Erik Hemberg

Una-May O'Reilly, Erik Hemberg, Yongwook Bryce Kim, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Analyzing the Components of Distributed Coevolutionary GAN Training pdf

Erik Hemberg, Una-May O'Reilly, Jamal Toutouh, 2020, PPSN.

Tax non-compliance detection using co-evolution of tax evasion risk and audit likelihood

Una-May O'Reilly, Erik Hemberg, Sanith Wijesinghe, 2015, ICAIL.

Towards adaptive mutation in grammatical evolution

Michael O'Neill, David Fagan, Miguel Nicolau, 2012, GECCO '12.

Exploring Adversarial Artificial Intelligence for Autonomous Adaptive Cyber Defense

Una-May O'Reilly, Erik Hemberg, Linda Zhang, 2020, Adaptive Autonomous Secure Cyber Systems.

A comparison of grammatical genetic programming grammars for controlling femtocell network coverage

Holger Claussen, Lester T. W. Ho, Erik Hemberg, 2012, Genetic Programming and Evolvable Machines.

Adversarially Adapting Deceptive Views and Reconnaissance Scans on a Software Defined Network

Una-May O'Reilly, Erik Hemberg, Jonathan Kelly, 2019, 2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM).

cCube: a cloud microservices architecture for evolutionary machine learning classification

Filomena Ferrucci, Pasquale Salza, Una-May O'Reilly, 2017, GECCO.

If You Can't Measure It, You Can't Improve It: Moving Target Defense Metrics

Una-May O'Reilly, Erik Hemberg, Stjepan Picek, 2017, MTD@CCS.

Investigation of the Performance of Different Mapping Orders for GE on the Max Problem

Anthony Brabazon, Michael O'Neill, David Fagan, 2011, EuroGP.

Re-purposing heterogeneous generative ensembles with evolutionary computation

Una-May O'Reilly, Erik Hemberg, Jamal Toutouh, 2020, GECCO.

Genotype representations in grammatical evolution

Anthony Brabazon, Michael O'Neill, Erik Hemberg, 2010, Appl. Soft Comput..

Grammatical bias and building blocks in meta-grammar Grammatical Evolution

Anthony Brabazon, Michael O'Neill, Erik Hemberg, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Transfer Learning using Representation Learning in Massive Online Open Courses

Una-May O'Reilly, Erik Hemberg, Mucong Ding, 2018 .

Grammatical Evolution with Coevolutionary Algorithms in Cyber Security

Una-May O'Reilly, Erik Hemberg, Dennis Garcia, 2018, Handbook of Grammatical Evolution.

Towards Distributed Coevolutionary GANs pdf

Abdullah Al-Dujaili, Una-May O'Reilly, Erik Hemberg, 2018, ArXiv.

BRON - Linking Attack Tactics, Techniques, and Patterns with Defensive Weaknesses, Vulnerabilities and Affected Platform Configurations pdf

Erik Hemberg, Una-May O'Reilly, Jonathan Kelly, 2020, ArXiv.

A methodology for user directed search in evolutionary design

Anthony Brabazon, Erik Hemberg, Jonathan Byrne, 2013, Genetic Programming and Evolvable Machines.

Imprecise selection and fitness approximation in a large-scale evolutionary rule based system for blood pressure prediction

Franck Dernoncourt, Kalyan Veeramachaneni, Una-May O'Reilly, 2013, GECCO.

Comparing methods for module identification in grammatical evolution

Anthony Brabazon, Michael O'Neill, Miguel Nicolau, 2012, GECCO '12.

Adversarial Deep Learning for Robust Detection of Binary Encoded Malware

Abdullah Al-Dujaili, Una-May O'Reilly, Erik Hemberg, 2018, 2018 IEEE Security and Privacy Workshops (SPW).

Design, Architecture, and Engineering with Grammatical Evolution

Michael Fenton, Erik Hemberg, Jonathan Byrne, 2018, Handbook of Grammatical Evolution.

Analysis of constant creation techniques on the binomial-3 problem with grammatical evolution

Anthony Brabazon, Michael O'Neill, Erik Hemberg, 2009, 2009 IEEE Congress on Evolutionary Computation.

Adversarial co-evolution of attack and defense in a segmented computer network environment

Una-May O'Reilly, Erik Hemberg, Joseph R. Zipkin, 2018, GECCO.

Investigating algorithms for finding nash equilibria in cyber security problems

Erik Hemberg, Linda Zhang, Erik Hemberg, 2019, GECCO.

Competitive coevolutionary algorithm decision support

Una-May O'Reilly, Erik Hemberg, Marcos A. Pertierra, 2018, GECCO.

Efficient training set use for blood pressure prediction in a large scale learning classifier system

Franck Dernoncourt, Kalyan Veeramachaneni, Una-May O'Reilly, 2013, GECCO '13 Companion.

Exploiting Subprograms in Genetic Programming

Krzysztof Krawiec, Una-May O'Reilly, Erik Hemberg, 2017, GPTP.

Introducing graphical models to analyze genetic programming dynamics

Kalyan Veeramachaneni, Una-May O'Reilly, Erik Hemberg, 2013, FOGA XII '13.

Computer Aided Tax Evasion Policy Analysis: Directed Search using Autonomous Agents

Una-May O'Reilly, Erik Hemberg, Sanith Wijesinghe, 2015, AAMAS.

A symbolic regression approach to manage femtocell coverage using grammatical genetic programming

Holger Claussen, Michael O'Neill, Lester T. W. Ho, 2011, GECCO '11.

Automatic innovative truss design using grammatical evolution

Michael O'Neill, Michael Fenton, Erik Hemberg, 2014 .

Exploring the Use of Autoencoders for Botnets Traffic Representation

Una-May O'Reilly, Erik Hemberg, Ruggiero Dargenio, 2018, 2018 IEEE Security and Privacy Workshops (SPW).

Dynamics of Adversarial Co-evolution in Tax Non-Compliance Detection

Una-May O'Reilly, Erik Hemberg, Jacob B. Rosen, 2016, GECCO.

A Local Search Interface for Interactive Evolutionary Architectural Design

Anthony Brabazon, Michael O'Neill, Erik Hemberg, 2012, EvoMUSART.

Comparing the robustness of grammatical genetic programming solutions for femtocell algorithms

Holger Claussen, Michael O'Neill, Lester T. W. Ho, 2012, GECCO '12.

On the Influence of Grades on Learning Behavior of Students in MOOCs

Una-May O'Reilly, Erik Hemberg, Li Wang, 2019, L@S.

On domain knowledge and novelty to improve program synthesis performance with grammatical evolution

Una-May O'Reilly, Erik Hemberg, Jonathan Kelly, 2019, GECCO.

Understanding Expansion Order and Phenotypic Connectivity in πGE

Michael O'Neill, David Fagan, Erik Hemberg, 2013, EuroGP.

Introduction to genetic programming

Una-May O'Reilly, Erik Hemberg, 2019, GECCO.

Using Detailed Access Trajectories for Learning Behavior Analysis

Una-May O'Reilly, Erik Hemberg, Nancy Law, 2018, LAK.

Lipizzaner: A System That Scales Robust Generative Adversarial Network Training pdf

Abdullah Al-Dujaili, Una-May O'Reilly, Erik Hemberg, 2018, ArXiv.

Evolving Femtocell Algorithms with Dynamic and Stationary Training Scenarios

Holger Claussen, Lester T. W. Ho, Michael O'Neill, 2012, PPSN.

Investigating Multi-Population Competitive Coevolution for Anticipation of Tax Evasion

Una-May O'Reilly, Erik Hemberg, Jacob B. Rosen, 2016, GPTP.

An Artificial Coevolutionary Framework for Adversarial AI

Una-May O'Reilly, Erik Hemberg, Una-May O’Reilly, 2018, AAAI Fall Symposium: ALEC.

GEVA - Grammatical Evolution in Java (v1.0)

Anthony Brabazon, Erik Hemberg, James McDermott, 2008 .

Altering Search Rates of the Meta and Solution Grammars in the mGGA

Anthony Brabazon, Michael O'Neill, Erik Hemberg, 2008, EuroGP.

Improving Genetic Programming with Novel Exploration - Exploitation Control

Una-May O'Reilly, Erik Hemberg, Jonathan Kelly, 2019, EuroGP.

Analyzing Student Code Trajectories in an Introductory Programming MOOC

Una-May O'Reilly, Erik Hemberg, Ana Bell, 2019, 2019 IEEE Learning With MOOCS (LWMOOCS).

Investigating Learning Design Categorization and Learning Behaviour in Computational MOOCS

Nancy Law, Una-May O'Reilly, Erik Hemberg, 2019, L@S.

Spatial evolutionary generative adversarial networks

Una-May O'Reilly, Erik Hemberg, Jamal Toutouh, 2019, GECCO.

Detecting tax evasion: a co-evolutionary approach

Una-May O'Reilly, Erik Hemberg, Sanith Wijesinghe, 2016, Artificial Intelligence and Law.

Adversarial genetic programming for cyber security: a rising application domain where GP matters

Erik Hemberg, Jonathan Kelly, Jamal Toutouh, 2020, Genetic Programming and Evolvable Machines.

A Grammatical Genetic Programming Approach to Modularity in Genetic Algorithms

Anthony Brabazon, Michael O'Neill, Erik Hemberg, 2007, EuroGP.

Combining Structural Analysis and Multi-Objective Criteria for Evolutionary Architectural Design

Michael O'Neill, Michael Fenton, Erik Hemberg, 2011, EvoApplications.

Distributed Stratified Locality Sensitive Hashing for Critical Event Prediction in the Cloud pdf

Una-May O'Reilly, Erik Hemberg, Alessandro De Palma, 2017, ArXiv.

Multi-Line Batch Scheduling by Similarity

Una-May O'Reilly, Erik Hemberg, Ignacio Arnaldo, 2016, GECCO.

Towards evolutionary machine learning comparison, competition, and collaboration with a multi-cloud platform

Filomena Ferrucci, Pasquale Salza, Una-May O'Reilly, 2017, GECCO.

On the Application of Danskin's Theorem to Derivative-Free Minimax Optimization pdf

Abdullah Al-Dujaili, Una-May O'Reilly, Erik Hemberg, 2018, ArXiv.

A non-destructive grammar modification approach to modularity in grammatical evolution

Anthony Brabazon, Michael O'Neill, Miguel Nicolau, 2011, GECCO '11.

Discrete Planar Truss Optimization by Node Position Variation Using Grammatical Evolution

Michael Fenton, Erik Hemberg, James McDermott, 2016, IEEE Transactions on Evolutionary Computation.

Evolutionary design using grammatical evolution and shape grammars: designing a shelter

Anthony Brabazon, Erik Hemberg, Jonathan Byrne, 2010 .

Data Dieting in GAN Training pdf

Una-May O'Reilly, Erik Hemberg, Jamal Toutouh, 2020, Deep Neural Evolution.

Subtree deactivation control with grammatical Genetic Programming in dynamic environments

Anthony Brabazon, Michael O'Neill, Erik Hemberg, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Differential Gene Expression with Tree-Adjunct Grammars

Anthony Brabazon, Michael O'Neill, Eoin Murphy, 2012, PPSN.

Machine learning or discrete choice models for car ownership demand estimation and prediction?

Una-May O'Reilly, Erik Hemberg, Chris Zegras, 2017, 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS).

One-Class Classification of Low Volume DoS Attacks with Genetic Programming

Una-May O'Reilly, Erik Hemberg, Domagoj Jakobovic, 2017, GPTP.

Theory of Disruption in GE

Erik Hemberg, Erik Hemberg, 2018, Handbook of Grammatical Evolution.

An exploration of learning and grammars in grammatical evolution

Erik Hemberg, 2009, GECCO '09.

Tracer spectrum: a visualisation method for distributed evolutionary computation

Anthony Brabazon, Michael O'Neill, Erik Hemberg, 2010, Genetic Programming and Evolvable Machines.

Stratified locality-sensitive hashing for accelerated physiological time series retrieval

Una-May O'Reilly, Erik Hemberg, Yongwook Bryce Kim, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

String-Rewriting Grammars for Evolutionary Architectural Design

Erik Hemberg, Jonathan Byrne, Michael Fenton, 2012 .

Interactive operators for evolutionary architectural design

Michael O'Neill, Erik Hemberg, Jonathan Byrne, 2011, GECCO '11.

On Visual Hallmarks of Robustness to Adversarial Malware pdf

Una-May O'Reilly, Erik Hemberg, Alex Huang, 2018, ArXiv.

Transfer Learning using Representation Learning in Massive Open Online Courses

Una-May O'Reilly, Erik Hemberg, Mucong Ding, 2019, LAK.

Grammar Bias and Initialisation in Grammar Based Genetic Programming

Anthony Brabazon, Michael O'Neill, Eoin Murphy, 2012, EuroGP.

Graphical models and what they reveal about GP when it solves a symbolic regression problem

Kalyan Veeramachaneni, Una-May O'Reilly, Erik Hemberg, 2012, GECCO '12.