Mark V. Albert - Publications, H-index & Citations

Mark V. Albert

University of North Texas

21H指数

92论文数

1.6K被引数

收录论文 18

发表时间

Scaling Down, Powering Up: A Survey on the Advancements of Small Vision-Language Models 缩小规模，增强性能：小规模视觉语言模型进展综述

Information Fusion

IF15.5

2025-10-04

PREAI

Sheikh Iftekhar Ahmed; Muhammad Zubair Hasan; Abrar Jahin Niloy; Mostofa Syed Monsur; Mark V. Albert

Machine Learning Models for Parkinson Disease: Systematic Review 帕金森病的机器学习模型: 系统综述

JMIR MEDICAL INFORMATICS

IF3.8

2024-05-17

OAAI

Tabashum, Thasina; Snyder, Robert Cooper; O'Brien, Megan K.; Albert, Mark, V

AI-organoid integrated systems for biomedical studies and applications

BIOENGINEERING & TRANSLATIONAL MEDICINE

IF5.7

2024-01-20

OAAI

Maramraju, Sudhiksha; Kowalczewski, Andrew; Kaza, Anirudh; Liu, Xiyuan; Singaraju, Jathin Pranav; Albert, Mark V.; Ma, Zhen; Yang, Huaxiao

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

SENSORS

IF3.5

2023-02-17

OAAI

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

Autoencoder Composite Scoring to Evaluate Prosthetic Performance in Individuals with Lower Limb Amputation

BIOENGINEERING-BASEL

IF3.7

2022-10-18

OAAI

Tabashum, Thasina; Xiao, Ting; Jayaraman, Chandrasekaran; Mummidisetty, Chaithanya K.; Jayaraman, Arun; Albert, Mark, V

Predicting UPDRS Motor Symptoms in Individuals With Parkinson's Disease From Force Plates Using Machine Learning

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS

IF6.8

2022-07-01

PREAI

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

Wearable airbag technology and machine learned models to mitigate falls after stroke 可穿戴安全气囊技术和机器学习模型可减轻中风后跌倒

JOURNAL OF NEUROENGINEERING AND REHABILITATION

IF5.2

2022-06-17

OAAI

Botonis, Olivia K.; Harari, Yaar; Embry, Kyle R.; Mummidisetty, Chaithanya K.; Riopelle, David; Giffhorn, Matt; Albert, Mark V.; Vallery, Heike; Jayaraman, Arun

On the Role of LGN/V1 Spontaneous Activity as an Innate Learning Pattern for Visual Development

FRONTIERS IN PHYSIOLOGY

IF3.4

2021-10-27

OAAI

Behpour, Sahar; Field, David J.; Albert, Mark, V

A smartphone-based online system for fall detection with alert notifications and contextual information of real-life falls

JOURNAL OF NEUROENGINEERING AND REHABILITATION

IF5.2

2021-08-10

OAAI

Harari, Yaar; Shawen, Nicholas; Mummidisetty, Chaithanya K.; Albert, Mark, V; Kording, Konrad P.; Jayaraman, Arun

Using a microprocessor knee (C-Leg) with appropriate foot transitioned individuals with dysvascular transfemoral amputations to higher performance levels: a longitudinal randomized clinical trial

JOURNAL OF NEUROENGINEERING AND REHABILITATION

IF5.2

2021-05-25

OAAI

Jayaraman, Chandrasekaran; Mummidisetty, Chaithanya K.; Albert, Mark V.; Lipschutz, Robert; Hoppe-Ludwig, Shenan; Mathur, Gayatri; Jayaraman, Arun

Automatic trend detection: Time-biased document clustering

KNOWLEDGE-BASED SYSTEMS

IF7.6

2021-05-01

OAAI

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

Detection of Parkinson's Disease Through Automated Pupil Tracking of the Post-illumination Pupillary Response

FRONTIERS IN MEDICINE

IF3

2021-03-25

OAAI

Tabashum, Thasina; Zaffer, Adnaan; Yousefzai, Raman; Colletta, Kalea; Jost, Mary Beth; Park, Youngsook; Chawla, Jasvinder; Gaynes, Bruce; Albert, Mark V.; Xiao, Ting

Activity Recognition for Incomplete Spinal Cord Injury Subjects Using Hidden Markov Models

IEEE SENSORS JOURNAL

IF4.5

2018-08-01

OAAI

Sok, Pichleap; Xiao, Ting; Azeze, Yohannes; Jayaraman, Arun; Albert, Mark, V

Addendum of: Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances Robustness for Real-World Applications (vol 5, 2017)

JMIR MHEALTH AND UHEALTH

IF6.2

2017-12-20

OAAI

Shawen, Nicholas; Lonini, Luca; Mummidisetty, Chaithanya Krishna; Shparii, Ilona; Albert, Mark V.; Kording, Konrad; Jayaraman, Arun