Fusion methods for boosting performance of speaker identification systems. - Gregory Ditzler; James Ethridge; Ravi Prakash Ramachandran; Robi Polikar (APCCAS, 2010)

Optimal nu-SVM parameter estimation using multi objective evolutionary algorithms. - James Ethridge; Gregory Ditzler; Robi Polikar (IEEE Congress on Evolutionary Computation, 2010)

An Incremental Learning Algorithm for Non-stationary Environments and Class Imbalance. - Gregory Ditzler; Robi Polikar; Nitesh V. Chawla (ICPR, 2010)

An ensemble based incremental learning framework for concept drift and class imbalance. - Gregory Ditzler; Robi Polikar (IJCNN, 2010)

Incremental Learning of New Classes in Unbalanced Datasets: Learn + + .UDNC. - Gregory Ditzler; Michael D. Muhlbaier; Robi Polikar (MCS, 2010)

Hellinger distance based drift detection for nonstationary environments. - Gregory Ditzler; Robi Polikar (CIDUE, 2011)

Semi-supervised learning in nonstationary environments. - Gregory Ditzler; Robi Polikar (IJCNN, 2011)

Information theoretic feature selection for high dimensional metagenomic data. - Gregory Ditzler; Gail Rosen; Robi Polikar (GENSiPS, 2012)

Forensic identification with environmental samples. - Gregory Ditzler; Gail Rosen; Robi Polikar (ICASSP, 2012)

Transductive learning algorithms for nonstationary environments. - Gregory Ditzler; Gail L. Rosen; Robi Polikar (IJCNN, 2012)

Discounted expert weighting for concept drift. - Gregory Ditzler; Gail Rosen; Robi Polikar (CIDUE, 2013)

Incremental learning of new classes from unbalanced data. - Gregory Ditzler; Gail Rosen; Robi Polikar (IJCNN, 2013)

Incremental Learning of Concept Drift from Streaming Imbalanced Data. - Gregory Ditzler; Robi Polikar (IEEE Trans. Knowl. Data Eng., 2013)

Feature subset selection for inferring relative importance of taxonomy. - Gregory Ditzler; Gail L. Rosen (BCB, 2014)

Scaling a neyman-pearson subset selection approach via heuristics for mining massive data. - Gregory Ditzler; Matthew Austen; Gail L. Rosen; Robi Polikar (CIDM, 2014)

Domain adaptation bounds for multiple expert systems under concept drift. - Gregory Ditzler; Gail L. Rosen; Robi Polikar (IJCNN, 2014)

Fizzy: feature subset selection for metagenomics. - Gregory Ditzler; J. Calvin Morrison; Yemin Lan; Gail Rosen (BMC Bioinform., 2015)

Learning in Nonstationary Environments: A Survey. - Gregory Ditzler; Manuel Roveri; Cesare Alippi; Robi Polikar (IEEE Comput. Intell. Mag., 2015)

A Bootstrap Based Neyman-Pearson Test for Identifying Variable Importance. - Gregory Ditzler; Robi Polikar; Gail Rosen (IEEE Trans. Neural Networks Learn. Syst., 2015)

A study of an incremental spectral meta-learner for nonstationary environments. - Gregory Ditzler (IJCNN, 2016)

The AKRON-Kalman filter for tracking time-varying networks. - Victor Carluccio; Nidhal Bouaynaya; Gregory Ditzler; Hassan M. Fathallah-Shaykh (BHI, 2017)

Autonomic Management of 3D Cardiac Simulations. - Ehsan Esmaili; Ali Akoglu; Gregory Ditzler; Salim Hariri; Talal Moukabary; Jeno Szep (ICCAC, 2017)

Fraud Data Analytics Tools and Techniques in Big Data Era. - Sara Makki; Rafiqul Haque; Yehia Taher; Zainab Assaghir; Gregory Ditzler; Mohand-Said Hacid; Hassan Zeineddine (ICCAC, 2017)

A Self-Protection Agent Using Error Correcting Output Codes to Secure Computers and Applications. - Fabian De La Pena Montero; Salim Hariri; Gregory Ditzler (ICCAC, 2017)

A fast information-theoretic approximation of joint mutual information feature selection. - Heng Liu 004; Gregory Ditzler (IJCNN, 2017)

High Performance Machine Learning (HPML) Framework to Support DDDAS Decision Support Systems: Design Overview. - Gregory Ditzler; Salim Hariri; Ali Akoglu (FAS*W@SASO/ICCAC, 2017)

Fraud Analysis Approaches in the Age of Big Data - A Review of State of the Art. - Sara Makki; Rafiqul Haque; Yehia Taher; Zainab Assaghir; Gregory Ditzler; Mohand-Said Hacid; Hassan Zeineddine (FAS*W@SASO/ICCAC, 2017)

Fine tuning lasso in an adversarial environment against gradient attacks. - Gregory Ditzler; Ashley Prater (SSCI, 2017)

Speeding up joint mutual information feature selection with an optimization heuristic. - Heng Liu 004; Gregory Ditzler (SSCI, 2017)

Malicious HTML File Prediction: A Detection and Classification Perspective with Noisy Data. - Samuel Hess; Pratik Satam; Gregory Ditzler; Salim Hariri (AICCSA, 2018)

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 (IJCNN, 2018)

The Impact of an Adversary in a Language Model. - Zhengzhong Liang; Gregory Ditzler (SSCI, 2018)

The impact of encoding-decoding schemes and weight normalization in spiking neural networks. - Zhengzhong Liang; David M. Schwartz; Gregory Ditzler; Onur Ozan Koyluoglu (Neural Networks, 2018)

AKRON: An algorithm for approximating sparse kernel reconstruction. - Gregory Ditzler; Nidhal Bouaynaya; Roman Shterenberg (Signal Process., 2018)

Extensions to Online Feature Selection Using Bagging and Boosting. - Gregory Ditzler; Joseph LaBarck; James Ritchie; Gail Rosen; Robi Polikar (IEEE Trans. Neural Networks Learn. Syst., 2018)

A Sequential Learning Approach for Scaling Up Filter-Based Feature Subset Selection. - Gregory Ditzler; Robi Polikar; Gail Rosen (IEEE Trans. Neural Networks Learn. Syst., 2018)

Data Poisoning Attacks against MRMR. - Heng Liu 004; Gregory Ditzler (ICASSP, 2019)

Online Reconfigurable Antenna State Selection based on Thompson Sampling. - Tianchi Zhao; Ming Li 003; Gregory Ditzler (ICNC, 2019)

Edge-Guided Occlusion Fading Reduction for a Light-Weighted Self-Supervised Monocular Depth Estimation. - Kuo-Shiuan Peng; Gregory Ditzler; Jerzy W. Rozenblit (CoRR, 2019)

Learning what we don't care about: Anti-training with sacrificial functions. - Gregory Ditzler; Sean Miller; Jerzy W. Rozenblit (Inf. Sci., 2019)

A semi-parallel framework for greedy information-theoretic feature selection. - Heng Liu 004; Gregory Ditzler (Inf. Sci., 2019)

A Novelty Detector and Extreme Verification Latency Model for Nonstationary Environments. - Roozbeh Razavi-Far; Ehsan Hallaji; Mehrdad Saif; Gregory Ditzler (IEEE Trans. Ind. Electron., 2019)

Detecting Adversarial Audio via Activation Quantization Error. - Heng Liu 004; Gregory Ditzler (IJCNN, 2020)

A Light-Weight Monocular Depth Estimation with Edge-Guided Occlusion Fading Reduction. - Kuo-Shiuan Peng; Gregory Ditzler; Jerzy W. Rozenblit (ISVC (2), 2020)

Adversarial Audio Attacks that Evade Temporal Dependency. - Heng Liu 004; Gregory Ditzler (SSCI, 2020)

Convolutional neural networks for pavement roughness assessment using calibration-free vehicle dynamics. - Jong-Hyun Jeong; Hongki Jo; Gregory Ditzler (Comput. Aided Civ. Infrastructure Eng., 2020)

Adversarial Filters for Secure Modulation Classification. - Alex Berian; Kory Staab; Noel Teku; Gregory Ditzler; Tamal Bose; Ravi Tandon (CoRR, 2020)

Adversarial Filters for Secure Modulation Classification. - Alex Berian; Kory Staab; Gregory Ditzler; Tamal Bose; Ravi Tandon (ACSCC, 2021)

Multi-Layer Mapping of Cyberspace for Intrusion Detection. - Sicong Shao; Pratik Satam; Shalaka Satam; Khalid Al-Awady; Gregory Ditzler; Salim Hariri; Cihan Tunc (AICCSA, 2021)

OrderNet: Sorting High Dimensional Low Sample Data with Few-Shot Learning. - Samuel Hess; Gregory Ditzler (IJCNN, 2021)

Bolstering Adversarial Robustness with Latent Disparity Regularization. - David M. Schwartz; Gregory Ditzler (IJCNN, 2021)

Intelligent Jamming of Deep Neural Network Based Signal Classification for Shared Spectrum. - Wenhan Zhang 003; Marwan Krunz; Gregory Ditzler (MILCOM, 2021)

Attack Transferability Against Information-Theoretic Feature Selection. - Srishti Gupta 004; Roman Golota; Gregory Ditzler (IEEE Access, 2021)

Data poisoning against information-theoretic feature selection. - Heng Liu 004; Gregory Ditzler (Inf. Sci., 2021)

Inter-Architecture Portability of Artificial Neural Networks and Side Channel Attacks. - Manoj Gopale; Gregory Ditzler; Roman Lysecky; Janet Roveda (ACM Great Lakes Symposium on VLSI, 2022)

Targeted Data Poisoning Attacks Against Continual Learning Neural Networks. - Huayu Li; Gregory Ditzler (IJCNN, 2022)

On Reducing Adversarial Vulnerability with Data Dependent Stochastic Resonance. - David M. Schwartz; Gregory Ditzler (SSCI, 2022)

Shadows Aren't So Dangerous After All: A Fast and Robust Defense Against Shadow-Based Adversarial Attacks. - Andrew Wang; Wyatt Mayor; Ryan Smith; Gopal Nookula; Gregory Ditzler (CoRR, 2022)

A Maximum Log-Likelihood Method for Imbalanced Few-Shot Learning Tasks. - Samuel Hess; Gregory Ditzler (CoRR, 2022)

Ovarian cancer detection using optical coherence tomography and convolutional neural networks. - David M. Schwartz; Travis W. Sawyer; Noah Thurston; Jennifer K. Barton; Gregory Ditzler (Neural Comput. Appl., 2022)

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 (IJCNN, 2023)

Knowledge Distillation Under Ideal Joint Classifier Assumption. - Huayu Li; Xiwen Chen; Gregory Ditzler; Ping Chang; Janet Roveda; Ao Li 004 (CoRR, 2023)

PACOL: Poisoning Attacks Against Continual Learners. - Huayu Li; Gregory Ditzler (CoRR, 2023)

ProtoShotXAI: Using Prototypical Few-Shot Architecture for Explainable AI. - Samuel Hess; Gregory Ditzler (J. Mach. Learn. Res., 2023)

Knowledge distillation under ideal joint classifier assumption. - Huayu Li; Xiwen Chen; Gregory Ditzler; Janet Roveda; Ao Li 004 (Neural Networks, 2024)

DeScoD-ECG: Deep Score-Based Diffusion Model for ECG Baseline Wander and Noise Removal. - Huayu Li; Gregory Ditzler; Janet Roveda; Ao Li 004 (IEEE J. Biomed. Health Informatics, 2024)