Mark V. Albert

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 16

Top Topics

Machine Learning

Top Venues

IEEE J. Biomed. Health Informatics

Publications

Riyad Bin Rafiq, Weishi Shi, Mark V. Albert
Wearable Sensor-Based Few-Shot Continual Learning on Hand Gestures for Motor-Impaired Individuals via Latent Embedding Exploitation. CoRR (2024)
Riyad Bin Rafiq, Syed Araib Karim, Mark V. Albert
An LSTM-based Gesture-to-Speech Recognition System. ICHI (2023)
Venkata Deepa Kota, Himanshu Sharma, Mark V. Albert, Ifana Mahbub, Gayatri Mehta, Kamesh Namuduri
A Low-Power Wireless System for Predicting Early Signs of Sudden Cardiac Arrest Incorporating an Optimized CNN Model Implemented on NVIDIA Jetson. Sensors 23 (4) (2023)
Ziruo Yi, Eduardo Blanco, Heng Fan, Mark V. Albert
BAPO: A Large-Scale Multimodal Corpus for Ball Possession Prediction in American Football Games. MIPR (2022)
Zhuren Liu, Trevor Exley, Austin Meek, Rachel Yang, Hui Zhao, Mark V. Albert
Predicting GPU Performance and System Parameter Configuration Using Machine Learning. ISVLSI (2022)
Namratha Urs, Sahar Behpour, Angie Georgaras, Mark V. Albert
Unsupervised learning in images and audio to produce neural receptive fields: a primer and accessible notebook. Artif. Intell. Rev. 55 (1) (2022)
Trevor Exley, Sarah Moudy, Rita M. Patterson, Joonghyun Kim, Mark V. Albert
Predicting UPDRS Motor Symptoms in Individuals With Parkinson's Disease From Force Plates Using Machine Learning. IEEE J. Biomed. Health Informatics 26 (7) (2022)
Ishan Ranasinghe, Ram Dantu, Mark V. Albert, Sam Watts, Ruben Ocana
Cyber-Physiotherapy: Rehabilitation to Training. IM (2021)
Ting Xiao, Ronald I. Greenberg, Mark V. Albert
Design and Assessment of a Task-Driven Introductory Data Science Course Taught Concurrently in Multiple Languages: Python, R, and MATLAB. ITiCSE (2021)
Sahar Behpour, Mohammadmahdi Mohammadi, Mark V. Albert, Zinat S. Alam, Lingling Wang, Ting Xiao
Automatic trend detection: Time-biased document clustering. Knowl. Based Syst. 220 (2021)
Ishan Ranasinghe, Chengping Yuan, Ram Dantu, Mark V. Albert
A Collaborative and Adaptive Feedback System for Physical Exercises. CIC (2021)
Abolfazl Meyarian, Himan Namdari, Xiaohui Yuan, Mark V. Albert, John C. Roeske
Phantom Tumor Tracking in Dual-Energy Fluoroscopy using a Kalman Filter. BIBM (2020)
Shou-Jen Wang, Jeong-Ho Park, Hyung-Soon Park, Devak Nanda, Mark V. Albert
Wearable spasticity estimation and validation using machine learning. BIBM (2020)
Ting Xiao, Thasina Tabashum, Bassam Metwally, Mark V. Albert, Albert Du, Rejoice Jebamalaidass, Marcos Leal, Edgard Oliviera
Conversation Moderator: A Mobile App for Tracking Individual Speaking in Group Conversations. ICSC (2020)
Riyad Bin Rafiq, François Modave, Shion Guha, Mark V. Albert
Validation Methods to Promote Real-world Applicability of Machine Learning in Medicine. DMIP (2020)
Elaine E. Orendorff, Laurynas Kalesinskas, Robert T. Palumbo, Mark V. Albert
Bayesian Analysis of Perceived Eye Level. Frontiers Comput. Neurosci. 10 (2016)
Mark V. Albert, Nicolas Catz, Peter Thier, Konrad P. Körding
Saccadic gain adaptation is predicted by the statistics of natural fluctuations in oculomotor function. Frontiers Comput. Neurosci. 6 (2012)
Mark V. Albert, Adam Schnabel, David J. Field
Innate Visual Learning through Spontaneous Activity Patterns. PLoS Comput. Biol. 4 (8) (2008)
John R. Anderson, Mark V. Albert, Jon M. Fincham
Tracing Problem Solving in Real Time: fMRI Analysis of the Subject-paced Tower of Hanoi. J. Cogn. Neurosci. 17 (8) (2005)