| 2023 | IJCNN | Boosting Aerial Object Detection Performance via Virtual Reality Data and Multi-Object Training. | Nikolas Koutsoubis, Kyle Naddeo, Garrett Williams, George D. Lecakes, Gregory Ditzler, Nidhal C. Bouaynaya, Thomas Kiel |
| 2022 | IJCNN | Targeted Data Poisoning Attacks Against Continual Learning Neural Networks. | Huayu Li, Gregory Ditzler |
| 2021 | ACSSC | Adversarial Filters for Secure Modulation Classification. | Alex Berian, Kory Staab, Gregory Ditzler, Tamal Bose, Ravi Tandon |
| 2021 | AICCSA | Multi-Layer Mapping of Cyberspace for Intrusion Detection. | Sicong Shao, Pratik Satam, Shalaka Satam, Khalid Al-Awady, Gregory Ditzler, Salim Hariri, Cihan Tunc |
| 2021 | IJCNN | OrderNet: Sorting High Dimensional Low Sample Data with Few-Shot Learning. | Samuel Hess, Gregory Ditzler |
| 2021 | IJCNN | Bolstering Adversarial Robustness with Latent Disparity Regularization. | David M. Schwartz, Gregory Ditzler |
| 2020 | IJCNN | Detecting Adversarial Audio via Activation Quantization Error. | Heng Liu, Gregory Ditzler |
| 2020 | ISVC | A Light-Weight Monocular Depth Estimation with Edge-Guided Occlusion Fading Reduction. | Kuo-Shiuan Peng, Gregory Ditzler, Jerzy W. Rozenblit |
| 2019 | ICASSP | Data Poisoning Attacks against MRMR. | Heng Liu, Gregory Ditzler |
| 2018 | AICCSA | Malicious HTML File Prediction: A Detection and Classification Perspective with Noisy Data. | Samuel Hess, Pratik Satam, Gregory Ditzler, Salim Hariri |
| 2018 | IJCNN | Nonlinear Brain Tumor Model Estimation with Long Short-Term Memory Neural Networks. | Jiashu Guo, Zhengzhong Liang, Gregory Ditzler, Nidhal C. Bouaynaya, Elizabeth Y. Scribner, Hassan M. Fathallah-Shaykh |
| 2017 | IJCNN | A fast information-theoretic approximation of joint mutual information feature selection. | Heng Liu, Gregory Ditzler |
| 2016 | IJCNN | A study of an incremental spectral meta-learner for nonstationary environments. | Gregory Ditzler |
| 2014 | CIDM | Scaling a neyman-pearson subset selection approach via heuristics for mining massive data. | Gregory Ditzler, Matthew Austen, Gail L. Rosen, Robi Polikar |
| 2014 | IJCNN | Domain adaptation bounds for multiple expert systems under concept drift. | Gregory Ditzler, Gail L. Rosen, Robi Polikar |
| 2013 | IJCNN | Incremental learning of new classes from unbalanced data. | Gregory Ditzler, Gail Rosen, Robi Polikar |
| 2012 | ICASSP | Forensic identification with environmental samples. | Gregory Ditzler, Gail Rosen, Robi Polikar |
| 2012 | IJCNN | Transductive learning algorithms for nonstationary environments. | Gregory Ditzler, Gail L. Rosen, Robi Polikar |
| 2011 | IJCNN | Semi-supervised learning in nonstationary environments. | Gregory Ditzler, Robi Polikar |
| 2010 | CEC | Optimal nu-SVM parameter estimation using multi objective evolutionary algorithms. | James Ethridge, Gregory Ditzler, Robi Polikar |
| 2010 | ICPR | An Incremental Learning Algorithm for Non-stationary Environments and Class Imbalance. | Gregory Ditzler, Robi Polikar, Nitesh V. Chawla |
| 2010 | IJCNN | An ensemble based incremental learning framework for concept drift and class imbalance. | Gregory Ditzler, Robi Polikar |