Georgios C. Anagnostopoulos

According to our database1, Georgios C. Anagnostopoulos authored at least 67 papers between 2000 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Awards

IEEE Fellow

IEEE Fellow 1999, "For contributions to Solid State Imagers and Integrated Circuits for Digital Cameras.".

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Deep Agent: Studying the Dynamics of Information Spread and Evolution in Social Networks.
CoRR, 2020

2019
Learning Hash Function through Codewords.
CoRR, 2019

Reduced-Rank Local Distance Metric Learning for k-NN Classification.
CoRR, 2019

2018
Pareto-Optimal Model Selection via SPRINT-Race.
IEEE Trans. Cybern., 2018

Local Rademacher Complexity-based Learning Guarantees for Multi-Task Learning.
J. Mach. Learn. Res., 2018

Multi-Label Learning Via Codewords.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

2017
Multi-Task Learning Using Neighborhood Kernels.
CoRR, 2017

Sparse Inductive Embedding: An Explorative Data Visualization Technique.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

2016
A Simple Method for Solving the SVM Regularization Path for Semidefinite Kernels.
IEEE Trans. Neural Networks Learn. Syst., 2016

Multi-Objective Model Selection via Racing.
IEEE Trans. Cybern., 2016

2015
Multitask Classification Hypothesis Space With Improved Generalization Bounds.
IEEE Trans. Neural Networks Learn. Syst., 2015

Pareto-Path Multitask Multiple Kernel Learning.
IEEE Trans. Neural Networks Learn. Syst., 2015

Multi-Task Learning with Group-Specific Feature Space Sharing.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Hash Function Learning via Codewords.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

SPRINT Multi-Objective Model Racing.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

2014
A Unifying Framework for Typical Multitask Multiple Kernel Learning Problems.
IEEE Trans. Neural Networks Learn. Syst., 2014

Pareto-Path Multi-Task Multiple Kernel Learning.
CoRR, 2014

A Unifying Framework for Typical Multi-Task Multiple Kernel Learning Problems.
CoRR, 2014

Conic Multi-task Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Online model racing based on extreme performance.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Derivative free optimization using a population-based stochastic gradient estimator.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013
Multi-Task Classification Hypothesis Space with Improved Generalization Bounds.
CoRR, 2013

Output-Space Distance Metric Learning for k-NN Classification.
CoRR, 2013

Reduced-Rank Local Distance Metric Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Kernel-based distance metric learning in the output space.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

S-Race: a multi-objective racing algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2011
Efficient Revised Simplex Method for SVM Training.
IEEE Trans. Neural Networks, 2011

Kernel principal subspace Mahalanobis distances for outlier detection.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Multinomial Squared Direction Cosines Regression.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Accelerated learning of Generalized Sammon Mappings.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
An adaptive multiobjective approach to evolving ART architectures.
IEEE Trans. Neural Networks, 2010

Metric representations of data via the Kernel-based Sammon Mapping.
Proceedings of the International Joint Conference on Neural Networks, 2010

Multi-objective memetic evolution of ART-based classifiers.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
AG-ART: An adaptive approach to evolving ART architectures.
Neurocomputing, 2009

An efficient active set method for SVM training without singular inner problems.
Proceedings of the International Joint Conference on Neural Networks, 2009

An Open Source Framework for Real-Time, Incremental, Static and Dynamic Hand Gesture Learning and Recognition.
Proceedings of the Human-Computer Interaction. Novel Interaction Methods and Techniques, 2009

Outlier Detection for Large High-Dimensional Categorical Data using Non-Derivable and Non-Almost-Derivable Sets.
Proceedings of The 2009 International Conference on Data Mining, 2009

2008
A k -norm pruning algorithm for decision tree classifiers based on error rate estimation.
Mach. Learn., 2008

Properties of the k-norm pruning algorithm for decision tree classifiers.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

A fast revised simplex method for SVM training.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

A Backward Adjusting Strategy and Optimization of the C4.5 Parameters to Improve C4.5's Performance.
Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008

Detecting Outliers in High-Dimensional Datasets with Mixed Attributes.
Proceedings of The 2008 International Conference on Data Mining, 2008

Interactively evolved modular neural networks for game agent control.
Proceedings of the 2008 IEEE Symposium on Computational Intelligence and Games, 2008

Efficient evolution of ART neural networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

MO-GART: Multiobjective genetic ART architectures.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Intelligent Trading Agents for Massively Multi-player Game Economies.
Proceedings of the Fourth Artificial Intelligence and Interactive Digital Entertainment Conference, 2008

2007
Genetically Engineered ART Architectures.
Proceedings of the Computational Intelligence Based on Lattice Theory, 2007

Multiclass Cancer Classification Using Semisupervised Ellipsoid ARTMAP and Particle Swarm Optimization with Gene Expression Data.
IEEE/ACM Trans. Comput. Biology Bioinform., 2007

Experiments with Safe muARTMAP : Effect of the network parameters on the network performance.
Neural Networks, 2007

Pipelining of Fuzzy ARTMAP without matchtracking: Correctness, performance bound, and Beowulf evaluation.
Neural Networks, 2007

GFAM: Evolving Fuzzy ARTMAP neural networks.
Neural Networks, 2007

Gap-Based Estimation: Choosing the Smoothing Parameters for Probabilistic and General Regression Neural Networks.
Neural Computation, 2007

On Extending the SMO Algorithm Sub-Problem.
Proceedings of the International Joint Conference on Neural Networks, 2007

Genetic Optimization of ART Neural Network Architectures.
Proceedings of the International Joint Conference on Neural Networks, 2007

A Scalable and Efficient Outlier Detection Strategy for Categorical Data.
Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007

Experiments with an innovative tree pruning algorithm.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2007

2006
Experiments with Safe ARTMAP and Comparisons to Other ART Networks.
Proceedings of the International Joint Conference on Neural Networks, 2006

GFAM: A Genetic Algorithm Optimization of Fuzzy ARTMAP.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

Generalized Entropy for Splitting on Numerical Attributes in Decision Trees.
Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference, 2006

GFAM: Evolving Fuzzy ARTMAP Neural Networks.
Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference, 2006

2004
A branch-and-bound algorithm for the early/tardy machine scheduling problem with a common due-date and sequence-dependent setup time.
Comput. Oper. Res., 2004

2003
Putting the Utility of Match Tracking in Fuzzy ARTMAP Training to the Test.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

Experimental Comparisons of Semi-Supervised and Supervised ART Classifiers (Invited Talk).
Proceedings of the Sixteenth International Florida Artificial Intelligence Research Society Conference, 2003

2002
Category regions as new geometrical concepts in Fuzzy-ART and Fuzzy-ARTMAP.
Neural Networks, 2002

2001
Cross-validation in Fuzzy ARTMAP for large databases.
Neural Networks, 2001

2000
Classification of noisy patterns using ARTMAP-based neural networks.
Proceedings of the Visual Information Processing IX, Orlando, FL, USA, April 24, 2000, 2000

Hypersphere ART and ARTMAP for Unsupervised and Supervised, Incremental Learning.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000


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