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John H. Miller

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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.

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2020 – today

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2023
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Suraiya Akhter, John H. Miller:
BaPreS: a software tool for predicting bacteriocins using an optimal set of features. BMC Bioinform. 24(1): 313 (2023)
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Suraiya Akhter, John H. Miller:
BPAGS: a web application for bacteriocin prediction via feature evaluation using alternating decision tree, genetic algorithm, and linear support vector classifier. Frontiers Bioinform. 3 (2023)
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Nikolos Gurney, John H. Miller, David V. Pynadath:
The Role of Heuristics and Biases during Complex Choices with an AI Teammate. AAAI 2023: 5993-6001
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  - journals/corr/abs-2301-05969
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Nikolos Gurney, John H. Miller, David V. Pynadath:
The Role of Heuristics and Biases During Complex Choices with an AI Teammate. CoRR abs/2301.05969 (2023)
2022
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Nikolos Gurney, Tyler King, John H. Miller:
An Experimental Method for Studying Complex Choices. HCI (48) 2022: 39-45

2010 – 2019

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2012
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Lars J. Kangas, Thomas O. Metz, Giorgis Isaac, Brian T. Schrom, Bojana Ginovska-Pangovska, Luning Wang, Li Tan, Robert R. Lewis, John H. Miller:
In silico identification software (ISIS): a machine learning approach to tandem mass spectral identification of lipids. Bioinform. 28(13): 1705-1713 (2012)
2011
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Brian T. Schrom, Lars J. Kangas, Bojana Ginovska-Pangovska, Thomas O. Metz, John H. Miller:
Charge Prediction of Lipid Fragments in Mass Spectrometry. ICMLA (2) 2011: 186-188
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Arzu Gosney, John H. Miller, Ian Gorton, Christopher S. Oehmen:
An Adaptive Middleware Framework for Optimal Scheduling on Large Scale Compute Clusters. ITNG 2011: 713-718

2000 – 2009

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2007
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John H. Miller, Scott E. Page:
Complex adaptive systems - an introduction to computational models of social life. Princeton studies in complexity, Princeton Univ. Press 2007, ISBN 9780691127026, pp. I-XIX, 1-263
2004
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John H. Miller, Fang Zheng:
Large-scale simulations of cellular signaling processes. Parallel Comput. 30(9-10): 1137-1149 (2004)
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John H. Miller, Yan Fang Zheng:
Large-Scale Simulation of Eukaryotic Cell Signaling Processes. IPDPS 2004
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Joel C. Hunter, Joshua N. Adkins, Joel G. Pounds, John H. Miller:
Facilitating interpretation of mass spectrometry based proteomics data. METMBS 2004: 471-477

1980 – 1989

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1989
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John H. Miller, Stephanie Forrest:
The Dynamical Behavior of Classifier Systems. ICGA 1989: 304-310

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