Grace M. Mirsky

According to our database, Grace M. Mirsky authored at least 11 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Data Readiness Index for RAG Applications.

Grace M. Mirsky, Marc M. Raman

Proceedings of the 3rd International Conference on Foundation and Large Language Models, 2025

2022

Using LSTM Networks for Multiparameter Physiological Signal Reconstruction to Reduce Training Time.

Alia E. Alramahi, Adrian K. Cornely, Grace M. Mirsky

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

Impact of Pre-Processing Decisions on Automated ECG Classification Accuracy.

Adrian K. Cornely, Grace M. Mirsky

Proceedings of the Computing in Cardiology, 2022

Heart Murmur Detection Using Wavelet Time Scattering and Support Vector Machines.

Adrian K. Cornely, Grace M. Mirsky

Proceedings of the Computing in Cardiology, 2022

2021

Reduced-Lead Electrocardiogram Classification Using Wavelet Analysis and Deep Learning.

Adrian K. Cornely, Alondra Carrillo, Grace M. Mirsky

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020

Automated Classification of Electrocardiograms Using Wavelet Analysis and Deep Learning.

Andrew Demonbreun, Grace M. Mirsky

Proceedings of the Computing in Cardiology, 2020

2018

Effectiveness of specifications grading in teaching technical writing to computer science students.

Grace M. Mirsky

J. Comput. Sci. Coll., 2018

2017

Optimizing Kinect® Depth Sensing Using Dynamic Polarization.

Jakub Jancek, Darya Aleinikava, Grace M. Mirsky

Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education, 2017

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

Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

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

Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

2015

Reduction of False Cardiac Arrhythmia Alarms Through the Use of Machine Learning Techniques.

Miguel Caballero, Grace M. Mirsky

Proceedings of the Computing in Cardiology, 2015