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Aman Verma
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2020 – today
- 2024
- [j9]Gaurav Jaswal
, Aman Verma, Sumantra Dutta Roy, Raghavendra Ramachandra
Learning Joint Local-Global Iris Representations via Spatial Calibration for Generalized Presentation Attack Detection. IEEE Trans. Biom. Behav. Identity Sci. 6(2): 195-208 (2024) - [c13]Aman Verma, Sanat Thakur, Ankush Kumar, Dharmendra Prasad Mahato:
Honey Bee Inspired Routing Algorithm for Sparse Unstructured P2P Networks. AINA (3) 2024: 175-186 - [c12]Aman Verma, Gaurav Jaswal, Seshan Srirangarajan, Sumantra Dutta Roy:
Quantifying Biometric Characteristics of Hand Gestures Through Feature Space Probing and Identity-Level Cross-Gesture Disentanglement. FG 2024: 1-9 - [c11]K. Sowjanya
SUPI-Rear: Privacy-Preserving Subscription Permanent Identification Strategy in 5G-AKA. SSS 2024: 307-321 - [i6]Rishab Goyal, Venkata Koppula, Mahesh Sreekumar Rajasree, Aman Verma:
Incompressible Functional Encryption. IACR Cryptol. ePrint Arch. 2024: 798 (2024) - 2023
- [j8]Aman Verma, Pooja Jain
An Effective Depression Diagnostic System Using Speech Signal Analysis Through Deep Learning Methods. Int. J. Artif. Intell. Tools 32(2): 2340004:1-2340004:17 (2023) - 2022
- [j7]Yuri Ahuja
MixEHR-Guided: A guided multi-modal topic modeling approach for large-scale automatic phenotyping using the electronic health record. J. Biomed. Informatics 134: 104190 (2022) - [j6]Aman Verma, Vibhav Prakash Singh
Design, analysis and implementation of efficient deep learning frameworks for brain tumor classification. Multim. Tools Appl. 81(26): 37541-37567 (2022) - [c10]Ziyang Song, Yuanyi Hu, Aman Verma, David L. Buckeridge, Yue Li:
Automatic Phenotyping by a Seed-guided Topic Model. KDD 2022: 4713-4723 - [i5]Aman Verma, Vibhav Prakash Singh:
HSADML: Hyper-Sphere Angular Deep Metric based Learning for Brain Tumor Classification. CoRR abs/2201.12269 (2022) - [i4]Yuesong Zou, Ahmad Pesaranghader, Aman Verma, David L. Buckeridge, Yue Li:
Modeling electronic health record data using a knowledge-graph-embedded topic model. CoRR abs/2206.01436 (2022) - 2021
- [c9]Ziyang Song, Xavier Sumba Toral, Yixin Xu, Aihua Liu, Liming Guo, Guido Powell, Aman Verma
Supervised multi-specialist topic model with applications on large-scale electronic health record data. BCB 2021: 6:1-6:26 - [i3]Ziyang Song, Xavier Sumba Toral, Yixin Xu, Aihua Liu, Liming Guo, Guido Powell, Aman Verma, David L. Buckeridge, Ariane Marelli, Yue Li:
Supervised multi-specialist topic model with applications on large-scale electronic health record data. CoRR abs/2105.01238 (2021) - [i2]Gaurav Jaswal, Aman Verma, Sumantra Dutta Roy, Raghavendra Ramachandra:
DFCANet: Dense Feature Calibration-Attention Guided Network for Cross Domain Iris Presentation Attack Detection. CoRR abs/2111.00919 (2021) - 2020
- [c8]Aman Verma:
Cloud Platform Optimization for HPC. SCFA 2020: 55-64
2010 – 2019
- 2019
- [j5]Mengru Yuan, Nikita Boston-Fisher
A systematic review of aberration detection algorithms used in public health surveillance. J. Biomed. Informatics 94 (2019) - [c7]Guido Antonio Powell, Aman Verma, Yu T. Luo
Modeling Chronic Obstructive Pulmonary Disease Progression Using Continuous-Time Hidden Markov Models. MedInfo 2019: 920-924 - [c6]Man Qing Liang
Development of a Method for Extracting Structured Dose Information from Free-Text Electronic Prescriptions. MedInfo 2019: 1568-1569 - 2018
- [i1]Aman Verma, Guido Powell, Yu Luo
Modeling disease progression in longitudinal EHR data using continuous-time hidden Markov models. CoRR abs/1812.00528 (2018) - 2017
- [c5]Guido Powell, Yu T. Luo, Aman Verma, David A. Stephens, David L. Buckeridge:
Multidimensional and Longitudinal Indicators in Population Health. AAAI Workshops 2017 - 2016
- [c4]Sandeep Singh, Aman Verma, Subhashis Chatterjee, Venkata Ramana:
An efficient methodology to solve the K-terminal network reliability problem. RAIT 2016: 25-28 - 2015
- [j4]Christian M. Rochefort, Aman Verma
A novel method of adverse event detection can accurately identify venous thromboembolisms (VTEs) from narrative electronic health record data. J. Am. Medical Informatics Assoc. 22(1): 155-165 (2015) - [j3]Hiroshi Mamiya, Kevin Schwartzman, Aman Verma
Towards probabilistic decision support in public health practice: Predicting recent transmission of tuberculosis from patient attributes. J. Biomed. Informatics 53: 237-242 (2015) - [c3]Tewodros Eguale, Aman Verma, Enrique Seoane-Vazquez, Rosa Rodriguez-Monguio, David W. Bates, Robyn Tamblyn, Gordon D. Schiff:
Pharmacy drug dispensing after physician discontinuation (cancel) orders. AMIA 2015 - 2013
- [c2]Arian Hosseinzadeh, Masoumeh T. Izadi, Aman Verma, Doina Precup, David L. Buckeridge:
Assessing the Predictability of Hospital Readmission Using Machine Learning. IAAI 2013: 1532-1538 - 2011
- [j2]Khaled El Emam, David L. Buckeridge, Robyn Tamblyn, Angelica Neisa
The re-identification risk of Canadians from longitudinal demographics. BMC Medical Informatics Decis. Mak. 11: 46 (2011)
2000 – 2009
- 2009
- [j1]Hsinchun Chen, Daniel Zeng, David L. Buckeridge, Masoumeh T. Izadi, Aman Verma
AI for Global Disease Surveillance. IEEE Intell. Syst. 24(6): 66-82 (2009) - 2007
- [c1]David L. Buckeridge, Aman Verma, Robyn Tamblyn:
Ambulatory e-Prescribing: Evaluating a Novel Surveillance Data Source. BioSurveillance 2007: 190-195
Coauthor Index
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