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 (AIPR, 2009)

Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference. - Benoit Jacob; Skirmantas Kligys; Bo Chen 019; Menglong Zhu; Matthew Tang; Andrew G. Howard; Hartwig Adam; Dmitry Kalenichenko (CVPR, 2018)

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 002 (CoRR, 2019)

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; et al. (ACSSC, 2020)

Attention Mechanism with BERT for Content Annotation and Categorization of Pregnancy-Related Questions on a Community Q&A Site. - Xiao Luo 002; Haoran Ding; Matthew Tang; Priyanka Gandhi; Zhan Zhang; Zhe He 001 (BIBM, 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 (HRI (Companion), 2020)

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 (RO-MAN, 2022)

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 (CHI, 2023)

The Role of Authentic Assessments in Multi-Displiniary Design and Build Modules for Enhancing Student Employability. - Yasir Alfadhl; Yue Chen 002; Kok Keong Chai; Matthew Tang (FIE, 2024)