Követés
Gregory Ditzler
Gregory Ditzler
EpiSys Science, Inc.
E-mail megerősítve itt: episci.com - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Learning in nonstationary environments: A survey
G Ditzler, M Roveri, C Alippi, R Polikar
IEEE Computational Intelligence Magazine 10 (4), 12-25, 2015
9242015
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
4542012
Hellinger distance based drift detection for nonstationary environments
G Ditzler, R Polikar
2011 IEEE symposium on computational intelligence in dynamic and uncertain …, 2011
1822011
Multi-layer and recursive neural networks for metagenomic classification
G Ditzler, R Polikar, G Rosen
IEEE transactions on nanobioscience 14 (6), 608-616, 2015
1132015
Convolutional neural networks for pavement roughness assessment using calibration‐free vehicle dynamics
JH Jeong, H Jo, G Ditzler
Computer‐Aided Civil and Infrastructure Engineering 35 (11), 1209-1229, 2020
672020
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, 2018
672018
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
652010
Fizzy: feature subset selection for metagenomics
G Ditzler, JC Morrison, Y Lan, GL Rosen
BMC bioinformatics 16, 1-8, 2015
612015
Semi-supervised learning in nonstationary environments
G Ditzler, R Polikar
The 2011 International Joint Conference on Neural Networks, 2741-2748, 2011
602011
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
592010
Descod-ecg: Deep score-based diffusion model for ecg baseline wander and noise removal
H Li, G Ditzler, J Roveda, A Li
IEEE Journal of Biomedical and Health Informatics, 2023
462023
Incremental Learning of New Classes in Unbalanced Datasets: Learn + + .UDNC
G Ditzler, MD Muhlbaier, R Polikar
Multiple Classifier Systems: 9th International Workshop, MCS 2010, Cairo …, 2010
452010
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
392017
Ovarian cancer detection using optical coherence tomography and convolutional neural networks
D Schwartz, TW Sawyer, N Thurston, J Barton, G Ditzler
Neural computing and applications 34 (11), 8977-8987, 2022
372022
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
312014
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
302017
Fraud analysis approaches in the age of big data-A review of state of the art
S Makki, R Haque, Y Taher, Z Assaghir, G Ditzler, MS Hacid, ...
2017 IEEE 2nd international workshops on foundations and applications of …, 2017
212017
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
202014
The impact of encoding–decoding schemes and weight normalization in spiking neural networks
Z Liang, D Schwartz, G Ditzler, OO Koyluoglu
Neural Networks 108, 365-378, 2018
182018
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
172013
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