Michael Georgiopoulos
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
52
Venues
14
Active years
1995–2021
Best venue rank
A*
Where they publish
Papers
52 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2021 | ITiCSE | The Impact of Technical Interviews, and other Professional and Cultural Experiences on Students' Computing Identity. | Stephanie Lunn, Monique Ross, Zahra Hazari, Mark Allen Weiss, Michael Georgiopoulos, Kenneth J. Christensen |
| 2020 | ACSSC | Non-linear Manifold Clustering based on Conformity Index. | Mahlagha Sedghi, George K. Atia, Michael Georgiopoulos |
| 2020 | FIE | Understanding the Experiences that Contribute to the Inclusion of Underrepresented Groups in Computing. | Maral Kargarmoakhar, Stephanie Lunn, Leila Zahedi, Monique Ross, Zahra Hazari, Mark Allen Weiss, Michael Georgiopoulos, Kenneth J. Christensen, Tiana Solis |
| 2018 | ACSSC | Kernel Coherence Pursuit: A Manifold Learning-based Outlier Detection Technique. | Mahlagha Sedghi, George K. Atia, Michael Georgiopoulos |
| 2018 | FIE | A Structural Equation Model Analysis of Computing Identity Sub-Constructs and Student Academic Persistence. | Mohsen Taheri, Monique Ross, Zahra Hazari, Mark Allen Weiss, Michael Georgiopoulos, Ken Christensen, Tiana Solis, Atalie Garcia, Deepa Chari |
| 2018 | ICTAI | Multi-Label Learning Via Codewords. | Mahlagha Sedghi, Yinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos |
| 2017 | ICTAI | Sparse Inductive Embedding: An Explorative Data Visualization Technique. | Mahlagha Sedghi, Michael Georgiopoulos, Georgios C. Anagnostopoulos |
| 2015 | GECCO | SPRINT Multi-Objective Model Racing. | Tiantian Zhang, Michael Georgiopoulos, Georgios C. Anagnostopoulos |
| 2014 | GECCO | Online model racing based on extreme performance. | Tiantian Zhang, Michael Georgiopoulos, Georgios C. Anagnostopoulos |
| 2013 | GECCO | S-Race: a multi-objective racing algorithm. | Tiantian Zhang, Michael Georgiopoulos, Georgios C. Anagnostopoulos |
| 2013 | IJCNN | Kernel-based distance metric learning in the output space. | Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos |
| 2012 | FIE | 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. | Lisa Massi, Patrice Lancey, Uday Nair, Rachel Straney, Michael Georgiopoulos, Cynthia Young |
| 2012 | GECCO | A winner-take-all methodology: finding the best evolutionary algorithm for the global optimization of functions. | Tiantian Zhang, Giselle Borrero, Michael Georgiopoulos |
| 2011 | IJCNN | Accelerated learning of Generalized Sammon Mappings. | Yinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos |
| 2011 | IJCNN | Kernel principal subspace Mahalanobis distances for outlier detection. | Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos |
| 2011 | IJCNN | Multi-objective evolutionary optimization of exemplar-based classifiers: A PNN test case. | Talitha Rubio, Tiantian Zhang, Michael Georgiopoulos, Assem Kaylani |
| 2010 | FlAIRS | Imitating Personalized Expressions in an Avatar through Machine Learning. | Cassondra Puklavage, Alexander R. Pirela, Avelino J. Gonzalez, Michael Georgiopoulos |
| 2010 | IDA | Similarity Kernels for Nearest Neighbor-Based Outlier Detection. | Ruben Ramirez-Padron, David Foregger, Julie Manuel, Michael Georgiopoulos, Boris Mederos |
| 2009 | IJCNN | An efficient active set method for SVM training without singular inner problems. | Christopher Sentelle, Georgios C. Anagnostopoulos, Michael Georgiopoulos |
| 2008 | CEC | MO-GART: Multiobjective genetic ART architectures. | Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos |
| 2008 | CEC | Efficient evolution of ART neural networks. | Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos |
| 2008 | FlAIRS | A Backward Adjusting Strategy and Optimization of the C4.5 Parameters to Improve C4.5's Performance. | Jason R. Beck, Maria Garcia, Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos |
| 2008 | ICPR | A fast revised simplex method for SVM training. | Christopher Sentelle, Georgios C. Anagnostopoulos, Michael Georgiopoulos |
| 2008 | ICPR | Properties of the k-norm pruning algorithm for decision tree classifiers. | Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos |
| 2008 | IJCNN | Fast parallel outlier detection for categorical datasets using MapReduce. | Anna Koufakou, Jimmy Secretan, John Reeder, Kelvin Cardona, Michael Georgiopoulos |
| 2007 | IJCNN | Analyzing the Fuzzy ARTMAP Matchtracking mechanism with Co-Objective Optimization Theory. | Jos Castro, Michael Georgiopoulos, Jimmy Secretan |
| 2007 | IJCNN | Genetic Optimization of ART Neural Network Architectures. | Assem Kaylani, Ahmad A. Al-Daraiseh, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Annie S. Wu |
| 2007 | IJCNN | A Privacy Preserving Probabilistic Neural Network for Horizontally Partitioned Databases. | Jimmy Secretan, Michael Georgiopoulos, Jos Castro |
| 2007 | IJCNN | On Extending the SMO Algorithm Sub-Problem. | Christopher Sentelle, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Cynthia Young |
| 2007 | ICTAI | A Scalable and Efficient Outlier Detection Strategy for Categorical Data. | Anna Koufakou, Enrique G. Ortiz, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Kenneth M. Reynolds |
| 2006 | FlAIRS | GFAM: Evolving Fuzzy ARTMAP Neural Networks. | Ahmad A. Al-Daraiseh, Michael Georgiopoulos, Annie S. Wu, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi |
| 2006 | FlAIRS | Generalized Entropy for Splitting on Numerical Attributes in Decision Trees. | Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi |
| 2006 | IJCNN | Methods for Parallelizing the Probabilistic Neural Network on a Beowulf Cluster Computer. | Jimmy Secretan, Michael Georgiopoulos, Ian Maidhof, Philip Shibly, Joshua Hecker |
| 2006 | IJCNN | Gap-Based Estimation: Choosing the Smoothing Parameters for Probabilistic and General Regression Neural Networks. | Mingyu Zhong, Dave Coggeshall, Ehsan Ghaneie, Thomas Pope, Mark Rivera, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi, Samuel Richie |
| 2006 | IJCNN | Experiments with Safe ARTMAP and Comparisons to Other ART Networks. | Mingyu Zhong, Bryan Rosander, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi, Samuel Richie |
| 2006 | ISI | A Dictionary-Based Approach to Fast and Accurate Name Matching in Large Law Enforcement Databases. | Olcay Kursun, Anna Koufakou, Bing Chen, Michael Georgiopoulos, Kenneth M. Reynolds, Ronald Eaglin |
| 2005 | IJCNN | An experimental comparison of semi-supervised ARTMAP architectures, GCS and GNG classifiers. | Quang Le, Georgios C. Anagnostopoulos, Michael Georgiopoulos, Ken Ports |
| 2005 | IJCNN | Parallelizing the fuzzy ARTMAP algorithm on a Beowulf cluster. | Jimmy Secretan, Jos Castro, Michael Georgiopoulos, Joe Tapia, Amit Chadha, Brian Huber, Georgios C. Anagnostopoulos, Samuel Richie |
| 2004 | FlAIRS | A Partitioned Fuzzy ARTMAP Implementation for Fast Processing of Large Databases on Sequential Machines. | Jos Castro, Michael Georgiopoulos, Ronald F. DeMara, Avelino J. Gonzalez |
| 2004 | IJCNN | A data partitioning approach to speed up the fuzzy ARTMAP algorithm using the Hilbert space-filling curve. | Jos Castro, Michael Georgiopoulos, Ronald F. DeMara |
| 2004 | WSC | Educating Middle and High School Students in Space Operations: The Simulation Approach. | Mansooreh Mollaghasemi, Michael Georgiopoulos, Anne Donnelly, Dayana Cope, Martin J. Steele |
| 2003 | FlAIRS | Experimental Comparisons of Semi-Supervised and Supervised ART Classifiers (Invited Talk). | Michael Georgiopoulos, Georgios C. Anagnostopoulos, Madan Bharadwaj |
| 2003 | IJCNN | Exemplar-based pattern recognition via semi-supervised learning. | Gregorios C. Anagnostopoulos, Madan Bharadwaj, Michael Georgiopoulos, Stephen J. Verzi, Gregory L. Heileman |
| 2003 | IJCNN | Universal approximation with Fuzzy ART and Fuzzy ARTMAP. | Stephen J. Verzi, Gregory L. Heileman, Michael Georgiopoulos, Georgios C. Anagnostopoulos |
| 2003 | ITiCSE | CRCD in machine learning at the University of Central Florida preliminary experiences. | Michael Georgiopoulos, Jos Castro, Annie S. Wu, Ronald F. DeMara, Erol Gelenbe, Avelino J. Gonzalez, Marcella K. Kysilka, Mansooreh Mollaghasemi |
| 2003 | KES | Putting the Utility of Match Tracking in Fuzzy ARTMAP Training to the Test. | Georgios C. Anagnostopoulos, Michael Georgiopoulos |
| 2000 | IJCNN | Hypersphere ART and ARTMAP for Unsupervised and Supervised, Incremental Learning. | Georgios C. Anagnostopoulos, Michael Georgiopoulos |
| 2000 | IJCNN | Classification of Noisy Signals Using Fuzzy ARTMAP Neural Networks. | Dimitrios Charalampidis, Michael Georgiopoulos, Takis Kasparis |
| 2000 | IJCNN | Hierarchical ARTMAP. | Stephen J. Verzi, Gregory L. Heileman, Michael Georgiopoulos, Michael J. Healy |
| 1998 | ICCV | Using Algebraic Functions of Views for Indexing-Based Object Recognition. | George Bebis, Michael Georgiopoulos, Mubarak Shah, Niels da Vitoria Lobo |
| 1996 | ICPR | Learning affine transformations of the plane for model-based object recognition. | George Bebis, Michael Georgiopoulos, Niels da Vitoria Lobo, Mubarak Shah |
| 1995 | ICCV | Learning Geometric Hashing Functions for Model-Based Object Recognition. | George Bebis, Michael Georgiopoulos, Niels da Vitoria Lobo |