Cognitive Control in a Computational Model of the Predator Pilot. - Kevin A. Gluck; Jerry T. Ball; Michael Krusmark (Integrated Models of Cognitive Systems, 2007)

Simultaneous performance exploration and optimized search with volunteer computing. - L. Richard Moore; Matthew Kopala; Thomas Mielke; Michael Krusmark; Kevin A. Gluck (HPDC, 2010)

Validating Computational Cognitive Process Models across Multiple Timescales. - Christopher W. Myers; Kevin A. Gluck; Glenn Gunzelmann; Michael Krusmark (J. Artif. Gen. Intell., 2010)

Using Prior Data to Inform Model Parameters in the Predictive Performance Equation. - Michael G. Collins; Kevin A. Gluck; Matthew M. Walsh; Michael Krusmark; Glenn Gunzelmann (CogSci, 2016)

Using Prior Data to Inform Initial Performance Predictions of Individual Students. - Michael G. Collins; Kevin A. Gluck; Matthew M. Walsh; Michael Krusmark (CogSci, 2017)

Personalizing Training to Acquire and Sustain Competence Through Use of a Cognitive Model. - Tiffany S. Jastrzembski; Matthew M. Walsh; Michael Krusmark; Suzan Kardong-Edgren; Marilyn Oermann; Karey Dufour; Teresa Millwater; Kevin A. Gluck; Glenn Gunzelmann; Jack Harris; Dimitrios Stefanidis (HCI (15), 2017)

Deconvolving a Complex, Real-Life Task: Do standard lab tasks predict CPR learning and retention? - Sarah C. Maaß; Florian Sense; Michael Krusmark; Kevin A. Gluck; Hedderik van Rijn (CogSci, 2019)

An Integrated Trial-Level Performance Measure: Combining Accuracy and RT to Express Performance During Learning. - Florian Sense; Tiffany S. Jastrzembski; Michael Krusmark; Siera Martinez; Hedderik van Rijn (CogSci, 2019)

Path visualization: a method for objective measurement of spatial visualization. - Don R. Lyon; Glenn Gunzelmann; Michael Krusmark (Spatial Cogn. Comput., 2019)

Improving Predictive Accuracy of Models of Learning and Retention Through Bayesian Hierarchical Modeling: An Exploration with the Predictive Performance Equation. - Michael G. Collins; Florian Sense; Michael Krusmark; Tiffany S. Jastrzembski (CogSci, 2020)

Using K-means Clustering for Out-of-Sample Predictions of Memory Retention. - Florian Sense; Michael G. Collins; Tiffany S. Jastrzembski; Michael Krusmark (CogSci, 2020)

Additional acquisition sessions monotonically benefit retention and relearning. - Joshua Fiechter; Florian Sense; Michael G. Collins; Michael Krusmark; Tiffany S. Jastrzembski (CogSci, 2021)

Combining Cognitive and Machine Learning Models to Mine CPR Training Histories for Personalized Predictions. - Florian Sense; Michael Krusmark; Joshua Fiechter; Michael G. Collins; Lauren Sanderson; Joshua Onia; Tiffany S. Jastrzembski (EDM, 2021)

Extending the Predictive Performance Equation to Account for Multivariate Performance. - Michael G. Collins; Florian Sense; Michael Krusmark; Tiffany S. Jastrzembski (CogSci, 2022)

Fuzzy Performance Profiles: Towards Personalized CPR Refresher Training. - Florian Sense; Lauren Sanderson; Joshua Onia; Michael Krusmark; Joshua Fiechter; Michael G. Collins; Tiffany S. Jastrzembski (CogSci, 2022)

Cognition-Enhanced Machine Learning for Better Predictions with Limited Data. - Florian Sense; Ryan Wood; Michael G. Collins; Joshua Fiechter; Aihua Wood; Michael Krusmark; Tiffany S. Jastrzembski; Christopher W. Myers (Top. Cogn. Sci., 2022)