Una-May O'Reilly

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).

Genr8: Architects' Experience with an Emergent Design Tool

Una-May O'Reilly, Achim Menges, Katrin Jonas, 2008, The Art of Artificial Evolution.

On the Coding-Link Cost Tradeoff in Multicast Network Coding

Muriel Medard, Una-May O'Reilly, Varun Aggarwal, 2007, MILCOM 2007 - IEEE Military Communications Conference.

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

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

Exploring Adversarial Artificial Intelligence for Autonomous Adaptive Cyber Defense

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

Extending Grammatical Evolution to Evolve Digital Surfaces with Genr8

Una-May O'Reilly, Martin Hemberg, Una-May O’Reilly, 2004, EuroGP.

Evolutionary optimization of flavors

Kalyan Veeramachaneni, Una-May O'Reilly, Ekaterina Vladislavleva, 2010, GECCO '10.

Hyperparameter Tuning in Bandit-Based Adaptive Operator Selection

Una-May O'Reilly, Saman P. Amarasinghe, Jason Ansel, 2012, EvoApplications.

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.

Flex-GP: Genetic Programming on the Cloud

Kalyan Veeramachaneni, Una-May O'Reilly, James McDermott, 2012, EvoApplications.

Bring Your Own Learner: A Cloud-Based, Data-Parallel Commons for Machine Learning

Kalyan Veeramachaneni, Una-May O'Reilly, Ignacio Arnaldo, 2015, IEEE Computational Intelligence Magazine.

CryptoBench: benchmarking evolutionary algorithms with cryptographic problems

Una-May O'Reilly, Domagoj Jakobovic, Stjepan Picek, 2017, GECCO.

Re-purposing heterogeneous generative ensembles with evolutionary computation

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

Genetic programming: a tutorial introduction

Una-May O'Reilly, 2018, GECCO '18.

Author response: Comprehension of computer code relies primarily on domain-general executive brain regions

Marina Umaschi Bers, Una-May O'Reilly, Evelina Fedorenko, 2020 .

Proceedings of the 7th annual conference on Genetic and evolutionary computation

Hans-Georg Beyer, Una-May O'Reilly, 2005 .

Genetic programming needs better benchmarks

Leonardo Vanneschi, Wojciech Jaskowski, Krzysztof Krawiec, 2012, GECCO '12.

Genetic Representations for Evolutionary Minimization of Network Coding Resources

Muriel Médard, Una-May O'Reilly, Varun Aggarwal, 2007, EvoWorkshops.

The Max problem revisited: The importance of mutation in genetic programming

Andrew M. Sutton, Una-May O'Reilly, Timo Kötzing, 2014, Theor. Comput. Sci..

Technologies for Human/Humanoid Natural Interactions

Brian Scassellati, Cynthia Breazeal, Rodney A. Brooks, 1999 .

Emergent Design: A Crosscutting Research Program and Design Curriculum Integrating Architecture and Artificial Intelligence

Una-May O'Reilly, Ian M. Ross, Peter Testa, 2001 .

Analysis of locality-sensitive hashing for fast critical event prediction on physiological time series

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

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.

Building Multiclass Nonlinear Classifiers with GPUs

Kalyan Veeramachaneni, Una-May O'Reilly, Ignacio Arnaldo, 2013 .

Gaussian Process-Based Feature Selection for Wavelet Parameters: Predicting Acute Hypotensive Episodes from Physiological Signals

Franck Dernoncourt, Kalyan Veeramachaneni, Una-May O'Reilly, 2015, 2015 IEEE 28th International Symposium on Computer-Based Medical Systems.

An introduction to the third volume

Peter J. Angeline, Lee Spector, Una-May O'Reilly, 1999 .

Towards Distributed Coevolutionary GANs pdf

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

Representation in Architectural Design Tools

Una-May O'Reilly, Peter Testa, 2000 .

The Impact of External Dependency in Genetic Programming Primitives

Una-May O'Reilly, 1998, Canadian Conference on AI.

Autotuning algorithmic choice for input sensitivity

Kalyan Veeramachaneni, Una-May O'Reilly, Yufei Ding, 2015, PLDI.

Likely to stop? Predicting Stopout in Massive Open Online Courses pdf

Kalyan Veeramachaneni, Una-May O'Reilly, Colin Taylor, 2014, ArXiv.

Feature Extraction from Optimization Data via DataModeler's Ensemble Symbolic Regression

Kalyan Veeramachaneni, Una-May O'Reilly, Ekaterina Vladislavleva, 2010, LION.

FlexGP

Kalyan Veeramachaneni, Una-May O'Reilly, Ignacio Arnaldo, 2014, Journal of Grid Computing.

Women@GECCO 2014

Gabriela Ochoa, Una-May O'Reilly, Anne Auger, 2014, GECCO.

Integrating generative growth and evolutionary computation for form exploration

Una-May O'Reilly, Martin Hemberg, Una-May O’Reilly, 2007, 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.

Behavioral programming: a broader and more detailed take on semantic GP

Krzysztof Krawiec, Una-May O'Reilly, Una-May O’Reilly, 2014, GECCO.

An efficient evolutionary algorithm for solving incrementally structured problems

Una-May O'Reilly, Saman P. Amarasinghe, Jason Ansel, 2011, GECCO '11.

Better GP benchmarks: community survey results and proposals

Wojciech Jaskowski, Gabriel Kronberger, Una-May O'Reilly, 2012, Genetic Programming and Evolvable Machines.

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).

Session details: Workshop: evolutionary computation for big data and big learning

Kalyan Veeramachaneni, Jaume Bacardit, Una-May O'Reilly, 2014, GECCO 2014.

Sensing and Manipulating Built-for-Human Environments

Rodney A. Brooks, Una-May O'Reilly, Charles C. Kemp, 2004, Int. J. Humanoid Robotics.

Computational complexity analysis of simple genetic programming on two problems modeling isolated program semantics

Una-May O'Reilly, Frank Neumann, Greg Durrett, 2010, FOGA '11.

An Interactive Artificial Ant Approach to Non-photorealistic Rendering

Frédo Durand, Una-May O'Reilly, Yann Semet, 2004, GECCO.

STEALTH: Modeling Coevolutionary Dynamics of Tax Evasion and Auditing

Una-May O'Reilly, 2016, KDIR.

MOOCdb: Developing Standards and Systems to Support MOOC Data Science pdf

Franck Dernoncourt, Kalyan Veeramachaneni, Una-May O'Reilly, 2014, ArXiv.

Una-May O'Reilly

Una-May O'Reilly, 2016, SEVO.

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

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

Competitive coevolutionary algorithm decision support

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

Genetic programming: a tutorial introduction

Una-May O'Reilly, 2017, GECCO '17.

A doubly distributed genetic algorithm for network coding

Muriel Médard, Una-May O'Reilly, Varun Aggarwal, 2007, GECCO '07.

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.

Genetic programming for quantitative stock selection

Una-May O'Reilly, Ying L. Becker, Una-May O’Reilly, 2009, GEC '09.

Exploiting Subprograms in Genetic Programming

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

The Robust Malware Detection Challenge and Greedy Random Accelerated Multi-Bit Search

Abdullah Al-Dujaili, Una-May O'Reilly, A. Nadeem, 2020, AISec@CCS.

Introducing graphical models to analyze genetic programming dynamics

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

The max problem revisited: the importance of mutation in genetic programming

Andrew M. Sutton, Una-May O'Reilly, Timo Kötzing, 2012, GECCO '12.

GRACE: Generative Robust Analog Circuit Exploration

Una-May O'Reilly, Varun Aggarwal, Matthew Farrell, 2006, EvoWorkshops.

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

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

Behavioral Search Drivers for Genetic Programing

Krzysztof Krawiec, Una-May O'Reilly, Una-May O’Reilly, 2014, EuroGP.

Genetic and Evolutionary Computation — GECCO 2003

Julian F. Miller, Mark Harman, Kathryn A. Dowsland, 2003, Lecture Notes in Computer Science.

Adapting Convergent Scheduling Using Machine-Learning

Una-May O'Reilly, Mark Stephenson, Saman P. Amarasinghe, 2003, LCPC.

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).

A Self-Tuning Analog Proportional-Integral-Derivative (PID) Controller

Una-May O'Reilly, Varun Aggarwal, Meng Mao, 2006, First NASA/ESA Conference on Adaptive Hardware and Systems (AHS'06).

A comparative analysis of genetic programming

Una-May O'Reilly, Franz Oppacher, 1996 .

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

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

Optimizing energy output and layout costs for large wind farms using particle swarm optimization

Kalyan Veeramachaneni, Una-May O'Reilly, Frank Neumann, 2012, 2012 IEEE Congress on Evolutionary Computation.

Dependency-Based Neural Representations for Classifying Lines of Programs pdf

Una-May O'Reilly, Shashank Srikant, Nicolas Lesimple, 2020, ArXiv.

Using reinforcement learning to optimize occupant comfort and energy usage in HVAC systems

Kalyan Veeramachaneni, Pedro U. Lima, Una-May O'Reilly, 2014, J. Ambient Intell. Smart Environ..

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

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

On the "Evolvable Hardware" Approach to Electronic Design Invention

Una-May O'Reilly, Varun Aggarwal, Karl Berggren, 2007, 2007 IEEE Workshop on Evolvable and Adaptive Hardware (WEAH2007).

Flash: A GP-GPU Ensemble Learning System for Handling Large Datasets

Kalyan Veeramachaneni, Una-May O'Reilly, Ignacio Arnaldo, 2014, EuroGP.

Behavioral Program Synthesis: Insights and Prospects

Krzysztof Krawiec, Una-May O'Reilly, Jerry Swan, 2016 .

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

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

Filter approximation using explicit time and frequency domain specifications

Una-May O'Reilly, Varun Aggarwal, Wesley O. Jin, 2006, GECCO '06.

Introduction to genetic programming

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

Multiple regression genetic programming

Krzysztof Krawiec, Una-May O'Reilly, Ignacio Arnaldo, 2014, GECCO.

Using Detailed Access Trajectories for Learning Behavior Analysis

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

EC-Star: A Massive-Scale, Hub and Spoke, Distributed Genetic Programming System

Una-May O'Reilly, Babak Hodjat, Mark D. Wagy, 2013 .

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

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

Comprehension of computer code relies primarily on domain-general executive brain regions

Una-May O'Reilly, Evelina Fedorenko, Shashank Srikant, 2020, eLife.

Hogs and slackers: Using operations balance in a genetic algorithm to optimize sparse algebra computation on distributed architectures

Una-May O'Reilly, Nadya T. Bliss, Julie Mullen, 2010, Parallel Comput..

Large-Scale Methodological Comparison of Acute Hypotensive Episode Forecasting Using MIMIC2 Physiological Waveforms

Una-May O'Reilly, Yongwook Bryce Kim, Joohyun Seo, 2014, 2014 IEEE 27th International Symposium on Computer-Based Medical Systems.

Investigating Multi-Population Competitive Coevolution for Anticipation of Tax Evasion

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

Genetic Programming: 7th European Conference, EuroGP 2004, Coimbra, Portugal, April 5-7, 2004, Proceedings

Terence Soule, Simon M. Lucas, Maarten Keijzer, 2004 .

An Artificial Coevolutionary Framework for Adversarial AI

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

Towards Feature Engineering at Scale for Data from Massive Open Online Courses pdf

Kalyan Veeramachaneni, Una-May O'Reilly, Colin Taylor, 2014, ArXiv.

Emergent Design: Artificial Life for Architecture Design

Una-May O'Reilly, Ian M. Ross, Peter Testa, 2000 .

Baseline Genetic Programming: Symbolic Regression on Benchmarks for Sensory Evaluation Modeling

Kalyan Veeramachaneni, Una-May O'Reilly, Pierre-Luc Noel, 2011 .

Knowledge mining with genetic programming methods for variable selection in flavor design

Kalyan Veeramachaneni, Una-May O'Reilly, Ekaterina Vladislavleva, 2010, GECCO '10.

Improving Genetic Programming with Novel Exploration - Exploitation Control

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

How Far Is It from Here to There? A Distance That Is Coherent with GP Operators

Leonardo Vanneschi, Kalyan Veeramachaneni, Una-May O'Reilly, 2011, 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.

Genetic and Evolutionary Computation Conference, GECCO 2005, Proceedings, Washington DC, USA, June 25-29, 2005

Hans-Georg Beyer, Una-May O'Reilly, 2005, GECCO.

MOOCdb: Developing Data Standards for MOOC Data Science

Zachary A. Pardos, Franck Dernoncourt, Kalyan Veeramachaneni, 2013 .

Modeling Service Execution on Data Centers for Energy Efficiency and Quality of Service Monitoring

Kalyan Veeramachaneni, Una-May O'Reilly, Monica Vitali, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

An executable graph representation for evolutionary generative music

Una-May O'Reilly, James McDermott, Una-May O’Reilly, 2011, GECCO '11.

Tight Bounds for Synchronous Communication of Information Using Bits, Silence

Nicola Santoro, Una-May O'Reilly, Una-May O’Reilly, 2003, Discret. Appl. Math..

A continuous developmental model for wind farm layout optimization

Hervé Luga, Sylvain Cussat-Blanc, Kalyan Veeramachaneni, 2014, GECCO.

Spatial evolutionary generative adversarial networks

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

Genetic Programming Theory and Practice II

Una-May O'Reilly, Rick L. Riolo, Tina Yu, 2005 .

Emergent Design: Opportunities for Hybridizing Agent-Based and Evolutionary Computation

Una-May O'Reilly, 2004, HIS.

Detecting tax evasion: a co-evolutionary approach

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

Genetic Programming Applied to Compiler Heuristic Optimization

Una-May O'Reilly, Mark Stephenson, Saman P. Amarasinghe, 2003, EuroGP.

Feature Factory: Crowd Sourced Feature Discovery

Kalyan Veeramachaneni, Una-May O'Reilly, Kiarash Adl, 2015, L@S.

Introduction to the Special Issue: Trends in Evolutionary Methods for Program Induction

Peter J. Angeline, Una-May O'Reilly, P. Angeline, 1997, Evolutionary Computation.

Evolutionary and Generative Music Informs Music HCI - And Vice Versa

Una-May O'Reilly, James McDermott, Dylan Sherry, 2013, Music and Human-Computer Interaction.

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.

Emergent design: opportunities for agent-based and evolutionary computation

Una-May O'Reilly, 2004, IEEE Congress on Evolutionary Computation.

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.

AST-Based Deep Learning for Detecting Malicious PowerShell

Abdullah Al-Dujaili, Una-May O'Reilly, Gili Rusak, 2018, CCS.

An analysis of genetic programming

Una-May O'Reilly, Franz Oppacher, Una-May O’Reilly, 1995 .

Investigating the Generality of Automatically Defined Functions

Una-May O'Reilly, Una-May O’Reilly, 1996 .

An Experimental Perspective on Genetic Programming

Una-May O'Reilly, Franz Oppacher, 1992, PPSN.

Autoconstructive evolution for structural problems

Jordan B. Pollack, Lee Spector, Una-May O'Reilly, 2012, GECCO '12.

Knowledge mining sensory evaluation data: genetic programming, statistical techniques, and swarm optimization

Kalyan Veeramachaneni, Una-May O'Reilly, Ekaterina Vladislavleva, 2012, Genetic Programming and Evolvable Machines.

Cloud Scale Distributed Evolutionary Strategies for High Dimensional Problems

Kalyan Veeramachaneni, Dennis G. Wilson, Una-May O'Reilly, 2013, EvoApplications.

Network coding and its implications on optical networking

Muriel Medard, Una-May O'Reilly, Minkyu Kim, 2009, 2009 Conference on Optical Fiber Communication - incudes post deadline papers.

Computational Complexity Analysis of Genetic Programming - Initial Results and Future Directions

Una-May O'Reilly, Markus Wagner, Frank Neumann, 2011 .

Book Review: Genetic Programming II - Automatic Discovery of Reusable Programs by John R Koza

Una-May O'Reilly, 1994, Artif. Life.

Genetic Programming: 7th European Conference, Eurogp2004, Coimbra, Portugal, April 5-7, 2004, Proceedings (LECTURE NOTES IN COMPUTER SCIENCE)

Terence Soule, Simon M. Lucas, Maarten Keijzer, 2004 .

Data Dieting in GAN Training pdf

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

Evolutionary Approaches To Minimizing Network Coding Resources

Muriel Médard, Una-May O'Reilly, Varun Aggarwal, 2007, IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications.

ConstrainedGenetic Programming toMinimizeOverfitting in StockSelection

Peng Fei, Una-May O'Reilly, Minkyu Kim, 2009 .

On learning to generate wind farm layouts

Emmanuel Awa, Sylvain Cussat-Blanc, Kalyan Veeramachaneni, 2013, GECCO '13.

Genetic programming: a tutorial introduction

Una-May O'Reilly, Una-May O’Reilly, 2011, GECCO.

Securing the software defined perimeter with evolutionary co-optimization

Una-May O'Reilly, Erik Hemberg, Michal Shlapentokh-Rothman, 2020, GECCO Companion.

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.

FlexGP.py: Prototyping Flexibly-Scaled, Flexibly-Factored Genetic Programming for the Cloud

Kalyan Veeramachaneni, Una-May O'Reilly, James McDermott, 2013 .

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).

Developing Data Standards and Systems for MOOC Data Science

Zachary A. Pardos, Franck Dernoncourt, Kalyan Veeramachaneni, 2013, AIED Workshops.

Genetic Programming Theory and Practice VII

Trent McConaghy, Una-May O'Reilly, Rick L. Riolo, 2009 .

A Library to Run Evolutionary Algorithms in the Cloud Using MapReduce

Una-May O'Reilly, James McDermott, Pedro Fazenda, 2012, EvoApplications.

Program Search with a Hierarchical Variable Lenght Representation: Genetic Programming, Simulated Annealing and Hill Climbing

Una-May O'Reilly, Franz Oppacher, Una-May O’Reilly, 1994, PPSN.

Feature extraction from optimization samples via ensemble based symbolic regression

Kalyan Veeramachaneni, Una-May O'Reilly, Ekaterina Vladislavleva, 2011, Annals of Mathematics and Artificial Intelligence.

On Visual Hallmarks of Robustness to Adversarial Malware pdf

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

Technology for Mining the Big Data of MOOCs.

Kalyan Veeramachaneni, Una-May O'Reilly, 2014 .

The Troubling Aspects of a Building Block Hypothesis for Genetic Programming

Una-May O'Reilly, Franz Oppacher, Una-May O’Reilly, 1994, FOGA.

Learning a goal-oriented model for energy efficient adaptive applications in data centers

Barbara Pernici, Una-May O'Reilly, Monica Vitali, 2015, Inf. Sci..

Siblingrivalry: online autotuning through local competitions

Una-May O'Reilly, Marek Olszewski, Saman P. Amarasinghe, 2012, CASES '12.

There are No Bit Parts for Sign Bits in Black-Box Attacks pdf

Una-May O'Reilly, Abdullah Al-Dujaili, 2019, ArXiv.

Network coding in optical networks with O/E/O based wavelength conversion

Muriel Medard, Una-May O'Reilly, Minkyu Kim, 2010, 2010 Conference on Optical Fiber Communication (OFC/NFOEC), collocated National Fiber Optic Engineers Conference.

Transfer Learning using Representation Learning in Massive Open Online Courses

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

Cloud Driven Design of a Distributed Genetic Programming Platform

Kalyan Veeramachaneni, Una-May O'Reilly, Owen Derby, 2013, EvoApplications.

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.

Emergent design: opportunities for agent-based and evolutionary computation

Una-May O'Reilly, 2004 .

OpenTuner: An extensible framework for program autotuning

Shoaib Kamil, Kalyan Veeramachaneni, Una-May O'Reilly, 2014, 2014 23rd International Conference on Parallel Architecture and Compilation (PACT).

An investigation of local patterns for estimation of distribution genetic programming

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

A Knowledge-Based Operator for a Genetic Algorithm which Optimizes the Distribution of Sparse Matrix Data

Una-May O'Reilly, Nadya T. Bliss, Julie Mullen, 2012, Parallel Architectures and Bioinspired Algorithms.

Genetic Programming II: Automatic Discovery of Reusable Programs.

Una-May O'Reilly, Una-May O’Reilly, 1994, Artificial Life.

The Expressiveness of Silence: Tight Bounds for Synchronous Communication of Information Using Bits and Silence

Una-May O'Reilly, Nicola Santoro, 1992, WG.

GENR8 - A Design Tool for Surface Generation

Peter Nordin, Una-May O'Reilly, Martin Hemberg, 2001 .

BUILDING-BLOCK SUPPLY IN GENETIC PROGRAMMING

David E. Goldberg, David J. Hill, Kumara Sastry, 2003 .

Simulation-based reusable posynomial models for MOS transistor parameters

Una-May O'Reilly, Varun Aggarwal, Una-May O’Reilly, 2007, 2007 Design, Automation & Test in Europe Conference & Exhibition.

Maintenance of a Long Running Distributed Genetic Programming System for Solving Problems Requiring Big Data

Una-May O'Reilly, Erik Hemberg, Hormoz Shahrzad, 2013, GPTP.

Sign Bits Are All You Need for Black-Box Attacks

Una-May O'Reilly, Abdullah Al-Dujaili, Una-May O’Reilly, 2020, ICLR.

Genetic programming: a tutorial introduction

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

Analyzing Student Code Trajectories in an Introductory Programming MOOC

Una-May O'Reilly, Erik Hemberg, Ayesha Bajwa, 2019, LWMOOCS.

Learning regression ensembles with genetic programming at scale

Kalyan Veeramachaneni, Una-May O'Reilly, Dylan Sherry, 2013, GECCO '13.

Where Does the Good Stuff Go, and Why? How Contextual Semantics Influences Program Structure in Simple Genetic Programming

David E. Goldberg, Una-May O'Reilly, D. Goldberg, 1998, EuroGP.

Asynchronous to Synchronous transformations

Una-May O'Reilly, Nicola Santoro, 2000, OPODIS.

GPTP 2009: An Example of Evolvability

Trent McConaghy, Una-May O'Reilly, Rick L. Riolo, 2010 .

An Evolutionary Approach To Inter-Session Network Coding

Muriel Médard, Una-May O'Reilly, Minkyu Kim, 2009, IEEE INFOCOM 2009.

Automating Cyber Threat Hunting Using NLP, Automated Query Generation, and Genetic Perturbation pdf

Una-May O'Reilly, Erik Hemberg, Prakruthi Karuna, 2021, ArXiv.

Genetic programming: a tutorial introduction

Una-May O'Reilly, Erik Hemberg, 2021, GECCO Companion.

Simulating a logistics enterprise using an asymmetrical wargame simulation with soar reinforcement learning and coevolutionary algorithms

Ying Zhao, Una-May O'Reilly, Erik Hemberg, 2021, GECCO Companion.

Fostering Diversity in Spatial Evolutionary Generative Adversarial Networks pdf

Una-May O'Reilly, Erik Hemberg, Jamal Toutouh, 2021, ArXiv.

Using a Collated Cybersecurity Dataset for Machine Learning and Artificial Intelligence pdf

Una-May O'Reilly, Erik Hemberg, Una-May O’Reilly, 2021, ArXiv.

Coevolutionary computation for adversarial deep learning

Una-May O'Reilly, Jamal Toutouh, Una-May O’Reilly, 2021, GECCO Companion.

Using knowledge of human-generated code to bias the search in program synthesis with grammatical evolution

Franz Rothlauf, Una-May O'Reilly, Erik Hemberg, 2021, GECCO Companion.

Coevolutionary modeling of cyber attack patterns and mitigations using public datasets

Una-May O'Reilly, Erik Hemberg, Jonathan Kelly, 2021, GECCO.

Analyzing Student Reflection Sentiments and Problem-Solving Procedures in MOOCs

Una-May O'Reilly, Erik Hemberg, Ana Bell, 2021, L@S.

Signal propagation in a gradient-based and evolutionary learning system

Una-May O'Reilly, Jamal Toutouh, Una-May O’Reilly, 2021, GECCO.

Generating Adversarial Computer Programs using Optimized Obfuscations pdf

Quanfu Fan, Shiyu Chang, Una-May O'Reilly, 2021, ICLR.

Evaluating efficacy of indoor non-pharmaceutical interventions against COVID-19 outbreaks with a coupled spatial-SIR agent-based simulation framework pdf

Una-May O'Reilly, Erik Hemberg, Chathika Gunaratne, 2021, Scientific Reports.

Designing a Humanoid Robot Face to Fulfill a Social Contract

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Agency-GP : Agent-Based Genetic Programming for Design

Una-May O'Reilly, Peter Testa, 2002 .

Using Building Block Functions to Investigate a Building Block Hypothesis for Genetic

Una-May O'Reilly, Franz Oppacher, Una-May O’Reilly, 1994 .