Gregory Ditzler

J. Mach. Learn. Res., 2023

PACOL: Poisoning Attacks Against Continual Learners.

[BibT_eX]

[DOI]

Huayu Li

CoRR, 2023

Knowledge Distillation Under Ideal Joint Classifier Assumption.

[BibT_eX]

[DOI]

CoRR, 2023

Boosting Aerial Object Detection Performance via Virtual Reality Data and Multi-Object Training.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Ovarian cancer detection using optical coherence tomography and convolutional neural networks.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2022

A Maximum Log-Likelihood Method for Imbalanced Few-Shot Learning Tasks.

[BibT_eX]

[DOI]

Samuel Hess

CoRR, 2022

Shadows Aren't So Dangerous After All: A Fast and Robust Defense Against Shadow-Based Adversarial Attacks.

[BibT_eX]

[DOI]

CoRR, 2022

On Reducing Adversarial Vulnerability with Data Dependent Stochastic Resonance.

[BibT_eX]

[DOI]

David M. Schwartz

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Targeted Data Poisoning Attacks Against Continual Learning Neural Networks.

[BibT_eX]

[DOI]

Huayu Li

Proceedings of the International Joint Conference on Neural Networks, 2022

Inter-Architecture Portability of Artificial Neural Networks and Side Channel Attacks.

[BibT_eX]

[DOI]

Proceedings of the GLSVLSI '22: Great Lakes Symposium on VLSI 2022, Irvine CA USA, June 6, 2022

2021

Data poisoning against information-theoretic feature selection.

[BibT_eX]

[DOI]

Inf. Sci., 2021

Attack Transferability Against Information-Theoretic Feature Selection.

[BibT_eX]

[DOI]

Srishti Gupta

Roman Golota

IEEE Access, 2021

Intelligent Jamming of Deep Neural Network Based Signal Classification for Shared Spectrum.

[BibT_eX]

[DOI]

Wenhan Zhang

Marwan Krunz

Proceedings of the 2021 IEEE Military Communications Conference, 2021

Bolstering Adversarial Robustness with Latent Disparity Regularization.

[BibT_eX]

[DOI]

David M. Schwartz

Proceedings of the International Joint Conference on Neural Networks, 2021

OrderNet: Sorting High Dimensional Low Sample Data with Few-Shot Learning.

[BibT_eX]

[DOI]

Samuel Hess

Proceedings of the International Joint Conference on Neural Networks, 2021

Multi-Layer Mapping of Cyberspace for Intrusion Detection.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE/ACS International Conference on Computer Systems and Applications, 2021

Adversarial Filters for Secure Modulation Classification.

[BibT_eX]

[DOI]

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Adversarial Filters for Secure Modulation Classification.

[BibT_eX]

[DOI]

CoRR, 2020

Convolutional neural networks for pavement roughness assessment using calibration-free vehicle dynamics.

[BibT_eX]

[DOI]

Jong-Hyun Jeong

Hongki Jo

Comput. Aided Civ. Infrastructure Eng., 2020

Adversarial Audio Attacks that Evade Temporal Dependency.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

A Light-Weight Monocular Depth Estimation with Edge-Guided Occlusion Fading Reduction.

[BibT_eX]

[DOI]

Kuo-Shiuan Peng

Jerzy W. Rozenblit

Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020

Detecting Adversarial Audio via Activation Quantization Error.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

A Novelty Detector and Extreme Verification Latency Model for Nonstationary Environments.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., 2019

A semi-parallel framework for greedy information-theoretic feature selection.

[BibT_eX]

[DOI]

Inf. Sci., 2019

Learning what we don't care about: Anti-training with sacrificial functions.

[BibT_eX]

[DOI]

Sean Miller

Jerzy W. Rozenblit

Inf. Sci., 2019

Edge-Guided Occlusion Fading Reduction for a Light-Weighted Self-Supervised Monocular Depth Estimation.

[BibT_eX]

[DOI]

Kuo-Shiuan Peng

Jerzy W. Rozenblit

CoRR, 2019

Online Reconfigurable Antenna State Selection based on Thompson Sampling.

[BibT_eX]

[DOI]

Tianchi Zhao

Ming Li

Proceedings of the International Conference on Computing, Networking and Communications, 2019

Data Poisoning Attacks against MRMR.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

A Sequential Learning Approach for Scaling Up Filter-Based Feature Subset Selection.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Extensions to Online Feature Selection Using Bagging and Boosting.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

AKRON: An algorithm for approximating sparse kernel reconstruction.

[BibT_eX]

[DOI]

Nidhal Bouaynaya

Roman Shterenberg

Signal Process., 2018

The impact of encoding-decoding schemes and weight normalization in spiking neural networks.

[BibT_eX]

[DOI]

Neural Networks, 2018

The Impact of an Adversary in a Language Model.

[BibT_eX]

[DOI]

Zhengzhong Liang

Hassan M. Fathallah-Shaykh

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Nonlinear Brain Tumor Model Estimation with Long Short-Term Memory Neural Networks.

[BibT_eX]

[DOI]

Elizabeth Y. Scribner

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Malicious HTML File Prediction: A Detection and Classification Perspective with Noisy Data.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE/ACS International Conference on Computer Systems and Applications, 2018

2017

Speeding up joint mutual information feature selection with an optimization heuristic.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Fine tuning lasso in an adversarial environment against gradient attacks.

[BibT_eX]

[DOI]

Ashley Prater

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Fraud Analysis Approaches in the Age of Big Data - A Review of State of the Art.

[BibT_eX]

[DOI]

Proceedings of the 2nd IEEE International Workshops on Foundations and Applications of Self* Systems, 2017

High Performance Machine Learning (HPML) Framework to Support DDDAS Decision Support Systems: Design Overview.

[BibT_eX]

[DOI]

Salim Hariri

Ali Akoglu

Proceedings of the 2nd IEEE International Workshops on Foundations and Applications of Self* Systems, 2017

A fast information-theoretic approximation of joint mutual information feature selection.

[BibT_eX]

[DOI]

Fabian De La Pena Montero

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

A Self-Protection Agent Using Error Correcting Output Codes to Secure Computers and Applications.

[BibT_eX]

[DOI]

Salim Hariri

Proceedings of the 2017 International Conference on Cloud and Autonomic Computing, 2017

Fraud Data Analytics Tools and Techniques in Big Data Era.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Conference on Cloud and Autonomic Computing, 2017

Autonomic Management of 3D Cardiac Simulations.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Conference on Cloud and Autonomic Computing, 2017

The AKRON-Kalman filter for tracking time-varying networks.

[BibT_eX]

[DOI]

Victor Carluccio

Nidhal Bouaynaya

Hassan M. Fathallah-Shaykh

Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017

2016

A study of an incremental spectral meta-learner for nonstationary environments.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

A Bootstrap Based Neyman-Pearson Test for Identifying Variable Importance.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

Learning in Nonstationary Environments: A Survey.

[BibT_eX]

[DOI]

IEEE Comput. Intell. Mag., 2015

Fizzy: feature subset selection for metagenomics.

[BibT_eX]

[DOI]

BMC Bioinform., 2015

2014

Domain adaptation bounds for multiple expert systems under concept drift.

[BibT_eX]

[DOI]

Gail L. Rosen

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Scaling a neyman-pearson subset selection approach via heuristics for mining massive data.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

Feature subset selection for inferring relative importance of taxonomy.

[BibT_eX]

[DOI]

Gail L. Rosen

Proceedings of the 5th ACM Conference on Bioinformatics, 2014

2013

Incremental Learning of Concept Drift from Streaming Imbalanced Data.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2013

Incremental learning of new classes from unbalanced data.

[BibT_eX]

[DOI]

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Discounted expert weighting for concept drift.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, 2013

2012

Transductive learning algorithms for nonstationary environments.

[BibT_eX]

[DOI]

Gail L. Rosen

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Forensic identification with environmental samples.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Information theoretic feature selection for high dimensional metagenomic data.

[BibT_eX]

[DOI]

Proceedings of the Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, 2012

2011

Semi-supervised learning in nonstationary environments.

[BibT_eX]

[DOI]

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Hellinger distance based drift detection for nonstationary environments.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, 2011

2010

Incremental Learning of New Classes in Unbalanced Datasets: Learn<sup> + + </sup>.UDNC.

[BibT_eX]

[DOI]

Michael D. Muhlbaier

Proceedings of the Multiple Classifier Systems, 9th International Workshop, 2010

An ensemble based incremental learning framework for concept drift and class imbalance.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2010

An Incremental Learning Algorithm for Non-stationary Environments and Class Imbalance.

[BibT_eX]

[DOI]

Nitesh V. Chawla

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Optimal nu-SVM parameter estimation using multi objective evolutionary algorithms.

[BibT_eX]

[DOI]

James Ethridge

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Fusion methods for boosting performance of speaker identification systems.

[BibT_eX]

[DOI]

Ravi Prakash Ramachandran

James Ethridge