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ORCIDGeorgios C. Anagnostopoulos
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2020 – today
- 2023
[c44]Akshay Aravamudan, Xi Zhang, Georgios C. Anagnostopoulos:
Anytime User Engagement Prediction in Information Cascades for Arbitrary Observation Periods. AAAI 2023: 4999-5009- 2022
- [c43]Xi Zhang, Akshay Aravamudan, Georgios C. Anagnostopoulos:
Anytime Information Cascade Popularity Prediction via Self-Exciting Processes. ICML 2022: 26028-26047 - 2021
- [c42]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: 204-213 - [c41]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: 309-314 - [i13]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 abs/2111.10402 (2021) - 2020
- [i12]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 abs/2003.11611 (2020)
2010 – 2019
- 2019
- [i11]Yinjie Huang, Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Reduced-Rank Local Distance Metric Learning for k-NN Classification. CoRR abs/1902.08313 (2019) - [i10]Yinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Learning Hash Function through Codewords. CoRR abs/1902.08639 (2019) - 2018
- [j19]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: 38:1-38:47 (2018) - [j18]Tiantian Zhang, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Pareto-Optimal Model Selection via SPRINT-Race. IEEE Trans. Cybern. 48(2): 596-610 (2018) - [c40]Mahlagha Sedghi, Yinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Multi-Label Learning Via Codewords. ICTAI 2018: 221-228 - 2017
- [c39]Mahlagha Sedghi, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Sparse Inductive Embedding: An Explorative Data Visualization Technique. ICTAI 2017: 618-622 - [i9]Niloofar Yousefi, Cong Li, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Michael Georgiopoulos:
Multi-Task Learning Using Neighborhood Kernels. CoRR abs/1707.03426 (2017) - 2016
- [j17]Tiantian Zhang, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Multi-Objective Model Selection via Racing. IEEE Trans. Cybern. 46(8): 1863-1876 (2016) - [j16]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): 709-722 (2016) - [i8]Niloofar Yousefi, Yunwen Lei, Marius Kloft, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos:
Local Rademacher Complexity-based Learning Guarantees for Multi-Task Learning. CoRR abs/1602.05916 (2016) - 2015
- [j15]Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Pareto-Path Multitask Multiple Kernel Learning. IEEE Trans. Neural Networks Learn. Syst. 26(1): 51-61 (2015) - [j14]Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Multitask Classification Hypothesis Space With Improved Generalization Bounds. IEEE Trans. Neural Networks Learn. Syst. 26(7): 1468-1479 (2015) - [c38]Tiantian Zhang, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
SPRINT Multi-Objective Model Racing. GECCO 2015: 1383-1390 - [c37]Niloofar Yousefi, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Multi-Task Learning with Group-Specific Feature Space Sharing. ECML/PKDD (2) 2015: 120-136 - [c36]Yinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Hash Function Learning via Codewords. ECML/PKDD (1) 2015: 659-674 - [i7]Yinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Hash Function Learning via Codewords. CoRR abs/1508.03285 (2015) - [i6]Niloofar Yousefi, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Multi-Task Learning with Group-Specific Feature Space Sharing. CoRR abs/1508.03329 (2015) - 2014
- [j13]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): 1287-1297 (2014) - [c35]Azhar Khayrattee, Georgios C. Anagnostopoulos:
Derivative free optimization using a population-based stochastic gradient estimator. GECCO 2014: 983-990 - [c34]Tiantian Zhang, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Online model racing based on extreme performance. GECCO 2014: 1351-1358 - [c33]Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Conic Multi-task Classification. ECML/PKDD (2) 2014: 193-208 - [i5]Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
A Unifying Framework for Typical Multi-Task Multiple Kernel Learning Problems. CoRR abs/1401.5136 (2014) - [i4]Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Pareto-Path Multi-Task Multiple Kernel Learning. CoRR abs/1404.3190 (2014) - [i3]Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Conic Multi-Task Classification. CoRR abs/1408.4714 (2014) - 2013
- [c32]Tiantian Zhang, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
S-Race: a multi-objective racing algorithm. GECCO 2013: 1565-1572 - [c31]Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Kernel-based distance metric learning in the output space. IJCNN 2013: 1-8 - [c30]Yinjie Huang, Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Reduced-Rank Local Distance Metric Learning. ECML/PKDD (3) 2013: 224-239 - [i2]Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Output-Space Distance Metric Learning for k-NN Classification. CoRR abs/1312.2578 (2013) - [i1]Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Multi-Task Classification Hypothesis Space with Improved Generalization Bounds. CoRR abs/1312.2606 (2013) - 2011
- [j12]Christopher Sentelle, Georgios C. Anagnostopoulos, Michael Georgiopoulos:
Efficient Revised Simplex Method for SVM Training. IEEE Trans. Neural Networks 22(10): 1650-1661 (2011) - [c29]Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Kernel principal subspace Mahalanobis distances for outlier detection. IJCNN 2011: 2528-2535 - [c28]Yinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Accelerated learning of Generalized Sammon Mappings. IJCNN 2011: 2952-2960 - [c27]Naveed Iqbal, Georgios C. Anagnostopoulos:
Multinomial Squared Direction Cosines Regression. IJCNN 2011: 3028-3035 - 2010
- [j11]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): 529-550 (2010) - [c26]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: 1-8 - [c25]Mingbo Ma, Ryan Gonet, RuiZhi Yu, Georgios C. Anagnostopoulos:
Metric representations of data via the Kernel-based Sammon Mapping. IJCNN 2010: 1-7
2000 – 2009
- 2009
- [j10]Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos:
AG-ART: An adaptive approach to evolving ART architectures. Neurocomputing 72(10-12): 2079-2092 (2009) - [c24]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: 505-511 - [c23]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: 123-130 - [c22]Christopher Sentelle, Georgios C. Anagnostopoulos, Michael Georgiopoulos:
An efficient active set method for SVM training without singular inner problems. IJCNN 2009: 2875-2882 - 2008
- [j9]Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
A k -norm pruning algorithm for decision tree classifiers based on error rate estimation. Mach. Learn. 71(1): 55-88 (2008) - [c21]John Reeder, Gita Sukthankar, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Intelligent Trading Agents for Massively Multi-player Game Economies. AIIDE 2008 - [c20]Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos:
MO-GART: Multiobjective genetic ART architectures. IEEE Congress on Evolutionary Computation 2008: 1425-1432 - [c19]Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos:
Efficient evolution of ART neural networks. IEEE Congress on Evolutionary Computation 2008: 3456-3463 - [c18]John Reeder, Roberto Miguez, Jessica Sparks, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Interactively evolved modular neural networks for game agent control. CIG 2008: 167-174 - [c17]Anna Koufakou, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Detecting Outliers in High-Dimensional Datasets with Mixed Attributes. DMIN 2008: 427-433 - [c16]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 2008: 35-40 - [c15]Christopher Sentelle, Georgios C. Anagnostopoulos, Michael Georgiopoulos:
A fast revised simplex method for SVM training. ICPR 2008: 1-4 - [c14]Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Properties of the k-norm pruning algorithm for decision tree classifiers. ICPR 2008: 1-4 - [e1]Niels da Vitoria Lobo, Takis Kasparis, Fabio Roli, James Tin-Yau Kwok, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Marco Loog:
Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshop, SSPR & SPR 2008, Orlando, USA, December 4-6, 2008. Proceedings. Lecture Notes in Computer Science 5342, Springer 2008, ISBN 978-3-540-89688-3 [contents] - 2007
- [j8]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): 2840-2864 (2007) - [j7]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): 109-128 (2007) - [j6]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): 245-259 (2007) - [j5]Ahmad A. Al-Daraiseh, Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Annie S. Wu, Georgios C. Anagnostopoulos:
GFAM: Evolving Fuzzy ARTMAP neural networks. Neural Networks 20(8): 874-892 (2007) - [j4]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): 65-77 (2007) - [c13]Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Experiments with an innovative tree pruning algorithm. Artificial Intelligence and Applications 2007: 385-390 - [c12]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: 210-217 - [c11]Assem Kaylani, Ahmad A. Al-Daraiseh, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Annie S. Wu:
Genetic Optimization of ART Neural Network Architectures. IJCNN 2007: 379-384 - [c10]Christopher Sentelle, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Cynthia Young:
On Extending the SMO Algorithm Sub-Problem. IJCNN 2007: 886-891 - [p1]Ahmad A. Al-Daraiseh, Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Annie S. Wu, Georgios C. Anagnostopoulos:
Genetically Engineered ART Architectures. Computational Intelligence Based on Lattice Theory 2007: 233-262 - 2006
- [c9]Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi:
Generalized Entropy for Splitting on Numerical Attributes in Decision Trees. FLAIRS 2006: 604-609 - [c8]Ahmad A. Al-Daraiseh, Michael Georgiopoulos, Annie S. Wu, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi:
GFAM: Evolving Fuzzy ARTMAP Neural Networks. FLAIRS 2006: 694-699 - [c7]Ahmad A. Al-Daraiseh, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Annie S. Wu, Mansooreh Mollaghasemi:
GFAM: A Genetic Algorithm Optimization of Fuzzy ARTMAP. FUZZ-IEEE 2006: 315-322 - [c6]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: 720-727 - [c5]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: 1870-1877 - 2004
- [j3]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): 1727-1751 (2004) - 2003
- [c4]Michael Georgiopoulos, Georgios C. Anagnostopoulos, Madan Bharadwaj:
Experimental Comparisons of Semi-Supervised and Supervised ART Classifiers (Invited Talk). FLAIRS 2003: 433 - [c3]Georgios C. Anagnostopoulos, Michael Georgiopoulos:
Putting the Utility of Match Tracking in Fuzzy ARTMAP Training to the Test. KES 2003: 1-6 - 2002
- [j2]Georgios C. Anagnostopoulos, Michael Georgiopoulos:
Category regions as new geometrical concepts in Fuzzy-ART and Fuzzy-ARTMAP. Neural Networks 15(10): 1205-1221 (2002) - 2001
- [j1]Anna Koufakou, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Takis Kasparis:
Cross-validation in Fuzzy ARTMAP for large databases. Neural Networks 14(9): 1279-1291 (2001) - 2000
- [c2]Georgios C. Anagnostopoulos, Michael Georgiopoulos:
Hypersphere ART and ARTMAP for Unsupervised and Supervised, Incremental Learning. IJCNN (6) 2000: 59-66 - [c1]Dimitrios Charalampidis, Georgios C. Anagnostopoulos, Takis Kasparis, Michael Georgiopoulos:
Classification of noisy patterns using ARTMAP-based neural networks. Visual Information Processing 2000: 2-13
Coauthor Index
[i11] [i10] [j18] [c40] [c39] [i9] [j17] [j16] [j15] [j14] [c38] [c37] [c36] [i7] [i6] [j13] [c34] [c33] [i5] [i4] [i3] [c32] [c31] [c30] [i2] [i1] [j12] [c29] [c28] [j11] [j10] [c24] [c22] [j9] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [e1] [j8] [j7] [j6] [j5] [c13] [c12] [c11] [c10] [p1] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [j2] [j1] [c2] [c1]
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