Andee Kaplan

Assistant Professor

Colorado State University

United States

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About

Andee Kaplan is an Assistant Professor at Colorado State University, USA. His research areas include Bayesian inference, data tracking methodologies, and entity resolution in both ecological and epidemiological contexts. Recent articles authored by Dr. Kaplan focus on topics such as streaming data analysis, wildlife population inference using aerial imagery, and advancements in deep learning models.

Articles (10)

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2025

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2025

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2024

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2023

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2022

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2022

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2022

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2021

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2020

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2020

Collaborators (1)

Benjamin Rubinstein

Professor

The University of Tennessee System

AUSTRALIA

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Andee Kaplan

Research Interests

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Articles (10)

Generative Filtering for Recursive Bayesian Inference with Streaming Data

The Fast and the Furious: Tracking the Effect of the Tomoa Skip on Speed Climbing

Fast Bayesian Record Linkage for Streaming Data Contexts

Interactive Exploration of Large Dendrograms with Prototypes

A Practical Approach to Proper Inference with Linked Data

Tracking the transmission dynamics of COVID‐19 with a time‐varying coefficient state‐space model

Improving Wildlife Population Inference Using Aerial Imagery and Entity Resolution

d-blink: Distributed End-to-End Bayesian Entity Resolution

Simulating Markov Random Fields With a Conclique-Based Gibbs Sampler

On the S-instability and degeneracy of discrete deep learning models

Collaborators (1)

Benjamin Rubinstein

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