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Michael Krusmark
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2020 – today
- 2022
- [j3]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): 739-755 (2022) - [c12]Michael G. Collins, Florian Sense, Michael Krusmark, Tiffany S. Jastrzembski:
Extending the Predictive Performance Equation to Account for Multivariate Performance. CogSci 2022 - [c11]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 - 2021
- [c10]Joshua Fiechter, Florian Sense, Michael G. Collins, Michael Krusmark, Tiffany S. Jastrzembski:
Additional acquisition sessions monotonically benefit retention and relearning. CogSci 2021 - [c9]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 - 2020
- [c8]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 - [c7]Florian Sense, Michael G. Collins, Tiffany S. Jastrzembski, Michael Krusmark:
Using K-means Clustering for Out-of-Sample Predictions of Memory Retention. CogSci 2020
2010 – 2019
- 2019
- [j2]Don R. Lyon, Glenn Gunzelmann, Michael Krusmark:
Path visualization: a method for objective measurement of spatial visualization. Spatial Cogn. Comput. 19(4): 309-333 (2019) - [c6]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: 1029-1034 - [c5]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: 3520 - 2017
- [c4]Michael G. Collins, Kevin A. Gluck, Matthew M. Walsh, Michael Krusmark:
Using Prior Data to Inform Initial Performance Predictions of Individual Students. CogSci 2017 - [c3]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: 148-161 - 2016
- [c2]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 - 2010
- [j1]Christopher W. Myers, Kevin A. Gluck, Glenn Gunzelmann, Michael Krusmark:
Validating Computational Cognitive Process Models across Multiple Timescales. J. Artif. Gen. Intell. 2(2): 108-127 (2010) - [c1]L. Richard Moore, Matthew Kopala, Thomas Mielke, Michael Krusmark, Kevin A. Gluck:
Simultaneous performance exploration and optimized search with volunteer computing. HPDC 2010: 312-315
2000 – 2009
- 2007
- [p1]Kevin A. Gluck, Jerry T. Ball, Michael Krusmark:
Cognitive Control in a Computational Model of the Predator Pilot. Integrated Models of Cognitive Systems 2007: 13-28
Coauthor Index
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