Michael D. Muhlbaier

Learn$^{++}$.NC: Combining Ensemble of Classifiers With Dynamically Weighted Consult-and-Vote for Efficient Incremental Learning of New Classes

Michael D. Muhlbaier, Apostolos Topalis, Robi Polikar · IEEE Transactions on Neural Networks · 2008 · 206 citations

Computing, Computer Science, Algorithms +13

Learning concept drift in nonstationary environments using an ensemble of classifiers based approach

Matthew T. Karnick, Metin Ahiskali, Michael D. Muhlbaier et al. · 2008 · 41 citations

Computing, Computer Science, Machine Learning +16

Multiple Classifiers Based Incremental Learning Algorithm for Learning in Nonstationary Environments

Michael D. Muhlbaier, Robi Polikar · 2007 · 29 citations

Computing, Computer Science, Data Science +16

Incremental learning in non-stationary environments with concept drift using a multiple classifier based approach

Matthew T. Karnick, Michael D. Muhlbaier, Robi Polikar · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · 2008 · 28 citations

Computing, Computer Science, Data Mining +14

Incremental learning from unbalanced data

Michael D. Muhlbaier, Apostolos Topalis, Robi Polikar · 2005 · 19 citations

Computing, Computer Science, Data Science +8