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2020 – today
- 2024
[c40]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: 170-178- [c39]Zahid Hassan Tushar, Adeleke Ademakinwa, Jianwu Wang, Zhibo Zhang, Sanjay Purushotham:
CloudUNet: Adapting UNet for Retrieving Cloud Properties. IGARSS 2024: 7163-7167 - [c38]Bayu Adhi Tama, Vandana P. Janeja, Sanjay Purushotham:
Assessing Annotation Accuracy in Ice Sheets Using Quantitative Metrics. IGARSS 2024: 7572-7575 - [c37]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: 6733-6734 - [i19]Bayu Adhi Tama, Vandana Pursnani Janeja, Sanjay Purushotham:
Assessing Annotation Accuracy in Ice Sheets Using Quantitative Metrics. CoRR abs/2407.09535 (2024) - [i18]Seraj Al Mahmud Mostafa, Omar Faruque, Chenxi Wang, Jia Yue, Sanjay Purushotham, Jianwu Wang:
gWaveNet: Classification of Gravity Waves from Noisy Satellite Data using Custom Kernel Integrated Deep Learning Method. CoRR abs/2408.14674 (2024) - 2023
- [c36]Xin Huang, Chenxi Wang, Wenbin Zhang, Sanjay Purushotham, Jianwu Wang:
DRLO: Deep Representation Learning for Large Scale Off-track Satellite Remote Sensing Data. IEEE Big Data 2023: 1410-1418 - [c35]Md Mahmudur Rahman, Sanjay Purushotham:
Federated Competing Risk Analysis. CIKM 2023: 2106-2115 - [c34]Catherine Ordun, Edward Raff, Sanjay Purushotham:
Vista Morph - Unsupervised Image Registration of Visible-Thermal Facial Pairs. IJCB 2023: 1-10 - [c33]Catherine Ordun, Edward Raff, Sanjay Purushotham:
When Visible-to-Thermal Facial GAN Beats Conditional Diffusion. ICIP 2023: 181-185 - [c32]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: 2720-2724 - [c31]Seraj Al Mahmud Mostafa, Jinbo Wang, Benjamin Holt, Sanjay Purushotham, Jianwu Wang:
CNN based Ocean Eddy Detection Using Cloud Services. IGARSS 2023: 4052-4055 - [c30]Md. Mahmudur Rahman, Sanjay Purushotham:
FedPseudo: Privacy-Preserving Pseudo Value-Based Deep Learning Models for Federated Survival Analysis. KDD 2023: 1999-2009 - [c29]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: 5876-5877 - [c28]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: 91-100 - [c27]Md Mahmudur Rahman, Sanjay Purushotham:
Multi-state Survival Analysis using Pseudo value-based Deep Neural Networks. SDM 2023: 757-765 - [c26]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: 116-123 - [c25]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: 988 - [e1]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:
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. Lecture Notes in Computer Science 14394, Springer 2023, ISBN 978-3-031-47424-8 [contents] - [i17]Catherine Ordun, Edward Raff, Sanjay Purushotham:
When Visible-to-Thermal Facial GAN Beats Conditional Diffusion. CoRR abs/2302.09395 (2023) - [i16]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 abs/2304.07354 (2023) - [i15]Catherine Ordun, Edward Raff, Sanjay Purushotham:
Vista-Morph: Unsupervised Image Registration of Visible-Thermal Facial Pairs. CoRR abs/2306.06505 (2023) - [i14]Zahid Hasan, Abu Zaher Md Faridee, Masud Ahmed, Sanjay Purushotham, Heesung Kwon, Hyungtae Lee, Nirmalya Roy:
Novel Categories Discovery from probability matrix perspective. CoRR abs/2307.03856 (2023) - [i13]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 abs/2308.12271 (2023) - 2022
- [j4]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:
A review of Earth Artificial Intelligence. Comput. Geosci. 159: 105034 (2022) - [c24]Jorge López González, Theodore Chapman, Kathryn Chen, Hannah Nguyen, Logan Chambers, Seraj Al Mahmud Mostafa, Jianwu Wang, Sanjay Purushotham, Chenxi Wang, Jia Yue:
Atmospheric Gravity Wave Detection Using Transfer Learning Techniques. BDCAT 2022: 128-137 - [c23]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: 277-282 - [c22]Xin Huang, Chenxi Wang, Sanjay Purushotham, Jianwu Wang:
VDAM: VAE based domain adaptation for cloud property retrieval from multi-satellite data. SIGSPATIAL/GIS 2022: 107:1-107:10 - [c21]Md. Mahmudur Rahman, Sanjay Purushotham:
Fair and Interpretable Models for Survival Analysis. KDD 2022: 1452-1462 - [c20]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: 4896-4897 - [i12]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 abs/2204.04214 (2022) - [i11]Md. Mahmudur Rahman, Sanjay Purushotham:
FedPseudo: Pseudo value-based Deep Learning Models for Federated Survival Analysis. CoRR abs/2207.05247 (2022) - [i10]Md. Mahmudur Rahman, Sanjay Purushotham:
Pseudo value-based Deep Neural Networks for Multi-state Survival Analysis. CoRR abs/2207.05291 (2022) - 2021
- [c19]Md. Mahmudur Rahman, Koji Matsuo, Shinya Matsuzaki, Sanjay Purushotham:
DeepPseudo: Pseudo Value Based Deep Learning Models for Competing Risk Analysis. AAAI 2021: 479-487 - [c18]Md. Mahmudur Rahman, Sanjay Purushotham:
PseudoNAM: A Pseudo Value Based Interpretable Neural Additive Model for Survival Analysis. HUMAN@AAAI Fall Symposium 2021 - [c17]Catherine Ordun, Edward Raff, Sanjay Purushotham:
Generating Thermal Human Faces for Physiological Assessment using Thermal Sensor Auxiliary Labels. ICIP 2021: 1319-1323 - [c16]Sanjay Purushotham, Yaguang Li, Zhengping Che:
MiLeTS'21: 7th KDD Workshop on Mining and Learning from Time Series. KDD 2021: 4151-4152 - [c15]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 - [i9]Catherine Ordun, Edward Raff, Sanjay Purushotham:
Generating Thermal Human Faces for Physiological Assessment Using Thermal Sensor Auxiliary Labels. CoRR abs/2106.08091 (2021) - 2020
- [c14]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: 1330-1337 - [i8]Catherine Ordun, Sanjay Purushotham, Edward Raff:
Exploratory Analysis of Covid-19 Tweets using Topic Modeling, UMAP, and DiGraphs. CoRR abs/2005.03082 (2020) - [i7]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 abs/2009.10589 (2020)
2010 – 2019
- 2018
- [j3]Sanjay Purushotham, Chuizheng Meng, Zhengping Che, Yan Liu:
Benchmarking deep learning models on large healthcare datasets. J. Biomed. Informatics 83: 112-134 (2018) - [c13]Zhengping Che, Sanjay Purushotham, Max Guangyu Li, Bo Jiang, Yan Liu:
Hierarchical Deep Generative Models for Multi-Rate Multivariate Time Series. ICML 2018: 783-792 - [c12]Michael Tsang, Hanpeng Liu, Sanjay Purushotham, Pavankumar Murali, Yan Liu:
Neural Interaction Transparency (NIT): Disentangling Learned Interactions for Improved Interpretability. NeurIPS 2018: 5809-5818 - 2017
- [j2]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): 2423-2436 (2017) - [c11]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: 1172-1177 - [c10]Sanjay Purushotham, Wilka Carvalho, Tanachat Nilanon, Yan Liu:
Variational Recurrent Adversarial Deep Domain Adaptation. ICLR (Poster) 2017 - [p2]Zhengping Che, Sanjay Purushotham, David C. Kale, Wenzhe Li, Mohammad Taha Bahadori, Robinder G. Khemani, Yan Liu:
Time Series Feature Learning with Applications to Health Care. Mobile Health - Sensors, Analytic Methods, and Applications 2017: 389-409 - [i6]Minh Nguyen, Sanjay Purushotham, Hien To, Cyrus Shahabi:
m-TSNE: A Framework for Visualizing High-Dimensional Multivariate Time Series. CoRR abs/1708.07942 (2017) - [i5]Sanjay Purushotham, Chuizheng Meng, Zhengping Che, Yan Liu:
Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets. CoRR abs/1710.08531 (2017) - 2016
- [j1]Sanjay Purushotham, C.-C. Jay Kuo:
Personalized Group Recommender Systems for Location- and Event-Based Social Networks. ACM Trans. Spatial Algorithms Syst. 2(4): 16:1-16:29 (2016) - [c9]Zhengping Che, Sanjay Purushotham, Robinder G. Khemani, Yan Liu:
Interpretable Deep Models for ICU Outcome Prediction. AMIA 2016 - [c8]Tanachat Nilanon, Sanjay Purushotham, Yan Liu:
Normal / Abnormal Heart Sound Recordings Classification Using Convolutional Neural Network. CinC 2016 - [i4]Shangwen Li, Sanjay Purushotham, Chen Chen, Yuzhuo Ren, C.-C. Jay Kuo:
Measuring and Predicting Tag Importance for Image Retrieval. CoRR abs/1602.08680 (2016) - [i3]Zhengping Che, Sanjay Purushotham, Kyunghyun Cho, David A. Sontag, Yan Liu:
Recurrent Neural Networks for Multivariate Time Series with Missing Values. CoRR abs/1606.01865 (2016) - 2015
- [c7]Sanjay Purushotham, C.-C. Jay Kuo:
Modeling Group Dynamics for Personalized Group-Event Recommendation. SBP 2015: 405-411 - [i2]Zhengping Che, Sanjay Purushotham, Robinder G. Khemani, Yan Liu:
Distilling Knowledge from Deep Networks with Applications to Healthcare Domain. CoRR abs/1512.03542 (2015) - 2014
- [c6]Sanjay Purushotham, C.-C. Jay Kuo, Junaith Shahabdeen, Lama Nachman:
Collaborative group-activity recommendation in location-based social networks. GEOGROWD 2014: 8-15 - [c5]Sanjay Purushotham, Martin Renqiang Min, C.-C. Jay Kuo, Rachel Ostroff:
Factorized sparse learning models with interpretable high order feature interactions. KDD 2014: 552-561 - 2012
- [c4]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: 1-6 - [c3]Sanjay Purushotham, Yan Liu:
Collaborative Topic Regression with Social Matrix Factorization for Recommendation Systems. ICML 2012 - [i1]Sanjay Purushotham, Yan Liu, C.-C. Jay Kuo:
Collaborative Topic Regression with Social Matrix Factorization for Recommendation Systems. CoRR abs/1206.4684 (2012) - 2011
- [c2]Sanjay Purushotham, Qi Tian, C.-C. Jay Kuo:
Picture-in-picture copy detection using spatial coding techniques. AIEMPro @ ACM Multimedia 2011: 25-30 - 2010
- [p1]Ping-Hao Wu, Sanjay Purushotham, C.-C. Jay Kuo:
Video Genre Inference Based on Camera Capturing Models. Video Search and Mining 2010: 177-201
2000 – 2009
- 2009
- [c1]Ping-Hao Wu, Tanaphol Thaipanich, Sanjay Purushotham, C.-C. Jay Kuo:
Separation of Professional and Amateur Video in Large Video Collections. PCM 2009: 33-44
Coauthor Index
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last updated on 2024-10-07 22:24 CEST by the dblp team
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