Una-May O'Reilly

250 papers A* 10A 45B 37C 3Misc 1Journal 66Unranked 81

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ALFA-Chains: AI-Supported Discovery of Privilege Escalation and Remote Exploit Chains. CoRR Miguel Tulla, Andrea Vignali, Christian Colon, Giancarlo Sperlì, Simon Pietro Romano, Masataro Asai, Una-May O'Reilly, Erik Hemberg
2025	—	`conf`	Coevolutionary Computation for Adversarial Deep Learning. GECCO Companion Jamal Toutouh, Una-May O'Reilly
2025	—	`conf`	Evolutionary and Coevolutionary Multi-Agent Design Choices and Dynamics. GECCO Companion Erik Hemberg, Stephen Moskal, Una-May O'Reilly, Eric Liu, Lucille Fuller
2025	J	`jnl`	Evolutionary and Coevolutionary Multi-Agent Design Choices and Dynamics. CoRR Erik Hemberg, Eric Liu, Lucille Fuller, Stephen Moskal, Una-May O'Reilly
2025	A	`conf`	Guiding Evolutionary AutoEncoder Training with Activation-Based Pruning Operators. GECCO Steven Jorgensen, Erik Hemberg, Jamal Toutouh, Una-May O'Reilly
2025	J	`jnl`	Guiding Evolutionary AutoEncoder Training with Activation-Based Pruning Operators. CoRR Steven Jorgensen, Erik Hemberg, Jamal Toutouh, Una-May O'Reilly
2025	—	`conf`	LLM-Supported Natural Language to Bash Translation. NAACL (Long Papers) Finnian Westenfelder, Erik Hemberg, Stephen Moskal, Una-May O'Reilly, Silviu Chiricescu
2025	J	`jnl`	LLM-Supported Natural Language to Bash Translation. CoRR Finnian Westenfelder, Erik Hemberg, Miguel Tulla, Stephen Moskal, Una-May O'Reilly, Silviu Chiricescu
2025	A	`conf`	Runtime Bounds for a Coevolutionary Algorithm on Classes of Potential Games. FOGA Mario Alejandro Hevia Fajardo, Jamal Toutouh, Erik Hemberg, Una-May O'Reilly, Per Kristian Lehre
2024	A	`conf`	A Self-adaptive Coevolutionary Algorithm. GECCO Mario Alejandro Hevia Fajardo, Erik Hemberg, Jamal Toutouh, Una-May O'Reilly, Per Kristian Lehre
2024	A	`conf`	Coevolution in Natural and Artificial Systems. GECCO Una-May O'Reilly
2024	—	`conf`	Coevolutionary Computation for Adversarial Deep Learning. GECCO Companion Jamal Toutouh, Una-May O'Reilly
2024	A	`conf`	Cooperative Coevolutionary Spatial Topologies for Autoencoder Training. GECCO Erik Hemberg, Una-May O'Reilly, Jamal Toutouh
2024	J	`jnl`	Enhancements to Threat, Vulnerability, and Mitigation Knowledge for Cyber Analytics, Hunting, and Simulations. DTRAP Erik Hemberg, Matthew J. Turner, Nick Rutar, Una-May O'Reilly
2024	J	`jnl`	Evolving Code with A Large Language Model. CoRR Erik Hemberg, Stephen Moskal, Una-May O'Reilly
2024	J	`jnl`	Evolving code with a large language model. Genet. Program. Evolvable Mach. Erik Hemberg, Stephen Moskal, Una-May O'Reilly
2024	A	`conf`	Large Language Model-based Test Case Generation for GP Agents. GECCO Steven Jorgensen, Giorgia Nadizar, Gloria Pietropolli, Luca Manzoni, Eric Medvet, Una-May O'Reilly, Erik Hemberg
2024	—	`conf`	Using Large Language Models for Evolutionary Search. GECCO Companion Una-May O'Reilly, Erik Hemberg
2023	J	`jnl`	Adversarial agent-learning for cybersecurity: a comparison of algorithms. Knowl. Eng. Rev. Alexander Shashkov, Erik Hemberg, Miguel Tulla, Una-May O'Reilly
2023	A	`conf`	Analysis of a Pairwise Dominance Coevolutionary Algorithm And DefendIt. GECCO Per Kristian Lehre, Mario Alejandro Hevia Fajardo, Jamal Toutouh, Erik Hemberg, Una-May O'Reilly
2023	—	`conf`	Analysis of a Pairwise Dominance Coevolutionary Algorithm with Spatial Topology. GPTP Mario Alejandro Hevia Fajardo, Per Kristian Lehre, Jamal Toutouh, Erik Hemberg, Una-May O'Reilly
2023	A	`conf`	ClawSAT: Towards Both Robust and Accurate Code Models. SANER Jinghan Jia, Shashank Srikant, Tamara Mitrovska, Chuang Gan, Shiyu Chang, Sijia Liu, Una-May O'Reilly
2023	—	`conf`	Coevolutionary Computation for Adversarial Deep Learning. GECCO Companion Jamal Toutouh, Una-May O'Reilly
2023	—	`conf`	Genetic Programming and Coevolution to Play the Bomberman™ Video Game. EvoApplications@EvoStar Robert Gold, Henrique Branquinho, Erik Hemberg, Una-May O'Reilly, Pablo García-Sánchez
2023	—	`conf`	Genetic Programming: A Tutorial Introduction. GECCO Companion Una-May O'Reilly, Erik Hemberg
2023	A	`conf`	Investigating Student's Problem-solving Approaches in MOOCs using Natural Language Processing. LAK ByeongJo Kong, Erik Hemberg, Ana Bell, Una-May O'Reilly
2023	J	`jnl`	LLMs Killed the Script Kiddie: How Agents Supported by Large Language Models Change the Landscape of Network Threat Testing. CoRR Stephen Moskal, Sam Laney, Erik Hemberg, Una-May O'Reilly
2023	J	`jnl`	Program Comprehension Does Not Primarily Rely On the Language Centers of the Human Brain. CoRR Shashank Srikant, Anna A. Ivanova, Yotaro Sueoka, Hope H. Kean, Riva Dhamala, Evelina Fedorenko, Marina U. Bers, Una-May O'Reilly
2023	—	`conf`	RaceInjector: Injecting Races to Evaluate and Learn Dynamic Race Detection Algorithms. SOAP@PLDI Michael Wang, Shashank Srikant, Malavika Samak, Una-May O'Reilly
2023	A	`conf`	Semi-Supervised Learning with Coevolutionary Generative Adversarial Networks. GECCO Jamal Toutouh, Subhash Nalluru, Erik Hemberg, Una-May O'Reilly
2023	J	`jnl`	Semi-supervised generative adversarial networks with spatial coevolution for enhanced image generation and classification. Appl. Soft Comput. Jamal Toutouh, Subhash Nalluru, Erik Hemberg, Una-May O'Reilly
2023	J	`jnl`	The Facebook Algorithm's Active Role in Climate Advertisement Delivery. CoRR Aruna Sankaranarayanan, Erik Hemberg, Una-May O'Reilly
2022	A	`conf`	Analyzing multi-agent reinforcement learning and coevolution in cybersecurity. GECCO Matthew J. Turner, Erik Hemberg, Una-May O'Reilly
2022	J	`jnl`	CLAWSAT: Towards Both Robust and Accurate Code Models. CoRR Jinghan Jia, Shashank Srikant, Tamara Mitrovska, Chuang Gan, Shiyu Chang, Sijia Liu, Una-May O'Reilly
2022	—	`conf`	Coevolutionary computation for adversarial deep learning. GECCO Companion Jamal Toutouh, Una-May O'Reilly
2022	A	`conf`	Coevolutionary generative adversarial networks for medical image augumentation at scale. GECCO Diana Flores, Erik Hemberg, Jamal Toutouh, Una-May O'Reilly
2022	—	`conf`	Computer Code Representation through Natural Language Processing for fMRI Data Analysis. ICAIIC Jaeyoon Kim, Una-May O'Reilly, Junhee Seok
2022	A*	`conf`	Convergent Representations of Computer Programs in Human and Artificial Neural Networks. NeurIPS Shashank Srikant, Ben Lipkin, Anna A. Ivanova, Evelina Fedorenko, Una-May O'Reilly
2022	—	`conf`	CyberEvo: evolutionary search of knowledge-based behaviors in a cyber attack campaign. GECCO Companion Stephen Moskal, Erik Hemberg, Una-May O'Reilly
2022	—	`conf`	Entropy-Based Characterization of Influence Pathways in Traditional and Social Media. CIC Özlem Özmen Garibay, Niloofar Yousefi, Kevin Aslett, Jacopo A. Baggio, Erik Hemberg, Chathura Jayalath, Alexander V. Mantzaris, Bruce Miller, Una-May O'Reilly, William Rand, Chathurani Senevirathna, Ivan Garibay
2022	B	`conf`	Exploiting Knowledge from Code to Guide Program Search. EuroGP Dirk Schweim, Erik Hemberg, Dominik Sobania, Una-May O'Reilly
2022	—	`conf`	GUI-Based, Efficient Genetic Programming and AI Planning for Unity3D. GPTP Robert Gold, Andrew Haydn Grant, Erik Hemberg, Chathika Gunaratne, Una-May O'Reilly
2022	—	`conf`	GUI-based, efficient genetic programming for Unity3D. GECCO Companion Robert Gold, Andrew Haydn Grant, Erik Hemberg, Chathika Gunaratne, Una-May O'Reilly
2022	B	`conf`	Synthesizing Programs from Program Pieces Using Genetic Programming and Refinement Type Checking. EuroGP Sabrina Tseng, Erik Hemberg, Una-May O'Reilly
2022	—	`conf`	Using domain knowledge in coevolution and reinforcement learning to simulate a logistics enterprise. GECCO Companion Ying Zhao, Erik Hemberg, Nate Derbinsky, Gabino Mata, Una-May O'Reilly
2021	B	`conf`	Analyzing Student Reflection Sentiments and Problem-Solving Procedures in MOOCs. L@S Alexander Shashkov, Robert Gold, Erik Hemberg, ByeongJo Kong, Ana Bell, Una-May O'Reilly
2021	J	`jnl`	Automating Cyber Threat Hunting Using NLP, Automated Query Generation, and Genetic Perturbation. CoRR Prakruthi Karuna, Erik Hemberg, Una-May O'Reilly, Nick Rutar
2021	—	`conf`	Coevolutionary computation for adversarial deep learning. GECCO Companion Jamal Toutouh, Una-May O'Reilly
2021	A	`conf`	Coevolutionary modeling of cyber attack patterns and mitigations using public datasets. GECCO Michal Shlapentokh-Rothman, Jonathan Kelly, Avital Baral, Erik Hemberg, Una-May O'Reilly
2021	J	`jnl`	Evaluating Efficacy of Indoor Non-Pharmaceutical Interventions against COVID-19 Outbreaks with a Coupled Spatial-SIR Agent-Based Simulation Framework. CoRR Chathika Gunaratne, Rene Reyes, Erik Hemberg, Una-May O'Reilly
2021	J	`jnl`	Fostering Diversity in Spatial Evolutionary Generative Adversarial Networks. CoRR Jamal Toutouh, Erik Hemberg, Una-May O'Reilly
2021	A*	`conf`	Generating Adversarial Computer Programs using Optimized Obfuscations. ICLR Shashank Srikant, Sijia Liu, Tamara Mitrovska, Shiyu Chang, Quanfu Fan, Gaoyuan Zhang, Una-May O'Reilly
2021	J	`jnl`	Generating Adversarial Computer Programs using Optimized Obfuscations. CoRR Shashank Srikant, Sijia Liu, Tamara Mitrovska, Shiyu Chang, Quanfu Fan, Gaoyuan Zhang, Una-May O'Reilly
2021	—	`conf`	Genetic programming: a tutorial introduction. GECCO Companion Una-May O'Reilly, Erik Hemberg
2021	B	`conf`	Getting a Head Start on Program Synthesis with Genetic Programming. EuroGP Jordan Wick, Erik Hemberg, Una-May O'Reilly
2021	J	`jnl`	Proceedings - AI/ML for Cybersecurity: Challenges, Solutions, and Novel Ideas at SIAM Data Mining 2021. CoRR John Emanuello, Kimberly Ferguson-Walter, Erik Hemberg, Una-May O'Reilly, Ahmad Ridley, Dennis Ross, Diane Staheli, William W. Streilein
2021	B	`ed.`	Search-Based Software Engineering - 13th International Symposium, SSBSE 2021, Bari, Italy, October 11-12, 2021, Proceedings SSBSE Una-May O'Reilly, Xavier Devroey
2021	J	`jnl`	Signal Propagation in a Gradient-Based and Evolutionary Learning System. CoRR Jamal Toutouh, Una-May O'Reilly
2021	A	`conf`	Signal propagation in a gradient-based and evolutionary learning system. GECCO Jamal Toutouh, Una-May O'Reilly
2021	—	`conf`	Simulating a logistics enterprise using an asymmetrical wargame simulation with soar reinforcement learning and coevolutionary algorithms. GECCO Companion Ying Zhao, Erik Hemberg, Nate Derbinsky, Gabino Mata, Una-May O'Reilly
2021	J	`jnl`	Spatial Coevolution for Generative Adversarial Network Training. ACM Trans. Evol. Learn. Optim. Erik Hemberg, Jamal Toutouh, Abdullah Al-Dujaili, Tom Schmiedlechner, Una-May O'Reilly
2021	J	`jnl`	Using a Collated Cybersecurity Dataset for Machine Learning and Artificial Intelligence. CoRR Erik Hemberg, Una-May O'Reilly
2021	—	`conf`	Using knowledge of human-generated code to bias the search in program synthesis with grammatical evolution. GECCO Companion Dirk Schweim, Erik Hemberg, Dominik Sobania, Una-May O'Reilly, Franz Rothlauf
2020	J	`jnl`	Adversarial Genetic Programming for Cyber Security: A Rising Application Domain Where GP Matters. CoRR Una-May O'Reilly, Jamal Toutouh, Marcos A. Pertierra, Daniel Prado Sanchez, Dennis Garcia, Anthony Erb Lugo, Jonathan Kelly, Erik Hemberg
2020	J	`jnl`	Adversarial genetic programming for cyber security: a rising application domain where GP matters. Genet. Program. Evolvable Mach. Una-May O'Reilly, Jamal Toutouh, Marcos A. Pertierra, Daniel Prado Sanchez, Dennis Garcia, Anthony Erb Lugo, Jonathan Kelly, Erik Hemberg
2020	B	`conf`	Analyzing K-12 Blended MOOC Learning Behaviors. L@S Robert Gold, Erik Hemberg, Una-May O'Reilly
2020	B	`conf`	Analyzing Pre-Existing Knowledge and Performance in a Programming MOOC. L@S Hannah Burd, Ana Bell, Erik Hemberg, Una-May O'Reilly
2020	—	`conf`	Analyzing the Components of Distributed Coevolutionary GAN Training. PPSN (1) Jamal Toutouh, Erik Hemberg, Una-May O'Reilly
2020	J	`jnl`	Analyzing the Components of Distributed Coevolutionary GAN Training. CoRR Jamal Toutouh, Erik Hemberg, Una-May O'Reilly
2020	J	`jnl`	BRON - Linking Attack Tactics, Techniques, and Patterns with Defensive Weaknesses, Vulnerabilities and Affected Platform Configurations. CoRR Erik Hemberg, Jonathan Kelly, Michal Shlapentokh-Rothman, Bryn Marie Reinstadler, Katherine Xu, Nick Rutar, Una-May O'Reilly
2020	J	`jnl`	Data Dieting in GAN Training. CoRR Jamal Toutouh, Una-May O'Reilly, Erik Hemberg
2020	—	`ch.`	Data Dieting in GAN Training. Deep Neural Evolution Jamal Toutouh, Erik Hemberg, Una-May O'Reilly
2020	J	`jnl`	Dependency-Based Neural Representations for Classifying Lines of Programs. CoRR Shashank Srikant, Nicolas Lesimple, Una-May O'Reilly
2020	—	`ch.`	Exploring Adversarial Artificial Intelligence for Autonomous Adaptive Cyber Defense. Adaptive Autonomous Secure Cyber Systems Erik Hemberg, Linda Zhang, Una-May O'Reilly
2020	—	`conf`	Genetic programming: a tutorial introduction. GECCO Companion Una-May O'Reilly, Erik Hemberg
2020	A*	`conf`	Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks. ICML Sijia Liu, Songtao Lu, Xiangyi Chen, Yao Feng, Kaidi Xu, Abdullah Al-Dujaili, Mingyi Hong, Una-May O'Reilly
2020	—	`conf`	Parallel/distributed implementation of cellular training for generative adversarial neural networks. IPDPS Workshops Emiliano Pérez, Sergio Nesmachnow, Jamal Toutouh, Erik Hemberg, Una-May O'Reilly
2020	J	`jnl`	Parallel/distributed implementation of cellular training for generative adversarial neural networks. CoRR Emiliano Pérez, Sergio Nesmachnow, Jamal Toutouh, Erik Hemberg, Una-May O'Reilly
2020	J	`jnl`	Re-purposing Heterogeneous Generative Ensembles with Evolutionary Computation. CoRR Jamal Toutouh, Erik Hemberg, Una-May O'Reilly
2020	A	`conf`	Re-purposing heterogeneous generative ensembles with evolutionary computation. GECCO Jamal Toutouh, Erik Hemberg, Una-May O'Reilly
2020	J	`jnl`	STRATA: Building Robustness with a Simple Method for Generating Black-box Adversarial Attacks for Models of Code. CoRR Jacob M. Springer, Bryn Marie Reinstadler, Una-May O'Reilly
2020	—	`conf`	Securing the software defined perimeter with evolutionary co-optimization. GECCO Companion Michal Shlapentokh-Rothman, Erik Hemberg, Una-May O'Reilly
2020	A*	`conf`	Sign Bits Are All You Need for Black-Box Attacks. ICLR Abdullah Al-Dujaili, Una-May O'Reilly
2020	—	`conf`	The Robust Malware Detection Challenge and Greedy Random Accelerated Multi-Bit Search. AISec@CCS Sicco Verwer, Azqa Nadeem, Christian A. Hammerschmidt, Laurens Bliek, Abdullah Al-Dujaili, Una-May O'Reilly
2020	B	`conf`	Understanding Learner Behavior Through Learning Design Informed Learning Analytics. L@S Hao Shen, Leming Liang, Nancy Law, Erik Hemberg, Una-May O'Reilly
2019	B	`conf`	Adversarially Adapting Deceptive Views and Reconnaissance Scans on a Software Defined Network. IM Jonathan Kelly, Michael DeLaus, Erik Hemberg, Una-May O'Reilly
2019	—	`conf`	Analyzing Student Code Trajectories in an Introductory Programming MOOC. LWMOOCS Ayesha Bajwa, Ana Bell, Erik Hemberg, Una-May O'Reilly
2019	—	`conf`	Categorizing Resources and Learners for a Finer-Grained Analysis of MOOC Viewing & Doing. LWMOOCS Erik Hemberg, Sagar Biswas, Ayesha Bajwa, Nancy Law, Una-May O'Reilly
2019	—	`conf`	How Student Background and Topic Impact the Doer Effect in Computational Thinking MOOCs. LWMOOCS Jitesh Maiyuran, Ayesha Bajwa, Ana Bell, Erik Hemberg, Una-May O'Reilly
2019	B	`conf`	Improving Genetic Programming with Novel Exploration - Exploitation Control. EuroGP Jonathan Kelly, Erik Hemberg, Una-May O'Reilly
2019	—	`conf`	Introduction to genetic programming. GECCO (Companion) Una-May O'Reilly, Erik Hemberg
2019	B	`conf`	Investigating Learning Design Categorization and Learning Behaviour in Computational MOOCS. L@S Sagar Biswas, Nancy Law, Erik Hemberg, Una-May O'Reilly
2019	J	`jnl`	Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML. CoRR Sijia Liu, Songtao Lu, Xiangyi Chen, Yao Feng, Kaidi Xu, Abdullah Al-Dujaili, Mingyi Hong, Una-May O'Reilly
2019	A	`conf`	On domain knowledge and novelty to improve program synthesis performance with grammatical evolution. GECCO Erik Hemberg, Jonathan Kelly, Una-May O'Reilly
2019	B	`conf`	On the Influence of Grades on Learning Behavior of Students in MOOCs. L@S Li Wang, Erik Hemberg, Una-May O'Reilly
2019	J	`jnl`	Spatial Evolutionary Generative Adversarial Networks. CoRR Jamal Toutouh, Erik Hemberg, Una-May O'Reilly
2019	A	`conf`	Spatial evolutionary generative adversarial networks. GECCO Jamal Toutouh, Erik Hemberg, Una-May O'Reilly
2019	B	`conf`	Student Code Trajectories in an Introductory Programming MOOC. L@S Ayesha Bajwa, Erik Hemberg, Ana Bell, Una-May O'Reilly
2019	—	`conf`	The Influence of Grades on Learning Behavior in MOOCs: Certification vs, Continued Participation. LWMOOCS Li Wang, Erik Hemberg, Una-May O'Reilly
2019	J	`jnl`	There are No Bit Parts for Sign Bits in Black-Box Attacks. CoRR Abdullah Al-Dujaili, Una-May O'Reilly
2019	A	`conf`	Transfer Learning using Representation Learning in Massive Open Online Courses. LAK Mucong Ding, Yanbang Wang, Erik Hemberg, Una-May O'Reilly
2019	A	`conf`	Using Detailed Access Trajectories for Learning Behavior Analysis. LAK Yanbang Wang, Nancy Law, Erik Hemberg, Una-May O'Reilly
2018	A*	`conf`	AST-Based Deep Learning for Detecting Malicious PowerShell. CCS Gili Rusak, Abdullah Al-Dujaili, Una-May O'Reilly
2018	J	`jnl`	AST-Based Deep Learning for Detecting Malicious PowerShell. CoRR Gili Rusak, Abdullah Al-Dujaili, Una-May O'Reilly
2018	—	`conf`	Adversarial Deep Learning for Robust Detection of Binary Encoded Malware. IEEE Symposium on Security and Privacy Workshops Abdullah Al-Dujaili, Alex Huang, Erik Hemberg, Una-May O'Reilly
2018	J	`jnl`	Adversarial Deep Learning for Robust Detection of Binary Encoded Malware. CoRR Alex Huang, Abdullah Al-Dujaili, Erik Hemberg, Una-May O'Reilly
2018	—	`conf`	Adversarial co-evolution of attack and defense in a segmented computer network environment. GECCO (Companion) Erik Hemberg, Joseph R. Zipkin, Richard William Skowyra, Neal Wagner, Una-May O'Reilly
2018	—	`conf`	An Artificial Coevolutionary Framework for Adversarial AI. AAAI Fall Symposium: ALEC Una-May O'Reilly, Erik Hemberg
2018	J	`jnl`	Approximating Nash Equilibria for Black-Box Games: A Bayesian Optimization Approach. CoRR Abdullah Al-Dujaili, Erik Hemberg, Una-May O'Reilly
2018	—	`conf`	Competitive coevolutionary algorithm decision support. GECCO (Companion) Daniel Prado Sanchez, Marcos A. Pertierra, Erik Hemberg, Una-May O'Reilly
2018	—	`conf`	Exploring the Use of Autoencoders for Botnets Traffic Representation. IEEE Symposium on Security and Privacy Workshops Ruggiero Dargenio, Shashank Srikant, Erik Hemberg, Una-May O'Reilly
2018	—	`conf`	Genetic programming: a tutorial introduction. GECCO (Companion) Una-May O'Reilly
2018	—	`ch.`	Grammatical Evolution with Coevolutionary Algorithms in Cyber Security. Handbook of Grammatical Evolution Erik Hemberg, Anthony Erb Lugo, Dennis Garcia, Una-May O'Reilly
2018	J	`jnl`	Lipizzaner: A System That Scales Robust Generative Adversarial Network Training. CoRR Tom Schmiedlechner, Ignavier Ng Zhi Yong, Abdullah Al-Dujaili, Erik Hemberg, Una-May O'Reilly
2018	J	`jnl`	Multivariate Time-series Similarity Assessment via Unsupervised Representation Learning and Stratified Locality Sensitive Hashing: Application to Early Acute Hypotensive Episode Detection. CoRR Jwala Dhamala, Emmanuel Azuh, Abdullah Al-Dujaili, Jonathan Rubin, Una-May O'Reilly
2018	J	`jnl`	On Visual Hallmarks of Robustness to Adversarial Malware. CoRR Alex Huang, Abdullah Al-Dujaili, Erik Hemberg, Una-May O'Reilly
2018	J	`jnl`	On the Application of Danskin's Theorem to Derivative-Free Minimax Optimization. CoRR Abdullah Al-Dujaili, Shashank Srikant, Erik Hemberg, Una-May O'Reilly
2018	J	`jnl`	Towards Distributed Coevolutionary GANs. CoRR Tom Schmiedlechner, Abdullah Al-Dujaili, Erik Hemberg, Una-May O'Reilly
2018	J	`jnl`	Transfer Learning using Representation Learning in Massive Open Online Courses. CoRR Mucong Ding, Yanbang Wang, Erik Hemberg, Una-May O'Reilly
2018	J	`jnl`	Using Detailed Access Trajectories for Learning Behavior Analysis. CoRR Yanbang Wang, Nancy Law, Erik Hemberg, Una-May O'Reilly
2017	—	`conf`	Collision frequency locality-sensitive hashing for prediction of critical events. EMBC Yongwook Bryce Kim, Erik Hemberg, Una-May O'Reilly
2017	—	`conf`	CryptoBench: benchmarking evolutionary algorithms with cryptographic problems. GECCO (Companion) Stjepan Picek, Domagoj Jakobovic, Una-May O'Reilly
2017	—	`conf`	Developing proactive defenses for computer networks with coevolutionary genetic algorithms. GECCO (Companion) Anthony Erb Lugo, Dennis Garcia, Erik Hemberg, Una-May O'Reilly
2017	J	`jnl`	Distributed Stratified Locality Sensitive Hashing for Critical Event Prediction in the Cloud. CoRR Alessandro De Palma, Erik Hemberg, Una-May O'Reilly
2017	—	`conf`	Exploiting Subprograms in Genetic Programming. GPTP Steven B. Fine, Erik Hemberg, Krzysztof Krawiec, Una-May O'Reilly
2017	—	`conf`	Genetic programming: a tutorial introduction. GECCO (Companion) Una-May O'Reilly
2017	—	`conf`	If You Can't Measure It, You Can't Improve It: Moving Target Defense Metrics. MTD@CCS Stjepan Picek, Erik Hemberg, Una-May O'Reilly
2017	—	`conf`	Investigating coevolutionary archive based genetic algorithms on cyber defense networks. GECCO (Companion) Dennis Garcia, Anthony Erb Lugo, Erik Hemberg, Una-May O'Reilly
2017	—	`conf`	Machine learning or discrete choice models for car ownership demand estimation and prediction? MT-ITS Miguel Paredes, Erik Hemberg, Una-May O'Reilly, Chris Zegras
2017	—	`conf`	One-Class Classification of Low Volume DoS Attacks with Genetic Programming. GPTP Stjepan Picek, Erik Hemberg, Domagoj Jakobovic, Una-May O'Reilly
2017	C	`ed.`	Proceedings of the 9th International Joint Conference on Computational Intelligence, IJCCI 2017, Funchal, Madeira, Portugal, November 1-3, 2017. IJCCI Christophe Sabourin, Juan Julián Merelo Guervós, Una-May O'Reilly, Kurosh Madani, Kevin Warwick
2017	—	`conf`	Towards Formalizing Statute Law as Default Logic through Automatic Semantic Parsing. ASAIL@ICAIL Marcos A. Pertierra, Sarah Lawsky, Erik Hemberg, Una-May O'Reilly
2017	—	`conf`	Towards evolutionary machine learning comparison, competition, and collaboration with a multi-cloud platform. GECCO (Companion) Pasquale Salza, Erik Hemberg, Filomena Ferrucci, Una-May O'Reilly
2017	—	`conf`	cCube: a cloud microservices architecture for evolutionary machine learning classification. GECCO (Companion) Pasquale Salza, Erik Hemberg, Filomena Ferrucci, Una-May O'Reilly
2016	—	`conf`	Analysis of locality-sensitive hashing for fast critical event prediction on physiological time series. EMBC Yongwook Bryce Kim, Una-May O'Reilly
2016	J	`jnl`	Detecting tax evasion: a co-evolutionary approach. Artif. Intell. Law Erik Hemberg, Jacob B. Rosen, Geoff Warner, Sanith Wijesinghe, Una-May O'Reilly
2016	—	`conf`	Dynamics of Adversarial Co-evolution in Tax Non-Compliance Detection. GECCO (Companion) Jacob B. Rosen, Erik Hemberg, Una-May O'Reilly
2016	—	`conf`	Genetic Programming: A Tutorial Introduction. GECCO (Companion) Una-May O'Reilly
2016	—	`conf`	Investigating Multi-Population Competitive Coevolution for Anticipation of Tax Evasion. GPTP Erik Hemberg, Jacob B. Rosen, Una-May O'Reilly
2016	—	`conf`	Multi-Line Batch Scheduling by Similarity. GECCO (Companion) Ignacio Arnaldo, Erik Hemberg, Una-May O'Reilly
2016	—	`conf`	STEALTH: Modeling Coevolutionary Dynamics of Tax Evasion and Auditing. KDIR Una-May O'Reilly
2016	—	`conf`	STEALTH: Modeling Coevolutionary Dynamics of Tax Evasion and Auditing. IJCCI (ECTA) Una-May O'Reilly
2016	—	`conf`	Stratified locality-sensitive hashing for accelerated physiological time series retrieval. EMBC Yongwook Bryce Kim, Erik Hemberg, Una-May O'Reilly
2015	A*	`conf`	Autotuning algorithmic choice for input sensitivity. PLDI Yufei Ding, Jason Ansel, Kalyan Veeramachaneni, Xipeng Shen, Una-May O'Reilly, Saman P. Amarasinghe
2015	—	`conf`	Behavioral Program Synthesis: Insights and Prospects. GPTP Krzysztof Krawiec, Jerry Swan, Una-May O'Reilly
2015	J	`jnl`	Bring Your Own Learner: A Cloud-Based, Data-Parallel Commons for Machine Learning. IEEE Comput. Intell. Mag. Ignacio Arnaldo, Kalyan Veeramachaneni, Andrew Song, Una-May O'Reilly
2015	A	`conf`	Building Predictive Models via Feature Synthesis. GECCO Ignacio Arnaldo, Una-May O'Reilly, Kalyan Veeramachaneni
2015	A	`conf`	Computer Aided Tax Evasion Policy Analysis: Directed Search using Autonomous Agents. AAMAS Jacob B. Rosen, Erik Hemberg, Geoff Warner, Sanith Wijesinghe, Una-May O'Reilly
2015	A*	`conf`	Copula Graphical Models for Wind Resource Estimation. IJCAI Kalyan Veeramachaneni, Alfredo Cuesta-Infante, Una-May O'Reilly
2015	B	`conf`	Feature Factory: Crowd Sourced Feature Discovery. L@S Kalyan Veeramachaneni, Kiarash Adl, Una-May O'Reilly
2015	J	`jnl`	FlexGP - Cloud-Based Ensemble Learning with Genetic Programming for Large Regression Problems. J. Grid Comput. Kalyan Veeramachaneni, Ignacio Arnaldo, Owen Derby, Una-May O'Reilly
2015	B	`conf`	Gaussian Process-Based Feature Selection for Wavelet Parameters: Predicting Acute Hypotensive Episodes from Physiological Signals. CBMS Franck Dernoncourt, Kalyan Veeramachaneni, Una-May O'Reilly
2015	—	`ch.`	Genetic Programming. Handbook of Computational Intelligence James McDermott, Una-May O'Reilly
2015	—	`conf`	Genetic Programming: A Tutorial Introduction. GECCO (Companion) Una-May O'Reilly
2015	—	`conf`	Large-scale physiological waveform retrieval via locality-sensitive hashing. EMBC Yongwook Bryce Kim, Una-May O'Reilly
2015	J	`jnl`	Learning a goal-oriented model for energy efficient adaptive applications in data centers. Inf. Sci. Monica Vitali, Barbara Pernici, Una-May O'Reilly
2015	C	`conf`	Tax non-compliance detection using co-evolution of tax evasion risk and audit likelihood. ICAIL Erik Hemberg, Jacob B. Rosen, Geoff Warner, Sanith Wijesinghe, Una-May O'Reilly
2014	A	`conf`	A continuous developmental model for wind farm layout optimization. GECCO Dennis Wilson, Sylvain Cussat-Blanc, Kalyan Veeramachaneni, Una-May O'Reilly, Hervé Luga
2014	B	`conf`	Behavioral Search Drivers for Genetic Programing. EuroGP Krzysztof Krawiec, Una-May O'Reilly
2014	A	`conf`	Behavioral programming: a broader and more detailed take on semantic GP. GECCO Krzysztof Krawiec, Una-May O'Reilly
2014	B	`conf`	Building a Stage 1 Computer Aided Detector for Breast Cancer Using Genetic Programming. EuroGP Conor Ryan, Krzysztof Krawiec, Una-May O'Reilly, Jeannie Fitzgerald, David Medernach
2014	B	`conf`	Flash: A GP-GPU Ensemble Learning System for Handling Large Datasets. EuroGP Ignacio Arnaldo, Kalyan Veeramachaneni, Una-May O'Reilly
2014	—	`conf`	Genetic programming: a tutorial introduction. GECCO (Companion) Una-May O'Reilly
2014	B	`conf`	Large-Scale Methodological Comparison of Acute Hypotensive Episode Forecasting Using MIMIC2 Physiological Waveforms. CBMS Yongwook Bryce Kim, Joohyun Seo, Una-May O'Reilly
2014	J	`jnl`	Likely to stop? Predicting Stopout in Massive Open Online Courses. CoRR Colin Taylor, Kalyan Veeramachaneni, Una-May O'Reilly
2014	J	`jnl`	MOOCdb: Developing Standards and Systems to Support MOOC Data Science. CoRR Kalyan Veeramachaneni, Sherif A. Halawa, Franck Dernoncourt, Una-May O'Reilly, Colin Taylor, Chuong B. Do
2014	A	`conf`	Multiple regression genetic programming. GECCO Ignacio Arnaldo, Krzysztof Krawiec, Una-May O'Reilly
2014	B	`conf`	OpenTuner: an extensible framework for program autotuning. PACT Jason Ansel, Shoaib Kamil, Kalyan Veeramachaneni, Jonathan Ragan-Kelley, Jeffrey Bosboom, Una-May O'Reilly, Saman P. Amarasinghe
2014	J	`jnl`	The Max problem revisited: The importance of mutation in genetic programming. Theor. Comput. Sci. Timo Kötzing, Andrew M. Sutton, Frank Neumann, Una-May O'Reilly
2014	J	`jnl`	Towards Feature Engineering at Scale for Data from Massive Open Online Courses. CoRR Kalyan Veeramachaneni, Una-May O'Reilly, Colin Taylor
2014	J	`jnl`	Using reinforcement learning to optimize occupant comfort and energy usage in HVAC systems. J. Ambient Intell. Smart Environ. Pedro Fazenda, Kalyan Veeramachaneni, Pedro U. Lima, Una-May O'Reilly
2014	—	`conf`	Women@GECCO 2014. GECCO (Companion) Una-May O'Reilly, Anna Esparcia-Alcázar, Anne Auger, Carola Doerr, Anikó Ekárt, Gabriela Ochoa
2013	J	`jnl`	Better GP benchmarks: community survey results and proposals. Genet. Program. Evolvable Mach. David Robert White, James McDermott, Mauro Castelli, Luca Manzoni, Brian W. Goldman, Gabriel Kronberger, Wojciech Jaskowski, Una-May O'Reilly, Sean Luke
2013	B	`conf`	Cloud Driven Design of a Distributed Genetic Programming Platform. EvoApplications Owen Derby, Kalyan Veeramachaneni, Una-May O'Reilly
2013	B	`conf`	Cloud Scale Distributed Evolutionary Strategies for High Dimensional Problems. EvoApplications Dennis Wilson, Kalyan Veeramachaneni, Una-May O'Reilly
2013	—	`conf`	Developing Data Standards and Systems for MOOC Data Science. AIED Workshops Kalyan Veeramachaneni, Franck Dernoncourt, Colin Taylor, Zachary A. Pardos, Una-May O'Reilly
2013	—	`conf`	Efficient training set use for blood pressure prediction in a large scale learning classifier system. GECCO (Companion) Erik Hemberg, Kalyan Veeramachaneni, Franck Dernoncourt, Mark Wagy, Una-May O'Reilly
2013	—	`ch.`	Evolutionary and Generative Music Informs Music HCI - And Music and Human-Computer Interaction James McDermott, Dylan Sherry, Una-May O'Reilly
2013	—	`conf`	Genetic programming: a tutorial introduction. GECCO (Companion) Una-May O'Reilly
2013	—	`conf`	Imprecise selection and fitness approximation in a large-scale evolutionary rule based system for blood pressure prediction. GECCO (Companion) Erik Hemberg, Kalyan Veeramachaneni, Franck Dernoncourt, Mark Wagy, Una-May O'Reilly
2013	A	`conf`	Introducing graphical models to analyze genetic programming dynamics. FOGA Erik Hemberg, Constantin Berzan, Kalyan Veeramachaneni, Una-May O'Reilly
2013	A	`conf`	Learning regression ensembles with genetic programming at scale. GECCO Kalyan Veeramachaneni, Owen Derby, Dylan Sherry, Una-May O'Reilly
2013	—	`conf`	Maintenance of a Long Running Distributed Genetic Programming System for Solving Problems Requiring Big Data. GPTP Babak Hodjat, Erik Hemberg, Hormoz Shahrzad, Una-May O'Reilly
2013	B	`conf`	Modeling Service Execution on Data Centers for Energy Efficiency and Quality of Service Monitoring. SMC Monica Vitali, Una-May O'Reilly, Kalyan Veeramachaneni
2013	A	`conf`	On learning to generate wind farm layouts. GECCO Dennis Wilson, Emmanuel Awa, Sylvain Cussat-Blanc, Kalyan Veeramachaneni, Una-May O'Reilly
2013	—	`ch.`	Statistical Approaches for Wind Resource Assessment. Computational Intelligent Data Analysis for Sustainable Development Kalyan Veeramachaneni, Xiang Ye, Una-May O'Reilly
2012	—	`ch.`	A Knowledge-Based Operator for a Genetic Algorithm which Optimizes the Distribution of Sparse Matrix Data. Parallel Architectures and Bioinspired Algorithms Una-May O'Reilly, Nadya T. Bliss, Sanjeev Mohindra, Julie Mullen, Eric Robinson
2012	B	`conf`	A Library to Run Evolutionary Algorithms in the Cloud Using MapReduce. EvoApplications Pedro Fazenda, James McDermott, Una-May O'Reilly
2012	A	`conf`	An investigation of local patterns for estimation of distribution genetic programming. GECCO Erik Hemberg, Kalyan Veeramachaneni, James McDermott, Constantin Berzan, Una-May O'Reilly
2012	—	`conf`	Autoconstructive evolution for structural problems. GECCO (Companion) Kyle Ira Harrington, Lee Spector, Jordan B. Pollack, Una-May O'Reilly
2012	B	`conf`	Flex-GP: Genetic Programming on the Cloud. EvoApplications Dylan Sherry, Kalyan Veeramachaneni, James McDermott, Una-May O'Reilly
2012	A	`conf`	Genetic programming needs better benchmarks. GECCO James McDermott, David Robert White, Sean Luke, Luca Manzoni, Mauro Castelli, Leonardo Vanneschi, Wojciech Jaskowski, Krzysztof Krawiec, Robin Harper, Kenneth A. De Jong, Una-May O'Reilly
2012	—	`conf`	Genetic programming: a tutorial introduction. GECCO (Companion) Una-May O'Reilly
2012	—	`conf`	Graphical models and what they reveal about GP when it solves a symbolic regression problem. GECCO (Companion) Erik Hemberg, Kalyan Veeramachaneni, Una-May O'Reilly
2012	B	`conf`	Hyperparameter Tuning in Bandit-Based Adaptive Operator Selection. EvoApplications Maciej Pacula, Jason Ansel, Saman P. Amarasinghe, Una-May O'Reilly
2012	J	`jnl`	Knowledge mining sensory evaluation data: genetic programming, statistical techniques, and swarm optimization. Genet. Program. Evolvable Mach. Kalyan Veeramachaneni, Ekaterina Vladislavleva, Una-May O'Reilly
2012	B	`conf`	Optimizing energy output and layout costs for large wind farms using particle swarm optimization. IEEE Congress on Evolutionary Computation Kalyan Veeramachaneni, Markus Wagner, Una-May O'Reilly, Frank Neumann
2012	Misc	`conf`	Siblingrivalry: online autotuning through local competitions. CASES Jason Ansel, Maciej Pacula, Yee Lok Wong, Cy P. Chan, Marek Olszewski, Una-May O'Reilly, Saman P. Amarasinghe
2012	A	`conf`	The max problem revisited: the importance of mutation in genetic programming. GECCO Timo Kötzing, Andrew M. Sutton, Frank Neumann, Una-May O'Reilly
2011	A	`conf`	An efficient evolutionary algorithm for solving incrementally structured problems. GECCO Jason Ansel, Maciej Pacula, Saman P. Amarasinghe, Una-May O'Reilly
2011	A	`conf`	An executable graph representation for evolutionary generative music. GECCO James McDermott, Una-May O'Reilly
2011	A	`conf`	Computational complexity analysis of simple genetic programming on two problems modeling isolated program semantics. FOGA Greg Durrett, Frank Neumann, Una-May O'Reilly
2011	J	`jnl`	Feature extraction from optimization samples via ensemble based symbolic regression. Ann. Math. Artif. Intell. Kalyan Veeramachaneni, Ekaterina Vladislavleva, Una-May O'Reilly
2011	—	`conf`	Genetic programming: a tutorial introduction. GECCO (Companion) Una-May O'Reilly
2011	B	`conf`	How Far Is It from Here to There? A Distance That Is Coherent with GP Operators. EuroGP James McDermott, Una-May O'Reilly, Leonardo Vanneschi, Kalyan Veeramachaneni
2010	B	`conf`	A Genetic Algorithm to Minimize Chromatic Entropy. EvoCOP Greg Durrett, Muriel Médard, Una-May O'Reilly
2010	J	`jnl`	Computational Complexity Analysis of Simple Genetic Programming On Two Problems Modeling Isolated Program Semantics CoRR Greg Durrett, Frank Neumann, Una-May O'Reilly
2010	A	`conf`	Evolutionary optimization of flavors. GECCO Kalyan Veeramachaneni, Katya Vladislavleva, Matt Burland, Jason Parcon, Una-May O'Reilly
2010	—	`conf`	Feature Extraction from Optimization Data via DataModeler's Ensemble Symbolic Regression. LION Kalyan Veeramachaneni, Katya Vladislavleva, Una-May O'Reilly
2010	J	`jnl`	Hogs and slackers: Using operations balance in a genetic algorithm to optimize sparse algebra computation on distributed architectures. Parallel Comput. Una-May O'Reilly, Eric Robinson, Sanjeev Mohindra, Julie Mullen, Nadya Travinin Bliss
2010	A	`conf`	Knowledge mining with genetic programming methods for variable selection in flavor design. GECCO Katya Vladislavleva, Kalyan Veeramachaneni, Matt Burland, Jason Parcon, Una-May O'Reilly
2010	B	`conf`	Learning a Lot from Only a Little: Genetic Programming for Panel Segmentation on Sparse Sensory Evaluation Data. EuroGP Katya Vladislavleva, Kalyan Veeramachaneni, Una-May O'Reilly, Matt Burland, Jason Parcon
2009	A*	`conf`	An Evolutionary Approach To Inter-Session Network Coding. INFOCOM Minkyu Kim, Muriel Médard, Una-May O'Reilly, Danail Traskov
2009	—	`conf`	Genetic programming for quantitative stock selection. GEC Summit Ying L. Becker, Una-May O'Reilly
2008	—	`conf`	Genr8: Architects' Experience with an Emergent Design Tool. The Art of Artificial Evolution Martin Hemberg, Una-May O'Reilly, Achim Menges, Katrin Jonas, Michel Gonçalves, Steven Fuchs
2007	J	`jnl`	A Doubly Distributed Genetic Algorithm for Network Coding CoRR Minkyu Kim, Varun Aggarwal, Una-May O'Reilly, Muriel Médard
2007	A	`conf`	A doubly distributed genetic algorithm for network coding. GECCO Minkyu Kim, Varun Aggarwal, Una-May O'Reilly, Muriel Médard
2007	A	`conf`	COSMO: a correlation sensitive mutation operator for multi-objective optimization. GECCO Varun Aggarwal, Una-May O'Reilly
2007	A*	`conf`	Evolutionary Approaches To Minimizing Network Coding Resources. INFOCOM Minkyu Kim, Muriel Médard, Varun Aggarwal, Una-May O'Reilly, Wonsik Kim, Chang Wook Ahn, Michelle Effros
2007	J	`jnl`	Evolutionary Approaches to Minimizing Network Coding Resources CoRR Minkyu Kim, Muriel Médard, Varun Aggarwal, Una-May O'Reilly, Wonsik Kim, Chang Wook Ahn, Michelle Effros
2007	J	`jnl`	Genetic Representations for Evolutionary Minimization of Network Coding Resources CoRR Minkyu Kim, Varun Aggarwal, Una-May O'Reilly, Muriel Médard, Wonsik Kim
2007	—	`conf`	Genetic Representations for Evolutionary Minimization of Network Coding Resources. EvoWorkshops Minkyu Kim, Varun Aggarwal, Una-May O'Reilly, Muriel Médard, Wonsik Kim
2007	J	`jnl`	Integrating generative growth and evolutionary computation for form exploration. Genet. Program. Evolvable Mach. Una-May O'Reilly, Martin Hemberg
2007	—	`conf`	On the "Evolvable Hardware" Approach to Electronic Design Invention. WEAH Varun Aggarwal, Karl Berggren, Una-May O'Reilly
2007	A	`conf`	Simulation-based reusable posynomial models for MOS transistor parameters. DATE Varun Aggarwal, Una-May O'Reilly
2006	—	`conf`	A Self-Tuning Analog Proportional-Integral-Derivative (PID) Controller. AHS Varun Aggarwal, Meng Mao, Una-May O'Reilly
2006	A	`conf`	Filter approximation using explicit time and frequency domain specifications. GECCO Varun Aggarwal, Wesley O. Jin, Una-May O'Reilly
2006	—	`conf`	GRACE: Generative Robust Analog Circuit Exploration. EvoWorkshops Michael A. Terry, Jonathan Marcus, Matthew Farrell, Varun Aggarwal, Una-May O'Reilly
2005	A	`ed.`	Genetic and Evolutionary Computation Conference, GECCO 2005, Proceedings, Washington DC, USA, June 25-29, 2005 GECCO Hans-Georg Beyer, Una-May O'Reilly
2005	J	`jnl`	Population Sizing for Genetic Programming Based Upon Decision Making CoRR Kumara Sastry, Una-May O'Reilly, David E. Goldberg
2004	—	`conf`	An Interactive Artificial Ant Approach to Non-photorealistic Rendering. GECCO (1) Yann Semet, Una-May O'Reilly, Frédo Durand
2004	C	`conf`	Emergent Design: Opportunities for Hybridizing Agent-Based and Evolutionary Computation. HIS Una-May O'Reilly
2004	B	`conf`	Emergent design: opportunities for agent-based and evolutionary computation. IEEE Congress on Evolutionary Computation Una-May O'Reilly
2004	B	`conf`	Extending Grammatical Evolution to Evolve Digital Surfaces with Genr8. EuroGP Martin Hemberg, Una-May O'Reilly
2004	B	`ed.`	Genetic Programming, 7th European Conference, EuroGP2004, Coimbra, Portugal, April 5-7, 2004, Proceedings EuroGP Maarten Keijzer, Una-May O'Reilly, Simon M. Lucas, Ernesto Costa, Terence Soule
2004	J	`jnl`	Sensing and Manipulating Built-for-Human Environments. Int. J. Humanoid Robotics Rodney A. Brooks, Lijin Aryananda, Aaron Edsinger, Paul M. Fitzpatrick, Charles C. Kemp, Una-May O'Reilly, Eduardo Torres-Jara, Paulina Varshavskaya, Jeff Weber
2003	—	`conf`	Adapting Convergent Scheduling Using Machine-Learning. LCPC Diego Puppin, Mark Stephenson, Saman P. Amarasinghe, Martin C. Martin, Una-May O'Reilly
2003	B	`conf`	Genetic Programming Applied to Compiler Heuristic Optimization. EuroGP Mark Stephenson, Una-May O'Reilly, Martin C. Martin, Saman P. Amarasinghe
2003	A	`ed.`	Genetic and Evolutionary Computation - GECCO 2003, Genetic and Evolutionary Computation Conference, Chicago, IL, USA, July 12-16, 2003. Proceedings, Part I GECCO Erick Cantú-Paz, James A. Foster, Kalyanmoy Deb, Lawrence Davis, Rajkumar Roy, Una-May O'Reilly, Hans-Georg Beyer, Russell K. Standish, Graham Kendall, Stewart W. Wilson, Mark Harman, Joachim Wegener, Dipankar Dasgupta, Mitchell A. Potter, Alan C. Schultz, Kathryn A. Dowsland, Natasa Jonoska, Julian F. Miller
2003	A	`ed.`	Genetic and Evolutionary Computation - GECCO 2003, Genetic and Evolutionary Computation Conference, Chicago, IL, USA, July 12-16, 2003. Proceedings, Part II GECCO Erick Cantú-Paz, James A. Foster, Kalyanmoy Deb, Lawrence Davis, Rajkumar Roy, Una-May O'Reilly, Hans-Georg Beyer, Russell K. Standish, Graham Kendall, Stewart W. Wilson, Mark Harman, Joachim Wegener, Dipankar Dasgupta, Mitchell A. Potter, Alan C. Schultz, Kathryn A. Dowsland, Natasa Jonoska, Julian F. Miller
2003	A*	`conf`	Meta optimization: improving compiler heuristics with machine learning. PLDI Mark Stephenson, Saman P. Amarasinghe, Martin C. Martin, Una-May O'Reilly
2003	J	`jnl`	Tight Bounds for Synchronous Communication of Information Using Bits, Silence. Discret. Appl. Math. Una-May O'Reilly, Nicola Santoro
2000	B	`conf`	Asynchronous to Synchronous transformations. OPODIS Una-May O'Reilly, Nicola Santoro
1998	—	`conf`	The Impact of External Dependency in Genetic Programming Primitives. Canadian AI Una-May O'Reilly
1998	B	`conf`	Where Does the Good Stuff Go, and Why? How Contextual Semantics Influences Program Structure in Simple Genetic Programming. EuroGP David E. Goldberg, Una-May O'Reilly
1994	J	`jnl`	Book Review: Genetic Programming II - Automatic Discovery of Reusable Programs by John R Koza. Artif. Life Una-May O'Reilly
1994	A	`conf`	Program Search with a Hierarchical Variable Lenght Representation: Genetic Programming, Simulated Annealing and Hill Climbing. PPSN Una-May O'Reilly, Franz Oppacher
1994	A	`conf`	The Troubling Aspects of a Building Block Hypothesis for Genetic Programming. FOGA Una-May O'Reilly, Franz Oppacher
1992	A	`conf`	An Experimental Perspective on Genetic Programming. PPSN Una-May O'Reilly, Franz Oppacher
1992	B	`conf`	The Expressiveness of Silence: Tight Bounds for Synchronous Communication of Information Using Bits and Silence. WG Una-May O'Reilly, Nicola Santoro