Aman Verma

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 20

Top Topics

Attack Detection

Top Venues

J. Biomed. Informatics

Publications

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) (2024)
Rishab Goyal, Venkata Koppula, Mahesh Sreekumar Rajasree, Aman Verma
Incompressible Functional Encryption. IACR Cryptol. ePrint Arch. 2024 (2024)
Aman Verma, Sanat Thakur, Ankush Kumar, Dharmendra Prasad Mahato
Honey Bee Inspired Routing Algorithm for Sparse Unstructured P2P Networks. AINA (3) (2024)
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)
Aman Verma, Pooja Jain, Tapan Kumar
An Effective Depression Diagnostic System Using Speech Signal Analysis Through Deep Learning Methods. Int. J. Artif. Intell. Tools 32 (2) (2023)
Aman Verma, Vibhav Prakash Singh
Design, analysis and implementation of efficient deep learning frameworks for brain tumor classification. Multim. Tools Appl. 81 (26) (2022)
Yuri Ahuja, Yuesong Zou, Aman Verma, David L. Buckeridge, Yue Li
MixEHR-Guided: A guided multi-modal topic modeling approach for large-scale automatic phenotyping using the electronic health record. J. Biomed. Informatics 134 (2022)
Aman Verma, Vibhav Prakash Singh
HSADML: Hyper-Sphere Angular Deep Metric based Learning for Brain Tumor Classification. CoRR (2022)
Yuesong Zou, Ahmad Pesaranghader, Aman Verma, David L. Buckeridge, Yue Li
Modeling electronic health record data using a knowledge-graph-embedded topic model. CoRR (2022)
Ziyang Song, Yuanyi Hu, Aman Verma, David L. Buckeridge, Yue Li
Automatic Phenotyping by a Seed-guided Topic Model. KDD (2022)
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. BCB (2021)
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 (2021)
Gaurav Jaswal, Aman Verma, Sumantra Dutta Roy, Raghavendra Ramachandra
DFCANet: Dense Feature Calibration-Attention Guided Network for Cross Domain Iris Presentation Attack Detection. CoRR (2021)
Aman Verma
Cloud Platform Optimization for HPC. SCFA (2020)
Man Qing Liang, Vivek Gidla, Aman Verma, Daniala L. Weir, Robyn Tamblyn, David L. Buckeridge, Aude Motulsky
Development of a Method for Extracting Structured Dose Information from Free-Text Electronic Prescriptions. MedInfo (2019)
Guido Antonio Powell, Aman Verma, Yu T. Luo, David A. Stephens, David L. Buckeridge
Modeling Chronic Obstructive Pulmonary Disease Progression Using Continuous-Time Hidden Markov Models. MedInfo (2019)
Mengru Yuan, Nikita Boston-Fisher, Yu Luo, Aman Verma, David L. Buckeridge
A systematic review of aberration detection algorithms used in public health surveillance. J. Biomed. Informatics 94 (2019)
Aman Verma, Guido Powell, Yu Luo, David A. Stephens, David L. Buckeridge
Modeling disease progression in longitudinal EHR data using continuous-time hidden Markov models. CoRR (2018)
Guido Powell, Yu T. Luo, Aman Verma, David A. Stephens, David L. Buckeridge
Multidimensional and Longitudinal Indicators in Population Health. AAAI Workshops (2017)
Sandeep Singh, Aman Verma, Subhashis Chatterjee, Venkata Ramana
An efficient methodology to solve the K-terminal network reliability problem. RAIT (2016)
Christian M. Rochefort, Aman Verma, Tewodros Eguale, Todd C. Lee, David L. Buckeridge
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) (2015)
Hiroshi Mamiya, Kevin Schwartzman, Aman Verma, Christian Jauvin, Marcel Behr, David L. Buckeridge
Towards probabilistic decision support in public health practice: Predicting recent transmission of tuberculosis from patient attributes. J. Biomed. Informatics 53 (2015)
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)
Arian Hosseinzadeh, Masoumeh T. Izadi, Aman Verma, Doina Precup, David L. Buckeridge
Assessing the Predictability of Hospital Readmission Using Machine Learning. IAAI (2013)
Khaled El Emam, David L. Buckeridge, Robyn Tamblyn, Angelica Neisa, Elizabeth Jonker, Aman Verma
The re-identification risk of Canadians from longitudinal demographics. BMC Medical Informatics Decis. Mak. 11 (2011)
Hsinchun Chen, Daniel Zeng, David L. Buckeridge, Masoumeh T. Izadi, Aman Verma, Anna Okhmatovskaia, Xiaohua Hu, Xiajiong Shen, Zhidong Cao, Fei-Yue Wang, Xiaolong Zheng, Quanyi Wang
AI for Global Disease Surveillance. IEEE Intell. Syst. 24 (6) (2009)
David L. Buckeridge, Aman Verma, Robyn Tamblyn
Ambulatory e-Prescribing: Evaluating a Novel Surveillance Data Source. BioSurveillance (2007)