Dean F. Hougen

According to our database1, Dean F. Hougen authored at least 68 papers between 1996 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
Corrections to "Visual Analytics for Decision-Making During Pandemics".
Comput. Sci. Eng., 2021

Developing Interpretable Machine Learning for Forward Kinematics of Robotic Arms.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

2020
Visual Analytics for Decision-Making During Pandemics.
Comput. Sci. Eng., 2020

Evolution, Sympatric Speciation, and Risk Aversion.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Improved Stochastic Synapse Reinforcement Learning for Continuous Actions in Sharply Changing Environments.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Districts by Demographics: Predicting U.S. House of Representative Elections using Machine Learning and Demographic Data.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Stochastic Reinforcement Learning for Continuous Actions in Dynamic Environments.
Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020

Toward Interpretable Machine Learning for Understanding Epidemic Data.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Rethinking Stochasticity in Neural Networks for Reinforcement Learning with Continuous Actions<sup>*</sup>.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Information and Resource Sharing in Reinforcement Learning Agents Subject to Risk.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

The Evolution of Reinforcement Learning <sup>*</sup>.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

2018
The Context-Aware Learning Model: neuro-experience-powered Logistic Regression Backpropagation (CALM-nepLRB).
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

The Context-Aware Learning Model: experience-powered Logistic Regression Backpropagation (CALM-epLRB).
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Nurturing Promotes the Evolution of Generalized Supervised Learning.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Meiotic Inheritance and Gene Dominance in Synthetic Sympatric Speciation.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
The context-aware learning model: Reward-based and experience-based logistic regression backpropagation.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Stochastic synapse reinforcement learning (SSRL).
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Nurturing promotes the evolution of reinforcement learning in changing environments.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2014
Context-based adaptive robot behavior learning model (CARB-LM).
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Control and Automation, 2014

2012
Robot-to-robot nurturing: A call to the research community.
Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

Evolution of robot-to-robot nurturing and nurturability.
Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

Nurturing promotes the evolution of learning in uncertain environments.
Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

Sexual Selection, Resource Distribution, and Population Size in Synthetic Sympatric Speciation.
Proceedings of the Thirteenth International Conference on the Simulation and Synthesis of Living Systems, 2012

2011
Approaches for Compression of Super-Resolution WSR-88D Data.
IEEE Geosci. Remote. Sens. Lett., 2011

2010
Extending adaptive fuzzy behavior hierarchies to multiple levels of composite behaviors.
Robotics Auton. Syst., 2010

Applying the triple parameter hypothesis to maintenance scheduling.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Phenotype feedback genetic algorithm operators for heuristic encoding of snakes within hypercubes.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

2009
Elitism, fitness, and growth.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Using action abstraction to evolve effective controllers.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Three interconnected parameters for genetic algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

2008
Application of a Sensemaking Approach to Ethics Training in the Physical Sciences and Engineering.
Sci. Eng. Ethics, 2008

Initial Population Diversity Does Not Influence Performance.
Proceedings of the 2008 International Conference on Genetic and Evolutionary Methods, 2008

Is "best-so-far" a good algorithmic performance metric?
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Internal vs. External Parameters in Fitness Functions.
Proceedings of the International Conference on Artificial Intelligence and Pattern Recognition, 2008

2007
Misuse Detection - A Neural Network vs. A Genetic Algorithm Approach.
Proceedings of the ICEIS 2007, 2007

Misuse Detection - An Iterative Process vs. A Genetic Algorithm Approach.
Proceedings of the ICEIS 2007, 2007

Initial Population for Genetic Algorithms: A Metric Approach.
Proceedings of the 2007 International Conference on Genetic and Evolutionary Methods, 2007

Using priorities to simplify behavior coordination.
Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2007), 2007

Empirical Study: Initial Population Diversity and Genetic Algorithm Performance.
Proceedings of the International Conference on Artificial Intelligence and Pattern Recognition, 2007

A Trade-Off of the Schema Theorem.
Proceedings of the International Conference on Artificial Intelligence and Pattern Recognition, 2007

2006
Genetic Algorithms for Hunting Snakes in Hypercubes: Fitness Function Analysis and Open Questions.
Proceedings of the Seventh International Conference on Software Engineering, 2006

The snake in the box problem: mathematical conjecture and a genetic algorithm approach.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Prioritizing Fuzzy Behaviors in Multi-robot Pursuit Teams.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

An Analysis of Memetic Crossover's Impact on a Population.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

A Benchmark for Cooperative Learning Agents.
Proceedings of the Proceedings, 2006

2005
Improved Off-Line Intrusion Detection Using a Genetic Algorithm.
Proceedings of the ICEIS 2005, 2005

Analysis and mathematical justification of a fitness function used in an intrusion detection system.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Analysis of an Off-Line Intrusion Detection System: A Case Study in Multi-Objective Genetic Algorithms.
Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, 2005

2004
Memetic Crossover for Genetic Programming: Evolution Through Imitation.
Proceedings of the Genetic and Evolutionary Computation, 2004

Imitating success: a memetic crossover operator for genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2002
Performance of a distributed robotic system using shared communications channels.
IEEE Trans. Robotics Autom., 2002

A robot team for surveillance tasks: Design and architecture.
Robotics Auton. Syst., 2002

Sharing control [multiple miniature robots].
IEEE Robotics Autom. Mag., 2002

A distributed surveillance task using miniature robots.
Proceedings of the First International Joint Conference on Autonomous Agents & Multiagent Systems, 2002

2001
Effects of limited bandwidth communications channels on the control of multiple robots.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2001

Performance of a Distributed Robotic System Using Shared Communication Channels.
Proceedings of the Advances in Plan-Based Control of Robotic Agents, 2001

Dynamic scheduling of a fixed bandwidth communications channel for controlling multiple robots.
Proceedings of the Fifth International Conference on Autonomous Agents, 2001

2000
Enlisting rangers and scouts for reconnaissance and surveillance.
IEEE Robotics Autom. Mag., 2000

Nomadic routing applications for wireless networking in a team of miniature robots.
Proceedings of the IEEE International Conference on Systems, 2000

A Miniature Robotic System for Reconnaissance and Surveillance.
Proceedings of the 2000 IEEE International Conference on Robotics and Automation, 2000

An Integrated Connectionist Approach to Reinforcement Learning for Robotic Control.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

Autonomous Mobile Robots and Distributed Exploratory Missions.
Proceedings of the Distributed Autonomous Robotic Systems 4, 2000

Verteilte Steuerung heterogener Mobiler Roboter.
Proceedings of the Autonome Mobile Systeme 2000, 2000

A team of robotic agents for surveillance.
Proceedings of the Fourth International Conference on Autonomous Agents, 2000

1999
Repeatability of Real World Training Experiments: A Case Study.
Auton. Robots, 1999

1997
Rapid unsupervised connectionist learning for backing a robot with two trailers.
Proceedings of the 1997 IEEE International Conference on Robotics and Automation, 1997

Partitioning input space for reinforcement learning for control.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1996
Fast connectionist learning for trailer backing using a real robot.
Proceedings of the 1996 IEEE International Conference on Robotics and Automation, 1996


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