Markus Hagenbuchner

According to our database, Markus Hagenbuchner authored at least 70 papers between 1997 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

IEEE Trans. Neural Networks Learn. Syst., September, 2024

On the effects of recursive convolutional layers in convolutional neural networks.

Johan Chagnon, Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli

Neurocomputing, 2024

2023

Graph Fusion Network-Based Multimodal Learning for Freezing of Gait Detection.

Kun Hu, Zhiyong Wang, Kaylena A. Ehgoetz Martens, Markus Hagenbuchner, Mohammed Bennamoun, Ah Chung Tsoi, Simon J. G. Lewis

IEEE Trans. Neural Networks Learn. Syst., March, 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, Ah Chung Tsoi

Proceedings of the International Joint Conference on Neural Networks, 2023

Going Deeper with Recursive Convolutional Layers.

Johan Chagnon, Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli

Proceedings of the International Joint Conference on Neural Networks, 2023

Exploring the Role of Recursive Convolutional Layer in Generative Adversarial Networks.

Barbara Toniella Corradini, Paolo Andreini, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

Mitigating the Adverse Effects of Long-Tailed Data on Deep Learning Models.

Din Muhammad Sangrasi, Lei Wang, Markus Hagenbuchner, Peng Wang

Proceedings of the Data Science and Machine Learning, 2023

2022

Sign Language Translation with Hierarchical Spatio-Temporal Graph Neural Network.

Jichao Kan, Kun Hu, Markus Hagenbuchner, Ah Chung Tsoi, Mohammed Bennamoun, Zhiyong Wang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

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-TemporalGraph Neural Network.

Jichao Kan, Kun Hu, Markus Hagenbuchner, Ah Chung Tsoi, Mohammed Bennamoun, Zhiyong Wang

CoRR, 2021

Topic-Guided Local-Global Graph Neural Network For Image Captioning.

Jichao Kan, Kun Hu, Zhiyong Wang, Qiuxia Wu, Markus Hagenbuchner, Ah Chung Tsoi

Proceedings of the 2021 IEEE International Conference on Multimedia & Expo Workshops, 2021

2020

Embedding of FRPN in CNN architecture.

Alberto Rossi, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2018

The Vapnik-Chervonenkis dimension of graph and recursive neural networks.

Franco Scarselli, Ah Chung Tsoi, Markus Hagenbuchner

Neural Networks, 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

Breast cancer data analysis for survivability studies and prediction.

Nagesh Shukla, Markus Hagenbuchner, Khin Than Win, Jie (Jack) Yang

Comput. Methods Programs Biomed., 2018

2017

A fully recursive perceptron network architecture.

Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli, Shujia Zhang

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2016

High Resolution SOM Approach to Improving Anomaly Detection in Intrusion Detection Systems.

Ayu Saraswati, Markus Hagenbuchner, Zhi Quan Zhou

Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016

High Resolution Self-organizing Maps.

Van Tuc Nguyen, Markus Hagenbuchner, Ah Chung Tsoi

Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016

2014

Spectral embedding based facial expression recognition with multiple features.

Kaimin Yu, Zhiyong Wang, Markus Hagenbuchner, David Dagan Feng

Neurocomputing, 2014

2013

Learning Structural Representations of Text Documents in Large Document Collections.

Ah Chung Tsoi, Markus Hagenbuchner, Milly Kc, Shujia Zhang

Proceedings of the Handbook on Neural Information Processing, 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

Cost-sensitive cascade graph neural networks.

Van Tuc Nguyen, Ah Chung Tsoi, Markus Hagenbuchner

Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

2012

Automated functional testing of online search services.

Zhiquan Zhou, Shujia Zhang, Markus Hagenbuchner, T. H. Tse, Fei-Ching Kuo, Tsong Yueh Chen

Softw. Test. Verification Reliab., 2012

2011

Sparsity Issues in Self-Organizing-Maps for Structures.

Markus Hagenbuchner, Giovanni Da San Martino, Ah Chung Tsoi, Alessandro Sperduti

Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

2010

Web Spam Detection by Probability Mapping GraphSOMs and Graph Neural Networks.

Lucia Di Noi, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi

Proceedings of the Artificial Neural Networks, 2010

Sentence Extraction by Graph Neural Networks.

Donatella Muratore, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi

Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

Recognition of Sequences of Graphical Patterns.

Edmondo Trentin, Shujia Zhang, Markus Hagenbuchner

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2010

2009

Unsupervised and Supervised Learning of Graph Domains.

Ah Chung Tsoi, Markus Hagenbuchner, Rowena Chau, Vincent C. S. Lee

Proceedings of the Innovations in Neural Information Paradigms and Applications, 2009

Self-Organizing Maps for Structured Domains: Theory, Models, and Learning of Kernels.

Fabio Aiolli, Giovanni Da San Martino, Markus Hagenbuchner, Alessandro Sperduti

Proceedings of the Innovations in Neural Information Paradigms and Applications, 2009

Computational Capabilities of Graph Neural Networks.

Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner, Gabriele Monfardini

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

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

Graph self-organizing maps for cyclic and unbounded graphs.

Markus Hagenbuchner, Alessandro Sperduti, Ah Chung Tsoi

Neurocomputing, 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

Proceedings of the Information Security Practice and Experience, 2009

Supervised Encoding of Graph-of-Graphs for Classification and Regression Problems.

Shujia Zhang, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi

Proceedings of the Focused Retrieval and Evaluation, 2009

A Machine Learning Approach to Link Prediction for Interlinked Documents.

Milly Kc, Rowena Chau, Markus Hagenbuchner, Ah Chung Tsoi, Vincent C. S. Lee

Proceedings of the Focused Retrieval and Evaluation, 2009

Projection of undirected and non-positional graphs using Self Organizing Maps.

Markus Hagenbuchner, Shujia Zhang, Ah Chung Tsoi, Alessandro Sperduti

Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

A ConceptLink Graph for Text Structure Mining.

Rowena Chau, Ah Chung Tsoi, Markus Hagenbuchner, Vincent C. S. Lee

Proceedings of the Computer Science 2009, 2009

2008

Quality Information Retrieval for the World Wide Web.

Milly Kc, Markus Hagenbuchner, Ah Chung Tsoi

Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008

Self Organizing Maps for the Clustering of Large Sets of Labeled Graphs.

Shujia Zhang, Markus Hagenbuchner, Ah Chung Tsoi, Alessandro Sperduti

Proceedings of the Advances in Focused Retrieval, 2008

Ranking Web Pages Using Machine Learning Approaches.

Sweah Liang Yong, Markus Hagenbuchner, Ah Chung Tsoi

Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2008

A Scalable Lightweight Distributed Crawler for Crawling with Limited Resources.

Milly Kc, Markus Hagenbuchner, Ah Chung Tsoi

Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2008

Self-Organizing Maps for cyclic and unbounded graphs.

Markus Hagenbuchner, Alessandro Sperduti, Ah Chung Tsoi

Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

2007

Efficient Clustering of Structured Documents Using Graph Self-Organizing Maps.

Markus Hagenbuchner, Ah Chung Tsoi, Alessandro Sperduti, Milly Kc

Proceedings of the Focused Access to XML Documents, 2007

"Kernelized" Self-Organizing Maps for Structured Data.

Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti, Markus Hagenbuchner

Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

2006

Computing customized page ranks.

Ah Chung Tsoi, Markus Hagenbuchner, Franco Scarselli

ACM Trans. Internet Techn., 2006

Document Mining Using Graph Neural Network.

Sweah Liang Yong, Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli, Marco Gori

Proceedings of the Comparative Evaluation of XML Information Retrieval Systems, 2006

XML Document Mining Using Contextual Self-organizing Maps for Structures.

Milly Kc, Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli, Alessandro Sperduti, Marco Gori

Proceedings of the Comparative Evaluation of XML Information Retrieval Systems, 2006

A Self-Organising Map Approach for Clustering of XML Documents.

Francesca Trentini, Markus Hagenbuchner, Alessandro Sperduti, Franco Scarselli

Proceedings of the International Joint Conference on Neural Networks, 2006

Hierarchical Hidden Markov Models: An Application to Health Insurance Data.

Ah Chung Tsoi, Shu Zhang, Markus Hagenbuchner

Proceedings of the Data Mining - Theory, Methodology, Techniques, and Applications, 2006

Self-organising Map Techniques for Graph Data Applications to Clustering of XML Documents.

Ah Chung Tsoi, Markus Hagenbuchner, Alessandro Sperduti

Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006

2005

Pattern Discovery on Australian Medical Claims Data-A Systematic Approach.

Ah Chung Tsoi, Shu Zhang, Markus Hagenbuchner

IEEE Trans. Knowl. Data Eng., 2005

A supervised training algorithm for self-organizing maps for structures.

Markus Hagenbuchner, Ah Chung Tsoi

Pattern Recognit. Lett., 2005

Adaptive page ranking with neural networks.

Franco Scarselli, Sweah Liang Yong, Markus Hagenbuchner, Ah Chung Tsoi

Proceedings of the 14th international conference on World Wide Web, 2005

The WT10G dataset and the evolution of the web.

Wei-Tsen Milly Chiang, Markus Hagenbuchner, Ah Chung Tsoi

Proceedings of the 14th international conference on World Wide Web, 2005

Graph Neural Networks for Ranking Web Pages.

Franco Scarselli, Sweah Liang Yong, Marco Gori, Markus Hagenbuchner, Ah Chung Tsoi, Marco Maggini

Proceedings of the 2005 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2005), 2005

Clustering XML Documents Using Self-organizing Maps for Structures.

Markus Hagenbuchner, Alessandro Sperduti, Ah Chung Tsoi, Francesca Trentini, Franco Scarselli, Marco Gori

Proceedings of the Advances in XML Information Retrieval and Evaluation, 2005

Contextual Processing of Graphs using Self-Organizing Maps.

Markus Hagenbuchner, Alessandro Sperduti, Ah Chung Tsoi

Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

A Neural Network Approach to Web Graph Processing.

Ah Chung Tsoi, Franco Scarselli, Marco Gori, Markus Hagenbuchner, Sweah Liang Yong

Proceedings of the Web Technologies Research and Development - APWeb 2005, 7th Asia-Pacific Web Conference, Shanghai, China, March 29, 2005

2004

Computing personalized pageranks.

Franco Scarselli, Ah Chung Tsoi, Markus Hagenbuchner

Proceedings of the 13th international conference on World Wide Web, 2004

Graphical-Based Learning Environments for Pattern Recognition.

Franco Scarselli, Ah Chung Tsoi, Marco Gori, Markus Hagenbuchner

Proceedings of the Structural, 2004

2003

A self-organizing map for adaptive processing of structured data.

Markus Hagenbuchner, Alessandro Sperduti, Ah Chung Tsoi

IEEE Trans. Neural Networks, 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

Adaptive ranking of web pages.

Ah Chung Tsoi, Gianni Morini, Franco Scarselli, Markus Hagenbuchner, Marco Maggini

Proceedings of the Twelfth International World Wide Web Conference, 2003

A Simple Focused Crawler.

Ah Chung Tsoi, Daniele Frosali, Marco Gori, Markus Hagenbuchner, Franco Scarselli

Proceedings of the Twelfth International World Wide Web Conference - Posters, 2003

2001

A Supervised Self-Organizing Map for Structured Data.

Markus Hagenbuchner, Ah Chung Tsoi, Alessandro Sperduti

Proceedings of the Advances in Self-Organising Maps, 2001

2000

Building MLP Networks by Construction.

Ah Chung Tsoi, Markus Hagenbuchner, Alessio Micheli

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999

A benchmark for testing adaptive systems on structured data.

Markus Hagenbuchner, Ah Chung Tsoi

Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999

A Hierarchical Neural Object Classifier for Subsymbolic-Symbolic Coupling.

Hans A. Kestler, Steffen Simon, Axel Baune, Markus Hagenbuchner, Friedhelm Schwenker, Günther Palm

Proceedings of the Mustererkennung 1999, 1999

1997

Noise Removal in Ionograms by Neural Network.

Markus Hagenbuchner, John Fulcher

Neural Comput. Appl., 1997