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ORCIDUna-May O'Reilly
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- affiliation: MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, USA
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2020 – today
- 2024
[j20]Erik Hemberg, Matthew J. Turner
, Nick Rutar, Una-May O'Reilly:
Enhancements to Threat, Vulnerability, and Mitigation Knowledge for Cyber Analytics, Hunting, and Simulations. DTRAP 5(1): 8:1-8:33 (2024)- [j19]Erik Hemberg, Stephen Moskal, Una-May O'Reilly:
Evolving code with a large language model. Genet. Program. Evolvable Mach. 25(2): 21 (2024) - [c166]Mario Alejandro Hevia Fajardo, Erik Hemberg, Jamal Toutouh, Una-May O'Reilly, Per Kristian Lehre:
A Self-adaptive Coevolutionary Algorithm. GECCO 2024 - [c165]Erik Hemberg, Una-May O'Reilly, Jamal Toutouh:
Cooperative Coevolutionary Spatial Topologies for Autoencoder Training. GECCO 2024 - [c164]Steven Jorgensen, Giorgia Nadizar, Gloria Pietropolli, Luca Manzoni, Eric Medvet, Una-May O'Reilly, Erik Hemberg:
Large Language Model-based Test Case Generation for GP Agents. GECCO 2024 - [c163]Una-May O'Reilly:
Coevolution in Natural and Artificial Systems. GECCO 2024 - [c162]Una-May O'Reilly, Erik Hemberg:
Using Large Language Models for Evolutionary Search. GECCO Companion 2024: 973-983 - [c161]Jamal Toutouh, Una-May O'Reilly:
Coevolutionary Computation for Adversarial Deep Learning. GECCO Companion 2024: 1410-1431 - [i42]Erik Hemberg, Stephen Moskal, Una-May O'Reilly:
Evolving Code with A Large Language Model. CoRR abs/2401.07102 (2024) - 2023
- [j18]Jamal Toutouh, Subhash Nalluru, Erik Hemberg, Una-May O'Reilly:
Semi-supervised generative adversarial networks with spatial coevolution for enhanced image generation and classification. Appl. Soft Comput. 148: 110890 (2023) - [j17]Alexander Shashkov, Erik Hemberg, Miguel Tulla, Una-May O'Reilly:
Adversarial agent-learning for cybersecurity: a comparison of algorithms. Knowl. Eng. Rev. 38: e3 (2023) - [c160]Robert Gold, Henrique Branquinho, Erik Hemberg, Una-May O'Reilly, Pablo García-Sánchez:
Genetic Programming and Coevolution to Play the Bomberman™ Video Game. EvoApplications@EvoStar 2023: 765-779 - [c159]Jamal Toutouh, Subhash Nalluru, Erik Hemberg, Una-May O'Reilly:
Semi-Supervised Learning with Coevolutionary Generative Adversarial Networks. GECCO 2023: 568-576 - [c158]Una-May O'Reilly, Erik Hemberg:
Genetic Programming: A Tutorial Introduction. GECCO Companion 2023: 1026-1036 - [c157]Per Kristian Lehre, Mario Alejandro Hevia Fajardo, Jamal Toutouh, Erik Hemberg, Una-May O'Reilly:
Analysis of a Pairwise Dominance Coevolutionary Algorithm And DefendIt. GECCO 2023: 1027-1035 - [c156]Jamal Toutouh, Una-May O'Reilly:
Coevolutionary Computation for Adversarial Deep Learning. GECCO Companion 2023: 1379-1398 - [c155]Mario Alejandro Hevia Fajardo, Per Kristian Lehre, Jamal Toutouh, Erik Hemberg, Una-May O'Reilly:
Analysis of a Pairwise Dominance Coevolutionary Algorithm with Spatial Topology. GPTP 2023: 19-44 - [c154]ByeongJo Kong, Erik Hemberg, Ana Bell, Una-May O'Reilly:
Investigating Student's Problem-solving Approaches in MOOCs using Natural Language Processing. LAK 2023: 262-272 - [c153]Michael Wang, Shashank Srikant, Malavika Samak, Una-May O'Reilly:
RaceInjector: Injecting Races to Evaluate and Learn Dynamic Race Detection Algorithms. SOAP@PLDI 2023: 63-70 - [c152]Jinghan Jia, Shashank Srikant, Tamara Mitrovska, Chuang Gan, Shiyu Chang, Sijia Liu, Una-May O'Reilly:
ClawSAT: Towards Both Robust and Accurate Code Models. SANER 2023: 212-223 - [i41]Shashank Srikant, Anna A. Ivanova, Yotaro Sueoka, Hope H. Kean, Riva Dhamala, Evelina Fedorenko, Marina U. Bers, Una-May O'Reilly:
Program Comprehension Does Not Primarily Rely On the Language Centers of the Human Brain. CoRR abs/2304.12373 (2023) - [i40]Aruna Sankaranarayanan, Erik Hemberg, Una-May O'Reilly:
The Facebook Algorithm's Active Role in Climate Advertisement Delivery. CoRR abs/2308.03191 (2023) - [i39]Stephen Moskal, Sam Laney, Erik Hemberg, Una-May O'Reilly:
LLMs Killed the Script Kiddie: How Agents Supported by Large Language Models Change the Landscape of Network Threat Testing. CoRR abs/2310.06936 (2023) - 2022
- [c151]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:
Entropy-Based Characterization of Influence Pathways in Traditional and Social Media. CIC 2022: 38-44 - [c150]Sabrina Tseng, Erik Hemberg, Una-May O'Reilly:
Synthesizing Programs from Program Pieces Using Genetic Programming and Refinement Type Checking. EuroGP 2022: 197-211 - [c149]Dirk Schweim, Erik Hemberg, Dominik Sobania, Una-May O'Reilly:
Exploiting Knowledge from Code to Guide Program Search. EuroGP 2022: 262-277 - [c148]Diana Flores, Erik Hemberg, Jamal Toutouh, Una-May O'Reilly:
Coevolutionary generative adversarial networks for medical image augumentation at scale. GECCO 2022: 367-376 - [c147]Ying Zhao, Erik Hemberg, Nate Derbinsky, Gabino Mata, Una-May O'Reilly:
Using domain knowledge in coevolution and reinforcement learning to simulate a logistics enterprise. GECCO Companion 2022: 514-517 - [c146]Matthew J. Turner, Erik Hemberg, Una-May O'Reilly:
Analyzing multi-agent reinforcement learning and coevolution in cybersecurity. GECCO 2022: 1290-1298 - [c145]Jamal Toutouh, Una-May O'Reilly:
Coevolutionary computation for adversarial deep learning. GECCO Companion 2022: 1487-1505 - [c144]Stephen Moskal, Erik Hemberg, Una-May O'Reilly:
CyberEvo: evolutionary search of knowledge-based behaviors in a cyber attack campaign. GECCO Companion 2022: 2168-2176 - [c143]Robert Gold, Andrew Haydn Grant, Erik Hemberg, Chathika Gunaratne, Una-May O'Reilly:
GUI-based, efficient genetic programming for Unity3D. GECCO Companion 2022: 2310-2313 - [c142]Robert Gold, Andrew Haydn Grant, Erik Hemberg, Chathika Gunaratne, Una-May O'Reilly:
GUI-Based, Efficient Genetic Programming and AI Planning for Unity3D. GPTP 2022: 57-79 - [c141]Jaeyoon Kim, Una-May O'Reilly, Junhee Seok:
Computer Code Representation through Natural Language Processing for fMRI Data Analysis. ICAIIC 2022: 184-187 - [c140]Shashank Srikant, Ben Lipkin, Anna A. Ivanova, Evelina Fedorenko, Una-May O'Reilly:
Convergent Representations of Computer Programs in Human and Artificial Neural Networks. NeurIPS 2022 - [i38]Jinghan Jia, Shashank Srikant, Tamara Mitrovska, Chuang Gan, Shiyu Chang, Sijia Liu, Una-May O'Reilly:
CLAWSAT: Towards Both Robust and Accurate Code Models. CoRR abs/2211.11711 (2022) - 2021
- [j16]Erik Hemberg, Jamal Toutouh, Abdullah Al-Dujaili, Tom Schmiedlechner, Una-May O'Reilly:
Spatial Coevolution for Generative Adversarial Network Training. ACM Trans. Evol. Learn. Optim. 1(2): 6:1-6:28 (2021) - [c139]Jordan Wick, Erik Hemberg, Una-May O'Reilly:
Getting a Head Start on Program Synthesis with Genetic Programming. EuroGP 2021: 263-279 - [c138]Dirk Schweim, Erik Hemberg, Dominik Sobania, Una-May O'Reilly, Franz Rothlauf:
Using knowledge of human-generated code to bias the search in program synthesis with grammatical evolution. GECCO Companion 2021: 331-332 - [c137]Jamal Toutouh, Una-May O'Reilly:
Signal propagation in a gradient-based and evolutionary learning system. GECCO 2021: 377-385 - [c136]Una-May O'Reilly, Erik Hemberg:
Genetic programming: a tutorial introduction. GECCO Companion 2021: 443-453 - [c135]Michal Shlapentokh-Rothman, Jonathan Kelly, Avital Baral, Erik Hemberg, Una-May O'Reilly:
Coevolutionary modeling of cyber attack patterns and mitigations using public datasets. GECCO 2021: 714-722 - [c134]Jamal Toutouh, Una-May O'Reilly:
Coevolutionary computation for adversarial deep learning. GECCO Companion 2021: 983-1001 - [c133]Ying Zhao, Erik Hemberg, Nate Derbinsky, Gabino Mata, Una-May O'Reilly:
Simulating a logistics enterprise using an asymmetrical wargame simulation with soar reinforcement learning and coevolutionary algorithms. GECCO Companion 2021: 1907-1915 - [c132]Shashank Srikant, Sijia Liu, Tamara Mitrovska, Shiyu Chang, Quanfu Fan, Gaoyuan Zhang, Una-May O'Reilly:
Generating Adversarial Computer Programs using Optimized Obfuscations. ICLR 2021 - [c131]Alexander Shashkov, Robert Gold, Erik Hemberg, ByeongJo Kong, Ana Bell, Una-May O'Reilly:
Analyzing Student Reflection Sentiments and Problem-Solving Procedures in MOOCs. L@S 2021: 247-250 - [e6]Una-May O'Reilly, Xavier Devroey:
Search-Based Software Engineering - 13th International Symposium, SSBSE 2021, Bari, Italy, October 11-12, 2021, Proceedings. Lecture Notes in Computer Science 12914, Springer 2021, ISBN 978-3-030-88105-4 [contents] - [i37]Jamal Toutouh, Una-May O'Reilly:
Signal Propagation in a Gradient-Based and Evolutionary Learning System. CoRR abs/2102.08929 (2021) - [i36]Shashank Srikant, Sijia Liu, Tamara Mitrovska, Shiyu Chang, Quanfu Fan, Gaoyuan Zhang, Una-May O'Reilly:
Generating Adversarial Computer Programs using Optimized Obfuscations. CoRR abs/2103.11882 (2021) - [i35]Prakruthi Karuna, Erik Hemberg, Una-May O'Reilly, Nick Rutar:
Automating Cyber Threat Hunting Using NLP, Automated Query Generation, and Genetic Perturbation. CoRR abs/2104.11576 (2021) - [i34]John Emanuello, Kimberly Ferguson-Walter, Erik Hemberg, Una-May O'Reilly, Ahmad Ridley, Dennis Ross, Diane Staheli, William W. Streilein:
Proceedings - AI/ML for Cybersecurity: Challenges, Solutions, and Novel Ideas at SIAM Data Mining 2021. CoRR abs/2104.13254 (2021) - [i33]Jamal Toutouh, Erik Hemberg, Una-May O'Reilly:
Fostering Diversity in Spatial Evolutionary Generative Adversarial Networks. CoRR abs/2106.13590 (2021) - [i32]Erik Hemberg, Una-May O'Reilly:
Using a Collated Cybersecurity Dataset for Machine Learning and Artificial Intelligence. CoRR abs/2108.02618 (2021) - [i31]Chathika Gunaratne, Rene Reyes, Erik Hemberg, Una-May O'Reilly:
Evaluating Efficacy of Indoor Non-Pharmaceutical Interventions against COVID-19 Outbreaks with a Coupled Spatial-SIR Agent-Based Simulation Framework. CoRR abs/2108.11025 (2021) - 2020
- [j15]Una-May O'Reilly, Jamal Toutouh, Marcos A. Pertierra, Daniel Prado Sanchez, Dennis Garcia, Anthony Erb Lugo, Jonathan Kelly, Erik Hemberg:
Adversarial genetic programming for cyber security: a rising application domain where GP matters. Genet. Program. Evolvable Mach. 21(1-2): 219-250 (2020) - [c130]Sicco Verwer, Azqa Nadeem, Christian A. Hammerschmidt, Laurens Bliek, Abdullah Al-Dujaili, Una-May O'Reilly:
The Robust Malware Detection Challenge and Greedy Random Accelerated Multi-Bit Search. AISec@CCS 2020: 61-70 - [c129]Jamal Toutouh, Erik Hemberg, Una-May O'Reilly:
Re-purposing heterogeneous generative ensembles with evolutionary computation. GECCO 2020: 425-434 - [c128]Una-May O'Reilly, Erik Hemberg:
Genetic programming: a tutorial introduction. GECCO Companion 2020: 512-525 - [c127]Michal Shlapentokh-Rothman, Erik Hemberg, Una-May O'Reilly:
Securing the software defined perimeter with evolutionary co-optimization. GECCO Companion 2020: 1528-1536 - [c126]Abdullah Al-Dujaili, Una-May O'Reilly:
Sign Bits Are All You Need for Black-Box Attacks. ICLR 2020 - [c125]Sijia Liu, Songtao Lu, Xiangyi Chen, Yao Feng, Kaidi Xu, Abdullah Al-Dujaili, Mingyi Hong, Una-May O'Reilly:
Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks. ICML 2020: 6282-6293 - [c124]Emiliano Pérez, Sergio Nesmachnow, Jamal Toutouh, Erik Hemberg, Una-May O'Reilly:
Parallel/distributed implementation of cellular training for generative adversarial neural networks. IPDPS Workshops 2020: 512-518 - [c123]Hao Shen, Leming Liang, Nancy Law, Erik Hemberg, Una-May O'Reilly:
Understanding Learner Behavior Through Learning Design Informed Learning Analytics. L@S 2020: 135-145 - [c122]Hannah Burd, Ana Bell, Erik Hemberg, Una-May O'Reilly:
Analyzing Pre-Existing Knowledge and Performance in a Programming MOOC. L@S 2020: 281-284 - [c121]Robert Gold, Erik Hemberg, Una-May O'Reilly:
Analyzing K-12 Blended MOOC Learning Behaviors. L@S 2020: 345-348 - [c120]Jamal Toutouh, Erik Hemberg, Una-May O'Reilly:
Analyzing the Components of Distributed Coevolutionary GAN Training. PPSN (1) 2020: 552-566 - [p6]Erik Hemberg, Linda Zhang, Una-May O'Reilly:
Exploring Adversarial Artificial Intelligence for Autonomous Adaptive Cyber Defense. Adaptive Autonomous Secure Cyber Systems 2020: 41-61 - [p5]Jamal Toutouh, Erik Hemberg, Una-May O'Reilly:
Data Dieting in GAN Training. Deep Neural Evolution 2020: 379-400 - [i30]Jamal Toutouh, Erik Hemberg, Una-May O'Reilly:
Re-purposing Heterogeneous Generative Ensembles with Evolutionary Computation. CoRR abs/2003.13532 (2020) - [i29]Emiliano Pérez, Sergio Nesmachnow, Jamal Toutouh, Erik Hemberg, Una-May O'Reilly:
Parallel/distributed implementation of cellular training for generative adversarial neural networks. CoRR abs/2004.04633 (2020) - [i28]Jamal Toutouh, Una-May O'Reilly, Erik Hemberg:
Data Dieting in GAN Training. CoRR abs/2004.04642 (2020) - [i27]Una-May O'Reilly, Jamal Toutouh, Marcos A. Pertierra, Daniel Prado Sanchez, Dennis Garcia, Anthony Erb Lugo, Jonathan Kelly, Erik Hemberg:
Adversarial Genetic Programming for Cyber Security: A Rising Application Domain Where GP Matters. CoRR abs/2004.04647 (2020) - [i26]Shashank Srikant, Nicolas Lesimple, Una-May O'Reilly:
Dependency-Based Neural Representations for Classifying Lines of Programs. CoRR abs/2004.10166 (2020) - [i25]Jamal Toutouh, Erik Hemberg, Una-May O'Reilly:
Analyzing the Components of Distributed Coevolutionary GAN Training. CoRR abs/2008.01124 (2020) - [i24]Jacob M. Springer, Bryn Marie Reinstadler, Una-May O'Reilly:
STRATA: Building Robustness with a Simple Method for Generating Black-box Adversarial Attacks for Models of Code. CoRR abs/2009.13562 (2020) - [i23]Erik Hemberg, Jonathan Kelly, Michal Shlapentokh-Rothman, Bryn Marie Reinstadler, Katherine Xu, Nick Rutar, Una-May O'Reilly:
BRON - Linking Attack Tactics, Techniques, and Patterns with Defensive Weaknesses, Vulnerabilities and Affected Platform Configurations. CoRR abs/2010.00533 (2020)
2010 – 2019
- 2019
- [c119]Jonathan Kelly, Erik Hemberg, Una-May O'Reilly:
Improving Genetic Programming with Novel Exploration - Exploitation Control. EuroGP 2019: 64-80 - [c118]Jamal Toutouh, Erik Hemberg, Una-May O'Reilly:
Spatial evolutionary generative adversarial networks. GECCO 2019: 472-480 - [c117]Una-May O'Reilly, Erik Hemberg:
Introduction to genetic programming. GECCO (Companion) 2019: 710-725 - [c116]Erik Hemberg, Jonathan Kelly, Una-May O'Reilly:
On domain knowledge and novelty to improve program synthesis performance with grammatical evolution. GECCO 2019: 1039-1046 - [c115]Jonathan Kelly, Michael DeLaus, Erik Hemberg, Una-May O'Reilly:
Adversarially Adapting Deceptive Views and Reconnaissance Scans on a Software Defined Network. IM 2019: 49-54 - [c114]Mucong Ding, Yanbang Wang, Erik Hemberg, Una-May O'Reilly:
Transfer Learning using Representation Learning in Massive Open Online Courses. LAK 2019: 145-154 - [c113]Yanbang Wang, Nancy Law, Erik Hemberg, Una-May O'Reilly:
Using Detailed Access Trajectories for Learning Behavior Analysis. LAK 2019: 290-299 - [c112]Ayesha Bajwa, Erik Hemberg, Ana Bell, Una-May O'Reilly:
Student Code Trajectories in an Introductory Programming MOOC. L@S 2019: 33:1-33:4 - [c111]Li Wang, Erik Hemberg, Una-May O'Reilly:
On the Influence of Grades on Learning Behavior of Students in MOOCs. L@S 2019: 39:1-39:4 - [c110]Sagar Biswas, Nancy Law, Erik Hemberg, Una-May O'Reilly:
Investigating Learning Design Categorization and Learning Behaviour in Computational MOOCS. L@S 2019: 50:1-50:4 - [c109]Jitesh Maiyuran, Ayesha Bajwa, Ana Bell, Erik Hemberg, Una-May O'Reilly:
How Student Background and Topic Impact the Doer Effect in Computational Thinking MOOCs. LWMOOCS 2019: 47-52 - [c108]Ayesha Bajwa, Ana Bell, Erik Hemberg, Una-May O'Reilly:
Analyzing Student Code Trajectories in an Introductory Programming MOOC. LWMOOCS 2019: 53-58 - [c107]Erik Hemberg, Sagar Biswas, Ayesha Bajwa, Nancy Law, Una-May O'Reilly:
Categorizing Resources and Learners for a Finer-Grained Analysis of MOOC Viewing & Doing. LWMOOCS 2019: 116-121 - [c106]Li Wang, Erik Hemberg, Una-May O'Reilly:
The Influence of Grades on Learning Behavior in MOOCs: Certification vs, Continued Participation. LWMOOCS 2019: 122-127 - [i22]Abdullah Al-Dujaili, Una-May O'Reilly:
There are No Bit Parts for Sign Bits in Black-Box Attacks. CoRR abs/1902.06894 (2019) - [i21]Jamal Toutouh, Erik Hemberg, Una-May O'Reilly:
Spatial Evolutionary Generative Adversarial Networks. CoRR abs/1905.12702 (2019) - [i20]Sijia Liu, Songtao Lu, Xiangyi Chen, Yao Feng, Kaidi Xu, Abdullah Al-Dujaili, Mingyi Hong, Una-May O'Reilly:
Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML. CoRR abs/1909.13806 (2019) - 2018
- [c105]Una-May O'Reilly, Erik Hemberg:
An Artificial Coevolutionary Framework for Adversarial AI. AAAI Fall Symposium: ALEC 2018: 50-55 - [c104]Gili Rusak, Abdullah Al-Dujaili, Una-May O'Reilly:
AST-Based Deep Learning for Detecting Malicious PowerShell. CCS 2018: 2276-2278 - [c103]Daniel Prado Sanchez, Marcos A. Pertierra, Erik Hemberg, Una-May O'Reilly:
Competitive coevolutionary algorithm decision support. GECCO (Companion) 2018: 300-301 - [c102]Una-May O'Reilly:
Genetic programming: a tutorial introduction. GECCO (Companion) 2018: 489-503 - [c101]Erik Hemberg, Joseph R. Zipkin, Richard William Skowyra, Neal Wagner, Una-May O'Reilly:
Adversarial co-evolution of attack and defense in a segmented computer network environment. GECCO (Companion) 2018: 1648-1655 - [c100]Ruggiero Dargenio, Shashank Srikant, Erik Hemberg, Una-May O'Reilly:
Exploring the Use of Autoencoders for Botnets Traffic Representation. IEEE Symposium on Security and Privacy Workshops 2018: 57-62 - [c99]Abdullah Al-Dujaili, Alex Huang, Erik Hemberg, Una-May O'Reilly:
Adversarial Deep Learning for Robust Detection of Binary Encoded Malware. IEEE Symposium on Security and Privacy Workshops 2018: 76-82 - [p4]Erik Hemberg, Anthony Erb Lugo, Dennis Garcia, Una-May O'Reilly:
Grammatical Evolution with Coevolutionary Algorithms in Cyber Security. Handbook of Grammatical Evolution 2018: 407-431 - [i19]Alex Huang, Abdullah Al-Dujaili, Erik Hemberg, Una-May O'Reilly:
Adversarial Deep Learning for Robust Detection of Binary Encoded Malware. CoRR abs/1801.02950 (2018) - [i18]Abdullah Al-Dujaili, Erik Hemberg, Una-May O'Reilly:
Approximating Nash Equilibria for Black-Box Games: A Bayesian Optimization Approach. CoRR abs/1804.10586 (2018) - [i17]Alex Huang, Abdullah Al-Dujaili, Erik Hemberg, Una-May O'Reilly:
On Visual Hallmarks of Robustness to Adversarial Malware. CoRR abs/1805.03553 (2018) - [i16]Abdullah Al-Dujaili, Shashank Srikant, Erik Hemberg, Una-May O'Reilly:
On the Application of Danskin's Theorem to Derivative-Free Minimax Optimization. CoRR abs/1805.06322 (2018) - [i15]Tom Schmiedlechner, Abdullah Al-Dujaili, Erik Hemberg, Una-May O'Reilly:
Towards Distributed Coevolutionary GANs. CoRR abs/1807.08194 (2018) - [i14]Gili Rusak, Abdullah Al-Dujaili, Una-May O'Reilly:
AST-Based Deep Learning for Detecting Malicious PowerShell. CoRR abs/1810.09230 (2018) - [i13]Jwala Dhamala, Emmanuel Azuh, Abdullah Al-Dujaili, Jonathan Rubin, Una-May O'Reilly:
Multivariate Time-series Similarity Assessment via Unsupervised Representation Learning and Stratified Locality Sensitive Hashing: Application to Early Acute Hypotensive Episode Detection. CoRR abs/1811.06106 (2018) - [i12]Tom Schmiedlechner, Ignavier Ng Zhi Yong, Abdullah Al-Dujaili, Erik Hemberg, Una-May O'Reilly:
Lipizzaner: A System That Scales Robust Generative Adversarial Network Training. CoRR abs/1811.12843 (2018) - [i11]Mucong Ding, Yanbang Wang, Erik Hemberg, Una-May O'Reilly:
Transfer Learning using Representation Learning in Massive Open Online Courses. CoRR abs/1812.05043 (2018) - [i10]Yanbang Wang, Nancy Law, Erik Hemberg, Una-May O'Reilly:
Using Detailed Access Trajectories for Learning Behavior Analysis. CoRR abs/1812.05767 (2018) - 2017
- [c98]Stjepan Picek, Erik Hemberg, Una-May O'Reilly:
If You Can't Measure It, You Can't Improve It: Moving Target Defense Metrics. MTD@CCS 2017: 115-118 - [c97]Yongwook Bryce Kim, Erik Hemberg, Una-May O'Reilly:
Collision frequency locality-sensitive hashing for prediction of critical events. EMBC 2017: 3088-3093 - [c96]Pasquale Salza, Erik Hemberg, Filomena Ferrucci, Una-May O'Reilly:
cCube: a cloud microservices architecture for evolutionary machine learning classification. GECCO (Companion) 2017: 137-138 - [c95]Anthony Erb Lugo, Dennis Garcia, Erik Hemberg, Una-May O'Reilly:
Developing proactive defenses for computer networks with coevolutionary genetic algorithms. GECCO (Companion) 2017: 273-274 - [c94]Una-May O'Reilly:
Genetic programming: a tutorial introduction. GECCO (Companion) 2017: 471-488 - [c93]Pasquale Salza, Erik Hemberg, Filomena Ferrucci, Una-May O'Reilly:
Towards evolutionary machine learning comparison, competition, and collaboration with a multi-cloud platform. GECCO (Companion) 2017: 1263-1270 - [c92]Dennis Garcia, Anthony Erb Lugo, Erik Hemberg, Una-May O'Reilly:
Investigating coevolutionary archive based genetic algorithms on cyber defense networks. GECCO (Companion) 2017: 1455-1462 - [c91]Stjepan Picek, Domagoj Jakobovic, Una-May O'Reilly:
CryptoBench: benchmarking evolutionary algorithms with cryptographic problems. GECCO (Companion) 2017: 1597-1604 - [c90]Steven B. Fine, Erik Hemberg, Krzysztof Krawiec, Una-May O'Reilly:
Exploiting Subprograms in Genetic Programming. GPTP 2017: 1-16 - [c89]Stjepan Picek, Erik Hemberg, Domagoj Jakobovic, Una-May O'Reilly:
One-Class Classification of Low Volume DoS Attacks with Genetic Programming. GPTP 2017: 149-168 - [c88]Marcos A. Pertierra, Sarah Lawsky, Erik Hemberg, Una-May O'Reilly:
Towards Formalizing Statute Law as Default Logic through Automatic Semantic Parsing. ASAIL@ICAIL 2017 - [c87]Miguel Paredes, Erik Hemberg, Una-May O'Reilly, Chris Zegras:
Machine learning or discrete choice models for car ownership demand estimation and prediction? MT-ITS 2017: 780-785 - [e5]Christophe Sabourin, Juan Julián Merelo Guervós, Una-May O'Reilly, Kurosh Madani, Kevin Warwick:
Proceedings of the 9th International Joint Conference on Computational Intelligence, IJCCI 2017, Funchal, Madeira, Portugal, November 1-3, 2017. SciTePress 2017, ISBN 978-989-758-274-5 [contents] - [i9]Alessandro De Palma, Erik Hemberg, Una-May O'Reilly:
Distributed Stratified Locality Sensitive Hashing for Critical Event Prediction in the Cloud. CoRR abs/1712.00206 (2017) - 2016
- [j14]Erik Hemberg, Jacob B. Rosen, Geoff Warner, Sanith Wijesinghe, Una-May O'Reilly:
Detecting tax evasion: a co-evolutionary approach. Artif. Intell. Law 24(2): 149-182 (2016) - [c86]Yongwook Bryce Kim, Una-May O'Reilly:
Analysis of locality-sensitive hashing for fast critical event prediction on physiological time series. EMBC 2016: 783-787 - [c85]Yongwook Bryce Kim, Erik Hemberg, Una-May O'Reilly:
Stratified locality-sensitive hashing for accelerated physiological time series retrieval. EMBC 2016: 2479-2483 - [c84]Una-May O'Reilly:
Genetic Programming: A Tutorial Introduction. GECCO (Companion) 2016: 255-271 - [c83]Ignacio Arnaldo, Erik Hemberg, Una-May O'Reilly:
Multi-Line Batch Scheduling by Similarity. GECCO (Companion) 2016: 921-927 - [c82]Jacob B. Rosen, Erik Hemberg, Una-May O'Reilly:
Dynamics of Adversarial Co-evolution in Tax Non-Compliance Detection. GECCO (Companion) 2016: 1087-1094 - [c81]Erik Hemberg, Jacob B. Rosen, Una-May O'Reilly:
Investigating Multi-Population Competitive Coevolution for Anticipation of Tax Evasion. GPTP 2016: 35-51 - [c80]Una-May O'Reilly:
STEALTH: Modeling Coevolutionary Dynamics of Tax Evasion and Auditing. KDIR 2016: 9 - [c79]Una-May O'Reilly:
STEALTH: Modeling Coevolutionary Dynamics of Tax Evasion and Auditing. IJCCI (ECTA) 2016: 11 - 2015
- [j13]Ignacio Arnaldo, Kalyan Veeramachaneni, Andrew Song, Una-May O'Reilly:
Bring Your Own Learner: A Cloud-Based, Data-Parallel Commons for Machine Learning. IEEE Comput. Intell. Mag. 10(1): 20-32 (2015) - [j12]Kalyan Veeramachaneni, Ignacio Arnaldo, Owen Derby, Una-May O'Reilly:
FlexGP - Cloud-Based Ensemble Learning with Genetic Programming for Large Regression Problems. J. Grid Comput. 13(3): 391-407 (2015) - [j11]Monica Vitali, Barbara Pernici, Una-May O'Reilly:
Learning a goal-oriented model for energy efficient adaptive applications in data centers. Inf. Sci. 319: 152-170 (2015) - [c78]Jacob B. Rosen, Erik Hemberg, Geoff Warner, Sanith Wijesinghe, Una-May O'Reilly:
Computer Aided Tax Evasion Policy Analysis: Directed Search using Autonomous Agents. AAMAS 2015: 1825-1826 - [c77]Franck Dernoncourt, Kalyan Veeramachaneni, Una-May O'Reilly:
Gaussian Process-Based Feature Selection for Wavelet Parameters: Predicting Acute Hypotensive Episodes from Physiological Signals. CBMS 2015: 145-150 - [c76]Yongwook Bryce Kim, Una-May O'Reilly:
Large-scale physiological waveform retrieval via locality-sensitive hashing. EMBC 2015: 5829-5833 - [c75]Una-May O'Reilly:
Genetic Programming: A Tutorial Introduction. GECCO (Companion) 2015: 3-19 - [c74]Ignacio Arnaldo, Una-May O'Reilly, Kalyan Veeramachaneni:
Building Predictive Models via Feature Synthesis. GECCO 2015: 983-990 - [c73]Krzysztof Krawiec, Jerry Swan, Una-May O'Reilly:
Behavioral Program Synthesis: Insights and Prospects. GPTP 2015: 169-183 - [c72]Erik Hemberg, Jacob B. Rosen, Geoff Warner, Sanith Wijesinghe, Una-May O'Reilly:
Tax non-compliance detection using co-evolution of tax evasion risk and audit likelihood. ICAIL 2015: 79-88 - [c71]Kalyan Veeramachaneni, Alfredo Cuesta-Infante, Una-May O'Reilly:
Copula Graphical Models for Wind Resource Estimation. IJCAI 2015: 2646-2654 - [c70]Kalyan Veeramachaneni, Kiarash Adl, Una-May O'Reilly:
Feature Factory: Crowd Sourced Feature Discovery. L@S 2015: 373-376 - [c69]Yufei Ding, Jason Ansel, Kalyan Veeramachaneni, Xipeng Shen, Una-May O'Reilly, Saman P. Amarasinghe:
Autotuning algorithmic choice for input sensitivity. PLDI 2015: 379-390 - [p3]James McDermott, Una-May O'Reilly:
Genetic Programming. Handbook of Computational Intelligence 2015: 845-869 - 2014
- [j10]Pedro Fazenda, Kalyan Veeramachaneni, Pedro U. Lima, Una-May O'Reilly:
Using reinforcement learning to optimize occupant comfort and energy usage in HVAC systems. J. Ambient Intell. Smart Environ. 6(6): 675-690 (2014) - [j9]Timo Kötzing, Andrew M. Sutton, Frank Neumann, Una-May O'Reilly:
The Max problem revisited: The importance of mutation in genetic programming. Theor. Comput. Sci. 545: 94-107 (2014) - [c68]Jason Ansel, Shoaib Kamil, Kalyan Veeramachaneni, Jonathan Ragan-Kelley, Jeffrey Bosboom, Una-May O'Reilly, Saman P. Amarasinghe:
OpenTuner: an extensible framework for program autotuning. PACT 2014: 303-316 - [c67]Yongwook Bryce Kim, Joohyun Seo, Una-May O'Reilly:
Large-Scale Methodological Comparison of Acute Hypotensive Episode Forecasting Using MIMIC2 Physiological Waveforms. CBMS 2014: 319-324 - [c66]Ignacio Arnaldo, Kalyan Veeramachaneni, Una-May O'Reilly:
Flash: A GP-GPU Ensemble Learning System for Handling Large Datasets. EuroGP 2014: 13-24 - [c65]Conor Ryan, Krzysztof Krawiec, Una-May O'Reilly, Jeannie Fitzgerald, David Medernach:
Building a Stage 1 Computer Aided Detector for Breast Cancer Using Genetic Programming. EuroGP 2014: 162-173 - [c64]Krzysztof Krawiec, Una-May O'Reilly:
Behavioral Search Drivers for Genetic Programing. EuroGP 2014: 210-221 - [c63]Una-May O'Reilly:
Genetic programming: a tutorial introduction. GECCO (Companion) 2014: 227-250 - [c62]Dennis Wilson, Sylvain Cussat-Blanc, Kalyan Veeramachaneni, Una-May O'Reilly, Hervé Luga:
A continuous developmental model for wind farm layout optimization. GECCO 2014: 745-752 - [c61]Ignacio Arnaldo, Krzysztof Krawiec, Una-May O'Reilly:
Multiple regression genetic programming. GECCO 2014: 879-886 - [c60]Krzysztof Krawiec, Una-May O'Reilly:
Behavioral programming: a broader and more detailed take on semantic GP. GECCO 2014: 935-942 - [c59]Una-May O'Reilly, Anna Esparcia-Alcázar, Anne Auger, Carola Doerr, Anikó Ekárt, Gabriela Ochoa:
Women@GECCO 2014. GECCO (Companion) 2014: 1487-1488 - [i8]Kalyan Veeramachaneni, Sherif A. Halawa, Franck Dernoncourt, Una-May O'Reilly, Colin Taylor, Chuong B. Do:
MOOCdb: Developing Standards and Systems to Support MOOC Data Science. CoRR abs/1406.2015 (2014) - [i7]Kalyan Veeramachaneni, Una-May O'Reilly, Colin Taylor:
Towards Feature Engineering at Scale for Data from Massive Open Online Courses. CoRR abs/1407.5238 (2014) - [i6]Colin Taylor, Kalyan Veeramachaneni, Una-May O'Reilly:
Likely to stop? Predicting Stopout in Massive Open Online Courses. CoRR abs/1408.3382 (2014) - 2013
- [j8]David Robert White, James McDermott, Mauro Castelli, Luca Manzoni, Brian W. Goldman, Gabriel Kronberger, Wojciech Jaskowski, Una-May O'Reilly, Sean Luke:
Better GP benchmarks: community survey results and proposals. Genet. Program. Evolvable Mach. 14(1): 3-29 (2013) - [c58]Kalyan Veeramachaneni, Franck Dernoncourt, Colin Taylor, Zachary A. Pardos, Una-May O'Reilly:
Developing Data Standards and Systems for MOOC Data Science. AIED Workshops 2013 - [c57]Owen Derby, Kalyan Veeramachaneni, Una-May O'Reilly:
Cloud Driven Design of a Distributed Genetic Programming Platform. EvoApplications 2013: 509-518 - [c56]Dennis Wilson, Kalyan Veeramachaneni, Una-May O'Reilly:
Cloud Scale Distributed Evolutionary Strategies for High Dimensional Problems. EvoApplications 2013: 519-528 - [c55]Erik Hemberg, Constantin Berzan, Kalyan Veeramachaneni, Una-May O'Reilly:
Introducing graphical models to analyze genetic programming dynamics. FOGA 2013: 75-86 - [c54]Erik Hemberg, Kalyan Veeramachaneni, Franck Dernoncourt, Mark Wagy, Una-May O'Reilly:
Imprecise selection and fitness approximation in a large-scale evolutionary rule based system for blood pressure prediction. GECCO (Companion) 2013: 153-154 - [c53]Una-May O'Reilly:
Genetic programming: a tutorial introduction. GECCO (Companion) 2013: 247-264 - [c52]Dennis Wilson, Emmanuel Awa, Sylvain Cussat-Blanc, Kalyan Veeramachaneni, Una-May O'Reilly:
On learning to generate wind farm layouts. GECCO 2013: 767-774 - [c51]Kalyan Veeramachaneni, Owen Derby, Dylan Sherry, Una-May O'Reilly:
Learning regression ensembles with genetic programming at scale. GECCO 2013: 1117-1124 - [c50]Erik Hemberg, Kalyan Veeramachaneni, Franck Dernoncourt, Mark Wagy, Una-May O'Reilly:
Efficient training set use for blood pressure prediction in a large scale learning classifier system. GECCO (Companion) 2013: 1267-1274 - [c49]Babak Hodjat, Erik Hemberg, Hormoz Shahrzad, Una-May O'Reilly:
Maintenance of a Long Running Distributed Genetic Programming System for Solving Problems Requiring Big Data. GPTP 2013: 65-83 - [c48]Monica Vitali, Una-May O'Reilly, Kalyan Veeramachaneni:
Modeling Service Execution on Data Centers for Energy Efficiency and Quality of Service Monitoring. SMC 2013: 103-108 - [p2]James McDermott, Dylan Sherry, Una-May O'Reilly:
Evolutionary and Generative Music Informs Music HCI - And Vice Versa. Music and Human-Computer Interaction 2013: 223-240 - 2012
- [j7]Kalyan Veeramachaneni, Ekaterina Vladislavleva, Una-May O'Reilly:
Knowledge mining sensory evaluation data: genetic programming, statistical techniques, and swarm optimization. Genet. Program. Evolvable Mach. 13(1): 103-133 (2012) - [c47]Jason Ansel, Maciej Pacula, Yee Lok Wong, Cy P. Chan, Marek Olszewski, Una-May O'Reilly, Saman P. Amarasinghe:
Siblingrivalry: online autotuning through local competitions. CASES 2012: 91-100 - [c46]Kalyan Veeramachaneni, Markus Wagner, Una-May O'Reilly, Frank Neumann:
Optimizing energy output and layout costs for large wind farms using particle swarm optimization. IEEE Congress on Evolutionary Computation 2012: 1-7 - [c45]Maciej Pacula, Jason Ansel, Saman P. Amarasinghe, Una-May O'Reilly:
Hyperparameter Tuning in Bandit-Based Adaptive Operator Selection. EvoApplications 2012: 73-82 - [c44]Pedro Fazenda, James McDermott, Una-May O'Reilly:
A Library to Run Evolutionary Algorithms in the Cloud Using MapReduce. EvoApplications 2012: 416-425 - [c43]Dylan Sherry, Kalyan Veeramachaneni, James McDermott, Una-May O'Reilly:
Flex-GP: Genetic Programming on the Cloud. EvoApplications 2012: 477-486 - [c42]Kyle Ira Harrington, Lee Spector, Jordan B. Pollack, Una-May O'Reilly:
Autoconstructive evolution for structural problems. GECCO (Companion) 2012: 75-82 - [c41]Erik Hemberg, Kalyan Veeramachaneni, Una-May O'Reilly:
Graphical models and what they reveal about GP when it solves a symbolic regression problem. GECCO (Companion) 2012: 493-494 - [c40]Una-May O'Reilly:
Genetic programming: a tutorial introduction. GECCO (Companion) 2012: 693-710 - [c39]Erik Hemberg, Kalyan Veeramachaneni, James McDermott, Constantin Berzan, Una-May O'Reilly:
An investigation of local patterns for estimation of distribution genetic programming. GECCO 2012: 767-774 - [c38]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:
Genetic programming needs better benchmarks. GECCO 2012: 791-798 - [c37]Timo Kötzing, Andrew M. Sutton, Frank Neumann, Una-May O'Reilly:
The max problem revisited: the importance of mutation in genetic programming. GECCO 2012: 1333-1340 - [p1]Una-May O'Reilly, Nadya T. Bliss, Sanjeev Mohindra, Julie Mullen, Eric Robinson:
A Knowledge-Based Operator for a Genetic Algorithm which Optimizes the Distribution of Sparse Matrix Data. Parallel Architectures and Bioinspired Algorithms 2012: 219-241 - 2011
- [j6]Kalyan Veeramachaneni, Ekaterina Vladislavleva, Una-May O'Reilly:
Feature extraction from optimization samples via ensemble based symbolic regression. Ann. Math. Artif. Intell. 61(2): 105-123 (2011) - [c36]James McDermott, Una-May O'Reilly, Leonardo Vanneschi, Kalyan Veeramachaneni:
How Far Is It from Here to There? A Distance That Is Coherent with GP Operators. EuroGP 2011: 190-202 - [c35]Greg Durrett, Frank Neumann, Una-May O'Reilly:
Computational complexity analysis of simple genetic programming on two problems modeling isolated program semantics. FOGA 2011: 69-80 - [c34]James McDermott, Una-May O'Reilly:
An executable graph representation for evolutionary generative music. GECCO 2011: 403-410 - [c33]Una-May O'Reilly:
Genetic programming: a tutorial introduction. GECCO (Companion) 2011: 861-874 - [c32]Jason Ansel, Maciej Pacula, Saman P. Amarasinghe, Una-May O'Reilly:
An efficient evolutionary algorithm for solving incrementally structured problems. GECCO 2011: 1699-1706 - 2010
- [j5]Una-May O'Reilly, Eric Robinson, Sanjeev Mohindra, Julie Mullen, Nadya Travinin Bliss:
Hogs and slackers: Using operations balance in a genetic algorithm to optimize sparse algebra computation on distributed architectures. Parallel Comput. 36(10-11): 635-644 (2010) - [c31]Katya Vladislavleva, Kalyan Veeramachaneni, Una-May O'Reilly, Matt Burland, Jason Parcon:
Learning a Lot from Only a Little: Genetic Programming for Panel Segmentation on Sparse Sensory Evaluation Data. EuroGP 2010: 244-255 - [c30]Greg Durrett, Muriel Médard, Una-May O'Reilly:
A Genetic Algorithm to Minimize Chromatic Entropy. EvoCOP 2010: 59-70 - [c29]Katya Vladislavleva, Kalyan Veeramachaneni, Matt Burland, Jason Parcon, Una-May O'Reilly:
Knowledge mining with genetic programming methods for variable selection in flavor design. GECCO 2010: 941-948 - [c28]Kalyan Veeramachaneni, Katya Vladislavleva, Matt Burland, Jason Parcon, Una-May O'Reilly:
Evolutionary optimization of flavors. GECCO 2010: 1291-1298 - [c27]Kalyan Veeramachaneni, Katya Vladislavleva, Una-May O'Reilly:
Feature Extraction from Optimization Data via DataModeler's Ensemble Symbolic Regression. LION 2010: 251-265 - [i5]Greg Durrett, Frank Neumann, Una-May O'Reilly:
Computational Complexity Analysis of Simple Genetic Programming On Two Problems Modeling Isolated Program Semantics. CoRR abs/1007.4636 (2010)
2000 – 2009
- 2009
- [c26]Ying L. Becker, Una-May O'Reilly:
Genetic programming for quantitative stock selection. GEC Summit 2009: 9-16 - [c25]Minkyu Kim, Muriel Médard, Una-May O'Reilly, Danail Traskov:
An Evolutionary Approach To Inter-Session Network Coding. INFOCOM 2009: 450-458 - 2008
- [c24]Martin Hemberg, Una-May O'Reilly, Achim Menges, Katrin Jonas, Michel Gonçalves, Steven Fuchs:
Genr8: Architects' Experience with an Emergent Design Tool. The Art of Artificial Evolution 2008: 167-188 - 2007
- [j4]Una-May O'Reilly, Martin Hemberg:
Integrating generative growth and evolutionary computation for form exploration. Genet. Program. Evolvable Mach. 8(2): 163-186 (2007) - [c23]Varun Aggarwal, Una-May O'Reilly:
Simulation-based reusable posynomial models for MOS transistor parameters. DATE 2007: 69-74 - [c22]Minkyu Kim, Varun Aggarwal, Una-May O'Reilly, Muriel Médard, Wonsik Kim:
Genetic Representations for Evolutionary Minimization of Network Coding Resources. EvoWorkshops 2007: 21-31 - [c21]Varun Aggarwal, Una-May O'Reilly:
COSMO: a correlation sensitive mutation operator for multi-objective optimization. GECCO 2007: 741-748 - [c20]Minkyu Kim, Varun Aggarwal, Una-May O'Reilly, Muriel Médard:
A doubly distributed genetic algorithm for network coding. GECCO 2007: 1272-1279 - [c19]Minkyu Kim, Muriel Médard, Varun Aggarwal, Una-May O'Reilly, Wonsik Kim, Chang Wook Ahn, Michelle Effros:
Evolutionary Approaches To Minimizing Network Coding Resources. INFOCOM 2007: 1991-1999 - [c18]Varun Aggarwal, Karl Berggren, Una-May O'Reilly:
On the "Evolvable Hardware" Approach to Electronic Design Invention. WEAH 2007: 46-54 - [i4]Minkyu Kim, Varun Aggarwal, Una-May O'Reilly, Muriel Médard:
A Doubly Distributed Genetic Algorithm for Network Coding. CoRR abs/0704.1198 (2007) - [i3]Minkyu Kim, Muriel Médard, Varun Aggarwal, Una-May O'Reilly, Wonsik Kim, Chang Wook Ahn, Michelle Effros:
Evolutionary Approaches to Minimizing Network Coding Resources. CoRR abs/cs/0702037 (2007) - [i2]Minkyu Kim, Varun Aggarwal, Una-May O'Reilly, Muriel Médard, Wonsik Kim:
Genetic Representations for Evolutionary Minimization of Network Coding Resources. CoRR abs/cs/0702038 (2007) - 2006
- [c17]Varun Aggarwal, Meng Mao, Una-May O'Reilly:
A Self-Tuning Analog Proportional-Integral-Derivative (PID) Controller. AHS 2006: 12-19 - [c16]Michael A. Terry, Jonathan Marcus, Matthew Farrell, Varun Aggarwal, Una-May O'Reilly:
GRACE: Generative Robust Analog Circuit Exploration. EvoWorkshops 2006: 332-343 - [c15]Varun Aggarwal, Wesley O. Jin, Una-May O'Reilly:
Filter approximation using explicit time and frequency domain specifications. GECCO 2006: 753-760 - 2005
- [e4]Hans-Georg Beyer, Una-May O'Reilly:
Genetic and Evolutionary Computation Conference, GECCO 2005, Proceedings, Washington DC, USA, June 25-29, 2005. ACM 2005, ISBN 1-59593-010-8 [contents] - [i1]Kumara Sastry, Una-May O'Reilly, David E. Goldberg:
Population Sizing for Genetic Programming Based Upon Decision Making. CoRR abs/cs/0502020 (2005) - 2004
- [j3]Rodney A. Brooks, Lijin Aryananda, Aaron Edsinger, Paul M. Fitzpatrick, Charles C. Kemp, Una-May O'Reilly, Eduardo Torres-Jara, Paulina Varshavskaya, Jeff Weber:
Sensing and Manipulating Built-for-Human Environments. Int. J. Humanoid Robotics 1(1): 1-28 (2004) - [c14]Una-May O'Reilly:
Emergent design: opportunities for agent-based and evolutionary computation. IEEE Congress on Evolutionary Computation 2004 - [c13]Martin Hemberg, Una-May O'Reilly:
Extending Grammatical Evolution to Evolve Digital Surfaces with Genr8. EuroGP 2004: 299-308 - [c12]Yann Semet, Una-May O'Reilly, Frédo Durand:
An Interactive Artificial Ant Approach to Non-photorealistic Rendering. GECCO (1) 2004: 188-200 - [c11]Una-May O'Reilly:
Emergent Design: Opportunities for Hybridizing Agent-Based and Evolutionary Computation. HIS 2004: 2 - [e3]Maarten Keijzer, Una-May O'Reilly, Simon M. Lucas, Ernesto Costa, Terence Soule:
Genetic Programming, 7th European Conference, EuroGP2004, Coimbra, Portugal, April 5-7, 2004, Proceedings. Lecture Notes in Computer Science 3003, Springer 2004, ISBN 3-540-21346-5 [contents] - 2003
- [j2]Una-May O'Reilly, Nicola Santoro:
Tight Bounds for Synchronous Communication of Information Using Bits, Silence. Discret. Appl. Math. 129(1): 195-209 (2003) - [c10]Mark Stephenson, Una-May O'Reilly, Martin C. Martin, Saman P. Amarasinghe:
Genetic Programming Applied to Compiler Heuristic Optimization. EuroGP 2003: 238-253 - [c9]Diego Puppin, Mark Stephenson, Saman P. Amarasinghe, Martin C. Martin, Una-May O'Reilly:
Adapting Convergent Scheduling Using Machine-Learning. LCPC 2003: 17-31 - [c8]Mark Stephenson, Saman P. Amarasinghe, Martin C. Martin, Una-May O'Reilly:
Meta optimization: improving compiler heuristics with machine learning. PLDI 2003: 77-90 - [e2]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:
Genetic and Evolutionary Computation - GECCO 2003, Genetic and Evolutionary Computation Conference, Chicago, IL, USA, July 12-16, 2003. Proceedings, Part I. Lecture Notes in Computer Science 2723, Springer 2003, ISBN 3-540-40602-6 [contents] - [e1]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:
Genetic and Evolutionary Computation - GECCO 2003, Genetic and Evolutionary Computation Conference, Chicago, IL, USA, July 12-16, 2003. Proceedings, Part II. Lecture Notes in Computer Science 2724, Springer 2003, ISBN 3-540-40603-4 [contents] - 2000
- [c7]Una-May O'Reilly, Nicola Santoro:
Asynchronous to Synchronous transformations. OPODIS 2000: 265-282
1990 – 1999
- 1998
- [c6]Una-May O'Reilly:
The Impact of External Dependency in Genetic Programming Primitives. Canadian AI 1998: 154-168 - [c5]David E. Goldberg, Una-May O'Reilly:
Where Does the Good Stuff Go, and Why? How Contextual Semantics Influences Program Structure in Simple Genetic Programming. EuroGP 1998: 16-36 - 1994
- [j1]Una-May O'Reilly:
Book Review: Genetic Programming II - Automatic Discovery of Reusable Programs by John R Koza. Artif. Life 1(4): 439-441 (1994) - [c4]Una-May O'Reilly, Franz Oppacher:
The Troubling Aspects of a Building Block Hypothesis for Genetic Programming. FOGA 1994: 73-88 - [c3]Una-May O'Reilly, Franz Oppacher:
Program Search with a Hierarchical Variable Lenght Representation: Genetic Programming, Simulated Annealing and Hill Climbing. PPSN 1994: 397-406 - 1992
- [c2]Una-May O'Reilly, Franz Oppacher:
An Experimental Perspective on Genetic Programming. PPSN 1992: 333-342 - [c1]Una-May O'Reilly, Nicola Santoro:
The Expressiveness of Silence: Tight Bounds for Synchronous Communication of Information Using Bits and Silence. WG 1992: 321-332
Coauthor Index
[j20] [j19] [c166] [c165] [c164] [c162] [i42] [j18] [j17] [c160] [c159] [c158] [c157] [c155] [c154] [i40] [i39] [c151] [c150] [c149] [c148] [c147] [c146] [c144] [c143] [c142] [j16] [c139] [c138] [c136] [c135] [c133] [c131] [i35] [i34] [i33] [i32] [i31] [j15] [c129] [c128] [c127] [c124] [c123] [c122] [c121] [c120] [p6] [p5] [i30] [i29] [i28] [i27] [i25] [i23] [c119] [c118] [c117] [c116] [c115] [c114] [c113] [c112] [c111] [c110] [c109] [c108] [c107] [c106] [i21] [c105] [c103] [c101] [c100] [c99] [p4] [i19] [i18] [i17] [i16] [i15] [i12] [i11] [i10] [c98] [c97] [c96] [c95] [c93] [c92] [c90] [c89] [c88] [c87] [i9] [j14] [c85] [c83] [c82] [c81] [c78] [c72] [c55] [c54] [c50] [c49] [c41] [c39]
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