Una-May O'Reilly

Affiliations:
  • MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, USA


According to our database1, Una-May O'Reilly authored at least 174 papers between 1992 and 2022.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
Computer Code Representation through Natural Language Processing for fMRI Data Analysis.
Proceedings of the 2022 International Conference on Artificial Intelligence in Information and Communication, 2022

Synthesizing Programs from Program Pieces Using Genetic Programming and Refinement Type Checking.
Proceedings of the Genetic Programming - 25th European Conference, 2022

Exploiting Knowledge from Code to Guide Program Search.
Proceedings of the Genetic Programming - 25th European Conference, 2022

2021
Spatial Coevolution for Generative Adversarial Network Training.
ACM Trans. Evol. Learn. Optim., 2021

Evaluating Efficacy of Indoor Non-Pharmaceutical Interventions against COVID-19 Outbreaks with a Coupled Spatial-SIR Agent-Based Simulation Framework.
CoRR, 2021

Using a Collated Cybersecurity Dataset for Machine Learning and Artificial Intelligence.
CoRR, 2021

Fostering Diversity in Spatial Evolutionary Generative Adversarial Networks.
CoRR, 2021

Proceedings - AI/ML for Cybersecurity: Challenges, Solutions, and Novel Ideas at SIAM Data Mining 2021.
CoRR, 2021

Automating Cyber Threat Hunting Using NLP, Automated Query Generation, and Genetic Perturbation.
CoRR, 2021

Analyzing Student Reflection Sentiments and Problem-Solving Procedures in MOOCs.
Proceedings of the L@S'21: Eighth ACM Conference on Learning @ Scale, 2021

Generating Adversarial Computer Programs using Optimized Obfuscations.
Proceedings of the 9th International Conference on Learning Representations, 2021

Coevolutionary computation for adversarial deep learning.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Signal propagation in a gradient-based and evolutionary learning system.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Coevolutionary modeling of cyber attack patterns and mitigations using public datasets.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Using knowledge of human-generated code to bias the search in program synthesis with grammatical evolution.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Genetic programming: a tutorial introduction.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Simulating a logistics enterprise using an asymmetrical wargame simulation with soar reinforcement learning and coevolutionary algorithms.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Getting a Head Start on Program Synthesis with Genetic Programming.
Proceedings of the Genetic Programming - 24th European Conference, 2021

2020
Adversarial genetic programming for cyber security: a rising application domain where GP matters.
Genet. Program. Evolvable Mach., 2020

BRON - Linking Attack Tactics, Techniques, and Patterns with Defensive Weaknesses, Vulnerabilities and Affected Platform Configurations.
CoRR, 2020

STRATA: Building Robustness with a Simple Method for Generating Black-box Adversarial Attacks for Models of Code.
CoRR, 2020

Dependency-Based Neural Representations for Classifying Lines of Programs.
CoRR, 2020

Data Dieting in GAN Training.
CoRR, 2020

Analyzing the Components of Distributed Coevolutionary GAN Training.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Understanding Learner Behavior Through Learning Design Informed Learning Analytics.
Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 2020

Analyzing K-12 Blended MOOC Learning Behaviors.
Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 2020

Analyzing Pre-Existing Knowledge and Performance in a Programming MOOC.
Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 2020

Parallel/distributed implementation of cellular training for generative adversarial neural networks.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks.
Proceedings of the 37th International Conference on Machine Learning, 2020

Sign Bits Are All You Need for Black-Box Attacks.
Proceedings of the 8th International Conference on Learning Representations, 2020

Re-purposing heterogeneous generative ensembles with evolutionary computation.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Securing the software defined perimeter with evolutionary co-optimization.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

The Robust Malware Detection Challenge and Greedy Random Accelerated Multi-Bit Search.
Proceedings of the AISec@CCS 2020: Proceedings of the 13th ACM Workshop on Artificial Intelligence and Security, 2020

Exploring Adversarial Artificial Intelligence for Autonomous Adaptive Cyber Defense.
Proceedings of the Adaptive Autonomous Secure Cyber Systems., 2020

2019
Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML.
CoRR, 2019

There are No Bit Parts for Sign Bits in Black-Box Attacks.
CoRR, 2019

The Influence of Grades on Learning Behavior in MOOCs: Certification vs, Continued Participation.
Proceedings of the 2019 IEEE Learning With MOOCS, 2019

How Student Background and Topic Impact the Doer Effect in Computational Thinking MOOCs.
Proceedings of the 2019 IEEE Learning With MOOCS, 2019

Categorizing Resources and Learners for a Finer-Grained Analysis of MOOC Viewing & Doing.
Proceedings of the 2019 IEEE Learning With MOOCS, 2019

Analyzing Student Code Trajectories in an Introductory Programming MOOC.
Proceedings of the 2019 IEEE Learning With MOOCS, 2019

On the Influence of Grades on Learning Behavior of Students in MOOCs.
Proceedings of the Sixth ACM Conference on Learning @ Scale, 2019

Investigating Learning Design Categorization and Learning Behaviour in Computational MOOCS.
Proceedings of the Sixth ACM Conference on Learning @ Scale, 2019

Student Code Trajectories in an Introductory Programming MOOC.
Proceedings of the Sixth ACM Conference on Learning @ Scale, 2019

Using Detailed Access Trajectories for Learning Behavior Analysis.
Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 2019

Transfer Learning using Representation Learning in Massive Open Online Courses.
Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 2019

Adversarially Adapting Deceptive Views and Reconnaissance Scans on a Software Defined Network.
Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, 2019

Spatial evolutionary generative adversarial networks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Introduction to genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

On domain knowledge and novelty to improve program synthesis performance with grammatical evolution.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Improving Genetic Programming with Novel Exploration - Exploitation Control.
Proceedings of the Genetic Programming - 22nd European Conference, 2019

2018
Lipizzaner: A System That Scales Robust Generative Adversarial Network Training.
CoRR, 2018

Multivariate Time-series Similarity Assessment via Unsupervised Representation Learning and Stratified Locality Sensitive Hashing: Application to Early Acute Hypotensive Episode Detection.
CoRR, 2018

Towards Distributed Coevolutionary GANs.
CoRR, 2018

On the Application of Danskin's Theorem to Derivative-Free Minimax Optimization.
CoRR, 2018

On Visual Hallmarks of Robustness to Adversarial Malware.
CoRR, 2018

Approximating Nash Equilibria for Black-Box Games: A Bayesian Optimization Approach.
CoRR, 2018

Exploring the Use of Autoencoders for Botnets Traffic Representation.
Proceedings of the 2018 IEEE Security and Privacy Workshops, 2018

Adversarial Deep Learning for Robust Detection of Binary Encoded Malware.
Proceedings of the 2018 IEEE Security and Privacy Workshops, 2018

Competitive coevolutionary algorithm decision support.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Adversarial co-evolution of attack and defense in a segmented computer network environment.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

AST-Based Deep Learning for Detecting Malicious PowerShell.
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018

An Artificial Coevolutionary Framework for Adversarial AI.
Proceedings of the AAAI Symposium on Adversary-Aware Learning Techniques and Trends in Cybersecurity (ALEC 2018) co-located with the Association for the Advancement of Artificial Intelligence 2018 Fall Symposium Series (AAAI-FSS 2018), 2018

Grammatical Evolution with Coevolutionary Algorithms in Cyber Security.
Proceedings of the Handbook of Grammatical Evolution, 2018

2017
Distributed Stratified Locality Sensitive Hashing for Critical Event Prediction in the Cloud.
CoRR, 2017

Machine learning or discrete choice models for car ownership demand estimation and prediction?
Proceedings of the 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, 2017

Towards Formalizing Statute Law as Default Logic through Automatic Semantic Parsing.
Proceedings of the Second Workshop on Automated Semantic Analysis of Information in Legal Texts co-located with the 16th International Conference on Artificial Intelligence and Law (ICAIL 2017), 2017

One-Class Classification of Low Volume DoS Attacks with Genetic Programming.
Proceedings of the Genetic Programming Theory and Practice XV, 2017

Exploiting Subprograms in Genetic Programming.
Proceedings of the Genetic Programming Theory and Practice XV, 2017

Towards evolutionary machine learning comparison, competition, and collaboration with a multi-cloud platform.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

cCube: a cloud microservices architecture for evolutionary machine learning classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

CryptoBench: benchmarking evolutionary algorithms with cryptographic problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Developing proactive defenses for computer networks with coevolutionary genetic algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Investigating coevolutionary archive based genetic algorithms on cyber defense networks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Collision frequency locality-sensitive hashing for prediction of critical events.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

If You Can't Measure It, You Can't Improve It: Moving Target Defense Metrics.
Proceedings of the 2017 Workshop on Moving Target Defense, 2017

2016
Detecting tax evasion: a co-evolutionary approach.
Artif. Intell. Law, 2016

STEALTH: Modeling Coevolutionary Dynamics of Tax Evasion and Auditing.
Proceedings of the 8th International Joint Conference on Computational Intelligence, 2016

Investigating Multi-Population Competitive Coevolution for Anticipation of Tax Evasion.
Proceedings of the Genetic Programming Theory and Practice XIV, 2016

Dynamics of Adversarial Co-evolution in Tax Non-Compliance Detection.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Multi-Line Batch Scheduling by Similarity.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Analysis of locality-sensitive hashing for fast critical event prediction on physiological time series.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Stratified locality-sensitive hashing for accelerated physiological time series retrieval.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Genetic Programming.
Proceedings of the Springer Handbook of Computational Intelligence, 2015

Learning a goal-oriented model for energy efficient adaptive applications in data centers.
Inf. Sci., 2015

FlexGP - Cloud-Based Ensemble Learning with Genetic Programming for Large Regression Problems.
J. Grid Comput., 2015

Bring Your Own Learner: A Cloud-Based, Data-Parallel Commons for Machine Learning.
IEEE Comput. Intell. Mag., 2015

Autotuning algorithmic choice for input sensitivity.
Proceedings of the 36th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2015

Feature Factory: Crowd Sourced Feature Discovery.
Proceedings of the Second ACM Conference on Learning @ Scale, 2015

Copula Graphical Models for Wind Resource Estimation.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Tax non-compliance detection using co-evolution of tax evasion risk and audit likelihood.
Proceedings of the 15th International Conference on Artificial Intelligence and Law, 2015

Building Predictive Models via Feature Synthesis.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Large-scale physiological waveform retrieval via locality-sensitive hashing.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Gaussian Process-Based Feature Selection for Wavelet Parameters: Predicting Acute Hypotensive Episodes from Physiological Signals.
Proceedings of the 28th IEEE International Symposium on Computer-Based Medical Systems, 2015

Computer Aided Tax Evasion Policy Analysis: Directed Search using Autonomous Agents.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

2014
The Max problem revisited: The importance of mutation in genetic programming.
Theor. Comput. Sci., 2014

Using reinforcement learning to optimize occupant comfort and energy usage in HVAC systems.
J. Ambient Intell. Smart Environ., 2014

Towards Feature Engineering at Scale for Data from Massive Open Online Courses.
CoRR, 2014

MOOCdb: Developing Standards and Systems to Support MOOC Data Science.
CoRR, 2014

Likely to stop? Predicting Stopout in Massive Open Online Courses.
CoRR, 2014

A continuous developmental model for wind farm layout optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Women@GECCO 2014.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Behavioral programming: a broader and more detailed take on semantic GP.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Multiple regression genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Building a Stage 1 Computer Aided Detector for Breast Cancer Using Genetic Programming.
Proceedings of the Genetic Programming - 17th European Conference, 2014

Behavioral Search Drivers for Genetic Programing.
Proceedings of the Genetic Programming - 17th European Conference, 2014

Flash: A GP-GPU Ensemble Learning System for Handling Large Datasets.
Proceedings of the Genetic Programming - 17th European Conference, 2014

Large-Scale Methodological Comparison of Acute Hypotensive Episode Forecasting Using MIMIC2 Physiological Waveforms.
Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014

OpenTuner: an extensible framework for program autotuning.
Proceedings of the International Conference on Parallel Architectures and Compilation, 2014

2013
Better GP benchmarks: community survey results and proposals.
Genet. Program. Evolvable Mach., 2013

Modeling Service Execution on Data Centers for Energy Efficiency and Quality of Service Monitoring.
Proceedings of the IEEE International Conference on Systems, 2013

Maintenance of a Long Running Distributed Genetic Programming System for Solving Problems Requiring Big Data.
Proceedings of the Genetic Programming Theory and Practice XI [GPTP 2013, 2013

On learning to generate wind farm layouts.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Learning regression ensembles with genetic programming at scale.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Genetic programming: a tutorial introduction.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Efficient training set use for blood pressure prediction in a large scale learning classifier system.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Imprecise selection and fitness approximation in a large-scale evolutionary rule based system for blood pressure prediction.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Introducing graphical models to analyze genetic programming dynamics.
Proceedings of the Foundations of Genetic Algorithms XII, 2013

Cloud Scale Distributed Evolutionary Strategies for High Dimensional Problems.
Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013

Cloud Driven Design of a Distributed Genetic Programming Platform.
Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013

Developing Data Standards and Systems for MOOC Data Science.
Proceedings of the Workshops at the 16th International Conference on Artificial Intelligence in Education AIED 2013, 2013

Evolutionary and Generative Music Informs Music HCI - And <i>Vice Versa</i>.
Proceedings of the Music and Human-Computer Interaction., 2013

2012
A Knowledge-Based Operator for a Genetic Algorithm which Optimizes the Distribution of Sparse Matrix Data.
Proceedings of the Parallel Architectures and Bioinspired Algorithms, 2012

Knowledge mining sensory evaluation data: genetic programming, statistical techniques, and swarm optimization.
Genet. Program. Evolvable Mach., 2012

Genetic programming needs better benchmarks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Graphical models and what they reveal about GP when it solves a symbolic regression problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

An investigation of local patterns for estimation of distribution genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Autoconstructive evolution for structural problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Flex-GP: Genetic Programming on the Cloud.
Proceedings of the Applications of Evolutionary Computation, 2012

Hyperparameter Tuning in Bandit-Based Adaptive Operator Selection.
Proceedings of the Applications of Evolutionary Computation, 2012

A Library to Run Evolutionary Algorithms in the Cloud Using MapReduce.
Proceedings of the Applications of Evolutionary Computation, 2012

Optimizing energy output and layout costs for large wind farms using particle swarm optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Siblingrivalry: online autotuning through local competitions.
Proceedings of the 15th International Conference on Compilers, 2012

2011
Feature extraction from optimization samples via ensemble based symbolic regression.
Ann. Math. Artif. Intell., 2011

An executable graph representation for evolutionary generative music.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

An efficient evolutionary algorithm for solving incrementally structured problems.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Computational complexity analysis of simple genetic programming on two problems modeling isolated program semantics.
Proceedings of the Foundations of Genetic Algorithms, 11th International Workshop, 2011

How Far Is It from Here to There? A Distance That Is Coherent with GP Operators.
Proceedings of the Genetic Programming - 14th European Conference, 2011

2010
Hogs and slackers: Using operations balance in a genetic algorithm to optimize sparse algebra computation on distributed architectures.
Parallel Comput., 2010

Feature Extraction from Optimization Data via DataModeler's Ensemble Symbolic Regression.
Proceedings of the Learning and Intelligent Optimization, 4th International Conference, 2010

Knowledge mining with genetic programming methods for variable selection in flavor design.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Evolutionary optimization of flavors.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

A Genetic Algorithm to Minimize Chromatic Entropy.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2010

Learning a Lot from Only a Little: Genetic Programming for Panel Segmentation on Sparse Sensory Evaluation Data.
Proceedings of the Genetic Programming, 13th European Conference, 2010

2009
An Evolutionary Approach To Inter-Session Network Coding.
Proceedings of the INFOCOM 2009. 28th IEEE International Conference on Computer Communications, 2009

Genetic programming for quantitative stock selection.
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009

2008
Genr8: Architects' Experience with an Emergent Design Tool.
Proceedings of the Art of Artificial Evolution: A Handbook on Evolutionary Art and Music, 2008

2007
Integrating generative growth and evolutionary computation for form exploration.
Genet. Program. Evolvable Mach., 2007

On the "Evolvable Hardware" Approach to Electronic Design Invention.
Proceedings of the 2007 IEEE Workshop on Evolvable and Adaptive Hardware, 2007

Evolutionary Approaches To Minimizing Network Coding Resources.
Proceedings of the INFOCOM 2007. 26th IEEE International Conference on Computer Communications, 2007

A doubly distributed genetic algorithm for network coding.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

COSMO: a correlation sensitive mutation operator for multi-objective optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Genetic Representations for Evolutionary Minimization of Network Coding Resources.
Proceedings of the Applications of Evolutinary Computing, 2007

Simulation-based reusable posynomial models for MOS transistor parameters.
Proceedings of the 2007 Design, Automation and Test in Europe Conference and Exposition, 2007

2006
Filter approximation using explicit time and frequency domain specifications.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

GRACE: Generative Robust Analog Circuit Exploration.
Proceedings of the Applications of Evolutionary Computing, 2006

A Self-Tuning Analog Proportional-Integral-Derivative (PID) Controller.
Proceedings of the First NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2006), 2006

2005
Population Sizing for Genetic Programming Based Upon Decision Making
CoRR, 2005

2004
Sensing and Manipulating Built-for-Human Environments.
Int. J. Humanoid Robotics, 2004

Emergent Design: Opportunities for Hybridizing Agent-Based and Evolutionary Computation.
Proceedings of the 4th International Conference on Hybrid Intelligent Systems (HIS 2004), 2004

An Interactive Artificial Ant Approach to Non-photorealistic Rendering.
Proceedings of the Genetic and Evolutionary Computation, 2004

Extending Grammatical Evolution to Evolve Digital Surfaces with Genr8.
Proceedings of the Genetic Programming, 7th European Conference, 2004

Emergent design: opportunities for agent-based and evolutionary computation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2003
Tight Bounds for Synchronous Communication of Information Using Bits, Silence.
Discret. Appl. Math., 2003

Meta optimization: improving compiler heuristics with machine learning.
Proceedings of the ACM SIGPLAN 2003 Conference on Programming Language Design and Implementation 2003, 2003

Adapting Convergent Scheduling Using Machine-Learning.
Proceedings of the Languages and Compilers for Parallel Computing, 2003

Genetic Programming Applied to Compiler Heuristic Optimization.
Proceedings of the Genetic Programming, 6th European Conference, EuroGP 2003, 2003

2000
Asynchronous to Synchronous transformations.
Proceedings of the Procedings of the 4th International Conference on Principles of Distributed Systems, 2000

1998
Where Does the Good Stuff Go, and Why? How Contextual Semantics Influences Program Structure in Simple Genetic Programming.
Proceedings of the Genetic Programming, First European Workshop, 1998

The Impact of External Dependency in Genetic Programming Primitives.
Proceedings of the Advances in Artificial Intelligence, 1998

1994
Book Review: Genetic Programming II - Automatic Discovery of Reusable Programs by John R Koza.
Artif. Life, 1994

Program Search with a Hierarchical Variable Lenght Representation: Genetic Programming, Simulated Annealing and Hill Climbing.
Proceedings of the Parallel Problem Solving from Nature, 1994

The Troubling Aspects of a Building Block Hypothesis for Genetic Programming.
Proceedings of the Third Workshop on Foundations of Genetic Algorithms. Estes Park, Colorado, USA, July 31, 1994

1992
The Expressiveness of Silence: Tight Bounds for Synchronous Communication of Information Using Bits and Silence.
Proceedings of the Graph-Theoretic Concepts in Computer Science, 1992

An Experimental Perspective on Genetic Programming.
Proceedings of the Parallel Problem Solving from Nature 2, 1992


  Loading...