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Multi-center Assessment of CNN-Transformer with Belief Matching Loss for Patient-independent Seizure Detection in Scalp and Intracranial EEG


Aug 09, 2022
Wei Yan Peh, Prasanth Thangavel, Yuanyuan Yao, John Thomas, Yee Leng Tan, Justin Dauwels

* Submitted to Nature Communications 

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Transformer Convolutional Neural Networks for Automated Artifact Detection in Scalp EEG


Aug 04, 2022
Wei Yan Peh, Yuanyuan Yao, Justin Dauwels

* This is an extension to a paper presented at the 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) Scottish Event Campus, Glasgow, UK, July 11-15, 2022 

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Enhance Language Identification using Dual-mode Model with Knowledge Distillation


Mar 07, 2022
Hexin Liu, Leibny Paola Garcia Perera, Andy W. H. Khong, Justin Dauwels, Suzy J. Styles, Sanjeev Khudanpur

* Submitted to Odyssey 2022 

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R3L: Connecting Deep Reinforcement Learning to Recurrent Neural Networks for Image Denoising via Residual Recovery


Jul 12, 2021
Rongkai Zhang, Jiang Zhu, Zhiyuan Zha, Justin Dauwels, Bihan Wen

* Accepted by ICIP 2021 

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Efficient Variational Bayesian Structure Learning of Dynamic Graphical Models


Sep 16, 2020
Hang Yu, Justin Dauwels


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Curb Your Normality: On the Quality Requirements of Demand Prediction for Dynamic Public Transport


Sep 01, 2020
Inon Peled, Kelvin Lee, Yu Jiang, Justin Dauwels, Francisco C. Pereira

* 10 pages, 9 tables, 6 figures 

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Modeling Sensing and Perception Errors towards Robust Decision Making in Autonomous Vehicles


Jan 31, 2020
Andrea Piazzoni, Jim Cherian, Martin Slavik, Justin Dauwels

* 11 pages, 8 figures. Preprint of an article submitted to IJCAI2020 

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Factored Latent-Dynamic Conditional Random Fields for Single and Multi-label Sequence Modeling


Nov 12, 2019
Satyajit Neogi, Justin Dauwels

* To be submitted to Journal of Machine Learning Research (JMLR) 

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