Lucas Hayne

According to our database, Lucas Hayne authored at least 6 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Toward Workload-Based Adaptive Automation: The Utility of fNIRS for Measuring Load in Multiple Resources in the Brain.

Leanne M. Hirshfield, Christopher D. Wickens, Emily Doherty, Cara A. Spencer, Tom Williams, Lucas Hayne

Int. J. Hum. Comput. Interact., November, 2024

Does Representation Similarity Capture Function Similarity?

Lucas Hayne, Heejung Jung, R. McKell Carter

Trans. Mach. Learn. Res., 2024

2022

Much Easier Said Than Done: Falsifying the Causal Relevance of Linear Decoding Methods.

Lucas Hayne, Abhijit Suresh, Hunar Jain, Rahul Kumar, R. McKell Carter

CoRR, 2022

An Empirical Deep Dive into Deep Learning's Driving Dynamics.

Charles Edison Tripp, Jordan Perr-Sauer, Lucas Hayne, Monte Lunacek

CoRR, 2022

2021

Using Neural Networks for Two Dimensional Scientific Data Compression.

Lucas Hayne, John P. Clyne, Shaomeng Li

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

A Neurophysiological Sensor Suite for Real-Time Prediction of Pilot Workload in Operational Settings.

Trevor Grant, Kaunil Dhruv, Lucca Eloy, Lucas Hayne, Kevin Durkee, Leanne M. Hirshfield

Proceedings of the HCI International 2020 - Late Breaking Papers: Cognition, Learning and Games, 2020