Search Results for author: Ian McCulloh

Found 4 papers, 0 papers with code

Recommending Training Set Sizes for Classification

no code implementations16 Feb 2021 Phillip Koshute, Jared Zook, Ian McCulloh

Based on a comprehensive study of 20 established data sets, we recommend training set sizes for any classification data set.

Classification General Classification

Improving Community Resiliency and Emergency Response With Artificial Intelligence

no code implementations28 May 2020 Ben Ortiz, Laura Kahn, Marc Bosch, Philip Bogden, Viveca Pavon-Harr, Onur Savas, Ian McCulloh

New crisis response and management approaches that incorporate the latest information technologies are essential in all phases of emergency preparedness and response, including the planning, response, recovery, and assessment phases.

Management Semantic Segmentation

AAAI FSS-19: Human-Centered AI: Trustworthiness of AI Models and Data Proceedings

no code implementations15 Jan 2020 Florian Buettner, John Piorkowski, Ian McCulloh, Ulli Waltinger

To facilitate the widespread acceptance of AI systems guiding decision-making in real-world applications, it is key that solutions comprise trustworthy, integrated human-AI systems.

Autonomous Driving Decision Making +1

Assessing Data Quality of Annotations with Krippendorff Alpha For Applications in Computer Vision

no code implementations20 Dec 2019 Joseph Nassar, Viveca Pavon-Harr, Marc Bosch, Ian McCulloh

In this paper we studied this problem for object detection and recognition. We conducted several data annotation experiments to measure inter annotator agreement and consistency, as well as how the selection of ground truth impacts the perceived algorithm performance. We propose a methodology to monitor the quality of annotations during the labeling of images and how it can be used to measure performance.

object-detection Object Detection

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