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2020 – today
- 2024
[j20]Johan Chagnon
, Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli:
On the effects of recursive convolutional layers in convolutional neural networks. Neurocomputing 591: 127767 (2024)- [j19]Renfei Sun, Kun Hu, Kaylena A. Ehgoetz Martens, Markus Hagenbuchner, Ah Chung Tsoi, Mohammed Bennamoun, Simon J. G. Lewis, Zhiyong Wang:
Higher Order Polynomial Transformer for Fine-Grained Freezing of Gait Detection. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12746-12759 (2024) - 2023
- [j18]Kun Hu, Zhiyong Wang, Kaylena A. Ehgoetz Martens, Markus Hagenbuchner, Mohammed Bennamoun, Ah Chung Tsoi, Simon J. G. Lewis:
Graph Fusion Network-Based Multimodal Learning for Freezing of Gait Detection. IEEE Trans. Neural Networks Learn. Syst. 34(3): 1588-1600 (2023) - [c45]Din Muhammad Sangrasi, Lei Wang, Markus Hagenbuchner, Peng Wang:
Mitigating the Adverse Effects of Long-Tailed Data on Deep Learning Models. AusDM 2023: 150-162 - [c44]Barbara Toniella Corradini, Paolo Andreini, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi:
Exploring the Role of Recursive Convolutional Layer in Generative Adversarial Networks. ICANN (5) 2023: 53-64 - [c43]Johan Chagnon, Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli:
Going Deeper with Recursive Convolutional Layers. IJCNN 2023: 1-8 - [c42]Jack Humphreys, Markus Hagenbuchner, Zhiyong Wang, Ah Chung Tsoi:
Embedding the Self-Organisation of Deep Feature Maps in the Hamburger Framework can Yield Better and Interpretable Results. IJCNN 2023: 1-8 - 2022
- [c41]Jichao Kan, Kun Hu, Markus Hagenbuchner, Ah Chung Tsoi, Mohammed Bennamoun, Zhiyong Wang:
Sign Language Translation with Hierarchical Spatio-Temporal Graph Neural Network. WACV 2022: 2131-2140 - 2021
- [j17]Alberto Rossi, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi:
A Study on the effects of recursive convolutional layers in convolutional neural networks. Neurocomputing 460: 59-70 (2021) - [c40]Jichao Kan, Kun Hu, Zhiyong Wang, Qiuxia Wu, Markus Hagenbuchner, Ah Chung Tsoi:
Topic-Guided Local-Global Graph Neural Network For Image Captioning. ICME Workshops 2021: 1-6 - [i2]Jichao Kan, Kun Hu, Markus Hagenbuchner, Ah Chung Tsoi, Mohammed Bennamoun, Zhiyong Wang:
Sign Language Translation with Hierarchical Spatio-TemporalGraph Neural Network. CoRR abs/2111.07258 (2021) - 2020
- [c39]Alberto Rossi, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi:
Embedding of FRPN in CNN architecture. ESANN 2020: 133-138 - [i1]Alberto Rossi, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi:
Embedding of FRPN in CNN architecture. CoRR abs/2001.05851 (2020)
2010 – 2019
- 2018
- [j16]Nagesh Shukla, Markus Hagenbuchner, Khin Than Win, Jie (Jack) Yang:
Breast cancer data analysis for survivability studies and prediction. Comput. Methods Programs Biomed. 155: 199-208 (2018) - [j15]Ayu Saraswati, Van Tuc Nguyen, Markus Hagenbuchner, Ah Chung Tsoi:
High-resolution Self-Organizing Maps for advanced visualization and dimension reduction. Neural Networks 105: 166-184 (2018) - [j14]Franco Scarselli, Ah Chung Tsoi, Markus Hagenbuchner:
The Vapnik-Chervonenkis dimension of graph and recursive neural networks. Neural Networks 108: 248-259 (2018) - 2017
- [c38]Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli, Shujia Zhang:
A fully recursive perceptron network architecture. SSCI 2017: 1-8 - 2016
- [c37]Ayu Saraswati, Markus Hagenbuchner, Zhi Quan Zhou:
High Resolution SOM Approach to Improving Anomaly Detection in Intrusion Detection Systems. Australasian Conference on Artificial Intelligence 2016: 191-199 - [c36]Van Tuc Nguyen, Markus Hagenbuchner, Ah Chung Tsoi:
High Resolution Self-organizing Maps. Australasian Conference on Artificial Intelligence 2016: 441-454 - 2014
- [j13]Kaimin Yu, Zhiyong Wang, Markus Hagenbuchner, David Dagan Feng:
Spectral embedding based facial expression recognition with multiple features. Neurocomputing 129: 136-145 (2014) - 2013
- [j12]Franco Scarselli, Ah Chung Tsoi, Markus Hagenbuchner, Lucia Di Noi:
Solving graph data issues using a layered architecture approach with applications to web spam detection. Neural Networks 48: 78-90 (2013) - [c35]Van Tuc Nguyen, Ah Chung Tsoi, Markus Hagenbuchner:
Cost-sensitive cascade graph neural networks. ESANN 2013 - [p4]Ah Chung Tsoi, Markus Hagenbuchner, Milly Kc, Shujia Zhang:
Learning Structural Representations of Text Documents in Large Document Collections. Handbook on Neural Information Processing 2013: 471-503 - 2012
- [j11]Zhiquan Zhou, Shujia Zhang, Markus Hagenbuchner, T. H. Tse, Fei-Ching Kuo, Tsong Yueh Chen:
Automated functional testing of online search services. Softw. Test. Verification Reliab. 22(4): 221-243 (2012) - 2011
- [c34]Markus Hagenbuchner, Giovanni Da San Martino, Ah Chung Tsoi, Alessandro Sperduti:
Sparsity Issues in Self-Organizing-Maps for Structures. ESANN 2011 - 2010
- [c33]Edmondo Trentin, Shujia Zhang, Markus Hagenbuchner:
Recognition of Sequences of Graphical Patterns. ANNPR 2010: 48-59 - [c32]Donatella Muratore, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi:
Sentence Extraction by Graph Neural Networks. ICANN (3) 2010: 237-246 - [c31]Lucia Di Noi, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi:
Web Spam Detection by Probability Mapping GraphSOMs and Graph Neural Networks. ICANN (2) 2010: 372-381
2000 – 2009
- 2009
- [j10]Markus Hagenbuchner, Alessandro Sperduti, Ah Chung Tsoi:
Graph self-organizing maps for cyclic and unbounded graphs. Neurocomputing 72(7-9): 1419-1430 (2009) - [j9]Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner, Gabriele Monfardini:
The Graph Neural Network Model. IEEE Trans. Neural Networks 20(1): 61-80 (2009) - [j8]Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner, Gabriele Monfardini:
Computational Capabilities of Graph Neural Networks. IEEE Trans. Neural Networks 20(1): 81-102 (2009) - [j7]Fabio Aiolli, Giovanni Da San Martino, Markus Hagenbuchner, Alessandro Sperduti:
Learning Nonsparse Kernels by Self-Organizing Maps for Structured Data. IEEE Trans. Neural Networks 20(12): 1938-1949 (2009) - [c30]Rowena Chau, Ah Chung Tsoi, Markus Hagenbuchner, Vincent C. S. Lee:
A ConceptLink Graph for Text Structure Mining. ACSC 2009: 129-137 - [c29]Markus Hagenbuchner, Shujia Zhang, Ah Chung Tsoi, Alessandro Sperduti:
Projection of undirected and non-positional graphs using Self Organizing Maps. ESANN 2009 - [c28]Milly Kc, Rowena Chau, Markus Hagenbuchner, Ah Chung Tsoi, Vincent C. S. Lee:
A Machine Learning Approach to Link Prediction for Interlinked Documents. INEX 2009: 342-354 - [c27]Shujia Zhang, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi:
Supervised Encoding of Graph-of-Graphs for Classification and Regression Problems. INEX 2009: 449-461 - [c26]Liang Lu, Reihaneh Safavi-Naini, Markus Hagenbuchner, Willy Susilo, Jeffrey Horton, Sweah Liang Yong, Ah Chung Tsoi:
Ranking Attack Graphs with Graph Neural Networks. ISPEC 2009: 345-359 - [p3]Fabio Aiolli, Giovanni Da San Martino, Markus Hagenbuchner, Alessandro Sperduti:
Self-Organizing Maps for Structured Domains: Theory, Models, and Learning of Kernels. Innovations in Neural Information Paradigms and Applications 2009: 9-42 - [p2]Ah Chung Tsoi, Markus Hagenbuchner, Rowena Chau, Vincent C. S. Lee:
Unsupervised and Supervised Learning of Graph Domains. Innovations in Neural Information Paradigms and Applications 2009: 43-65 - 2008
- [c25]Markus Hagenbuchner, Alessandro Sperduti, Ah Chung Tsoi:
Self-Organizing Maps for cyclic and unbounded graphs. ESANN 2008: 203-208 - [c24]Milly Kc, Markus Hagenbuchner, Ah Chung Tsoi:
A Scalable Lightweight Distributed Crawler for Crawling with Limited Resources. Web Intelligence/IAT Workshops 2008: 663-666 - [c23]Sweah Liang Yong, Markus Hagenbuchner, Ah Chung Tsoi:
Ranking Web Pages Using Machine Learning Approaches. Web Intelligence/IAT Workshops 2008: 677-680 - [c22]Shujia Zhang, Markus Hagenbuchner, Ah Chung Tsoi, Alessandro Sperduti:
Self Organizing Maps for the Clustering of Large Sets of Labeled Graphs. INEX 2008: 469-481 - [c21]Milly Kc, Markus Hagenbuchner, Ah Chung Tsoi:
Quality Information Retrieval for the World Wide Web. Web Intelligence 2008: 655-661 - 2007
- [c20]Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti, Markus Hagenbuchner:
"Kernelized" Self-Organizing Maps for Structured Data. ESANN 2007: 19-24 - [c19]Markus Hagenbuchner, Ah Chung Tsoi, Alessandro Sperduti, Milly Kc:
Efficient Clustering of Structured Documents Using Graph Self-Organizing Maps. INEX 2007: 207-221 - 2006
- [j6]Ah Chung Tsoi, Markus Hagenbuchner, Franco Scarselli:
Computing customized page ranks. ACM Trans. Internet Techn. 6(4): 381-414 (2006) - [c18]Ah Chung Tsoi, Markus Hagenbuchner, Alessandro Sperduti:
Self-organising Map Techniques for Graph Data Applications to Clustering of XML Documents. ADMA 2006: 19-30 - [c17]Francesca Trentini, Markus Hagenbuchner, Alessandro Sperduti, Franco Scarselli:
A Self-Organising Map Approach for Clustering of XML Documents. IJCNN 2006: 1805-1812 - [c16]Sweah Liang Yong, Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli, Marco Gori:
Document Mining Using Graph Neural Network. INEX 2006: 458-472 - [c15]Milly Kc, Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli, Alessandro Sperduti, Marco Gori:
XML Document Mining Using Contextual Self-organizing Maps for Structures. INEX 2006: 510-524 - [p1]Ah Chung Tsoi, Shu Zhang, Markus Hagenbuchner:
Hierarchical Hidden Markov Models: An Application to Health Insurance Data. Selected Papers from AusDM 2006: 244-259 - 2005
- [j5]Markus Hagenbuchner, Ah Chung Tsoi:
A supervised training algorithm for self-organizing maps for structures. Pattern Recognit. Lett. 26(12): 1874-1884 (2005) - [j4]Ah Chung Tsoi, Shu Zhang, Markus Hagenbuchner:
Pattern Discovery on Australian Medical Claims Data-A Systematic Approach. IEEE Trans. Knowl. Data Eng. 17(10): 1420-1435 (2005) - [c14]Ah Chung Tsoi, Franco Scarselli, Marco Gori, Markus Hagenbuchner, Sweah Liang Yong:
A Neural Network Approach to Web Graph Processing. APWeb 2005: 27-38 - [c13]Markus Hagenbuchner, Alessandro Sperduti, Ah Chung Tsoi:
Contextual Processing of Graphs using Self-Organizing Maps. ESANN 2005: 399-404 - [c12]Markus Hagenbuchner, Alessandro Sperduti, Ah Chung Tsoi, Francesca Trentini, Franco Scarselli, Marco Gori:
Clustering XML Documents Using Self-organizing Maps for Structures. INEX 2005: 481-496 - [c11]Franco Scarselli, Sweah Liang Yong, Marco Gori, Markus Hagenbuchner, Ah Chung Tsoi, Marco Maggini:
Graph Neural Networks for Ranking Web Pages. Web Intelligence 2005: 666-672 - [c10]Franco Scarselli, Sweah Liang Yong, Markus Hagenbuchner, Ah Chung Tsoi:
Adaptive page ranking with neural networks. WWW (Special interest tracks and posters) 2005: 936-937 - [c9]Wei-Tsen Milly Chiang, Markus Hagenbuchner, Ah Chung Tsoi:
The WT10G dataset and the evolution of the web. WWW (Special interest tracks and posters) 2005: 938-939 - 2004
- [c8]Franco Scarselli, Ah Chung Tsoi, Marco Gori, Markus Hagenbuchner:
Graphical-Based Learning Environments for Pattern Recognition. SSPR/SPR 2004: 42-56 - [c7]Franco Scarselli, Ah Chung Tsoi, Markus Hagenbuchner:
Computing personalized pageranks. WWW (Alternate Track Papers & Posters) 2004: 382-383 - 2003
- [j3]Markus Hagenbuchner, Marco Gori, Horst Bunke, Ah Chung Tsoi, Christophe Irniger:
Using attributed plex grammars for the generation of image and graph databases. Pattern Recognit. Lett. 24(8): 1081-1087 (2003) - [j2]Markus Hagenbuchner, Alessandro Sperduti, Ah Chung Tsoi:
A self-organizing map for adaptive processing of structured data. IEEE Trans. Neural Networks 14(3): 491-505 (2003) - [c6]Ah Chung Tsoi, Daniele Frosali, Marco Gori, Markus Hagenbuchner, Franco Scarselli:
A Simple Focused Crawler. WWW (Posters) 2003 - [c5]Ah Chung Tsoi, Gianni Morini, Franco Scarselli, Markus Hagenbuchner, Marco Maggini:
Adaptive ranking of web pages. WWW 2003: 356-365 - 2001
- [c4]Markus Hagenbuchner, Ah Chung Tsoi, Alessandro Sperduti:
A Supervised Self-Organizing Map for Structured Data. WSOM 2001: 21-28 - 2000
- [c3]Ah Chung Tsoi, Markus Hagenbuchner, Alessio Micheli:
Building MLP Networks by Construction. IJCNN (4) 2000: 549-556
1990 – 1999
- 1999
- [c2]Hans A. Kestler, Steffen Simon, Axel Baune, Markus Hagenbuchner, Friedhelm Schwenker, Günther Palm:
A Hierarchical Neural Object Classifier for Subsymbolic-Symbolic Coupling. DAGM-Symposium 1999: 27-35 - [c1]Markus Hagenbuchner, Ah Chung Tsoi:
A benchmark for testing adaptive systems on structured data. ESANN 1999: 63-68 - 1997
- [j1]Markus Hagenbuchner, John Fulcher:
Noise Removal in Ionograms by Neural Network. Neural Comput. Appl. 6(3): 165-172 (1997)
Coauthor Index
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