Erik Hemberg - researchr alias

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Viewing Publication 1 - 100 from 108

2023

Investigating Student's Problem-solving Approaches in MOOCs using Natural Language ProcessingByeongJo Kong, Erik Hemberg, Ana Bell, Una-May O'Reilly. LAK 2023: 262-272 [doi]

Analysis of a Pairwise Dominance Coevolutionary Algorithm And DefendItPer Kristian Lehre, Mario Hevia Fajardo, Jamal Toutouh, Erik Hemberg, Una-May O'Reilly. gecco 2023: 1027-1035 [doi]

Genetic Programming: A Tutorial IntroductionUna-May O'Reilly, Erik Hemberg. gecco 2023: 1026-1036 [doi]

Adversarial agent-learning for cybersecurity: a comparison of algorithmsAlexander Shashkov, Erik Hemberg, Miguel Tulla, Una-May O'Reilly. ker, 38, 2023. [doi]

Semi-Supervised Learning with Coevolutionary Generative Adversarial NetworksJamal Toutouh, Subhash Nalluru, Erik Hemberg, Una-May O'Reilly. gecco 2023: 568-576 [doi]

Semi-supervised generative adversarial networks with spatial coevolution for enhanced image generation and classificationJamal Toutouh, Subhash Nalluru, Erik Hemberg, Una-May O'Reilly. asc, 148:110890, November 2023. [doi]

2022

Using domain knowledge in coevolution and reinforcement learning to simulate a logistics enterpriseYing Zhao 0006, Erik Hemberg, Nate Derbinsky, Gabino Mata, Una-May O'Reilly. gecco 2022: 514-517 [doi]

Coevolutionary generative adversarial networks for medical image augumentation at scaleDiana Flores, Erik Hemberg, Jamal Toutouh, Una-May O'Reilly. gecco 2022: 367-376 [doi]

GUI-based, efficient genetic programming for Unity3DRobert Gold, Andrew Haydn Grant, Erik Hemberg, Chathika Gunaratne, Una-May O'Reilly. gecco 2022: 2310-2313 [doi]

CyberEvo: evolutionary search of knowledge-based behaviors in a cyber attack campaignStephen Moskal, Erik Hemberg, Una-May O'Reilly. gecco 2022: 2168-2176 [doi]

Exploiting Knowledge from Code to Guide Program SearchDirk Schweim, Erik Hemberg, Dominik Sobania, Una-May O'Reilly. eurogp 2022: 262-277 [doi]

Synthesizing Programs from Program Pieces Using Genetic Programming and Refinement Type CheckingSabrina Tseng, Erik Hemberg, Una-May O'Reilly. eurogp 2022: 197-211 [doi]

Analyzing multi-agent reinforcement learning and coevolution in cybersecurityMatthew J. Turner, Erik Hemberg, Una-May O'Reilly. gecco 2022: 1290-1298 [doi]

Entropy-Based Characterization of Influence Pathways in Traditional and Social MediaÖzlem Özmen Garibay, Niloofar Yousefi, Kevin Aslett, Jacopo Baggio, Erik Hemberg, Chathura Jayalath, Alexander V. Mantzaris, Bruce Miller, Una-May O'Reilly, William Rand, Chathurani Senevirathna, Ivan Garibay. coinco 2022: 38-44 [doi]

2021

Simulating a logistics enterprise using an asymmetrical wargame simulation with soar reinforcement learning and coevolutionary algorithmsYing Zhao 0006, Erik Hemberg, Nate Derbinsky, Gabino Mata, Una-May O'Reilly. gecco 2021: 1907-1915 [doi]

Spatial Coevolution for Generative Adversarial Network TrainingErik Hemberg, Jamal Toutouh, Abdullah Al-Dujaili, Tom Schmiedlechner, Una-May O'Reilly. telo, 1(2), 2021. [doi]

Genetic programming: a tutorial introductionUna-May O'Reilly, Erik Hemberg. gecco 2021: 443-453 [doi]

Using knowledge of human-generated code to bias the search in program synthesis with grammatical evolutionDirk Schweim, Erik Hemberg, Dominik Sobania, Una-May O'Reilly, Franz Rothlauf. gecco 2021: 331-332 [doi]

Analyzing Student Reflection Sentiments and Problem-Solving Procedures in MOOCsAlexander Shashkov, Robert Gold, Erik Hemberg, ByeongJo Kong, Ana Bell, Una-May O'Reilly. lats 2021: 247-250 [doi]

Coevolutionary modeling of cyber attack patterns and mitigations using public datasetsMichal Shlapentokh-Rothman, Jonathan Kelly, Avital Baral, Erik Hemberg, Una-May O'Reilly. gecco 2021: 714-722 [doi]

Getting a Head Start on Program Synthesis with Genetic ProgrammingJordan Wick, Erik Hemberg, Una-May O'Reilly. eurogp 2021: 263-279 [doi]

2020

Analyzing Pre-Existing Knowledge and Performance in a Programming MOOCHannah Burd, Ana Bell, Erik Hemberg, Una-May O'Reilly. lats 2020: 281-284 [doi]

Analyzing K-12 Blended MOOC Learning BehaviorsRobert Gold, Erik Hemberg, Una-May O'Reilly. lats 2020: 345-348 [doi]

Exploring Adversarial Artificial Intelligence for Autonomous Adaptive Cyber DefenseErik Hemberg, Linda Zhang, Una-May O'Reilly. In Sushil Jajodia, George Cybenko, V. S. Subrahmanian, Vipin Swarup, Cliff Wang, Michael P. Wellman, editors, Adaptive Autonomous Secure Cyber Systems. pages 41-61, Springer, 2020. [doi]

Genetic programming: a tutorial introductionUna-May O'Reilly, Erik Hemberg. gecco 2020: 512-525 [doi]

Adversarial genetic programming for cyber security: a rising application domain where GP mattersUna-May O'Reilly, Jamal Toutouh, Marcos A. Pertierra, Daniel Prado Sanchez, Dennis Garcia, Anthony Erb Lugo, Jonathan Kelly, Erik Hemberg. gpem, 21(1):219-250, 2020. [doi]

Parallel/distributed implementation of cellular training for generative adversarial neural networksEmiliano Pérez, Sergio Nesmachnow, Jamal Toutouh, Erik Hemberg, Una-May O'Reilly. ipps 2020: 512-518 [doi]

Understanding Learner Behavior Through Learning Design Informed Learning AnalyticsHao Shen, Leming Liang, Nancy Law, Erik Hemberg, Una-May O'Reilly. lats 2020: 135-145 [doi]

Securing the software defined perimeter with evolutionary co-optimizationMichal Shlapentokh-Rothman, Erik Hemberg, Una-May O'Reilly. gecco 2020: 1528-1536 [doi]

Data Dieting in GAN TrainingJamal Toutouh, Erik Hemberg, Una-May O'Reilly. In Hitoshi Iba, Nasimul Noman, editors, Deep Neural Evolution - Deep Learning with Evolutionary Computation. Natural Computing Series, pages 379-400, Springer, 2020. [doi]

Re-purposing heterogeneous generative ensembles with evolutionary computationJamal Toutouh, Erik Hemberg, Una-May O'Reilly. gecco 2020: 425-434 [doi]

Analyzing the Components of Distributed Coevolutionary GAN TrainingJamal Toutouh, Erik Hemberg, Una-May O'Reilly. ppsn 2020: 552-566 [doi]

2019

Student Code Trajectories in an Introductory Programming MOOCAyesha Bajwa, Erik Hemberg, Ana Bell, Una-May O'Reilly. lats 2019: [doi]

Analyzing Student Code Trajectories in an Introductory Programming MOOCAyesha Bajwa, Ana Bell, Erik Hemberg, Una-May O'Reilly. lwmoocs 2019: 53-58 [doi]

Investigating Learning Design Categorization and Learning Behaviour in Computational MOOCSSagar Biswas, Nancy Law, Erik Hemberg, Una-May O'Reilly. lats 2019: [doi]

Transfer Learning using Representation Learning in Massive Open Online CoursesMucong Ding, Yanbang Wang, Erik Hemberg, Una-May O'Reilly. LAK 2019: 145-154 [doi]

Categorizing Resources and Learners for a Finer-Grained Analysis of MOOC Viewing & DoingErik Hemberg, Sagar Biswas, Ayesha Bajwa, Nancy Law, Una-May O'Reilly. lwmoocs 2019: 116-121 [doi]

On domain knowledge and novelty to improve program synthesis performance with grammatical evolutionErik Hemberg, Jonathan Kelly, Una-May O'Reilly. gecco 2019: 1039-1046 [doi]

On the use of context sensitive grammars in grammatical evolution for legal non-compliance detectionCarl Im, Erik Hemberg. gecco 2019: 371-372 [doi]

Improving Genetic Programming with Novel Exploration - Exploitation ControlJonathan Kelly, Erik Hemberg, Una-May O'Reilly. eurogp 2019: 64-80 [doi]

Adversarially Adapting Deceptive Views and Reconnaissance Scans on a Software Defined NetworkJonathan Kelly, Michael DeLaus, Erik Hemberg, Una-May O'Reilly. im 2019: 49-54 [doi]

How Student Background and Topic Impact the Doer Effect in Computational Thinking MOOCsJitesh Maiyuran, Ayesha Bajwa, Ana Bell, Erik Hemberg, Una-May O'Reilly. lwmoocs 2019: 47-52 [doi]

Introduction to genetic programmingUna-May O'Reilly, Erik Hemberg. gecco 2019: 710-725 [doi]

Spatial evolutionary generative adversarial networksJamal Toutouh, Erik Hemberg, Una-May O'Reilly. gecco 2019: 472-480 [doi]

Using Detailed Access Trajectories for Learning Behavior AnalysisYanbang Wang, Nancy Law, Erik Hemberg, Una-May O'Reilly. LAK 2019: 290-299 [doi]

On the Influence of Grades on Learning Behavior of Students in MOOCsLi Wang, Erik Hemberg, Una-May O'Reilly. lats 2019: [doi]

The Influence of Grades on Learning Behavior in MOOCs: Certification vs, Continued ParticipationLi Wang, Erik Hemberg, Una-May O'Reilly. lwmoocs 2019: 122-127 [doi]

Investigating algorithms for finding nash equilibria in cyber security problemsLinda Zhang, Erik Hemberg. gecco 2019: 1659-1667 [doi]

2018

Adversarial Deep Learning for Robust Detection of Binary Encoded MalwareAbdullah Al-Dujaili, Alex Huang, Erik Hemberg, Una-May O'Reilly. sp 2018: 76-82 [doi]

Exploring the Use of Autoencoders for Botnets Traffic RepresentationRuggiero Dargenio, Shashank Srikant, Erik Hemberg, Una-May O'Reilly. sp 2018: 57-62 [doi]

Design, Architecture, and Engineering with Grammatical EvolutionMichael Fenton, Jonathan Byrne, Erik Hemberg. In Conor Ryan, Michael O'Neill 0001, J. J. Collins, editors, Handbook of Grammatical Evolution. pages 317-339, Springer, 2018. [doi]

Grammatical Evolution with Coevolutionary Algorithms in Cyber SecurityErik Hemberg, Anthony Erb Lugo, Dennis Garcia, Una-May O'Reilly. In Conor Ryan, Michael O'Neill 0001, J. J. Collins, editors, Handbook of Grammatical Evolution. pages 407-431, Springer, 2018. [doi]

Theory of Disruption in GEErik Hemberg. In Conor Ryan, Michael O'Neill 0001, J. J. Collins, editors, Handbook of Grammatical Evolution. pages 109-135, Springer, 2018. [doi]

Adversarial co-evolution of attack and defense in a segmented computer network environmentErik Hemberg, Joseph R. Zipkin, Richard W. Skowyra, Neal Wagner, Una-May O'Reilly. gecco 2018: 1648-1655 [doi]

An Artificial Coevolutionary Framework for Adversarial AIUna-May O'Reilly, Erik Hemberg. aaaifs 2018: 50-55 [doi]

Competitive coevolutionary algorithm decision supportDaniel Prado Sanchez, Marcos A. Pertierra, Erik Hemberg, Una-May O'Reilly. gecco 2018: 300-301 [doi]

2017

PonyGE2: grammatical evolution in PythonMichael Fenton, James McDermott, David Fagan, Stefan Forstenlechner, Erik Hemberg, Michael O'Neill. gecco 2017: 1194-1201 [doi]

Exploiting Subprograms in Genetic ProgrammingSteven B. Fine, Erik Hemberg, Krzysztof Krawiec, Una-May O'Reilly. gptp 2018: 1-16 [doi]

Investigating coevolutionary archive based genetic algorithms on cyber defense networksDennis Garcia, Anthony Erb Lugo, Erik Hemberg, Una-May O'Reilly. gecco 2017: 1455-1462 [doi]

Collision frequency locality-sensitive hashing for prediction of critical eventsYongwook Bryce Kim, Erik Hemberg, Una-May O'Reilly. embc 2017: 3088-3093 [doi]

Developing proactive defenses for computer networks with coevolutionary genetic algorithmsAnthony Erb Lugo, Dennis Garcia, Erik Hemberg, Una-May O'Reilly. gecco 2017: 273-274 [doi]

Machine learning or discrete choice models for car ownership demand estimation and prediction?Miguel Paredes, Erik Hemberg, Una-May O'Reilly, Chris Zegras. mtits 2017: 780-785 [doi]

Towards Formalizing Statute Law as Default Logic through Automatic Semantic ParsingMarcos A. Pertierra, Sarah Lawsky, Erik Hemberg, Una-May O'Reilly. icail 2018: [doi]

If You Can't Measure It, You Can't Improve It: Moving Target Defense MetricsStjepan Picek, Erik Hemberg, Una-May O'Reilly. ccs 2017: 115-118 [doi]

One-Class Classification of Low Volume DoS Attacks with Genetic ProgrammingStjepan Picek, Erik Hemberg, Domagoj Jakobovic, Una-May O'Reilly. gptp 2018: 149-168 [doi]

cCube: a cloud microservices architecture for evolutionary machine learning classificationPasquale Salza, Erik Hemberg, Filomena Ferrucci, Una-May O'Reilly. gecco 2017: 137-138 [doi]

Towards evolutionary machine learning comparison, competition, and collaboration with a multi-cloud platformPasquale Salza, Erik Hemberg, Filomena Ferrucci, Una-May O'Reilly. gecco 2017: 1263-1270 [doi]

2016

Multi-Line Batch Scheduling by SimilarityIgnacio Arnaldo, Erik Hemberg, Una-May O'Reilly. gecco 2016: 921-927 [doi]

Discrete Planar Truss Optimization by Node Position Variation Using Grammatical EvolutionMichael Fenton, Ciaran McNally, Jonathan Byrne, Erik Hemberg, James McDermott, Michael O'Neill. tec, 20(4):577-589, 2016. [doi]

Detecting tax evasion: a co-evolutionary approachErik Hemberg, Jacob B. Rosen, Geoff Warner, Sanith Wijesinghe, Una-May O'Reilly. ail, 24(2):149-182, 2016. [doi]

Investigating Multi-Population Competitive Coevolution for Anticipation of Tax EvasionErik Hemberg, Jacob B. Rosen, Una-May O'Reilly. gptp 2018: 35-51 [doi]

Stratified locality-sensitive hashing for accelerated physiological time series retrievalYongwook Bryce Kim, Erik Hemberg, Una-May O'Reilly. embc 2016: 2479-2483 [doi]

Dynamics of Adversarial Co-evolution in Tax Non-Compliance DetectionJacob B. Rosen, Erik Hemberg, Una-May O'Reilly. gecco 2016: 1087-1094 [doi]

2015

2013

A methodology for user directed search in evolutionary designJonathan Byrne, Erik Hemberg, Michael O'Neill, Anthony Brabazon. gpem, 14(3):287-314, 2013. [doi]

Understanding Expansion Order and Phenotypic Connectivity in πGEDavid Fagan, Erik Hemberg, Michael O'Neill, Seán McGarraghy. eurogp 2013: 37-48 [doi]

Genetic Programming and Coevolution to Play the Bomberman™ Video GameRobert Gold, Henrique Branquinho, Erik Hemberg, Una-May O'Reilly, Pablo García-Sánchez. evoapps 2023: 765-779 [doi]

Introducing graphical models to analyze genetic programming dynamicsErik Hemberg, Constantin Berzan, Kalyan Veeramachaneni, Una-May O'Reilly. foga 2013: 75-86 [doi]

A comparison of grammatical genetic programming grammars for controlling femtocell network coverageErik Hemberg, Lester T. W. Ho, Michael O'Neill, Holger Claussen. gpem, 14(1):65-93, 2013. [doi]

Imprecise selection and fitness approximation in a large-scale evolutionary rule based system for blood pressure predictionErik Hemberg, Kalyan Veeramachaneni, Franck Dernoncourt, Mark Wagy, Una-May O'Reilly. gecco 2013: 153-154 [doi]

Efficient training set use for blood pressure prediction in a large scale learning classifier systemErik Hemberg, Kalyan Veeramachaneni, Franck Dernoncourt, Mark Wagy, Una-May O'Reilly. gecco 2013: 1267-1274 [doi]

Maintenance of a Long Running Distributed Genetic Programming System for Solving Problems Requiring Big DataBabak Hodjat, Erik Hemberg, Hormoz Shahrzad, Una-May O'Reilly. gptp 2014: 65-83 [doi]

2012

A Local Search Interface for Interactive Evolutionary Architectural DesignJonathan Byrne, Erik Hemberg, Anthony Brabazon, Michael O'Neill. evoW 2012: 23-34 [doi]

Towards adaptive mutation in grammatical evolutionDavid Fagan, Erik Hemberg, Miguel Nicolau, Michael O'Neill, Seán McGarraghy. gecco 2012: 1481-1482 [doi]

Graphical models and what they reveal about GP when it solves a symbolic regression problemErik Hemberg, Kalyan Veeramachaneni, Una-May O'Reilly. gecco 2012: 493-494 [doi]

An investigation of local patterns for estimation of distribution genetic programmingErik Hemberg, Kalyan Veeramachaneni, James McDermott, Constantin Berzan, Una-May O'Reilly. gecco 2012: 767-774 [doi]

Evolving Femtocell Algorithms with Dynamic and Stationary Training ScenariosErik Hemberg, Lester T. W. Ho, Michael O'Neill, Holger Claussen. ppsn 2012: 518-527 [doi]

Comparing the robustness of grammatical genetic programming solutions for femtocell algorithmsErik Hemberg, Lester T. W. Ho, Michael O'Neill, Holger Claussen. gecco 2012: 1525-1526 [doi]

Grammar Bias and Initialisation in Grammar Based Genetic ProgrammingEoin Murphy, Erik Hemberg, Miguel Nicolau, Michael O'Neill, Anthony Brabazon. eurogp 2012: 85-96 [doi]

Differential Gene Expression with Tree-Adjunct GrammarsEoin Murphy, Miguel Nicolau, Erik Hemberg, Michael O'Neill, Anthony Brabazon. ppsn 2012: 377-386 [doi]

Comparing methods for module identification in grammatical evolutionJohn Mark Swafford, Miguel Nicolau, Erik Hemberg, Michael O'Neill, Anthony Brabazon. gecco 2012: 823-830 [doi]

Analyzing Module Usage in Grammatical EvolutionJohn Mark Swafford, Erik Hemberg, Michael O'Neill, Anthony Brabazon. ppsn 2012: 347-356 [doi]

2011

Interactive operators for evolutionary architectural designJonathan Byrne, Erik Hemberg, Michael O Neill. gecco 2011: 43-44 [doi]

Dynamic ant: introducing a new benchmark for genetic programming in dynamic environmentsDavid Fagan, Miguel Nicolau, Erik Hemberg, Michael O Neill, Anthony Brabazon. gecco 2011: 183-184 [doi]

Investigation of the Performance of Different Mapping Orders for GE on the Max ProblemDavid Fagan, Miguel Nicolau, Erik Hemberg, Michael O Neill, Anthony Brabazon, Seán McGarraghy. eurogp 2011: 286-297 [doi]

A symbolic regression approach to manage femtocell coverage using grammatical genetic programmingErik Hemberg, Lester T. W. Ho, Michael O Neill, Holger Claussen. gecco 2011: 639-646 [doi]

Tracer spectrum: a visualisation method for distributed evolutionary computationMichael O Neill, Anthony Brabazon, Erik Hemberg. gpem, 12(2):161-171, 2011. [doi]

A non-destructive grammar modification approach to modularity in grammatical evolutionJohn Mark Swafford, Erik Hemberg, Michael O Neill, Miguel Nicolau, Anthony Brabazon. gecco 2011: 1411-1418 [doi]

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