Aman Verma

According to our database, Aman Verma authored at least 24 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning Joint Local-Global Iris Representations via Spatial Calibration for Generalized Presentation Attack Detection.

Gaurav Jaswal, Aman Verma, Sumantra Dutta Roy, Raghavendra Ramachandra

IEEE Trans. Biom. Behav. Identity Sci., April, 2024

Honey Bee Inspired Routing Algorithm for Sparse Unstructured P2P Networks.

Aman Verma, Sanat Thakur, Ankush Kumar, Dharmendra Prasad Mahato

Proceedings of the Advanced Information Networking and Applications, 2024

2023

An Effective Depression Diagnostic System Using Speech Signal Analysis Through Deep Learning Methods.

Aman Verma, Pooja Jain, Tapan Kumar

Int. J. Artif. Intell. Tools, March, 2023

2022

Design, analysis and implementation of efficient deep learning frameworks for brain tumor classification.

Aman Verma, Vibhav Prakash Singh

Multim. Tools Appl., 2022

MixEHR-Guided: A guided multi-modal topic modeling approach for large-scale automatic phenotyping using the electronic health record.

Yuri Ahuja, Yuesong Zou, Aman Verma, David L. Buckeridge, Yue Li

J. Biomed. Informatics, 2022

Modeling electronic health record data using a knowledge-graph-embedded topic model.

Yuesong Zou, Ahmad Pesaranghader, Aman Verma, David L. Buckeridge, Yue Li

CoRR, 2022

HSADML: Hyper-Sphere Angular Deep Metric based Learning for Brain Tumor Classification.

Aman Verma, Vibhav Prakash Singh

CoRR, 2022

Automatic Phenotyping by a Seed-guided Topic Model.

Ziyang Song, Yuanyi Hu, Aman Verma, David L. Buckeridge, Yue Li

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

DFCANet: Dense Feature Calibration-Attention Guided Network for Cross Domain Iris Presentation Attack Detection.

Gaurav Jaswal, Aman Verma, Sumantra Dutta Roy, Raghavendra Ramachandra

CoRR, 2021

Supervised multi-specialist topic model with applications on large-scale electronic health record data.

Ziyang Song, Xavier Sumba Toral, Yixin Xu, Aihua Liu, Liming Guo, Guido Powell, Aman Verma, David L. Buckeridge, Ariane Marelli, Yue Li

Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021

2020

Cloud Platform Optimization for HPC.

Aman Verma

Proceedings of the Supercomputing Frontiers - 6th Asian Conference, 2020

2019

A systematic review of aberration detection algorithms used in public health surveillance.

Mengru Yuan, Nikita Boston-Fisher, Yu Luo, Aman Verma, David L. Buckeridge

J. Biomed. Informatics, 2019

Modeling Chronic Obstructive Pulmonary Disease Progression Using Continuous-Time Hidden Markov Models.

Guido Antonio Powell, Aman Verma, Yu T. Luo, David A. Stephens, David L. Buckeridge

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Development of a Method for Extracting Structured Dose Information from Free-Text Electronic Prescriptions.

Man Qing Liang, Vivek Gidla, Aman Verma, Daniala L. Weir, Robyn Tamblyn, David L. Buckeridge, Aude Motulsky

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

2018

Modeling disease progression in longitudinal EHR data using continuous-time hidden Markov models.

Aman Verma, Guido Powell, Yu Luo, David A. Stephens, David L. Buckeridge

CoRR, 2018

2017

Multidimensional and Longitudinal Indicators in Population Health.

Guido Powell, Yu T. Luo, Aman Verma, David A. Stephens, David L. Buckeridge

Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

An efficient methodology to solve the K-terminal network reliability problem.

Sandeep Singh, Aman Verma, Subhashis Chatterjee, Venkata Ramana

Proceedings of the 2016 3rd International Conference on Recent Advances in Information Technology (RAIT), 2016

2015

Towards probabilistic decision support in public health practice: Predicting recent transmission of tuberculosis from patient attributes.

Hiroshi Mamiya, Kevin Schwartzman, Aman Verma, Christian Jauvin, Marcel Behr, David L. Buckeridge

J. Biomed. Informatics, 2015

A novel method of adverse event detection can accurately identify venous thromboembolisms (VTEs) from narrative electronic health record data.

Christian M. Rochefort, Aman Verma, Tewodros Eguale, Todd C. Lee, David L. Buckeridge

J. Am. Medical Informatics Assoc., 2015

Pharmacy drug dispensing after physician discontinuation (cancel) orders.

Tewodros Eguale, Aman Verma, Enrique Seoane-Vazquez, Rosa Rodriguez-Monguio, David W. Bates, Robyn Tamblyn, Gordon D. Schiff

Proceedings of the AMIA 2015, 2015

2013

Assessing the Predictability of Hospital Readmission Using Machine Learning.

Arian Hosseinzadeh, Masoumeh T. Izadi, Aman Verma, Doina Precup, David L. Buckeridge

Proceedings of the Twenty-Fifth Innovative Applications of Artificial Intelligence Conference, 2013

2011

The re-identification risk of Canadians from longitudinal demographics.

Khaled El Emam, David L. Buckeridge, Robyn Tamblyn, Angelica Neisa, Elizabeth Jonker, Aman Verma

BMC Medical Informatics Decis. Mak., 2011

2009

AI for Global Disease Surveillance.

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

IEEE Intell. Syst., 2009

2007

Ambulatory e-Prescribing: Evaluating a Novel Surveillance Data Source.

David L. Buckeridge, Aman Verma, Robyn Tamblyn

Proceedings of the Intelligence and Security Informatics: Biosurveillance, 2007