Learning in nonstationary environments: A survey G Ditzler, M Roveri, C Alippi, R Polikar IEEE Computational Intelligence Magazine 10 (4), 12-25, 2015 | 856 | 2015 |
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 | 415 | 2012 |
Hellinger distance based drift detection for nonstationary environments G Ditzler, R Polikar 2011 IEEE symposium on computational intelligence in dynamic and uncertain …, 2011 | 161 | 2011 |
Multi-layer and recursive neural networks for metagenomic classification G Ditzler, R Polikar, G Rosen IEEE transactions on nanobioscience 14 (6), 608-616, 2015 | 100 | 2015 |
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 | 65 | 2010 |
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 | 62 | 2018 |
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 | 61 | 2020 |
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 | 61 | 2010 |
Semi-supervised learning in nonstationary environments G Ditzler, R Polikar The 2011 International Joint Conference on Neural Networks, 2741-2748, 2011 | 60 | 2011 |
Fizzy: feature subset selection for metagenomics G Ditzler, JC Morrison, Y Lan, GL Rosen BMC bioinformatics 16, 1-8, 2015 | 53 | 2015 |
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 | 43 | 2010 |
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 | 38 | 2017 |
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 | 30 | 2014 |
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 | 29 | 2017 |
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 | 22 | 2022 |
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 | 21 | 2023 |
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 | 20 | 2017 |
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 | 19 | 2014 |
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 | 17 | 2018 |
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 | 16 | 2013 |