Matthew Tang

According to our database, Matthew Tang authored at least 8 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

OATutor: An Open-source Adaptive Tutoring System and Curated Content Library for Learning Sciences Research.

Zachary A. Pardos, Matthew Tang, Ioannis Anastasopoulos, Shreya K. Sheel, Ethan Zhang

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

The Robot Olympics: Estimating and Influencing Beliefs About a Robot's Perceptual Capabilities.

Matthew Rueben, Eitan Rothberg, Matthew Tang, Sarah Inzerillo, Saurabh S. Kshirsagar, Maansi Manchanda, Ginger Dudley, Marlena R. Fraune, Maja J. Mataric

Proceedings of the 31st IEEE International Conference on Robot and Human Interactive Communication, 2022

2020

Estimating and Influencing User Mental Models of a Robot's Perceptual Capabilities: Initial Development and Pilot Study.

Matthew Rueben, Maja J. Mataric, Eitan Rothberg, Matthew Tang

Proceedings of the Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, 2020

Attention Mechanism with BERT for Content Annotation and Categorization of Pregnancy-Related Questions on a Community Q&A Site.

Xiao Luo, Haoran Ding, Matthew Tang, Priyanka Gandhi, Zhan Zhang, Zhe He

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

FuSSI-Net: Fusion of Spatio-temporal Skeletons for Intention Prediction Network.

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

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019

Progress Notes Classification and Keyword Extraction using Attention-based Deep Learning Models with BERT.

Matthew Tang, Priyanka Gandhi, Md. Ahsanul Kabir, Christopher Zou, Jordyn Blakey, Xiao Luo

CoRR, 2019

2018

Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference.

Benoit Jacob, Skirmantas Kligys, Bo Chen, Menglong Zhu, Matthew Tang, Andrew G. Howard, Hartwig Adam, Dmitry Kalenichenko

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2009

Evaluation methods for curvilinear feature extraction.

Peter Doucette, Ann Martin, Chris Kavanagh, Tim McIntyre, Steven Barton, Jacek Grodecki, Seth M. Malitz, Matthew Tang, Joshua Nolting

Proceedings of the 2009 IEEE Applied Imagery Pattern Recognition Workshop, 2009