Noise Removal in Ionograms by Neural Network. - Markus Hagenbuchner; John Fulcher (Neural Comput. Appl., 1997)

A Hierarchical Neural Object Classifier for Subsymbolic-Symbolic Coupling. - Hans A. Kestler; Steffen Simon; Axel Baune; Markus Hagenbuchner; Friedhelm Schwenker; Günther Palm (DAGM-Symposium, 1999)

A benchmark for testing adaptive systems on structured data. - Markus Hagenbuchner; Ah Chung Tsoi (ESANN, 1999)

Building MLP Networks by Construction. - Ah Chung Tsoi; Markus Hagenbuchner; Alessio Micheli (IJCNN (4), 2000)

A Supervised Self-Organizing Map for Structured Data. - Markus Hagenbuchner; Ah Chung Tsoi; Alessandro Sperduti (WSOM, 2001)

A Simple Focused Crawler. - Ah Chung Tsoi; Daniele Frosali; Marco Gori; Markus Hagenbuchner; Franco Scarselli (WWW (Posters), 2003)

Adaptive ranking of web pages. - Ah Chung Tsoi; Gianni Morini; Franco Scarselli; Markus Hagenbuchner; Marco Maggini (WWW, 2003)

Using attributed plex grammars for the generation of image and graph databases. - Markus Hagenbuchner; Marco Gori; Horst Bunke; Ah Chung Tsoi; Christophe Irniger (Pattern Recognit. Lett., 2003)

A self-organizing map for adaptive processing of structured data. - Markus Hagenbuchner; Alessandro Sperduti; Ah Chung Tsoi (IEEE Trans. Neural Networks, 2003)

A supervised self-organizing map for structures. - Markus Hagenbuchner; Ah Chung Tsoi (IJCNN, 2004)

Graphical-Based Learning Environments for Pattern Recognition. - Franco Scarselli; Ah Chung Tsoi; Marco Gori; Markus Hagenbuchner (SSPR/SPR, 2004)

Computing personalized pageranks. - Franco Scarselli; Ah Chung Tsoi; Markus Hagenbuchner (WWW (Alternate Track Papers & Posters), 2004)

A Neural Network Approach to Web Graph Processing. - Ah Chung Tsoi; Franco Scarselli; Marco Gori; Markus Hagenbuchner; Sweah Liang Yong (APWeb, 2005)

Contextual Processing of Graphs using Self-Organizing Maps. - Markus Hagenbuchner; Alessandro Sperduti; Ah Chung Tsoi (ESANN, 2005)

Clustering XML Documents Using Self-organizing Maps for Structures. - Markus Hagenbuchner; Alessandro Sperduti; Ah Chung Tsoi; Francesca Trentini; Franco Scarselli; Marco Gori (INEX, 2005)

Graph Neural Networks for Ranking Web Pages. - Franco Scarselli; Sweah Liang Yong; Marco Gori; Markus Hagenbuchner; Ah Chung Tsoi; Marco Maggini (Web Intelligence, 2005)

The WT10G dataset and the evolution of the web. - Wei-Tsen Milly Chiang; Markus Hagenbuchner; Ah Chung Tsoi (WWW (Special interest tracks and posters), 2005)

Adaptive page ranking with neural networks. - Franco Scarselli; Sweah Liang Yong; Markus Hagenbuchner; Ah Chung Tsoi (WWW (Special interest tracks and posters), 2005)

A supervised training algorithm for self-organizing maps for structures. - Markus Hagenbuchner; Ah Chung Tsoi (Pattern Recognit. Lett., 2005)

Pattern Discovery on Australian Medical Claims Data-A Systematic Approach. - Ah Chung Tsoi; Shu Zhang; Markus Hagenbuchner (IEEE Trans. Knowl. Data Eng., 2005)

Self-organising Map Techniques for Graph Data Applications to Clustering of XML Documents. - Ah Chung Tsoi; Markus Hagenbuchner; Alessandro Sperduti (ADMA, 2006)

Hierarchical Hidden Markov Models: An Application to Health Insurance Data. - Ah Chung Tsoi; Shu Zhang; Markus Hagenbuchner (Selected Papers from AusDM, 2006)

A Self-Organising Map Approach for Clustering of XML Documents. - Francesca Trentini; Markus Hagenbuchner; Alessandro Sperduti; Franco Scarselli (IJCNN, 2006)

XML Document Mining Using Contextual Self-organizing Maps for Structures. - Milly Kc; Markus Hagenbuchner; Ah Chung Tsoi; Franco Scarselli; Alessandro Sperduti; Marco Gori (INEX, 2006)

Document Mining Using Graph Neural Network. - Sweah Liang Yong; Markus Hagenbuchner; Ah Chung Tsoi; Franco Scarselli; Marco Gori (INEX, 2006)

Computing customized page ranks. - Ah Chung Tsoi; Markus Hagenbuchner; Franco Scarselli (ACM Trans. Internet Techn., 2006)

"Kernelized" Self-Organizing Maps for Structured Data. - Fabio Aiolli; Giovanni Da San Martino; Alessandro Sperduti; Markus Hagenbuchner (ESANN, 2007)

Efficient Clustering of Structured Documents Using Graph Self-Organizing Maps. - Markus Hagenbuchner; Ah Chung Tsoi; Alessandro Sperduti; Milly Kc (INEX, 2007)

Self-Organizing Maps for cyclic and unbounded graphs. - Markus Hagenbuchner; Alessandro Sperduti; Ah Chung Tsoi (ESANN, 2008)

A Scalable Lightweight Distributed Crawler for Crawling with Limited Resources. - Milly Kc; Markus Hagenbuchner; Ah Chung Tsoi (Web Intelligence/IAT Workshops, 2008)

Ranking Web Pages Using Machine Learning Approaches. - Sweah Liang Yong; Markus Hagenbuchner; Ah Chung Tsoi (Web Intelligence/IAT Workshops, 2008)

Self Organizing Maps for the Clustering of Large Sets of Labeled Graphs. - Shujia Zhang; Markus Hagenbuchner; Ah Chung Tsoi; Alessandro Sperduti (INEX, 2008)

Quality Information Retrieval for the World Wide Web. - Milly Kc; Markus Hagenbuchner; Ah Chung Tsoi (Web Intelligence, 2008)

A ConceptLink Graph for Text Structure Mining. - Rowena Chau; Ah Chung Tsoi; Markus Hagenbuchner; Vincent C. S. Lee (ACSC, 2009)

Projection of undirected and non-positional graphs using Self Organizing Maps. - Markus Hagenbuchner; Shujia Zhang; Ah Chung Tsoi; Alessandro Sperduti (ESANN, 2009)

A Machine Learning Approach to Link Prediction for Interlinked Documents. - Milly Kc; Rowena Chau; Markus Hagenbuchner; Ah Chung Tsoi; Vincent C. S. Lee (INEX, 2009)

Supervised Encoding of Graph-of-Graphs for Classification and Regression Problems. - Shujia Zhang; Markus Hagenbuchner; Franco Scarselli; Ah Chung Tsoi (INEX, 2009)

Ranking Attack Graphs with Graph Neural Networks. - Liang Lu; Reihaneh Safavi-Naini; Markus Hagenbuchner; Willy Susilo; Jeffrey Horton; Sweah Liang Yong; Ah Chung Tsoi (ISPEC, 2009)

Graph self-organizing maps for cyclic and unbounded graphs. - Markus Hagenbuchner; Alessandro Sperduti; Ah Chung Tsoi (Neurocomputing, 2009)

Learning Nonsparse Kernels by Self-Organizing Maps for Structured Data. - Fabio Aiolli; Giovanni Da San Martino; Markus Hagenbuchner; Alessandro Sperduti (IEEE Trans. Neural Networks, 2009)

The Graph Neural Network Model. - Franco Scarselli; Marco Gori; Ah Chung Tsoi; Markus Hagenbuchner; Gabriele Monfardini (IEEE Trans. Neural Networks, 2009)

Computational Capabilities of Graph Neural Networks. - Franco Scarselli; Marco Gori; Ah Chung Tsoi; Markus Hagenbuchner; Gabriele Monfardini (IEEE Trans. Neural Networks, 2009)

Self-Organizing Maps for Structured Domains: Theory, Models, and Learning of Kernels. - Fabio Aiolli; Giovanni Da San Martino; Markus Hagenbuchner; Alessandro Sperduti (Innovations in Neural Information Paradigms and Applications, 2009)

Unsupervised and Supervised Learning of Graph Domains. - Ah Chung Tsoi; Markus Hagenbuchner; Rowena Chau; Vincent C. S. Lee (Innovations in Neural Information Paradigms and Applications, 2009)

Recognition of Sequences of Graphical Patterns. - Edmondo Trentin; Shujia Zhang; Markus Hagenbuchner (ANNPR, 2010)

Sentence Extraction by Graph Neural Networks. - Donatella Muratore; Markus Hagenbuchner; Franco Scarselli; Ah Chung Tsoi (ICANN (3), 2010)

Web Spam Detection by Probability Mapping GraphSOMs and Graph Neural Networks. - Lucia Di Noi; Markus Hagenbuchner; Franco Scarselli; Ah Chung Tsoi (ICANN (2), 2010)

Sparsity Issues in Self-Organizing-Maps for Structures. - Markus Hagenbuchner; Giovanni Da San Martino; Ah Chung Tsoi; Alessandro Sperduti (ESANN, 2011)

Automated functional testing of online search services. - Zhi Quan Zhou 001; Shujia Zhang; Markus Hagenbuchner; T. H. Tse; Fei-Ching Kuo; Tsong Yueh Chen (Softw. Test. Verification Reliab., 2012)

Cost-sensitive cascade graph neural networks. - Van Tuc Nguyen; Ah Chung Tsoi; Markus Hagenbuchner (ESANN, 2013)

Solving graph data issues using a layered architecture approach with applications to web spam detection. - Franco Scarselli; Ah Chung Tsoi; Markus Hagenbuchner; Lucia Di Noi (Neural Networks, 2013)

Learning Structural Representations of Text Documents in Large Document Collections. - Ah Chung Tsoi; Markus Hagenbuchner; Milly Kc; Shujia Zhang (Handbook on Neural Information Processing, 2013)

Spectral embedding based facial expression recognition with multiple features. - Kaimin Yu; Zhiyong Wang 001; Markus Hagenbuchner; David Dagan Feng (Neurocomputing, 2014)

High Resolution Self-organizing Maps. - Van Tuc Nguyen; Markus Hagenbuchner; Ah Chung Tsoi (Australasian Conference on Artificial Intelligence, 2016)

High Resolution SOM Approach to Improving Anomaly Detection in Intrusion Detection Systems. - Ayu Saraswati; Markus Hagenbuchner; Zhi Quan Zhou 001 (Australasian Conference on Artificial Intelligence, 2016)

A fully recursive perceptron network architecture. - Markus Hagenbuchner; Ah Chung Tsoi; Franco Scarselli; Shujia Zhang (SSCI, 2017)

Breast cancer data analysis for survivability studies and prediction. - Nagesh Shukla; Markus Hagenbuchner; Khin Than Win; Jie (Jack) Yang (Comput. Methods Programs Biomed., 2018)

High-resolution Self-Organizing Maps for advanced visualization and dimension reduction. - Ayu Saraswati; Van Tuc Nguyen; Markus Hagenbuchner; Ah Chung Tsoi (Neural Networks, 2018)

The Vapnik-Chervonenkis dimension of graph and recursive neural networks. - Franco Scarselli; Ah Chung Tsoi; Markus Hagenbuchner (Neural Networks, 2018)

Embedding of FRPN in CNN architecture. - Alberto Rossi; Markus Hagenbuchner; Franco Scarselli; Ah Chung Tsoi (ESANN, 2020)

Topic-Guided Local-Global Graph Neural Network For Image Captioning. - Jichao Kan; Kun Hu; Zhiyong Wang 001; Qiuxia Wu; Markus Hagenbuchner; Ah Chung Tsoi (ICME Workshops, 2021)

Sign Language Translation with Hierarchical Spatio-TemporalGraph Neural Network. - Jichao Kan; Kun Hu; Markus Hagenbuchner; Ah Chung Tsoi; Mohammed Bennamoun; Zhiyong Wang 001 (CoRR, 2021)

A Study on the effects of recursive convolutional layers in convolutional neural networks. - Alberto Rossi; Markus Hagenbuchner; Franco Scarselli; Ah Chung Tsoi (Neurocomputing, 2021)

Sign Language Translation with Hierarchical Spatio-Temporal Graph Neural Network. - Jichao Kan; Kun Hu; Markus Hagenbuchner; Ah Chung Tsoi; Mohammed Bennamoun; Zhiyong Wang 001 (WACV, 2022)

Mitigating the Adverse Effects of Long-Tailed Data on Deep Learning Models. - Din Muhammad Sangrasi; Lei Wang; Markus Hagenbuchner; Peng Wang (AusDM, 2023)

Exploring the Role of Recursive Convolutional Layer in Generative Adversarial Networks. - Barbara Toniella Corradini; Paolo Andreini; Markus Hagenbuchner; Franco Scarselli; Ah Chung Tsoi (ICANN (5), 2023)

Going Deeper with Recursive Convolutional Layers. - Johan Chagnon; Markus Hagenbuchner; Ah Chung Tsoi; Franco Scarselli (IJCNN, 2023)

Embedding the Self-Organisation of Deep Feature Maps in the Hamburger Framework can Yield Better and Interpretable Results. - Jack Humphreys; Markus Hagenbuchner; Zhiyong Wang 001; Ah Chung Tsoi (IJCNN, 2023)

Graph Fusion Network-Based Multimodal Learning for Freezing of Gait Detection. - Kun Hu; Zhiyong Wang 001; Kaylena A. Ehgoetz Martens; Markus Hagenbuchner; Mohammed Bennamoun; Ah Chung Tsoi; Simon J. G. Lewis (IEEE Trans. Neural Networks Learn. Syst., 2023)

On the effects of recursive convolutional layers in convolutional neural networks. - Johan Chagnon; Markus Hagenbuchner; Ah Chung Tsoi; Franco Scarselli (Neurocomputing, 2024)

Higher Order Polynomial Transformer for Fine-Grained Freezing of Gait Detection. - Renfei Sun; Kun Hu; Kaylena A. Ehgoetz Martens; Markus Hagenbuchner; Ah Chung Tsoi; Mohammed Bennamoun; Simon J. G. Lewis; Zhiyong Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Investigating the effects of recursion in convolutional layers using analytical methods. - Johan Chagnon; Markus Hagenbuchner; Ah Chung Tsoi; Franco Scarselli (Neurocomputing, 2025)