushotham; Dongjin Song; Qingsong Wen; Jun Huan; Cong Shen 001; Yuriy Nevmyvaka (KDD, 2023)

FedPseudo: Privacy-Preserving Pseudo Value-Based Deep Learning Models for Federated Survival Analysis. - Md. Mahmudur Rahman; Sanjay Purushotham (KDD, 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 (AIIIMA@MICCAI, 2023)

Multi-state Survival Analysis using Pseudo value-based Deep Neural Networks. - Md Mahmudur Rahman; Sanjay Purushotham (SDM, 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 (SMARTCOMP, 2023)

International Workshop on Digital Twins for Smart Health. - Jun Deng; Ying Ding 001; Luke Achenie; Jinwei Liu; Shimei Pan; Sanjay Purushotham; Huanmei Wu; Qi Wang 021 (WWW (Companion Volume), 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)

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 (DCOSS-IoT, 2024)

SEATTNET: UNET Enhanced with Squeeze-Excited Attention Gates for Ice-Calving Front Segmentation. - Rohan Putatunda; Sanjay Purushotham; Vandana P. Janeja (ICMLA, 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 001 (ICPR (3), 2024)

Assessing Annotation Accuracy in Ice Sheets Using Quantitative Metrics. - Bayu Adhi Tama; Vandana P. Janeja; Sanjay Purushotham (IGARSS, 2024)

CloudUNet: Adapting UNet for Retrieving Cloud Properties. - Zahid Hassan Tushar; Adeleke Ademakinwa; Jianwu Wang 001; Zhibo Zhang; Sanjay Purushotham (IGARSS, 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 001; Stefan Zohren; Yuriy Nevmyvaka (KDD, 2024)

Fair Federated Survival Analysis. - Md Mahmudur Rahman; Sanjay Purushotham (AAAI, 2025)

MorphoLayerTrace (MLT): A Modified Automated Radio-Echo Sounding Englacial Layer-tracing Algorithm for Englacial Layer Annotation in Ice Penetrating Radar Data. - Bayu Adhi Tama; Sanjay Purushotham; Vandana P. Janeja (SAC, 2025)

Blue Sky: Expert-in-the-Loop Representation Learning Framework for Audio Anti-Spoofing: Multimodal, Multilingual, Multi-speaker, Multi-attack (4M) Scenarios. - Zahra Khanjani; Vandana P. Janeja; Christine Mallinson; Sanjay Purushotham (SDM, 2025)

CAM-Seg: A Continuous-valued Embedding Approach for Semantic Image Generation. - Masud Ahmed; Zahid Hasan; Syed Arefinul Haque; Abu Zaher Md Faridee; Sanjay Purushotham; Suya You; Nirmalya Roy (CoRR, 2025)

Joint Retrieval of Cloud properties using Attention-based Deep Learning Models. - Zahid Hassan Tushar; Adeleke Ademakinwa; Jianwu Wang 001; Zhibo Zhang; Sanjay Purushotham (CoRR, 2025)

Cloud Optical Thickness Retrievals Using Angle Invariant Attention Based Deep Learning Models. - Zahid Hassan Tushar; Adeleke Ademakinwa; Jianwu Wang; Zhibo Zhang; Sanjay Purushotham (CoRR, 2025)

IDRIFTNET: Physics-Driven Spatiotemporal Deep Learning for Iceberg Drift Forecasting. - Rohan Putatunda; Sanjay Purushotham; Ratnaksha Lele; Vandana P. Janeja (CoRR, 2025)