Michael Georgiopoulos

ORCID

Publication Activity (10 Years)

Years Active: 1985-2024
Publications (10 Years): 20

Top Venues

CoRR

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Cybern.

ECML/PKDD (2)

Publications

Maral Kargarmoakhar, Monique Ross, Zahra Hazari, Stephen Secules, Mark Allen Weiss, Michael Georgiopoulos, Kenneth J. Christensen, Tiana Solis
The Impact of a Community of Practice Scholarship Program on Students' Computing Identity. ACM Trans. Comput. Educ. 24 (1) (2024)
Mahlagha Sedghi, Michael Georgiopoulos, George K. Atia
A Multi-Criteria Approach for Fast and Robust Representative Selection from Manifolds. IEEE Trans. Knowl. Data Eng. 34 (7) (2022)
Stephanie Lunn, Monique Ross, Zahra Hazari, Mark Allen Weiss, Michael Georgiopoulos, Ken Christensen
How Do Educational Experiences Predict Computing Identity? ACM Trans. Comput. Educ. 22 (2) (2022)
Mahlagha Sedghi, Michael Georgiopoulos, George K. Atia
Sketches by MoSSaRT: Representative selection from manifolds with gross sparse corruptions. Pattern Recognit. 124 (2022)
Stephanie Lunn, Monique Ross, Zahra Hazari, Mark Allen Weiss, Michael Georgiopoulos, Kenneth J. Christensen
The Impact of Technical Interviews, and other Professional and Cultural Experiences on Students' Computing Identity. ITiCSE (2021)
Maral Kargarmoakhar, Stephanie Lunn, Leila Zahedi, Monique Ross, Zahra Hazari, Mark Allen Weiss, Michael Georgiopoulos, Kenneth J. Christensen, Tiana Solis
Understanding the Experiences that Contribute to the Inclusion of Underrepresented Groups in Computing. FIE (2020)
Mahlagha Sedghi, George K. Atia, Michael Georgiopoulos
Non-linear Manifold Clustering based on Conformity Index. ACSSC (2020)
Mahlagha Sedghi, George K. Atia, Michael Georgiopoulos
A Multi-criteria Approach for Fast and Outlier-aware Representative Selection from Manifolds. CoRR (2020)
Yinjie Huang, Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Reduced-Rank Local Distance Metric Learning for k-NN Classification. CoRR (2019)
Mahlagha Sedghi, George K. Atia, Michael Georgiopoulos
Low-Dimensional Decomposition of Manifolds in Presence of Outliers. MLSP (2019)
Yinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Learning Hash Function through Codewords. CoRR (2019)
Mahlagha Sedghi, George K. Atia, Michael Georgiopoulos
Robust Manifold Learning via Conformity Pursuit. IEEE Signal Process. Lett. 26 (3) (2019)
Mohsen Taheri, Monique Ross, Zahra Hazari, Mark Allen Weiss, Michael Georgiopoulos, Ken Christensen, Tiana Solis, Atalie Garcia, Deepa Chari
A Structural Equation Model Analysis of Computing Identity Sub-Constructs and Student Academic Persistence. FIE (2018)
Mahlagha Sedghi, George K. Atia, Michael Georgiopoulos
Kernel Coherence Pursuit: A Manifold Learning-based Outlier Detection Technique. ACSSC (2018)
Tiantian Zhang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Pareto-Optimal Model Selection via SPRINT-Race. IEEE Trans. Cybern. 48 (2) (2018)
Mahlagha Sedghi, Yinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Multi-Label Learning Via Codewords. ICTAI (2018)
Mahlagha Sedghi, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Sparse Inductive Embedding: An Explorative Data Visualization Technique. ICTAI (2017)
Niloofar Yousefi, Cong Li, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Michael Georgiopoulos
Multi-Task Learning Using Neighborhood Kernels. CoRR (2017)
Christopher Sentelle, Georgios C. Anagnostopoulos, Michael Georgiopoulos
A Simple Method for Solving the SVM Regularization Path for Semidefinite Kernels. IEEE Trans. Neural Networks Learn. Syst. 27 (4) (2016)
Tiantian Zhang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Multi-Objective Model Selection via Racing. IEEE Trans. Cybern. 46 (8) (2016)
Niloofar Yousefi, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Multi-Task Learning with Group-Specific Feature Space Sharing. CoRR (2015)
Niloofar Yousefi, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Multi-Task Learning with Group-Specific Feature Space Sharing. ECML/PKDD (2) (2015)
Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Pareto-Path Multitask Multiple Kernel Learning. IEEE Trans. Neural Networks Learn. Syst. 26 (1) (2015)
Yinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Hash Function Learning via Codewords. CoRR (2015)
Yinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Hash Function Learning via Codewords. ECML/PKDD (1) (2015)
Tiantian Zhang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
SPRINT Multi-Objective Model Racing. GECCO (2015)
Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Multitask Classification Hypothesis Space With Improved Generalization Bounds. IEEE Trans. Neural Networks Learn. Syst. 26 (7) (2015)
Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Pareto-Path Multi-Task Multiple Kernel Learning. CoRR (2014)
Tiantian Zhang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Online model racing based on extreme performance. GECCO (2014)
Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
A Unifying Framework for Typical Multi-Task Multiple Kernel Learning Problems. CoRR (2014)
Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Conic Multi-task Classification. ECML/PKDD (2) (2014)
Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Conic Multi-Task Classification. CoRR (2014)
John Reeder, Michael Georgiopoulos
Generative Neural Networks for Multi-task Life-Long Learning. Comput. J. 57 (3) (2014)
Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
A Unifying Framework for Typical Multitask Multiple Kernel Learning Problems. IEEE Trans. Neural Networks Learn. Syst. 25 (7) (2014)
Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Output-Space Distance Metric Learning for k-NN Classification. CoRR (2013)
Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Multi-Task Classification Hypothesis Space with Improved Generalization Bounds. CoRR (2013)
Yinjie Huang, Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Reduced-Rank Local Distance Metric Learning. ECML/PKDD (3) (2013)
Tiantian Zhang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
S-Race: a multi-objective racing algorithm. GECCO (2013)
Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Kernel-based distance metric learning in the output space. IJCNN (2013)
Tiantian Zhang, Giselle Borrero, Michael Georgiopoulos
A winner-take-all methodology: finding the best evolutionary algorithm for the global optimization of functions. GECCO (Companion) (2012)
Jean-Philippe Thivierge, Ali A. Minai, Hava T. Siegelmann, Cesare Alippi, Michael Georgiopoulos
A year of neural network research: Special Issue on the 2011 International Joint Conference on Neural Networks. Neural Networks 32 (2012)
Lisa Massi, Patrice Lancey, Uday Nair, Rachel Straney, Michael Georgiopoulos, Cynthia Young
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 (2012)
Anna Koufakou, Jimmy Secretan, Michael Georgiopoulos
Non-derivable itemsets for fast outlier detection in large high-dimensional categorical data. Knowl. Inf. Syst. 29 (3) (2011)
Talitha Rubio, Tiantian Zhang, Michael Georgiopoulos, Assem Kaylani
Multi-objective evolutionary optimization of exemplar-based classifiers: A PNN test case. IJCNN (2011)
Michael Georgiopoulos, Cong Li, Taskin Koçak
Learning in the feed-forward random neural network: A critical review. Perform. Evaluation 68 (4) (2011)
Christopher Sentelle, Georgios C. Anagnostopoulos, Michael Georgiopoulos
Efficient Revised Simplex Method for SVM Training. IEEE Trans. Neural Networks 22 (10) (2011)
Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Kernel principal subspace Mahalanobis distances for outlier detection. IJCNN (2011)
Yinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Accelerated learning of Generalized Sammon Mappings. IJCNN (2011)
Michael Georgiopoulos, Cong Li, Taskin Koçak
Learning in the feed-forward Random Neural Network: A Critical Review. ISCIS (2010)
Ruben Ramirez-Padron, David Foregger, Julie Manuel, Michael Georgiopoulos, Boris Mederos
Similarity Kernels for Nearest Neighbor-Based Outlier Detection. IDA (2010)
Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Christopher Sentelle, Mingyu Zhong
An adaptive multiobjective approach to evolving ART architectures. IEEE Trans. Neural Networks 21 (4) (2010)
Jimmy Secretan, Michael Georgiopoulos, Anna Koufakou, Kelvin Cardona
APHID: An architecture for private, high-performance integrated data mining. Future Gener. Comput. Syst. 26 (7) (2010)
Cassondra Puklavage, Alexander R. Pirela, Avelino J. Gonzalez, Michael Georgiopoulos
Imitating Personalized Expressions in an Avatar through Machine Learning. FLAIRS Conference (2010)
Anna Koufakou, Michael Georgiopoulos
A fast outlier detection strategy for distributed high-dimensional data sets with mixed attributes. Data Min. Knowl. Discov. 20 (2) (2010)
Jimmy Secretan, Anna Koufakou, Michael Georgiopoulos
APHID: A Practical Architecture for High-Performance, Privacy-Preserving Data Mining. DMIN (2009)
Christopher Sentelle, Georgios C. Anagnostopoulos, Michael Georgiopoulos
An efficient active set method for SVM training without singular inner problems. IJCNN (2009)
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
A Sustainable Model for Integrating Current Topics in Machine Learning Research Into the Undergraduate Curriculum. IEEE Trans. Educ. 52 (4) (2009)
Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos
AG-ART: An adaptive approach to evolving ART architectures. Neurocomputing 72 (10-12) (2009)
Anna Koufakou, Jimmy Secretan, Michelle Fox, Gary Gramajo, Georgios C. Anagnostopoulos, Michael Georgiopoulos
Outlier Detection for Large High-Dimensional Categorical Data using Non-Derivable and Non-Almost-Derivable Sets. DMIN (2009)
Anna Koufakou, Jimmy Secretan, John Reeder, Kelvin Cardona, Michael Georgiopoulos
Fast parallel outlier detection for categorical datasets using MapReduce. IJCNN (2008)
John Reeder, Roberto Miguez, Jessica Sparks, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Interactively evolved modular neural networks for game agent control. CIG (2008)
Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Properties of the k-norm pruning algorithm for decision tree classifiers. ICPR (2008)
Jason R. Beck, Maria Garcia, Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos
A Backward Adjusting Strategy and Optimization of the C4.5 Parameters to Improve C4.5's Performance. FLAIRS Conference (2008)
John Reeder, Gita Sukthankar, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Intelligent Trading Agents for Massively Multi-player Game Economies. AIIDE (2008)
Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos
MO-GART: Multiobjective genetic ART architectures. IEEE Congress on Evolutionary Computation (2008)
Christopher Sentelle, Georgios C. Anagnostopoulos, Michael Georgiopoulos
A fast revised simplex method for SVM training. ICPR (2008)
Anna Koufakou, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Detecting Outliers in High-Dimensional Datasets with Mixed Attributes. DMIN (2008)
Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos
-norm pruning algorithm for decision tree classifiers based on error rate estimation. Mach. Learn. 71 (1) (2008)
Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos
Efficient evolution of ART neural networks. IEEE Congress on Evolutionary Computation (2008)
José Castro, Jimmy Secretan, Michael Georgiopoulos, Ronald F. DeMara, Georgios C. Anagnostopoulos, Avelino J. Gonzalez
Pipelining of Fuzzy ARTMAP without matchtracking: Correctness, performance bound, and Beowulf evaluation. Neural Networks 20 (1) (2007)
Christopher Sentelle, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Cynthia Young
On Extending the SMO Algorithm Sub-Problem. IJCNN (2007)
Assem Kaylani, Ahmad Al-Daraiseh, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Annie S. Wu
Genetic Optimization of ART Neural Network Architectures. IJCNN (2007)
Anna Koufakou, Enrique G. Ortiz, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Kenneth M. Reynolds
A Scalable and Efficient Outlier Detection Strategy for Categorical Data. ICTAI (2) (2007)
Mingyu Zhong, Dave Coggeshall, Ehsan Ghaneie, Thomas Pope, Mark Rivera, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi, Samuel Richie
Gap-Based Estimation: Choosing the Smoothing Parameters for Probabilistic and General Regression Neural Networks. Neural Comput. 19 (10) (2007)
Jimmy Secretan, Michael Georgiopoulos, José Castro
A Privacy Preserving Probabilistic Neural Network for Horizontally Partitioned Databases. IJCNN (2007)
Ahmad Al-Daraiseh, Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Annie S. Wu, Georgios C. Anagnostopoulos
GFAM: Evolving Fuzzy ARTMAP neural networks. Neural Networks 20 (8) (2007)
Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Experiments with an innovative tree pruning algorithm. Artificial Intelligence and Applications (2007)
José Castro, Michael Georgiopoulos, Jimmy Secretan
Analyzing the Fuzzy ARTMAP Matchtracking mechanism with Co-Objective Optimization Theory. IJCNN (2007)
Mingyu Zhong, Bryan Rosander, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi, Samuel Richie
Experiments with Safe muARTMAP : Effect of the network parameters on the network performance. Neural Networks 20 (2) (2007)
Jimmy Secretan, Michael Georgiopoulos, Ian Maidhof, Philip Shibly, Joshua Hecker
Methods for Parallelizing the Probabilistic Neural Network on a Beowulf Cluster Computer. IJCNN (2006)
Ahmad Al-Daraiseh, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Annie S. Wu, Mansooreh Mollaghasemi
GFAM: A Genetic Algorithm Optimization of Fuzzy ARTMAP. FUZZ-IEEE (2006)
Stephen J. Verzi, Gregory L. Heileman, Michael Georgiopoulos
Boosted ARTMAP: Modifications to fuzzy ARTMAP motivated by boosting theory. Neural Networks 19 (4) (2006)
Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi
Generalized Entropy for Splitting on Numerical Attributes in Decision Trees. FLAIRS Conference (2006)
Mingyu Zhong, Dave Coggeshall, Ehsan Ghaneie, Thomas Pope, Mark Rivera, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi, Samuel Richie
Gap-Based Estimation: Choosing the Smoothing Parameters for Probabilistic and General Regression Neural Networks. IJCNN (2006)
Olcay Kursun, Anna Koufakou, Abhijit Wakchaure, Michael Georgiopoulos, Kenneth M. Reynolds, Ronald Eaglin
in Large Databases by a Novel Approach Based on Prefix-dictionary. Int. J. Artif. Intell. Tools 15 (5) (2006)
Olcay Kursun, Anna Koufakou, Bing Chen, Michael Georgiopoulos, Kenneth M. Reynolds, Ronald Eaglin
A Dictionary-Based Approach to Fast and Accurate Name Matching in Large Law Enforcement Databases. ISI (2006)
H. K. G. Fernlund, Avelino J. Gonzalez, Michael Georgiopoulos, Ronald F. DeMara
Learning tactical human behavior through observation of human performance. IEEE Trans. Syst. Man Cybern. Part B 36 (1) (2006)
Mingyu Zhong, Bryan Rosander, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi, Samuel Richie
Experiments with Safe ARTMAP and Comparisons to Other ART Networks. IJCNN (2006)
Ahmad Al-Daraiseh, Michael Georgiopoulos, Annie S. Wu, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi
GFAM: Evolving Fuzzy ARTMAP Neural Networks. FLAIRS Conference (2006)
José Castro, Michael Georgiopoulos, Ronald F. DeMara, Avelino J. Gonzalez
Data-partitioning using the Hilbert space filling curves: Effect on the speed of convergence of Fuzzy ARTMAP for large database problems. Neural Networks 18 (7) (2005)
Mansooreh Mollaghasemi, Michael Georgiopoulos, Anne Donnelly, Dayana Cope, Martin J. Steele
Educating Middle and High School Students in Space Operations: The Simulation Approach. WSC (2004)
José Castro, Michael Georgiopoulos, Ronald F. DeMara, Avelino J. Gonzalez
A Partitioned Fuzzy ARTMAP Implementation for Fast Processing of Large Databases on Sequential Machines. FLAIRS Conference (2004)
Michael Georgiopoulos, Georgios C. Anagnostopoulos, Madan Bharadwaj
Experimental Comparisons of Semi-Supervised and Supervised ART Classifiers (Invited Talk). FLAIRS Conference (2003)
Michael Georgiopoulos, José Castro, Annie S. Wu, Ronald F. DeMara, Erol Gelenbe, Avelino J. Gonzalez, Marcella K. Kysilka, Mansooreh Mollaghasemi
CRCD in machine learning at the University of Central Florida preliminary experiences. ITiCSE (2003)
Georgios C. Anagnostopoulos, Michael Georgiopoulos
Putting the Utility of Match Tracking in Fuzzy ARTMAP Training to the Test. KES (2003)
Georgios C. Anagnostopoulos, Michael Georgiopoulos
Category regions as new geometrical concepts in Fuzzy-ART and Fuzzy-ARTMAP. Neural Networks 15 (10) (2002)
Takis Kasparis, Dimitrios Charalampidis, Michael Georgiopoulos, Jannick P. Rolland
Segmentation of textured images based on fractals and image filtering. Pattern Recognit. 34 (10) (2001)
Amy E. Henninger, Avelino J. Gonzalez, Michael Georgiopoulos, Ronald F. DeMara
A Connectionist-Symbolic Approach to Modeling Agent Behavior: Neural Networks Grouped by Contexts. CONTEXT (2001)
Anna Koufakou, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Takis Kasparis
Cross-validation in Fuzzy ARTMAP for large databases. Neural Networks 14 (9) (2001)
Dimitrios Charalampidis, Takis Kasparis, Michael Georgiopoulos
Classification of noisy signals using fuzzy ARTMAP neural networks. IEEE Trans. Neural Networks 12 (5) (2001)

Michael Georgiopoulos.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Michael Georgiopoulos