Michael Georgiopoulos

143 papers A* 2A 3B 29C 4Misc 9Journal 70Unranked 23

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	The Impact of a Community of Practice Scholarship Program on Students' Computing Identity. ACM Trans. Comput. Educ. Maral Kargarmoakhar, Monique Ross, Zahra Hazari, Stephen Secules, Mark Allen Weiss, Michael Georgiopoulos, Kenneth J. Christensen, Tiana Solis
2022	J	`jnl`	A Multi-Criteria Approach for Fast and Robust Representative Selection from Manifolds. IEEE Trans. Knowl. Data Eng. Mahlagha Sedghi, Michael Georgiopoulos, George K. Atia
2022	J	`jnl`	How Do Educational Experiences Predict Computing Identity? ACM Trans. Comput. Educ. Stephanie Lunn, Monique Ross, Zahra Hazari, Mark Allen Weiss, Michael Georgiopoulos, Ken Christensen
2022	J	`jnl`	Sketches by MoSSaRT: Representative selection from manifolds with gross sparse corruptions. Pattern Recognit. Mahlagha Sedghi, Michael Georgiopoulos, George K. Atia
2021	—	`conf`	The Impact of Technical Interviews, and other Professional and Cultural Experiences on Students' Computing Identity. ITiCSE (1) Stephanie Lunn, Monique Ross, Zahra Hazari, Mark Allen Weiss, Michael Georgiopoulos, Kenneth J. Christensen
2020	J	`jnl`	A Multi-criteria Approach for Fast and Outlier-aware Representative Selection from Manifolds. CoRR Mahlagha Sedghi, George K. Atia, Michael Georgiopoulos
2020	Misc	`conf`	Non-linear Manifold Clustering based on Conformity Index. ACSSC Mahlagha Sedghi, George K. Atia, Michael Georgiopoulos
2020	C	`conf`	Understanding the Experiences that Contribute to the Inclusion of Underrepresented Groups in Computing. FIE Maral Kargarmoakhar, Stephanie Lunn, Leila Zahedi, Monique Ross, Zahra Hazari, Mark Allen Weiss, Michael Georgiopoulos, Kenneth J. Christensen, Tiana Solis
2019	J	`jnl`	Learning Hash Function through Codewords. CoRR Yinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2019	—	`conf`	Low-Dimensional Decomposition of Manifolds in Presence of Outliers. MLSP Mahlagha Sedghi, George K. Atia, Michael Georgiopoulos
2019	J	`jnl`	Reduced-Rank Local Distance Metric Learning for k-NN Classification. CoRR Yinjie Huang, Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2019	J	`jnl`	Robust Manifold Learning via Conformity Pursuit. IEEE Signal Process. Lett. Mahlagha Sedghi, George K. Atia, Michael Georgiopoulos
2018	C	`conf`	A Structural Equation Model Analysis of Computing Identity Sub-Constructs and Student Academic Persistence. FIE Mohsen Taheri, Monique Ross, Zahra Hazari, Mark Allen Weiss, Michael Georgiopoulos, Ken Christensen, Tiana Solis, Atalie Garcia, Deepa Chari
2018	Misc	`conf`	Kernel Coherence Pursuit: A Manifold Learning-based Outlier Detection Technique. ACSSC Mahlagha Sedghi, George K. Atia, Michael Georgiopoulos
2018	B	`conf`	Multi-Label Learning Via Codewords. ICTAI Mahlagha Sedghi, Yinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2018	J	`jnl`	Pareto-Optimal Model Selection via SPRINT-Race. IEEE Trans. Cybern. Tiantian Zhang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2017	J	`jnl`	Multi-Task Learning Using Neighborhood Kernels. CoRR Niloofar Yousefi, Cong Li, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Michael Georgiopoulos
2017	B	`conf`	Sparse Inductive Embedding: An Explorative Data Visualization Technique. ICTAI Mahlagha Sedghi, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2016	J	`jnl`	A Simple Method for Solving the SVM Regularization Path for Semidefinite Kernels. IEEE Trans. Neural Networks Learn. Syst. Christopher Sentelle, Georgios C. Anagnostopoulos, Michael Georgiopoulos
2016	J	`jnl`	Multi-Objective Model Selection via Racing. IEEE Trans. Cybern. Tiantian Zhang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2015	—	`conf`	Hash Function Learning via Codewords. ECML/PKDD (1) Yinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2015	J	`jnl`	Hash Function Learning via Codewords. CoRR Yinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2015	—	`conf`	Multi-Task Learning with Group-Specific Feature Space Sharing. ECML/PKDD (2) Niloofar Yousefi, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2015	J	`jnl`	Multi-Task Learning with Group-Specific Feature Space Sharing. CoRR Niloofar Yousefi, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2015	J	`jnl`	Multitask Classification Hypothesis Space With Improved Generalization Bounds. IEEE Trans. Neural Networks Learn. Syst. Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2015	J	`jnl`	Pareto-Path Multitask Multiple Kernel Learning. IEEE Trans. Neural Networks Learn. Syst. Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2015	A	`conf`	SPRINT Multi-Objective Model Racing. GECCO Tiantian Zhang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2014	J	`jnl`	A Unifying Framework for Typical Multi-Task Multiple Kernel Learning Problems. CoRR Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2014	J	`jnl`	A Unifying Framework for Typical Multitask Multiple Kernel Learning Problems. IEEE Trans. Neural Networks Learn. Syst. Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2014	J	`jnl`	Conic Multi-Task Classification. CoRR Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2014	—	`conf`	Conic Multi-task Classification. ECML/PKDD (2) Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2014	J	`jnl`	Generative Neural Networks for Multi-task Life-Long Learning. Comput. J. John Reeder, Michael Georgiopoulos
2014	A	`conf`	Online model racing based on extreme performance. GECCO Tiantian Zhang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2014	J	`jnl`	Pareto-Path Multi-Task Multiple Kernel Learning. CoRR Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2013	B	`conf`	Kernel-based distance metric learning in the output space. IJCNN Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2013	J	`jnl`	Multi-Task Classification Hypothesis Space with Improved Generalization Bounds. CoRR Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2013	J	`jnl`	Output-Space Distance Metric Learning for k-NN Classification. CoRR Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2013	—	`conf`	Reduced-Rank Local Distance Metric Learning. ECML/PKDD (3) Yinjie Huang, Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2013	A	`conf`	S-Race: a multi-objective racing algorithm. GECCO Tiantian Zhang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2012	—	`conf`	A winner-take-all methodology: finding the best evolutionary algorithm for the global optimization of functions. GECCO (Companion) Tiantian Zhang, Giselle Borrero, Michael Georgiopoulos
2012	J	`jnl`	A year of neural network research: Special Issue on the 2011 International Joint Conference on Neural Networks. Neural Networks Jean-Philippe Thivierge, Ali A. Minai, Hava T. Siegelmann, Cesare Alippi, Michael Georgiopoulos
2012	C	`conf`	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. FIE Lisa Massi, Patrice Lancey, Uday Nair, Rachel Straney, Michael Georgiopoulos, Cynthia Young
2011	B	`conf`	Accelerated learning of Generalized Sammon Mappings. IJCNN Yinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2011	J	`jnl`	Efficient Revised Simplex Method for SVM Training. IEEE Trans. Neural Networks Christopher Sentelle, Georgios C. Anagnostopoulos, Michael Georgiopoulos
2011	B	`conf`	Kernel principal subspace Mahalanobis distances for outlier detection. IJCNN Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2011	J	`jnl`	Learning in the feed-forward random neural network: A critical review. Perform. Evaluation Michael Georgiopoulos, Cong Li, Taskin Koçak
2011	B	`conf`	Multi-objective evolutionary optimization of exemplar-based classifiers: A PNN test case. IJCNN Talitha Rubio, Tiantian Zhang, Michael Georgiopoulos, Assem Kaylani
2011	J	`jnl`	Non-derivable itemsets for fast outlier detection in large high-dimensional categorical data. Knowl. Inf. Syst. Anna Koufakou, Jimmy Secretan, Michael Georgiopoulos
2010	J	`jnl`	A fast outlier detection strategy for distributed high-dimensional data sets with mixed attributes. Data Min. Knowl. Discov. Anna Koufakou, Michael Georgiopoulos
2010	J	`jnl`	APHID: An architecture for private, high-performance integrated data mining. Future Gener. Comput. Syst. Jimmy Secretan, Michael Georgiopoulos, Anna Koufakou, Kelvin Cardona
2010	J	`jnl`	An adaptive multiobjective approach to evolving ART architectures. IEEE Trans. Neural Networks Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Christopher Sentelle, Mingyu Zhong
2010	Misc	`conf`	Imitating Personalized Expressions in an Avatar through Machine Learning. FLAIRS Cassondra Puklavage, Alexander R. Pirela, Avelino J. Gonzalez, Michael Georgiopoulos
2010	—	`conf`	Learning in the feed-forward Random Neural Network: A Critical Review. ISCIS Michael Georgiopoulos, Cong Li, Taskin Koçak
2010	B	`conf`	Similarity Kernels for Nearest Neighbor-Based Outlier Detection. IDA Ruben Ramirez-Padron, David Foregger, Julie Manuel, Michael Georgiopoulos, Boris Mederos
2009	J	`jnl`	A Sustainable Model for Integrating Current Topics in Machine Learning Research Into the Undergraduate Curriculum. IEEE Trans. Educ. Michael Georgiopoulos, Ronald F. DeMara, Avelino J. Gonzalez, Annie S. Wu, Mansooreh Mollaghasemi, Erol Gelenbe, Marcella K. Kysilka, Jimmy Secretan, Carthik A. Sharma, Ayman Jameel Alnsour
2009	J	`jnl`	AG-ART: An adaptive approach to evolving ART architectures. Neurocomputing Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos
2009	—	`conf`	APHID: A Practical Architecture for High-Performance, Privacy-Preserving Data Mining. DMIN Jimmy Secretan, Anna Koufakou, Michael Georgiopoulos
2009	B	`conf`	An efficient active set method for SVM training without singular inner problems. IJCNN Christopher Sentelle, Georgios C. Anagnostopoulos, Michael Georgiopoulos
2009	—	`conf`	Outlier Detection for Large High-Dimensional Categorical Data using Non-Derivable and Non-Almost-Derivable Sets. DMIN Anna Koufakou, Jimmy Secretan, Michelle Fox, Gary Gramajo, Georgios C. Anagnostopoulos, Michael Georgiopoulos
2008	J	`jnl`	A Mach. Learn. Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2008	Misc	`conf`	A Backward Adjusting Strategy and Optimization of the C4.5 Parameters to Improve C4.5's Performance. FLAIRS Jason R. Beck, Maria Garcia, Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2008	B	`conf`	A fast revised simplex method for SVM training. ICPR Christopher Sentelle, Georgios C. Anagnostopoulos, Michael Georgiopoulos
2008	—	`conf`	Detecting Outliers in High-Dimensional Datasets with Mixed Attributes. DMIN Anna Koufakou, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2008	B	`conf`	Efficient evolution of ART neural networks. IEEE Congress on Evolutionary Computation Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos
2008	B	`conf`	Fast parallel outlier detection for categorical datasets using MapReduce. IJCNN Anna Koufakou, Jimmy Secretan, John Reeder, Kelvin Cardona, Michael Georgiopoulos
2008	—	`conf`	Intelligent Trading Agents for Massively Multi-player Game Economies. AIIDE John Reeder, Gita Sukthankar, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2008	—	`conf`	Interactively evolved modular neural networks for game agent control. CIG John Reeder, Roberto Miguez, Jessica Sparks, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2008	B	`conf`	MO-GART: Multiobjective genetic ART architectures. IEEE Congress on Evolutionary Computation Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos
2008	—	`ch.`	Name Matching in Law Enforcement Database. Intelligence and Security Informatics Olcay Kursun, Michael Georgiopoulos, Kenneth M. Reynolds
2008	B	`conf`	Properties of the k-norm pruning algorithm for decision tree classifiers. ICPR Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2008	—	`ed.`	Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshop, SSPR & SPR 2008, Orlando, USA, December 4-6, 2008. Proceedings SSPR/SPR Niels da Vitoria Lobo, Takis Kasparis, Fabio Roli, James Tin-Yau Kwok, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Marco Loog
2007	B	`conf`	A Privacy Preserving Probabilistic Neural Network for Horizontally Partitioned Databases. IJCNN Jimmy Secretan, Michael Georgiopoulos, José Castro
2007	—	`conf`	A Scalable and Efficient Outlier Detection Strategy for Categorical Data. ICTAI (2) Anna Koufakou, Enrique G. Ortiz, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Kenneth M. Reynolds
2007	B	`conf`	Analyzing the Fuzzy ARTMAP Matchtracking mechanism with Co-Objective Optimization Theory. IJCNN José Castro, Michael Georgiopoulos, Jimmy Secretan
2007	J	`jnl`	Experiments with Safe muARTMAP : Effect of the network parameters on the network performance. Neural Networks Mingyu Zhong, Bryan Rosander, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi, Samuel Richie
2007	—	`conf`	Experiments with an innovative tree pruning algorithm. Artificial Intelligence and Applications Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2007	J	`jnl`	GFAM: Evolving Fuzzy ARTMAP neural networks. Neural Networks Ahmad A. Al-Daraiseh, Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Annie S. Wu, Georgios C. Anagnostopoulos
2007	J	`jnl`	Gap-Based Estimation: Choosing the Smoothing Parameters for Probabilistic and General Regression Neural Networks. Neural Comput. Mingyu Zhong, Dave Coggeshall, Ehsan Ghaneie, Thomas Pope, Mark Rivera, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi, Samuel Richie
2007	B	`conf`	Genetic Optimization of ART Neural Network Architectures. IJCNN Assem Kaylani, Ahmad A. Al-Daraiseh, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Annie S. Wu
2007	—	`ch.`	Genetically Engineered ART Architectures. Computational Intelligence Based on Lattice Theory Ahmad A. Al-Daraiseh, Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Annie S. Wu, Georgios C. Anagnostopoulos
2007	B	`conf`	On Extending the SMO Algorithm Sub-Problem. IJCNN Christopher Sentelle, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Cynthia Young
2007	J	`jnl`	Pipelining of Fuzzy ARTMAP without matchtracking: Correctness, performance bound, and Beowulf evaluation. Neural Networks José Castro, Jimmy Secretan, Michael Georgiopoulos, Ronald F. DeMara, Georgios C. Anagnostopoulos, Avelino J. Gonzalez
2006	C	`conf`	A Dictionary-Based Approach to Fast and Accurate Name Matching in Large Law Enforcement Databases. ISI Olcay Kursun, Anna Koufakou, Bing Chen, Michael Georgiopoulos, Kenneth M. Reynolds, Ronald Eaglin
2006	J	`jnl`	Answer: Int. J. Artif. Intell. Tools Olcay Kursun, Anna Koufakou, Abhijit Wakchaure, Michael Georgiopoulos, Kenneth M. Reynolds, Ronald Eaglin
2006	J	`jnl`	Boosted ARTMAP: Modifications to fuzzy ARTMAP motivated by boosting theory. Neural Networks Stephen J. Verzi, Gregory L. Heileman, Michael Georgiopoulos
2006	B	`conf`	Experiments with Safe ARTMAP and Comparisons to Other ART Networks. IJCNN Mingyu Zhong, Bryan Rosander, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi, Samuel Richie
2006	B	`conf`	GFAM: A Genetic Algorithm Optimization of Fuzzy ARTMAP. FUZZ-IEEE Ahmad A. Al-Daraiseh, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Annie S. Wu, Mansooreh Mollaghasemi
2006	Misc	`conf`	GFAM: Evolving Fuzzy ARTMAP Neural Networks. FLAIRS Ahmad A. Al-Daraiseh, Michael Georgiopoulos, Annie S. Wu, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi
2006	B	`conf`	Gap-Based Estimation: Choosing the Smoothing Parameters for Probabilistic and General Regression Neural Networks. IJCNN Mingyu Zhong, Dave Coggeshall, Ehsan Ghaneie, Thomas Pope, Mark Rivera, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi, Samuel Richie
2006	Misc	`conf`	Generalized Entropy for Splitting on Numerical Attributes in Decision Trees. FLAIRS Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi
2006	J	`jnl`	Learning tactical human behavior through observation of human performance. IEEE Trans. Syst. Man Cybern. Part B H. K. G. Fernlund, Avelino J. Gonzalez, Michael Georgiopoulos, Ronald F. DeMara
2006	B	`conf`	Methods for Parallelizing the Probabilistic Neural Network on a Beowulf Cluster Computer. IJCNN Jimmy Secretan, Michael Georgiopoulos, Ian Maidhof, Philip Shibly, Joshua Hecker
2005	B	`conf`	An experimental comparison of semi-supervised ARTMAP architectures, GCS and GNG classifiers. IJCNN Quang Le, Georgios C. Anagnostopoulos, Michael Georgiopoulos, Ken Ports
2005	J	`jnl`	Data-partitioning using the Hilbert space filling curves: Effect on the speed of convergence of Fuzzy ARTMAP for large database problems. Neural Networks José Castro, Michael Georgiopoulos, Ronald F. DeMara, Avelino J. Gonzalez
2005	B	`conf`	Parallelizing the fuzzy ARTMAP algorithm on a Beowulf cluster. IJCNN Jimmy Secretan, José Castro, Michael Georgiopoulos, Joe Tapia, Amit Chadha, Brian Huber, Georgios C. Anagnostopoulos, Samuel Richie
2004	Misc	`conf`	A Partitioned Fuzzy ARTMAP Implementation for Fast Processing of Large Databases on Sequential Machines. FLAIRS José Castro, Michael Georgiopoulos, Ronald F. DeMara, Avelino J. Gonzalez
2004	B	`conf`	A data partitioning approach to speed up the fuzzy ARTMAP algorithm using the Hilbert space-filling curve. IJCNN José Castro, Michael Georgiopoulos, Ronald F. DeMara
2004	Misc	`conf`	Educating Middle and High School Students in Space Operations: The Simulation Approach. WSC Mansooreh Mollaghasemi, Michael Georgiopoulos, Anne Donnelly, Dayana Cope, Martin J. Steele
2003	B	`conf`	CRCD in machine learning at the University of Central Florida preliminary experiences. ITiCSE Michael Georgiopoulos, José Castro, Annie S. Wu, Ronald F. DeMara, Erol Gelenbe, Avelino J. Gonzalez, Marcella K. Kysilka, Mansooreh Mollaghasemi
2003	J	`jnl`	Condensing the CC-2001 core in an integrated curriculum. J. Comput. Sci. Coll. Ingrid Russell, Michael Georgiopoulos, José Castro, Todd W. Neller, Daniel D. McCracken, Laurie King, Dennis J. Bouvier
2003	B	`conf`	Exemplar-based pattern recognition via semi-supervised learning. IJCNN Gregorios C. Anagnostopoulos, Madan Bharadwaj, Michael Georgiopoulos, Stephen J. Verzi, Gregory L. Heileman
2003	Misc	`conf`	Experimental Comparisons of Semi-Supervised and Supervised ART Classifiers (Invited Talk). FLAIRS Michael Georgiopoulos, Georgios C. Anagnostopoulos, Madan Bharadwaj
2003	B	`conf`	Putting the Utility of Match Tracking in Fuzzy ARTMAP Training to the Test. KES Georgios C. Anagnostopoulos, Michael Georgiopoulos
2003	B	`conf`	Universal approximation with Fuzzy ART and Fuzzy ARTMAP. IJCNN Stephen J. Verzi, Gregory L. Heileman, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2002	J	`jnl`	Category regions as new geometrical concepts in Fuzzy-ART and Fuzzy-ARTMAP. Neural Networks Georgios C. Anagnostopoulos, Michael Georgiopoulos
2001	—	`conf`	A Connectionist-Symbolic Approach to Modeling Agent Behavior: Neural Networks Grouped by Contexts. CONTEXT Amy E. Henninger, Avelino J. Gonzalez, Michael Georgiopoulos, Ronald F. DeMara
2001	J	`jnl`	Classification of noisy signals using fuzzy ARTMAP neural networks. IEEE Trans. Neural Networks Dimitrios Charalampidis, Takis Kasparis, Michael Georgiopoulos
2001	J	`jnl`	Cross-validation in Fuzzy ARTMAP for large databases. Neural Networks Anna Koufakou, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Takis Kasparis
2001	J	`jnl`	Segmentation of textured images based on fractals and image filtering. Pattern Recognit. Takis Kasparis, Dimitrios Charalampidis, Michael Georgiopoulos, Jannick P. Rolland
2000	—	`conf`	Classification of Noisy Signals Using Fuzzy ARTMAP Neural Networks. IJCNN (6) Dimitrios Charalampidis, Michael Georgiopoulos, Takis Kasparis
2000	—	`conf`	Classification of noisy patterns using ARTMAP-based neural networks. Visual Information Processing Dimitrios Charalampidis, Georgios C. Anagnostopoulos, Takis Kasparis, Michael Georgiopoulos
2000	J	`jnl`	Face Detection and Verification Using Genetic Search. Int. J. Artif. Intell. Tools George Bebis, Satish Uthiram, Michael Georgiopoulos
2000	—	`conf`	Hierarchical ARTMAP. IJCNN (6) Stephen J. Verzi, Gregory L. Heileman, Michael Georgiopoulos, Michael J. Healy
2000	—	`conf`	Hypersphere ART and ARTMAP for Unsupervised and Supervised, Incremental Learning. IJCNN (6) Georgios C. Anagnostopoulos, Michael Georgiopoulos
1999	J	`jnl`	An ordering algorithm for pattern presentation in fuzzy ARTMAP that tends to improve generalization performance. IEEE Trans. Neural Networks Issam Dagher, Michael Georgiopoulos, Gregory L. Heileman, George Bebis
1999	J	`jnl`	Learning affine transformations. Pattern Recognit. George Bebis, Michael Georgiopoulos, Niels da Vitoria Lobo, Mubarak Shah
1999	J	`jnl`	Properties of learning of a Fuzzy ART Variant. Neural Networks Michael Georgiopoulos, Issam Dagher, Gregory L. Heileman, George Bebis
1998	J	`jnl`	Application of Neural Networks and Simulation Modeling in Manufacturing System Design. Interfaces Mansooreh Mollaghasemi, Kenneth LeCroy, Michael Georgiopoulos
1998	J	`jnl`	Indexing Based on Algebraic Functions of Views. Comput. Vis. Image Underst. George Bebis, Michael Georgiopoulos, Mubarak Shah, Niels da Vitoria Lobo
1998	A*	`conf`	Using Algebraic Functions of Views for Indexing-Based Object Recognition. ICCV George Bebis, Michael Georgiopoulos, Mubarak Shah, Niels da Vitoria Lobo
1998	J	`jnl`	Using self-organizing maps to learn geometric hash functions for model-based object recognition. IEEE Trans. Neural Networks George Bebis, Michael Georgiopoulos, Niels da Vitoria Lobo
1997	J	`jnl`	Coupling weight elimination with genetic algorithms to reduce network size and preserve generalization. Neurocomputing George Bebis, Michael Georgiopoulos, Takis Kasparis
1997	—	`conf`	Properties of learning of a fuzzy ART variant. ICNN Michael Georgiopoulos, Issam Dagher, Gregory L. Heileman, George Bebis
1997	—	`conf`	The generalization capabilities of ARTMAP. ICNN Gregory L. Heileman, Michael Georgiopoulos, Michael J. Healy, Stephen J. Verzi
1996	J	`jnl`	A Mixed Analog/Digital VLSI Design and Simulation of An Adaptive Resonance Theory (ART) Neural Network Architecture. Simul. Ching S. Ho, Juin J. Liou, Michael Georgiopoulos, Christos G. Christodoulou
1996	—	`conf`	Coupling weight elimination and genetic algorithms. ICNN George Bebis, Michael Georgiopoulos, Takis Kasparis
1996	B	`conf`	Learning affine transformations of the plane for model-based object recognition. ICPR George Bebis, Michael Georgiopoulos, Niels da Vitoria Lobo, Mubarak Shah
1996	J	`jnl`	Order of Search in Fuzzy ART and Fuzzy ARTMAP: Effect of the Choice Parameter. Neural Networks Michael Georgiopoulos, Hans Fernlund, George Bebis, Gregory L. Heileman
1995	J	`jnl`	Direct-sequence Spread-Spectrum with Transform Domain Interference Suppression. J. Circuits Syst. Comput. Takis Kasparis, Michael Georgiopoulos, Qurban A. Memon
1995	J	`jnl`	Fuzzy ART properties. Neural Networks Juxin Huang, Michael Georgiopoulos, Gregory L. Heileman
1995	A*	`conf`	Learning Geometric Hashing Functions for Model-Based Object Recognition. ICCV George Bebis, Michael Georgiopoulos, Niels da Vitoria Lobo
1994	J	`jnl`	A dynamical adaptive resonance architecture. IEEE Trans. Neural Networks Gregory L. Heileman, Michael Georgiopoulos, Chaouki T. Abdallah
1994	J	`jnl`	Properties of learning in ARTMAP. Neural Networks Michael Georgiopoulos, Juxin Huang, Gregory L. Heileman
1992	J	`jnl`	A General Framework for Concurrent Simulation of Neural Network Models. IEEE Trans. Software Eng. Gregory L. Heileman, Michael Georgiopoulos, William D. Roome
1992	J	`jnl`	The Neural Networks Michael Georgiopoulos, Gregory L. Heileman, Juxin Huang
1991	J	`jnl`	Correction to 'Packet error probabilities in frequency hopped spread-spectrum packet radio networks-memoryless frequency hopping patterns considered'. IEEE Trans. Commun. Michael Georgiopoulos
1991	J	`jnl`	Properties of learning related to pattern diversity in ART1. Neural Networks Michael Georgiopoulos, Gregory L. Heileman, Juxin Huang
1990	J	`jnl`	A Neural Net Associative Memory for Real-Time Applications. Neural Comput. Gregory L. Heileman, George M. Papadourakis, Michael Georgiopoulos
1990	J	`jnl`	Convergence Properties of Learning in ART1. Neural Comput. Michael Georgiopoulos, Gregory L. Heileman, Juxin Huang
1990	J	`jnl`	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. Michael Georgiopoulos
1990	J	`jnl`	Packet error probabilities in direct-sequence spread-spectrum packet radio networks. IEEE Trans. Commun. Michael Georgiopoulos
1988	J	`jnl`	Packet error probabilities in frequency-hopped spread-spectrum packet radio networks-memoryless frequency-hopping patterns considered. IEEE Trans. Commun. Michael Georgiopoulos
1985	J	`jnl`	Collision Resolution Protocols Utilizing Absorptions and Collision Multiplicities. IEEE Trans. Commun. Michael Georgiopoulos, P. Papantoni-Kazakos