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Sanjay Purushotham
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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
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
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
FedPseudo: Privacy-Preserving Pseudo Value-Based Deep Learning Models for Federated Survival Analysis. KDD 2023: 1999-2009 - [c29]Sanjay Purushotham
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
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
International Workshop on Digital Twins for Smart Health. WWW (Companion Volume) 2023: 988 - [e1]Jonghye Woo, Alessa Hering, Wilson Silva
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
A review of Earth Artificial Intelligence. Comput. Geosci. 159: 105034 (2022) - [c24]Jorge López González, Theodore Chapman, Kathryn Chen, Hannah Nguyen
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
VDAM: VAE based domain adaptation for cloud property retrieval from multi-satellite data. SIGSPATIAL/GIS 2022: 107:1-107:10 - [c21]Md. Mahmudur Rahman
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
FedPseudo: Pseudo value-based Deep Learning Models for Federated Survival Analysis. CoRR abs/2207.05247 (2022) - [i10]Md. Mahmudur Rahman
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
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
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
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
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
Collaborative group-activity recommendation in location-based social networks. GEOGROWD 2014: 8-15 - [c5]Sanjay Purushotham, Martin Renqiang Min
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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