Výsledky vyhledávání - "Handler, Shawn"

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Comparing Explanation Methods for Traditional Machine Learning Models Part 2: Quantifying Model Explainability Faithfulness and Improvements with Dimensionality Reduction

Autor: Flora, Montgomery, Potvin, Corey, McGovern, Amy, Handler, Shawn

Machine learning (ML) models are becoming increasingly common in the atmospheric science community with a wide range of applications. To enable users to understand what an ML model has learned, ML explainability has become a field of active research.

Externí odkaz: http://arxiv.org/abs/2211.10378

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Comparing Explanation Methods for Traditional Machine Learning Models Part 1: An Overview of Current Methods and Quantifying Their Disagreement

Autor: Flora, Montgomery, Potvin, Corey, McGovern, Amy, Handler, Shawn

With increasing interest in explaining machine learning (ML) models, the first part of this two-part study synthesizes recent research on methods for explaining global and local aspects of ML models. This study distinguishes explainability from inter

Externí odkaz: http://arxiv.org/abs/2211.08943

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Using Machine Learning to Calibrate Storm-Scale Probabilistic Guidance of Severe Weather Hazards in the Warn-on-Forecast System

Autor: Flora, Montgomery, Potvin, Corey K., Skinner, Patrick S., Handler, Shawn, McGovern, Amy

A primary goal of the National Oceanic and Atmospheric Administration (NOAA) Warn-on-Forecast (WoF) project is to provide rapidly updating probabilistic guidance to human forecasters for short-term (e.g., 0-3 h) severe weather forecasts. Maximizing t

Externí odkaz: http://arxiv.org/abs/2012.00679

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Akademický článek

Radar-Observed Bulk Microphysics of Midlatitude Leading-Line Trailing-Stratiform Mesoscale Convective Systems

Autor: Handler, Shawn L., Homeyer, Cameron R.

Publikováno v: Journal of Applied Meteorology and Climatology, 2018 Oct 01. 57(10), 2231-2248.

Externí odkaz: https://www.jstor.org/stable/26677267

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Development of a Probabilistic Subfreezing Road Temperature Nowcast and Forecast Using Machine Learning.

Autor: HANDLER, SHAWN L.^1,2 shawn.handler@noaa.gov, REEVES, HEATHER D.^1,2, MCGOVERN, AMY³

Publikováno v: Weather & Forecasting. Oct2020, Vol. 35 Issue 5, p1845-1863. 19p.

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