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2020 – today
- 2024
[i2]Marc E. Canby, Adam Davies, Chirag Rastogi, Julia Hockenmaier:
Measuring the Reliability of Causal Probing Methods: Tradeoffs, Limitations, and the Plight of Nullifying Interventions. CoRR abs/2408.15510 (2024)- 2023
- [c2]Marc E. Canby, Julia Hockenmaier
:
A Framework for Bidirectional Decoding: Case Study in Morphological Inflection. EMNLP (Findings) 2023: 4485-4507 - [i1]Marc E. Canby, Julia Hockenmaier:
A Framework for Bidirectional Decoding: Case Study in Morphological Inflection. CoRR abs/2305.12580 (2023) - 2021
- [j3]Taylor R. Mauldin, Anne H. H. Ngu, Vangelis Metsis, Marc E. Canby:
Ensemble Deep Learning on Wearables Using Small Datasets. ACM Trans. Comput. Heal. 2(1): 5:1-5:30 (2021) - 2020
- [c1]Marc E. Canby, Aidana Karipbayeva, Bryan Lunt, Sahand Mozaffari, Charlotte Yoder, Julia Hockenmaier:
University of Illinois Submission to the SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection. SIGMORPHON 2020: 137-145
2010 – 2019
- 2019
- [j2]Taylor R. Mauldin, Anne H. H. Ngu, Vangelis Metsis, Marc E. Canby, Jelena Tesic:
Experimentation and Analysis of Ensemble Deep Learning in IoT Applications. Open J. Internet Things 5(1): 133-149 (2019) - 2018
- [j1]Taylor R. Mauldin, Marc E. Canby, Vangelis Metsis, Anne H. H. Ngu, Coralys Cubero Rivera:
SmartFall: A Smartwatch-Based Fall Detection System Using Deep Learning. Sensors 18(10): 3363 (2018)
Coauthor Index
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