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Matthew Tang
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2020 – today
- 2023
- [c7]Zachary A. Pardos, Matthew Tang, Ioannis Anastasopoulos, Shreya K. Sheel, Ethan Zhang:
OATutor: An Open-source Adaptive Tutoring System and Curated Content Library for Learning Sciences Research. CHI 2023: 416:1-416:17 - 2022
- [c6]Matthew Rueben, Eitan Rothberg, Matthew Tang, Sarah Inzerillo, Saurabh S. Kshirsagar, Maansi Manchanda, Ginger Dudley, Marlena R. Fraune, Maja J. Mataric:
The Robot Olympics: Estimating and Influencing Beliefs About a Robot's Perceptual Capabilities. RO-MAN 2022: 1405-1412 - 2020
- [c5]Francesco Piccoli, Rajarathnam Balakrishnan, Maria Jesus Perez, Moraldeepsingh Sachdeo, Carlos Nuñez, Matthew Tang, Kajsa Andreasson, Kalle Bjurek, Ria Dass Raj, Ebba Davidsson, Colin Eriksson, Victor Hagman, Jonas Sjöberg, Ying Li, L. Srikar Muppirisetty, Sohini Roychowdhury:
FuSSI-Net: Fusion of Spatio-temporal Skeletons for Intention Prediction Network. ACSSC 2020: 68-72 - [c4]Xiao Luo, Haoran Ding, Matthew Tang, Priyanka Gandhi, Zhan Zhang, Zhe He:
Attention Mechanism with BERT for Content Annotation and Categorization of Pregnancy-Related Questions on a Community Q&A Site. BIBM 2020: 1077-1081 - [c3]Matthew Rueben, Maja J. Mataric, Eitan Rothberg, Matthew Tang:
Estimating and Influencing User Mental Models of a Robot's Perceptual Capabilities: Initial Development and Pilot Study. HRI (Companion) 2020: 418-420 - [i3]Francesco Piccoli, Rajarathnam Balakrishnan, Maria Jesus Perez, Moraldeepsingh Sachdeo, Carlos Nuñez, Matthew Tang, Kajsa Andreasson, Kalle Bjurek, Ria Dass Raj, Ebba Davidsson, Colin Eriksson, Victor Hagman, Jonas Sjöberg, Ying Li, L. Srikar Muppirisetty, Sohini Roychowdhury:
FuSSI-Net: Fusion of Spatio-temporal Skeletons for Intention Prediction Network. CoRR abs/2005.07796 (2020)
2010 – 2019
- 2019
- [i2]Matthew Tang, Priyanka Gandhi, Md. Ahsanul Kabir, Christopher Zou, Jordyn Blakey, Xiao Luo:
Progress Notes Classification and Keyword Extraction using Attention-based Deep Learning Models with BERT. CoRR abs/1910.05786 (2019) - 2018
- [c2]Benoit Jacob, Skirmantas Kligys, Bo Chen, Menglong Zhu, Matthew Tang, Andrew G. Howard, Hartwig Adam, Dmitry Kalenichenko:
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference. CVPR 2018: 2704-2713 - 2017
- [i1]Benoit Jacob, Skirmantas Kligys, Bo Chen, Menglong Zhu, Matthew Tang, Andrew G. Howard, Hartwig Adam, Dmitry Kalenichenko:
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference. CoRR abs/1712.05877 (2017)
2000 – 2009
- 2009
- [c1]Peter Doucette, Ann Martin, Chris Kavanagh, Tim McIntyre, Steven Barton, Jacek Grodecki, Seth M. Malitz, Matthew Tang, Joshua Nolting:
Evaluation methods for curvilinear feature extraction. AIPR 2009: 1-6
Coauthor Index
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