Gregory Ditzler
Gregory Ditzler
Verified email at email.arizona.edu - Homepage
Title
Cited by
Cited by
Year
Learning in nonstationary environments: A survey
G Ditzler, M Roveri, C Alippi, R Polikar
IEEE Computational Intelligence Magazine 10 (4), 12-25, 2015
3652015
Incremental learning of concept drift from streaming imbalanced data
G Ditzler, R Polikar
ieee transactions on knowledge and data engineering 25 (10), 2283-2301, 2012
2442012
Hellinger distance based drift detection for nonstationary environments
G Ditzler, R Polikar
2011 IEEE symposium on computational intelligence in dynamic and uncertain …, 2011
682011
An incremental learning algorithm for non-stationary environments and class imbalance
G Ditzler, R Polikar, N Chawla
2010 20th International Conference on Pattern Recognition, 2997-3000, 2010
592010
Multi-layer and recursive neural networks for metagenomic classification
G Ditzler, R Polikar, G Rosen
IEEE transactions on nanobioscience 14 (6), 608-616, 2015
552015
Semi-supervised learning in nonstationary environments
G Ditzler, R Polikar
The 2011 International Joint Conference on Neural Networks, 2741-2748, 2011
462011
An ensemble based incremental learning framework for concept drift and class imbalance
G Ditzler, R Polikar
The 2010 International Joint Conference on Neural Networks (IJCNN), 1-8, 2010
422010
Incremental learning of new classes in unbalanced datasets: Learn++. UDNC
G Ditzler, MD Muhlbaier, R Polikar
International Workshop on Multiple Classifier Systems, 33-42, 2010
352010
A bootstrap based neyman-pearson test for identifying variable importance
G Ditzler, R Polikar, G Rosen
IEEE Transactions on Neural Networks and Learning Systems 26 (4), 880-886, 2014
252014
Fizzy: feature subset selection for metagenomics
G Ditzler, JC Morrison, Y Lan, GL Rosen
BMC bioinformatics 16 (1), 358, 2015
242015
A novelty detector and extreme verification latency model for nonstationary environments
R Razavi-Far, E Hallaji, M Saif, G Ditzler
IEEE Transactions on Industrial Electronics 66 (1), 561-570, 2019
132019
A sequential learning approach for scaling up filter-based feature subset selection
G Ditzler, R Polikar, G Rosen
IEEE Transactions on Neural Networks and Learning Systems 29 (6), 2530-2544, 2017
132017
Domain adaptation bounds for multiple expert systems under concept drift
G Ditzler, G Rosen, R Polikar
2014 International Joint Conference on Neural Networks (IJCNN), 595-601, 2014
112014
Forensic identification with environmental samples
G Ditzler, G Rosen, R Polikar
2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012
102012
Information theoretic feature selection for high dimensional metagenomic data
G Ditzler, G Rosen, R Polikar
Proceedings 2012 IEEE International Workshop on Genomic Signal Processing …, 2012
92012
Transductive learning algorithms for nonstationary environments
G Ditzler, G Rosen, R Polikar
The 2012 International Joint Conference on Neural Networks (IJCNN), 1-8, 2012
92012
Incremental learning of new classes from unbalanced data
G Ditzler, G Rosen, R Polikar
The 2013 International Joint Conference on Neural Networks (IJCNN), 1-8, 2013
82013
Discounted expert weighting for concept drift
G Ditzler, G Rosen, R Polikar
2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain …, 2013
82013
Extensions to online feature selection using bagging and boosting
G Ditzler, J LaBarck, J Ritchie, G Rosen, R Polikar
IEEE transactions on neural networks and learning systems 29 (9), 4504-4509, 2017
72017
Advances in machine learning for processing and comparison of metagenomic data
JL Bouchot, WL Trimble, G Ditzler, Y Lan, S Essinger, G Rosen
Computational Systems Biology: From Molecular Mechanisms to Disease, 295-329, 2013
72013
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