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Annie S. Wu
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2020 – today
- 2024
- [j19]Avelino J. Gonzalez, Thomas Anchor, Anthony Hevia, Andres Posadas, Josh Wade, Rebeca Amaya Ansag, Kyle A. Benko, Brooke Bottoni, Vera A. Kazakova, Matthew Alvarez, Josiah Wong, Jordan T. Martin, Rainer Knauf, Klaus P. Jantke
, Annie S. Wu:
The evolution of the fAIble system to automatically compose and narrate stories for children. J. Exp. Theor. Artif. Intell. 36(4): 611-656 (2024) - [c76]Maryam Kebari, Annie S. Wu:
Genetic algorithm feature selection resilient to increasing amounts of data imputation. FLAIRS 2024 - [c75]Andre Rossi Kuroswiski
Attention-Driven Multi-Agent Reinforcement Learning: Enhancing Decisions with Expertise-Informed Tasks. FLAIRS 2024 - [c74]Noah Ari, Richard C. Yarnell, Paul Amoruso, Johnathan Mell, Ronald F. DeMara, Annie S. Wu:
FOCAL: Feature-Oriented Cellular Automata Learning for Convolution-Free Image Classification. IS 2024: 1-6 - [i4]Andre Rossi Kuroswiski
Attention-Driven Multi-Agent Reinforcement Learning: Enhancing Decisions with Expertise-Informed Tasks. CoRR abs/2404.05840 (2024) - 2023
- [j18]Reamonn Norat
Genetic algorithms with self-adaptation for predictive classification of Medicare standardized payments for physical therapists. Expert Syst. Appl. 218: 119529 (2023) - [j17]Thomas Schiller, Bruce Caulkins, Annie S. Wu, Sean C. Mondesire:
Security Awareness in Smart Homes and Internet of Things Networks through Swarm-Based Cybersecurity Penetration Testing. Inf. 14(10): 536 (2023) - [c73]Maryam Kebari
Pid-Inspired Modifications in Response Threshold Models In Swarm Intelligent Systems. GECCO 2023: 39-46 - [c72]Richard C. Yarnell, Pierce Powell, Ronald F. DeMara, Annie S. Wu:
A Genetic Algorithm for Combinational Logic Circuit Synthesis Using Directed Graph Primitives. ICMLA 2023: 1859-1866 - [i3]Maryam Kebari, Annie S. Wu, H. David Mathias:
PID-inspired modifications in response threshold models in swarm intelligent systems. CoRR abs/2304.12385 (2023) - 2022
- [j16]Avelino J. Gonzalez, Josiah Wong, Emily M. Thomas, Alec Kerrigan, Lauren Hastings, Andres Posadas, Kevin Negy, Annie S. Wu, Santiago Ontañón, Yi-Ching Lee, Flaura K. Winston:
Detection of driver health condition by monitoring driving behavior through machine learning from observation. Expert Syst. Appl. 199: 117167 (2022) - [j15]H. David Mathias
Analysis of Evolved Response Thresholds for Decentralized Dynamic Task Allocation. ACM Trans. Evol. Learn. Optim. 2(2): 5:1-5:30 (2022) - [c71]Esteban Segarra Martinez, Stephen V. Maldonado, Annie S. Wu, Ryan P. McMahan, Xinliang Liu, Blake Oakley:
Effects of imputation strategy on genetic algorithms and neural networks on a binary classification problem. GECCO 2022: 1272-1280 - [c70]Esteban Segarra Martinez, Annie S. Wu, Ryan P. McMahan:
Research Trends in Virtual Reality Locomotion Techniques. VR 2022: 270-280 - 2021
- [c69]Joseph P. Giordano, Annie S. Wu, Arjun Pherwani, H. David Mathias:
Comparison of Desynchronization Methods for a Decentralized Swarm on a Logistical Resupply Problem. AAMAS 2021: 1510-1511 - [c68]Annie S. Wu, Joseph P. Giordano, H. David Mathias, Arjun Pherwani:
Decentralized Swarm Desynchronization via Inter-agent Variation for Logistical Resupply. FLAIRS 2021 - [c67]H. David Mathias
Evolved response thresholds generalize across problem instances for a deterministic-response multiagent system. GECCO Companion 2021: 73-74 - [i2]H. David Mathias, Annie S. Wu, Daniel Dang:
Analysis of Evolved Response Thresholds for Decentralized Dynamic Task Allocation. CoRR abs/2106.06019 (2021) - 2020
- [j14]Vera A. Kazakova
Respecializing swarms by forgetting reinforced thresholds. Swarm Intell. 14(3): 171-204 (2020) - [j13]Annie S. Wu, R. Paul Wiegand, Ramya Pradhan:
Response probability enhances robustness in decentralized threshold-based robotic swarms. Swarm Intell. 14(3): 233-258 (2020) - [c66]Annie S. Wu, H. David Mathias
Dynamic Response Thresholds: Heterogeneous Ranges Allow Specialization While Mitigating Convergence to Sink States. ANTS Conference 2020: 107-120 - [c65]H. David Mathias
Heterogeneous Response Intensity Ranges and Response Probability Improve Goal Achievement in Multi-agent Systems. ANTS Conference 2020: 148-160 - [c64]Kaelan Engholdt, H. David Mathias
Variable Response Duration Promotes Self-organization in Decentralized Swarms. BIOMA 2020: 17-28 - [c63]Brooke Bottoni, Yasmine Moolenaar, Anthony Hevia, Thomas Anchor, Kyle A. Benko, Rainer Knauf, Klaus P. Jantke, Avelino J. Gonzalez, Annie S. Wu:
Character Depth and Sentence Diversification in Automated Narrative Generation. FLAIRS 2020: 21-26 - [c62]H. David Mathias, Annie S. Wu, Laik Ruetten, Eric Coursin:
Improving Multi-Agent System Coordination Via Intensity Variation. FLAIRS 2020: 368-373 - [c61]Annie S. Wu, H. David Mathias, Joseph P. Giordano, Anthony Hevia:
Effects of Response Threshold Distribution on Dynamic Division of Labor in Decentralized Swarms. FLAIRS 2020: 386-391
2010 – 2019
- 2019
- [c60]John Albury, Richard Wales, Annie S. Wu:
Improving File Compression Using Elementary Cellular Automata. FLAIRS 2019: 104-107 - 2018
- [c59]Vera A. Kazakova, Annie S. Wu:
Specialization versus Re-Specialization: Effects of Hebbian Learning in a Dynamic Environment. FLAIRS 2018: 354-359 - [c58]Annie S. Wu, Cortney Riggs:
Inter-Agent Variation Improves Dynamic Decentralized Task Allocation. FLAIRS 2018: 366-369 - 2017
- [c57]Annie S. Wu, Vera A. Kazakova:
Effects of Task Consideration Order on Decentralized Task Allocation Using Time-Variant Response Thresholds. FLAIRS 2017: 466-471 - [c56]Vincent R. Ragusa, H. David Mathias
Enhanced genetic path planning for autonomous flight. GECCO 2017: 1208-1215 - [c55]Vera A. Kazakova, Annie S. Wu:
Iterative weighted 2D orientation averaging that minimizes arc-length between vectors. IROS 2017: 2499-2504 - 2016
- [c54]Vera A. Kazakova, Annie S. Wu:
Smarter Sharing Is Caring: Weighted Averaging in Decentralized Collective Transport with Obstacle Avoidance. FLAIRS 2016: 56-61 - [c53]Annie S. Wu, R. Paul Wiegand, Ramya Pradhan:
Building Redundancy in Multi-Agent Systems Using Probabilistic Selection. FLAIRS 2016: 404-409 - 2013
- [c52]Annie S. Wu, R. Paul Wiegand, Ramya Pradhan:
Using response probability to build system redundancy in multiagent systems. AAMAS 2013: 1343-1344 - [c51]Vera A. Kazakova, Annie S. Wu, Talat S. Rahman:
Cluster energy optimizing genetic algorithm. GECCO 2013: 1317-1324 - [i1]Christopher D. Hollander, Annie S. Wu:
Distributed Consensus Formation Through Unconstrained Gossiping. CoRR abs/1301.2722 (2013) - 2012
- [c50]Annie S. Wu, R. Paul Wiegand, Ramya Pradhan, Gautham Anil:
The Effects of Inter-Agent Variation on Developing Stable and Robust Teams. AAAI Spring Symposium: AI, The Fundamental Social Aggregation Challenge 2012 - [c49]Cortney Riggs, Annie S. Wu:
Variation as an element in multi-agent control for target tracking. IROS 2012: 834-841 - 2011
- [j12]Adam Campbell, Annie S. Wu:
Multi-agent role allocation: issues, approaches, and multiple perspectives. Auton. Agents Multi Agent Syst. 22(2): 317-355 (2011) - [j11]Christopher D. Hollander, Annie S. Wu:
The Current State of Normative Agent-Based Systems. J. Artif. Soc. Soc. Simul. 14(2) (2011) - [c48]Ramya Pradhan, Annie S. Wu:
On the relationship between response probability and redundancy in teams of collaborating agents. CollaborateCom 2011: 297-306 - [c47]Adam Campbell, Cortney Riggs, Annie S. Wu:
On the Impact of Variation on Self-Organizing Systems. SASO 2011: 119-128 - [c46]Christopher D. Hollander, Annie S. Wu:
Using the Process of Norm Emergence to Model Consensus Formation. SASO 2011: 148-157 - 2010
- [c45]Ruben Ramirez-Padron, Feras Batarseh
On the performance of fitness uniform selection for non-deceptive problems. ACM Southeast Regional Conference 2010: 32
2000 – 2009
- 2009
- [j10]Michael Georgiopoulos, Ronald F. DeMara
A Sustainable Model for Integrating Current Topics in Machine Learning Research Into the Undergraduate Curriculum. IEEE Trans. Educ. 52(4): 503-512 (2009) - [c44]Adam Campbell, Annie S. Wu:
On the significance of synchroneity in emergent systems. AAMAS (1) 2009: 449-456 - [c43]R. Paul Wiegand, Gautham Anil, Ivan I. Garibay
On the performance effects of unbiased module encapsulation. GECCO 2009: 1729-1736 - [e1]Ivan I. Garibay, Thomas Jansen, R. Paul Wiegand, Annie S. Wu:
Foundations of Genetic Algorithms, 10th ACM SIGEVO International Workshop, FOGA 2009, Orlando, Forida, USA, January 9-11, 2009, Proceedings. ACM 2009, ISBN 978-1-60558-414-0 [contents] - 2008
- [c42]Adam Campbell, Annie S. Wu, Randall Shumaker:
Multi-agent task allocation: learning when to say no. GECCO 2008: 201-208 - 2007
- [j9]Ahmad A. Al-Daraiseh
GFAM: Evolving Fuzzy ARTMAP neural networks. Neural Networks 20(8): 874-892 (2007) - [c41]Ozlem O. Garibay, Annie S. Wu:
Analyzing the effects of module encapsulation on search space bias. GECCO 2007: 1234-1241 - [c40]Adam Campbell, Annie S. Wu:
Learning and exploiting knowledge in multi-agent task allocation problems. GECCO (Companion) 2007: 2637-2642 - [c39]Assem Kaylani, Ahmad A. Al-Daraiseh
Genetic Optimization of ART Neural Network Architectures. IJCNN 2007: 379-384 - [p1]Ahmad A. Al-Daraiseh
Genetically Engineered ART Architectures. Computational Intelligence Based on Lattice Theory 2007: 233-262 - 2006
- [j8]Ivan I. Garibay
Emergence of genomic self-similarity in location independent representations. Genet. Program. Evolvable Mach. 7(1): 55-80 (2006) - [c38]Sean R. Szumlanski, Annie S. Wu, Charles E. Hughes:
Conflict Resolution and a Framework for Collaborative Interactive Evolution. AAAI 2006: 512-517 - [c37]Ahmad A. Al-Daraiseh, Michael Georgiopoulos, Annie S. Wu, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi:
GFAM: Evolving Fuzzy ARTMAP Neural Networks. FLAIRS 2006: 694-699 - [c36]Ahmad A. Al-Daraiseh
GFAM: A Genetic Algorithm Optimization of Fuzzy ARTMAP. FUZZ-IEEE 2006: 315-322 - [c35]M. Kivanc Oner, Ivan I. Garibay, Annie S. Wu:
Mating networks in steady state genetic algorithms are scale free. GECCO 2006: 1423-1424 - [c34]Han Yu, Dan C. Marinescu, Annie S. Wu, Howard Jay Siegel, Rose A. Daley, I-Jeng Wang:
Plan switching: an approach to plan execution in changing environments. IPDPS 2006 - [c33]Bing Chen, Joohan Lee, Annie S. Wu:
Active Event Correlation in Bro IDS to Detect Multi-stage Attacks. IWIA 2006: 32-50 - 2005
- [c32]Gary Stein, Bing Chen, Annie S. Wu, Kien A. Hua:
Decision tree classifier for network intrusion detection with GA-based feature selection. ACM Southeast Regional Conference (2) 2005: 136-141 - [c31]Silvia Figueira, Stephen P. Beeby
Topology-Based Meshes for Local Communication in Data-Parallel Applications. CLUSTER 2005: 1-9 - [c30]Ivan I. Garibay
On location independent representations and self-organization. GECCO Workshops 2005: 292 - [c29]Ivan I. Garibay
On favoring positive correlations between form and quality of candidate solutions via the emergence of genomic self-similarity. GECCO 2005: 1177-1184 - [c28]Hal Stringer, Annie S. Wu:
Behavior of finite population variable length genetic algorithms under random selection. GECCO 2005: 1249-1255 - [c27]Ayse S. Yilmaz, Annie S. Wu:
Preservation of genetic redundancy in the existence of developmental error and fitness assignment error. GECCO 2005: 1317-1324 - [c26]Sean R. Szumlanski, Annie S. Wu, Charles E. Hughes
Collaborative interactive evolution. GECCO 2005: 2199-2200 - [c25]David B. Bracewell, Scott Russell, Annie S. Wu:
Identification, Expansion, and Disambiguation of Acronyms in Biomedical Texts. ISPA Workshops 2005: 186-195 - 2004
- [j7]Zhiguang Xu
Adhoc-like routing in wired networks with genetic algorithms. Ad Hoc Networks 2(3): 255-263 (2004) - [j6]Annie S. Wu, Han Yu, Shiyuan Jin, Kuo-Chi Lin, Guy A. Schiavone:
An Incremental Genetic Algorithm Approach to Multiprocessor Scheduling. IEEE Trans. Parallel Distributed Syst. 15(9): 824-834 (2004) - [j5]Annie S. Wu, Ivan I. Garibay
Intelligent automated control of life support systems using proportional representations. IEEE Trans. Syst. Man Cybern. Part B 34(3): 1423-1434 (2004) - [c24]Hal Stringer, Annie S. Wu:
Winnowing Wheat from Chaff: The Chunking GA. GECCO (2) 2004: 198-209 - [c23]Han Yu, Ning Jiang, Annie S. Wu:
Populating Genomes in a Dynamic Grid. GECCO (2) 2004: 418-419 - [c22]Ivan I. Garibay, Ozlem O. Garibay, Annie S. Wu:
Effects of Module Encapsulation in Repetitively Modular Genotypes on the Search Space. GECCO (1) 2004: 1125-1137 - [c21]Han Yu, Dan C. Marinescu, Annie S. Wu, Howard Jay Siegel:
Planning with Recursive Subgoals. KES 2004: 17-27 - 2003
- [c20]Han Yu, Annie S. Wu, Kuo-Chi Lin, Guy A. Schiavone:
Adaptation of Length in a Nonstationary Environment. GECCO 2003: 1541-1553 - [c19]Gregory A. Holifield, Annie S. Wu:
A Genetic Algorithm as a Learning Method Based on Geometric Representations. GECCO 2003: 1588-1589 - [c18]Ayse S. Yilmaz, Brian N. McQuay, Han Yu, Annie S. Wu, John C. Sciortino Jr.:
Evolving Sensor Suites for Enemy Radar Detection. GECCO 2003: 2384-2395 - [c17]Han Yu, Dan C. Marinescu, Annie S. Wu, Howard Jay Siegel:
A Genetic Approach to Planning in Heterogeneous Computing Environments. IPDPS 2003: 97 - [c16]Ozlem O. Garibay, Ivan I. Garibay, Annie S. Wu:
The Modular Genetic Algorithm: Exploiting Regularities in the Problem Space. ISCIS 2003: 584-591 - [c15]Michael Georgiopoulos, José Castro, Annie S. Wu, Ronald F. DeMara
CRCD in machine learning at the University of Central Florida preliminary experiences. ITiCSE 2003: 249 - 2002
- [j4]Annie S. Wu, Ivan I. Garibay:
The Proportional Genetic Algorithm: Gene Expression in a Genetic Algorithm. Genet. Program. Evolvable Mach. 3(2): 157-192 (2002) - [c14]Gregory A. Holifield, Annie S. Wu:
Population Genetics of Regulatory Genes: A Genetic Algorithm Model. GECCO Late Breaking Papers 2002: 233-239 - [c13]Annie S. Wu, Han Yu, Kuo-Chi Lin, Guy A. Schiavone:
Length Variation in Response to a Changing Environment. GECCO Late Breaking Papers 2002: 482-489 - [c12]Ayse S. Yilmaz, Annie S. Wu:
The Effect of Diploidy on Integer Representations. GECCO Late Breaking Papers 2002: 496-503 - [c11]Hal Stringer, Annie S. Wu:
A Simple Method For Detecting Domino Convergence And Identifying Salient Genes Within A Genetic Algorithm. GECCO 2002: 594-601 - [c10]Annie S. Wu, Ivan I. Garibay:
The Proportional Genetic Algorithm Representation. GECCO 2002: 703 - 2000
- [c9]Daniel J. Collins, Arvin Agah, Annie S. Wu, Alan C. Schultz:
The Effects of Team Size on the Evolution of Distributed Micro air Vehicles. GECCO 2000: 949-956
1990 – 1999
- 1999
- [c8]Annie S. Wu, Kenneth A. De Jong:
An examination of building block dynamics in different representations. CEC 1999: 715-721 - [c7]Annie S. Wu, Kenneth A. De Jong, Donald S. Burke, John J. Grefenstette, Connie Loggia Ramsey:
Visual analysis of evolutionary algorithms. CEC 1999: 1419-1425 - [c6]Annie S. Wu, Alan C. Schultz, Arvin Agah:
Evolving control for distributed micro air vehicles. CIRA 1999: 174-179 - 1998
- [j3]Donald S. Burke, Kenneth A. De Jong, John J. Grefenstette, Connie Loggia Ramsey, Annie S. Wu:
Putting More Genetics into Genetic Algorithms. Evol. Comput. 6(4): 387-410 (1998) - [c5]Connie Loggia Ramsey, Kenneth A. De Jong, John J. Grefenstette, Annie S. Wu, Donald S. Burke:
Genome Length as an Evolutionary Self-adaptation. PPSN 1998: 345-356 - 1997
- [c4]Annie S. Wu, Robert K. Lindsay, Rick L. Riolo:
Empirical Observations on the Roles of Crossover and Mutation. ICGA 1997: 362-369 - 1996
- [j2]Annie S. Wu, Robert K. Lindsay:
A Comparison of the Fixed and Floating Building Block Representation in the Genetic Algorithm. Evol. Comput. 4(2): 169-193 (1996) - [c3]Robert K. Lindsay, Annie S. Wu:
Testing the Robustness of the Genetic Algorithm on the Floating Building Block Representation. AAAI/IAAI, Vol. 1 1996: 793-798 - [c2]Annie S. Wu, Robert K. Lindsay:
A Survey of Intron Research in Genetics. PPSN 1996: 101-110 - 1995
- [b1]Annie S. Wu:
Non-coding DNA and floating building blocks for the genetic algorithm. University of Michigan, USA, 1995 - [j1]Annie S. Wu, Robert K. Lindsay:
Empirical Studies of the Genetic Algorithm with Non-Coding Segments. Evol. Comput. 3(2): 121-147 (1995) - 1994
- [c1]Annie S. Wu, Robert K. Lindsay, Michael D. Smith:
Studies on the Effect of Non-coding Segments on the Genetic Algorithm. ICTAI 1994: 744-747
Coauthor Index
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last updated on 2024-10-23 20:36 CEST by the dblp team
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