Markus Hagenbuchner

发表

Ah Chung Tsoi, Franco Scarselli, Markus Hagenbuchner, 2004, WWW Alt. '04.

A fully recursive perceptron network architecture

Ah Chung Tsoi, Franco Scarselli, Markus Hagenbuchner, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

A benchmark for testing adaptive systems on structured data

Ah Chung Tsoi, Markus Hagenbuchner, 1999, ESANN.

"Kernelized" Self-Organizing Maps for Structured Data

Markus Hagenbuchner, Alessandro Sperduti, Giovanni Da San Martino, 2007, ESANN.

Cost-sensitive cascade graph neural networks

Ah Chung Tsoi, Markus Hagenbuchner, Van Tuc Nguyen, 2013, ESANN.

Image classification with structured self-organization map

Markus Hagenbuchner, Zheru Chi, Siu-Yeung Cho, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Learning Structural Representations of Text Documents in Large Document Collections

Ah Chung Tsoi, Markus Hagenbuchner, Shujia Zhang, 2013, Handbook on Neural Information Processing.

Learning Nonsparse Kernels by Self-Organizing Maps for Structured Data

Markus Hagenbuchner, Alessandro Sperduti, Giovanni Da San Martino, 2009, IEEE Transactions on Neural Networks.

High Resolution Self-organizing Maps

Ah Chung Tsoi, Markus Hagenbuchner, Van Tuc Nguyen, 2016, Australasian Conference on Artificial Intelligence.

High-resolution Self-Organizing Maps for advanced visualization and dimension reduction

Ah Chung Tsoi, Markus Hagenbuchner, Van Tuc Nguyen, 2018, Neural Networks.

Investigation into the application of graph neural networks to large-scale recommender systems

Franco Scarselli, Markus Hagenbuchner, Marco Gori, 2006 .

A Neural Network Approach to Web Graph Processing

Ah Chung Tsoi, Franco Scarselli, Markus Hagenbuchner, 2005, APWeb.

The Graph Neural Network Model

Ah Chung Tsoi, Franco Scarselli, Markus Hagenbuchner, 2009, IEEE Transactions on Neural Networks.

A self-organizing map for adaptive processing of structured data

Ah Chung Tsoi, Markus Hagenbuchner, Alessandro Sperduti, 2003, IEEE Trans. Neural Networks.

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

Ah Chung Tsoi, Markus Hagenbuchner, Alessandro Sperduti, 2008, INEX.

Self-Organizing Maps for cyclic and unbounded graphs

Ah Chung Tsoi, Markus Hagenbuchner, Alessandro Sperduti, 2008, ESANN.

Sparsity Issues in Self-Organizing-Maps for Structures

Ah Chung Tsoi, Markus Hagenbuchner, Alessandro Sperduti, 2011, ESANN.

Pattern discovery on Australian medical claim data - a systematic approach

Ah Chung Tsoi, Markus Hagenbuchner, Shu Zhang, 2005, IEEE Transactions on Knowledge and Data Engineering.

A Hierarchical Neural Object Classifier for Subsymbolic-Symbolic Coupling

Günther Palm, Friedhelm Schwenker, Markus Hagenbuchner, 1999, DAGM-Symposium.

Solving graph data issues using a layered architecture approach with applications to web spam detection

Ah Chung Tsoi, Franco Scarselli, Markus Hagenbuchner, 2013, Neural Networks.

Quality Information Retrieval for the World Wide Web

Ah Chung Tsoi, Markus Hagenbuchner, Milly Kc, 2008, 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

A ConceptLink Graph for Text Structure Mining

Ah Chung Tsoi, Markus Hagenbuchner, Rowena Chau, 2009, ACSC.

Breast cancer data analysis for survivability studies and prediction

Markus Hagenbuchner, Khin Than Win, Nagesh Shukla, 2018, Comput. Methods Programs Biomed..

Data driven encoding of structures and link predictions in large Xml document collections

Ah Chung Tsoi, Markus Hagenbuchner, Shujia Zhang, 2012 .

Graph neural networks for ranking Web pages

Ah Chung Tsoi, Franco Scarselli, Markus Hagenbuchner, 2005, The 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05).

Contextual Processing of Graphs using Self-Organizing Maps

Ah Chung Tsoi, Markus Hagenbuchner, Alessandro Sperduti, 2005, ESANN.

The WT10G dataset and the evolution of the web

Ah Chung Tsoi, Markus Hagenbuchner, Wei-Tsen Milly Chiang, 2005, WWW '05.

A supervised training algorithm for self-organizing maps for structures

Ah Chung Tsoi, Markus Hagenbuchner, 2005, Pattern Recognit. Lett..

Unsupervised and Supervised Learning of Graph Domains

Ah Chung Tsoi, Markus Hagenbuchner, Rowena Chau, 2009, Innovations in Neural Information Paradigms and Applications.

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

Markus Hagenbuchner, Alessandro Sperduti, Giovanni Da San Martino, 2009, Innovations in Neural Information Paradigms and Applications.

Computing customized page ranks

Ah Chung Tsoi, Franco Scarselli, Markus Hagenbuchner, 2006, TOIT.

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

Ah Chung Tsoi, Markus Hagenbuchner, Alessandro Sperduti, 2006, ADMA.

Building MLP networks by construction

Alessio Micheli, Ah Chung Tsoi, Markus Hagenbuchner, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Using attributed plex grammars for the generation of image and graph databases

Ah Chung Tsoi, Markus Hagenbuchner, Horst Bunke, 2003, Pattern Recognit. Lett..

The Vapnik-Chervonenkis dimension of graph and recursive neural networks

Ah Chung Tsoi, Franco Scarselli, Markus Hagenbuchner, 2018, Neural Networks.

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

Markus Hagenbuchner, Zhi Quan Zhou, Ayu Saraswati, 2016, Australasian Conference on Artificial Intelligence.

Efficient Clustering of Structured Documents Using Graph Self-Organizing Maps

Ah Chung Tsoi, Markus Hagenbuchner, Alessandro Sperduti, 2008, INEX.

Computational Capabilities of Graph Neural Networks

Ah Chung Tsoi, Franco Scarselli, Markus Hagenbuchner, 2009, IEEE Transactions on Neural Networks.

A Self-Organising Map Approach for Clustering of XML Documents

Franco Scarselli, Markus Hagenbuchner, Alessandro Sperduti, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

XML Document Mining Using Contextual Self-organizing Maps for Structures

Ah Chung Tsoi, Franco Scarselli, Markus Hagenbuchner, 2006, INEX.

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

Ah Chung Tsoi, Franco Scarselli, Markus Hagenbuchner, 2009, INEX.

Deep learning for energy expenditure prediction in pre-school children

Markus Hagenbuchner, Jinglan Zhang, Dian Tjondronegoro, 2018 .

Noise removal in ionograms by neural network

Markus Hagenbuchner, John Fulcher, 2005, Neural Computing & Applications.

A Machine Learning Approach to Link Prediction for Interlinked Documents

Ah Chung Tsoi, Markus Hagenbuchner, Rowena Chau, 2009, INEX.

A Supervised Self-Organizing Map for Structured Data

Ah Chung Tsoi, Markus Hagenbuchner, Alessandro Sperduti, 2001, WSOM.

Free-living Evaluation Of Laboratory-based Machine Learning Algorithms For Activity Classification In Preschool Children

Markus Hagenbuchner, Stewart G. Trost, Alok Kumar Chowdhury, 2019, Medicine & Science in Sports & Exercise.

Embedding of FRPN in CNN architecture pdf

Ah Chung Tsoi, Franco Scarselli, Markus Hagenbuchner, 2020, ESANN.

A Scalable Lightweight Distributed Crawler for Crawling with Limited Resources

Ah Chung Tsoi, Markus Hagenbuchner, Milly Kc, 2008, 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

Hierarchical Hidden Markov Models: An Application to Health Insurance Data

Ah Chung Tsoi, Markus Hagenbuchner, Shu Zhang, 2006, Selected Papers from AusDM.

Recognition of Sequences of Graphical Patterns

Markus Hagenbuchner, Shujia Zhang, Edmondo Trentin, 2010, ANNPR.

Spectral embedding based facial expression recognition with multiple features

Markus Hagenbuchner, David Dagan Feng, Zhiyong Wang, 2014, Neurocomputing.

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

Ah Chung Tsoi, Markus Hagenbuchner, Alessandro Sperduti, 2009, ESANN.

Adaptive page ranking with neural networks

Ah Chung Tsoi, Franco Scarselli, Markus Hagenbuchner, 2005, WWW '05.

Extensions and evaluations of adaptive processing of structured information using artifical neural networks

Markus Hagenbuchner, M. Hagenbuchner, 2002 .

Graphical-Based Learning Environments for Pattern Recognition

Ah Chung Tsoi, Franco Scarselli, Markus Hagenbuchner, 2004, SSPR/SPR.

Document Mining Using Graph Neural Network

Ah Chung Tsoi, Franco Scarselli, Markus Hagenbuchner, 2006, INEX.

Clustering XML Documents Using Self-organizing Maps for Structures

Ah Chung Tsoi, Franco Scarselli, Markus Hagenbuchner, 2005, INEX.

Ranking Web Pages Using Machine Learning Approaches

Ah Chung Tsoi, Markus Hagenbuchner, Sweah Liang Yong, 2008, 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

Ranking Attack Graphs with Graph Neural Networks

Ah Chung Tsoi, Markus Hagenbuchner, Reihaneh Safavi-Naini, 2009, ISPEC.

Automated functional testing of online search services

Tsong Yueh Chen, Markus Hagenbuchner, Shujia Zhang, 2012, Softw. Test. Verification Reliab..

Web Spam Detection by Probability Mapping GraphSOMs and Graph Neural Networks

Ah Chung Tsoi, Franco Scarselli, Markus Hagenbuchner, 2010, ICANN.

Adaptive ranking of web pages

Ah Chung Tsoi, Franco Scarselli, Markus Hagenbuchner, 2003, WWW '03.

Sentence Extraction by Graph Neural Networks

Ah Chung Tsoi, Franco Scarselli, Markus Hagenbuchner, 2010, ICANN.

A Simple Focused Crawler

Ah Chung Tsoi, Franco Scarselli, Markus Hagenbuchner, 2003, The Web Conference.