Una-May O'Reilly
MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, USA
http://people.csail.mit.edu/unamay/
https://dl.acm.org/profile/81100434482
https://orcid.org/0000-0001-6923-8445
Erik Hemberg
Stephen Moskal
Una-May O'Reilly
Evolving Code with A Large Language Model.
2024
abs/2401.07102
CoRR
https://doi.org/10.48550/arXiv.2401.07102
db/journals/corr/corr2401.html#abs-2401-07102
Jamal Toutouh
Subhash Nalluru
Erik Hemberg
Una-May O'Reilly
Semi-supervised generative adversarial networks with spatial coevolution for enhanced image generation and classification.
110890
2023
November
148
Appl. Soft Comput.
https://doi.org/10.1016/j.asoc.2023.110890
db/journals/asc/asc148.html#ToutouhNHO23
Alexander Shashkov
Erik Hemberg
Miguel Tulla
Una-May O'Reilly
Adversarial agent-learning for cybersecurity: a comparison of algorithms.
e3
2023
38
Knowl. Eng. Rev.
https://doi.org/10.1017/S0269888923000012
db/journals/ker/ker38.html#ShashkovHTO23
Robert Gold
Henrique Branquinho
Erik Hemberg
Una-May O'Reilly
Pablo García-Sánchez
Genetic Programming and Coevolution to Play the Bomberman™ Video Game.
765-779
2023
EvoApplications@EvoStar
https://doi.org/10.1007/978-3-031-30229-9_49
conf/evoapps/2023
db/conf/evoapps/evoapps2023.html#GoldBHOG13
Jamal Toutouh
Subhash Nalluru
Erik Hemberg
Una-May O'Reilly
Semi-Supervised Learning with Coevolutionary Generative Adversarial Networks.
568-576
2023
GECCO
https://doi.org/10.1145/3583131.3590426
conf/gecco/2023
db/conf/gecco/gecco2023.html#ToutouhNHO23
Una-May O'Reilly
Erik Hemberg
Genetic Programming: A Tutorial Introduction.
1026-1036
2023
GECCO Companion
https://doi.org/10.1145/3583133.3595061
conf/gecco/2023c
db/conf/gecco/gecco2023c.html#OReillyH23
Per Kristian Lehre
Mario Alejandro Hevia Fajardo
Jamal Toutouh
Erik Hemberg
Una-May O'Reilly
Analysis of a Pairwise Dominance Coevolutionary Algorithm And DefendIt.
1027-1035
2023
GECCO
https://doi.org/10.1145/3583131.3590411
conf/gecco/2023
db/conf/gecco/gecco2023.html#LehreFTHO23
Jamal Toutouh
Una-May O'Reilly
Coevolutionary Computation for Adversarial Deep Learning.
1379-1398
2023
GECCO Companion
https://doi.org/10.1145/3583133.3595049
conf/gecco/2023c
db/conf/gecco/gecco2023c.html#ToutouhO23
ByeongJo Kong
Erik Hemberg
Ana Bell
Una-May O'Reilly
Investigating Student's Problem-solving Approaches in MOOCs using Natural Language Processing.
262-272
2023
LAK
https://doi.org/10.1145/3576050.3576091
conf/lak/2023
db/conf/lak/lak2023.html#KongHBO23
Michael Wang
Shashank Srikant
Malavika Samak
Una-May O'Reilly
RaceInjector: Injecting Races to Evaluate and Learn Dynamic Race Detection Algorithms.
63-70
2023
SOAP@PLDI
https://doi.org/10.1145/3589250.3596142
conf/pldi/2023soap
db/conf/pldi/soap2023.html#WangSSO23
Jinghan Jia
Shashank Srikant
Tamara Mitrovska
Chuang Gan
Shiyu Chang
Sijia Liu 0001
Una-May O'Reilly
ClawSAT: Towards Both Robust and Accurate Code Models.
212-223
2023
SANER
https://doi.org/10.1109/SANER56733.2023.00029
conf/wcre/2023
db/conf/wcre/saner2023.html#JiaSMGCLO23
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.
2023
abs/2304.12373
CoRR
https://doi.org/10.48550/arXiv.2304.12373
db/journals/corr/corr2304.html#abs-2304-12373
Aruna Sankaranarayanan
Erik Hemberg
Una-May O'Reilly
The Facebook Algorithm's Active Role in Climate Advertisement Delivery.
2023
abs/2308.03191
CoRR
https://doi.org/10.48550/arXiv.2308.03191
db/journals/corr/corr2308.html#abs-2308-03191
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.
2023
abs/2310.06936
CoRR
https://doi.org/10.48550/arXiv.2310.06936
db/journals/corr/corr2310.html#abs-2310-06936
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.
38-44
2022
CIC
https://doi.org/10.1109/CIC56439.2022.00016
conf/coinco/2022
db/conf/coinco/cic2022.html#GaribayYABHJMMORSG22
Sabrina Tseng
Erik Hemberg
Una-May O'Reilly
Synthesizing Programs from Program Pieces Using Genetic Programming and Refinement Type Checking.
197-211
2022
EuroGP
https://doi.org/10.1007/978-3-031-02056-8_13
conf/eurogp/2022
db/conf/eurogp/eurogp2022.html#TsengHO22
Dirk Schweim
Erik Hemberg
Dominik Sobania
Una-May O'Reilly
Exploiting Knowledge from Code to Guide Program Search.
262-277
2022
EuroGP
https://doi.org/10.1007/978-3-031-02056-8_17
conf/eurogp/2022
db/conf/eurogp/eurogp2022.html#SchweimHSO22
Diana Flores
Erik Hemberg
Jamal Toutouh
Una-May O'Reilly
Coevolutionary generative adversarial networks for medical image augumentation at scale.
367-376
2022
GECCO
https://doi.org/10.1145/3512290.3528742
conf/gecco/2022
db/conf/gecco/gecco2022.html#FloresHTO22
Ying Zhao 0006
Erik Hemberg
Nate Derbinsky
Gabino Mata
Una-May O'Reilly
Using domain knowledge in coevolution and reinforcement learning to simulate a logistics enterprise.
514-517
2022
GECCO Companion
https://doi.org/10.1145/3520304.3528990
conf/gecco/2022c
db/conf/gecco/gecco2022c.html#0006HDMO22
Matthew J. Turner
Erik Hemberg
Una-May O'Reilly
Analyzing multi-agent reinforcement learning and coevolution in cybersecurity.
1290-1298
2022
GECCO
https://doi.org/10.1145/3512290.3528844
conf/gecco/2022
db/conf/gecco/gecco2022.html#TurnerHO22
Jamal Toutouh
Una-May O'Reilly
Coevolutionary computation for adversarial deep learning.
1487-1505
2022
GECCO Companion
https://doi.org/10.1145/3520304.3533651
conf/gecco/2022c
db/conf/gecco/gecco2022c.html#ToutouhO22
Stephen Moskal
Erik Hemberg
Una-May O'Reilly
CyberEvo: evolutionary search of knowledge-based behaviors in a cyber attack campaign.
2168-2176
2022
GECCO Companion
https://doi.org/10.1145/3520304.3533999
conf/gecco/2022c
db/conf/gecco/gecco2022c.html#MoskalHO22
Robert Gold
Andrew Haydn Grant
Erik Hemberg
Chathika Gunaratne
Una-May O'Reilly
GUI-based, efficient genetic programming for Unity3D.
2310-2313
2022
GECCO Companion
https://doi.org/10.1145/3520304.3534022
conf/gecco/2022c
db/conf/gecco/gecco2022c.html#GoldGHGO22
Jaeyoon Kim
Una-May O'Reilly
Junhee Seok
Computer Code Representation through Natural Language Processing for fMRI Data Analysis.
184-187
2022
ICAIIC
https://doi.org/10.1109/ICAIIC54071.2022.9722644
conf/icaiic/2022
db/conf/icaiic/icaiic2022.html#KimOS22
Shashank Srikant
Ben Lipkin
Anna A. Ivanova
Evelina Fedorenko
Una-May O'Reilly
Convergent Representations of Computer Programs in Human and Artificial Neural Networks.
2022
conf/nips/2022
NeurIPS
http://papers.nips.cc/paper_files/paper/2022/hash/77b5aaf2826c95c98e5eb4ab830073de-Abstract-Conference.html
db/conf/nips/neurips2022.html#SrikantLIFO22
Jinghan Jia
Shashank Srikant
Tamara Mitrovska
Chuang Gan
Shiyu Chang
Sijia Liu 0001
Una-May O'Reilly
CLAWSAT: Towards Both Robust and Accurate Code Models.
2022
abs/2211.11711
CoRR
https://doi.org/10.48550/arXiv.2211.11711
db/journals/corr/corr2211.html#abs-2211-11711
Erik Hemberg
Jamal Toutouh
Abdullah Al-Dujaili
Tom Schmiedlechner
Una-May O'Reilly
Spatial Coevolution for Generative Adversarial Network Training.
6:1-6:28
2021
1
ACM Trans. Evol. Learn. Optim.
2
https://doi.org/10.1145/3458845
db/journals/telo/telo1.html#HembergTASO21
Jordan Wick
Erik Hemberg
Una-May O'Reilly
Getting a Head Start on Program Synthesis with Genetic Programming.
263-279
2021
EuroGP
https://doi.org/10.1007/978-3-030-72812-0_17
conf/eurogp/2021
db/conf/eurogp/eurogp2021.html#WickHO21
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.
331-332
2021
GECCO Companion
https://doi.org/10.1145/3449726.3459548
conf/gecco/2021c
db/conf/gecco/gecco2021c.html#SchweimHSOR21
Jamal Toutouh
Una-May O'Reilly
Signal propagation in a gradient-based and evolutionary learning system.
377-385
2021
GECCO
https://doi.org/10.1145/3449639.3459319
conf/gecco/2021
db/conf/gecco/gecco2021.html#ToutouhO21
Una-May O'Reilly
Erik Hemberg
Genetic programming: a tutorial introduction.
443-453
2021
GECCO Companion
https://doi.org/10.1145/3449726.3461394
conf/gecco/2021c
db/conf/gecco/gecco2021c.html#OReillyH21
Michal Shlapentokh-Rothman
Jonathan Kelly
Avital Baral
Erik Hemberg
Una-May O'Reilly
Coevolutionary modeling of cyber attack patterns and mitigations using public datasets.
714-722
2021
GECCO
https://doi.org/10.1145/3449639.3459351
conf/gecco/2021
db/conf/gecco/gecco2021.html#Shlapentokh-Rothman21
Jamal Toutouh
Una-May O'Reilly
Coevolutionary computation for adversarial deep learning.
983-1001
2021
GECCO Companion
https://doi.org/10.1145/3449726.3461419
conf/gecco/2021c
db/conf/gecco/gecco2021c.html#ToutouhO21a
Ying Zhao 0006
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.
1907-1915
2021
GECCO Companion
https://doi.org/10.1145/3449726.3463172
conf/gecco/2021c
db/conf/gecco/gecco2021c.html#0006HDMO21
Shashank Srikant
Sijia Liu 0001
Tamara Mitrovska
Shiyu Chang
Quanfu Fan
Gaoyuan Zhang
Una-May O'Reilly
Generating Adversarial Computer Programs using Optimized Obfuscations.
2021
ICLR
https://openreview.net/forum?id=PH5PH9ZO_4
conf/iclr/2021
db/conf/iclr/iclr2021.html#Srikant0MCFZO21
Alexander Shashkov
Robert Gold
Erik Hemberg
ByeongJo Kong
Ana Bell
Una-May O'Reilly
Analyzing Student Reflection Sentiments and Problem-Solving Procedures in MOOCs.
247-250
2021
L@S
https://doi.org/10.1145/3430895.3460150
conf/lats/2021
db/conf/lats/lats2021.html#ShashkovGHKBO21
Una-May O'Reilly
Xavier Devroey
Search-Based Software Engineering - 13th International Symposium, SSBSE 2021, Bari, Italy, October 11-12, 2021, Proceedings
SSBSE
Springer
2021
Lecture Notes in Computer Science
12914
978-3-030-88105-4
978-3-030-88106-1
https://doi.org/10.1007/978-3-030-88106-1
db/conf/ssbse/ssbse2021.html
Jamal Toutouh
Una-May O'Reilly
Signal Propagation in a Gradient-Based and Evolutionary Learning System.
2021
abs/2102.08929
CoRR
https://arxiv.org/abs/2102.08929
db/journals/corr/corr2102.html#abs-2102-08929
Shashank Srikant
Sijia Liu 0001
Tamara Mitrovska
Shiyu Chang
Quanfu Fan
Gaoyuan Zhang
Una-May O'Reilly
Generating Adversarial Computer Programs using Optimized Obfuscations.
2021
abs/2103.11882
CoRR
https://arxiv.org/abs/2103.11882
db/journals/corr/corr2103.html#abs-2103-11882
Prakruthi Karuna
Erik Hemberg
Una-May O'Reilly
Nick Rutar
Automating Cyber Threat Hunting Using NLP, Automated Query Generation, and Genetic Perturbation.
2021
abs/2104.11576
CoRR
https://arxiv.org/abs/2104.11576
db/journals/corr/corr2104.html#abs-2104-11576
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.
2021
abs/2104.13254
CoRR
https://arxiv.org/abs/2104.13254
db/journals/corr/corr2104.html#abs-2104-13254
Jamal Toutouh
Erik Hemberg
Una-May O'Reilly
Fostering Diversity in Spatial Evolutionary Generative Adversarial Networks.
2021
abs/2106.13590
CoRR
https://arxiv.org/abs/2106.13590
db/journals/corr/corr2106.html#abs-2106-13590
Erik Hemberg
Una-May O'Reilly
Using a Collated Cybersecurity Dataset for Machine Learning and Artificial Intelligence.
2021
abs/2108.02618
CoRR
https://arxiv.org/abs/2108.02618
db/journals/corr/corr2108.html#abs-2108-02618
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.
2021
abs/2108.11025
CoRR
https://arxiv.org/abs/2108.11025
db/journals/corr/corr2108.html#abs-2108-11025
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.
219-250
2020
21
Genet. Program. Evolvable Mach.
1-2
https://doi.org/10.1007/s10710-020-09389-y
db/journals/gpem/gpem21.html#OReillyTPSGLKH20
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.
61-70
2020
AISec@CCS
https://doi.org/10.1145/3411508.3421374
conf/ccs/2020aisec
db/conf/ccs/aisec2020.html#VerwerNHBAO20
Jamal Toutouh
Erik Hemberg
Una-May O'Reilly
Re-purposing heterogeneous generative ensembles with evolutionary computation.
425-434
2020
GECCO
https://doi.org/10.1145/3377930.3390229
conf/gecco/2020
db/conf/gecco/gecco2020.html#ToutouhHO20
Una-May O'Reilly
Erik Hemberg
Genetic programming: a tutorial introduction.
512-525
2020
GECCO Companion
https://doi.org/10.1145/3377929.3389882
conf/gecco/2020c
db/conf/gecco/gecco2020c.html#OReillyH20
Michal Shlapentokh-Rothman
Erik Hemberg
Una-May O'Reilly
Securing the software defined perimeter with evolutionary co-optimization.
1528-1536
2020
GECCO Companion
https://doi.org/10.1145/3377929.3398085
conf/gecco/2020c
db/conf/gecco/gecco2020c.html#Shlapentokh-Rothman20
Abdullah Al-Dujaili
Una-May O'Reilly
Sign Bits Are All You Need for Black-Box Attacks.
2020
ICLR
https://openreview.net/forum?id=SygW0TEFwH
conf/iclr/2020
db/conf/iclr/iclr2020.html#Al-DujailiO20
Sijia Liu 0001
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.
6282-6293
2020
ICML
http://proceedings.mlr.press/v119/liu20j.html
conf/icml/2020
db/conf/icml/icml2020.html#0001LCFXAHO20
Emiliano Pérez
Sergio Nesmachnow
Jamal Toutouh
Erik Hemberg
Una-May O'Reilly
Parallel/distributed implementation of cellular training for generative adversarial neural networks.
512-518
2020
IPDPS Workshops
https://doi.org/10.1109/IPDPSW50202.2020.00092
conf/ipps/2020w
db/conf/ipps/ipdps2020w.html#PerezNTHO20
Hao Shen
Leming Liang
Nancy Law
Erik Hemberg
Una-May O'Reilly
Understanding Learner Behavior Through Learning Design Informed Learning Analytics.
135-145
2020
L@S
https://doi.org/10.1145/3386527.3405919
conf/lats/2020
db/conf/lats/lats2020.html#ShenLLHO20
Hannah Burd
Ana Bell
Erik Hemberg
Una-May O'Reilly
Analyzing Pre-Existing Knowledge and Performance in a Programming MOOC.
281-284
2020
L@S
https://doi.org/10.1145/3386527.3406728
conf/lats/2020
db/conf/lats/lats2020.html#BurdBHO20
Robert Gold
Erik Hemberg
Una-May O'Reilly
Analyzing K-12 Blended MOOC Learning Behaviors.
345-348
2020
L@S
https://doi.org/10.1145/3386527.3406743
conf/lats/2020
db/conf/lats/lats2020.html#GoldHO20
Jamal Toutouh
Erik Hemberg
Una-May O'Reilly
Analyzing the Components of Distributed Coevolutionary GAN Training.
552-566
2020
PPSN (1)
https://doi.org/10.1007/978-3-030-58112-1_38
conf/ppsn/2020-1
db/conf/ppsn/ppsn2020-1.html#ToutouhHO20
Erik Hemberg
Linda Zhang 0003
Una-May O'Reilly
Exploring Adversarial Artificial Intelligence for Autonomous Adaptive Cyber Defense.
41-61
2020
Adaptive Autonomous Secure Cyber Systems
https://doi.org/10.1007/978-3-030-33432-1_3
books/sp/20/JCSS2020
db/books/collections/JCSS2020.html#HembergZO20
Jamal Toutouh
Erik Hemberg
Una-May O'Reilly
Data Dieting in GAN Training.
379-400
2020
Deep Neural Evolution
https://doi.org/10.1007/978-981-15-3685-4_14
series/ncs/2020IN
db/series/ncs/IN2020.html#ToutouhHO20
Jamal Toutouh
Erik Hemberg
Una-May O'Reilly
Re-purposing Heterogeneous Generative Ensembles with Evolutionary Computation.
2020
abs/2003.13532
CoRR
https://arxiv.org/abs/2003.13532
db/journals/corr/corr2003.html#abs-2003-13532
Emiliano Pérez
Sergio Nesmachnow
Jamal Toutouh
Erik Hemberg
Una-May O'Reilly
Parallel/distributed implementation of cellular training for generative adversarial neural networks.
2020
abs/2004.04633
CoRR
https://arxiv.org/abs/2004.04633
db/journals/corr/corr2004.html#abs-2004-04633
Jamal Toutouh
Una-May O'Reilly
Erik Hemberg
Data Dieting in GAN Training.
2020
abs/2004.04642
CoRR
https://arxiv.org/abs/2004.04642
db/journals/corr/corr2004.html#abs-2004-04642
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.
2020
abs/2004.04647
CoRR
https://arxiv.org/abs/2004.04647
db/journals/corr/corr2004.html#abs-2004-04647
Shashank Srikant
Nicolas Lesimple
Una-May O'Reilly
Dependency-Based Neural Representations for Classifying Lines of Programs.
2020
abs/2004.10166
CoRR
https://arxiv.org/abs/2004.10166
db/journals/corr/corr2004.html#abs-2004-10166
Jamal Toutouh
Erik Hemberg
Una-May O'Reilly
Analyzing the Components of Distributed Coevolutionary GAN Training.
2020
abs/2008.01124
CoRR
https://arxiv.org/abs/2008.01124
db/journals/corr/corr2008.html#abs-2008-01124
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.
2020
abs/2009.13562
CoRR
https://arxiv.org/abs/2009.13562
db/journals/corr/corr2009.html#abs-2009-13562
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.
2020
abs/2010.00533
CoRR
https://arxiv.org/abs/2010.00533
db/journals/corr/corr2010.html#abs-2010-00533
Jonathan Kelly
Erik Hemberg
Una-May O'Reilly
Improving Genetic Programming with Novel Exploration - Exploitation Control.
64-80
2019
EuroGP
https://doi.org/10.1007/978-3-030-16670-0_5
conf/eurogp/2019
db/conf/eurogp/eurogp2019.html#KellyHO19
Jamal Toutouh
Erik Hemberg
Una-May O'Reilly
Spatial evolutionary generative adversarial networks.
472-480
2019
GECCO
https://doi.org/10.1145/3321707.3321860
conf/gecco/2019
db/conf/gecco/gecco2019.html#ToutouhHO19
Una-May O'Reilly
Erik Hemberg
Introduction to genetic programming.
710-725
2019
GECCO (Companion)
https://doi.org/10.1145/3319619.3323398
conf/gecco/2019c
db/conf/gecco/gecco2019c.html#OReillyH19
Erik Hemberg
Jonathan Kelly
Una-May O'Reilly
On domain knowledge and novelty to improve program synthesis performance with grammatical evolution.
1039-1046
2019
GECCO
https://doi.org/10.1145/3321707.3321865
conf/gecco/2019
db/conf/gecco/gecco2019.html#HembergKO19
Jonathan Kelly
Michael DeLaus
Erik Hemberg
Una-May O'Reilly
Adversarially Adapting Deceptive Views and Reconnaissance Scans on a Software Defined Network.
49-54
2019
IM
https://ieeexplore.ieee.org/document/8717927
conf/im/2019
db/conf/im/im2019.html#KellyDHO19
Mucong Ding
Yanbang Wang
Erik Hemberg
Una-May O'Reilly
Transfer Learning using Representation Learning in Massive Open Online Courses.
145-154
2019
LAK
https://doi.org/10.1145/3303772.3303794
conf/lak/2019
db/conf/lak/lak2019.html#DingWHO19
Yanbang Wang
Nancy Law
Erik Hemberg
Una-May O'Reilly
Using Detailed Access Trajectories for Learning Behavior Analysis.
290-299
2019
LAK
https://doi.org/10.1145/3303772.3303781
conf/lak/2019
db/conf/lak/lak2019.html#WangLHO19
Ayesha Bajwa
Erik Hemberg
Ana Bell
Una-May O'Reilly
Student Code Trajectories in an Introductory Programming MOOC.
33:1-33:4
2019
L@S
https://doi.org/10.1145/3330430.3333646
conf/lats/2019
db/conf/lats/lats2019.html#BajwaHBO19
Li Wang
Erik Hemberg
Una-May O'Reilly
On the Influence of Grades on Learning Behavior of Students in MOOCs.
39:1-39:4
2019
L@S
https://doi.org/10.1145/3330430.3333652
conf/lats/2019
db/conf/lats/lats2019.html#WangHO19
Sagar Biswas
Nancy Law
Erik Hemberg
Una-May O'Reilly
Investigating Learning Design Categorization and Learning Behaviour in Computational MOOCS.
50:1-50:4
2019
L@S
https://doi.org/10.1145/3330430.3333664
conf/lats/2019
db/conf/lats/lats2019.html#BiswasLHO19
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.
47-52
2019
LWMOOCS
https://doi.org/10.1109/LWMOOCS47620.2019.8939643
conf/lwmoocs/2019
db/conf/lwmoocs/lwmoocs2019.html#MaiyuranBBHO19
Ayesha Bajwa
Ana Bell
Erik Hemberg
Una-May O'Reilly
Analyzing Student Code Trajectories in an Introductory Programming MOOC.
53-58
2019
LWMOOCS
https://doi.org/10.1109/LWMOOCS47620.2019.8939666
conf/lwmoocs/2019
db/conf/lwmoocs/lwmoocs2019.html#BajwaBHO19
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.
116-121
2019
LWMOOCS
https://doi.org/10.1109/LWMOOCS47620.2019.8939650
conf/lwmoocs/2019
db/conf/lwmoocs/lwmoocs2019.html#HembergBBLO19
Li Wang
Erik Hemberg
Una-May O'Reilly
The Influence of Grades on Learning Behavior in MOOCs: Certification vs, Continued Participation.
122-127
2019
LWMOOCS
https://doi.org/10.1109/LWMOOCS47620.2019.8939614
conf/lwmoocs/2019
db/conf/lwmoocs/lwmoocs2019.html#WangHO19
Abdullah Al-Dujaili
Una-May O'Reilly
There are No Bit Parts for Sign Bits in Black-Box Attacks.
2019
abs/1902.06894
CoRR
http://arxiv.org/abs/1902.06894
db/journals/corr/corr1902.html#abs-1902-06894
Jamal Toutouh
Erik Hemberg
Una-May O'Reilly
Spatial Evolutionary Generative Adversarial Networks.
2019
abs/1905.12702
CoRR
http://arxiv.org/abs/1905.12702
db/journals/corr/corr1905.html#abs-1905-12702
Sijia Liu 0001
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.
2019
abs/1909.13806
CoRR
http://arxiv.org/abs/1909.13806
db/journals/corr/corr1909.html#abs-1909-13806
Una-May O'Reilly
Erik Hemberg
An Artificial Coevolutionary Framework for Adversarial AI.
50-55
2018
AAAI Fall Symposium: ALEC
https://ceur-ws.org/Vol-2269/FSS-18_paper_37.pdf
conf/aaaifs/2018alec
db/conf/aaaifs/alec2018.html#OReillyH18
Gili Rusak
Abdullah Al-Dujaili
Una-May O'Reilly
AST-Based Deep Learning for Detecting Malicious PowerShell.
2276-2278
2018
CCS
https://doi.org/10.1145/3243734.3278496
conf/ccs/2018
db/conf/ccs/ccs2018.html#RusakAO18
Daniel Prado Sanchez
Marcos A. Pertierra
Erik Hemberg
Una-May O'Reilly
Competitive coevolutionary algorithm decision support.
300-301
2018
GECCO (Companion)
https://doi.org/10.1145/3205651.3205784
conf/gecco/2018c
db/conf/gecco/gecco2018c.html#SanchezPHO18
Una-May O'Reilly
Genetic programming: a tutorial introduction.
489-503
2018
GECCO (Companion)
https://doi.org/10.1145/3205651.3207870
conf/gecco/2018c
db/conf/gecco/gecco2018c.html#OReilly18
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.
1648-1655
2018
GECCO (Companion)
https://doi.org/10.1145/3205651.3208287
conf/gecco/2018c
db/conf/gecco/gecco2018c.html#HembergZSWO18
Ruggiero Dargenio
Shashank Srikant
Erik Hemberg
Una-May O'Reilly
Exploring the Use of Autoencoders for Botnets Traffic Representation.
57-62
2018
IEEE Symposium on Security and Privacy Workshops
https://doi.org/10.1109/SPW.2018.00017
conf/sp/2018w
db/conf/sp/spw2018.html#DargenioSHO18
Abdullah Al-Dujaili
Alex Huang
Erik Hemberg
Una-May O'Reilly
Adversarial Deep Learning for Robust Detection of Binary Encoded Malware.
76-82
2018
IEEE Symposium on Security and Privacy Workshops
https://doi.org/10.1109/SPW.2018.00020
conf/sp/2018w
db/conf/sp/spw2018.html#Al-DujailiHHO18
Erik Hemberg
Anthony Erb Lugo
Dennis Garcia
Una-May O'Reilly
Grammatical Evolution with Coevolutionary Algorithms in Cyber Security.
407-431
2018
Handbook of Grammatical Evolution
https://doi.org/10.1007/978-3-319-78717-6_17
books/sp/ROC2018
db/books/collections/ROC2018.html#HembergLGO18
Alex Huang
Abdullah Al-Dujaili
Erik Hemberg
Una-May O'Reilly
Adversarial Deep Learning for Robust Detection of Binary Encoded Malware.
2018
abs/1801.02950
CoRR
http://arxiv.org/abs/1801.02950
db/journals/corr/corr1801.html#abs-1801-02950
Abdullah Al-Dujaili
Erik Hemberg
Una-May O'Reilly
Approximating Nash Equilibria for Black-Box Games: A Bayesian Optimization Approach.
2018
abs/1804.10586
CoRR
http://arxiv.org/abs/1804.10586
db/journals/corr/corr1804.html#abs-1804-10586
Alex Huang
Abdullah Al-Dujaili
Erik Hemberg
Una-May O'Reilly
On Visual Hallmarks of Robustness to Adversarial Malware.
2018
abs/1805.03553
CoRR
http://arxiv.org/abs/1805.03553
db/journals/corr/corr1805.html#abs-1805-03553
Abdullah Al-Dujaili
Shashank Srikant
Erik Hemberg
Una-May O'Reilly
On the Application of Danskin's Theorem to Derivative-Free Minimax Optimization.
2018
abs/1805.06322
CoRR
http://arxiv.org/abs/1805.06322
db/journals/corr/corr1805.html#abs-1805-06322
Tom Schmiedlechner
Abdullah Al-Dujaili
Erik Hemberg
Una-May O'Reilly
Towards Distributed Coevolutionary GANs.
2018
abs/1807.08194
CoRR
http://arxiv.org/abs/1807.08194
db/journals/corr/corr1807.html#abs-1807-08194
Gili Rusak
Abdullah Al-Dujaili
Una-May O'Reilly
AST-Based Deep Learning for Detecting Malicious PowerShell.
2018
abs/1810.09230
CoRR
http://arxiv.org/abs/1810.09230
db/journals/corr/corr1810.html#abs-1810-09230
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.
2018
abs/1811.06106
CoRR
http://arxiv.org/abs/1811.06106
db/journals/corr/corr1811.html#abs-1811-06106
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.
2018
abs/1811.12843
CoRR
http://arxiv.org/abs/1811.12843
db/journals/corr/corr1811.html#abs-1811-12843
Mucong Ding
Yanbang Wang
Erik Hemberg
Una-May O'Reilly
Transfer Learning using Representation Learning in Massive Open Online Courses.
2018
abs/1812.05043
CoRR
http://arxiv.org/abs/1812.05043
db/journals/corr/corr1812.html#abs-1812-05043
Yanbang Wang
Nancy Law
Erik Hemberg
Una-May O'Reilly
Using Detailed Access Trajectories for Learning Behavior Analysis.
2018
abs/1812.05767
CoRR
http://arxiv.org/abs/1812.05767
db/journals/corr/corr1812.html#abs-1812-05767
Stjepan Picek
Erik Hemberg
Una-May O'Reilly
If You Can't Measure It, You Can't Improve It: Moving Target Defense Metrics.
115-118
2017
MTD@CCS
https://doi.org/10.1145/3140549.3140558
conf/ccs/2017mtd
db/conf/ccs/mtd2017.html#PicekHO17
Yongwook Bryce Kim
Erik Hemberg
Una-May O'Reilly
Collision frequency locality-sensitive hashing for prediction of critical events.
3088-3093
2017
EMBC
https://doi.org/10.1109/EMBC.2017.8037510
https://www.wikidata.org/entity/Q47738809
conf/embc/2017
db/conf/embc/embc2017.html#KimHO17
Pasquale Salza
Erik Hemberg
Filomena Ferrucci
Una-May O'Reilly
cCube: a cloud microservices architecture for evolutionary machine learning classification.
137-138
2017
GECCO (Companion)
https://doi.org/10.1145/3067695.3076089
conf/gecco/2017c
db/conf/gecco/gecco2017c.html#SalzaHFO17
Anthony Erb Lugo
Dennis Garcia
Erik Hemberg
Una-May O'Reilly
Developing proactive defenses for computer networks with coevolutionary genetic algorithms.
273-274
2017
GECCO (Companion)
https://doi.org/10.1145/3067695.3089234
conf/gecco/2017c
db/conf/gecco/gecco2017c.html#LugoGHO17
Una-May O'Reilly
Genetic programming: a tutorial introduction.
471-488
2017
GECCO (Companion)
https://doi.org/10.1145/3067695.3067709
conf/gecco/2017c
db/conf/gecco/gecco2017c.html#OReilly17
Pasquale Salza
Erik Hemberg
Filomena Ferrucci
Una-May O'Reilly
Towards evolutionary machine learning comparison, competition, and collaboration with a multi-cloud platform.
1263-1270
2017
GECCO (Companion)
https://doi.org/10.1145/3067695.3082474
conf/gecco/2017c
db/conf/gecco/gecco2017c.html#SalzaHFO17a
Dennis Garcia
Anthony Erb Lugo
Erik Hemberg
Una-May O'Reilly
Investigating coevolutionary archive based genetic algorithms on cyber defense networks.
1455-1462
2017
GECCO (Companion)
https://doi.org/10.1145/3067695.3076081
conf/gecco/2017c
db/conf/gecco/gecco2017c.html#GarciaLHO17
Stjepan Picek
Domagoj Jakobovic
Una-May O'Reilly
CryptoBench: benchmarking evolutionary algorithms with cryptographic problems.
1597-1604
2017
GECCO (Companion)
https://doi.org/10.1145/3067695.3082535
conf/gecco/2017c
db/conf/gecco/gecco2017c.html#PicekJO17
Steven B. Fine
Erik Hemberg
Krzysztof Krawiec
Una-May O'Reilly
Exploiting Subprograms in Genetic Programming.
1-16
2017
GPTP
https://doi.org/10.1007/978-3-319-90512-9_1
conf/gptp/2017
db/conf/gptp/gptp2017.html#FineHKO17
Stjepan Picek
Erik Hemberg
Domagoj Jakobovic
Una-May O'Reilly
One-Class Classification of Low Volume DoS Attacks with Genetic Programming.
149-168
2017
GPTP
https://doi.org/10.1007/978-3-319-90512-9_10
conf/gptp/2017
db/conf/gptp/gptp2017.html#PicekHJO17
Marcos A. Pertierra
Sarah Lawsky
Erik Hemberg
Una-May O'Reilly
Towards Formalizing Statute Law as Default Logic through Automatic Semantic Parsing.
2017
ASAIL@ICAIL
https://ceur-ws.org/Vol-2143/paper9.pdf
conf/icail/2017asail
db/conf/icail/asail2017.html#PertierraLHO17
Miguel Paredes
Erik Hemberg
Una-May O'Reilly
Chris Zegras
Machine learning or discrete choice models for car ownership demand estimation and prediction?
780-785
2017
MT-ITS
https://doi.org/10.1109/MTITS.2017.8005618
conf/mtits/2017
db/conf/mtits/mtits2017.html#ParedesHOZ17
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.
IJCCI
SciTePress
2017
978-989-758-274-5
http://www.scitepress.org/DigitalLibrary/ProceedingsDetails.aspx?ID=cC2jSedaYNw=
db/conf/ijcci/ijcci2017.html
Alessandro De Palma
Erik Hemberg
Una-May O'Reilly
Distributed Stratified Locality Sensitive Hashing for Critical Event Prediction in the Cloud.
2017
abs/1712.00206
CoRR
http://arxiv.org/abs/1712.00206
db/journals/corr/corr1712.html#abs-1712-00206
Erik Hemberg
Jacob B. Rosen
Geoff Warner
Sanith Wijesinghe
Una-May O'Reilly
Detecting tax evasion: a co-evolutionary approach.
149-182
2016
24
Artif. Intell. Law
2
https://doi.org/10.1007/s10506-016-9181-6
db/journals/ail/ail24.html#HembergRWWO16
Yongwook Bryce Kim
Una-May O'Reilly
Analysis of locality-sensitive hashing for fast critical event prediction on physiological time series.
783-787
2016
EMBC
https://doi.org/10.1109/EMBC.2016.7590818
https://www.wikidata.org/entity/Q38924332
conf/embc/2016
db/conf/embc/embc2016.html#KimO16
Yongwook Bryce Kim
Erik Hemberg
Una-May O'Reilly
Stratified locality-sensitive hashing for accelerated physiological time series retrieval.
2479-2483
2016
EMBC
https://doi.org/10.1109/EMBC.2016.7591233
https://www.wikidata.org/entity/Q38405317
conf/embc/2016
db/conf/embc/embc2016.html#KimHO16
Una-May O'Reilly
Genetic Programming: A Tutorial Introduction.
255-271
2016
GECCO (Companion)
https://doi.org/10.1145/2908961.2926984
conf/gecco/2016c
db/conf/gecco/gecco2016c.html#OReilly16
Ignacio Arnaldo
Erik Hemberg
Una-May O'Reilly
Multi-Line Batch Scheduling by Similarity.
921-927
2016
GECCO (Companion)
https://doi.org/10.1145/2908961.2931647
conf/gecco/2016c
db/conf/gecco/gecco2016c.html#ArnaldoHO16
Jacob B. Rosen
Erik Hemberg
Una-May O'Reilly
Dynamics of Adversarial Co-evolution in Tax Non-Compliance Detection.
1087-1094
2016
GECCO (Companion)
https://doi.org/10.1145/2908961.2931680
conf/gecco/2016c
db/conf/gecco/gecco2016c.html#RosenHO16
Erik Hemberg
Jacob B. Rosen
Una-May O'Reilly
Investigating Multi-Population Competitive Coevolution for Anticipation of Tax Evasion.
35-51
2016
GPTP
https://doi.org/10.1007/978-3-319-97088-2_3
conf/gptp/2016
db/conf/gptp/gptp2016.html#HembergRO16
Una-May O'Reilly
STEALTH: Modeling Coevolutionary Dynamics of Tax Evasion and Auditing.
9
2016
KDIR
conf/ic3k/2016kdir
db/conf/ic3k/kdir2016.html#OReilly16
Una-May O'Reilly
STEALTH: Modeling Coevolutionary Dynamics of Tax Evasion and Auditing.
11
2016
IJCCI (ECTA)
conf/ijcci/2016ecta
db/conf/ijcci/ijcci2016ecta.html#OReilly16
Ignacio Arnaldo
Kalyan Veeramachaneni
Andrew Song
Una-May O'Reilly
Bring Your Own Learner: A Cloud-Based, Data-Parallel Commons for Machine Learning.
20-32
2015
10
IEEE Comput. Intell. Mag.
1
https://doi.org/10.1109/MCI.2014.2369892
https://www.wikidata.org/entity/Q114894755
db/journals/cim/cim10.html#ArnaldoVSO15
Kalyan Veeramachaneni
Ignacio Arnaldo
Owen Derby
Una-May O'Reilly
FlexGP - Cloud-Based Ensemble Learning with Genetic Programming for Large Regression Problems.
391-407
2015
13
J. Grid Comput.
3
https://doi.org/10.1007/s10723-014-9320-9
db/journals/grid/grid13.html#VeeramachaneniA15
Monica Vitali
Barbara Pernici
Una-May O'Reilly
Learning a goal-oriented model for energy efficient adaptive applications in data centers.
152-170
2015
319
Inf. Sci.
https://doi.org/10.1016/j.ins.2015.01.023
db/journals/isci/isci319.html#VitaliPO15
Jacob B. Rosen
Erik Hemberg
Geoff Warner
Sanith Wijesinghe
Una-May O'Reilly
Computer Aided Tax Evasion Policy Analysis: Directed Search using Autonomous Agents.
1825-1826
2015
AAMAS
http://dl.acm.org/citation.cfm?id=2773456
conf/atal/2015
db/conf/atal/aamas2015.html#RosenHWWO15
Franck Dernoncourt
Kalyan Veeramachaneni
Una-May O'Reilly
Gaussian Process-Based Feature Selection for Wavelet Parameters: Predicting Acute Hypotensive Episodes from Physiological Signals.
145-150
2015
CBMS
https://doi.org/10.1109/CBMS.2015.88
https://doi.ieeecomputersociety.org/10.1109/CBMS.2015.88
conf/cbms/2015
db/conf/cbms/cbms2015.html#DernoncourtVO15
Yongwook Bryce Kim
Una-May O'Reilly
Large-scale physiological waveform retrieval via locality-sensitive hashing.
5829-5833
2015
EMBC
https://doi.org/10.1109/EMBC.2015.7319717
https://www.wikidata.org/entity/Q40137353
conf/embc/2015
db/conf/embc/embc2015.html#KimO15
Una-May O'Reilly
Genetic Programming: A Tutorial Introduction.
3-19
2015
GECCO (Companion)
https://doi.org/10.1145/2739482.2756592
conf/gecco/2015c
db/conf/gecco/gecco2015c.html#OReilly15
Ignacio Arnaldo
Una-May O'Reilly
Kalyan Veeramachaneni
Building Predictive Models via Feature Synthesis.
983-990
2015
GECCO
https://doi.org/10.1145/2739480.2754693
conf/gecco/2015
db/conf/gecco/gecco2015.html#ArnaldoOV15
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.
79-88
2015
ICAIL
https://doi.org/10.1145/2746090.2746099
conf/icail/2015
db/conf/icail/icail2015.html#HembergRWWO15
Kalyan Veeramachaneni
Alfredo Cuesta-Infante
Una-May O'Reilly
Copula Graphical Models for Wind Resource Estimation.
2646-2654
2015
IJCAI
http://ijcai.org/Abstract/15/375
conf/ijcai/2015
db/conf/ijcai/ijcai2015.html#VeeramachaneniC15
Kalyan Veeramachaneni
Kiarash Adl
Una-May O'Reilly
Feature Factory: Crowd Sourced Feature Discovery.
373-376
2015
L@S
https://doi.org/10.1145/2724660.2728696
conf/lats/2015
db/conf/lats/lats2015.html#VeeramachaneniA15
Yufei Ding
Jason Ansel
Kalyan Veeramachaneni
Xipeng Shen
Una-May O'Reilly
Saman P. Amarasinghe
Autotuning algorithmic choice for input sensitivity.
379-390
2015
PLDI
https://doi.org/10.1145/2737924.2737969
https://doi.org/10.1145/2813885.2737969
https://www.wikidata.org/entity/Q57437247
conf/pldi/2015
db/conf/pldi/pldi2015.html#DingAVSOA15
James McDermott
Una-May O'Reilly
Genetic Programming.
845-869
2015
Handbook of Computational Intelligence
https://doi.org/10.1007/978-3-662-43505-2_43
reference/sp/2015ci
db/reference/sp/ci2015.html#McDermottO15
Pedro Fazenda
Kalyan Veeramachaneni
Pedro U. Lima
Una-May O'Reilly
Using reinforcement learning to optimize occupant comfort and energy usage in HVAC systems.
675-690
2014
6
J. Ambient Intell. Smart Environ.
6
https://doi.org/10.3233/AIS-140288
https://www.wikidata.org/entity/Q114584495
db/journals/jaise/jaise6.html#FazendaVLO14
Timo Kötzing
Andrew M. Sutton
Frank Neumann 0001
Una-May O'Reilly
The Max problem revisited: The importance of mutation in genetic programming.
94-107
2014
545
Theor. Comput. Sci.
https://doi.org/10.1016/j.tcs.2013.06.014
db/journals/tcs/tcs545.html#KotzingSNO14
Jason Ansel
Shoaib Kamil 0001
Kalyan Veeramachaneni
Jonathan Ragan-Kelley
Jeffrey Bosboom
Una-May O'Reilly
Saman P. Amarasinghe
OpenTuner: an extensible framework for program autotuning.
303-316
2014
PACT
https://doi.org/10.1145/2628071.2628092
conf/IEEEpact/2014
db/conf/IEEEpact/pact2014.html#AnselKVRBOA14
Yongwook Bryce Kim
Joohyun Seo
Una-May O'Reilly
Large-Scale Methodological Comparison of Acute Hypotensive Episode Forecasting Using MIMIC2 Physiological Waveforms.
319-324
2014
CBMS
https://doi.org/10.1109/CBMS.2014.24
https://doi.ieeecomputersociety.org/10.1109/CBMS.2014.24
conf/cbms/2014
db/conf/cbms/cbms2014.html#KimSO14
Ignacio Arnaldo
Kalyan Veeramachaneni
Una-May O'Reilly
Flash: A GP-GPU Ensemble Learning System for Handling Large Datasets.
13-24
2014
EuroGP
https://doi.org/10.1007/978-3-662-44303-3_2
conf/eurogp/2014
db/conf/eurogp/eurogp2014.html#ArnaldoVO14
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.
162-173
2014
EuroGP
https://doi.org/10.1007/978-3-662-44303-3_14
conf/eurogp/2014
db/conf/eurogp/eurogp2014.html#RyanKOFM14
Krzysztof Krawiec
Una-May O'Reilly
Behavioral Search Drivers for Genetic Programing.
210-221
2014
EuroGP
https://doi.org/10.1007/978-3-662-44303-3_18
conf/eurogp/2014
db/conf/eurogp/eurogp2014.html#KrawiecO14
Una-May O'Reilly
Genetic programming: a tutorial introduction.
227-250
2014
GECCO (Companion)
https://doi.org/10.1145/2598394.2605336
conf/gecco/2014c
db/conf/gecco/gecco2014c.html#OReilly14
Dennis Wilson
Sylvain Cussat-Blanc
Kalyan Veeramachaneni
Una-May O'Reilly
Hervé Luga
A continuous developmental model for wind farm layout optimization.
745-752
2014
GECCO
https://doi.org/10.1145/2576768.2598383
conf/gecco/2014
db/conf/gecco/gecco2014.html#WilsonCVOL14
Ignacio Arnaldo
Krzysztof Krawiec
Una-May O'Reilly
Multiple regression genetic programming.
879-886
2014
GECCO
https://doi.org/10.1145/2576768.2598291
conf/gecco/2014
db/conf/gecco/gecco2014.html#ArnaldoKO14
Krzysztof Krawiec
Una-May O'Reilly
Behavioral programming: a broader and more detailed take on semantic GP.
935-942
2014
GECCO
https://doi.org/10.1145/2576768.2598288
conf/gecco/2014
db/conf/gecco/gecco2014.html#KrawiecO14
Una-May O'Reilly
Anna Esparcia-Alcázar
Anne Auger
Carola Doerr
Anikó Ekárt
Gabriela Ochoa
Women@GECCO 2014.
1487-1488
2014
GECCO (Companion)
https://doi.org/10.1145/2598394.2611386
conf/gecco/2014c
db/conf/gecco/gecco2014c.html#OReillyEADEO14
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.
2014
abs/1406.2015
CoRR
http://arxiv.org/abs/1406.2015
db/journals/corr/corr1406.html#VeeramachaneniHDOTD14
Kalyan Veeramachaneni
Una-May O'Reilly
Colin Taylor
Towards Feature Engineering at Scale for Data from Massive Open Online Courses.
2014
abs/1407.5238
CoRR
http://arxiv.org/abs/1407.5238
db/journals/corr/corr1407.html#VeeramachaneniOT14
Colin Taylor
Kalyan Veeramachaneni
Una-May O'Reilly
Likely to stop? Predicting Stopout in Massive Open Online Courses.
2014
abs/1408.3382
CoRR
http://arxiv.org/abs/1408.3382
db/journals/corr/corr1408.html#TaylorVO14
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.
3-29
2013
14
Genet. Program. Evolvable Mach.
1
https://doi.org/10.1007/s10710-012-9177-2
https://www.wikidata.org/entity/Q62044799
db/journals/gpem/gpem14.html#WhiteMCMGKJOL13
Kalyan Veeramachaneni
Franck Dernoncourt
Colin Taylor
Zachary A. Pardos
Una-May O'Reilly
Developing Data Standards and Systems for MOOC Data Science.
2013
AIED Workshops
https://ceur-ws.org/Vol-1009/0104.pdf
conf/aied/2013w
db/conf/aied/aied2013w.html#VeeramachaneniDTPO13
Owen Derby
Kalyan Veeramachaneni
Una-May O'Reilly
Cloud Driven Design of a Distributed Genetic Programming Platform.
509-518
2013
conf/evoW/2013a
EvoApplications
https://doi.org/10.1007/978-3-642-37192-9_51
db/conf/evoW/evoappl2013.html#DerbyVO13
Dennis Wilson
Kalyan Veeramachaneni
Una-May O'Reilly
Cloud Scale Distributed Evolutionary Strategies for High Dimensional Problems.
519-528
2013
conf/evoW/2013a
EvoApplications
https://doi.org/10.1007/978-3-642-37192-9_52
db/conf/evoW/evoappl2013.html#WilsonVO13
Erik Hemberg
Constantin Berzan
Kalyan Veeramachaneni
Una-May O'Reilly
Introducing graphical models to analyze genetic programming dynamics.
75-86
2013
FOGA
https://doi.org/10.1145/2460239.2460247
conf/foga/2013
db/conf/foga/foga2013.html#HembergBVO13
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.
153-154
2013
GECCO (Companion)
https://doi.org/10.1145/2464576.2464656
conf/gecco/2013c
db/conf/gecco/gecco2013c.html#HembergVDWO13
Una-May O'Reilly
Genetic programming: a tutorial introduction.
247-264
2013
GECCO (Companion)
https://doi.org/10.1145/2464576.2480797
conf/gecco/2013c
db/conf/gecco/gecco2013c.html#OReilly13
Dennis Wilson
Emmanuel Awa
Sylvain Cussat-Blanc
Kalyan Veeramachaneni
Una-May O'Reilly
On learning to generate wind farm layouts.
767-774
2013
GECCO
https://doi.org/10.1145/2463372.2463462
conf/gecco/2013
db/conf/gecco/gecco2013.html#WilsonACVO13
Kalyan Veeramachaneni
Owen Derby
Dylan Sherry
Una-May O'Reilly
Learning regression ensembles with genetic programming at scale.
1117-1124
2013
GECCO
https://doi.org/10.1145/2463372.2463506
conf/gecco/2013
db/conf/gecco/gecco2013.html#VeeramachaneniDSO13
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.
1267-1274
2013
GECCO (Companion)
https://doi.org/10.1145/2464576.2482705
conf/gecco/2013c
db/conf/gecco/gecco2013c.html#HembergVDWO13a
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.
65-83
2013
GPTP
https://doi.org/10.1007/978-1-4939-0375-7_4
conf/gptp/2013
db/conf/gptp/gptp2013.html#HodjatHSO13
Monica Vitali
Una-May O'Reilly
Kalyan Veeramachaneni
Modeling Service Execution on Data Centers for Energy Efficiency and Quality of Service Monitoring.
103-108
2013
SMC
https://doi.org/10.1109/SMC.2013.25
conf/smc/2013
db/conf/smc/smc2013.html#VitaliOV13
James McDermott
Dylan Sherry
Una-May O'Reilly
Evolutionary and Generative Music Informs Music HCI - And Vice Versa.
223-240
2013
Music and Human-Computer Interaction
https://doi.org/10.1007/978-1-4471-2990-5_13
books/sp/2013HWMS
db/books/collections/HWMS2013.html#McDermottSO13
Kalyan Veeramachaneni
Ekaterina Vladislavleva
Una-May O'Reilly
Knowledge mining sensory evaluation data: genetic programming, statistical techniques, and swarm optimization.
103-133
2012
13
Genet. Program. Evolvable Mach.
1
https://doi.org/10.1007/s10710-011-9153-2
db/journals/gpem/gpem13.html#VeeramachaneniVO12
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.
91-100
2012
CASES
https://doi.org/10.1145/2380403.2380425
conf/cases/2012
db/conf/cases/cases2012.html#AnselPWCOOA12
Kalyan Veeramachaneni
Markus Wagner 0007
Una-May O'Reilly
Frank Neumann 0001
Optimizing energy output and layout costs for large wind farms using particle swarm optimization.
1-7
2012
IEEE Congress on Evolutionary Computation
https://doi.org/10.1109/CEC.2012.6253002
conf/cec/2012
db/conf/cec/cec2012.html#VeeramachaneniWON12
Maciej Pacula
Jason Ansel
Saman P. Amarasinghe
Una-May O'Reilly
Hyperparameter Tuning in Bandit-Based Adaptive Operator Selection.
73-82
2012
EvoApplications
https://doi.org/10.1007/978-3-642-29178-4_8
conf/evoW/2012a
db/conf/evoW/evoappl2012.html#PaculaAAO12
Pedro Fazenda
James McDermott
Una-May O'Reilly
A Library to Run Evolutionary Algorithms in the Cloud Using MapReduce.
416-425
2012
EvoApplications
https://doi.org/10.1007/978-3-642-29178-4_42
conf/evoW/2012a
db/conf/evoW/evoappl2012.html#FazendaMO12
Dylan Sherry
Kalyan Veeramachaneni
James McDermott
Una-May O'Reilly
Flex-GP: Genetic Programming on the Cloud.
477-486
2012
EvoApplications
https://doi.org/10.1007/978-3-642-29178-4_48
conf/evoW/2012a
db/conf/evoW/evoappl2012.html#SherryVMO12
Kyle Ira Harrington
Lee Spector
Jordan B. Pollack
Una-May O'Reilly
Autoconstructive evolution for structural problems.
75-82
2012
GECCO (Companion)
https://doi.org/10.1145/2330784.2330797
conf/gecco/2012c
db/conf/gecco/gecco2012c.html#HarringtonSPO12
Erik Hemberg
Kalyan Veeramachaneni
Una-May O'Reilly
Graphical models and what they reveal about GP when it solves a symbolic regression problem.
493-494
2012
GECCO (Companion)
https://doi.org/10.1145/2330784.2330860
conf/gecco/2012c
db/conf/gecco/gecco2012c.html#HembergVO12
Una-May O'Reilly
Genetic programming: a tutorial introduction.
693-710
2012
GECCO (Companion)
https://doi.org/10.1145/2330784.2330912
conf/gecco/2012c
db/conf/gecco/gecco2012c.html#OReilly12
Erik Hemberg
Kalyan Veeramachaneni
James McDermott
Constantin Berzan
Una-May O'Reilly
An investigation of local patterns for estimation of distribution genetic programming.
767-774
2012
GECCO
https://doi.org/10.1145/2330163.2330270
conf/gecco/2012
db/conf/gecco/gecco2012.html#HembergVMBO12
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.
791-798
2012
GECCO
https://doi.org/10.1145/2330163.2330273
https://www.wikidata.org/entity/Q62044805
conf/gecco/2012
db/conf/gecco/gecco2012.html#McDermottWLMCVJKHJO12
Timo Kötzing
Andrew M. Sutton
Frank Neumann 0001
Una-May O'Reilly
The max problem revisited: the importance of mutation in genetic programming.
1333-1340
2012
GECCO
https://doi.org/10.1145/2330163.2330348
conf/gecco/2012
db/conf/gecco/gecco2012.html#KotzingSNO12
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.
219-241
2012
Parallel Architectures and Bioinspired Algorithms
https://doi.org/10.1007/978-3-642-28789-3_10
series/sci/2012-415
db/series/sci/sci415.html#OReillyBMMR12
Kalyan Veeramachaneni
Ekaterina Vladislavleva
Una-May O'Reilly
Feature extraction from optimization samples via ensemble based symbolic regression.
105-123
2011
61
Ann. Math. Artif. Intell.
2
https://doi.org/10.1007/s10472-011-9229-y
db/journals/amai/amai61.html#VeeramachaneniVO11
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.
190-202
2011
EuroGP
https://doi.org/10.1007/978-3-642-20407-4_17
https://www.wikidata.org/entity/Q62680457
conf/eurogp/2011
db/conf/eurogp/eurogp2011.html#McDermottOVV11
Greg Durrett
Frank Neumann 0001
Una-May O'Reilly
Computational complexity analysis of simple genetic programming on two problems modeling isolated program semantics.
69-80
2011
FOGA
https://doi.org/10.1145/1967654.1967661
conf/foga/2011
db/conf/foga/foga2011.html#DurrettNO11
James McDermott
Una-May O'Reilly
An executable graph representation for evolutionary generative music.
403-410
2011
GECCO
https://doi.org/10.1145/2001576.2001632
conf/gecco/2011
db/conf/gecco/gecco2011.html#McDermottO11
Una-May O'Reilly
Genetic programming: a tutorial introduction.
861-874
2011
GECCO (Companion)
https://doi.org/10.1145/2001858.2002117
conf/gecco/2011c
db/conf/gecco/gecco2011c.html#OReilly11
Jason Ansel
Maciej Pacula
Saman P. Amarasinghe
Una-May O'Reilly
An efficient evolutionary algorithm for solving incrementally structured problems.
1699-1706
2011
GECCO
https://doi.org/10.1145/2001576.2001805
conf/gecco/2011
db/conf/gecco/gecco2011.html#AnselPAO11
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.
635-644
2010
36
Parallel Comput.
10-11
https://doi.org/10.1016/j.parco.2010.08.001
db/journals/pc/pc36.html#OReillyRMMB10
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.
244-255
2010
EuroGP
https://doi.org/10.1007/978-3-642-12148-7_21
conf/eurogp/2010
db/conf/eurogp/eurogp2010.html#VladislavlevaVOBP10
Greg Durrett
Muriel Médard
Una-May O'Reilly
A Genetic Algorithm to Minimize Chromatic Entropy.
59-70
2010
EvoCOP
https://doi.org/10.1007/978-3-642-12139-5_6
conf/evoW/2010cop
db/conf/evoW/evocop2010.html#DurrettMO10
Katya Vladislavleva
Kalyan Veeramachaneni
Matt Burland
Jason Parcon
Una-May O'Reilly
Knowledge mining with genetic programming methods for variable selection in flavor design.
941-948
2010
GECCO
https://doi.org/10.1145/1830483.1830651
conf/gecco/2010
db/conf/gecco/gecco2010.html#VladislavlevaVBPO10
Kalyan Veeramachaneni
Katya Vladislavleva
Matt Burland
Jason Parcon
Una-May O'Reilly
Evolutionary optimization of flavors.
1291-1298
2010
GECCO
https://doi.org/10.1145/1830483.1830713
conf/gecco/2010
db/conf/gecco/gecco2010.html#VeeramachaneniVBPR10
Kalyan Veeramachaneni
Katya Vladislavleva
Una-May O'Reilly
Feature Extraction from Optimization Data via DataModeler's Ensemble Symbolic Regression.
251-265
2010
LION
https://doi.org/10.1007/978-3-642-13800-3_28
conf/lion/2010
db/conf/lion/lion2010.html#VeeramachaneniVO10
Greg Durrett
Frank Neumann 0001
Una-May O'Reilly
Computational Complexity Analysis of Simple Genetic Programming On Two Problems Modeling Isolated Program Semantics
http://arxiv.org/abs/1007.4636
2010
CoRR
abs/1007.4636
db/journals/corr/corr1007.html#abs-1007-4636
Ying L. Becker
Una-May O'Reilly
Genetic programming for quantitative stock selection.
9-16
2009
GEC Summit
https://doi.org/10.1145/1543834.1543837
conf/gecco/2009
db/conf/gecco/gec2009.html#BeckerO09
Minkyu Kim 0002
Muriel Médard
Una-May O'Reilly
Danail Traskov
An Evolutionary Approach To Inter-Session Network Coding.
450-458
2009
INFOCOM
https://doi.org/10.1109/INFCOM.2009.5061950
conf/infocom/2009
db/conf/infocom/infocom2009.html#KimMOT09
Martin Hemberg
Una-May O'Reilly
Achim Menges
Katrin Jonas
Michel Gonçalves
Steven Fuchs
Genr8: Architects' Experience with an Emergent Design Tool.
167-188
2008
The Art of Artificial Evolution
https://doi.org/10.1007/978-3-540-72877-1_8
conf/ncs/2008evolution
db/conf/ncs/evolution2008.html#HembergOMJGF08
Una-May O'Reilly
Martin Hemberg
Integrating generative growth and evolutionary computation for form exploration.
163-186
2007
8
Genet. Program. Evolvable Mach.
2
https://doi.org/10.1007/s10710-007-9025-y
db/journals/gpem/gpem8.html#OReillyH07
Varun Aggarwal
Una-May O'Reilly
Simulation-based reusable posynomial models for MOS transistor parameters.
69-74
2007
conf/date/2007
DATE
https://doi.org/10.1109/DATE.2007.364569
https://doi.ieeecomputersociety.org/10.1109/DATE.2007.364569
http://dl.acm.org/citation.cfm?id=1266384
db/conf/date/date2007.html#AggarwalO07
Minkyu Kim 0002
Varun Aggarwal
Una-May O'Reilly
Muriel Médard
Wonsik Kim
Genetic Representations for Evolutionary Minimization of Network Coding Resources.
21-31
2007
conf/evoW/2007
EvoWorkshops
https://doi.org/10.1007/978-3-540-71805-5_3
db/conf/evoW/evoW2007.html#KimAOMK07
Varun Aggarwal
Una-May O'Reilly
COSMO: a correlation sensitive mutation operator for multi-objective optimization.
741-748
2007
conf/gecco/2007
GECCO
https://doi.org/10.1145/1276958.1277111
db/conf/gecco/gecco2007.html#AggarwalO07
Minkyu Kim 0002
Varun Aggarwal
Una-May O'Reilly
Muriel Médard
A doubly distributed genetic algorithm for network coding.
1272-1279
2007
conf/gecco/2007
GECCO
https://doi.org/10.1145/1276958.1277201
db/conf/gecco/gecco2007.html#KimAOM07
Minkyu Kim 0002
Muriel Médard
Varun Aggarwal
Una-May O'Reilly
Wonsik Kim
Chang Wook Ahn
Michelle Effros
Evolutionary Approaches To Minimizing Network Coding Resources.
1991-1999
2007
conf/infocom/2007
INFOCOM
https://doi.org/10.1109/INFCOM.2007.231
db/conf/infocom/infocom2007.html#KimMAOKAE07
Varun Aggarwal
Karl Berggren
Una-May O'Reilly
On the "Evolvable Hardware" Approach to Electronic Design Invention.
46-54
2007
WEAH
https://doi.org/10.1109/WEAH.2007.361712
conf/weah/2007
db/conf/weah/weah2007.html#AggarwalBO07
Minkyu Kim 0002
Varun Aggarwal
Una-May O'Reilly
Muriel Médard
A Doubly Distributed Genetic Algorithm for Network Coding
http://arxiv.org/abs/0704.1198
2007
CoRR
abs/0704.1198
db/journals/corr/corr0704.html#abs-0704-1198
Minkyu Kim 0002
Muriel Médard
Varun Aggarwal
Una-May O'Reilly
Wonsik Kim
Chang Wook Ahn
Michelle Effros
Evolutionary Approaches to Minimizing Network Coding Resources
http://arxiv.org/abs/cs/0702037
2007
CoRR
abs/cs/0702037
db/journals/corr/corr0702.html#abs-cs-0702037
Minkyu Kim 0002
Varun Aggarwal
Una-May O'Reilly
Muriel Médard
Wonsik Kim
Genetic Representations for Evolutionary Minimization of Network Coding Resources
http://arxiv.org/abs/cs/0702038
2007
CoRR
abs/cs/0702038
db/journals/corr/corr0702.html#abs-cs-0702038
Varun Aggarwal
Meng Mao
Una-May O'Reilly
A Self-Tuning Analog Proportional-Integral-Derivative (PID) Controller.
12-19
2006
conf/ahs/2006
AHS
https://doi.org/10.1109/AHS.2006.12
https://doi.ieeecomputersociety.org/10.1109/AHS.2006.12
db/conf/ahs/ahs2006.html#AggarwalMO06
Michael A. Terry
Jonathan Marcus
Matthew Farrell
Varun Aggarwal
Una-May O'Reilly
GRACE: Generative Robust Analog Circuit Exploration.
332-343
2006
conf/evoW/2006
EvoWorkshops
https://doi.org/10.1007/11732242_30
db/conf/evoW/evoW2006.html#TerryMFAO06
Varun Aggarwal
Wesley O. Jin
Una-May O'Reilly
Filter approximation using explicit time and frequency domain specifications.
753-760
2006
conf/gecco/2006
GECCO
https://doi.org/10.1145/1143997.1144132
db/conf/gecco/gecco2006.html#AggarwalJO06
Hans-Georg Beyer
Una-May O'Reilly
Genetic and Evolutionary Computation Conference, GECCO 2005, Proceedings, Washington DC, USA, June 25-29, 2005
GECCO
2005
ACM
1-59593-010-8
db/conf/gecco/gecco2005.html
Kumara Sastry
Una-May O'Reilly
David E. Goldberg
Population Sizing for Genetic Programming Based Upon Decision Making
http://arxiv.org/abs/cs/0502020
2005
CoRR
abs/cs/0502020
db/journals/corr/corr0502.html#abs-cs-0502020
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.
1-28
2004
1
Int. J. Humanoid Robotics
1
https://doi.org/10.1142/S0219843604000022
db/journals/ijhr/ijhr1.html#BrooksAEFKOTVW04
Una-May O'Reilly
Emergent design: opportunities for agent-based and evolutionary computation.
2004
conf/cec/2004
IEEE Congress on Evolutionary Computation
https://doi.org/10.1109/CEC.2004.1330825
db/conf/cec/cec2004.html#OReilly04
Martin Hemberg
Una-May O'Reilly
Extending Grammatical Evolution to Evolve Digital Surfaces with Genr8.
299-308
https://doi.org/10.1007/978-3-540-24650-3_28
2004
conf/eurogp/2004
EuroGP
db/conf/eurogp/eurogp2004.html#HembergO04
Yann Semet
Una-May O'Reilly
Frédo Durand
An Interactive Artificial Ant Approach to Non-photorealistic Rendering.
188-200
https://doi.org/10.1007/978-3-540-24854-5_17
2004
conf/gecco/2004-1
GECCO (1)
db/conf/gecco/gecco2004-1.html#SemetOD04
Una-May O'Reilly
Emergent Design: Opportunities for Hybridizing Agent-Based and Evolutionary Computation.
2
2004
conf/his/2004
HIS
https://doi.org/10.1109/ICHIS.2004.40
https://doi.ieeecomputersociety.org/10.1109/ICHIS.2004.40
db/conf/his/his2004.html#OReilly04
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
EuroGP
Lecture Notes in Computer Science
3003
Springer
2004
3-540-21346-5
https://doi.org/10.1007/b96274
db/conf/eurogp/eurogp2004.html
Una-May O'Reilly
Nicola Santoro
Tight Bounds for Synchronous Communication of Information Using Bits, Silence.
195-209
2003
129
Discret. Appl. Math.
1
https://doi.org/10.1016/S0166-218X(02)00240-8
db/journals/dam/dam129.html#OReillyS03
Mark Stephenson
Una-May O'Reilly
Martin C. Martin
Saman P. Amarasinghe
Genetic Programming Applied to Compiler Heuristic Optimization.
238-253
2003
conf/eurogp/2003
EuroGP
https://doi.org/10.1007/3-540-36599-0_22
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Martin C. Martin
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Erick Cantú-Paz
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Kalyanmoy Deb
Lawrence Davis
Rajkumar Roy
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Hans-Georg Beyer
Russell K. Standish
Graham Kendall
Stewart W. Wilson
Mark Harman
Joachim Wegener
Dipankar Dasgupta
Mitchell A. Potter
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Genetic and Evolutionary Computation - GECCO 2003, Genetic and Evolutionary Computation Conference, Chicago, IL, USA, July 12-16, 2003. Proceedings, Part I
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James A. Foster
Kalyanmoy Deb
Lawrence Davis
Rajkumar Roy
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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
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Julian F. Miller
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Franz Oppacher
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Franz Oppacher
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Lijin Aryananda
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Karl Berggren
Marina Umaschi BersMarina U. Bers
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Laurens Bliek
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Jeffrey Bosboom
Henrique Branquinho
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Erick Cantú-Paz
Mauro Castelli
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Shiyu Chang
Xiangyi Chen
Ernesto Costa
Alfredo Cuesta-Infante
Sylvain Cussat-Blanc
Ruggiero Dargenio
Dipankar Dasgupta
Lawrence Davis
Kalyanmoy Deb
Michael DeLaus
Nate Derbinsky
Owen Derby
Franck Dernoncourt
Xavier Devroey
Jwala Dhamala
Riva Dhamala
Mucong Ding
Yufei Ding
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Frédo Durand
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Aaron Edsinger
Michelle Effros
Anikó Ekárt
John Emanuello
Anna Esparcia-Alcázar
Mario Alejandro Hevia Fajardo
Quanfu Fan
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Pedro Fazenda
Evelina Fedorenko
Yao Feng
Kimberly Ferguson-Walter
Filomena Ferrucci
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Jeannie Fitzgerald
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Chuang Gan
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David E. Goldberg
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Mark Harman
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Erik Hemberg
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Babak Hodjat
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Anna A. Ivanova
Domagoj Jakobovic
Wojciech Jaskowski
Chathura Jayalath
Jinghan Jia
Wesley O. Jin
Katrin Jonas
Kenneth A. De Jong
Natasa Jonoska
Shoaib Kamil 0001
Prakruthi Karuna
Hope H. Kean
Maarten Keijzer
Jonathan Kelly
Charles C. Kemp
Graham Kendall
Jaeyoon Kim
Minkyu Kim 0002
Wonsik Kim
Yongwook Bryce Kim
ByeongJo Kong
Timo Kötzing
Krzysztof Krawiec
Gabriel Kronberger
Sam Laney
Nancy Law
Sarah Lawsky
Per Kristian Lehre
Nicolas Lesimple
Leming Liang
Pedro U. Lima
Ben Lipkin
Sijia Liu 0001
Songtao Lu
Simon M. Lucas
Hervé Luga
Anthony Erb Lugo
Sean Luke
Kurosh Madani
Jitesh Maiyuran
Alexander V. Mantzaris
Luca Manzoni
Meng Mao
Jonathan Marcus
Martin C. Martin
Gabino Mata
James McDermott
Muriel Médard
David Medernach
Achim Menges
Bruce Miller
Julian Francis MillerJulian F. Miller
Tamara Mitrovska
Sanjeev Mohindra
Stephen Moskal
Julie Mullen
Azqa Nadeem
Subhash Nalluru
Sergio Nesmachnow
Frank Neumann 0001
Gabriela Ochoa
Marek Olszewski
Franz Oppacher
Maciej Pacula
Alessandro De Palma
Jason Parcon
Zachary A. Pardos
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Emiliano Pérez
Barbara Pernici
Marcos A. Pertierra
Stjepan Picek
Jordan B. Pollack
Mitchell A. Potter
Diego Puppin
Jonathan Ragan-Kelley
William Rand
Bryn Marie Reinstadler
Rene Reyes
Ahmad Ridley
Eric Robinson
Jacob B. Rosen
Dennis Ross
Franz Rothlauf
Rajkumar Roy
Jonathan Rubin
Gili Rusak
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Conor Ryan
Christophe Sabourin
Pasquale Salza
Malavika Samak
Daniel Prado Sanchez
Aruna Sankaranarayanan
Nicola Santoro
Kumara Sastry
Tom Schmiedlechner
Alan C. Schultz
Dirk Schweim
Yann Semet
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Junhee Seok
Hormoz Shahrzad
Alexander Shashkov
Hao Shen
Xipeng Shen
Dylan Sherry
Michal Shlapentokh-Rothman
Richard SkowyraRichard William Skowyra
Dominik Sobania
Andrew Song
Terence Soule
Lee Spector
Jacob M. Springer
Shashank Srikant
Diane Staheli
Russell K. Standish
Mark Stephenson
William W. Streilein
Yotaro Sueoka
Andrew M. Sutton
Colin Taylor
Michael A. Terry
Eduardo Torres-Jara
Jamal Toutouh
Danail Traskov
Sabrina Tseng
Miguel Tulla
Matthew J. Turner
Leonardo Vanneschi
Paulina Varshavskaya
Kalyan Veeramachaneni
Sicco Verwer
Monica Vitali
Ekaterina VladislavlevaKatya Vladislavleva
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Neal Wagner
Mark Wagy
Li Wang
Michael Wang
Yanbang Wang
Geoff Warner
Kevin Warwick
Jeff Weber
Joachim Wegener
David Robert White
Jordan Wick
Sanith Wijesinghe
Dennis Wilson
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Yee Lok Wong
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Linda Zhang 0003
Ying Zhao 0006
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