Mark V. Albert
Orcid: 0000-0003-3977-2895
According to our database1,
Mark V. Albert
authored at least 18 papers
between 2005 and 2023.
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Bibliography
2023
A Low-Power Wireless System for Predicting Early Signs of Sudden Cardiac Arrest Incorporating an Optimized CNN Model Implemented on NVIDIA Jetson.
Sensors, February, 2023
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023
2022
Predicting UPDRS Motor Symptoms in Individuals With Parkinson's Disease From Force Plates Using Machine Learning.
IEEE J. Biomed. Health Informatics, 2022
Unsupervised learning in images and audio to produce neural receptive fields: a primer and accessible notebook.
Artif. Intell. Rev., 2022
BAPO: A Large-Scale Multimodal Corpus for Ball Possession Prediction in American Football Games.
Proceedings of the 5th IEEE International Conference on Multimedia Information Processing and Retrieval, 2022
Predicting GPU Performance and System Parameter Configuration Using Machine Learning.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2022
2021
Design and Assessment of a Task-Driven Introductory Data Science Course Taught Concurrently in Multiple Languages: Python, R, and MATLAB.
Proceedings of the ITiCSE '21: Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V.1, Virtual Event, Germany, June 26, 2021
Proceedings of the 17th IFIP/IEEE International Symposium on Integrated Network Management, 2021
Proceedings of the 7th IEEE International Conference on Collaboration and Internet Computing, 2021
2020
Conversation Moderator: A Mobile App for Tracking Individual Speaking in Group Conversations.
Proceedings of the IEEE 14th International Conference on Semantic Computing, 2020
Validation Methods to Promote Real-world Applicability of Machine Learning in Medicine.
Proceedings of the DMIP 2020: 3rd International Conference on Digital Medicine and Image Processing, 2020
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2016
2012
Saccadic gain adaptation is predicted by the statistics of natural fluctuations in oculomotor function.
Frontiers Comput. Neurosci., 2012
2008
PLoS Comput. Biol., 2008
2005
Tracing Problem Solving in Real Time: fMRI Analysis of the Subject-paced Tower of Hanoi.
J. Cogn. Neurosci., 2005