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Uncertainty in Visual Generative AI

Algorithms, 2024-04, Vol.17 (4), p.136

2024

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Lean Neural Networks for Autonomous Radar Waveform Design

Sensors (Basel, Switzerland), 2022-02, Vol.22 (4), p.1317

2022

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Transfer Learning and Analogical Inference: A Critical Comparison of Algorithms, Methods, and Applications

Algorithms, 2023-03, Vol.16 (3), p.146

2023

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Big Data Analytics in Future Power Systems

1, 2019

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Feature Selection for RF Fingerprinting With Multiple Discriminant Analysis and Using ZigBee Device Emissions

IEEE transactions on information forensics and security, 2016-08, Vol.11 (8), p.1862-1874

2016

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The effectiveness of using diversity to select multiple classifier systems with varying classification thresholds

Journal of algorithms & computational technology, 2018-09, Vol.12 (3), p.187-199

2018

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Special issue – Operationally relevant methods for Big Data problems

Journal of algorithms & computational technology, 2018-12, Vol.12 (4), p.291-292

2018

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Cyber anomaly detection: Using tabulated vectors and embedded analytics for efficient data mining

Journal of algorithms & computational technology, 2018-12, Vol.12 (4), p.293-310

2018

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Simple and complex spiking neurons: perspectives and analysis in a simple STDP scenario

Neuromorphic computing and engineering, 2022-12, Vol.2 (4), p.44009

2022

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Benefits of using blended generative adversarial network images to augment classification model training data sets

Journal of defense modeling and simulation, 2023-04, p.154851292311702

2023

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Cyber-Physical Security with RF Fingerprint Classification through Distance Measure Extensions of Generalized Relevance Learning Vector Quantization

Security and communication networks, 2020, Vol.2020 (2020), p.1-12

2020

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Dimensional reduction analysis for Physical Layer device fingerprints with application to ZigBee and Z-Wave devices

MILCOM 2015 - 2015 IEEE Military Communications Conference, 2015, p.360-365

2015

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Defining, Understanding, and Addressing Big Data

International journal of business analytics, 2016-04, Vol.3 (2), p.1-32

2016

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Feature extraction and feature selection for classifying cyber traffic threats

Journal of defense modeling and simulation, 2017-07, Vol.14 (3), p.217-231

2017

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anomalyDetection: Implementation of Augmented Network Log Anomaly Detection Procedures

The R journal, 2017-12, Vol.9 (2), p.354

2017

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Statistical Analysis of High-Level Features from State of the Union Addresses

International journal of information systems and social change, 2017-04, Vol.8 (2), p.50-73

2017

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Dataset Augmentation for Robust Spiking Neural Networks

2023 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C), 2023, p.116-121

2023

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Towards the mitigation of correlation effects in anomaly detection for hyperspectral imagery

Journal of defense modeling and simulation, 2013-07, Vol.10 (3), p.263-273

2013

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A Human-factors Approach for Evaluating AI-generated Images

Proceedings of the 2024 Computers and People Research Conference, 2024, p.1-9

2024

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Principal Component Reconstruction Error for Hyperspectral Anomaly Detection

IEEE geoscience and remote sensing letters, 2015-08, Vol.12 (8), p.1725-1729

2015

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Spiking Neural Networks for event-based action recognition: A new task to understand their advantage

Neurocomputing (Amsterdam), 2025-01, Vol.611, p.128657, Article 128657

2025

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Utilization of generative AI for the characterization and identification of visual unknowns

Natural Language Processing Journal, 2024-06, Vol.7, p.100064, Article 100064

2024

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Lean Neural Networks for Real-time Embedded Spectral Notching Waveform Design

2022 IEEE 31st International Symposium on Industrial Electronics (ISIE), 2022, p.1121-1126

2022

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Symbols to represent AI systems

NAECON 2021 - IEEE National Aerospace and Electronics Conference, 2021, p.61-68

2021

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Towards a Taxonomy of Planning for Autonomous Systems

2019 IEEE National Aerospace and Electronics Conference (NAECON), 2019, p.74-79

2019

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Uncertainty in Visual Generative AI

Lean Neural Networks for Autonomous Radar Waveform Design

Transfer Learning and Analogical Inference: A Critical Comparison of Algorithms, Methods, and Applications

Big Data Analytics in Future Power Systems

Feature Selection for RF Fingerprinting With Multiple Discriminant Analysis and Using ZigBee Device Emissions

The effectiveness of using diversity to select multiple classifier systems with varying classification thresholds

Special issue – Operationally relevant methods for Big Data problems

Cyber anomaly detection: Using tabulated vectors and embedded analytics for efficient data mining

Simple and complex spiking neurons: perspectives and analysis in a simple STDP scenario

Benefits of using blended generative adversarial network images to augment classification model training data sets

Cyber-Physical Security with RF Fingerprint Classification through Distance Measure Extensions of Generalized Relevance Learning Vector Quantization

Dimensional reduction analysis for Physical Layer device fingerprints with application to ZigBee and Z-Wave devices

Defining, Understanding, and Addressing Big Data

Feature extraction and feature selection for classifying cyber traffic threats

anomalyDetection: Implementation of Augmented Network Log Anomaly Detection Procedures

Statistical Analysis of High-Level Features from State of the Union Addresses

Dataset Augmentation for Robust Spiking Neural Networks

Towards the mitigation of correlation effects in anomaly detection for hyperspectral imagery

A Human-factors Approach for Evaluating AI-generated Images

Principal Component Reconstruction Error for Hyperspectral Anomaly Detection

Spiking Neural Networks for event-based action recognition: A new task to understand their advantage

Utilization of generative AI for the characterization and identification of visual unknowns

Lean Neural Networks for Real-time Embedded Spectral Notching Waveform Design

Symbols to represent AI systems

Towards a Taxonomy of Planning for Autonomous Systems

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