Georgios C. Anagnostopoulos

发表

Multi-Task Learning Using Neighborhood Kernels pdf

Mansooreh Mollaghasemi, Niloofar Yousefi, Cong Li, 2017, ArXiv.

Reduced-Rank Local Distance Metric Learning

Cong Li, Georgios C. Anagnostopoulos, Michael Georgiopoulos, 2013, ECML/PKDD.

MO-GART: Multiobjective genetic ART architectures

Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Michael Georgiopoulos, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Gap-Based Estimation: Choosing the Smoothing Parameters for Probabilistic and General Regression Neural Networks

Mark Rivera, Samuel Richie, Mansooreh Mollaghasemi, 2006, Neural Computation.

On Extending the SMO Algorithm Sub-Problem

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Cynthia Young, 2007, 2007 International Joint Conference on Neural Networks.

m-GFAM:: An elegant approach to genetically optimize Fuzzy ARTMAP Neural Network Architectures

Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Michael Georgiopoulos, 2007 .

Deep Agent: Studying the Dynamics of Information Spread and Evolution in Social Networks pdf

Gita Reese Sukthankar, Alexander V. Mantzaris, William Rand, 2020, ArXiv.

Ensembles of hybrid intelligent experts: extending the power of optimal linear combiners

Georgios C. Anagnostopoulos, Michael Georgiopoulos, David M. Nickerson, 1997, 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation.

Hash Function Learning via Codewords pdf

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Yinjie Huang, 2015, ECML/PKDD.

Output-Space Distance Metric Learning for k-NN Classification pdf

Cong Li, Georgios C. Anagnostopoulos, Michael Georgiopoulos, 2013, ArXiv.

A Proximal Algorithm for Estimating the Regularized Wavelet-Based Density-Difference

Georgios C. Anagnostopoulos, Nenad Mijatovic, Rana Haber, 2019, 2019 International Conference on Computational Science and Computational Intelligence (CSCI).

Hypersphere ART and ARTMAP for unsupervised and supervised, incremental learning

Georgios C. Anagnostopoulos, Michael Georgiopoulos, M. Georgiopoulos, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Efficient Revised Simplex Method for SVM Training

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Christopher Sentelle, 2011, IEEE Transactions on Neural Networks.

Ellipsoid ART and ARTMAP for incremental unsupervised and supervised learning

Georgios C. Anagnostopoulos, Michael Georgiopoulos, M. Georgiopoulos, 2001, SPIE Defense + Commercial Sensing.

A heuristic algorithm for the just-in-time single machine scheduling problem with setups: a comparison with simulated annealing

Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Ghaith Rabadi, 2007 .

Interactively evolved modular neural networks for game agent control

Georgios C. Anagnostopoulos, Michael Georgiopoulos, John Reeder, 2008, 2008 IEEE Symposium On Computational Intelligence and Games.

Local Rademacher Complexity-based Learning Guarantees for Multi-Task Learning pdf

Mansooreh Mollaghasemi, Marius Kloft, Niloofar Yousefi, 2016, J. Mach. Learn. Res..

Experiments with Safe ARTMAP and Comparisons to Other ART Networks

Samuel Richie, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

A Backward Adjusting Strategy and Optimization of the C4.5 Parameters to Improve C4.5's Performance

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Mingyu Zhong, 2008, FLAIRS Conference.

Efficient evolution of ART neural networks

Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Michael Georgiopoulos, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Cross-validation in fuzzy ARTMAP neural networks for large sample classification problems

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Takis Kasparis, 2001, SPIE Defense + Commercial Sensing.

Genetically Engineered ART Architectures

Mansooreh Mollaghasemi, Annie S. Wu, Georgios C. Anagnostopoulos, 2007, Computational Intelligence Based on Lattice Theory.

Accelerated learning of Generalized Sammon Mappings

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Yinjie Huang, 2011, The 2011 International Joint Conference on Neural Networks.

GFAM: Evolving Fuzzy ARTMAP Neural Networks

Mansooreh Mollaghasemi, Annie S. Wu, Georgios C. Anagnostopoulos, 2007, FLAIRS.

S-Race: a multi-objective racing algorithm

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Tiantian Zhang, 2013, GECCO '13.

A Unifying Framework for Typical Multitask Multiple Kernel Learning Problems

Cong Li, Georgios C. Anagnostopoulos, Michael Georgiopoulos, 2014, IEEE Transactions on Neural Networks and Learning Systems.

Multinomial Squared Direction Cosines Regression

Georgios C. Anagnostopoulos, Naveed Iqbal, Naveed H. Iqbal, 2011, The 2011 International Joint Conference on Neural Networks.

A fast revised simplex method for SVM training

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Christopher Sentelle, 2008, 2008 19th International Conference on Pattern Recognition.

Assessing And Evaluating Our Crcd Experiences At The University Of Central Florida: An Nsf Project

Annie S. Wu, Avelino J. Gonzalez, Ingrid Russell, 2006 .

Experimental Comparisons of Semi-Supervised

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Madan Bharadwaj, 2003 .

Intelligent Trading Agents for Massively Multi-player Game Economies

Gita Reese Sukthankar, Georgios C. Anagnostopoulos, Michael Georgiopoulos, 2008, AIIDE.

Reduced-Rank Local Distance Metric Learning pdf

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Yinjie Huang, 2013, ECML/PKDD.

Gap-Based Estimation: Choosing the Smoothing Parameters for Probabilistic and General Regression Neural Networks

Mark Rivera, Samuel Richie, Mansooreh Mollaghasemi, 2006, IJCNN.

Fuzzy ART and Fuzzy ARTMAP with adaptively weighted distances

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Dimitrios Charalampidis, 2002, SPIE Defense + Commercial Sensing.

Sparse Inductive Embedding: An Explorative Data Visualization Technique

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Mahlagha Sedghi, 2017, 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI).

Cross-validation in Fuzzy ARTMAP for large databases

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Takis Kasparis, 2001, Neural Networks.

A Scalable and Efficient Outlier Detection Strategy for Categorical Data

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Anna Koufakou, 2007, 19th IEEE International Conference on Tools with Artificial Intelligence(ICTAI 2007).

Exemplar-based pattern recognition via semi-supervised learning

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Gregory L. Heileman, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

SPRINT Multi-Objective Model Racing

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Tiantian Zhang, 2015, GECCO.

Kernel principal subspace Mahalanobis distances for outlier detection

Cong Li, Georgios C. Anagnostopoulos, Michael Georgiopoulos, 2011, The 2011 International Joint Conference on Neural Networks.

An Open Source Framework for Real-Time, Incremental, Static and Dynamic Hand Gesture Learning and Recognition

Georgios C. Anagnostopoulos, Todd C. Alexander, Hassan S. Ahmed, 2009, HCI.

Properties of the k-norm pruning algorithm for decision tree classifiers

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Mingyu Zhong, 2008, 2008 19th International Conference on Pattern Recognition.

Detecting Outliers in High-Dimensional Datasets with Mixed Attributes

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Anna Koufakou, 2008, DMIN.

Learning Hash Function through Codewords pdf

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Yinjie Huang, 2019, ArXiv.

An Adaptive Multiobjective Approach to Evolving

Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Michael Georgiopoulos, 2010 .

Tissue classification through analysis of gene expression data using a new family of ART architectures

Georgios C. Anagnostopoulos, Donald C. Wunsch, Rui Xu, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Boosted ellipsoid ARTMAP

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Gregory L. Heileman, 2002, SPIE Defense + Commercial Sensing.

Knowledge-Based Intelligent Information and Engineering Systems

Georgios C. Anagnostopoulos, Michael Georgiopoulos, M. Georgiopoulos, 2003, Lecture Notes in Computer Science.

An efficient active set method for SVM training without singular inner problems

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Christopher Sentelle, 2009, 2009 International Joint Conference on Neural Networks.

Experiments with Safe muARTMAP : Effect of the network parameters on the network performance

Samuel Richie, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, 2007, Neural Networks.

2006-1990: ENGAGING UNDERGRADUATE STUDENTS IN MACHINE LEARNING RESEARCH: PROGRESS, EXPERIENCES AND ACHIEVEMENTS OF PROJECT EMD-MLR

Annie S. Wu, Georgios C. Anagnostopoulos, Michael Georgiopoulos, 2006 .

Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition

Fabio Roli, Georgios C. Anagnostopoulos, Michael Georgiopoulos, 2002 .

Universal approximation with Fuzzy ART and Fuzzy ARTMAP

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Stephen J. Verzi, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Project EMD-MLR: Educational Material Development and Research in Machine Learning for Undergraduate Students

Annie S. Wu, Georgios C. Anagnostopoulos, Samuel, 2005 .

Overtraining in fuzzy ARTMAP: Myth or reality?

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Takis Kasparis, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Conic Multi-task Classification pdf

Cong Li, Georgios C. Anagnostopoulos, Michael Georgiopoulos, 2014, ECML/PKDD.

Kernel-based distance metric learning in the output space

Cong Li, Georgios C. Anagnostopoulos, Michael Georgiopoulos, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Category regions as new geometrical concepts in Fuzzy-ART and Fuzzy-ARTMAP

Georgios C. Anagnostopoulos, Michael Georgiopoulos, M. Georgiopoulos, 2002, Neural Networks.

Putting the Utility of Match Tracking in Fuzzy ARTMAP Training to the Test

Georgios C. Anagnostopoulos, Michael Georgiopoulos, 2003, KES.

A k-norm pruning algorithm for decision tree classifiers based on error rate estimation

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Mingyu Zhong, 2008, Machine Learning.

Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshop, SSPR & SPR 2008, Orlando, USA, December 4-6, 2008. Proceedings ... Vision, Pattern Recognition, and Graphics)

Fabio Roli, Georgios C. Anagnostopoulos, James T. Kwok, 2008 .

Experiments with an innovative tree pruning algorithm

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Mingyu Zhong, 2007, Artificial Intelligence and Applications.

Pareto-Path Multitask Multiple Kernel Learning

Cong Li, Georgios C. Anagnostopoulos, Michael Georgiopoulos, 2014, IEEE Transactions on Neural Networks and Learning Systems.

Classification of noisy patterns using ARTMAP-based neural networks

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Dimitrios Charalampidis, 2000, SPIE Defense + Commercial Sensing.

AG-ART: An adaptive approach to evolving ART architectures

Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Michael Georgiopoulos, 2009, Neurocomputing.

Pipelining of Fuzzy–ARTMAP (FAM) without Matchtracking (MT)

Avelino J. Gonzalez, Georgios C. Anagnostopoulos, Michael Georgiopoulos, 2006 .

Pareto-Optimal Model Selection via SPRINT-Race

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Tiantian Zhang, 2018, IEEE Transactions on Cybernetics.

Pipelining of Fuzzy ARTMAP without matchtracking: Correctness, performance bound, and Beowulf evaluation

Avelino J. Gonzalez, Georgios C. Anagnostopoulos, Michael Georgiopoulos, 2007, Neural Networks.

Multitask Classification Hypothesis Space With Improved Generalization Bounds

Cong Li, Georgios C. Anagnostopoulos, Michael Georgiopoulos, 2015, IEEE Transactions on Neural Networks and Learning Systems.

A Backward Adjusting Strategy for the C4.5 Decision Tree Classifier

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Mingyu Zhong, 2007 .

Experimental Comparisons of Semi-Supervised and Supervised ART Classifiers (Invited Talk)

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Madan Bharadwaj, 2003, FLAIRS Conference.

A Scalable and Efficient Outlier Detection Strategy for Categorical Data

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Anna Koufakou, 2007 .

Multi-Label Learning Via Codewords

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Yinjie Huang, 2018, 2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI).

Evaluation of Two Modeling Methods for Generating Heavy-Truck Trips at an Intermodal Facility by Using Vessel Freight Data

Haitham Al-Deek, Georgios C. Anagnostopoulos, Jack Klodzinski, 2005 .

Off-line structural risk minimization and BARTMAP-S

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Stephen J. Verzi, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

A branch-and-bound algorithm for the early/tardy machine scheduling problem with a common due-date and sequence-dependent setup time

Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Ghaith Rabadi, 2004, Comput. Oper. Res..

Multiclass Cancer Classification Using Semisupervised Ellipsoid ARTMAP and Particle Swarm Optimization with Gene Expression Data

Georgios C. Anagnostopoulos, Donald C. Wunsch, Rui Xu, 2007, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Novel approaches in adaptive resonance theory for machine learning

Georgios C. Anagnostopoulos, Michael Georgiopoulos, 2001 .

Ellipsoid ART and ARTMAP for incremental clustering and classification

Georgios C. Anagnostopoulos, Michael Georgiopoulos, M. Georgiopoulos, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

A Simple Method for Solving the SVM Regularization Path for Semidefinite Kernels

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Christopher Sentelle, 2016, IEEE Transactions on Neural Networks and Learning Systems.

An Adaptive Multiobjective Approach to Evolving ART Architectures

Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Michael Georgiopoulos, 2010, IEEE Transactions on Neural Networks.

Generalized Entropy for Splitting on Numerical Attributes in Decision Trees

Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Michael Georgiopoulos, 2006, FLAIRS.

Derivative free optimization using a population-based stochastic gradient estimator

Georgios C. Anagnostopoulos, Azhar Khayrattee, G. Anagnostopoulos, 2014, GECCO.

AC 2009-1194: THE AMALTHEA REU PROGRAM: ACTIVITIES, EXPERIENCES & OUTCOMES OF A COLLABORATIVE SUMMER RESEARCH EXPERIENCE IN MACHINE LEARNING

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Veton Kepuska, 2009 .

Pareto-Path Multi-Task Multiple Kernel Learning pdf

Cong Li, Georgios C. Anagnostopoulos, Michael Georgiopoulos, 2014, ArXiv.

Multi-objective memetic evolution of ART-based classifiers

Rong Li, Georgios C. Anagnostopoulos, Assem Kaylani, 2010, IEEE Congress on Evolutionary Computation.

New geometric concepts in fuzzy-ART and fuzzy-ARTMAP: category regions

Georgios C. Anagnostopoulos, Michael Georgiopoulos, M. Georgiopoulos, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Genetic Optimization of ART Neural Network Architectures

Mansooreh Mollaghasemi, Annie S. Wu, Georgios C. Anagnostopoulos, 2007, 2007 International Joint Conference on Neural Networks.

Shape-based recognition of targets in synthetic aperture radar images using elliptical Fourier descriptors

Georgios C. Anagnostopoulos, Louis P. Nicoli, 2008, SPIE Defense + Commercial Sensing.

Multi-Task Learning with Group-Specific Feature Space Sharing

Niloofar Yousefi, Georgios C. Anagnostopoulos, Michael Georgiopoulos, 2015, ECML/PKDD.

Outlier Detection for Large High-Dimensional Categorical Data using Non-Derivable and Non-Almost-Derivable Sets

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Anna Koufakou, 2009, DMIN.

The Amalthea Reu Program: Activities, Experiences, And Outcomes Of A Collaborative Summer Research Experience In Machine Learning

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Veton Kepuska, 2009 .

An analysis of misclassification rates for decision trees

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Mingyu Zhong, 2007 .

Online model racing based on extreme performance

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Tiantian Zhang, 2014, GECCO.

Multi-Objective Model Selection via Racing

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Tiantian Zhang, 2016, IEEE Transactions on Cybernetics.

A simulated annealing algorithm for the unrelated parallel machine scheduling problem

Georgios C. Anagnostopoulos, Ghaith Rabadi, G. Rabadi, 2002, Proceedings of the 5th Biannual World Automation Congress.

Metric representations of data via the Kernel-based Sammon Mapping

Georgios C. Anagnostopoulos, Mingbo Ma, Ryan Gonet, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

New geometrical perspective of fuzzy ART and fuzzy ARTMAP learning

Georgios C. Anagnostopoulos, Michael Georgiopoulos, M. Georgiopoulos, 2001, SPIE Defense + Commercial Sensing.

Elipsoid ART/ARTMAP category regions for the choice-by-difference category choice function

Georgios C. Anagnostopoulos, Michael Georgiopoulos, M. Georgiopoulos, 2002, SPIE Defense + Commercial Sensing.

GFAM: A Genetic Algorithm Optimization of Fuzzy ARTMAP

Mansooreh Mollaghasemi, Annie S. Wu, Georgios C. Anagnostopoulos, 2006, 2006 IEEE International Conference on Fuzzy Systems.

Structural and syntactic pattern recognition (SSPR 2008) and statistical techniques in pattern recognition (SPR 2008)

Georgios C. Anagnostopoulos, Michael Georgiopoulos, 2008, ICPR 2008.

Environmental Sound Classification with Tiny Transformers in Noisy Edge Environments

Georgios C. Anagnostopoulos, Carlos E. Otero, Adrian M. Peter, 2021, 2021 IEEE 7th World Forum on Internet of Things (WF-IoT).

Deep Agent: Studying the Dynamics of Information Spread and Evolution in Social Networks pdf

Gita Reese Sukthankar, Alexander V. Mantzaris, William Rand, 2020, Proceedings of the 2019 International Conference of The Computational Social Science Society of the Americas.

A Scalable and Efficient Outlier Detection Strategy for Categorical Data

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Anna Koufakou, 2007, 19th IEEE International Conference on Tools with Artificial Intelligence(ICTAI 2007).

Reducing generalization error and category proliferation in ellipsoid ARTMAP via tunable misclassification error tolerance: boosted ellipsoid ARTMAP

Georgios C. Anagnostopoulos, Michael Georgiopoulos, Gregory L. Heileman, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

A fuzzy gap statistic for fuzzy C-means

Georgios C. Anagnostopoulos, Michael Georgiopoulos, C. Sentelle, 2007 .

Multi-stage Automatic License Plate Location & Recognition

Georgios C. Anagnostopoulos, G. Anagnostopoulos, Rong Li, 2008 .

A BRANCH-AND-BOUND ALGORITHM FOR PARALLEL MACHINE SCHEDULING PROBLEMS

Georgios C. Anagnostopoulos, Ghaith Rabadi, Ameer Salem, 2000 .

Real-time, Static and Dynamic Hand Gesture Recognition for Human-Computer Interaction

Georgios C. Anagnostopoulos, Todd C. Alexander, S. M. Hassan Ahmed, 2008 .