M. Georgiopoulos

Michael Georgiopoulos, John Reeder, Anna Koufakou, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

APHID: An architecture for private, high-performance integrated data mining

Michael Georgiopoulos, Anna Koufakou, Jimmy Secretan, 2010, Future Gener. Comput. Syst..

APHID: A Practical Architecture for High-Performance, Privacy-Preserving Data Mining

Michael Georgiopoulos, Anna Koufakou, Jimmy Secretan, 2009, DMIN.

A Privacy Preserving Probabilistic Neural Network for Horizontally Partitioned Databases

Michael Georgiopoulos, Jimmy Secretan, José Castro, 2007, 2007 International Joint Conference on Neural Networks.

Transforming the Culture of Internship Experiences through Social Learning Communities

M. Georgiopoulos, L. Massi, Jenna Christie-Tabron, 2016 .

A Grid Based System for Data Mining Using MapReduce

Michael Georgiopoulos, Jimmy Secretan, Kelvin Cardona, 2007 .

Improving student learning in calculus through applications

M. Georgiopoulos, M. Georgiopoulos, S. Hagen, 2011 .

A Dynamical Adaptive Resonance Architecture Preferred Address for Correspondence and Return of Proofs

M. Georgiopoulos, 2007 .

Detecting Outliers in Categorical Data Sets Using Non-Derivable Itemsets

M. Georgiopoulos, Anna Koufakou, Michelle Fox, 2008 .

Applying Robust Optimization to Capacity Expansion of One Location in Telecommunications with Demand Uncertainty

M. Laguna, M. Georgiopoulos, M. Mollaghasemi, 1998 .

Knowledge-Based Intelligent Information and Engineering Systems

Georgios C. Anagnostopoulos, Michael Georgiopoulos, M. Georgiopoulos, 2003, Lecture Notes in Computer Science.

Boosted ARTMAP

Michael Georgiopoulos, Gregory L. Heileman, Stephen J. Verzi, 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

G-PNN: A genetically engineered probabilistic neural network

Michael Georgiopoulos, Assem Kaylani, M. Georgiopoulos, 2010 .

A fuzzy gap statistic for fuzzy C-means

Georgios C. Anagnostopoulos, Michael Georgiopoulos, C. Sentelle, 2007 .

Correctness and Performance Properties of Pipelined Parallel Competitive Neural Network Algorithms on Clusters of workstations

J. Secretan, M. Georgiopoulos, R. Demara, 2006 .

Influences of Friends and Family on Women’s Pursuit of Computing: A Sequential Explanatory Design

Michael Georgiopoulos, Zahra Hazari, Monique Ross, 2019 .

M. Georgiopoulos, Ruben Ramirez-Padron, David Foregger, 2009 .

A fuzzy ARTMAP based classification technique of natural textures

M. Georgiopoulos, J. Rolland, T. Kasparis, 1999, 18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397).

Multi-Objective Evolutionary Optimization of Probabilistic Neural Network

M. Georgiopoulos, Assem Kaylani, Talitha Rubio, 2015 .

A Scalable and Efficient Outlier Detection Strategy for Categorical Data

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Anna Koufakou, 2007, 19th IEEE International Conference on Tools with Artificial Intelligence(ICTAI 2007).

Defining an Evaluation Framework for Undergraduate Research Experiences

M. Georgiopoulos, L. Massi, C. Geiger, 2011 .

k -norm misclassification rate estimation for decision trees

M. Georgiopoulos, G. Anagnostopoulos, M. Zhong, 2007 .

Influencing Sense Of Community In A Stem Living Learning Community: An Nsf Step Funded Project

Cynthia Y. Young, M. Georgiopoulos, C. Young, 2010 .

Maintaining Coherence among Entities ’ States in a Distributed Multi-Agent Systemi

Amy E. Henninger, M. Georgiopoulos, R. Demara, 2005 .

Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition

Fabio Roli, Georgios C. Anagnostopoulos, Michael Georgiopoulos, 2002 .

Exploring Negative Career Thoughts Between STEM-Declared and STEM-Interested Students

Melissa A. Dagley, M. Georgiopoulos, Andrew P. Daire, 2018, Journal of Employment Counseling.

Simulation Networking Protocol Alternatives : Final Report 1-1-1989

M. Georgiopoulos, 2019 .

Feed-forward neural networks

M. Georgiopoulos, G. Bebis, M. Georgiopoulos, 1994, IEEE Potentials.

Multi-objective evolutionary optimization of exemplar-based classifiers: A PNN test case

Michael Georgiopoulos, Assem Kaylani, Tiantian Zhang, 2011, The 2011 International Joint Conference on Neural Networks.

Methods for Parallelizing the Probabilistic Neural Network on a Beowulf Cluster Computer

Michael Georgiopoulos, Jimmy Secretan, Joshua Hecker, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Data-partitioning using the Hilbert space filling curves: Effect on the speed of convergence of Fuzzy ARTMAP for large database problems

Avelino J. Gonzalez, Michael Georgiopoulos, Ronald F. DeMara, 2005, Neural Networks.

Gap-Based Estimation: Choosing the Smoothing Parameters for Probabilistic and General Regression Neural Networks

Mark Rivera, Samuel Richie, Mansooreh Mollaghasemi, 2006, Neural Computation.

How Do Educational Experiences Predict Computing Identity?

Stephanie J. Lunn, Monique S. Ross, Kenneth J. Christensen, 2021, ACM Trans. Comput. Educ..

Unifying an Introduction to Artificial Intelligence Course through Machine Learning Laboratory Experiences

Ingrid Russell, Michael Georgiopoulos, Todd W. Neller, 2005 .

Generalized Entropy for Splitting on Numerical Attributes in Decision Trees

Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Michael Georgiopoulos, 2006, FLAIRS.

Pareto-Path Multitask Multiple Kernel Learning

Cong Li, Georgios C. Anagnostopoulos, Michael Georgiopoulos, 2014, IEEE Transactions on Neural Networks and Learning Systems.

A Unifying Framework for Typical Multitask Multiple Kernel Learning Problems

Cong Li, Georgios C. Anagnostopoulos, Michael Georgiopoulos, 2014, IEEE Transactions on Neural Networks and Learning Systems.

Learning tactical human behavior through observation of human performance

Avelino J. Gonzalez, Michael Georgiopoulos, Ronald F. DeMara, 2006, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

An Adaptive Multiobjective Approach to Evolving ART Architectures

Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Michael Georgiopoulos, 2010, IEEE Transactions on Neural Networks.

An Adaptive Multiobjective Approach to Evolving

Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Michael Georgiopoulos, 2010 .

An adaptive multiobjective evolutionary approach to optimize artmap neural networks

Mansooreh Mollaghasemi, Michael Georgiopoulos, Assem Kaylani, 2008 .

Properties of Learning in ARTl

M. Georgiopoulos, G. Heileman, 2004 .

Art Neural Nets

Michael Georgiopoulos, Gregory L. Heileman, Juxin Huang, 1999 .

Properties of learning of a fuzzy ART variant

Michael Georgiopoulos, George Bebis, Gregory L. Heileman, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

Order of Search in Fuzzy ART and Fuzzy ARTMAP: Effect of the Choice Parameter

Michael Georgiopoulos, Gregory L. Heileman, George Bebis, 1996, Neural Networks.

A Mixed Analog/Digital VLSI Design and Simulation of An Adaptive Resonance Theory (ART) Neural Network Architecture

Christos G. Christodoulou, Juin J. Liou, Michael Georgiopoulos, 1996, Simul..

Fuzzy ART properties

Michael Georgiopoulos, Gregory L. Heileman, Juxin Huang, 1995, Neural Networks.

A dynamical adaptive resonance architecture

Chaouki T. Abdallah, Michael Georgiopoulos, Gregory L. Heileman, 1994, IEEE Trans. Neural Networks.

A survey of learning results for ART1 networks

M. Georgiopoulos, G. L. Heileman, Juxin Hwang, 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

Hardware implementation of ART1 memories using a mixed analog/digital approach

Michael Georgiopoulos, J. J. Liou, C. S. Ho, 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

Hardware implementation of an adaptive resonance theory (ART) neural network using compensated operational amplifiers

M. Georgiopoulos, C. Christodoulou, J. Liou, 1994, Defense, Security, and Sensing.

Properties of learning in ARTMAP

Michael Georgiopoulos, Gregory L. Heileman, Juxin Huang, 1994, Neural Networks.

Analogue circuit design and implementation of an adaptive resonance theory (ART) neural network architecture

Michael Georgiopoulos, Gregory L. Heileman, Ching S. Ho, 1994 .

Analog circuit design and implementation of an adaptive resonance theory (ART) neural network architecture

Christos G. Christodoulou, Michael Georgiopoulos, Juin J. Liou, 1993, Defense, Security, and Sensing.

Design and Simulation of Analog Circuits for Adaptive Resonance Theory (art) Neural Networks

Michael Georgiopoulos, C.-S. Ho, J. J. Liou, 1993, 1993 Symposium on Semiconductor Modeling and Simulation [Technical Digest].

Circuit simulation of adaptive resonance theory (ART) neural network using Pspice

Michael Georgiopoulos, J. J. LlOU, D. Wuerz, 1993 .

A General Framework for Concurrent Simulation of Neural Network Models

Michael Georgiopoulos, Gregory L. Heileman, W. D. Roome, 1992, IEEE Trans. Software Eng..

The N-N-N conjecture in ART1

Michael Georgiopoulos, Gregory L. Heileman, J. Huang, 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.

The analysis of the augmented ART1 neural network

Michael Georgiopoulos, G. L. Heileman, M. Georgiopoulos, 1991, [Proceedings] 1991 IEEE International Joint Conference on Neural Networks.

Properties of learning in ART1

Michael Georgiopoulos, Gregory L. Heileman, J. Huang, 1991, [Proceedings] 1991 IEEE International Joint Conference on Neural Networks.

Properties of learning related to pattern diversity in ART1

Michael Georgiopoulos, Gregory L. Heileman, Juxin Huang, 1991, Neural Networks.

The augmented ART1 neural network

Michael Georgiopoulos, Gregory L. Heileman, M. Georgiopoulos, 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

Convergence Properties of Learning in ART1

Michael Georgiopoulos, Gregory L. Heileman, Juxin Huang, 1990, Neural Computation.

Genetically Engineered ART Architectures

Mansooreh Mollaghasemi, Annie S. Wu, Georgios C. Anagnostopoulos, 2007, Computational Intelligence Based on Lattice Theory.

GFAM: Evolving Fuzzy ARTMAP Neural Networks

Mansooreh Mollaghasemi, Annie S. Wu, Georgios C. Anagnostopoulos, 2007, FLAIRS.

Boosted ARTMAP: Modifications to fuzzy ARTMAP motivated by boosting theory

Michael Georgiopoulos, Gregory L. Heileman, Stephen J. Verzi, 2006, Neural Networks.

Modifications of the fuzzy-artmap algorithm for distributed learning in large data sets

Michael Georgiopoulos, José Castro, M. Georgiopoulos, 2004 .

Universal approximation with Fuzzy ART and Fuzzy ARTMAP

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Stephen J. Verzi, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Category regions as new geometrical concepts in Fuzzy-ART and Fuzzy-ARTMAP

Georgios C. Anagnostopoulos, Michael Georgiopoulos, M. Georgiopoulos, 2002, Neural Networks.

Reducing generalization error and category proliferation in ellipsoid ARTMAP via tunable misclassification error tolerance: boosted ellipsoid ARTMAP

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Gregory L. Heileman, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Fuzzy ART and Fuzzy ARTMAP with adaptively weighted distances

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Dimitrios Charalampidis, 2002, SPIE Defense + Commercial Sensing.

Boosted ellipsoid ARTMAP

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Gregory L. Heileman, 2002, SPIE Defense + Commercial Sensing.

Elipsoid ART/ARTMAP category regions for the choice-by-difference category choice function

Georgios C. Anagnostopoulos, Michael Georgiopoulos, M. Georgiopoulos, 2002, SPIE Defense + Commercial Sensing.

Cross-validation in Fuzzy ARTMAP for large databases

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Takis Kasparis, 2001, Neural Networks.

New geometric concepts in fuzzy-ART and fuzzy-ARTMAP: category regions

Georgios C. Anagnostopoulos, Michael Georgiopoulos, M. Georgiopoulos, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Ellipsoid ART and ARTMAP for incremental clustering and classification

Georgios C. Anagnostopoulos, Michael Georgiopoulos, M. Georgiopoulos, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Ellipsoid ART and ARTMAP for incremental unsupervised and supervised learning

Georgios C. Anagnostopoulos, Michael Georgiopoulos, M. Georgiopoulos, 2001, SPIE Defense + Commercial Sensing.

New geometrical perspective of fuzzy ART and fuzzy ARTMAP learning

Georgios C. Anagnostopoulos, Michael Georgiopoulos, M. Georgiopoulos, 2001, SPIE Defense + Commercial Sensing.

Hypersphere ART and ARTMAP for unsupervised and supervised, incremental learning

Georgios C. Anagnostopoulos, Michael Georgiopoulos, M. Georgiopoulos, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Hierarchical ARTMAP

Michael Georgiopoulos, Gregory L. Heileman, Michael J. Healy, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

An ordering algorithm for pattern presentation in fuzzy ARTMAP that tends to improve generalization performance

Issam Dagher, Michael Georgiopoulos, Gregory L. Heileman, 1999, IEEE Trans. Neural Networks.

Automating the CGF Model Development and Refinement Process by Observing Expert Behavior in a Simulation

Avelino J. Gonzalez, Michael Georgiopoulos, Ronald F. DeMara, 1998 .

Integer-encoded massively parallel processing of fast-learning fuzzy ARTMAP neural networks

Michael Georgiopoulos, Hubert A. Bahr, Ronald F. DeMara, 1997, Defense, Security, and Sensing.

On the application of a neural network in the design of cascaded gratings

Christos G. Christodoulou, Michael Georgiopoulos, Juin J. Liou, 1995 .

Design of gratings and frequency selective surfaces using fuzzy ARTMAP neural networks

Christos G. Christodoulou, M. Georgiopoulos, Juin J. Liou, 1995 .

Properties of learning in fuzzy ART

Michael Georgiopoulos, Juxin Huang, Gregory L. Heileman, 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

Application of the ARTMAP neural network in the design of cascaded gratings and frequency selective surfaces

Christos G. Christodoulou, Michael Georgiopoulos, Juin J. Liou, 1994, Proceedings of IEEE Antennas and Propagation Society International Symposium and URSI National Radio Science Meeting.

Design of gratings and frequency-selective surfaces using ARTMAP neural networks

Christos G. Christodoulou, Michael Georgiopoulos, Juin J. Liou, 1994, Defense, Security, and Sensing.

Non-derivable itemsets for fast outlier detection in large high-dimensional categorical data

Michael Georgiopoulos, Anna Koufakou, Jimmy Secretan, 2011, Knowledge and Information Systems.

Scalable and efficient outlier detection in large distributed data sets with mixed-type attributes

Michael Georgiopoulos, Anna Koufakou, M. Georgiopoulos, 2009 .

Detecting Outliers in High-Dimensional Datasets with Mixed Attributes

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Anna Koufakou, 2008, DMIN.

A Scalable and Efficient Outlier Detection Strategy for Categorical Data

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Anna Koufakou, 2007, 19th IEEE International Conference on Tools with Artificial Intelligence(ICTAI 2007).

PDU Bundling and Replication for Reduction of Distributed Simulation Communication Traffic

Avelino J. Gonzalez, Michael Georgiopoulos, Ronald F. DeMara, 2004 .

Learning in the feed-forward random neural network: A critical review

Taskin Koçak, Cong Li, Michael Georgiopoulos, 2011, Perform. Evaluation.

Generative Neural Networks for Multi-task Life-Long Learning

J. Reeder, M. Georgiopoulos, M. Georgiopoulos, 2014, Comput. J..

Redesigning Computer Engineering Gateway Courses Using a Novel Remediation Hierarchy

Richard Hartshorne, Ronald F. DeMara, Navid Khoshavi, 2016 .

SPRINT Multi-Objective Model Racing

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Tiantian Zhang, 2015, GECCO.

Probabilistic Neural Network : Comparison of the Cross-validation Approach and a Fast Heuristic to Choose the Smoothing Parameters

M. Georgiopoulos, G. Anagnostopoulos, M. Mollaghasemi, 2007 .

Pareto-Optimal Model Selection via SPRINT-Race

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Tiantian Zhang, 2018, IEEE Transactions on Cybernetics.

MO-GART: Multiobjective genetic ART architectures

Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Michael Georgiopoulos, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Multi-Objective Model Selection via Racing

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Tiantian Zhang, 2016, IEEE Transactions on Cybernetics.

AG-ART: An adaptive approach to evolving ART architectures

Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Michael Georgiopoulos, 2009, Neurocomputing.

Genetic search for face detection and verification

George Bebis, Michael Georgiopoulos, Satish Uthiram, 1999, Proceedings 1999 International Conference on Information Intelligence and Systems (Cat. No.PR00446).

A Structural Equation Model Analysis of Computing Identity Sub-Constructs and Student Academic Persistence

Kenneth J. Christensen, Michael Georgiopoulos, Zahra Hazari, 2018, 2018 IEEE Frontiers in Education Conference (FIE).

Online model racing based on extreme performance

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Tiantian Zhang, 2014, GECCO.

S-Race: a multi-objective racing algorithm

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Tiantian Zhang, 2013, GECCO '13.

Kernel principal subspace Mahalanobis distances for outlier detection

Cong Li, Georgios C. Anagnostopoulos, Michael Georgiopoulos, 2011, The 2011 International Joint Conference on Neural Networks.

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

Michael Georgiopoulos, Lisa Massi, Patrice Lancey, 2012, 2012 Frontiers in Education Conference Proceedings.

A fast outlier detection strategy for distributed high-dimensional data sets with mixed attributes

Michael Georgiopoulos, Anna Koufakou, M. Georgiopoulos, 2010, Data Mining and Knowledge Discovery.

Error control coding for meteor burst channels

M. Georgiopoulos, M. A. Belkerdid, T. J. Frederick, 1991, MILCOM 91 - Conference record.

An analysis of misclassification rates for decision trees

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Mingyu Zhong, 2007 .

Segmentation of textured images based on fractals and image filtering

Michael Georgiopoulos, Dimitrios Charalampidis, Jannick P. Rolland, 2001, Pattern Recognit..

Imitating Personalized Expressions in an Avatar through Machine Learning

Avelino J. Gonzalez, Michael Georgiopoulos, Cassondra Puklavage, 2010, FLAIRS.

Imitating Personalized Expressions in an

Avelino J. Gonzalez, Michael Georgiopoulos, Cassondra Puklavage, 2010 .

A k-norm pruning algorithm for decision tree classifiers based on error rate estimation

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Mingyu Zhong, 2008, Machine Learning.

A Backward Adjusting Strategy for the C4.5 Decision Tree Classifier

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Mingyu Zhong, 2007 .

Recruiting Undecided Admits to Pursue a STEM Degree

Cynthia Y. Young, Melissa A. Dagley, M. Georgiopoulos, 2016 .

Establishing a Women’s Mentorship Network in a STEM Learning Community

Cynthia Y. Young, Melissa A. Dagley, M. Georgiopoulos, 2013 .

A Simple Method for Solving the SVM Regularization Path for Semidefinite Kernels

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Christopher Sentelle, 2016, IEEE Transactions on Neural Networks and Learning Systems.

Math & Physics REU and Machine Learning REU: Program Overviews

Michael Georgiopoulos, Costas Efthimiou, C. Efthimiou, 2009 .

The Impact of Technical Interviews, and other Professional and Cultural Experiences on Students' Computing Identity

Michael Georgiopoulos, Zahra Hazari, Stephanie Lunn, 2021, ITiCSE.

Performance of radial-basis function networks for direction of arrival estimation with antenna arrays

Michael Georgiopoulos, Christos G. Christodoulou, A. H. El Zooghby, 1997 .

A winner-take-all methodology: finding the best evolutionary algorithm for the global optimization of functions

Michael Georgiopoulos, Tiantian Zhang, Giselle Borrero, 2012, GECCO '12.

Internships and Undergraduate Research: Impact, Support, and Institutionalization of an NSF S-STEM Program through Partnerships with Industry and Funding from Federal and Local Workforce Agencies

Michael Georgiopoulos, Lisa Massi, Cameron M. Ford, 2013 .

Yes: A Nsf S Stem Scholarship Program Experience At The University Of Central Florida

M. Georgiopoulos, L. Massi, C. Ford, 2010 .

On Extending the SMO Algorithm Sub-Problem

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Cynthia Young, 2007, 2007 International Joint Conference on Neural Networks.

Neural network-based adaptive beamforming for one- and two-dimensional antenna arrays

Christos G. Christodoulou, Michael Georgiopoulos, A. H. El Zooghby, 1998 .

Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshop, SSPR & SPR 2008, Orlando, USA, December 4-6, 2008. Proceedings ... Vision, Pattern Recognition, and Graphics)

Fabio Roli, Georgios C. Anagnostopoulos, James T. Kwok, 2008 .

A neural network-based smart antenna for multiple source tracking

Michael Georgiopoulos, Christos G. Christodoulou, A. H. El Zooghby, 2000 .

Applications of Neural Networks in Electromagnetics

Michael Georgiopoulos, Christos G. Christodoulou, M. Georgiopoulos, 2001 .

Classification of noisy signal using fuzzy ARTMAP neural networks

Michael Georgiopoulos, Dimitrios Charalampidis, Takis Kasparis, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Classification of noisy patterns using ARTMAP-based neural networks

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Dimitrios Charalampidis, 2000, SPIE Defense + Commercial Sensing.

Texture classification using ART-based neural networks and fractals

Michael Georgiopoulos, Dimitrios Charalampidis, Takis Kasparis, 1998, Defense, Security, and Sensing.

Concurrent object-oriented simulation of neural network models

G. L. Heileman, M. Georgiopoulos, W. D. Roome, 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.

Increasing Retention and Graduation Rates Through a STEM Learning Community

Melissa A. Dagley, M. Georgiopoulos, C. Young, 2016 .

Learning Hash Function through Codewords pdf

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Yinjie Huang, 2019, ArXiv.

Hash Function Learning via Codewords pdf

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Yinjie Huang, 2015, ECML/PKDD.

Multi-Label Learning Via Codewords

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Yinjie Huang, 2018, 2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI).

Reduced-Rank Local Distance Metric Learning pdf

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Yinjie Huang, 2013, ECML/PKDD.

Efficient Revised Simplex Method for SVM Training

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Christopher Sentelle, 2011, IEEE Transactions on Neural Networks.

Boris Mederos, Michael Georgiopoulos, Ruben Ramirez-Padron, 2010, IDA.

An efficient active set method for SVM training without singular inner problems

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Christopher Sentelle, 2009, 2009 International Joint Conference on Neural Networks.

A fast revised simplex method for SVM training

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Christopher Sentelle, 2008, 2008 19th International Conference on Pattern Recognition.

Robust Manifold Learning via Conformity Pursuit

George Atia, Michael Georgiopoulos, George K. Atia, 2019, IEEE Signal Processing Letters.

Accelerated learning of Generalized Sammon Mappings

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Yinjie Huang, 2011, The 2011 International Joint Conference on Neural Networks.

A data partitioning approach to speed up the fuzzy ARTMAP algorithm using the Hilbert space-filling curve

M. Georgiopoulos, M. Georgiopoulos, R. Demara, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

Pipelining of Fuzzy ARTMAP without matchtracking: Correctness, performance bound, and Beowulf evaluation

Avelino J. Gonzalez, Georgios C. Anagnostopoulos, Michael Georgiopoulos, 2007, Neural Networks.

Pipelining of Fuzzy–ARTMAP (FAM) without Matchtracking (MT)

Avelino J. Gonzalez, Georgios C. Anagnostopoulos, Michael Georgiopoulos, 2006 .

m-GFAM:: An elegant approach to genetically optimize Fuzzy ARTMAP Neural Network Architectures

Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Michael Georgiopoulos, 2007 .

A Connectionist-Symbolic Approach to Modeling Agent Behavior: Neural Networks Grouped by Contexts

Avelino J. Gonzalez, Michael Georgiopoulos, Ronald F. DeMara, 2001, CONTEXT.

The Impact of a Community of Practice Scholarship Program on Students’ Computing Identity

M. Georgiopoulos, Z. Hazari, Maral Kargarmoakhar, 2023, ACM Trans. Comput. Educ..

Efficient evolution of ART neural networks

Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Michael Georgiopoulos, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Analyzing the Fuzzy ARTMAP Matchtracking mechanism with Co-Objective Optimization Theory

Michael Georgiopoulos, Jimmy Secretan, José Castro, 2007, 2007 International Joint Conference on Neural Networks.

Genetic Optimization of ART Neural Network Architectures

Mansooreh Mollaghasemi, Annie S. Wu, Georgios C. Anagnostopoulos, 2007, 2007 International Joint Conference on Neural Networks.

Experiments with Safe muARTMAP : Effect of the network parameters on the network performance

Samuel Richie, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, 2007, Neural Networks.

Experiments with Safe ARTMAP and Comparisons to Other ART Networks

Samuel Richie, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Off-line structural risk minimization and BARTMAP-S

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Stephen J. Verzi, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Overtraining in fuzzy ARTMAP: Myth or reality?

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Takis Kasparis, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Cross-validation in fuzzy ARTMAP neural networks for large sample classification problems

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Takis Kasparis, 2001, SPIE Defense + Commercial Sensing.

Fuzzy ARTVar: an improved fuzzy ARTMAP algorithm

Michael Georgiopoulos, George Bebis, Gregory L. Heileman, 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

Tracking dirty proceeds: Exploring data mining technologies as tools to investigate money laundering

Avelino J. Gonzalez, Michael Georgiopoulos, Ronald F. DeMara, 2003 .

Understanding the Experiences that Contribute to the Inclusion of Underrepresented Groups in Computing

Zahra Hazari, Stephanie Lunn, Monique Ross, 2020, 2020 IEEE Frontiers in Education Conference (FIE).

Progress Of The Excel Program At The University Of Central Florida: An Nsf Step Funded Project

Cherie L. Geiger, Anna Koufakou, Scott C. Hagen, 2009 .

Application of neural networks and simulation modeling in manufacturing system design

M. Georgiopoulos, M. Mollaghasemi, K. LeCroy, 1996, Southcon/96 Conference Record.