Sanjay Purushotham

81 papers A* 12A 3B 7C 5Misc 2Journal 29Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Multi-Speaker Conversational Audio Deepfake: Taxonomy, Dataset and Pilot Study. CoRR Alabi Ahmed, Vandana P. Janeja, Sanjay Purushotham
2026	J	`jnl`	SubstratumGraphEnv: Reinforcement Learning Environment (RLE) for Modeling System Attack Paths. CoRR Bahirah Adewunmi, Edward Raff, Sanjay Purushotham
2025	A	`conf`	Blue Sky: Expert-in-the-Loop Representation Learning Framework for Audio Anti-Spoofing: Multimodal, Multilingual, Multi-speaker, Multi-attack (4M) Scenarios. SDM Zahra Khanjani, Vandana P. Janeja, Christine Mallinson, Sanjay Purushotham
2025	—	`conf`	CAM-Seg: A Continuous-valued Embedding Approach for Semantic Image Generation. ICCVW Masud Ahmed, Zahid Hasan, Syed Arefinul Haque, Abu Zaher Md Faridee, Sanjay Purushotham, Suya You, Nirmalya Roy
2025	J	`jnl`	CAM-Seg: A Continuous-valued Embedding Approach for Semantic Image Generation. CoRR Masud Ahmed, Zahid Hasan, Syed Arefinul Haque, Abu Zaher Md Faridee, Sanjay Purushotham, Suya You, Nirmalya Roy
2025	J	`jnl`	Cloud Optical Thickness Retrievals Using Angle Invariant Attention Based Deep Learning Models. CoRR Zahid Hassan Tushar, Adeleke Ademakinwa, Jianwu Wang, Zhibo Zhang, Sanjay Purushotham
2025	A*	`conf`	Fair Federated Survival Analysis. AAAI Md Mahmudur Rahman, Sanjay Purushotham
2025	J	`jnl`	IDRIFTNET: Physics-Driven Spatiotemporal Deep Learning for Iceberg Drift Forecasting. CoRR Rohan Putatunda, Sanjay Purushotham, Ratnaksha Lele, Vandana P. Janeja
2025	J	`jnl`	Joint Retrieval of Cloud properties using Attention-based Deep Learning Models. CoRR Zahid Hassan Tushar, Adeleke Ademakinwa, Jianwu Wang, Zhibo Zhang, Sanjay Purushotham
2025	Misc	`conf`	MorphoLayerTrace (MLT): A Modified Automated Radio-Echo Sounding Englacial Layer-tracing Algorithm for Englacial Layer Annotation in Ice Penetrating Radar Data. SAC Bayu Adhi Tama, Sanjay Purushotham, Vandana P. Janeja
2025	—	`conf`	Multi-Speaker Conversational Audio Deepfake: Taxonomy, Dataset and Pilot Study. ICDM (Workshops) Alabi Ahmed, Vandana Pursnani Janeja, Sanjay Purushotham
2025	—	`conf`	The 11th Mining and Learning from Time Series (MILETS): From Classical Methods to LLMs. KDD (2) Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Yuxuan Liang, Cong Shen, Stefan Zohren, Yuriy Nevmyvaka
2025	—	`conf`	XCheck: A Consistency-Based Validation Framework for Englacial Layers Annotations. ICDM (Workshops) Muhammad Behroze Hassan, Bayu Adhi Tama, Sanjay Purushotham, Vandana P. Janeja
2024	—	`conf`	ARSFineTune: On-the-Fly Tuning of Vision Models for Unmanned Ground Vehicles. DCOSS-IoT Masud Ahmed, Zahid Hasan, Abu Zaher Md Faridee, Mohammad Saeid Anwar, Kasthuri Jayarajah, Sanjay Purushotham, Suya You, Nirmalya Roy
2024	C	`conf`	Assessing Annotation Accuracy in Ice Sheets Using Quantitative Metrics. IGARSS Bayu Adhi Tama, Vandana P. Janeja, Sanjay Purushotham
2024	J	`jnl`	Assessing Annotation Accuracy in Ice Sheets Using Quantitative Metrics. CoRR Bayu Adhi Tama, Vandana Pursnani Janeja, Sanjay Purushotham
2024	C	`conf`	CloudUNet: Adapting UNet for Retrieving Cloud Properties. IGARSS Zahid Hassan Tushar, Adeleke Ademakinwa, Jianwu Wang, Zhibo Zhang, Sanjay Purushotham
2024	C	`conf`	SEATTNET: UNET Enhanced with Squeeze-Excited Attention Gates for Ice-Calving Front Segmentation. ICMLA Rohan Putatunda, Sanjay Purushotham, Vandana P. Janeja
2024	A*	`conf`	The 10th Mining and Learning from Time Series Workshop: From Classical Methods to LLMs. KDD Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Cong Shen, Stefan Zohren, Yuriy Nevmyvaka
2024	—	`conf`	gWaveNet: Classification of Gravity Waves from Noisy Satellite Data Using Custom Kernel Integrated Deep Learning Method. ICPR (3) Seraj Al Mahmud Mostafa, Omar Faruque, Chenxi Wang, Jia Yue, Sanjay Purushotham, Jianwu Wang
2024	J	`jnl`	gWaveNet: Classification of Gravity Waves from Noisy Satellite Data using Custom Kernel Integrated Deep Learning Method. CoRR Seraj Al Mahmud Mostafa, Omar Faruque, Chenxi Wang, Jia Yue, Sanjay Purushotham, Jianwu Wang
2023	—	`conf`	A Generative Approach for Image Registration of Visible-Thermal (VT) Cancer Faces. AIIIMA@MICCAI Catherine Ordun, Alexandra N. Cha, Edward Raff, Sanjay Purushotham, Karen Kwok, Mason Rule, James L. Gulley
2023	J	`jnl`	A Generative Approach for Image Registration of Visible-Thermal (VT) Cancer Faces. CoRR Catherine Ordun, Alexandra N. Cha, Edward Raff, Sanjay Purushotham, Karen Kwok, Mason Rule, James L. Gulley
2023	B	`conf`	An Online Continuous Semantic Segmentation Framework With Minimal Labeling Efforts. SMARTCOMP Masud Ahmed, Zahid Hasan, Tim Yingling, Eric O'Leary, Sanjay Purushotham, Suya You, Nirmalya Roy
2023	C	`conf`	CNN based Ocean Eddy Detection Using Cloud Services. IGARSS Seraj Al Mahmud Mostafa, Jinbo Wang, Benjamin Holt, Sanjay Purushotham, Jianwu Wang
2023	B	`conf`	DRLO: Deep Representation Learning for Large Scale Off-track Satellite Remote Sensing Data. IEEE Big Data Xin Huang, Chenxi Wang, Wenbin Zhang, Sanjay Purushotham, Jianwu Wang
2023	A*	`conf`	FedPseudo: Privacy-Preserving Pseudo Value-Based Deep Learning Models for Federated Survival Analysis. KDD Md. Mahmudur Rahman, Sanjay Purushotham
2023	A	`conf`	Federated Competing Risk Analysis. CIKM Md Mahmudur Rahman, Sanjay Purushotham
2023	—	`conf`	International Workshop on Digital Twins for Smart Health. WWW (Companion Volume) Jun Deng, Ying Ding, Luke Achenie, Jinwei Liu, Shimei Pan, Sanjay Purushotham, Huanmei Wu, Qi Wang
2023	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops - MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, Proceedings MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI Jonghye Woo, Alessa Hering, Wilson Silva, Xiang Li, Huazhu Fu, Xiaofeng Liu, Fangxu Xing, Sanjay Purushotham, Tejas Sudharshan Mathai, Pritam Mukherjee, Max De Grauw, Regina Beets-Tan, Valentina Corbetta, Elmar Kotter, Mauricio Reyes, Christian F. Baumgartner, Quanzheng Li, Richard M. Leahy, Bin Dong, Hao Chen, Yuankai Huo, Jinglei Lv, Xinxing Xu, Xiaomeng Li, Dwarikanath Mahapatra, Li Cheng, Caroline Petitjean, Benoît Presles
2023	A	`conf`	Multi-state Survival Analysis using Pseudo value-based Deep Neural Networks. SDM Md Mahmudur Rahman, Sanjay Purushotham
2023	B	`conf`	NEV-NCD: Negative Learning, Entropy, and Variance Regularization Based Novel Action Categories Discovery. ICIP Zahid Hasan, Masud Ahmed, Abu Zaher Md Faridee, Sanjay Purushotham, Heesung Kwon, Hyungtae Lee, Nirmalya Roy
2023	J	`jnl`	NEV-NCD: Negative Learning, Entropy, and Variance regularization based novel action categories discovery. CoRR Zahid Hasan, Masud Ahmed, Abu Zaher Md Faridee, Sanjay Purushotham, Heesung Kwon, Hyungtae Lee, Nirmalya Roy
2023	J	`jnl`	Novel Categories Discovery from probability matrix perspective. CoRR Zahid Hasan, Abu Zaher Md Faridee, Masud Ahmed, Sanjay Purushotham, Heesung Kwon, Hyungtae Lee, Nirmalya Roy
2023	A*	`conf`	The 9th SIGKDD International Workshop on Mining and Learning from Time Series. KDD Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Cong Shen, Yuriy Nevmyvaka
2023	B	`conf`	Vista Morph - Unsupervised Image Registration of Visible-Thermal Facial Pairs. IJCB Catherine Ordun, Edward Raff, Sanjay Purushotham
2023	J	`jnl`	Vista-Morph: Unsupervised Image Registration of Visible-Thermal Facial Pairs. CoRR Catherine Ordun, Edward Raff, Sanjay Purushotham
2023	B	`conf`	When Visible-to-Thermal Facial GAN Beats Conditional Diffusion. ICIP Catherine Ordun, Edward Raff, Sanjay Purushotham
2023	J	`jnl`	When Visible-to-Thermal Facial GAN Beats Conditional Diffusion. CoRR Catherine Ordun, Edward Raff, Sanjay Purushotham
2022	A*	`conf`	8th SIGKDD International Workshop on Mining and Learning from Time Series - Deep Forecasting: Models, Interpretability, and Applications. KDD Sanjay Purushotham, Jun Huan, Cong Shen, Dongjin Song, Yuyang Wang, Jan Gasthaus, Hilaf Hasson, Youngsuk Park, Sungyong Seo, Yuriy Nevmyvaka
2022	J	`jnl`	A review of Earth Artificial Intelligence. Comput. Geosci. 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
2022	C	`conf`	Atmospheric Gravity Wave Detection Using Transfer Learning Techniques. BDCAT Jorge López González, Theodore Chapman, Kathryn Chen, Hannah Nguyen, Logan Chambers, Seraj Al Mahmud Mostafa, Jianwu Wang, Sanjay Purushotham, Chenxi Wang, Jia Yue
2022	A*	`conf`	Fair and Interpretable Models for Survival Analysis. KDD Md. Mahmudur Rahman, Sanjay Purushotham
2022	J	`jnl`	FedPseudo: Pseudo value-based Deep Learning Models for Federated Survival Analysis. CoRR Md. Mahmudur Rahman, Sanjay Purushotham
2022	B	`conf`	GADAN: Generative Adversarial Domain Adaptation Network For Debris Detection Using Drone. DCOSS Masud Ahmed, Naima Khan, Pretom Roy Ovi, Nirmalya Roy, Sanjay Purushotham, Aryya Gangopadhyay, Suya You
2022	J	`jnl`	Intelligent Sight and Sound: A Chronic Cancer Pain Dataset. CoRR Catherine Ordun, Alexandra N. Cha, Edward Raff, Byron Gaskin, Alex Hanson, Mason Rule, Sanjay Purushotham, James L. Gulley
2022	J	`jnl`	Pseudo value-based Deep Neural Networks for Multi-state Survival Analysis. CoRR Md. Mahmudur Rahman, Sanjay Purushotham
2022	—	`conf`	VDAM: VAE based domain adaptation for cloud property retrieval from multi-satellite data. SIGSPATIAL/GIS Xin Huang, Chenxi Wang, Sanjay Purushotham, Jianwu Wang
2021	A*	`conf`	DeepPseudo: Pseudo Value Based Deep Learning Models for Competing Risk Analysis. AAAI Md. Mahmudur Rahman, Koji Matsuo, Shinya Matsuzaki, Sanjay Purushotham
2021	J	`jnl`	Generating Thermal Human Faces for Physiological Assessment Using Thermal Sensor Auxiliary Labels. CoRR Catherine Ordun, Edward Raff, Sanjay Purushotham
2021	B	`conf`	Generating Thermal Human Faces for Physiological Assessment using Thermal Sensor Auxiliary Labels. ICIP Catherine Ordun, Edward Raff, Sanjay Purushotham
2021	—	`conf`	Intelligent Sight and Sound: A Chronic Cancer Facial Pain Dataset. NeurIPS Datasets and Benchmarks Catherine Ordun, Alexandra N. Cha, Edward Raff, Byron Gaskin, Alex Hanson, Mason Rule, Sanjay Purushotham, James L. Gulley
2021	A*	`conf`	MiLeTS'21: 7th KDD Workshop on Mining and Learning from Time Series. KDD Sanjay Purushotham, Yaguang Li, Zhengping Che
2021	—	`conf`	PseudoNAM: A Pseudo Value Based Interpretable Neural Additive Model for Survival Analysis. HUMAN@AAAI Fall Symposium Md. Mahmudur Rahman, Sanjay Purushotham
2020	—	`conf`	Deep Domain Adaptation based Cloud Type Detection using Active and Passive Satellite Data. IEEE BigData Xin Huang, Sahara Ali, Chenxi Wang, Zeyu Ning, Sanjay Purushotham, Jianwu Wang, Zhibo Zhang
2020	J	`jnl`	Exploratory Analysis of Covid-19 Tweets using Topic Modeling, UMAP, and DiGraphs. CoRR Catherine Ordun, Sanjay Purushotham, Edward Raff
2020	J	`jnl`	The Use of AI for Thermal Emotion Recognition: A Review of Problems and Limitations in Standard Design and Data. CoRR Catherine Ordun, Edward Raff, Sanjay Purushotham
2018	J	`jnl`	Benchmarking deep learning models on large healthcare datasets. J. Biomed. Informatics Sanjay Purushotham, Chuizheng Meng, Zhengping Che, Yan Liu
2018	A*	`conf`	Hierarchical Deep Generative Models for Multi-Rate Multivariate Time Series. ICML Zhengping Che, Sanjay Purushotham, Max Guangyu Li, Bo Jiang, Yan Liu
2018	A*	`conf`	Neural Interaction Transparency (NIT): Disentangling Learned Interactions for Improved Interpretability. NeurIPS Michael Tsang, Hanpeng Liu, Sanjay Purushotham, Pavankumar Murali, Yan Liu
2017	J	`jnl`	Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets. CoRR Sanjay Purushotham, Chuizheng Meng, Zhengping Che, Yan Liu
2017	J	`jnl`	Measuring and Predicting Tag Importance for Image Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. Shangwen Li, Sanjay Purushotham, Chen Chen, Yuzhuo Ren, C.-C. Jay Kuo
2017	—	`conf`	Mining Human Mobility to Quantify Performance Status. ICDM Workshops 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
2017	—	`ch.`	Time Series Feature Learning with Applications to Health Care. Mobile Health - Sensors, Analytic Methods, and Applications Zhengping Che, Sanjay Purushotham, David C. Kale, Wenzhe Li, Mohammad Taha Bahadori, Robinder G. Khemani, Yan Liu
2017	—	`conf`	Variational Recurrent Adversarial Deep Domain Adaptation. ICLR (Poster) Sanjay Purushotham, Wilka Carvalho, Tanachat Nilanon, Yan Liu
2017	J	`jnl`	m-TSNE: A Framework for Visualizing High-Dimensional Multivariate Time Series. CoRR Minh Nguyen, Sanjay Purushotham, Hien To, Cyrus Shahabi
2016	Misc	`conf`	Interpretable Deep Models for ICU Outcome Prediction. AMIA Zhengping Che, Sanjay Purushotham, Robinder G. Khemani, Yan Liu
2016	J	`jnl`	Measuring and Predicting Tag Importance for Image Retrieval. CoRR Shangwen Li, Sanjay Purushotham, Chen Chen, Yuzhuo Ren, C.-C. Jay Kuo
2016	—	`conf`	Normal / Abnormal Heart Sound Recordings Classification Using Convolutional Neural Network. CinC Tanachat Nilanon, Sanjay Purushotham, Yan Liu
2016	J	`jnl`	Personalized Group Recommender Systems for Location- and Event-Based Social Networks. ACM Trans. Spatial Algorithms Syst. Sanjay Purushotham, C.-C. Jay Kuo
2016	J	`jnl`	Recurrent Neural Networks for Multivariate Time Series with Missing Values. CoRR Zhengping Che, Sanjay Purushotham, Kyunghyun Cho, David A. Sontag, Yan Liu
2015	J	`jnl`	Distilling Knowledge from Deep Networks with Applications to Healthcare Domain. CoRR Zhengping Che, Sanjay Purushotham, Robinder G. Khemani, Yan Liu
2015	—	`conf`	Modeling Group Dynamics for Personalized Group-Event Recommendation. SBP Sanjay Purushotham, C.-C. Jay Kuo
2014	—	`conf`	Collaborative group-activity recommendation in location-based social networks. GEOGROWD Sanjay Purushotham, C.-C. Jay Kuo, Junaith Shahabdeen, Lama Nachman
2014	A*	`conf`	Factorized sparse learning models with interpretable high order feature interactions. KDD Sanjay Purushotham, Martin Renqiang Min, C.-C. Jay Kuo, Rachel Ostroff
2012	J	`jnl`	Collaborative Topic Regression with Social Matrix Factorization for Recommendation Systems CoRR Sanjay Purushotham, Yan Liu, C.-C. Jay Kuo
2012	A*	`conf`	Collaborative Topic Regression with Social Matrix Factorization for Recommendation Systems. ICML Sanjay Purushotham, Yan Liu
2012	—	`conf`	Hierarchical bag-of-words model for joint multi-view object representation and classification. APSIPA Xiang Fu, Sanjay Purushotham, Daru Xu, Jian Li, C.-C. Jay Kuo
2011	—	`conf`	Picture-in-picture copy detection using spatial coding techniques. AIEMPro @ ACM Multimedia Sanjay Purushotham, Qi Tian, C.-C. Jay Kuo
2010	—	`ch.`	Video Genre Inference Based on Camera Capturing Models. Video Search and Mining Ping-Hao Wu, Sanjay Purushotham, C.-C. Jay Kuo
2009	—	`conf`	Separation of Professional and Amateur Video in Large Video Collections. PCM Ping-Hao Wu, Tanaphol Thaipanich, Sanjay Purushotham, C.-C. Jay Kuo