Michael Georgiopoulos
Orcid: 0009-0002-8840-0123
According to our database1,
Michael Georgiopoulos
authored at least 129 papers
between 1985 and 2024.
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Bibliography
2024
The Impact of a Community of Practice Scholarship Program on Students' Computing Identity.
ACM Trans. Comput. Educ., March, 2024
2022
A Multi-Criteria Approach for Fast and Robust Representative Selection from Manifolds.
IEEE Trans. Knowl. Data Eng., 2022
Sketches by MoSSaRT: Representative selection from manifolds with gross sparse corruptions.
Pattern Recognit., 2022
ACM Trans. Comput. Educ., 2022
2021
The Impact of Technical Interviews, and other Professional and Cultural Experiences on Students' Computing Identity.
Proceedings of the ITiCSE '21: Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V.1, Virtual Event, Germany, June 26, 2021
2020
A Multi-criteria Approach for Fast and Outlier-aware Representative Selection from Manifolds.
CoRR, 2020
Understanding the Experiences that Contribute to the Inclusion of Underrepresented Groups in Computing.
Proceedings of the IEEE Frontiers in Education Conference, 2020
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020
2019
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019
2018
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018
A Structural Equation Model Analysis of Computing Identity Sub-Constructs and Student Academic Persistence.
Proceedings of the IEEE Frontiers in Education Conference, 2018
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018
2017
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017
2016
IEEE Trans. Neural Networks Learn. Syst., 2016
2015
IEEE Trans. Neural Networks Learn. Syst., 2015
IEEE Trans. Neural Networks Learn. Syst., 2015
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
2014
IEEE Trans. Neural Networks Learn. Syst., 2014
CoRR, 2014
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
2013
CoRR, 2013
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
2012
A year of neural network research: Special Issue on the 2011 International Joint Conference on Neural Networks.
Neural Networks, 2012
A winner-take-all methodology: finding the best evolutionary algorithm for the global optimization of functions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
Engineering and computer science community college transfers and native freshmen students: Relationships among participation in extra-curricular and co-curricular activities, connecting to the university campus, and academic success.
Proceedings of the IEEE Frontiers in Education Conference, 2012
2011
Perform. Evaluation, 2011
Non-derivable itemsets for fast outlier detection in large high-dimensional categorical data.
Knowl. Inf. Syst., 2011
Multi-objective evolutionary optimization of exemplar-based classifiers: A PNN test case.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
2010
IEEE Trans. Neural Networks, 2010
Future Gener. Comput. Syst., 2010
A fast outlier detection strategy for distributed high-dimensional data sets with mixed attributes.
Data Min. Knowl. Discov., 2010
Proceedings of the Advances in Intelligent Data Analysis IX, 9th International Symposium, 2010
Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 2010
2009
A Sustainable Model for Integrating Current Topics in Machine Learning Research Into the Undergraduate Curriculum.
IEEE Trans. Educ., 2009
Proceedings of the International Joint Conference on Neural Networks, 2009
APHID: A Practical Architecture for High-Performance, Privacy-Preserving Data Mining.
Proceedings of The 2009 International Conference on Data Mining, 2009
Outlier Detection for Large High-Dimensional Categorical Data using Non-Derivable and Non-Almost-Derivable Sets.
Proceedings of The 2009 International Conference on Data Mining, 2009
2008
Proceedings of the Intelligence and Security Informatics, Techniques and Applications, 2008
A <i>k</i> -norm pruning algorithm for decision tree classifiers based on error rate estimation.
Mach. Learn., 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008
A Backward Adjusting Strategy and Optimization of the C4.5 Parameters to Improve C4.5's Performance.
Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008
Detecting Outliers in High-Dimensional Datasets with Mixed Attributes.
Proceedings of The 2008 International Conference on Data Mining, 2008
Proceedings of the 2008 IEEE Symposium on Computational Intelligence and Games, 2008
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
Proceedings of the Fourth Artificial Intelligence and Interactive Digital Entertainment Conference, 2008
2007
Proceedings of the Computational Intelligence Based on Lattice Theory, 2007
Experiments with Safe muARTMAP : Effect of the network parameters on the network performance.
Neural Networks, 2007
Pipelining of Fuzzy ARTMAP without matchtracking: Correctness, performance bound, and Beowulf evaluation.
Neural Networks, 2007
Gap-Based Estimation: Choosing the Smoothing Parameters for Probabilistic and General Regression Neural Networks.
Neural Comput., 2007
Proceedings of the International Joint Conference on Neural Networks, 2007
A Privacy Preserving Probabilistic Neural Network for Horizontally Partitioned Databases.
Proceedings of the International Joint Conference on Neural Networks, 2007
Proceedings of the International Joint Conference on Neural Networks, 2007
Analyzing the Fuzzy ARTMAP Matchtracking mechanism with Co-Objective Optimization Theory.
Proceedings of the International Joint Conference on Neural Networks, 2007
Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007
Experiments with an innovative tree pruning algorithm.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2007
2006
IEEE Trans. Syst. Man Cybern. Part B, 2006
Neural Networks, 2006
Answer: <i>approximate Name Search with Errors</i> in Large Databases by a Novel Approach Based on Prefix-dictionary.
Int. J. Artif. Intell. Tools, 2006
A Dictionary-Based Approach to Fast and Accurate Name Matching in Large Law Enforcement Databases.
Proceedings of the Intelligence and Security Informatics, 2006
Proceedings of the International Joint Conference on Neural Networks, 2006
Methods for Parallelizing the Probabilistic Neural Network on a Beowulf Cluster Computer.
Proceedings of the International Joint Conference on Neural Networks, 2006
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006
Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference, 2006
Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference, 2006
2005
Data-partitioning using the Hilbert space filling curves: Effect on the speed of convergence of Fuzzy ARTMAP for large database problems.
Neural Networks, 2005
2004
Educating Middle and High School Students in Space Operations: The Simulation Approach.
Proceedings of the 36th conference on Winter simulation, 2004
A Partitioned Fuzzy ARTMAP Implementation for Fast Processing of Large Databases on Sequential Machines.
Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference, 2004
2003
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003
CRCD in machine learning at the University of Central Florida preliminary experiences.
Proceedings of the 8th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education, 2003
Experimental Comparisons of Semi-Supervised and Supervised ART Classifiers (Invited Talk).
Proceedings of the Sixteenth International Florida Artificial Intelligence Research Society Conference, 2003
2002
Neural Networks, 2002
2001
IEEE Trans. Neural Networks, 2001
Pattern Recognit., 2001
A Connectionist-Symbolic Approach to Modeling Agent Behavior: Neural Networks Grouped by Contexts.
Proceedings of the Modeling and Using Context, 2001
2000
Int. J. Artif. Intell. Tools, 2000
Proceedings of the Visual Information Processing IX, Orlando, FL, USA, April 24, 2000, 2000
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
1999
An ordering algorithm for pattern presentation in fuzzy ARTMAP that tends to improve generalization performance.
IEEE Trans. Neural Networks, 1999
1998
Using self-organizing maps to learn geometric hash functions for model-based object recognition.
IEEE Trans. Neural Networks, 1998
Application of Neural Networks and Simulation Modeling in Manufacturing System Design.
Interfaces, 1998
Proceedings of the Sixth International Conference on Computer Vision (ICCV-98), 1998
1997
Coupling weight elimination with genetic algorithms to reduce network size and preserve generalization.
Neurocomputing, 1997
Proceedings of International Conference on Neural Networks (ICNN'97), 1997
1996
A Mixed Analog/Digital VLSI Design and Simulation of An Adaptive Resonance Theory (ART) Neural Network Architecture.
Simul., 1996
Neural Networks, 1996
Proceedings of the 13th International Conference on Pattern Recognition, 1996
Proceedings of International Conference on Neural Networks (ICNN'96), 1996
1995
J. Circuits Syst. Comput., 1995
Proceedings of the Procedings of the Fifth International Conference on Computer Vision (ICCV 95), 1995
1994
1992
IEEE Trans. Software Eng., 1992
1991
Correction to 'Packet error probabilities in frequency hopped spread-spectrum packet radio networks-memoryless frequency hopping patterns considered'.
IEEE Trans. Commun., 1991
1990
IEEE Trans. Commun., 1990
On the error probability of coded frequency-hopped spread-spectrum multiple-access systems with more than one code symbol per dwell interval.
IEEE Trans. Commun., 1990
1988
Packet error probabilities in frequency-hopped spread-spectrum packet radio networks-memoryless frequency-hopping patterns considered.
IEEE Trans. Commun., 1988
1985
IEEE Trans. Commun., 1985