Mark V. Albert

According to our database, Mark V. Albert authored at least 19 papers between 2005 and 2024.

Collaborative distances:

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

2024

Wearable Sensor-Based Few-Shot Continual Learning on Hand Gestures for Motor-Impaired Individuals via Latent Embedding Exploitation.

Riyad Bin Rafiq, Weishi Shi, Mark V. Albert

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

A Low-Power Wireless System for Predicting Early Signs of Sudden Cardiac Arrest Incorporating an Optimized CNN Model Implemented on NVIDIA Jetson.

Venkata Deepa Kota, Himanshu Sharma, Mark V. Albert, Ifana Mahbub, Gayatri Mehta, Kamesh Namuduri

Sensors, February, 2023

An LSTM-based Gesture-to-Speech Recognition System.

Riyad Bin Rafiq, Syed Araib Karim, Mark V. Albert

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.

Trevor Exley, Sarah Moudy, Rita M. Patterson, Joonghyun Kim, Mark V. Albert

IEEE J. Biomed. Health Informatics, 2022

Unsupervised learning in images and audio to produce neural receptive fields: a primer and accessible notebook.

Namratha Urs, Sahar Behpour, Angie Georgaras, Mark V. Albert

Artif. Intell. Rev., 2022

BAPO: A Large-Scale Multimodal Corpus for Ball Possession Prediction in American Football Games.

Ziruo Yi, Eduardo Blanco, Heng Fan, Mark V. Albert

Proceedings of the 5th IEEE International Conference on Multimedia Information Processing and Retrieval, 2022

Predicting GPU Performance and System Parameter Configuration Using Machine Learning.

Zhuren Liu, Trevor Exley, Austin Meek, Rachel Yang, Hui Zhao, Mark V. Albert

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2022

2021

Automatic trend detection: Time-biased document clustering.

Sahar Behpour, Mohammadmahdi Mohammadi, Mark V. Albert, Zinat S. Alam, Lingling Wang, Ting Xiao

Knowl. Based Syst., 2021

Design and Assessment of a Task-Driven Introductory Data Science Course Taught Concurrently in Multiple Languages: Python, R, and MATLAB.

Ting Xiao, Ronald I. Greenberg, Mark V. Albert

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

Cyber-Physiotherapy: Rehabilitation to Training.

Ishan Ranasinghe, Ram Dantu, Mark V. Albert, Sam Watts, Ruben Ocana

Proceedings of the 17th IFIP/IEEE International Symposium on Integrated Network Management, 2021

A Collaborative and Adaptive Feedback System for Physical Exercises.

Ishan Ranasinghe, Chengping Yuan, Ram Dantu, Mark V. Albert

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.

Ting Xiao, Thasina Tabashum, Bassam Metwally, Mark V. Albert, Albert Du, Rejoice Jebamalaidass, Marcos Leal, Edgard Oliviera

Proceedings of the IEEE 14th International Conference on Semantic Computing, 2020

Validation Methods to Promote Real-world Applicability of Machine Learning in Medicine.

Riyad Bin Rafiq, François Modave, Shion Guha, Mark V. Albert

Proceedings of the DMIP 2020: 3rd International Conference on Digital Medicine and Image Processing, 2020

Wearable spasticity estimation and validation using machine learning.

Shou-Jen Wang, Jeong-Ho Park, Hyung-Soon Park, Devak Nanda, Mark V. Albert

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Phantom Tumor Tracking in Dual-Energy Fluoroscopy using a Kalman Filter.

Abolfazl Meyarian, Himan Namdari, Xiaohui Yuan, Mark V. Albert, John C. Roeske

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2016

Bayesian Analysis of Perceived Eye Level.

Elaine E. Orendorff, Laurynas Kalesinskas, Robert T. Palumbo, Mark V. Albert

Frontiers Comput. Neurosci., 2016

2012

Saccadic gain adaptation is predicted by the statistics of natural fluctuations in oculomotor function.

Mark V. Albert, Nicolas Catz, Peter Thier, Konrad P. Körding

Frontiers Comput. Neurosci., 2012

2008

Innate Visual Learning through Spontaneous Activity Patterns.

Mark V. Albert, Adam Schnabel, David J. Field

PLoS Comput. Biol., 2008

2005

Tracing Problem Solving in Real Time: fMRI Analysis of the Subject-paced Tower of Hanoi.

John R. Anderson, Mark V. Albert, Jon M. Fincham

J. Cogn. Neurosci., 2005