Dean F. Hougen

63 papers A* 5A 11B 4C 3Misc 1Journal 14Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Evolving Multi-Channel Confidence-Aware Activation Functions for Missing Data with Channel Propagation. CoRR Naeem Shahabi Sani, Ferial Najiantabriz, Shayan Shafaei, Dean F. Hougen
2025	J	`jnl`	6G Twin: Hybrid Gaussian Radio Fields for Channel Estimation and Non-Linear Precoder Design for Radio Access Networks. CoRR Muhammad Ahmed Mohsin, Muhammad Umer, Ahsan Bilal, Muhammad Ali Jamshed, Dean F. Hougen, John M. Cioffi
2025	J	`jnl`	Channel Prediction under Network Distribution Shift Using Continual Learning-based Loss Regularization. CoRR Muhammad Ahmed Mohsin, Muhammad Umer, Ahsan Bilal, Muhammad Ibtsaam Qadir, Muhammad Ali Jamshed, Dean F. Hougen, John M. Cioffi
2025	J	`jnl`	Conditional Prior-based Non-stationary Channel Estimation Using Accelerated Diffusion Models. CoRR Muhammad Ahmed Mohsin, Ahsan Bilal, Muhammad Umer, Asad Aali, Muhammad Ali Jamshed, Dean F. Hougen, John M. Cioffi
2025	—	`conf`	Logical Table-to-Text Generation: Challenges, Methods, and Reasoning. IJCNLP-AACL (Findings) Lena Trigg, Dean F. Hougen
2023	—	`conf`	Improving medical image segmentation and classification using a novel joint deep learning model. Computer-Aided Diagnosis Sanjana Mudduluru, Sai Kiran Reddy Maryada, William Booker, Dean F. Hougen, Bin Zheng
2022	—	`conf`	Applying a novel two-stage deep-learning model to improve accuracy in detecting retinal fundus images. Computer-Aided Diagnosis Sai Kiran Reddy Maryada, William Booker, Gopichandh Danala, Catherine An Ha, Sanjana Mudduluru, Dean F. Hougen, Bin Zheng
2021	J	`jnl`	Corrections to "Visual Analytics for Decision-Making During Pandemics". Comput. Sci. Eng. Audrey Reinert, Luke S. Snyder, Jieqiong Zhao, Andrew S. Fox, Dean F. Hougen, Charles D. Nicholson, David S. Ebert
2020	C	`conf`	Districts by Demographics: Predicting U.S. House of Representative Elections using Machine Learning and Demographic Data. ICMLA Britt Richardson, Dean F. Hougen
2020	J	`jnl`	Visual Analytics for Decision-Making During Pandemics. Comput. Sci. Eng. Audrey Reinert, Luke S. Snyder, Jieqiong Zhao, Andrew S. Fox, Dean F. Hougen, Charles D. Nicholson, David S. Ebert
2017	—	`conf`	Nurturing promotes the evolution of reinforcement learning in changing environments. SSCI Syed Naveed Hussain Shah, Dean F. Hougen
2017	—	`conf`	Stochastic synapse reinforcement learning (SSRL). SSCI Syed Naveed Hussain Shah, Dean F. Hougen
2017	—	`conf`	The context-aware learning model: Reward-based and experience-based logistic regression backpropagation. SSCI Joohee Suh, Dean F. Hougen
2014	—	`conf`	Context-based adaptive robot behavior learning model (CARB-LM). CICA Joohee Suh, Dean F. Hougen
2012	—	`conf`	Evolution of robot-to-robot nurturing and nurturability. ICDL-EPIROB Armand Leonce, Bryan Hoke, Dean F. Hougen
2012	—	`conf`	Nurturing promotes the evolution of learning in uncertain environments. ICDL-EPIROB Brent E. Eskridge, Dean F. Hougen
2012	—	`conf`	Robot-to-robot nurturing: A call to the research community. ICDL-EPIROB Mark Woehrer, Dean F. Hougen, Ingo Schlupp, Brent E. Eskridge
2012	C	`conf`	Sexual Selection, Resource Distribution, and Population Size in Synthetic Sympatric Speciation. ALIFE Mark Woehrer, Dean F. Hougen, Ingo Schlupp
2011	J	`jnl`	Approaches for Compression of Super-Resolution WSR-88D Data. IEEE Geosci. Remote. Sens. Lett. Shawn McCarroll, Mark Yeary, Dean F. Hougen, Valliappa Lakshmanan, Steven Smith
2010	A	`conf`	Applying the triple parameter hypothesis to maintenance scheduling. GECCO John Crofford, Brent E. Eskridge, Dean F. Hougen
2010	J	`jnl`	Extending adaptive fuzzy behavior hierarchies to multiple levels of composite behaviors. Robotics Auton. Syst. Brent E. Eskridge, Dean F. Hougen
2010	A	`conf`	Phenotype feedback genetic algorithm operators for heuristic encoding of snakes within hypercubes. GECCO Benjamin P. Carlson, Dean F. Hougen
2009	A	`conf`	Elitism, fitness, and growth. GECCO Gerardo Gonzalez, Dean F. Hougen
2009	A	`conf`	Three interconnected parameters for genetic algorithms. GECCO Pedro A. Diaz-Gomez, Dean F. Hougen
2009	A	`conf`	Using action abstraction to evolve effective controllers. GECCO Brent E. Eskridge, Dean F. Hougen
2008	J	`jnl`	Application of a Sensemaking Approach to Ethics Training in the Physical Sciences and Engineering. Sci. Eng. Ethics Vykinta Kligyte, Richard T. Marcy, Ethan P. Waples, Sydney T. Sevier, Elaine S. Godfrey, Michael D. Mumford, Dean F. Hougen
2008	—	`conf`	Initial Population Diversity Does Not Influence Performance. GEM Pedro A. Diaz-Gomez, Dean F. Hougen
2008	—	`conf`	Internal vs. External Parameters in Fitness Functions. Artificial Intelligence and Pattern Recognition Pedro A. Diaz-Gomez, Dean F. Hougen
2008	A	`conf`	Is "best-so-far" a good algorithmic performance metric? GECCO Nathaniel P. Troutman, Brent E. Eskridge, Dean F. Hougen
2007	—	`conf`	A Trade-Off of the Schema Theorem. Artificial Intelligence and Pattern Recognition Pedro A. Diaz-Gomez, Dean F. Hougen
2007	—	`conf`	Empirical Study: Initial Population Diversity and Genetic Algorithm Performance. Artificial Intelligence and Pattern Recognition Pedro A. Diaz-Gomez, Dean F. Hougen
2007	—	`conf`	Initial Population for Genetic Algorithms: A Metric Approach. GEM Pedro A. Diaz-Gomez, Dean F. Hougen
2007	—	`conf`	Misuse Detection - A Neural Network vs. A Genetic Algorithm Approach. ICEIS (2) Pedro A. Diaz-Gomez, Dean F. Hougen
2007	—	`conf`	Misuse Detection - An Iterative Process vs. A Genetic Algorithm Approach. ICEIS (2) Pedro A. Diaz-Gomez, Dean F. Hougen
2007	A	`conf`	Using priorities to simplify behavior coordination. AAMAS Brent E. Eskridge, Dean F. Hougen
2006	A*	`conf`	A Benchmark for Cooperative Learning Agents. AAAI Jason M. Black, Dean F. Hougen
2006	B	`conf`	An Analysis of Memetic Crossover's Impact on a Population. IEEE Congress on Evolutionary Computation Brent E. Eskridge, Dean F. Hougen
2006	C	`conf`	Genetic Algorithms for Hunting Snakes in Hypercubes: Fitness Function Analysis and Open Questions. SNPD Pedro A. Diaz-Gomez, Dean F. Hougen
2006	B	`conf`	Prioritizing Fuzzy Behaviors in Multi-robot Pursuit Teams. FUZZ-IEEE Brent E. Eskridge, Dean F. Hougen
2006	A	`conf`	The snake in the box problem: mathematical conjecture and a genetic algorithm approach. GECCO Pedro A. Diaz-Gomez, Dean F. Hougen
2005	A	`conf`	Analysis and mathematical justification of a fitness function used in an intrusion detection system. GECCO Pedro A. Diaz-Gomez, Dean F. Hougen
2005	Misc	`conf`	Analysis of an Off-Line Intrusion Detection System: A Case Study in Multi-Objective Genetic Algorithms. FLAIRS Pedro A. Diaz-Gomez, Dean F. Hougen
2005	—	`conf`	Improved Off-Line Intrusion Detection Using a Genetic Algorithm. ICEIS (2) Pedro A. Diaz-Gomez, Dean F. Hougen
2004	B	`conf`	Imitating success: a memetic crossover operator for genetic programming. IEEE Congress on Evolutionary Computation Brent E. Eskridge, Dean F. Hougen
2004	—	`conf`	Memetic Crossover for Genetic Programming: Evolution Through Imitation. GECCO (2) Brent E. Eskridge, Dean F. Hougen
2002	A	`conf`	A distributed surveillance task using miniature robots. AAMAS Paul E. Rybski, Maria L. Gini, Dean F. Hougen, Sascha Stoeter, Nikolaos Papanikolopoulos
2002	J	`jnl`	A robot team for surveillance tasks: Design and architecture. Robotics Auton. Syst. Sascha Stoeter, Paul E. Rybski, Kristen Stubbs, Colin McMillen, Maria L. Gini, Dean F. Hougen, Nikolaos Papanikolopoulos
2002	J	`jnl`	Performance of a distributed robotic system using shared communications channels. IEEE Trans. Robotics Autom. Paul E. Rybski, Sascha Stoeter, Maria L. Gini, Dean F. Hougen, Nikolaos Papanikolopoulos
2002	J	`jnl`	Sharing control [multiple miniature robots]. IEEE Robotics Autom. Mag. Paul E. Rybski, Sascha Stoeter, Nikolaos P. Papanikolopoulos, Ian T. Burt, Tom Dahlin, Maria L. Gini, Dean F. Hougen, Donald G. Krantz, Florent Nageotte
2001	—	`conf`	Dynamic scheduling of a fixed bandwidth communications channel for controlling multiple robots. Agents Paul E. Rybski, Sascha Stoeter, Maria L. Gini, Dean F. Hougen, Nikolaos Papanikolopoulos
2001	A	`conf`	Effects of limited bandwidth communications channels on the control of multiple robots. IROS Paul E. Rybski, Sascha Stoeter, Maria L. Gini, Dean F. Hougen, Nikolaos Papanikolopoulos
2001	—	`conf`	Performance of a Distributed Robotic System Using Shared Communication Channels. Advances in Plan-Based Control of Robotic Agents Paul E. Rybski, Sascha Stoeter, Maria L. Gini, Dean F. Hougen, Nikolaos Papanikolopoulos
2000	A*	`conf`	A Miniature Robotic System for Reconnaissance and Surveillance. ICRA Dean F. Hougen, Saifallah Benjaafar, Jordan Bonney, John Budenske, Mark Dvorak, Maria L. Gini, Howard French, Donald G. Krantz, Perry Y. Li, Fred Malver, Bradley J. Nelson, Nikolaos Papanikolopoulos, Paul E. Rybski, Sascha Stoeter, Richard M. Voyles, Kemal Berk Yesin
2000	—	`conf`	A team of robotic agents for surveillance. Agents Paul E. Rybski, Sascha Stoeter, Michael D. Erickson, Maria L. Gini, Dean F. Hougen, Nikolaos Papanikolopoulos
2000	A*	`conf`	An Integrated Connectionist Approach to Reinforcement Learning for Robotic Control. ICML Dean F. Hougen, Maria L. Gini, James R. Slagle
2000	—	`conf`	Autonomous Mobile Robots and Distributed Exploratory Missions. DARS Dean F. Hougen, Michael D. Erickson, Paul E. Rybski, Sascha Stoeter, Maria L. Gini, Nikolaos Papanikolopoulos
2000	J	`jnl`	Enlisting rangers and scouts for reconnaissance and surveillance. IEEE Robotics Autom. Mag. Paul E. Rybski, Nikolaos P. Papanikolopoulos, Sascha Stoeter, Donald G. Krantz, Kemal Berk Yesin, Maria L. Gini, Richard M. Voyles, Dean F. Hougen, Bradley J. Nelson, Michael D. Erickson
2000	B	`conf`	Nomadic routing applications for wireless networking in a team of miniature robots. SMC John R. Budenske, Jordan Bonney, Atiq Ahamad, Ranga S. Ramanujan, Dean F. Hougen, Nikos Papanikolopoulos
2000	—	`conf`	Verteilte Steuerung heterogener Mobiler Roboter. AMS Sascha Stoeter, Paul E. Rybski, Maria L. Gini, Dean F. Hougen, Nikolaos Papanikolopoulos
1999	J	`jnl`	Repeatability of Real World Training Experiments: A Case Study. Auton. Robots Dean F. Hougen, Paul E. Rybski, Maria L. Gini
1997	—	`conf`	Partitioning input space for reinforcement learning for control. ICNN Dean F. Hougen, Maria L. Gini, James R. Slagle
1997	A*	`conf`	Rapid unsupervised connectionist learning for backing a robot with two trailers. ICRA Dean F. Hougen, Maria L. Gini, James R. Slagle
1996	A*	`conf`	Fast connectionist learning for trailer backing using a real robot. ICRA Dean F. Hougen, John Fischer, Maria L. Gini, James R. Slagle