Collision Resolution Protocols Utilizing Absorptions and Collision Multiplicities. - Michael Georgiopoulos; P. Papantoni-Kazakos (IEEE Trans. Commun., 1985)

Packet error probabilities in frequency-hopped spread-spectrum packet radio networks-memoryless frequency-hopping patterns considered. - Michael Georgiopoulos (IEEE Trans. Commun., 1988)

Convergence Properties of Learning in ART1. - Michael Georgiopoulos; Gregory L. Heileman; Juxin Huang (Neural Comput., 1990)

A Neural Net Associative Memory for Real-Time Applications. - Gregory L. Heileman; George M. Papadourakis; Michael Georgiopoulos (Neural Comput., 1990)

On the error probability of coded frequency-hopped spread-spectrum multiple-access systems with more than one code symbol per dwell interval. - Michael Georgiopoulos (IEEE Trans. Commun., 1990)

Packet error probabilities in direct-sequence spread-spectrum packet radio networks. - Michael Georgiopoulos (IEEE Trans. Commun., 1990)

Properties of learning related to pattern diversity in ART1. - Michael Georgiopoulos; Gregory L. Heileman; Juxin Huang (Neural Networks, 1991)

Correction to 'Packet error probabilities in frequency hopped spread-spectrum packet radio networks-memoryless frequency hopping patterns considered'. - Michael Georgiopoulos (IEEE Trans. Commun., 1991)

The N-N-N conjecture in ART1. - Michael Georgiopoulos; Gregory L. Heileman; Juxin Huang (Neural Networks, 1992)

A General Framework for Concurrent Simulation of Neural Network Models. - Gregory L. Heileman; Michael Georgiopoulos; William D. Roome (IEEE Trans. Software Eng., 1992)

Properties of learning in ARTMAP. - Michael Georgiopoulos; Juxin Huang; Gregory L. Heileman (Neural Networks, 1994)

A dynamical adaptive resonance architecture. - Gregory L. Heileman; Michael Georgiopoulos; Chaouki T. Abdallah (IEEE Trans. Neural Networks, 1994)

Learning Geometric Hashing Functions for Model-Based Object Recognition. - George Bebis; Michael Georgiopoulos; Niels da Vitoria Lobo (ICCV, 1995)

Direct-sequence Spread-Spectrum with Transform Domain Interference Suppression. - Takis Kasparis; Michael Georgiopoulos; Qurban A. Memon (J. Circuits Syst. Comput., 1995)

Fuzzy ART properties. - Juxin Huang; Michael Georgiopoulos; Gregory L. Heileman (Neural Networks, 1995)

Coupling weight elimination and genetic algorithms. - George Bebis; Michael Georgiopoulos; Takis Kasparis (ICNN, 1996)

Learning affine transformations of the plane for model-based object recognition. - George Bebis; Michael Georgiopoulos; Niels da Vitoria Lobo; Mubarak Shah (ICPR, 1996)

Order of Search in Fuzzy ART and Fuzzy ARTMAP: Effect of the Choice Parameter. - Michael Georgiopoulos; Hans Fernlund; George Bebis; Gregory L. Heileman (Neural Networks, 1996)

A Mixed Analog/Digital VLSI Design and Simulation of An Adaptive Resonance Theory (ART) Neural Network Architecture. - Ching S. Ho; Juin J. Liou; Michael Georgiopoulos; Christos G. Christodoulou (Simul., 1996)

The generalization capabilities of ARTMAP. - Gregory L. Heileman; Michael Georgiopoulos; Michael J. Healy; Stephen J. Verzi (ICNN, 1997)

Coupling weight elimination with genetic algorithms to reduce network size and preserve generalization. - George Bebis; Michael Georgiopoulos; Takis Kasparis (Neurocomputing, 1997)

Using Algebraic Functions of Views for Indexing-Based Object Recognition. - George Bebis; Michael Georgiopoulos; Mubarak Shah; Niels da Vitoria Lobo (ICCV, 1998)

Indexing Based on Algebraic Functions of Views. - George Bebis; Michael Georgiopoulos; Mubarak Shah; Niels da Vitoria Lobo (Comput. Vis. Image Underst., 1998)

Application of Neural Networks and Simulation Modeling in Manufacturing System Design. - Mansooreh Mollaghasemi; Kenneth LeCroy; Michael Georgiopoulos (Interfaces, 1998)

Using self-organizing maps to learn geometric hash functions for model-based object recognition. - George Bebis; Michael Georgiopoulos; Niels da Vitoria Lobo (IEEE Trans. Neural Networks, 1998)

Properties of learning of a Fuzzy ART Variant. - Michael Georgiopoulos; Issam Dagher; Gregory L. Heileman; George Bebis (Neural Networks, 1999)

Learning affine transformations. - George Bebis; Michael Georgiopoulos; Niels da Vitoria Lobo; Mubarak Shah (Pattern Recognit., 1999)

An ordering algorithm for pattern presentation in fuzzy ARTMAP that tends to improve generalization performance. - Issam Dagher; Michael Georgiopoulos; Gregory L. Heileman; George Bebis (IEEE Trans. Neural Networks, 1999)

Hypersphere ART and ARTMAP for Unsupervised and Supervised, Incremental Learning. - Georgios C. Anagnostopoulos; Michael Georgiopoulos (IJCNN (6), 2000)

Hierarchical ARTMAP. - Stephen J. Verzi; Gregory L. Heileman; Michael Georgiopoulos; Michael J. Healy (IJCNN (6), 2000)

Classification of noisy patterns using ARTMAP-based neural networks. - Dimitrios Charalampidis; Georgios C. Anagnostopoulos; Takis Kasparis; Michael Georgiopoulos (Visual Information Processing, 2000)

Face Detection and Verification Using Genetic Search. - George Bebis; Satish Uthiram; Michael Georgiopoulos (Int. J. Artif. Intell. Tools, 2000)

A Connectionist-Symbolic Approach to Modeling Agent Behavior: Neural Networks Grouped by Contexts. - Amy E. Henninger; Avelino J. Gonzalez; Michael Georgiopoulos; Ronald F. DeMara (CONTEXT, 2001)

Cross-validation in Fuzzy ARTMAP for large databases. - Anna Koufakou; Michael Georgiopoulos; Georgios C. Anagnostopoulos; Takis Kasparis (Neural Networks, 2001)

Segmentation of textured images based on fractals and image filtering. - Takis Kasparis; Dimitrios Charalampidis; Michael Georgiopoulos; Jannick P. Rolland (Pattern Recognit., 2001)

Classification of noisy signals using fuzzy ARTMAP neural networks. - Dimitrios Charalampidis; Takis Kasparis; Michael Georgiopoulos (IEEE Trans. Neural Networks, 2001)

Category regions as new geometrical concepts in Fuzzy-ART and Fuzzy-ARTMAP. - Georgios C. Anagnostopoulos; Michael Georgiopoulos (Neural Networks, 2002)

Experimental Comparisons of Semi-Supervised and Supervised ART Classifiers (Invited Talk). - Michael Georgiopoulos; Georgios C. Anagnostopoulos; Madan Bharadwaj (FLAIRS, 2003)

Exemplar-based pattern recognition via semi-supervised learning. - Gregorios C. Anagnostopoulos; Madan Bharadwaj; Michael Georgiopoulos; Stephen J. Verzi; Gregory L. Heileman (IJCNN, 2003)

Universal approximation with Fuzzy ART and Fuzzy ARTMAP. - Stephen J. Verzi; Gregory L. Heileman; Michael Georgiopoulos; Georgios C. Anagnostopoulos (IJCNN, 2003)

CRCD in machine learning at the University of Central Florida preliminary experiences. - Michael Georgiopoulos; José Castro; Annie S. Wu; Ronald F. DeMara; Erol Gelenbe; Avelino J. Gonzalez; Marcella K. Kysilka; Mansooreh Mollaghasemi (ITiCSE, 2003)

Putting the Utility of Match Tracking in Fuzzy ARTMAP Training to the Test. - Georgios C. Anagnostopoulos; Michael Georgiopoulos (KES, 2003)

Condensing the CC-2001 core in an integrated curriculum. - Ingrid Russell; Michael Georgiopoulos; José Castro; Todd W. Neller; Daniel D. McCracken; Laurie King 001; Dennis J. Bouvier (J. Comput. Sci. Coll., 2003)

A Partitioned Fuzzy ARTMAP Implementation for Fast Processing of Large Databases on Sequential Machines. - José Castro; Michael Georgiopoulos; Ronald F. DeMara; Avelino J. Gonzalez (FLAIRS, 2004)

A data partitioning approach to speed up the fuzzy ARTMAP algorithm using the Hilbert space-filling curve. - José Castro; Michael Georgiopoulos; Ronald F. DeMara (IJCNN, 2004)

Educating Middle and High School Students in Space Operations: The Simulation Approach. - Mansooreh Mollaghasemi; Michael Georgiopoulos; Anne Donnelly; Dayana Cope; Martin J. Steele (WSC, 2004)

An experimental comparison of semi-supervised ARTMAP architectures, GCS and GNG classifiers. - Quang Le; Georgios C. Anagnostopoulos; Michael Georgiopoulos; Ken Ports (IJCNN, 2005)

Parallelizing the fuzzy ARTMAP algorithm on a Beowulf cluster. - Jimmy Secretan; José Castro; Michael Georgiopoulos; Joe Tapia; Amit Chadha; Brian Huber; Georgios C. Anagnostopoulos; Samuel Richie (IJCNN, 2005)

Data-partitioning using the Hilbert space filling curves: Effect on the speed of convergence of Fuzzy ARTMAP for large database problems. - José Castro; Michael Georgiopoulos; Ronald F. DeMara; Avelino J. Gonzalez (Neural Networks, 2005)

GFAM: Evolving Fuzzy ARTMAP Neural Networks. - Ahmad A. Al-Daraiseh; Michael Georgiopoulos; Annie S. Wu; Georgios C. Anagnostopoulos; Mansooreh Mollaghasemi (FLAIRS, 2006)

Generalized Entropy for Splitting on Numerical Attributes in Decision Trees. - Mingyu Zhong; Michael Georgiopoulos; Georgios C. Anagnostopoulos; Mansooreh Mollaghasemi (FLAIRS, 2006)

GFAM: A Genetic Algorithm Optimization of Fuzzy ARTMAP. - Ahmad A. Al-Daraiseh; Michael Georgiopoulos; Georgios C. Anagnostopoulos; Annie S. Wu; Mansooreh Mollaghasemi (FUZZ-IEEE, 2006)

Methods for Parallelizing the Probabilistic Neural Network on a Beowulf Cluster Computer. - Jimmy Secretan; Michael Georgiopoulos; Ian Maidhof; Philip Shibly; Joshua Hecker (IJCNN, 2006)

Experiments with Safe ARTMAP and Comparisons to Other ART Networks. - Mingyu Zhong; Bryan Rosander; Michael Georgiopoulos; Georgios C. Anagnostopoulos; Mansooreh Mollaghasemi; Samuel Richie (IJCNN, 2006)

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 (ISI, 2006)

Answer: approximate Name Search with Errors in Large Databases by a Novel Approach Based on Prefix-dictionary. - Olcay Kursun; Anna Koufakou; Abhijit Wakchaure; Michael Georgiopoulos; Kenneth M. Reynolds; Ronald Eaglin (Int. J. Artif. Intell. Tools, 2006)

Boosted ARTMAP: Modifications to fuzzy ARTMAP motivated by boosting theory. - Stephen J. Verzi; Gregory L. Heileman; Michael Georgiopoulos (Neural Networks, 2006)

Learning tactical human behavior through observation of human performance. - H. K. G. Fernlund; Avelino J. Gonzalez; Michael Georgiopoulos; Ronald F. DeMara (IEEE Trans. Syst. Man Cybern. Part B, 2006)

Experiments with an innovative tree pruning algorithm. - Mingyu Zhong; Michael Georgiopoulos; Georgios C. Anagnostopoulos (Artificial Intelligence and Applications, 2007)

A Scalable and Efficient Outlier Detection Strategy for Categorical Data. - Anna Koufakou; Enrique G. Ortiz; Michael Georgiopoulos; Georgios C. Anagnostopoulos; Kenneth M. Reynolds (ICTAI (2), 2007)

Analyzing the Fuzzy ARTMAP Matchtracking mechanism with Co-Objective Optimization Theory. - José Castro; Michael Georgiopoulos; Jimmy Secretan (IJCNN, 2007)

Genetic Optimization of ART Neural Network Architectures. - Assem Kaylani; Ahmad A. Al-Daraiseh; Michael Georgiopoulos; Mansooreh Mollaghasemi; Georgios C. Anagnostopoulos; Annie S. Wu (IJCNN, 2007)

A Privacy Preserving Probabilistic Neural Network for Horizontally Partitioned Databases. - Jimmy Secretan; Michael Georgiopoulos; José Castro (IJCNN, 2007)

On Extending the SMO Algorithm Sub-Problem. - Christopher Sentelle; Michael Georgiopoulos; Georgios C. Anagnostopoulos; Cynthia Young (IJCNN, 2007)

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 (Neural Comput., 2007)

GFAM: Evolving Fuzzy ARTMAP neural networks. - Ahmad A. Al-Daraiseh; Assem Kaylani; Michael Georgiopoulos; Mansooreh Mollaghasemi; Annie S. Wu; Georgios C. Anagnostopoulos (Neural Networks, 2007)

Pipelining of Fuzzy ARTMAP without matchtracking: Correctness, performance bound, and Beowulf evaluation. - José Castro; Jimmy Secretan; Michael Georgiopoulos; Ronald F. DeMara; Georgios C. Anagnostopoulos; Avelino J. Gonzalez (Neural Networks, 2007)

Experiments with Safe muARTMAP : Effect of the network parameters on the network performance. - Mingyu Zhong; Bryan Rosander; Michael Georgiopoulos; Georgios C. Anagnostopoulos; Mansooreh Mollaghasemi; Samuel Richie (Neural Networks, 2007)

Genetically Engineered ART Architectures. - Ahmad A. Al-Daraiseh; Assem Kaylani; Michael Georgiopoulos; Mansooreh Mollaghasemi; Annie S. Wu; Georgios C. Anagnostopoulos (Computational Intelligence Based on Lattice Theory, 2007)

Intelligent Trading Agents for Massively Multi-player Game Economies. - John Reeder; Gita Sukthankar; Michael Georgiopoulos; Georgios C. Anagnostopoulos (AIIDE, 2008)

MO-GART: Multiobjective genetic ART architectures. - Assem Kaylani; Michael Georgiopoulos; Mansooreh Mollaghasemi; Georgios C. Anagnostopoulos (IEEE Congress on Evolutionary Computation, 2008)

Efficient evolution of ART neural networks. - Assem Kaylani; Michael Georgiopoulos; Mansooreh Mollaghasemi; Georgios C. Anagnostopoulos (IEEE Congress on Evolutionary Computation, 2008)

Interactively evolved modular neural networks for game agent control. - John Reeder; Roberto Miguez; Jessica Sparks; Michael Georgiopoulos; Georgios C. Anagnostopoulos (CIG, 2008)

Detecting Outliers in High-Dimensional Datasets with Mixed Attributes. - Anna Koufakou; Michael Georgiopoulos; Georgios C. Anagnostopoulos (DMIN, 2008)

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 (FLAIRS, 2008)

A fast revised simplex method for SVM training. - Christopher Sentelle; Georgios C. Anagnostopoulos; Michael Georgiopoulos (ICPR, 2008)

Properties of the k-norm pruning algorithm for decision tree classifiers. - Mingyu Zhong; Michael Georgiopoulos; Georgios C. Anagnostopoulos (ICPR, 2008)

Fast parallel outlier detection for categorical datasets using MapReduce. - Anna Koufakou; Jimmy Secretan; John Reeder; Kelvin Cardona; Michael Georgiopoulos (IJCNN, 2008)

A k -norm pruning algorithm for decision tree classifiers based on error rate estimation. - Mingyu Zhong; Michael Georgiopoulos; Georgios C. Anagnostopoulos (Mach. Learn., 2008)

Name Matching in Law Enforcement Database. - Olcay Kursun; Michael Georgiopoulos; Kenneth M. Reynolds (Intelligence and Security Informatics, 2008)

Outlier Detection for Large High-Dimensional Categorical Data using Non-Derivable and Non-Almost-Derivable Sets. - Anna Koufakou; Jimmy Secretan; Michelle Fox; Gary Gramajo; Georgios C. Anagnostopoulos; Michael Georgiopoulos (DMIN, 2009)

APHID: A Practical Architecture for High-Performance, Privacy-Preserving Data Mining. - Jimmy Secretan; Anna Koufakou; Michael Georgiopoulos (DMIN, 2009)

An efficient active set method for SVM training without singular inner problems. - Christopher Sentelle; Georgios C. Anagnostopoulos; Michael Georgiopoulos (IJCNN, 2009)

AG-ART: An adaptive approach to evolving ART architectures. - Assem Kaylani; Michael Georgiopoulos; Mansooreh Mollaghasemi; Georgios C. Anagnostopoulos (Neurocomputing, 2009)

A Sustainable Model for Integrating Current Topics in Machine Learning Research Into the Undergraduate Curriculum. - 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 (IEEE Trans. Educ., 2009)

Imitating Personalized Expressions in an Avatar through Machine Learning. - Cassondra Puklavage; Alexander R. Pirela; Avelino J. Gonzalez; Michael Georgiopoulos (FLAIRS, 2010)

Similarity Kernels for Nearest Neighbor-Based Outlier Detection. - Ruben Ramirez-Padron; David Foregger; Julie Manuel; Michael Georgiopoulos; Boris Mederos (IDA, 2010)

A fast outlier detection strategy for distributed high-dimensional data sets with mixed attributes. - Anna Koufakou; Michael Georgiopoulos (Data Min. Knowl. Discov., 2010)

APHID: An architecture for private, high-performance integrated data mining. - Jimmy Secretan; Michael Georgiopoulos; Anna Koufakou; Kelvin Cardona (Future Gener. Comput. Syst., 2010)

An adaptive multiobjective approach to evolving ART architectures. - Assem Kaylani; Michael Georgiopoulos; Mansooreh Mollaghasemi; Georgios C. Anagnostopoulos; Christopher Sentelle; Mingyu Zhong (IEEE Trans. Neural Networks, 2010)

Accelerated learning of Generalized Sammon Mappings. - Yinjie Huang; Michael Georgiopoulos; Georgios C. Anagnostopoulos (IJCNN, 2011)

Kernel principal subspace Mahalanobis distances for outlier detection. - Cong Li; Michael Georgiopoulos; Georgios C. Anagnostopoulos (IJCNN, 2011)

Multi-objective evolutionary optimization of exemplar-based classifiers: A PNN test case. - Talitha Rubio; Tiantian Zhang; Michael Georgiopoulos; Assem Kaylani (IJCNN, 2011)

Non-derivable itemsets for fast outlier detection in large high-dimensional categorical data. - Anna Koufakou; Jimmy Secretan; Michael Georgiopoulos (Knowl. Inf. Syst., 2011)

Learning in the feed-forward random neural network: A critical review. - Michael Georgiopoulos; Cong Li; Taskin Koçak (Perform. Evaluation, 2011)

Efficient Revised Simplex Method for SVM Training. - Christopher Sentelle; Georgios C. Anagnostopoulos; Michael Georgiopoulos (IEEE Trans. Neural Networks, 2011)

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 (FIE, 2012)

A winner-take-all methodology: finding the best evolutionary algorithm for the global optimization of functions. - Tiantian Zhang; Giselle Borrero; Michael Georgiopoulos (GECCO (Companion), 2012)

A year of neural network research: Special Issue on the 2011 International Joint Conference on Neural Networks. - Jean-Philippe Thivierge; Ali A. Minai; Hava T. Siegelmann; Cesare Alippi; Michael Georgiopoulos (Neural Networks, 2012)

S-Race: a multi-objective racing algorithm. - Tiantian Zhang; Michael Georgiopoulos; Georgios C. Anagnostopoulos (GECCO, 2013)

Kernel-based distance metric learning in the output space. - Cong Li; Michael Georgiopoulos; Georgios C. Anagnostopoulos (IJCNN, 2013)

Reduced-Rank Local Distance Metric Learning. - Yinjie Huang; Cong Li; Michael Georgiopoulos; Georgios C. Anagnostopoulos (ECML/PKDD (3), 2013)

Output-Space Distance Metric Learning for k-NN Classification. - Cong Li; Michael Georgiopoulos; Georgios C. Anagnostopoulos (CoRR, 2013)

Multi-Task Classification Hypothesis Space with Improved Generalization Bounds. - Cong Li; Michael Georgiopoulos; Georgios C. Anagnostopoulos (CoRR, 2013)

Online model racing based on extreme performance. - Tiantian Zhang; Michael Georgiopoulos; Georgios C. Anagnostopoulos (GECCO, 2014)

Conic Multi-task Classification. - Cong Li; Michael Georgiopoulos; Georgios C. Anagnostopoulos (ECML/PKDD (2), 2014)

Generative Neural Networks for Multi-task Life-Long Learning. - John Reeder; Michael Georgiopoulos (Comput. J., 2014)

A Unifying Framework for Typical Multi-Task Multiple Kernel Learning Problems. - Cong Li; Michael Georgiopoulos; Georgios C. Anagnostopoulos (CoRR, 2014)

Pareto-Path Multi-Task Multiple Kernel Learning. - Cong Li; Michael Georgiopoulos; Georgios C. Anagnostopoulos (CoRR, 2014)

A Unifying Framework for Typical Multitask Multiple Kernel Learning Problems. - Cong Li; Michael Georgiopoulos; Georgios C. Anagnostopoulos (IEEE Trans. Neural Networks Learn. Syst., 2014)

SPRINT Multi-Objective Model Racing. - Tiantian Zhang; Michael Georgiopoulos; Georgios C. Anagnostopoulos (GECCO, 2015)

Hash Function Learning via Codewords. - Yinjie Huang; Michael Georgiopoulos; Georgios C. Anagnostopoulos (ECML/PKDD (1), 2015)

Multi-Task Learning with Group-Specific Feature Space Sharing. - Niloofar Yousefi 001; Michael Georgiopoulos; Georgios C. Anagnostopoulos (ECML/PKDD (2), 2015)

Pareto-Path Multitask Multiple Kernel Learning. - Cong Li; Michael Georgiopoulos; Georgios C. Anagnostopoulos (IEEE Trans. Neural Networks Learn. Syst., 2015)

Multitask Classification Hypothesis Space With Improved Generalization Bounds. - Cong Li; Michael Georgiopoulos; Georgios C. Anagnostopoulos (IEEE Trans. Neural Networks Learn. Syst., 2015)

Multi-Objective Model Selection via Racing. - Tiantian Zhang; Michael Georgiopoulos; Georgios C. Anagnostopoulos (IEEE Trans. Cybern., 2016)

A Simple Method for Solving the SVM Regularization Path for Semidefinite Kernels. - Christopher Sentelle; Georgios C. Anagnostopoulos; Michael Georgiopoulos (IEEE Trans. Neural Networks Learn. Syst., 2016)

Sparse Inductive Embedding: An Explorative Data Visualization Technique. - Mahlagha Sedghi; Michael Georgiopoulos; Georgios C. Anagnostopoulos (ICTAI, 2017)

Multi-Task Learning Using Neighborhood Kernels. - Niloofar Yousefi 001; Cong Li; Mansooreh Mollaghasemi; Georgios C. Anagnostopoulos; Michael Georgiopoulos (CoRR, 2017)

Kernel Coherence Pursuit: A Manifold Learning-based Outlier Detection Technique. - Mahlagha Sedghi; George K. Atia; Michael Georgiopoulos (ACSSC, 2018)

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 001; Tiana Solis; Atalie Garcia; Deepa Chari (FIE, 2018)

Multi-Label Learning Via Codewords. - Mahlagha Sedghi; Yinjie Huang; Michael Georgiopoulos; Georgios C. Anagnostopoulos (ICTAI, 2018)

Pareto-Optimal Model Selection via SPRINT-Race. - Tiantian Zhang; Michael Georgiopoulos; Georgios C. Anagnostopoulos (IEEE Trans. Cybern., 2018)

Low-Dimensional Decomposition of Manifolds in Presence of Outliers. - Mahlagha Sedghi; George K. Atia; Michael Georgiopoulos (MLSP, 2019)

Reduced-Rank Local Distance Metric Learning for k-NN Classification. - Yinjie Huang; Cong Li; Michael Georgiopoulos; Georgios C. Anagnostopoulos (CoRR, 2019)

Learning Hash Function through Codewords. - Yinjie Huang; Michael Georgiopoulos; Georgios C. Anagnostopoulos (CoRR, 2019)

Robust Manifold Learning via Conformity Pursuit. - Mahlagha Sedghi; George K. Atia; Michael Georgiopoulos (IEEE Signal Process. Lett., 2019)

Non-linear Manifold Clustering based on Conformity Index. - Mahlagha Sedghi; George K. Atia; Michael Georgiopoulos (ACSSC, 2020)

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 (FIE, 2020)

A Multi-criteria Approach for Fast and Outlier-aware Representative Selection from Manifolds. - Mahlagha Sedghi; George K. Atia; Michael Georgiopoulos (CoRR, 2020)

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 (ITiCSE (1), 2021)

How Do Educational Experiences Predict Computing Identity? - Stephanie Lunn; Monique Ross; Zahra Hazari; Mark Allen Weiss; Michael Georgiopoulos; Ken Christensen 001 (ACM Trans. Comput. Educ., 2022)

Sketches by MoSSaRT: Representative selection from manifolds with gross sparse corruptions. - Mahlagha Sedghi; Michael Georgiopoulos; George K. Atia (Pattern Recognit., 2022)

A Multi-Criteria Approach for Fast and Robust Representative Selection from Manifolds. - Mahlagha Sedghi; Michael Georgiopoulos; George K. Atia (IEEE Trans. Knowl. Data Eng., 2022)

The Impact of a Community of Practice Scholarship Program on Students' Computing Identity. - Maral Kargarmoakhar; Monique Ross; Zahra Hazari; Stephen Secules; Mark Allen Weiss; Michael Georgiopoulos; Kenneth J. Christensen; Tiana Solis (ACM Trans. Comput. Educ., 2024)