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Mark V. Albert
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2020 – today
- 2024
- [c11]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. IJCAI 2024: 7438-7446 - [i1]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 abs/2405.08969 (2024) - 2023
- [j8]Venkata Deepa Kota, Himanshu Sharma
, Mark V. Albert
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): 2270 (2023) - [c10]Riyad Bin Rafiq, Syed Araib Karim, Mark V. Albert:
An LSTM-based Gesture-to-Speech Recognition System. ICHI 2023: 430-438 - 2022
- [j7]Namratha Urs
Unsupervised learning in images and audio to produce neural receptive fields: a primer and accessible notebook. Artif. Intell. Rev. 55(1): 111-128 (2022) - [j6]Trevor Exley
Predicting UPDRS Motor Symptoms in Individuals With Parkinson's Disease From Force Plates Using Machine Learning. IEEE J. Biomed. Health Informatics 26(7): 3486-3494 (2022) - [c9]Zhuren Liu, Trevor Exley
Predicting GPU Performance and System Parameter Configuration Using Machine Learning. ISVLSI 2022: 253-258 - [c8]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: 391-394 - 2021
- [j5]Sahar Behpour
Automatic trend detection: Time-biased document clustering. Knowl. Based Syst. 220: 106907 (2021) - [c7]Ishan Ranasinghe, Chengping Yuan, Ram Dantu, Mark V. Albert:
A Collaborative and Adaptive Feedback System for Physical Exercises. CIC 2021: 11-15 - [c6]Ishan Ranasinghe, Ram Dantu, Mark V. Albert, Sam Watts, Ruben Ocana:
Cyber-Physiotherapy: Rehabilitation to Training. IM 2021: 1054-1057 - [c5]Ting Xiao
Design and Assessment of a Task-Driven Introductory Data Science Course Taught Concurrently in Multiple Languages: Python, R, and MATLAB. ITiCSE (1) 2021: 290-295 - 2020
- [c4]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: 2023-2026 - [c3]Shou-Jen Wang
Wearable spasticity estimation and validation using machine learning. BIBM 2020: 2109-2112 - [c2]Riyad Bin Rafiq, François Modave, Shion Guha, Mark V. Albert:
Validation Methods to Promote Real-world Applicability of Machine Learning in Medicine. DMIP 2020: 13-19 - [c1]Ting Xiao
Conversation Moderator: A Mobile App for Tracking Individual Speaking in Group Conversations. ICSC 2020: 430-433
2010 – 2019
- 2016
- [j4]Elaine E. Orendorff, Laurynas Kalesinskas, Robert T. Palumbo, Mark V. Albert:
Bayesian Analysis of Perceived Eye Level. Frontiers Comput. Neurosci. 10: 135 (2016) - 2012
- [j3]Mark V. Albert, Nicolas Catz, Peter Thier
Saccadic gain adaptation is predicted by the statistics of natural fluctuations in oculomotor function. Frontiers Comput. Neurosci. 6: 96 (2012)
2000 – 2009
- 2008
- [j2]Mark V. Albert, Adam Schnabel, David J. Field:
Innate Visual Learning through Spontaneous Activity Patterns. PLoS Comput. Biol. 4(8) (2008) - 2005
- [j1]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): 1261-1274 (2005)
Coauthor Index
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last updated on 2024-10-21 21:26 CEST by the dblp team
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