Nathaniel D. Bastian

Frederic Sala

CoRR, May, 2026

A Red Teaming Framework for Evaluating Robustness of AI-enabled Security Orchestration, Automation, and Response Systems.

[BibT_eX]

[DOI]

Ayan Javeed Shaikh

CoRR, May, 2026

Interactive Critique-Revision Training for Reliable Structured LLM Generation.

[BibT_eX]

[DOI]

CoRR, May, 2026

From Actions to Understanding: Conformal Interpretability of Temporal Concepts in LLM Agents.

[BibT_eX]

[DOI]

Anirban Roy

CoRR, April, 2026

Hessian-Enhanced Token Attribution (HETA): Interpreting Autoregressive LLMs.

[BibT_eX]

[DOI]

CoRR, April, 2026

ShieldNet: Network-Level Guardrails against Emerging Supply-Chain Injections in Agentic Systems.

[BibT_eX]

[DOI]

CoRR, April, 2026

SCoOP: Semantic Consistent Opinion Pooling for Uncertainty Quantification in Multiple Vision-Language Model Systems.

[BibT_eX]

[DOI]

Chung-En Johnny Yu

Brian Jalaian

CoRR, March, 2026

HIPO: Instruction Hierarchy via Constrained Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, March, 2026

<i>n</i>-Musketeers: Reinforcement Learning Shapes Collaboration Among Language Models.

[BibT_eX]

[DOI]

CoRR, February, 2026

ACDZero: MCTS Agent for Mastering Automated Cyber Defense.

[BibT_eX]

[DOI]

CoRR, January, 2026

Optimal hyperdimensional representation for learning and cognitive computation.

[BibT_eX]

[DOI]

Prathyush Poduval

Hamza Errahmouni Barkam

Frontiers Artif. Intell., 2026

ENCORE: A Neural Collapse Perspective on Out-of-Distribution Detection in Deep Neural Networks.

[BibT_eX]

[DOI]

A. Q. M. Sazzad Sayyed

Francesco Restuccia

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

CLUE: Bringing Machine Unlearning to Mobile Devices.

[BibT_eX]

[DOI]

A. Q. M. Sazzad Sayyed

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

LogHD: Robust Compression of Hyperdimensional Classifiers via Logarithmic Class-Axis Reduction.

[BibT_eX]

[DOI]

Proceedings of the Design, Automation & Test in Europe Conference, 2026

Consistency-based Abductive Reasoning over Perceptual Errors of Multiple Pre-trained Models in Novel Environments.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

SDE-HARL: Scalable Distributed Policy Execution for Heterogeneous-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Regression and Time Series Mixture Approaches to Predict System Performance and Assess Resilience.

[BibT_eX]

[DOI]

IEEE Trans. Reliab., September, 2025

Agentic Reasoning for Robust Vision Systems via Increased Test-Time Compute.

[BibT_eX]

[DOI]

Chung-En Yu

Brian Jalaian

CoRR, September, 2025

ORCA: Agentic Reasoning For Hallucination and Adversarial Robustness in Vision-Language Models.

[BibT_eX]

[DOI]

CoRR, September, 2025

Optimizing Prompt Sequences using Monte Carlo Tree Search for LLM-Based Optimization.

[BibT_eX]

[DOI]

CoRR, August, 2025

Prmpt2Adpt: Prompt-Based Zero-Shot Domain Adaptation for Resource-Constrained Environments.

[BibT_eX]

[DOI]

CoRR, June, 2025

Neurosymbolic Artificial Intelligence for Robust Network Intrusion Detection: From Scratch to Transfer Learning.

[BibT_eX]

[DOI]

CoRR, June, 2025

Deep PackGen: A Deep Reinforcement Learning Framework for Adversarial Network Packet Generation.

[BibT_eX]

[DOI]

ACM Trans. Priv. Secur., May, 2025

Consistency-based Abductive Reasoning over Perceptual Errors of Multiple Pre-trained Models in Novel Environments.

[BibT_eX]

[DOI]

CoRR, May, 2025

Adaptive Pruning of Deep Neural Networks for Resource-Aware Embedded Intrusion Detection on the Edge.

[BibT_eX]

[DOI]

CoRR, May, 2025

VLC Fusion: Vision-Language Conditioned Sensor Fusion for Robust Object Detection.

[BibT_eX]

[DOI]

CoRR, May, 2025

A Few Large Shifts: Layer-Inconsistency Based Minimal Overhead Adversarial Example Detection.

[BibT_eX]

[DOI]

CoRR, May, 2025

Calibrating Uncertainty Quantification of Multi-Modal LLMs using Grounding.

[BibT_eX]

[DOI]

CoRR, May, 2025

Hydra: An Agentic Reasoning Approach for Enhancing Adversarial Robustness and Mitigating Hallucinations in Vision-Language Models.

[BibT_eX]

[DOI]

CoRR, April, 2025

Towards Real-Time Network Intrusion Detection With Image-Based Sequential Packets Representation.

[BibT_eX]

[DOI]

Jalal Ghadermazi

IEEE Trans. Big Data, February, 2025

Multiple Distribution Shift - Aerial (MDS-A): A Dataset for Test-Time Error Detection and Model Adaptation.

[BibT_eX]

[DOI]

CoRR, February, 2025

Deceptive Sequential Decision-Making via Regularized Policy Optimization.

[BibT_eX]

[DOI]

Abhishek Ninad Kulkarni

Pahavalan Rajkumardheivanayahi

Ufuk Topcu

Matthew Hale

CoRR, January, 2025

SAFE-NID: Self-Attention with Normalizing-Flow Encodings for Network Intrusion Detection.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2025

GTAE-IDS: Graph Transformer-Based Autoencoder Framework for Real-Time Network Intrusion Detection.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2025

Cognitive map formation under uncertainty via local prediction learning.

[BibT_eX]

[DOI]

Intell. Syst. Appl., 2025

Neurosymbolic AI for network intrusion detection systems: A survey.

[BibT_eX]

[DOI]

J. Inf. Secur. Appl., 2025

Lipschitz-based robustness estimation for hyperdimensional learning.

[BibT_eX]

[DOI]

Calvin Yeung

Hamza Errahmouni Barkam

Frontiers Artif. Intell., 2025

PACKETCLIP: multi-modal embedding of network traffic and language for cybersecurity reasoning.

[BibT_eX]

[DOI]

Frontiers Artif. Intell., 2025

XG-NID: Dual-modality network intrusion detection using a heterogeneous graph neural network and large language model.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2025

Data-efficient Federated Learning for Edge Network Intrusion Detection.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2025

FedNIDS: A Federated Learning Framework for Packet-Based Network Intrusion Detection System.

[BibT_eX]

[DOI]

Digit. Threat. Res. Pract., 2025

Explainability of Network Intrusion Detection Using Transformers: A Packet-Level Approach.

[BibT_eX]

[DOI]

IEEE Access, 2025

TriageHD: A Hyper-Dimensional Learning-to-Rank Framework for Dynamic Micro-Segmentation in Zero-Trust Network Security.

[BibT_eX]

[DOI]

IEEE Access, 2025

Ensemble-Based Uncertainty Quantification for Reliable Large Language Model Classification in Social Data Applications.

[BibT_eX]

[DOI]

IEEE Access, 2025

Zero-Shot Detection of Out-of-Context Objects Using Foundation Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

VLTP: Vision-Language Guided Token Pruning for Task-Oriented Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Adapting Under Fire: Multi-Agent Reinforcement Learning for Adversarial Drift in Network Security.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Security and Cryptography, 2025

NI-Diff: Zero-Day and Adversarial Network Intrusion Detection with Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE Military Communications Conference, 2025

Neurosymbolic AI Transfer Learning Improves Network Intrusion Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE Military Communications Conference, 2025

A Repair-Time Trigger for Cyberattack Classifiers.

[BibT_eX]

[DOI]

Proceedings of the IEEE Military Communications Conference, 2025

An Automated, Scalable Machine Learning Model Inversion Assessment Pipeline.

[BibT_eX]

[DOI]

Proceedings of the IEEE Military Communications Conference, 2025

Resilient Wireless Communications with Selective Deep Neural Network Classification.

[BibT_eX]

[DOI]

A. Q. M. Sazzad Sayyed

Proceedings of the IEEE Military Communications Conference, 2025

Attack Behavior Observations and Profiling Through Varying Cyber Deception Mechanisms.

[BibT_eX]

[DOI]

Eric Noah Savage

Ruolin Zhou

Proceedings of the IEEE Military Communications Conference, 2025

Decision Trees Mapped to Memristive Hardware for Network Intrusion Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE Military Communications Conference, 2025

TAP-GAN+: A Topological Adversarial Pipeline for Inference-Time Detection in Machine Learning.

[BibT_eX]

[DOI]

Galamo F. Monkam

Jie Yan

Proceedings of the IEEE Military Communications Conference, 2025

Machine Learning-Driven Angle of Arrival Estimation for a Moving Signal Source.

[BibT_eX]

[DOI]

Proceedings of the IEEE Military Communications Conference, 2025

Agentic AI for Cyber Defense: LLM-Guided Hierarchical Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Military Communications Conference, 2025

Multi-Agent Cyber Defense with Multi-Level Zero-Trust Actions.

[BibT_eX]

[DOI]

Mahdi Imani

Tian Lan

Proceedings of the IEEE Military Communications Conference, 2025

Chiplet-based Implementation of Decision Trees for Network Intrusion Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE Military Communications Conference, 2025

Replay or Regret: Evaluating Continual Learning Methods for Robust Intrusion Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE Military Communications Conference, 2025

Multi-Agent Deep Reinforcement Learning for Cyber Conflict Simulation and Experimentation.

[BibT_eX]

[DOI]

Matthew L. Corbett

Jared M. Murphy

Proceedings of the IEEE Military Communications Conference, 2025

Scaling Through Pruning for Resource-Aware Embedded Intrusion Detection on the Edge.

[BibT_eX]

[DOI]

Proceedings of the IEEE Military Communications Conference, 2025

Hybrid Modeling of Heterogeneous Human Teams for Collaborative Decision Processes.

[BibT_eX]

[DOI]

Amirhossein Ravari

Seyede Fatemeh Ghoreishi

Tian Lan

Mahdi Imani

Proceedings of the 7th Annual Learning for Dynamics & Control Conference, 2025

LAMPS: Learning-based Mobility Planning via Posterior State Inference using Gaussian Cox Process Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE INFOCOM 2025, 2025

TOGA: Temporally Grounded Open-Ended Video QA with Weak Supervision.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Towards Attribution in Network Attacks: A Deep Learning-Based Robust Framework for Intrusion Detection and Adversarial Toolchain Identification.

[BibT_eX]

[DOI]

Ahtesham Bakht

Proceedings of the 58th Hawaii International Conference on System Sciences, 2025

A Moving Source Angle-of-Arrival Estimation in Real-Time Using Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Dynamic Spectrum Access Networks, 2025

Continuous GNN-Based Anomaly Detection on Edge Using Efficient Adaptive Knowledge Graph Learning.

[BibT_eX]

[DOI]

Sanggeon Yun

Ryozo Masukawa

William Youngwoo Chung

Minhyoung Na

Mohsen Imani

Proceedings of the Design, Automation & Test in Europe Conference, 2025

Adversarial Decoy Placement for Strategic State Perturbations in Artificial Intelligence Driven Defense.

[BibT_eX]

[DOI]

Armita Kazeminajafabadi

Proceedings of the 64th IEEE Conference on Decision and Control, 2025

Universal Adversarial Perturbations for Two-Stage Black-Box Object Detectors.

[BibT_eX]

[DOI]

Proceedings of the 59th Asilomar Conference on Signals, 2025

Probabilistic Foundations for Metacognition via Hybrid-AI.

[BibT_eX]

[DOI]

Paulo Shakarian

Gerardo I. Simari

Stephanie Elisabeth Galaitsi

Proceedings of the 2025 AAAI Spring Symposium Series, 2025

Multiple Distribution Shift - Aerial (MDS-A): A Dataset for Test-Time Error Detection and Model Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 2025 AAAI Spring Symposium Series, 2025

2024

Constrained optimization based adversarial example generation for transfer attacks in network intrusion detection systems.

[BibT_eX]

[DOI]

Optim. Lett., December, 2024

A Hypergraph-Based Machine Learning Ensemble Network Intrusion Detection System.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., November, 2024

Unified Multimodal Network Intrusion Detection Systems Dataset.

[BibT_eX]

[DOI]

Dataset, October, 2024

Multi-Memristor Based Distributed Decision Tree Circuit for Cybersecurity Applications.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. I Regul. Pap., August, 2024

Human Intuition and Algorithmic Efficiency Must Be Balanced to Enhance Data Mesh Resilience.

[BibT_eX]

[DOI]

Andrew Strelzoff

Benjamin D. Trump

Christopher L. Cummings

Madison Smith

Commun. ACM, May, 2024

ACI IoT Network Traffic Dataset 2023.

[BibT_eX]

[DOI]

Dataset, April, 2024

Addressing Uncertainty in LLMs to Enhance Reliability in Generative AI.

[BibT_eX]

[DOI]

John A. Pavlik

CoRR, 2024

A Synergistic Approach In Network Intrusion Detection By Neurosymbolic AI.

[BibT_eX]

[DOI]

CoRR, 2024

TrojFM: Resource-efficient Backdoor Attacks against Very Large Foundation Models.

[BibT_eX]

[DOI]

CoRR, 2024

A topological data analysis approach for detecting data poisoning attacks against machine learning based network intrusion detection systems.

[BibT_eX]

[DOI]

Galamo Monkam

Michael J. De Lucia

Comput. Secur., 2024

A sequential deep learning framework for a robust and resilient network intrusion detection system.

[BibT_eX]

[DOI]

Comput. Secur., 2024

AIS-NIDS: An intelligent and self-sustaining network intrusion detection system.

[BibT_eX]

[DOI]

Comput. Secur., 2024

Offline Reinforcement Learning for Autonomous Cyber Defense Agents.

[BibT_eX]

[DOI]

Proceedings of the Winter Simulation Conference, 2024

Seeing the Whole Elephant - A Comprehensive Framework for Data Education.

[BibT_eX]

[DOI]

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Uncertainty-Quantified Neurosymbolic AI for Open Set Recognition in Network Intrusion Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE Military Communications Conference, 2024

Co-Design of Decision Trees for Network Intrusion Detection at the Edge on Digital vs. Analog Hardware.

[BibT_eX]

[DOI]

Proceedings of the IEEE Military Communications Conference, 2024

ACI-IoT-2023: A Robust Dataset for Internet of Things Network Security Analysis.

[BibT_eX]

[DOI]

Emily A. Nack

Morgan C. McKenzie

Proceedings of the IEEE Military Communications Conference, 2024

Model Poisoning Detection via Forensic Analysis.

[BibT_eX]

[DOI]

Galamo F. Monkam

Proceedings of the IEEE Military Communications Conference, 2024

Defining and Measuring Deception in Sequential Decision Systems: Application to Network Defense.

[BibT_eX]

[DOI]

Abhishek Ninad Kulkarni

Ufuk Topcu

Matthew Hale

Proceedings of the IEEE Military Communications Conference, 2024

Post-hoc Uncertainty Quantification for Neurosymbolic Artificial Intelligence.

[BibT_eX]

[DOI]

Proceedings of the IEEE Military Communications Conference, 2024

varMax: Towards Confidence-Based Zero-Day Attack Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE Military Communications Conference, 2024

Predicting F1-Scores of Classifiers in Network Intrusion Detection Systems.

[BibT_eX]

[DOI]

Proceedings of the 33rd International Conference on Computer Communications and Networks, 2024

A Neuro-Symbolic Artificial Intelligence Network Intrusion Detection System.

[BibT_eX]

[DOI]

Proceedings of the 33rd International Conference on Computer Communications and Networks, 2024

Neuro-Symbolic Integration for Open Set Recognition in Network Intrusion Detection.

[BibT_eX]

[DOI]

Proceedings of the AIxIA 2024 - Advances in Artificial Intelligence, 2024

Adversarial Inverse Learning of Defense Policies Conditioned on Human Factor Models.

[BibT_eX]

[DOI]

Proceedings of the 58th Asilomar Conference on Signals, 2024

2023

SeNet-I: An approach for detecting network intrusions through serialized network traffic images.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., November, 2023

Deep VULMAN: A deep reinforcement learning-enabled cyber vulnerability management framework.

[BibT_eX]

[DOI]

Soumyadeep Hore

Expert Syst. Appl., July, 2023

Transfer learning for raw network traffic detection.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2023

Real-time Network Intrusion Detection via Decision Transformers.

[BibT_eX]

[DOI]

CoRR, 2023

Neuro Symbolic Reasoning for Planning: Counterexample Guided Inductive Synthesis using Large Language Models and Satisfiability Solving.

[BibT_eX]

[DOI]

CoRR, 2023

Analysis of Media Writing Style Bias through Text-Embedding Networks.

[BibT_eX]

[DOI]

Iain J. Cruickshank

Jessica Zhu

CoRR, 2023

Measuring Classification Decision Certainty and Doubt.

[BibT_eX]

[DOI]

CoRR, 2023

Uncertainty-Quantified, Robust Deep Learning for Network Intrusion Detection.

[BibT_eX]

[DOI]

Joshua A. Wong

David A. Bierbrauer

Proceedings of the Winter Simulation Conference, 2023

Performance Analysis of Deep-Learning Based Open Set Recognition Algorithms for Network Intrusion Detection Systems.

[BibT_eX]

[DOI]

Proceedings of the NOMS 2023, 2023

Challenges and Opportunities in Neuro-Symbolic Composition of Foundation Models.

[BibT_eX]

[DOI]

Anirban Roy

Adam D. Cobb

Proceedings of the IEEE Military Communications Conference, 2023

Counterexample Guided Inductive Synthesis Using Large Language Models and Satisfiability Solving.

[BibT_eX]

[DOI]

Proceedings of the IEEE Military Communications Conference, 2023

Neurosymbolic AI in Cybersecurity: Bridging Pattern Recognition and Symbolic Reasoning.

[BibT_eX]

[DOI]

Brian Jalaian

Proceedings of the IEEE Military Communications Conference, 2023

Detecting Unknown Attacks in IoT Environments: An Open Set Classifier for Enhanced Network Intrusion Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE Military Communications Conference, 2023

Explainable Learning-Based Intrusion Detection Supported by Memristors.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Artificial Intelligence, 2023

Dehallucinating Large Language Models Using Formal Methods Guided Iterative Prompting.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Assured Autonomy, 2023

Novelty Detection in Network Traffic: Using Survival Analysis for Feature Identification.

[BibT_eX]

[DOI]

Taylor Bradley

Elie Alhajjar

Proceedings of the IEEE International Conference on Assured Autonomy, 2023

Preprocessing Network Traffic using Topological Data Analysis for Data Poisoning Detection.

[BibT_eX]

[DOI]

Galamo Monkam

Michael J. De Lucia

Proceedings of the IEEE Conference on Dependable and Secure Computing, 2023

Towards Robust Learning using Diametrical Risk Minimization for Network Intrusion Detection.

[BibT_eX]

[DOI]

Kelson J. McCollum

Johannes O. Royset

Proceedings of the IEEE Conference on Dependable and Secure Computing, 2023

Empirical Evaluation of Autoencoder Models for Anomaly Detection in Packet-based NIDS.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Dependable and Secure Computing, 2023

RIDE: Real-time Intrusion Detection via Explainable Machine Learning Implemented in a Memristor Hardware Architecture.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Dependable and Secure Computing, 2023

2022

A ranked solution for social media fact checking using epidemic spread modeling.

[BibT_eX]

[DOI]

John H. Smith

Inf. Sci., 2022

Generating realistic cyber data for training and evaluating machine learning classifiers for network intrusion detection systems.

[BibT_eX]

[DOI]

Marc Chalé

Expert Syst. Appl., 2022

Off-Policy Evaluation for Action-Dependent Non-stationary Environments.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Context-aware Collaborative Neuro-Symbolic Inference in IoBTs.

[BibT_eX]

[DOI]

Venugopal V. Veeravalli

Proceedings of the IEEE Military Communications Conference, 2022

Payload-Byte: A Tool for Extracting and Labeling Packet Capture Files of Modern Network Intrusion Detection Datasets.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ACM International Conference on Big Data Computing, 2022

2021

Adversarial machine learning in Network Intrusion Detection Systems.

[BibT_eX]

[DOI]

Elie Alhajjar

Paul Maxwell

Expert Syst. Appl., 2021

Anomaly Detection in Cybersecurity: Unsupervised, Graph-Based and Supervised Learning Methods in Adversarial Environments.

[BibT_eX]

[DOI]

CoRR, 2021

Robust Decision-Making in the Internet of Battlefield Things Using Bayesian Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Winter Simulation Conference, 2021

CHALLENGES AND OPPORTUNITIES FOR GENERATIVE METHODS IN THE CYBER DOMAIN.

[BibT_eX]

[DOI]

Marc Chalé

Proceedings of the Winter Simulation Conference, 2021

A Sensitivity Analysis of Poisoning and Evasion Attacks in Network Intrusion Detection System Machine Learning Models.

[BibT_eX]

[DOI]

Kevin Talty

John Stockdale

Proceedings of the 2021 IEEE Military Communications Conference, 2021

An Adversarial Training Based Machine Learning Approach to Malware Classification under Adversarial Conditions.

[BibT_eX]

[DOI]

Sean M. Devine

Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

Evaluating Model Robustness to Adversarial Samples in Network Intrusion Detection.

[BibT_eX]

[DOI]

Madeleine Schneider

David Aspinall

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

The spatially conscious machine learning model.

[BibT_eX]

[DOI]

Timothy J. Kiely

Stat. Anal. Data Min., 2020

Advancing the Research and Development of Assured Artificial Intelligence and Machine Learning Capabilities.

[BibT_eX]

[DOI]

CoRR, 2020

Stacked Generalizations in Imbalanced Fraud Data Sets using Resampling Methods.

[BibT_eX]

[DOI]

Kathleen Kerwin

CoRR, 2020

Algorithm selection framework for cyber attack detection.

[BibT_eX]

[DOI]

Marc Chalé

Jeffery Weir

Proceedings of the 2nd ACM Workshop on Wireless Security and Machine Learning, 2020

2019

Intelligent Systems Design for Malware Classification Under Adversarial Conditions.

[BibT_eX]

[DOI]

Sean M. Devine

CoRR, 2019

Simulation for Cyber Risk Management - Where are we, and Where do we Want to Go?

[BibT_eX]

[DOI]

Proceedings of the 2019 Winter Simulation Conference, 2019

Solving The Army's Cyber Workforce Planning Problem Using Stochastic Optimization and Discrete-Event Simulation Modeling.

[BibT_eX]

[DOI]

Christopher B. Fisher

Andrew O. Hall

Brian J. Lunday

Proceedings of the 2019 Winter Simulation Conference, 2019

Intelligent Feature Engineering for Cybersecurity.

[BibT_eX]

[DOI]

Paul Maxwell

Elie Alhajjar

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2017

Optimizing Student Team and Job Assignments for the Holy Family Academy.

[BibT_eX]

[DOI]

Sharan Srinivas

Mohammadmahdi Alizadeh

Interfaces, 2017

A hybrid recommender system using artificial neural networks.

[BibT_eX]

[DOI]

Tulasi K. Paradarami

Jennifer L. Wightman

Expert Syst. Appl., 2017

Machine Learning and Statistical Techniques to Predict Sepsis: Unifying Previous Work.

[BibT_eX]

[DOI]

Joseph Klobusický

Alexander Murph

Alexander C. Robinson

Proceedings of the Summit on Clinical Research Informatics, 2017

2016

Multi-criteria logistics modeling for military humanitarian assistance and disaster relief aerial delivery operations.

[BibT_eX]

[DOI]

Optim. Lett., 2016

Data analytics in health promotion: Health market segmentation and classification of total joint replacement surgery patients.

[BibT_eX]

[DOI]

Eric R. Swenson

Harriet Black Nembhard

Expert Syst. Appl., 2016

2015

A maximum expected covering problem for locating and dispatching two classes of military medical evacuation air assets.

[BibT_eX]

[DOI]

Benjamin C. Grannan

Laura A. McLay

Optim. Lett., 2015

The AMEDD Uses Goal Programming to Optimize Workforce Planning Decisions.

[BibT_eX]

[DOI]

Interfaces, 2015

2013

Rainwater harvesting system using a non-parametric stochastic rainfall generator.

[BibT_eX]

[DOI]

Lawrence V. Fulton