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

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

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

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

A branch-and-bound algorithm for the early/tardy machine scheduling problem with a common due-date and sequence-dependent setup time. - Ghaith Rabadi; Mansooreh Mollaghasemi; Georgios C. Anagnostopoulos (Comput. Oper. Res., 2004)

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

On the design of an ellipsoid ARTMAP classifier within the fuzzy adaptive system ART framework. - Ross Peralta; Georgios C. Anagnostopoulos; Eduardo Gómez-Sánchez; Samuel Richie (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)

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)

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)

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)

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)

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)

Multiclass Cancer Classification Using Semisupervised Ellipsoid ARTMAP and Particle Swarm Optimization with Gene Expression Data. - Rui Xu 001; Georgios C. Anagnostopoulos; Donald C. Wunsch (IEEE ACM Trans. Comput. Biol. Bioinform., 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)

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

An Open Source Framework for Real-Time, Incremental, Static and Dynamic Hand Gesture Learning and Recognition. - Todd C. Alexander; Hassan S. Ahmed; Georgios C. Anagnostopoulos (HCI (2), 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)

Multi-objective memetic evolution of ART-based classifiers. - Rong Li; Timothy R. Mersch; Oriana X. Wen; Assem Kaylani; Georgios C. Anagnostopoulos (IEEE Congress on Evolutionary Computation, 2010)

Metric representations of data via the Kernel-based Sammon Mapping. - Mingbo Ma; Ryan Gonet; RuiZhi Yu; Georgios C. Anagnostopoulos (IJCNN, 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)

Multinomial Squared Direction Cosines Regression. - Naveed Iqbal; Georgios C. Anagnostopoulos (IJCNN, 2011)

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

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

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)

Derivative free optimization using a population-based stochastic gradient estimator. - Azhar Khayrattee; Georgios C. Anagnostopoulos (GECCO, 2014)

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)

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)

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

Local Rademacher Complexity-based Learning Guarantees for Multi-Task Learning. - Niloofar Yousefi 001; Yunwen Lei; Marius Kloft; Mansooreh Mollaghasemi; Georgios C. Anagnostopoulos (J. Mach. Learn. Res., 2018)

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

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)

Deep Agent: Studying the Dynamics of Information Spread and Evolution in Social Networks. - Ivan Garibay; Toktam A. Oghaz; Niloofar Yousefi 001; Ece C. Mutlu; Madeline Schiappa; Steven R. Scheinert; Georgios C. Anagnostopoulos; Christina Bouwens; Stephen M. Fiore; Alexander V. Mantzaris; John T. Murphy; William Rand; et al. (CoRR, 2020)

Influence Dynamics Among Narratives - A Case Study of the Venezuelan Presidential Crisis. - Akshay Aravamudan; Xi Zhang 021; Jihye Song; Stephen M. Fiore; Georgios C. Anagnostopoulos (SBP-BRiMS, 2021)

Environmental Sound Classification with Tiny Transformers in Noisy Edge Environments. - Steven Wyatt; David Elliott; Akshay Aravamudan; Carlos E. Otero; Luis Daniel Otero; Georgios C. Anagnostopoulos; Anthony O. Smith; Adrian M. Peter; Wesley Jones; Steven Leung; Eric Lam (WF-IoT, 2021)

Anytime Information Cascade Popularity Prediction via Self-Exciting Processes. - Xi Zhang 021; Akshay Aravamudan; Georgios C. Anagnostopoulos (ICML, 2022)

Anytime User Engagement Prediction in Information Cascades for Arbitrary Observation Periods. - Akshay Aravamudan; Xi Zhang 021; Georgios C. Anagnostopoulos (AAAI, 2023)

A Generalized Time Rescaling Theorem for Temporal Point Processes. - Xi Zhang; Akshay Aravamudan; Georgios C. Anagnostopoulos (Neural Comput., 2025)

Data-driven Super-Resolution of Flood Inundation Maps using Synthetic Simulations. - Akshay Aravamudan; Zimeena Rasheed; Xi Zhang; Kira E. Scarpignato; Efthymios I. Nikolopoulos; Witold F. Krajewski; Georgios C. Anagnostopoulos (CoRR, 2025)