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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]