Georgios C. Anagnostopoulos

84 papers A* 2A 4B 23Misc 4Journal 34Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Generalized Time Rescaling Theorem for Temporal Point Processes. Neural Comput. Xi Zhang, Akshay Aravamudan, Georgios C. Anagnostopoulos
2025	J	`jnl`	Data-driven Super-Resolution of Flood Inundation Maps using Synthetic Simulations. CoRR Akshay Aravamudan, Zimeena Rasheed, Xi Zhang, Kira E. Scarpignato, Efthymios I. Nikolopoulos, Witold F. Krajewski, Georgios C. Anagnostopoulos
2023	A*	`conf`	Anytime User Engagement Prediction in Information Cascades for Arbitrary Observation Periods. AAAI Akshay Aravamudan, Xi Zhang, Georgios C. Anagnostopoulos
2022	A*	`conf`	Anytime Information Cascade Popularity Prediction via Self-Exciting Processes. ICML Xi Zhang, Akshay Aravamudan, Georgios C. Anagnostopoulos
2021	—	`conf`	Environmental Sound Classification with Tiny Transformers in Noisy Edge Environments. WF-IoT 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
2021	—	`conf`	Influence Dynamics Among Narratives - A Case Study of the Venezuelan Presidential Crisis. SBP-BRiMS Akshay Aravamudan, Xi Zhang, Jihye Song, Stephen M. Fiore, Georgios C. Anagnostopoulos
2021	J	`jnl`	Influence Dynamics Among Narratives: A Case Study of the Venezuelan Presidential Crisis. CoRR Akshay Aravamudan, Xi Zhang, Jihye Song, Stephen M. Fiore, Georgios C. Anagnostopoulos
2020	J	`jnl`	Deep Agent: Studying the Dynamics of Information Spread and Evolution in Social Networks. CoRR 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
2019	J	`jnl`	Learning Hash Function through Codewords. CoRR Yinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2019	J	`jnl`	Reduced-Rank Local Distance Metric Learning for k-NN Classification. CoRR Yinjie Huang, Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2018	J	`jnl`	Local Rademacher Complexity-based Learning Guarantees for Multi-Task Learning. J. Mach. Learn. Res. Niloofar Yousefi, Yunwen Lei, Marius Kloft, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos
2018	B	`conf`	Multi-Label Learning Via Codewords. ICTAI Mahlagha Sedghi, Yinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2018	J	`jnl`	Pareto-Optimal Model Selection via SPRINT-Race. IEEE Trans. Cybern. Tiantian Zhang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2017	J	`jnl`	Multi-Task Learning Using Neighborhood Kernels. CoRR Niloofar Yousefi, Cong Li, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Michael Georgiopoulos
2017	B	`conf`	Sparse Inductive Embedding: An Explorative Data Visualization Technique. ICTAI Mahlagha Sedghi, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2016	J	`jnl`	A Simple Method for Solving the SVM Regularization Path for Semidefinite Kernels. IEEE Trans. Neural Networks Learn. Syst. Christopher Sentelle, Georgios C. Anagnostopoulos, Michael Georgiopoulos
2016	J	`jnl`	Local Rademacher Complexity-based Learning Guarantees for Multi-Task Learning. CoRR Niloofar Yousefi, Yunwen Lei, Marius Kloft, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos
2016	J	`jnl`	Multi-Objective Model Selection via Racing. IEEE Trans. Cybern. Tiantian Zhang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2015	—	`conf`	Hash Function Learning via Codewords. ECML/PKDD (1) Yinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2015	J	`jnl`	Hash Function Learning via Codewords. CoRR Yinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2015	—	`conf`	Multi-Task Learning with Group-Specific Feature Space Sharing. ECML/PKDD (2) Niloofar Yousefi, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2015	J	`jnl`	Multi-Task Learning with Group-Specific Feature Space Sharing. CoRR Niloofar Yousefi, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2015	J	`jnl`	Multitask Classification Hypothesis Space With Improved Generalization Bounds. IEEE Trans. Neural Networks Learn. Syst. Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2015	J	`jnl`	Pareto-Path Multitask Multiple Kernel Learning. IEEE Trans. Neural Networks Learn. Syst. Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2015	A	`conf`	SPRINT Multi-Objective Model Racing. GECCO Tiantian Zhang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2014	J	`jnl`	A Unifying Framework for Typical Multi-Task Multiple Kernel Learning Problems. CoRR Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2014	J	`jnl`	A Unifying Framework for Typical Multitask Multiple Kernel Learning Problems. IEEE Trans. Neural Networks Learn. Syst. Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2014	J	`jnl`	Conic Multi-Task Classification. CoRR Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2014	—	`conf`	Conic Multi-task Classification. ECML/PKDD (2) Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2014	A	`conf`	Derivative free optimization using a population-based stochastic gradient estimator. GECCO Azhar Khayrattee, Georgios C. Anagnostopoulos
2014	A	`conf`	Online model racing based on extreme performance. GECCO Tiantian Zhang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2014	J	`jnl`	Pareto-Path Multi-Task Multiple Kernel Learning. CoRR Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2013	B	`conf`	Kernel-based distance metric learning in the output space. IJCNN Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2013	J	`jnl`	Multi-Task Classification Hypothesis Space with Improved Generalization Bounds. CoRR Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2013	J	`jnl`	Output-Space Distance Metric Learning for k-NN Classification. CoRR Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2013	—	`conf`	Reduced-Rank Local Distance Metric Learning. ECML/PKDD (3) Yinjie Huang, Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2013	A	`conf`	S-Race: a multi-objective racing algorithm. GECCO Tiantian Zhang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2011	B	`conf`	Accelerated learning of Generalized Sammon Mappings. IJCNN Yinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2011	J	`jnl`	Efficient Revised Simplex Method for SVM Training. IEEE Trans. Neural Networks Christopher Sentelle, Georgios C. Anagnostopoulos, Michael Georgiopoulos
2011	B	`conf`	Kernel principal subspace Mahalanobis distances for outlier detection. IJCNN Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2011	B	`conf`	Multinomial Squared Direction Cosines Regression. IJCNN Naveed Iqbal, Georgios C. Anagnostopoulos
2010	J	`jnl`	An adaptive multiobjective approach to evolving ART architectures. IEEE Trans. Neural Networks Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Christopher Sentelle, Mingyu Zhong
2010	B	`conf`	Metric representations of data via the Kernel-based Sammon Mapping. IJCNN Mingbo Ma, Ryan Gonet, Ruizhi Yu, Georgios C. Anagnostopoulos
2010	B	`conf`	Multi-objective memetic evolution of ART-based classifiers. IEEE Congress on Evolutionary Computation Rong Li, Timothy R. Mersch, Oriana X. Wen, Assem Kaylani, Georgios C. Anagnostopoulos
2009	J	`jnl`	AG-ART: An adaptive approach to evolving ART architectures. Neurocomputing Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos
2009	—	`conf`	An Open Source Framework for Real-Time, Incremental, Static and Dynamic Hand Gesture Learning and Recognition. HCI (2) Todd C. Alexander, Hassan S. Ahmed, Georgios C. Anagnostopoulos
2009	B	`conf`	An efficient active set method for SVM training without singular inner problems. IJCNN Christopher Sentelle, Georgios C. Anagnostopoulos, Michael Georgiopoulos
2009	—	`conf`	Outlier Detection for Large High-Dimensional Categorical Data using Non-Derivable and Non-Almost-Derivable Sets. DMIN Anna Koufakou, Jimmy Secretan, Michelle Fox, Gary Gramajo, Georgios C. Anagnostopoulos, Michael Georgiopoulos
2008	J	`jnl`	A Mach. Learn. Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2008	Misc	`conf`	A Backward Adjusting Strategy and Optimization of the C4.5 Parameters to Improve C4.5's Performance. FLAIRS Jason R. Beck, Maria Garcia, Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2008	B	`conf`	A fast revised simplex method for SVM training. ICPR Christopher Sentelle, Georgios C. Anagnostopoulos, Michael Georgiopoulos
2008	—	`conf`	Detecting Outliers in High-Dimensional Datasets with Mixed Attributes. DMIN Anna Koufakou, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2008	B	`conf`	Efficient evolution of ART neural networks. IEEE Congress on Evolutionary Computation Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos
2008	—	`conf`	Intelligent Trading Agents for Massively Multi-player Game Economies. AIIDE John Reeder, Gita Sukthankar, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2008	—	`conf`	Interactively evolved modular neural networks for game agent control. CIG John Reeder, Roberto Miguez, Jessica Sparks, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2008	B	`conf`	MO-GART: Multiobjective genetic ART architectures. IEEE Congress on Evolutionary Computation Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos
2008	B	`conf`	Properties of the k-norm pruning algorithm for decision tree classifiers. ICPR Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2008	—	`ed.`	Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshop, SSPR & SPR 2008, Orlando, USA, December 4-6, 2008. Proceedings SSPR/SPR Niels da Vitoria Lobo, Takis Kasparis, Fabio Roli, James Tin-Yau Kwok, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Marco Loog
2007	—	`conf`	A Scalable and Efficient Outlier Detection Strategy for Categorical Data. ICTAI (2) Anna Koufakou, Enrique G. Ortiz, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Kenneth M. Reynolds
2007	J	`jnl`	Experiments with Safe muARTMAP : Effect of the network parameters on the network performance. Neural Networks Mingyu Zhong, Bryan Rosander, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi, Samuel Richie
2007	—	`conf`	Experiments with an innovative tree pruning algorithm. Artificial Intelligence and Applications Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2007	J	`jnl`	GFAM: Evolving Fuzzy ARTMAP neural networks. Neural Networks Ahmad A. Al-Daraiseh, Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Annie S. Wu, Georgios C. Anagnostopoulos
2007	J	`jnl`	Gap-Based Estimation: Choosing the Smoothing Parameters for Probabilistic and General Regression Neural Networks. Neural Comput. Mingyu Zhong, Dave Coggeshall, Ehsan Ghaneie, Thomas Pope, Mark Rivera, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi, Samuel Richie
2007	B	`conf`	Genetic Optimization of ART Neural Network Architectures. IJCNN Assem Kaylani, Ahmad A. Al-Daraiseh, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Annie S. Wu
2007	—	`ch.`	Genetically Engineered ART Architectures. Computational Intelligence Based on Lattice Theory Ahmad A. Al-Daraiseh, Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Annie S. Wu, Georgios C. Anagnostopoulos
2007	J	`jnl`	Multiclass Cancer Classification Using Semisupervised Ellipsoid ARTMAP and Particle Swarm Optimization with Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. Rui Xu, Georgios C. Anagnostopoulos, Donald C. Wunsch
2007	B	`conf`	On Extending the SMO Algorithm Sub-Problem. IJCNN Christopher Sentelle, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Cynthia Young
2007	J	`jnl`	Pipelining of Fuzzy ARTMAP without matchtracking: Correctness, performance bound, and Beowulf evaluation. Neural Networks José Castro, Jimmy Secretan, Michael Georgiopoulos, Ronald F. DeMara, Georgios C. Anagnostopoulos, Avelino J. Gonzalez
2006	B	`conf`	Experiments with Safe ARTMAP and Comparisons to Other ART Networks. IJCNN Mingyu Zhong, Bryan Rosander, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi, Samuel Richie
2006	B	`conf`	GFAM: A Genetic Algorithm Optimization of Fuzzy ARTMAP. FUZZ-IEEE Ahmad A. Al-Daraiseh, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Annie S. Wu, Mansooreh Mollaghasemi
2006	Misc	`conf`	GFAM: Evolving Fuzzy ARTMAP Neural Networks. FLAIRS Ahmad A. Al-Daraiseh, Michael Georgiopoulos, Annie S. Wu, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi
2006	B	`conf`	Gap-Based Estimation: Choosing the Smoothing Parameters for Probabilistic and General Regression Neural Networks. IJCNN Mingyu Zhong, Dave Coggeshall, Ehsan Ghaneie, Thomas Pope, Mark Rivera, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi, Samuel Richie
2006	Misc	`conf`	Generalized Entropy for Splitting on Numerical Attributes in Decision Trees. FLAIRS Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi
2005	B	`conf`	An experimental comparison of semi-supervised ARTMAP architectures, GCS and GNG classifiers. IJCNN Quang Le, Georgios C. Anagnostopoulos, Michael Georgiopoulos, Ken Ports
2005	B	`conf`	On the design of an ellipsoid ARTMAP classifier within the fuzzy adaptive system ART framework. IJCNN Ross Peralta, Georgios C. Anagnostopoulos, Eduardo Gómez-Sánchez, Samuel Richie
2005	B	`conf`	Parallelizing the fuzzy ARTMAP algorithm on a Beowulf cluster. IJCNN Jimmy Secretan, José Castro, Michael Georgiopoulos, Joe Tapia, Amit Chadha, Brian Huber, Georgios C. Anagnostopoulos, Samuel Richie
2004	J	`jnl`	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. Ghaith Rabadi, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos
2003	Misc	`conf`	Experimental Comparisons of Semi-Supervised and Supervised ART Classifiers (Invited Talk). FLAIRS Michael Georgiopoulos, Georgios C. Anagnostopoulos, Madan Bharadwaj
2003	B	`conf`	Putting the Utility of Match Tracking in Fuzzy ARTMAP Training to the Test. KES Georgios C. Anagnostopoulos, Michael Georgiopoulos
2003	B	`conf`	Universal approximation with Fuzzy ART and Fuzzy ARTMAP. IJCNN Stephen J. Verzi, Gregory L. Heileman, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2002	J	`jnl`	Category regions as new geometrical concepts in Fuzzy-ART and Fuzzy-ARTMAP. Neural Networks Georgios C. Anagnostopoulos, Michael Georgiopoulos
2001	J	`jnl`	Cross-validation in Fuzzy ARTMAP for large databases. Neural Networks Anna Koufakou, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Takis Kasparis
2000	—	`conf`	Classification of noisy patterns using ARTMAP-based neural networks. Visual Information Processing Dimitrios Charalampidis, Georgios C. Anagnostopoulos, Takis Kasparis, Michael Georgiopoulos
2000	—	`conf`	Hypersphere ART and ARTMAP for Unsupervised and Supervised, Incremental Learning. IJCNN (6) Georgios C. Anagnostopoulos, Michael Georgiopoulos