Markus Hagenbuchner

74 papers A* 1A 1B 12C 3Misc 1Journal 24Unranked 28

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Enhancing Robustness in Long-Tailed Image Classification with Angular Approaches and Balanced Learning. Data Sci. Eng. Din Muhammad Sangrasi, Lei Wang, Markus Hagenbuchner
2025	J	`jnl`	Investigating the effects of recursion in convolutional layers using analytical methods. Neurocomputing Johan Chagnon, Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli
2024	J	`jnl`	Higher Order Polynomial Transformer for Fine-Grained Freezing of Gait Detection. IEEE Trans. Neural Networks Learn. Syst. Renfei Sun, Kun Hu, Kaylena A. Ehgoetz Martens, Markus Hagenbuchner, Ah Chung Tsoi, Mohammed Bennamoun, Simon J. G. Lewis, Zhiyong Wang
2024	J	`jnl`	On the effects of recursive convolutional layers in convolutional neural networks. Neurocomputing Johan Chagnon, Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli
2023	B	`conf`	Embedding the Self-Organisation of Deep Feature Maps in the Hamburger Framework can Yield Better and Interpretable Results. IJCNN Jack Humphreys, Markus Hagenbuchner, Zhiyong Wang, Ah Chung Tsoi
2023	—	`conf`	Exploring the Role of Recursive Convolutional Layer in Generative Adversarial Networks. ICANN (5) Barbara Toniella Corradini, Paolo Andreini, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi
2023	B	`conf`	Going Deeper with Recursive Convolutional Layers. IJCNN Johan Chagnon, Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli
2023	J	`jnl`	Graph Fusion Network-Based Multimodal Learning for Freezing of Gait Detection. IEEE Trans. Neural Networks Learn. Syst. Kun Hu, Zhiyong Wang, Kaylena A. Ehgoetz Martens, Markus Hagenbuchner, Mohammed Bennamoun, Ah Chung Tsoi, Simon J. G. Lewis
2023	Misc	`conf`	Mitigating the Adverse Effects of Long-Tailed Data on Deep Learning Models. AusDM Din Muhammad Sangrasi, Lei Wang, Markus Hagenbuchner, Peng Wang
2022	A	`conf`	Sign Language Translation with Hierarchical Spatio-Temporal Graph Neural Network. WACV Jichao Kan, Kun Hu, Markus Hagenbuchner, Ah Chung Tsoi, Mohammed Bennamoun, Zhiyong Wang
2021	J	`jnl`	A Study on the effects of recursive convolutional layers in convolutional neural networks. Neurocomputing Alberto Rossi, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi
2021	J	`jnl`	Sign Language Translation with Hierarchical Spatio-TemporalGraph Neural Network. CoRR Jichao Kan, Kun Hu, Markus Hagenbuchner, Ah Chung Tsoi, Mohammed Bennamoun, Zhiyong Wang
2021	—	`conf`	Topic-Guided Local-Global Graph Neural Network For Image Captioning. ICME Workshops Jichao Kan, Kun Hu, Zhiyong Wang, Qiuxia Wu, Markus Hagenbuchner, Ah Chung Tsoi
2020	B	`conf`	Embedding of FRPN in CNN architecture. ESANN Alberto Rossi, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi
2020	J	`jnl`	Embedding of FRPN in CNN architecture. CoRR Alberto Rossi, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi
2018	J	`jnl`	Breast cancer data analysis for survivability studies and prediction. Comput. Methods Programs Biomed. Nagesh Shukla, Markus Hagenbuchner, Khin Than Win, Jie (Jack) Yang
2018	J	`jnl`	High-resolution Self-Organizing Maps for advanced visualization and dimension reduction. Neural Networks Ayu Saraswati, Van Tuc Nguyen, Markus Hagenbuchner, Ah Chung Tsoi
2018	J	`jnl`	The Vapnik-Chervonenkis dimension of graph and recursive neural networks. Neural Networks Franco Scarselli, Ah Chung Tsoi, Markus Hagenbuchner
2017	—	`conf`	A fully recursive perceptron network architecture. SSCI Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli, Shujia Zhang
2016	—	`conf`	High Resolution SOM Approach to Improving Anomaly Detection in Intrusion Detection Systems. Australasian Conference on Artificial Intelligence Ayu Saraswati, Markus Hagenbuchner, Zhi Quan Zhou
2016	—	`conf`	High Resolution Self-organizing Maps. Australasian Conference on Artificial Intelligence Van Tuc Nguyen, Markus Hagenbuchner, Ah Chung Tsoi
2014	J	`jnl`	Spectral embedding based facial expression recognition with multiple features. Neurocomputing Kaimin Yu, Zhiyong Wang, Markus Hagenbuchner, David Dagan Feng
2013	B	`conf`	Cost-sensitive cascade graph neural networks. ESANN Van Tuc Nguyen, Ah Chung Tsoi, Markus Hagenbuchner
2013	—	`ch.`	Learning Structural Representations of Text Documents in Large Document Collections. Handbook on Neural Information Processing Ah Chung Tsoi, Markus Hagenbuchner, Milly Kc, Shujia Zhang
2013	J	`jnl`	Solving graph data issues using a layered architecture approach with applications to web spam detection. Neural Networks Franco Scarselli, Ah Chung Tsoi, Markus Hagenbuchner, Lucia Di Noi
2012	J	`jnl`	Automated functional testing of online search services. Softw. Test. Verification Reliab. Zhi Quan Zhou, Shujia Zhang, Markus Hagenbuchner, T. H. Tse, Fei-Ching Kuo, Tsong Yueh Chen
2011	B	`conf`	Sparsity Issues in Self-Organizing-Maps for Structures. ESANN Markus Hagenbuchner, Giovanni Da San Martino, Ah Chung Tsoi, Alessandro Sperduti
2010	—	`conf`	Recognition of Sequences of Graphical Patterns. ANNPR Edmondo Trentin, Shujia Zhang, Markus Hagenbuchner
2010	—	`conf`	Sentence Extraction by Graph Neural Networks. ICANN (3) Donatella Muratore, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi
2010	—	`conf`	Web Spam Detection by Probability Mapping GraphSOMs and Graph Neural Networks. ICANN (2) Lucia Di Noi, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi
2009	—	`conf`	A ConceptLink Graph for Text Structure Mining. ACSC Rowena Chau, Ah Chung Tsoi, Markus Hagenbuchner, Vincent C. S. Lee
2009	—	`conf`	A Machine Learning Approach to Link Prediction for Interlinked Documents. INEX Milly Kc, Rowena Chau, Markus Hagenbuchner, Ah Chung Tsoi, Vincent C. S. Lee
2009	J	`jnl`	Computational Capabilities of Graph Neural Networks. IEEE Trans. Neural Networks Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner, Gabriele Monfardini
2009	J	`jnl`	Graph self-organizing maps for cyclic and unbounded graphs. Neurocomputing Markus Hagenbuchner, Alessandro Sperduti, Ah Chung Tsoi
2009	J	`jnl`	Learning Nonsparse Kernels by Self-Organizing Maps for Structured Data. IEEE Trans. Neural Networks Fabio Aiolli, Giovanni Da San Martino, Markus Hagenbuchner, Alessandro Sperduti
2009	B	`conf`	Projection of undirected and non-positional graphs using Self Organizing Maps. ESANN Markus Hagenbuchner, Shujia Zhang, Ah Chung Tsoi, Alessandro Sperduti
2009	C	`conf`	Ranking Attack Graphs with Graph Neural Networks. ISPEC Liang Lu, Reihaneh Safavi-Naini, Markus Hagenbuchner, Willy Susilo, Jeffrey Horton, Sweah Liang Yong, Ah Chung Tsoi
2009	—	`ch.`	Self-Organizing Maps for Structured Domains: Theory, Models, and Learning of Kernels. Innovations in Neural Information Paradigms and Applications Fabio Aiolli, Giovanni Da San Martino, Markus Hagenbuchner, Alessandro Sperduti
2009	—	`conf`	Supervised Encoding of Graph-of-Graphs for Classification and Regression Problems. INEX Shujia Zhang, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi
2009	J	`jnl`	The Graph Neural Network Model. IEEE Trans. Neural Networks Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner, Gabriele Monfardini
2009	—	`ch.`	Unsupervised and Supervised Learning of Graph Domains. Innovations in Neural Information Paradigms and Applications Ah Chung Tsoi, Markus Hagenbuchner, Rowena Chau, Vincent C. S. Lee
2008	—	`conf`	A Scalable Lightweight Distributed Crawler for Crawling with Limited Resources. Web Intelligence/IAT Workshops Milly Kc, Markus Hagenbuchner, Ah Chung Tsoi
2008	—	`conf`	Quality Information Retrieval for the World Wide Web. Web Intelligence Milly Kc, Markus Hagenbuchner, Ah Chung Tsoi
2008	—	`conf`	Ranking Web Pages Using Machine Learning Approaches. Web Intelligence/IAT Workshops Sweah Liang Yong, Markus Hagenbuchner, Ah Chung Tsoi
2008	—	`conf`	Self Organizing Maps for the Clustering of Large Sets of Labeled Graphs. INEX Shujia Zhang, Markus Hagenbuchner, Ah Chung Tsoi, Alessandro Sperduti
2008	B	`conf`	Self-Organizing Maps for cyclic and unbounded graphs. ESANN Markus Hagenbuchner, Alessandro Sperduti, Ah Chung Tsoi
2007	B	`conf`	"Kernelized" Self-Organizing Maps for Structured Data. ESANN Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti, Markus Hagenbuchner
2007	—	`conf`	Efficient Clustering of Structured Documents Using Graph Self-Organizing Maps. INEX Markus Hagenbuchner, Ah Chung Tsoi, Alessandro Sperduti, Milly Kc
2006	B	`conf`	A Self-Organising Map Approach for Clustering of XML Documents. IJCNN Francesca Trentini, Markus Hagenbuchner, Alessandro Sperduti, Franco Scarselli
2006	J	`jnl`	Computing customized page ranks. ACM Trans. Internet Techn. Ah Chung Tsoi, Markus Hagenbuchner, Franco Scarselli
2006	—	`conf`	Document Mining Using Graph Neural Network. INEX Sweah Liang Yong, Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli, Marco Gori
2006	—	`ch.`	Hierarchical Hidden Markov Models: An Application to Health Insurance Data. Selected Papers from AusDM Ah Chung Tsoi, Shu Zhang, Markus Hagenbuchner
2006	C	`conf`	Self-organising Map Techniques for Graph Data Applications to Clustering of XML Documents. ADMA Ah Chung Tsoi, Markus Hagenbuchner, Alessandro Sperduti
2006	—	`conf`	XML Document Mining Using Contextual Self-organizing Maps for Structures. INEX Milly Kc, Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli, Alessandro Sperduti, Marco Gori
2005	C	`conf`	A Neural Network Approach to Web Graph Processing. APWeb Ah Chung Tsoi, Franco Scarselli, Marco Gori, Markus Hagenbuchner, Sweah Liang Yong
2005	J	`jnl`	A supervised training algorithm for self-organizing maps for structures. Pattern Recognit. Lett. Markus Hagenbuchner, Ah Chung Tsoi
2005	—	`conf`	Adaptive page ranking with neural networks. WWW (Special interest tracks and posters) Franco Scarselli, Sweah Liang Yong, Markus Hagenbuchner, Ah Chung Tsoi
2005	—	`conf`	Clustering XML Documents Using Self-organizing Maps for Structures. INEX Markus Hagenbuchner, Alessandro Sperduti, Ah Chung Tsoi, Francesca Trentini, Franco Scarselli, Marco Gori
2005	B	`conf`	Contextual Processing of Graphs using Self-Organizing Maps. ESANN Markus Hagenbuchner, Alessandro Sperduti, Ah Chung Tsoi
2005	—	`conf`	Graph Neural Networks for Ranking Web Pages. Web Intelligence Franco Scarselli, Sweah Liang Yong, Marco Gori, Markus Hagenbuchner, Ah Chung Tsoi, Marco Maggini
2005	J	`jnl`	Pattern Discovery on Australian Medical Claims Data-A Systematic Approach. IEEE Trans. Knowl. Data Eng. Ah Chung Tsoi, Shu Zhang, Markus Hagenbuchner
2005	—	`conf`	The WT10G dataset and the evolution of the web. WWW (Special interest tracks and posters) Wei-Tsen Milly Chiang, Markus Hagenbuchner, Ah Chung Tsoi
2004	B	`conf`	A supervised self-organizing map for structures. IJCNN Markus Hagenbuchner, Ah Chung Tsoi
2004	—	`conf`	Computing personalized pageranks. WWW (Alternate Track Papers & Posters) Franco Scarselli, Ah Chung Tsoi, Markus Hagenbuchner
2004	—	`conf`	Graphical-Based Learning Environments for Pattern Recognition. SSPR/SPR Franco Scarselli, Ah Chung Tsoi, Marco Gori, Markus Hagenbuchner
2003	—	`conf`	A Simple Focused Crawler. WWW (Posters) Ah Chung Tsoi, Daniele Frosali, Marco Gori, Markus Hagenbuchner, Franco Scarselli
2003	J	`jnl`	A self-organizing map for adaptive processing of structured data. IEEE Trans. Neural Networks Markus Hagenbuchner, Alessandro Sperduti, Ah Chung Tsoi
2003	A*	`conf`	Adaptive ranking of web pages. WWW Ah Chung Tsoi, Gianni Morini, Franco Scarselli, Markus Hagenbuchner, Marco Maggini
2003	J	`jnl`	Using attributed plex grammars for the generation of image and graph databases. Pattern Recognit. Lett. Markus Hagenbuchner, Marco Gori, Horst Bunke, Ah Chung Tsoi, Christophe Irniger
2001	—	`conf`	A Supervised Self-Organizing Map for Structured Data. WSOM Markus Hagenbuchner, Ah Chung Tsoi, Alessandro Sperduti
2000	—	`conf`	Building MLP Networks by Construction. IJCNN (4) Ah Chung Tsoi, Markus Hagenbuchner, Alessio Micheli
1999	—	`conf`	A Hierarchical Neural Object Classifier for Subsymbolic-Symbolic Coupling. DAGM-Symposium Hans A. Kestler, Steffen Simon, Axel Baune, Markus Hagenbuchner, Friedhelm Schwenker, Günther Palm
1999	B	`conf`	A benchmark for testing adaptive systems on structured data. ESANN Markus Hagenbuchner, Ah Chung Tsoi
1997	J	`jnl`	Noise Removal in Ionograms by Neural Network. Neural Comput. Appl. Markus Hagenbuchner, John Fulcher