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Michael Muhlbaier

Michael D. Muhlbaier

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2010 – 2019

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2010
[c7]
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  - conf/mcs/DitzlerMP10
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Gregory Ditzler, Michael D. Muhlbaier, Robi Polikar:
Incremental Learning of New Classes in Unbalanced Datasets: Learn^{+ +}.UDNC. MCS 2010: 33-42

2000 – 2009

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2009
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Michael D. Muhlbaier, Apostolos Topalis, Robi Polikar:
Learn⁺⁺.NC: Combining Ensemble of Classifiers With Dynamically Weighted Consult-and-Vote for Efficient Incremental Learning of New Classes. IEEE Trans. Neural Networks 20(1): 152-168 (2009)
2008
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Matthew T. Karnick, Michael Muhlbaier, Robi Polikar:
Incremental learning in non-stationary environments with concept drift using a multiple classifier based approach. ICPR 2008: 1-4
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Matthew T. Karnick, Metin Ahiskali, Michael Muhlbaier, Robi Polikar:
Learning concept drift in nonstationary environments using an ensemble of classifiers based approach. IJCNN 2008: 3455-3462
2007
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Michael Muhlbaier, Robi Polikar:
An Ensemble Approach for Incremental Learning in Nonstationary Environments. MCS 2007: 490-500
2005
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Michael Muhlbaier, Apostolos Topalis, Robi Polikar:
Ensemble Confidence Estimates Posterior Probability. Multiple Classifier Systems 2005: 326-335
2004
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Michael Muhlbaier, Apostolos Topalis, Robi Polikar:
Incremental learning from unbalanced data. IJCNN 2004: 1057-1062
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Michael Muhlbaier, Apostolos Topalis, Robi Polikar:
Learn++.MT: A New Approach to Incremental Learning. Multiple Classifier Systems 2004: 52-61

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