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Georgios C. Anagnostopoulos

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

35

Venues

10

Active years

2000–2023

Best venue rank

A*

Where they publish

Papers

35 indexed papers, newest first.

YearVenueTitleAuthors
2023AAAIAnytime User Engagement Prediction in Information Cascades for Arbitrary Observation Periods.Akshay Aravamudan, Xi Zhang, Georgios C. Anagnostopoulos
2022ICMLAnytime Information Cascade Popularity Prediction via Self-Exciting Processes.Xi Zhang, Akshay Aravamudan, Georgios C. Anagnostopoulos
2018ICTAIMulti-Label Learning Via Codewords.Mahlagha Sedghi, Yinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2017ICTAISparse Inductive Embedding: An Explorative Data Visualization Technique.Mahlagha Sedghi, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2015GECCOSPRINT Multi-Objective Model Racing.Tiantian Zhang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2014GECCODerivative free optimization using a population-based stochastic gradient estimator.Azhar Khayrattee, Georgios C. Anagnostopoulos
2014GECCOOnline model racing based on extreme performance.Tiantian Zhang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2013GECCOS-Race: a multi-objective racing algorithm.Tiantian Zhang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2013IJCNNKernel-based distance metric learning in the output space.Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2011IJCNNAccelerated learning of Generalized Sammon Mappings.Yinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2011IJCNNMultinomial Squared Direction Cosines Regression.Naveed Iqbal, Georgios C. Anagnostopoulos
2011IJCNNKernel principal subspace Mahalanobis distances for outlier detection.Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2010CECMulti-objective memetic evolution of ART-based classifiers.Rong Li, Timothy R. Mersch, Oriana X. Wen, Assem Kaylani, Georgios C. Anagnostopoulos
2010IJCNNMetric representations of data via the Kernel-based Sammon Mapping.Mingbo Ma, Ryan Gonet, RuiZhi Yu, Georgios C. Anagnostopoulos
2009HCIAn Open Source Framework for Real-Time, Incremental, Static and Dynamic Hand Gesture Learning and Recognition.Todd C. Alexander, Hassan S. Ahmed, Georgios C. Anagnostopoulos
2009IJCNNAn efficient active set method for SVM training without singular inner problems.Christopher Sentelle, Georgios C. Anagnostopoulos, Michael Georgiopoulos
2008CECMO-GART: Multiobjective genetic ART architectures.Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos
2008CECEfficient evolution of ART neural networks.Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos
2008FlAIRSA 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
2008ICPRA fast revised simplex method for SVM training.Christopher Sentelle, Georgios C. Anagnostopoulos, Michael Georgiopoulos
2008ICPRProperties of the k-norm pruning algorithm for decision tree classifiers.Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2007IJCNNGenetic Optimization of ART Neural Network Architectures.Assem Kaylani, Ahmad A. Al-Daraiseh, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Annie S. Wu
2007IJCNNOn Extending the SMO Algorithm Sub-Problem.Christopher Sentelle, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Cynthia Young
2007ICTAIA Scalable and Efficient Outlier Detection Strategy for Categorical Data.Anna Koufakou, Enrique G. Ortiz, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Kenneth M. Reynolds
2006FlAIRSGFAM: Evolving Fuzzy ARTMAP Neural Networks.Ahmad A. Al-Daraiseh, Michael Georgiopoulos, Annie S. Wu, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi
2006FlAIRSGeneralized Entropy for Splitting on Numerical Attributes in Decision Trees.Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi
2006IJCNNGap-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
2006IJCNNExperiments with Safe ARTMAP and Comparisons to Other ART Networks.Mingyu Zhong, Bryan Rosander, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi, Samuel Richie
2005IJCNNAn experimental comparison of semi-supervised ARTMAP architectures, GCS and GNG classifiers.Quang Le, Georgios C. Anagnostopoulos, Michael Georgiopoulos, Ken Ports
2005IJCNNOn the design of an ellipsoid ARTMAP classifier within the fuzzy adaptive system ART framework.Ross Peralta, Georgios C. Anagnostopoulos, Eduardo Gmez-Snchez, Samuel Richie
2005IJCNNParallelizing the fuzzy ARTMAP algorithm on a Beowulf cluster.Jimmy Secretan, Jos Castro, Michael Georgiopoulos, Joe Tapia, Amit Chadha, Brian Huber, Georgios C. Anagnostopoulos, Samuel Richie
2003FlAIRSExperimental Comparisons of Semi-Supervised and Supervised ART Classifiers (Invited Talk).Michael Georgiopoulos, Georgios C. Anagnostopoulos, Madan Bharadwaj
2003IJCNNUniversal approximation with Fuzzy ART and Fuzzy ARTMAP.Stephen J. Verzi, Gregory L. Heileman, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2003KESPutting the Utility of Match Tracking in Fuzzy ARTMAP Training to the Test.Georgios C. Anagnostopoulos, Michael Georgiopoulos
2000IJCNNHypersphere ART and ARTMAP for Unsupervised and Supervised, Incremental Learning.Georgios C. Anagnostopoulos, Michael Georgiopoulos