Gregory Ditzler

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 47

Top Topics

Depth Estimation

Feature Selection

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Huayu Li, Xiwen Chen, Gregory Ditzler, Janet Roveda, Ao Li
Knowledge distillation under ideal joint classifier assumption. Neural Networks 173 (2024)
Huayu Li, Xiwen Chen, Gregory Ditzler, Ping Chang, Janet Roveda, Ao Li
Knowledge Distillation Under Ideal Joint Classifier Assumption. CoRR (2023)
Nikolas Koutsoubis, Kyle Naddeo, Garrett Williams, George D. Lecakes, Gregory Ditzler, Nidhal C. Bouaynaya, Thomas Kiel
Boosting Aerial Object Detection Performance via Virtual Reality Data and Multi-Object Training. IJCNN (2023)
Huayu Li, Gregory Ditzler
PACOL: Poisoning Attacks Against Continual Learners. CoRR (2023)
Andrew Wang, Wyatt Mayor, Ryan Smith, Gopal Nookula, Gregory Ditzler
Shadows Aren't So Dangerous After All: A Fast and Robust Defense Against Shadow-Based Adversarial Attacks. CoRR (2022)
Samuel Hess, Gregory Ditzler
A Maximum Log-Likelihood Method for Imbalanced Few-Shot Learning Tasks. CoRR (2022)
Huayu Li, Gregory Ditzler, Janet Roveda, Ao Li
DeScoD-ECG: Deep Score-Based Diffusion Model for ECG Baseline Wander and Noise Removal. CoRR (2022)
David M. Schwartz, Travis W. Sawyer, Noah Thurston, Jennifer Barton, Gregory Ditzler
Ovarian cancer detection using optical coherence tomography and convolutional neural networks. Neural Comput. Appl. 34 (11) (2022)
David M. Schwartz, Gregory Ditzler
On Reducing Adversarial Vulnerability with Data Dependent Stochastic Resonance. SSCI (2022)
Manoj Gopale, Gregory Ditzler, Roman Lysecky, Janet Roveda
Inter-Architecture Portability of Artificial Neural Networks and Side Channel Attacks. ACM Great Lakes Symposium on VLSI (2022)
Huayu Li, Gregory Ditzler
Targeted Data Poisoning Attacks Against Continual Learning Neural Networks. IJCNN (2022)
David M. Schwartz, Gregory Ditzler
Bolstering Adversarial Robustness with Latent Disparity Regularization. IJCNN (2021)
Sicong Shao, Pratik Satam, Shalaka Satam, Khalid Al-Awady, Gregory Ditzler, Salim Hariri, Cihan Tunc
Multi-Layer Mapping of Cyberspace for Intrusion Detection. AICCSA (2021)
Wenhan Zhang, Marwan Krunz, Gregory Ditzler
Intelligent Jamming of Deep Neural Network Based Signal Classification for Shared Spectrum. MILCOM (2021)
Heng Liu, Gregory Ditzler
Data poisoning against information-theoretic feature selection. Inf. Sci. 573 (2021)
Alex Berian, Kory Staab, Gregory Ditzler, Tamal Bose, Ravi Tandon
Adversarial Filters for Secure Modulation Classification. ACSCC (2021)
Samuel Hess, Gregory Ditzler
ProtoShotXAI: Using Prototypical Few-Shot Architecture for Explainable AI. CoRR (2021)
Samuel Hess, Gregory Ditzler
OrderNet: Sorting High Dimensional Low Sample Data with Few-Shot Learning. IJCNN (2021)
Srishti Gupta, Roman Golota, Gregory Ditzler
Attack Transferability Against Information-Theoretic Feature Selection. IEEE Access 9 (2021)
Heng Liu, Gregory Ditzler
Adversarial Audio Attacks that Evade Temporal Dependency. SSCI (2020)
Heng Liu, Gregory Ditzler
Detecting Adversarial Audio via Activation Quantization Error. IJCNN (2020)
Alex Berian, Kory Staab, Noel Teku, Gregory Ditzler, Tamal Bose, Ravi Tandon
Adversarial Filters for Secure Modulation Classification. CoRR (2020)
Kuo-Shiuan Peng, Gregory Ditzler, Jerzy W. Rozenblit
A Light-Weight Monocular Depth Estimation with Edge-Guided Occlusion Fading Reduction. ISVC (2) (2020)
Jong-Hyun Jeong, Hongki Jo, Gregory Ditzler
Convolutional neural networks for pavement roughness assessment using calibration-free vehicle dynamics. Comput. Aided Civ. Infrastructure Eng. 35 (11) (2020)
Heng Liu, Gregory Ditzler
Data Poisoning Attacks against MRMR. ICASSP (2019)
Tianchi Zhao, Ming Li, Gregory Ditzler
Online Reconfigurable Antenna State Selection based on Thompson Sampling. ICNC (2019)
Kuo-Shiuan Peng, Gregory Ditzler, Jerzy W. Rozenblit
Edge-Guided Occlusion Fading Reduction for a Light-Weighted Self-Supervised Monocular Depth Estimation. CoRR (2019)
Heng Liu, Gregory Ditzler
A semi-parallel framework for greedy information-theoretic feature selection. Inf. Sci. 492 (2019)
Roozbeh Razavi-Far, Ehsan Hallaji, Mehrdad Saif, Gregory Ditzler
A Novelty Detector and Extreme Verification Latency Model for Nonstationary Environments. IEEE Trans. Ind. Electron. 66 (1) (2019)
Gregory Ditzler, Sean Miller, Jerzy W. Rozenblit
Learning what we don't care about: Anti-training with sacrificial functions. Inf. Sci. 496 (2019)
Samuel Hess, Pratik Satam, Gregory Ditzler, Salim Hariri
Malicious HTML File Prediction: A Detection and Classification Perspective with Noisy Data. AICCSA (2018)
Gregory Ditzler, Nidhal Bouaynaya, Roman Shterenberg
AKRON: An algorithm for approximating sparse kernel reconstruction. Signal Process. 144 (2018)
Jiashu Guo, Zhengzhong Liang, Gregory Ditzler, Nidhal C. Bouaynaya, Elizabeth Y. Scribner, Hassan M. Fathallah-Shaykh
Nonlinear Brain Tumor Model Estimation with Long Short-Term Memory Neural Networks. IJCNN (2018)
Zhengzhong Liang, Gregory Ditzler
The Impact of an Adversary in a Language Model. SSCI (2018)
Gregory Ditzler, Robi Polikar, Gail Rosen
A Sequential Learning Approach for Scaling Up Filter-Based Feature Subset Selection. IEEE Trans. Neural Networks Learn. Syst. 29 (6) (2018)
Gregory Ditzler, Joseph LaBarck, James Ritchie, Gail Rosen, Robi Polikar
Extensions to Online Feature Selection Using Bagging and Boosting. IEEE Trans. Neural Networks Learn. Syst. 29 (9) (2018)
Zhengzhong Liang, David M. Schwartz, Gregory Ditzler, Onur Ozan Koyluoglu
The impact of encoding-decoding schemes and weight normalization in spiking neural networks. Neural Networks 108 (2018)
Heng Liu, Gregory Ditzler
A fast information-theoretic approximation of joint mutual information feature selection. IJCNN (2017)
Gregory Ditzler, Ashley Prater
Fine tuning lasso in an adversarial environment against gradient attacks. SSCI (2017)
Sara Makki, Rafiqul Haque, Yehia Taher, Zainab Assaghir, Gregory Ditzler, Mohand-Said Hacid, Hassan Zeineddine
Fraud Analysis Approaches in the Age of Big Data - A Review of State of the Art. FAS*W@SASO/ICCAC (2017)
Fabian De La Pena Montero, Salim Hariri, Gregory Ditzler
A Self-Protection Agent Using Error Correcting Output Codes to Secure Computers and Applications. ICCAC (2017)
Ehsan Esmaili, Ali Akoglu, Gregory Ditzler, Salim Hariri, Talal Moukabary, Jeno Szep
Autonomic Management of 3D Cardiac Simulations. ICCAC (2017)
Heng Liu, Gregory Ditzler
Speeding up joint mutual information feature selection with an optimization heuristic. SSCI (2017)
Victor Carluccio, Nidhal Bouaynaya, Gregory Ditzler, Hassan M. Fathallah-Shaykh
The AKRON-Kalman filter for tracking time-varying networks. BHI (2017)
Sara Makki, Rafiqul Haque, Yehia Taher, Zainab Assaghir, Gregory Ditzler, Mohand-Said Hacid, Hassan Zeineddine
Fraud Data Analytics Tools and Techniques in Big Data Era. ICCAC (2017)
Gregory Ditzler, Salim Hariri, Ali Akoglu
High Performance Machine Learning (HPML) Framework to Support DDDAS Decision Support Systems: Design Overview. FAS*W@SASO/ICCAC (2017)
Gregory Ditzler
A study of an incremental spectral meta-learner for nonstationary environments. IJCNN (2016)
Gregory Ditzler, Manuel Roveri, Cesare Alippi, Robi Polikar
Learning in Nonstationary Environments: A Survey. IEEE Comput. Intell. Mag. 10 (4) (2015)
Gregory Ditzler, Robi Polikar, Gail Rosen
A Bootstrap Based Neyman-Pearson Test for Identifying Variable Importance. IEEE Trans. Neural Networks Learn. Syst. 26 (4) (2015)
Gregory Ditzler, J. Calvin Morrison, Yemin Lan, Gail Rosen
Fizzy: feature subset selection for metagenomics. BMC Bioinform. 16 (2015)
Gregory Ditzler, Gail L. Rosen, Robi Polikar
Domain adaptation bounds for multiple expert systems under concept drift. IJCNN (2014)
Gregory Ditzler, Gail L. Rosen
Feature subset selection for inferring relative importance of taxonomy. BCB (2014)
Gregory Ditzler, Matthew Austen, Gail L. Rosen, Robi Polikar
Scaling a neyman-pearson subset selection approach via heuristics for mining massive data. CIDM (2014)
Gregory Ditzler, Gail Rosen, Robi Polikar
Incremental learning of new classes from unbalanced data. IJCNN (2013)
Gregory Ditzler, Gail Rosen, Robi Polikar
Discounted expert weighting for concept drift. CIDUE (2013)
Gregory Ditzler, Robi Polikar
Incremental Learning of Concept Drift from Streaming Imbalanced Data. IEEE Trans. Knowl. Data Eng. 25 (10) (2013)
Gregory Ditzler, Gail Rosen, Robi Polikar
Information theoretic feature selection for high dimensional metagenomic data. GENSiPS (2012)
Gregory Ditzler, Gail L. Rosen, Robi Polikar
Transductive learning algorithms for nonstationary environments. IJCNN (2012)
Gregory Ditzler, Gail Rosen, Robi Polikar
Forensic identification with environmental samples. ICASSP (2012)
Gregory Ditzler, Robi Polikar
Hellinger distance based drift detection for nonstationary environments. CIDUE (2011)
Gregory Ditzler, Robi Polikar
Semi-supervised learning in nonstationary environments. IJCNN (2011)
Gregory Ditzler, Robi Polikar, Nitesh V. Chawla
An Incremental Learning Algorithm for Non-stationary Environments and Class Imbalance. ICPR (2010)
Gregory Ditzler, James Ethridge, Ravi Prakash Ramachandran, Robi Polikar
Fusion methods for boosting performance of speaker identification systems. APCCAS (2010)
Gregory Ditzler, Robi Polikar
An ensemble based incremental learning framework for concept drift and class imbalance. IJCNN (2010)
James Ethridge, Gregory Ditzler, Robi Polikar
Optimal nu-SVM parameter estimation using multi objective evolutionary algorithms. IEEE Congress on Evolutionary Computation (2010)
Gregory Ditzler, Michael D. Muhlbaier, Robi Polikar
.UDNC. MCS (2010)