| Using neural networks for two dimensional scientific data compression L Hayne, J Clyne, S Li 2021 IEEE International Conference on Big Data (Big Data), 2956-2965, 2021 | 10 | 2021 |
| A neurophysiological sensor suite for real-time prediction of pilot workload in operational settings T Grant, K Dhruv, L Eloy, L Hayne, K Durkee, L Hirshfield HCI International 2020–Late Breaking Papers: Cognition, Learning and Games …, 2020 | 2 | 2020 |
| Toward Workload-Based Adaptive Automation: The Utility of fNIRS for Measuring Load in Multiple Resources in the Brain LM Hirshfield, C Wickens, E Doherty, C Spencer, T Williams, L Hayne International Journal of Human–Computer Interaction, 1-27, 2023 | 1 | 2023 |
| Much easier said than done: Falsifying the causal relevance of linear decoding methods L Hayne, A Suresh, H Jain, R Kumar, RMK Carter arXiv preprint arXiv:2211.04367, 2022 | 1 | 2022 |
| Green AI: Insights Into Deep Learning's Looming Energy Efficiency Crisis C Tripp, E Bensen, L Hayne, J Perr-Sauer, M Lunacek National Renewable Energy Lab.(NREL), Golden, CO (United States), 2022 | 1 | 2022 |
| Grounding High Dimensional Representation Similarity by Comparing Decodability and Network Performance L Hayne, H Jung, A Suresh, RMK Carter | 1 | 2022 |
| An Empirical Deep Dive into Deep Learning's Driving Dynamics CE Tripp, J Perr-Sauer, L Hayne, M Lunacek arXiv preprint arXiv:2207.12547, 2022 | 1 | 2022 |
| Decoding Function From Activity in Neural Systems L Hayne University of Colorado at Boulder, 2023 | | 2023 |
| Friend or foe: classifying collaborative interactions using fNIRS L Hayne, T Grant, L Hirshfield, RMK Carter Frontiers in Neuroergonomics 4, 2023 | | 2023 |
| Much Easier Said Than Done: Falsifying the Causal Relevance of Decoding Methods L Hayne, A Suresh, H Jain, RKM Kumar, RMK Carter I Can't Believe It's Not Better Workshop: Understanding Deep Learning …, 2022 | | 2022 |
| An Empirical Deep Dive into Deep Learning's Driving Dynamics C Edison Tripp, J Perr-Sauer, L Hayne, M Lunacek arXiv e-prints, arXiv: 2207.12547, 2022 | | 2022 |
| BUTTER-Empirical Deep Learning Dataset C Tripp, J Perr-Sauer, L Hayne, M Lunacek DOE Open Energy Data Initiative (OEDI); National Renewable Energy Lab.(NREL …, 2022 | | 2022 |
| JobQueue-PG: A Task Queue for Coordinating Varied Tasks Across Multiple HPC Resources and HPC Jobs C Tripp, J Perr-Sauer, M Lunacek, L Hayne National Renewable Energy Laboratory (NREL), Golden, CO (United States), 2022 | | 2022 |
| BUTTER: An Empirical Deep Learning Experimental Framework C Tripp, J Perr-Sauer, M Lunacek, L Hayne National Renewable Energy Laboratory (NREL), Golden, CO (United States), 2022 | | 2022 |
| Neuroanatomical Correlates of Anxiety and Depression Tripartite Dimensions in Adolescents L Hayne | | 2017 |
| Does Representation Similarity Capture Function Similarity? L Hayne, H Jung, RMK Carter | | |
