Michael Krusmark

Publication Activity (10 Years)

Years Active: 2010-2022
Publications (10 Years): 13

Top Topics

Predictive Accuracy

Machine Learning Models

Cognitive Models

Top Venues

Top. Cogn. Sci.

Spatial Cogn. Comput.

Publications

Florian Sense, Ryan Wood, Michael G. Collins, Joshua Fiechter, Aihua Wood, Michael Krusmark, Tiffany S. Jastrzembski, Christopher W. Myers
Cognition-Enhanced Machine Learning for Better Predictions with Limited Data. Top. Cogn. Sci. 14 (4) (2022)
Michael G. Collins, Florian Sense, Michael Krusmark, Tiffany S. Jastrzembski
Extending the Predictive Performance Equation to Account for Multivariate Performance. CogSci (2022)
Florian Sense, Lauren Sanderson, Joshua Onia, Michael Krusmark, Joshua Fiechter, Michael G. Collins, Tiffany S. Jastrzembski
Fuzzy Performance Profiles: Towards Personalized CPR Refresher Training. CogSci (2022)
Florian Sense, Michael Krusmark, Joshua Fiechter, Michael G. Collins, Lauren Sanderson, Joshua Onia, Tiffany S. Jastrzembski
Combining Cognitive and Machine Learning Models to Mine CPR Training Histories for Personalized Predictions. EDM (2021)
Joshua Fiechter, Florian Sense, Michael G. Collins, Michael Krusmark, Tiffany S. Jastrzembski
Additional acquisition sessions monotonically benefit retention and relearning. CogSci (2021)
Michael G. Collins, Florian Sense, Michael Krusmark, Tiffany S. Jastrzembski
Improving Predictive Accuracy of Models of Learning and Retention Through Bayesian Hierarchical Modeling: An Exploration with the Predictive Performance Equation. CogSci (2020)
Florian Sense, Michael G. Collins, Tiffany S. Jastrzembski, Michael Krusmark
Using K-means Clustering for Out-of-Sample Predictions of Memory Retention. CogSci (2020)
Don R. Lyon, Glenn Gunzelmann, Michael Krusmark
Path visualization: a method for objective measurement of spatial visualization. Spatial Cogn. Comput. 19 (4) (2019)
Florian Sense, Tiffany S. Jastrzembski, Michael Krusmark, Siera Martinez, Hedderik van Rijn
An Integrated Trial-Level Performance Measure: Combining Accuracy and RT to Express Performance During Learning. CogSci (2019)
Sarah C. Maaß, Florian Sense, Michael Krusmark, Kevin A. Gluck, Hedderik van Rijn
Deconvolving a Complex, Real-Life Task: Do standard lab tasks predict CPR learning and retention? CogSci (2019)
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
Personalizing Training to Acquire and Sustain Competence Through Use of a Cognitive Model. HCI (15) (2017)
Michael G. Collins, Kevin A. Gluck, Matthew M. Walsh, Michael Krusmark
Using Prior Data to Inform Initial Performance Predictions of Individual Students. CogSci (2017)
Michael G. Collins, Kevin A. Gluck, Matthew M. Walsh, Michael Krusmark, Glenn Gunzelmann
Using Prior Data to Inform Model Parameters in the Predictive Performance Equation. CogSci (2016)
L. Richard Moore, Matthew Kopala, Thomas Mielke, Michael Krusmark, Kevin A. Gluck
Simultaneous performance exploration and optimized search with volunteer computing. HPDC (2010)
Christopher W. Myers, Kevin A. Gluck, Glenn Gunzelmann, Michael Krusmark
Validating Computational Cognitive Process Models across Multiple Timescales. J. Artif. Gen. Intell. 2 (2) (2010)