Georgios C. Anagnostopoulos

Publication Activity (10 Years)

Years Active: 2000-2023
Publications (10 Years): 16

Top Topics

Hypothesis Space

Metric Learning

Generalization Bounds

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Cybern.

Publications

Akshay Aravamudan, Xi Zhang, Georgios C. Anagnostopoulos
Anytime User Engagement Prediction in Information Cascades for Arbitrary Observation Periods. AAAI (2023)
Xi Zhang, Akshay Aravamudan, Georgios C. Anagnostopoulos
Anytime Information Cascade Popularity Prediction via Self-Exciting Processes. ICML (2022)
Akshay Aravamudan, Xi Zhang, Jihye Song, Stephen M. Fiore, Georgios C. Anagnostopoulos
Influence Dynamics Among Narratives: A Case Study of the Venezuelan Presidential Crisis. CoRR (2021)
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
Environmental Sound Classification with Tiny Transformers in Noisy Edge Environments. WF-IoT (2021)
Akshay Aravamudan, Xi Zhang, Jihye Song, Stephen M. Fiore, Georgios C. Anagnostopoulos
Influence Dynamics Among Narratives - A Case Study of the Venezuelan Presidential Crisis. SBP-BRiMS (2021)
Ivan Garibay, Toktam A. Oghaz, Niloofar Yousefi, Ece C. Mutlu, Madeline Schiappa, Steven R. Scheinert, Georgios C. Anagnostopoulos, Christina Bouwens, Stephen M. Fiore, Alexander V. Mantzaris, John T. Murphy, William Rand, Anastasia Salter, Mel Stanfill, Gita Sukthankar, Nisha Baral, Gabriel Fair, Chathika Gunaratne, Neda Hajiakhoond Bidoki, Jasser Jasser, Chathura Jayalath, Olivia B. Newton, Samaneh Saadat, Chathurani Senevirathna, Rachel Winter, Xi Zhang
Deep Agent: Studying the Dynamics of Information Spread and Evolution in Social Networks. CoRR (2020)
Yinjie Huang, Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Reduced-Rank Local Distance Metric Learning for k-NN Classification. CoRR (2019)
Yinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Learning Hash Function through Codewords. CoRR (2019)
Tiantian Zhang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Pareto-Optimal Model Selection via SPRINT-Race. IEEE Trans. Cybern. 48 (2) (2018)
Niloofar Yousefi, Yunwen Lei, Marius Kloft, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos
Local Rademacher Complexity-based Learning Guarantees for Multi-Task Learning. J. Mach. Learn. Res. 19 (2018)
Mahlagha Sedghi, Yinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Multi-Label Learning Via Codewords. ICTAI (2018)
Mahlagha Sedghi, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Sparse Inductive Embedding: An Explorative Data Visualization Technique. ICTAI (2017)
Niloofar Yousefi, Cong Li, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Michael Georgiopoulos
Multi-Task Learning Using Neighborhood Kernels. CoRR (2017)
Christopher Sentelle, Georgios C. Anagnostopoulos, Michael Georgiopoulos
A Simple Method for Solving the SVM Regularization Path for Semidefinite Kernels. IEEE Trans. Neural Networks Learn. Syst. 27 (4) (2016)
Tiantian Zhang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Multi-Objective Model Selection via Racing. IEEE Trans. Cybern. 46 (8) (2016)
Niloofar Yousefi, Yunwen Lei, Marius Kloft, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos
Local Rademacher Complexity-based Learning Guarantees for Multi-Task Learning. CoRR (2016)
Niloofar Yousefi, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Multi-Task Learning with Group-Specific Feature Space Sharing. CoRR (2015)
Niloofar Yousefi, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Multi-Task Learning with Group-Specific Feature Space Sharing. ECML/PKDD (2) (2015)
Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Pareto-Path Multitask Multiple Kernel Learning. IEEE Trans. Neural Networks Learn. Syst. 26 (1) (2015)
Yinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Hash Function Learning via Codewords. CoRR (2015)
Yinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Hash Function Learning via Codewords. ECML/PKDD (1) (2015)
Tiantian Zhang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
SPRINT Multi-Objective Model Racing. GECCO (2015)
Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Multitask Classification Hypothesis Space With Improved Generalization Bounds. IEEE Trans. Neural Networks Learn. Syst. 26 (7) (2015)
Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Pareto-Path Multi-Task Multiple Kernel Learning. CoRR (2014)
Azhar Khayrattee, Georgios C. Anagnostopoulos
Derivative free optimization using a population-based stochastic gradient estimator. GECCO (2014)
Tiantian Zhang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Online model racing based on extreme performance. GECCO (2014)
Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
A Unifying Framework for Typical Multi-Task Multiple Kernel Learning Problems. CoRR (2014)
Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Conic Multi-task Classification. ECML/PKDD (2) (2014)
Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Conic Multi-Task Classification. CoRR (2014)
Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
A Unifying Framework for Typical Multitask Multiple Kernel Learning Problems. IEEE Trans. Neural Networks Learn. Syst. 25 (7) (2014)
Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Output-Space Distance Metric Learning for k-NN Classification. CoRR (2013)
Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Multi-Task Classification Hypothesis Space with Improved Generalization Bounds. CoRR (2013)
Yinjie Huang, Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Reduced-Rank Local Distance Metric Learning. ECML/PKDD (3) (2013)
Tiantian Zhang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
S-Race: a multi-objective racing algorithm. GECCO (2013)
Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Kernel-based distance metric learning in the output space. IJCNN (2013)
Naveed Iqbal, Georgios C. Anagnostopoulos
Multinomial Squared Direction Cosines Regression. IJCNN (2011)
Christopher Sentelle, Georgios C. Anagnostopoulos, Michael Georgiopoulos
Efficient Revised Simplex Method for SVM Training. IEEE Trans. Neural Networks 22 (10) (2011)
Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Kernel principal subspace Mahalanobis distances for outlier detection. IJCNN (2011)
Yinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Accelerated learning of Generalized Sammon Mappings. IJCNN (2011)
Mingbo Ma, Ryan Gonet, RuiZhi Yu, Georgios C. Anagnostopoulos
Metric representations of data via the Kernel-based Sammon Mapping. IJCNN (2010)
Rong Li, Timothy R. Mersch, Oriana X. Wen, Assem Kaylani, Georgios C. Anagnostopoulos
Multi-objective memetic evolution of ART-based classifiers. IEEE Congress on Evolutionary Computation (2010)
Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Christopher Sentelle, Mingyu Zhong
An adaptive multiobjective approach to evolving ART architectures. IEEE Trans. Neural Networks 21 (4) (2010)
Christopher Sentelle, Georgios C. Anagnostopoulos, Michael Georgiopoulos
An efficient active set method for SVM training without singular inner problems. IJCNN (2009)
Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos
AG-ART: An adaptive approach to evolving ART architectures. Neurocomputing 72 (10-12) (2009)
Anna Koufakou, Jimmy Secretan, Michelle Fox, Gary Gramajo, Georgios C. Anagnostopoulos, Michael Georgiopoulos
Outlier Detection for Large High-Dimensional Categorical Data using Non-Derivable and Non-Almost-Derivable Sets. DMIN (2009)
Todd C. Alexander, Hassan S. Ahmed, Georgios C. Anagnostopoulos
An Open Source Framework for Real-Time, Incremental, Static and Dynamic Hand Gesture Learning and Recognition. HCI (2) (2009)
John Reeder, Roberto Miguez, Jessica Sparks, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Interactively evolved modular neural networks for game agent control. CIG (2008)
Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Properties of the k-norm pruning algorithm for decision tree classifiers. ICPR (2008)
Jason R. Beck, Maria Garcia, Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos
A Backward Adjusting Strategy and Optimization of the C4.5 Parameters to Improve C4.5's Performance. FLAIRS Conference (2008)
John Reeder, Gita Sukthankar, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Intelligent Trading Agents for Massively Multi-player Game Economies. AIIDE (2008)
Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos
MO-GART: Multiobjective genetic ART architectures. IEEE Congress on Evolutionary Computation (2008)
Christopher Sentelle, Georgios C. Anagnostopoulos, Michael Georgiopoulos
A fast revised simplex method for SVM training. ICPR (2008)
Anna Koufakou, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Detecting Outliers in High-Dimensional Datasets with Mixed Attributes. DMIN (2008)
Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos
-norm pruning algorithm for decision tree classifiers based on error rate estimation. Mach. Learn. 71 (1) (2008)
Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos
Efficient evolution of ART neural networks. IEEE Congress on Evolutionary Computation (2008)
José Castro, Jimmy Secretan, Michael Georgiopoulos, Ronald F. DeMara, Georgios C. Anagnostopoulos, Avelino J. Gonzalez
Pipelining of Fuzzy ARTMAP without matchtracking: Correctness, performance bound, and Beowulf evaluation. Neural Networks 20 (1) (2007)
Christopher Sentelle, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Cynthia Young
On Extending the SMO Algorithm Sub-Problem. IJCNN (2007)
Assem Kaylani, Ahmad Al-Daraiseh, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Annie S. Wu
Genetic Optimization of ART Neural Network Architectures. IJCNN (2007)
Anna Koufakou, Enrique G. Ortiz, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Kenneth M. Reynolds
A Scalable and Efficient Outlier Detection Strategy for Categorical Data. ICTAI (2) (2007)
Mingyu Zhong, Dave Coggeshall, Ehsan Ghaneie, Thomas Pope, Mark Rivera, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi, Samuel Richie
Gap-Based Estimation: Choosing the Smoothing Parameters for Probabilistic and General Regression Neural Networks. Neural Comput. 19 (10) (2007)
Ahmad Al-Daraiseh, Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Annie S. Wu, Georgios C. Anagnostopoulos
GFAM: Evolving Fuzzy ARTMAP neural networks. Neural Networks 20 (8) (2007)
Rui Xu, Georgios C. Anagnostopoulos, Donald C. Wunsch
Multiclass Cancer Classification Using Semisupervised Ellipsoid ARTMAP and Particle Swarm Optimization with Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 4 (1) (2007)
Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Experiments with an innovative tree pruning algorithm. Artificial Intelligence and Applications (2007)
Mingyu Zhong, Bryan Rosander, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi, Samuel Richie
Experiments with Safe muARTMAP : Effect of the network parameters on the network performance. Neural Networks 20 (2) (2007)
Ahmad Al-Daraiseh, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Annie S. Wu, Mansooreh Mollaghasemi
GFAM: A Genetic Algorithm Optimization of Fuzzy ARTMAP. FUZZ-IEEE (2006)
Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi
Generalized Entropy for Splitting on Numerical Attributes in Decision Trees. FLAIRS Conference (2006)
Mingyu Zhong, Dave Coggeshall, Ehsan Ghaneie, Thomas Pope, Mark Rivera, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi, Samuel Richie
Gap-Based Estimation: Choosing the Smoothing Parameters for Probabilistic and General Regression Neural Networks. IJCNN (2006)
Mingyu Zhong, Bryan Rosander, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi, Samuel Richie
Experiments with Safe ARTMAP and Comparisons to Other ART Networks. IJCNN (2006)
Ahmad Al-Daraiseh, Michael Georgiopoulos, Annie S. Wu, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi
GFAM: Evolving Fuzzy ARTMAP Neural Networks. FLAIRS Conference (2006)
Ghaith Rabadi, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos
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. 31 (10) (2004)
Michael Georgiopoulos, Georgios C. Anagnostopoulos, Madan Bharadwaj
Experimental Comparisons of Semi-Supervised and Supervised ART Classifiers (Invited Talk). FLAIRS Conference (2003)
Georgios C. Anagnostopoulos, Michael Georgiopoulos
Putting the Utility of Match Tracking in Fuzzy ARTMAP Training to the Test. KES (2003)
Georgios C. Anagnostopoulos, Michael Georgiopoulos
Category regions as new geometrical concepts in Fuzzy-ART and Fuzzy-ARTMAP. Neural Networks 15 (10) (2002)
Anna Koufakou, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Takis Kasparis
Cross-validation in Fuzzy ARTMAP for large databases. Neural Networks 14 (9) (2001)
Dimitrios Charalampidis, Georgios C. Anagnostopoulos, Takis Kasparis, Michael Georgiopoulos
Classification of noisy patterns using ARTMAP-based neural networks. Visual Information Processing (2000)
Georgios C. Anagnostopoulos, Michael Georgiopoulos
Hypersphere ART and ARTMAP for Unsupervised and Supervised, Incremental Learning. IJCNN (6) (2000)