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ORCIDTyler Giallanza
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Journal Articles
- 2022
[j2]Marius Catalin Iordan, Tyler Giallanza, Cameron T. Ellis
, Nicole M. Beckage, Jonathan D. Cohen:
Context Matters: Recovering Human Semantic Structure from Machine Learning Analysis of Large-Scale Text Corpora. Cogn. Sci. 46(2) (2022)- 2019
- [j1]Tyler Giallanza, Travis Siems, Elena Smith, Erik Gabrielsen, Ian Johnson, Mitchell A. Thornton, Eric C. Larson:
Keyboard Snooping from Mobile Phone Arrays with Mixed Convolutional and Recurrent Neural Networks. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(2): 45:1-45:22 (2019)
Conference and Workshop Papers
- 2021
- [c3]Gregory Henselman-Petrusek, Tyler Giallanza, Sebastian Musslick, Jonathan Cohen:
Regression, encoding, control: an integrated approach to shared representations with distributed coding. CogSci 2021 - [c2]Ayaan Haque, Viraaj Reddi, Tyler Giallanza:
Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction. ICANN (5) 2021: 436-447 - 2019
- [c1]Tyler Giallanza, Erik Gabrielsen, Michael A. Taylor, Eric C. Larson, Mitchell A. Thornton:
Task Value Calculus: Multi-Objective Trade off Analysis Using Multiple-Valued Decision Diagrams. ISMVL 2019: 126-131
Informal and Other Publications
- 2024
- [i3]Declan Campbell, Sreejan Kumar, Tyler Giallanza, Thomas L. Griffiths, Jonathan D. Cohen:
Human-Like Geometric Abstraction in Large Pre-trained Neural Networks. CoRR abs/2402.04203 (2024) - 2021
- [i2]Ayaan Haque, Viraaj Reddi, Tyler Giallanza:
Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction. CoRR abs/2102.09427 (2021) - 2019
- [i1]Marius Catalin Iordan, Tyler Giallanza, Cameron T. Ellis, Nicole Beckage, Jonathan D. Cohen:
Context Matters: Recovering Human Semantic Structure from Machine Learning Analysis of Large-Scale Text Corpora. CoRR abs/1910.06954 (2019)
Coauthor Index
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