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Dr. Prateek Tandon

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Recent Publications Feed


Predictive Video Generation for Flow Cell Dynamics using Deep Learning Diffusion Models. Roche Patent Application 2024.

Modeling Regional Rates of Structural Mutation and Selection in the Genome. American Society for Human Genetics, October 2018.

Improving Pathogenicity Prediction of Structural Variation in Neurodevelopmental Disorders using Machine Learning. Society for Neuroscience, November 2018.

Quantum Robotics: A Primer on Current Science and Future Perspectives. Synthesis Lectures on Quantum Computing. Morgan & Claypool Publishers. January 2017.

Scoring pathogenicity of De Novo Structural Variation in Neurodevelopmental Disorders using Machine Learning Fusion of Multiple Annotations. geXc Scripps 2016.

Bayesian aggregation of evidence for detection and characterization of patterns in multiple noisy observations. AI Matters Magazine. Volume 2 Issue 3, Spring 2016.

Poisson and Bayesian Estimation of Low Signal Source and Noise Components. NIPS Big Neuro Data Workshop 2015.

Building a Robust Detector Algorithm: Application of Bayesian, Nonparametric, and Poisson Methods to Improve Photon Denoising. NIPS Aleph Workshop 2015.

Fault-Tolerant Radiation Threat Detection using Bayesian Reliability Models. IEEE Nuclear Sciences Symposium 2015.

Anomaly-Match Bayesian Aggregation (AM-BA) for Efficient Radiation Source Search. IEEE Nuclear Sciences Symposium 2015.

Multi-Modal Principal Component Analysis For Robust Threat Detection. ARI Annual Review 2015.

Detection of Radioactive Sources using Bayesian Aggregation of Data from Mobile Spectrometers. Elsevier Special Issue on Mining Urban Data. Information Systems 2015.

Personalized Difficulty Level Classification and Feature Analysis for Guitar Tablature. Project Poster at AAAI 2015.

Lunar Tabs: An Intelligent Screen Reader Friendly Guitar Tab Reader. Journal on Technology & Persons with Disabilities 2014.

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