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Michael Georgiopoulos
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2020 – today
- 2024
- [j58]Maral Kargarmoakhar
, Monique Ross
The Impact of a Community of Practice Scholarship Program on Students' Computing Identity. ACM Trans. Comput. Educ. 24(1): 8:1-8:14 (2024) - 2022
- [j57]Stephanie Lunn
How Do Educational Experiences Predict Computing Identity? ACM Trans. Comput. Educ. 22(2): 12:1-12:28 (2022) - [j56]Mahlagha Sedghi, Michael Georgiopoulos, George K. Atia:
Sketches by MoSSaRT: Representative selection from manifolds with gross sparse corruptions. Pattern Recognit. 124: 108454 (2022) - [j55]Mahlagha Sedghi
A Multi-Criteria Approach for Fast and Robust Representative Selection from Manifolds. IEEE Trans. Knowl. Data Eng. 34(7): 3057-3071 (2022) - 2021
- [c65]Stephanie Lunn
The Impact of Technical Interviews, and other Professional and Cultural Experiences on Students' Computing Identity. ITiCSE (1) 2021: 415-421 - 2020
- [c64]Mahlagha Sedghi, George K. Atia, Michael Georgiopoulos:
Non-linear Manifold Clustering based on Conformity Index. ACSSC 2020: 607-611 - [c63]Maral Kargarmoakhar, Stephanie Lunn
Understanding the Experiences that Contribute to the Inclusion of Underrepresented Groups in Computing. FIE 2020: 1-9 - [i11]Mahlagha Sedghi, George K. Atia, Michael Georgiopoulos:
A Multi-criteria Approach for Fast and Outlier-aware Representative Selection from Manifolds. CoRR abs/2003.05989 (2020)
2010 – 2019
- 2019
- [j54]Mahlagha Sedghi
Robust Manifold Learning via Conformity Pursuit. IEEE Signal Process. Lett. 26(3): 425-429 (2019) - [c62]Mahlagha Sedghi, George K. Atia, Michael Georgiopoulos:
Low-Dimensional Decomposition of Manifolds in Presence of Outliers. MLSP 2019: 1-6 - [i10]Yinjie Huang, Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Reduced-Rank Local Distance Metric Learning for k-NN Classification. CoRR abs/1902.08313 (2019) - [i9]Yinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Learning Hash Function through Codewords. CoRR abs/1902.08639 (2019) - 2018
- [j53]Tiantian Zhang
Pareto-Optimal Model Selection via SPRINT-Race. IEEE Trans. Cybern. 48(2): 596-610 (2018) - [c61]Mahlagha Sedghi, George K. Atia, Michael Georgiopoulos:
Kernel Coherence Pursuit: A Manifold Learning-based Outlier Detection Technique. ACSSC 2018: 2017-2021 - [c60]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: 1-7 - [c59]Mahlagha Sedghi, Yinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Multi-Label Learning Via Codewords. ICTAI 2018: 221-228 - 2017
- [c58]Mahlagha Sedghi, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Sparse Inductive Embedding: An Explorative Data Visualization Technique. ICTAI 2017: 618-622 - [i8]Niloofar Yousefi, Cong Li, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Michael Georgiopoulos:
Multi-Task Learning Using Neighborhood Kernels. CoRR abs/1707.03426 (2017) - 2016
- [j52]Tiantian Zhang, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Multi-Objective Model Selection via Racing. IEEE Trans. Cybern. 46(8): 1863-1876 (2016) - [j51]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): 709-722 (2016) - 2015
- [j50]Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Pareto-Path Multitask Multiple Kernel Learning. IEEE Trans. Neural Networks Learn. Syst. 26(1): 51-61 (2015) - [j49]Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Multitask Classification Hypothesis Space With Improved Generalization Bounds. IEEE Trans. Neural Networks Learn. Syst. 26(7): 1468-1479 (2015) - [c57]Tiantian Zhang, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
SPRINT Multi-Objective Model Racing. GECCO 2015: 1383-1390 - [c56]Niloofar Yousefi, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Multi-Task Learning with Group-Specific Feature Space Sharing. ECML/PKDD (2) 2015: 120-136 - [c55]Yinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Hash Function Learning via Codewords. ECML/PKDD (1) 2015: 659-674 - [i7]Yinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Hash Function Learning via Codewords. CoRR abs/1508.03285 (2015) - [i6]Niloofar Yousefi, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Multi-Task Learning with Group-Specific Feature Space Sharing. CoRR abs/1508.03329 (2015) - 2014
- [j48]John Reeder, Michael Georgiopoulos:
Generative Neural Networks for Multi-task Life-Long Learning. Comput. J. 57(3): 427-450 (2014) - [j47]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): 1287-1297 (2014) - [c54]Tiantian Zhang, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Online model racing based on extreme performance. GECCO 2014: 1351-1358 - [c53]Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Conic Multi-task Classification. ECML/PKDD (2) 2014: 193-208 - [i5]Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
A Unifying Framework for Typical Multi-Task Multiple Kernel Learning Problems. CoRR abs/1401.5136 (2014) - [i4]Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Pareto-Path Multi-Task Multiple Kernel Learning. CoRR abs/1404.3190 (2014) - [i3]Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Conic Multi-Task Classification. CoRR abs/1408.4714 (2014) - 2013
- [c52]Tiantian Zhang, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
S-Race: a multi-objective racing algorithm. GECCO 2013: 1565-1572 - [c51]Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Kernel-based distance metric learning in the output space. IJCNN 2013: 1-8 - [c50]Yinjie Huang, Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Reduced-Rank Local Distance Metric Learning. ECML/PKDD (3) 2013: 224-239 - [i2]Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Output-Space Distance Metric Learning for k-NN Classification. CoRR abs/1312.2578 (2013) - [i1]Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Multi-Task Classification Hypothesis Space with Improved Generalization Bounds. CoRR abs/1312.2606 (2013) - 2012
- [j46]Jean-Philippe Thivierge, Ali A. Minai
A year of neural network research: Special Issue on the 2011 International Joint Conference on Neural Networks. Neural Networks 32: 1-2 (2012) - [c49]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: 1-6 - [c48]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: 1515-1516 - 2011
- [j45]Anna Koufakou
Non-derivable itemsets for fast outlier detection in large high-dimensional categorical data. Knowl. Inf. Syst. 29(3): 697-725 (2011) - [j44]Michael Georgiopoulos, Cong Li, Taskin Koçak:
Learning in the feed-forward random neural network: A critical review. Perform. Evaluation 68(4): 361-384 (2011) - [j43]Christopher Sentelle, Georgios C. Anagnostopoulos
Efficient Revised Simplex Method for SVM Training. IEEE Trans. Neural Networks 22(10): 1650-1661 (2011) - [c47]Talitha Rubio, Tiantian Zhang, Michael Georgiopoulos, Assem Kaylani:
Multi-objective evolutionary optimization of exemplar-based classifiers: A PNN test case. IJCNN 2011: 1722-1731 - [c46]Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Kernel principal subspace Mahalanobis distances for outlier detection. IJCNN 2011: 2528-2535 - [c45]Yinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Accelerated learning of Generalized Sammon Mappings. IJCNN 2011: 2952-2960 - 2010
- [j42]Anna Koufakou
A fast outlier detection strategy for distributed high-dimensional data sets with mixed attributes. Data Min. Knowl. Discov. 20(2): 259-289 (2010) - [j41]Jimmy Secretan, Michael Georgiopoulos, Anna Koufakou
APHID: An architecture for private, high-performance integrated data mining. Future Gener. Comput. Syst. 26(7): 891-904 (2010) - [j40]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): 529-550 (2010) - [c44]Cassondra Puklavage, Alexander R. Pirela, Avelino J. Gonzalez, Michael Georgiopoulos:
Imitating Personalized Expressions in an Avatar through Machine Learning. FLAIRS 2010 - [c43]Ruben Ramirez-Padron, David Foregger, Julie Manuel, Michael Georgiopoulos, Boris Mederos
Similarity Kernels for Nearest Neighbor-Based Outlier Detection. IDA 2010: 159-170 - [c42]Michael Georgiopoulos, Cong Li, Taskin Koçak:
Learning in the feed-forward Random Neural Network: A Critical Review. ISCIS 2010: 155-160
2000 – 2009
- 2009
- [j39]Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos:
AG-ART: An adaptive approach to evolving ART architectures. Neurocomputing 72(10-12): 2079-2092 (2009) - [j38]Michael Georgiopoulos, Ronald F. DeMara
A Sustainable Model for Integrating Current Topics in Machine Learning Research Into the Undergraduate Curriculum. IEEE Trans. Educ. 52(4): 503-512 (2009) - [c41]Jimmy Secretan, Anna Koufakou, Michael Georgiopoulos:
APHID: A Practical Architecture for High-Performance, Privacy-Preserving Data Mining. DMIN 2009: 410-416 - [c40]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: 505-511 - [c39]Christopher Sentelle, Georgios C. Anagnostopoulos, Michael Georgiopoulos:
An efficient active set method for SVM training without singular inner problems. IJCNN 2009: 2875-2882 - 2008
- [j37]Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
A k -norm pruning algorithm for decision tree classifiers based on error rate estimation. Mach. Learn. 71(1): 55-88 (2008) - [c38]John Reeder, Gita Sukthankar, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Intelligent Trading Agents for Massively Multi-player Game Economies. AIIDE 2008 - [c37]Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos:
MO-GART: Multiobjective genetic ART architectures. IEEE Congress on Evolutionary Computation 2008: 1425-1432 - [c36]Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos:
Efficient evolution of ART neural networks. IEEE Congress on Evolutionary Computation 2008: 3456-3463 - [c35]John Reeder, Roberto Miguez, Jessica Sparks, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Interactively evolved modular neural networks for game agent control. CIG 2008: 167-174 - [c34]Anna Koufakou, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Detecting Outliers in High-Dimensional Datasets with Mixed Attributes. DMIN 2008: 427-433 - [c33]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 2008: 35-40 - [c32]Christopher Sentelle, Georgios C. Anagnostopoulos, Michael Georgiopoulos:
A fast revised simplex method for SVM training. ICPR 2008: 1-4 - [c31]Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Properties of the k-norm pruning algorithm for decision tree classifiers. ICPR 2008: 1-4 - [c30]Anna Koufakou
Fast parallel outlier detection for categorical datasets using MapReduce. IJCNN 2008: 3298-3304 - [p2]Olcay Kursun
Name Matching in Law Enforcement Database. Intelligence and Security Informatics 2008: 151-172 - [e1]Niels da Vitoria Lobo, Takis Kasparis, Fabio Roli, James Tin-Yau Kwok, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Marco Loog:
Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshop, SSPR & SPR 2008, Orlando, USA, December 4-6, 2008. Proceedings. Lecture Notes in Computer Science 5342, Springer 2008, ISBN 978-3-540-89688-3 [contents] - 2007
- [j36]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): 2840-2864 (2007) - [j35]José Castro, Jimmy Secretan, Michael Georgiopoulos, Ronald F. DeMara
Pipelining of Fuzzy ARTMAP without matchtracking: Correctness, performance bound, and Beowulf evaluation. Neural Networks 20(1): 109-128 (2007) - [j34]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): 245-259 (2007) - [j33]Ahmad A. Al-Daraiseh
GFAM: Evolving Fuzzy ARTMAP neural networks. Neural Networks 20(8): 874-892 (2007) - [c29]Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Experiments with an innovative tree pruning algorithm. Artificial Intelligence and Applications 2007: 385-390 - [c28]Anna Koufakou
A Scalable and Efficient Outlier Detection Strategy for Categorical Data. ICTAI (2) 2007: 210-217 - [c27]Assem Kaylani, Ahmad A. Al-Daraiseh
Genetic Optimization of ART Neural Network Architectures. IJCNN 2007: 379-384 - [c26]José Castro, Michael Georgiopoulos, Jimmy Secretan:
Analyzing the Fuzzy ARTMAP Matchtracking mechanism with Co-Objective Optimization Theory. IJCNN 2007: 743-748 - [c25]Christopher Sentelle, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Cynthia Young:
On Extending the SMO Algorithm Sub-Problem. IJCNN 2007: 886-891 - [c24]Jimmy Secretan, Michael Georgiopoulos, José Castro:
A Privacy Preserving Probabilistic Neural Network for Horizontally Partitioned Databases. IJCNN 2007: 1554-1559 - [p1]Ahmad A. Al-Daraiseh
Genetically Engineered ART Architectures. Computational Intelligence Based on Lattice Theory 2007: 233-262 - 2006
- [j32]Olcay Kursun
Answer: approximate Name Search with Errors in Large Databases by a Novel Approach Based on Prefix-dictionary. Int. J. Artif. Intell. Tools 15(5): 839-848 (2006) - [j31]Stephen J. Verzi
Boosted ARTMAP: Modifications to fuzzy ARTMAP motivated by boosting theory. Neural Networks 19(4): 446-468 (2006) - [j30]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): 128-140 (2006) - [c23]Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi:
Generalized Entropy for Splitting on Numerical Attributes in Decision Trees. FLAIRS 2006: 604-609 - [c22]Ahmad A. Al-Daraiseh, Michael Georgiopoulos, Annie S. Wu, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi:
GFAM: Evolving Fuzzy ARTMAP Neural Networks. FLAIRS 2006: 694-699 - [c21]Ahmad A. Al-Daraiseh
GFAM: A Genetic Algorithm Optimization of Fuzzy ARTMAP. FUZZ-IEEE 2006: 315-322 - [c20]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: 720-727 - [c19]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: 1870-1877 - [c18]Jimmy Secretan, Michael Georgiopoulos, Ian Maidhof, Philip Shibly, Joshua Hecker:
Methods for Parallelizing the Probabilistic Neural Network on a Beowulf Cluster Computer. IJCNN 2006: 2378-2385 - [c17]Olcay Kursun
A Dictionary-Based Approach to Fast and Accurate Name Matching in Large Law Enforcement Databases. ISI 2006: 72-82 - 2005
- [j29]José Castro, Michael Georgiopoulos, Ronald F. DeMara
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): 967-984 (2005) - 2004
- [c16]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 2004: 623-628 - [c15]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: 2075-2080 - 2003
- [c14]Michael Georgiopoulos, Georgios C. Anagnostopoulos, Madan Bharadwaj:
Experimental Comparisons of Semi-Supervised and Supervised ART Classifiers (Invited Talk). FLAIRS 2003: 433 - [c13]Michael Georgiopoulos, José Castro, Annie S. Wu, Ronald F. DeMara
CRCD in machine learning at the University of Central Florida preliminary experiences. ITiCSE 2003: 249 - [c12]Georgios C. Anagnostopoulos, Michael Georgiopoulos:
Putting the Utility of Match Tracking in Fuzzy ARTMAP Training to the Test. KES 2003: 1-6 - 2002
- [j28]Georgios C. Anagnostopoulos, Michael Georgiopoulos:
Category regions as new geometrical concepts in Fuzzy-ART and Fuzzy-ARTMAP. Neural Networks 15(10): 1205-1221 (2002) - 2001
- [j27]Anna Koufakou
Cross-validation in Fuzzy ARTMAP for large databases. Neural Networks 14(9): 1279-1291 (2001) - [j26]Takis Kasparis
Segmentation of textured images based on fractals and image filtering. Pattern Recognit. 34(10): 1963-1973 (2001) - [j25]Dimitrios Charalampidis, Takis Kasparis
Classification of noisy signals using fuzzy ARTMAP neural networks. IEEE Trans. Neural Networks 12(5): 1023-1036 (2001) - [c11]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: 198-209 - 2000
- [j24]George Bebis, Satish Uthiram, Michael Georgiopoulos:
Face Detection and Verification Using Genetic Search. Int. J. Artif. Intell. Tools 9(2): 225-246 (2000) - [c10]Stephen J. Verzi
Hierarchical ARTMAP. IJCNN (6) 2000: 41-46 - [c9]Dimitrios Charalampidis, Michael Georgiopoulos, Takis Kasparis:
Classification of Noisy Signals Using Fuzzy ARTMAP Neural Networks. IJCNN (6) 2000: 53-58 - [c8]Georgios C. Anagnostopoulos, Michael Georgiopoulos:
Hypersphere ART and ARTMAP for Unsupervised and Supervised, Incremental Learning. IJCNN (6) 2000: 59-66 - [c7]Dimitrios Charalampidis, Georgios C. Anagnostopoulos, Takis Kasparis, Michael Georgiopoulos:
Classification of noisy patterns using ARTMAP-based neural networks. Visual Information Processing 2000: 2-13
1990 – 1999
- 1999
- [j23]Michael Georgiopoulos, Issam Dagher, Gregory L. Heileman, George Bebis:
Properties of learning of a Fuzzy ART Variant. Neural Networks 12(6): 837-850 (1999) - [j22]George Bebis, Michael Georgiopoulos, Niels da Vitoria Lobo, Mubarak Shah
Learning affine transformations. Pattern Recognit. 32(10): 1783-1799 (1999) - [j21]Issam Dagher, Michael Georgiopoulos, Gregory L. Heileman, George Bebis:
An ordering algorithm for pattern presentation in fuzzy ARTMAP that tends to improve generalization performance. IEEE Trans. Neural Networks 10(4): 768-778 (1999) - 1998
- [j20]George Bebis, Michael Georgiopoulos, Mubarak Shah
Indexing Based on Algebraic Functions of Views. Comput. Vis. Image Underst. 72(3): 360-378 (1998) - [j19]Mansooreh Mollaghasemi, Kenneth LeCroy, Michael Georgiopoulos:
Application of Neural Networks and Simulation Modeling in Manufacturing System Design. Interfaces 28(5): 100-114 (1998) - [j18]George Bebis, Michael Georgiopoulos, Niels da Vitoria Lobo:
Using self-organizing maps to learn geometric hash functions for model-based object recognition. IEEE Trans. Neural Networks 9(3): 560-570 (1998) - [c6]George Bebis, Michael Georgiopoulos, Mubarak Shah, Niels da Vitoria Lobo:
Using Algebraic Functions of Views for Indexing-Based Object Recognition. ICCV 1998: 634-639 - 1997
- [j17]George Bebis, Michael Georgiopoulos, Takis Kasparis
Coupling weight elimination with genetic algorithms to reduce network size and preserve generalization. Neurocomputing 17(3-4): 167-194 (1997) - [c5]Gregory L. Heileman, Michael Georgiopoulos, Michael J. Healy, Stephen J. Verzi
The generalization capabilities of ARTMAP. ICNN 1997: 1068-1071 - [c4]Michael Georgiopoulos, Issam Dagher, Gregory L. Heileman, George Bebis:
Properties of learning of a fuzzy ART variant. ICNN 1997: 2012-2016 - 1996
- [j16]Michael Georgiopoulos, Hans Fernlund, George Bebis, Gregory L. Heileman:
Order of Search in Fuzzy ART and Fuzzy ARTMAP: Effect of the Choice Parameter. Neural Networks 9(9): 1541-1559 (1996) - [j15]Ching S. Ho, Juin J. Liou, Michael Georgiopoulos, Christos G. Christodoulou:
A Mixed Analog/Digital VLSI Design and Simulation of An Adaptive Resonance Theory (ART) Neural Network Architecture. Simul. 66(1): 31-39 (1996) - [c3]George Bebis, Michael Georgiopoulos, Takis Kasparis:
Coupling weight elimination and genetic algorithms. ICNN 1996: 1115-1120 - [c2]George Bebis, Michael Georgiopoulos, Niels da Vitoria Lobo, Mubarak Shah
Learning affine transformations of the plane for model-based object recognition. ICPR 1996: 60-64 - 1995
- [j14]Takis Kasparis, Michael Georgiopoulos, Qurban A. Memon:
Direct-sequence Spread-Spectrum with Transform Domain Interference Suppression. J. Circuits Syst. Comput. 5(2): 167-180 (1995) - [j13]Juxin Huang, Michael Georgiopoulos, Gregory L. Heileman:
Fuzzy ART properties. Neural Networks 8(2): 203-213 (1995) - [c1]George Bebis, Michael Georgiopoulos, Niels da Vitoria Lobo:
Learning Geometric Hashing Functions for Model-Based Object Recognition. ICCV 1995: 543-548 - 1994
- [j12]Michael Georgiopoulos, Juxin Huang, Gregory L. Heileman:
Properties of learning in ARTMAP. Neural Networks 7(3): 495-506 (1994) - [j11]Gregory L. Heileman, Michael Georgiopoulos, Chaouki T. Abdallah
A dynamical adaptive resonance architecture. IEEE Trans. Neural Networks 5(6): 873-889 (1994) - 1992
- [j10]Michael Georgiopoulos, Gregory L. Heileman, Juxin Huang:
The N-N-N conjecture in ART1. Neural Networks 5(5): 745-753 (1992) - [j9]Gregory L. Heileman, Michael Georgiopoulos, William D. Roome:
A General Framework for Concurrent Simulation of Neural Network Models. IEEE Trans. Software Eng. 18(7): 551-562 (1992) - 1991
- [j8]Michael Georgiopoulos, Gregory L. Heileman, Juxin Huang:
Properties of learning related to pattern diversity in ART1. Neural Networks 4(6): 751-757 (1991) - [j7]Michael Georgiopoulos:
Correction to 'Packet error probabilities in frequency hopped spread-spectrum packet radio networks-memoryless frequency hopping patterns considered'. IEEE Trans. Commun. 39(3): 362-364 (1991) - 1990
- [j6]Gregory L. Heileman, George M. Papadourakis, Michael Georgiopoulos:
A Neural Net Associative Memory for Real-Time Applications. Neural Comput. 2(1): 107-115 (1990) - [j5]Michael Georgiopoulos, Gregory L. Heileman, Juxin Huang:
Convergence Properties of Learning in ART1. Neural Comput. 2(4): 502-509 (1990) - [j4]Michael Georgiopoulos:
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. 38(9): 1321-1324 (1990) - [j3]Michael Georgiopoulos:
Packet error probabilities in direct-sequence spread-spectrum packet radio networks. IEEE Trans. Commun. 38(9): 1599-1606 (1990)
1980 – 1989
- 1988
- [j2]Michael Georgiopoulos:
Packet error probabilities in frequency-hopped spread-spectrum packet radio networks-memoryless frequency-hopping patterns considered. IEEE Trans. Commun. 36(6): 720-723 (1988) - 1985
- [j1]Michael Georgiopoulos, P. Papantoni-Kazakos:
Collision Resolution Protocols Utilizing Absorptions and Collision Multiplicities. IEEE Trans. Commun. 33(7): 721-724 (1985)
Coauthor Index
[i10] [i9] [j53] [c59] [c58] [i8] [j52] [j51] [j50] [j49] [c57] [c56] [c55] [i7] [i6] [j47] [c54] [c53] [i5] [i4] [i3] [c52] [c51] [c50] [i2] [i1] [j43] [c46] [c45] [j40] [j39] [c40] [c39] [j37] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [e1] [j36] [j35] [j34] [j33] [c29] [c28] [c27] [c25] [p1] [c23] [c22] [c21] [c20] [c19] [c14] [c12] [j28] [j27] [c8] [c7]
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last updated on 2024-05-08 20:59 CEST by the dblp team
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