Gregory Ditzler

68 papers B 15C 3Misc 3Journal 26Unranked 21

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