Markus Hagenbuchner

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 17

Top Topics

Dimension Reduction

Top Venues

Australasian Conference on Artificial Intelligence

Publications

Johan Chagnon, Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli
On the effects of recursive convolutional layers in convolutional neural networks. Neurocomputing 591 (2024)
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) (2023)
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)
Johan Chagnon, Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli
Going Deeper with Recursive Convolutional Layers. IJCNN (2023)
Din Muhammad Sangrasi, Lei Wang, Markus Hagenbuchner, Peng Wang
Mitigating the Adverse Effects of Long-Tailed Data on Deep Learning Models. AusDM (2023)
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)
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)
Alberto Rossi, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi
A Study on the effects of recursive convolutional layers in convolutional neural networks. Neurocomputing 460 (2021)
Jichao Kan, Kun Hu, Markus Hagenbuchner, Ah Chung Tsoi, Mohammed Bennamounm, Zhiyong Wang
Sign Language Translation with Hierarchical Spatio-TemporalGraph Neural Network. CoRR (2021)
Alberto Rossi, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi
Embedding of FRPN in CNN architecture. CoRR (2020)
Alberto Rossi, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi
Embedding of FRPN in CNN architecture. ESANN (2020)
Franco Scarselli, Ah Chung Tsoi, Markus Hagenbuchner
The Vapnik-Chervonenkis dimension of graph and recursive neural networks. Neural Networks 108 (2018)
Nagesh Shukla, Markus Hagenbuchner, Khin Than Win, Jie (Jack) Yang
Breast cancer data analysis for survivability studies and prediction. Comput. Methods Programs Biomed. 155 (2018)
Ayu Saraswati, Van Tuc Nguyen, Markus Hagenbuchner, Ah Chung Tsoi
High-resolution Self-Organizing Maps for advanced visualization and dimension reduction. Neural Networks 105 (2018)
Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli, Shujia Zhang
A fully recursive perceptron network architecture. SSCI (2017)
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)
Van Tuc Nguyen, Markus Hagenbuchner, Ah Chung Tsoi
High Resolution Self-organizing Maps. Australasian Conference on Artificial Intelligence (2016)
Kaimin Yu, Zhiyong Wang, Markus Hagenbuchner, David Dagan Feng
Spectral embedding based facial expression recognition with multiple features. Neurocomputing 129 (2014)
Van Tuc Nguyen, Ah Chung Tsoi, Markus Hagenbuchner
Cost-sensitive cascade graph neural networks. ESANN (2013)
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 (2013)
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) (2012)
Markus Hagenbuchner, Giovanni Da San Martino, Ah Chung Tsoi, Alessandro Sperduti
Sparsity Issues in Self-Organizing-Maps for Structures. ESANN (2011)
Lucia Di Noi, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi
Web Spam Detection by Probability Mapping GraphSOMs and Graph Neural Networks. ICANN (2) (2010)
Edmondo Trentin, Shujia Zhang, Markus Hagenbuchner
Recognition of Sequences of Graphical Patterns. ANNPR (2010)
Donatella Muratore, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi
Sentence Extraction by Graph Neural Networks. ICANN (3) (2010)
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) (2009)
Shujia Zhang, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi
Supervised Encoding of Graph-of-Graphs for Classification and Regression Problems. INEX (2009)
Markus Hagenbuchner, Shujia Zhang, Ah Chung Tsoi, Alessandro Sperduti
Projection of undirected and non-positional graphs using Self Organizing Maps. ESANN (2009)
Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner, Gabriele Monfardini
The Graph Neural Network Model. IEEE Trans. Neural Networks 20 (1) (2009)
Rowena Chau, Ah Chung Tsoi, Markus Hagenbuchner, Vincent C. S. Lee
A ConceptLink Graph for Text Structure Mining. ACSC (2009)
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)
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)
Markus Hagenbuchner, Alessandro Sperduti, Ah Chung Tsoi
Graph self-organizing maps for cyclic and unbounded graphs. Neurocomputing 72 (7-9) (2009)
Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner, Gabriele Monfardini
Computational Capabilities of Graph Neural Networks. IEEE Trans. Neural Networks 20 (1) (2009)
Sweah Liang Yong, Markus Hagenbuchner, Ah Chung Tsoi
Ranking Web Pages Using Machine Learning Approaches. Web Intelligence/IAT Workshops (2008)
Shujia Zhang, Markus Hagenbuchner, Ah Chung Tsoi, Alessandro Sperduti
Self Organizing Maps for the Clustering of Large Sets of Labeled Graphs. INEX (2008)
Markus Hagenbuchner, Alessandro Sperduti, Ah Chung Tsoi
Self-Organizing Maps for cyclic and unbounded graphs. ESANN (2008)
Milly Kc, Markus Hagenbuchner, Ah Chung Tsoi
A Scalable Lightweight Distributed Crawler for Crawling with Limited Resources. Web Intelligence/IAT Workshops (2008)
Milly Kc, Markus Hagenbuchner, Ah Chung Tsoi
Quality Information Retrieval for the World Wide Web. Web Intelligence (2008)
Markus Hagenbuchner, Ah Chung Tsoi, Alessandro Sperduti, Milly Kc
Efficient Clustering of Structured Documents Using Graph Self-Organizing Maps. INEX (2007)
Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti, Markus Hagenbuchner
"Kernelized" Self-Organizing Maps for Structured Data. ESANN (2007)
Ah Chung Tsoi, Markus Hagenbuchner, Franco Scarselli
Computing customized page ranks. ACM Trans. Internet Techn. 6 (4) (2006)
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)
Ah Chung Tsoi, Markus Hagenbuchner, Alessandro Sperduti
Self-organising Map Techniques for Graph Data Applications to Clustering of XML Documents. ADMA (2006)
Francesca Trentini, Markus Hagenbuchner, Alessandro Sperduti, Franco Scarselli
A Self-Organising Map Approach for Clustering of XML Documents. IJCNN (2006)
Sweah Liang Yong, Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli, Marco Gori
Document Mining Using Graph Neural Network. INEX (2006)
Ah Chung Tsoi, Franco Scarselli, Marco Gori, Markus Hagenbuchner, Sweah Liang Yong
A Neural Network Approach to Web Graph Processing. APWeb (2005)
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)
Franco Scarselli, Sweah Liang Yong, Marco Gori, Markus Hagenbuchner, Ah Chung Tsoi, Marco Maggini
Graph Neural Networks for Ranking Web Pages. Web Intelligence (2005)
Markus Hagenbuchner, Alessandro Sperduti, Ah Chung Tsoi
Contextual Processing of Graphs using Self-Organizing Maps. ESANN (2005)
Markus Hagenbuchner, Ah Chung Tsoi
A supervised training algorithm for self-organizing maps for structures. Pattern Recognit. Lett. 26 (12) (2005)
Markus Hagenbuchner, Alessandro Sperduti, Ah Chung Tsoi, Francesca Trentini, Franco Scarselli, Marco Gori
Clustering XML Documents Using Self-organizing Maps for Structures. INEX (2005)
Franco Scarselli, Sweah Liang Yong, Markus Hagenbuchner, Ah Chung Tsoi
Adaptive page ranking with neural networks. WWW (Special interest tracks and posters) (2005)
Ah Chung Tsoi, Shu Zhang, Markus Hagenbuchner
Pattern Discovery on Australian Medical Claims Data-A Systematic Approach. IEEE Trans. Knowl. Data Eng. 17 (10) (2005)
Franco Scarselli, Ah Chung Tsoi, Marco Gori, Markus Hagenbuchner
Graphical-Based Learning Environments for Pattern Recognition. SSPR/SPR (2004)
Franco Scarselli, Ah Chung Tsoi, Markus Hagenbuchner
Computing personalized pageranks. WWW (Alternate Track Papers & Posters) (2004)
Ah Chung Tsoi, Daniele Frosali, Marco Gori, Markus Hagenbuchner, Franco Scarselli
A Simple Focused Crawler. WWW (Posters) (2003)
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) (2003)
Ah Chung Tsoi, Gianni Morini, Franco Scarselli, Markus Hagenbuchner, Marco Maggini
Adaptive ranking of web pages. WWW (2003)
Markus Hagenbuchner, Alessandro Sperduti, Ah Chung Tsoi
A self-organizing map for adaptive processing of structured data. IEEE Trans. Neural Networks 14 (3) (2003)
Markus Hagenbuchner, Ah Chung Tsoi, Alessandro Sperduti
A Supervised Self-Organizing Map for Structured Data. WSOM (2001)
Ah Chung Tsoi, Markus Hagenbuchner, Alessio Micheli
Building MLP Networks by Construction. IJCNN (4) (2000)
Markus Hagenbuchner, Ah Chung Tsoi
A benchmark for testing adaptive systems on structured data. ESANN (1999)
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)
Markus Hagenbuchner, John Fulcher
Noise Removal in Ionograms by Neural Network. Neural Comput. Appl. 6 (3) (1997)