Видео 18
Просмотров 76 922

The Unreasonable Ineptitude of Deep Image Classification Algorithms

12:20

Examining Methods for Combining Speed and Accuracy in a Go/No-Go Vigilance Task (HFES 2020).

4:35

Agent-based modeling of COVID-19 epidemic: Introduction to basic model

17:44

Agent-based modeling of COVID-19 epidemic: Demographic networks

7:02

Agent-based modeling of COVID-19 epidemic: Geographical networks in Michigan

8:18

Agent-based modeling of COVID-19 epidemic: Role of travelers in disease spread

4:18

Audacity TranscriptionToolbar history

This is a brief demo of an experimental feature that is in the codebase of Audacity for around 20 years, but not compiled into any released versions. This shows the full capabilities of the 'transcription toolbar', which nowadays has only has the play-at-speed button (something that has been maintained and improved over time

Видео

The Unreasonable Ineptitude of Deep Image Classification Algorithms

12:20

The Unreasonable Ineptitude of Deep Image Classification Algorithms

Просмотров 163 года назад

Video Presentation on Mueller, Agarwal, Linja, Dave, & Alam (2020). The Unreasonable Ineptitude of Deep Image Classification Algorithms. Proceedings of the 64th international meeting of the Human Factors and Ergonomics Society, October 5-9, 2020. Complete paper is available at: www.researchgate.net/publication/344390080_The_Unreasonable_Ineptitude_of_Deep_Image_Classification_Networks

Examining Methods for Combining Speed and Accuracy in a Go/No-Go Vigilance Task (HFES 2020).

4:35

Examining Methods for Combining Speed and Accuracy in a Go/No-Go Vigilance Task (HFES 2020).

Просмотров 633 года назад

Narration of poster presented at HFES 2020. Examining Methods for Combining Speed and Accuracy in a Go/No-Go Vigilance Task (HFES 2020). Shane T. Mueller, Lamia Alam, Gregory J. Funke, Anne Linja, Tauseef Ibne Mamun, Samantha L. Smith In many human performance tasks, researchers assess performance by measuring both accuracy and response time. A number of theoretical and practical approaches hav...

Agent-based modeling of COVID-19 epidemic: Introduction to basic model

17:44

Agent-based modeling of COVID-19 epidemic: Introduction to basic model

Просмотров 1,7 тыс.4 года назад

Learn more at stmueller.github.io/epidemic-agents/ This video describes a basic agent-based model that allows simulation to understand how social and psychological factors can influence epidemic spread. Videos of three student projects are available that show how this model has been applied to several novel situations.

Agent-based modeling of COVID-19 epidemic: Demographic networks

7:02

Agent-based modeling of COVID-19 epidemic: Demographic networks

Просмотров 4594 года назад

Learn more at stmueller.github.io/epidemic-agents/ This video is by Lamia Alam, a graduate student at Michigan Technological University. This video describes a basic agent-based model that allows simulation to understand how social and psychological factors can influence epidemic spread. With a focus on using different demographically-inspired networks for disease communication (workplace, scho...

Agent-based modeling of COVID-19 epidemic: Geographical networks in Michigan

8:18

Agent-based modeling of COVID-19 epidemic: Geographical networks in Michigan

Просмотров 2354 года назад

Learn more at stmueller.github.io/epidemic-agents/ This video is by Anne Linja, a graduate student at Michigan Technological University. This video describes a basic agent-based model that allows simulation to understand how social and psychological factors can influence epidemic spread. This model focuses on implementing geography-based networks for disease communication. This is part of a cou...

Agent-based modeling of COVID-19 epidemic: Role of travelers in disease spread

4:18

Agent-based modeling of COVID-19 epidemic: Role of travelers in disease spread

Просмотров 1934 года назад

Learn more at stmueller.github.io/epidemic-agents/ This video is by Tauseef Ibne Mamun, a graduate student at Michigan Technological University. This video describes a basic agent-based model that allows simulation to understand how social and psychological factors can influence epidemic spread, with a focus on understanding how travelers from outside the network might impact disease spread. Th...

2:47

crossword4xNovice

Просмотров 17510 лет назад

Comparison of expert and novice solving the same crossword puzzle. In this animation, the expert is in realtime, but the novice is sped up by a factor of 4. In the end, the novice completed about half the puzzle in 25 minutes, the expert completed the entire puzzle in about 3 minutes. For more detail, see wordscience.blogspot.com