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)

Innate Visual Learning through Spontaneous Activity Patterns. - Mark V. Albert; Adam Schnabel; David J. Field (PLoS Comput. Biol., 2008)

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)

Bayesian Analysis of Perceived Eye Level. - Elaine E. Orendorff; Laurynas Kalesinskas; Robert T. Palumbo; Mark V. Albert (Frontiers Comput. Neurosci., 2016)

Phantom Tumor Tracking in Dual-Energy Fluoroscopy using a Kalman Filter. - Abolfazl Meyarian; Himan Namdari; Xiaohui Yuan 001; Mark V. Albert; John C. Roeske (BIBM, 2020)

Wearable spasticity estimation and validation using machine learning. - Shou-Jen Wang; Jeong-Ho Park; Hyung-Soon Park; Devak Nanda; Mark V. Albert (BIBM, 2020)

Validation Methods to Promote Real-world Applicability of Machine Learning in Medicine. - Riyad Bin Rafiq; François Modave; Shion Guha; Mark V. Albert (DMIP, 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 (ICSC, 2020)

A Collaborative and Adaptive Feedback System for Physical Exercises. - Ishan Ranasinghe; Chengping Yuan; Ram Dantu; Mark V. Albert (CIC, 2021)

Cyber-Physiotherapy: Rehabilitation to Training. - Ishan Ranasinghe; Ram Dantu; Mark V. Albert; Sam Watts; Ruben Ocana (IM, 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 (ITiCSE (1), 2021)

On-ramp to AI: lessons from the introductory AI course "Software Development for AI": conference tutorial. - Ting Xiao; Mark V. Albert (J. Comput. Sci. Coll., 2021)

Play with trained hierarchical reinforcement learning agents in two common games: conference tutorial. - Chengping Yuan; Mark V. Albert; Daniel McGartland; Jakob Smith; Anthony Solorio (J. Comput. Sci. Coll., 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)

Predicting GPU Performance and System Parameter Configuration Using Machine Learning. - Zhuren Liu; Trevor Exley; Austin Meek; Rachel Yang; Hui Zhao; Mark V. Albert (ISVLSI, 2022)

BAPO: A Large-Scale Multimodal Corpus for Ball Possession Prediction in American Football Games. - Ziruo Yi; Eduardo Blanco 002; Heng Fan 001; Mark V. Albert (MIPR, 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)

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)

An LSTM-based Gesture-to-Speech Recognition System. - Riyad Bin Rafiq; Syed Araib Karim; Mark V. Albert (ICHI, 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, 2023)

Language Models for Fall Risk Assessment in Children With Cerebral Palsy Using Electronic Medical Records. - Thasina Tabashum; Shou-Jen Wang; Joseph J. Krzak; Karen M. Kruger; Adam Graf; Ross S. Chafetz; Jon R. Davids; Anita Bagley; Jason Woloff; Susan E. Sienko; Jeremy P. Bauer; Mark V. Albert (BHI, 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 (IJCAI, 2024)

Cross-site model development and validation of the Shriners Gait Index. - Shou-Jen Wang; Thasina Tabashum; Joseph J. Krzak; Karen M. Kruger; Adam Graf; Ross S. Chafetz; Jon R. Davids; Anita Bagley; Susan E. Sienko; Jeremy P. Bauer; Mark V. Albert (ICHI, 2025)

A Multimodal Multi-Agent Framework for Radiology Report Generation. - Ziruo Yi; Ting Xiao; Mark V. Albert (CoRR, 2025)

Do Large Language Models Know Conflict? Investigating Parametric vs. Non-Parametric Knowledge of LLMs for Conflict Forecasting. - Apollinaire Poli Nemkova; Sarath Chandra Lingareddy; Sagnik Ray Choudhury; Mark V. Albert (CoRR, 2025)

Comparing LLM Text Annotation Skills: A Study on Human Rights Violations in Social Media Data. - Poli Nemkova; Solomon Ubani; Mark V. Albert (CoRR, 2025)

Towards Automated Situation Awareness: A RAG-Based Framework for Peacebuilding Reports. - Poli Nemkova; Suleyman Olcay Polat; Rafid I. Jahan; Sagnik Ray Choudhury; Sun-Joo Lee; Shouryadipta Sarkar; Mark V. Albert (CoRR, 2025)

A Multi-Agent System for Complex Reasoning in Radiology Visual Question Answering. - Ziruo Yi; Jinyu Liu; Ting Xiao; Mark V. Albert (CoRR, 2025)

Synthetic Adaptive Guided Embeddings (SAGE): A Novel Knowledge Distillation Method. - Suleyman Olcay Polat; Poli Nemkova; Mark V. Albert (CoRR, 2025)