59 citations · 88 across the 8 of their papers we have counts for
9 papers
Correcting Automated and Manual Speech Transcription Errors using Warped Language Models
Mahdi Namazifar, John Malik, Li Erran Li +2
Masked language models have revolutionized natural language processing systems in the past few years. A recently introduced generalization of masked language models called warped l…
Unsupervised Ensembling of Multiple Software Sensors with Phase Synchronization: A Robust Approach For Electrocardiogram-derived Respiration
Jacob McErlean, John Malik, Yu-Ting Lin +2
Objective: We aimed to fuse the outputs of different electrocardiogram-derived respiration (EDR) algorithms to create one EDR signal that is of higher quality. Methods: We viewed e…
An Adaptive QRS Detection Algorithm for Ultra-Long-Term ECG Recordings
John Malik, Elsayed Z Soliman, Hau-Tieng Wu
Background: Accurate detection of QRS complexes during mobile, ultra-long-term ECG monitoring is challenged by instances of high heart rate, dramatic and persistent changes in sign…
Wave-shape oscillatory model for nonstationary periodic time series analysis
Yu-Ting Lin, John Malik, Hau-Tieng Wu
The oscillations observed in many time series, particularly in biomedicine, exhibit morphological variations over time. These morphological variations are caused by intrinsic or ex…
Recycling cardiogenic artifacts in impedance pneumography
Yao Lu, Hau-tieng Wu, John Malik
Purpose: Biomedical sensors often exhibit cardiogenic artifacts which, while distorting the signal of interest, carry useful hemodynamic information. We propose an algorithm to rem…
Sleep-wake classification via quantifying heart rate variability by convolutional neural network
John Malik, Yu-Lun Lo, Hau-tieng Wu
Fluctuations in heart rate are intimately tied to changes in the physiological state of the organism. We examine and exploit this relationship by classifying a human subject's wake…
Connecting Dots -- from Local Covariance to Empirical Intrinsic Geometry and Locally Linear Embedding
John Malik, Chao Shen, Hau-Tieng Wu +1
Local covariance structure under the manifold setup has been widely applied in the machine learning society. Based on the established theoretical results, we provide an extensive s…
Diffuse to fuse EEG spectra -- intrinsic geometry of sleep dynamics for classification
Gi-Ren Liu, Yu-Lun Lo, John Malik +2
We propose a novel algorithm for sleep dynamics visualization and automatic annotation by applying diffusion geometry based sensor fusion algorithm to fuse spectral information fro…
Single-lead f-wave extraction using diffusion geometry
John Malik, Neil Reed, Chun-Li Wang +1
A novel single-lead f-wave extraction algorithm based on the modern diffusion geometry data analysis framework is proposed. The algorithm is essentially an averaged beat subtractio…