Reduction of False Cardiac Arrhythmia Alarms Through the Use of Machine Learning Techniques. - Miguel Caballero; Grace M. Mirsky (CinC, 2015)

Automated Classification of Normal and Abnormal Heart Sounds using Support Vector Machines. - Anthony Bouril; Darya Aleinikava; María de la Salud Guillem Sánchez; Grace M. Mirsky (CinC, 2016)

Analysis of the Clinical Utility of Algorithms in the 2009 PhysioNet/Computing in Cardiology Challenge for the Prediction of Acute Hypotensive Episodes. - Grace M. Mirsky; María de la Salud Guillem Sánchez (CinC, 2016)

Optimizing Kinect® Depth Sensing Using Dynamic Polarization. - Jakub Jancek; Darya Aleinikava; Grace M. Mirsky (SIGCSE, 2017)

Effectiveness of specifications grading in teaching technical writing to computer science students. - Grace M. Mirsky (J. Comput. Sci. Coll., 2018)

Automated Classification of Electrocardiograms Using Wavelet Analysis and Deep Learning. - Andrew Demonbreun; Grace M. Mirsky (CinC, 2020)

Reduced-Lead Electrocardiogram Classification Using Wavelet Analysis and Deep Learning. - Adrian K. Cornely; Alondra Carrillo; Grace M. Mirsky (CinC, 2021)

Heart Murmur Detection Using Wavelet Time Scattering and Support Vector Machines. - Adrian K. Cornely; Grace M. Mirsky (CinC, 2022)

Impact of Pre-Processing Decisions on Automated ECG Classification Accuracy. - Adrian K. Cornely; Grace M. Mirsky (CinC, 2022)

Using LSTM Networks for Multiparameter Physiological Signal Reconstruction to Reduce Training Time. - Alia E. Alramahi; Adrian K. Cornely; Grace M. Mirsky (SIGCSE (2), 2022)