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ORCIDAh Chung Tsoi
- > Home > Persons > Ah Chung Tsoi
Publications
- 2024
[j63]Johan Chagnon
, Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli:
On the effects of recursive convolutional layers in convolutional neural networks. Neurocomputing 591: 127767 (2024)- [j62]Renfei Sun, Kun Hu, Kaylena A. Ehgoetz Martens, Markus Hagenbuchner, Ah Chung Tsoi, Mohammed Bennamoun, Simon J. G. Lewis, Zhiyong Wang:
Higher Order Polynomial Transformer for Fine-Grained Freezing of Gait Detection. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12746-12759 (2024) - 2023
- [j61]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): 1588-1600 (2023) - [c70]Johan Chagnon, Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli:
Going Deeper with Recursive Convolutional Layers. IJCNN 2023: 1-8 - [c69]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: 1-8 - 2022
- [c68]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: 2131-2140 - 2021
- [j60]Alberto Rossi, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi:
A Study on the effects of recursive convolutional layers in convolutional neural networks. Neurocomputing 460: 59-70 (2021) - [c67]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: 1-6 - [i5]Jichao Kan, Kun Hu, Markus Hagenbuchner, Ah Chung Tsoi, Mohammed Bennamoun, Zhiyong Wang:
Sign Language Translation with Hierarchical Spatio-TemporalGraph Neural Network. CoRR abs/2111.07258 (2021) - 2020
- [c66]Alberto Rossi, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi:
Embedding of FRPN in CNN architecture. ESANN 2020: 133-138 - [i4]Alberto Rossi, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi:
Embedding of FRPN in CNN architecture. CoRR abs/2001.05851 (2020) - 2019
- [c65]Miao Cheng, Weibin Yang, Yonggang Li, Shichao Zhang, Ah Chung Tsoi, Yuan Yan Tang:
Sequential Pattern Learning via Kernel Alignment. ICACI 2019: 50-55 - 2018
- [j57]Ayu Saraswati, Van Tuc Nguyen, Markus Hagenbuchner, Ah Chung Tsoi:
High-resolution Self-Organizing Maps for advanced visualization and dimension reduction. Neural Networks 105: 166-184 (2018) - [j56]Franco Scarselli, Ah Chung Tsoi, Markus Hagenbuchner:
The Vapnik-Chervonenkis dimension of graph and recursive neural networks. Neural Networks 108: 248-259 (2018) - [c64]Mingyang Ma, Shaohui Mei, Shuai Wan, Zhiyong Wang, Ah Chung Tsoi, Dagan Feng:
Video Summarization via Weighted Neighborhood Based Representation. ICIP 2018: 1273-1277 - [c63]Miao Cheng, Zunren Liu, Hongwei Zou, Ah Chung Tsoi:
A Family of Maximum Margin Criterion for Adaptive Learning. ICONIP (3) 2018: 375-387 - [i3]Miao Cheng, Zunren Liu, Hongwei Zou, Ah Chung Tsoi:
A Family of Maximum Margin Criterion for Adaptive Learning. CoRR abs/1810.04064 (2018) - [i2]Miao Cheng, Ah Chung Tsoi:
CRH: A Simple Benchmark Approach to Continuous Hashing. CoRR abs/1810.05730 (2018) - 2017
- [j55]Miao Cheng, Ah Chung Tsoi:
Fractal dimension pattern-based multiresolution analysis for rough estimator of speaker-dependent audio emotion recognition. Int. J. Wavelets Multiresolution Inf. Process. 15(5): 1750042:1-1750042:17 (2017) - [c61]Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli, Shujia Zhang:
A fully recursive perceptron network architecture. SSCI 2017: 1-8 - 2016
- [j54]Jun Guo, Mischa Dohler, Whoi-Yul Kim, Ah Chung Tsoi, Kan Zheng:
Mobile big data [Guest editorial]. IEEE Netw. 30(3): 4-5 (2016) - [j53]Fredro Harjanto, Zhiyong Wang, Shiyang Lu, Ah Chung Tsoi, David Dagan Feng:
Investigating the impact of frame rate towards robust human action recognition. Signal Process. 124: 220-232 (2016) - [j52]Zhe Xu, Zhibin Hong, Ya Zhang, Junjie Wu, Ah Chung Tsoi, Dacheng Tao:
Multinomial Latent Logistic Regression for Image Understanding. IEEE Trans. Image Process. 25(2): 973-987 (2016) - [c60]Van Tuc Nguyen, Markus Hagenbuchner, Ah Chung Tsoi:
High Resolution Self-organizing Maps. Australasian Conference on Artificial Intelligence 2016: 441-454 - [i1]Miao Cheng, Ah Chung Tsoi:
Adaptive Training of Random Mapping for Data Quantization. CoRR abs/1606.08808 (2016) - 2015
- [j51]Yinting Wang, Mingli Song, Dacheng Tao, Yong Rui, Jiajun Bu, Ah Chung Tsoi, Shaojie Zhuo, Ping Tan:
Where2Stand: A Human Position Recommendation System for Souvenir Photography. ACM Trans. Intell. Syst. Technol. 7(1): 9:1-9:22 (2015) - [c58]Miao Cheng, Ah Chung Tsoi:
CRH: A simple benchmark approach to continuous hashing. GlobalSIP 2015: 1076-1080 - 2014
- [c56]Zhe Xu, Dacheng Tao, Ya Zhang, Junjie Wu, Ah Chung Tsoi:
Architectural Style Classification Using Multinomial Latent Logistic Regression. ECCV (1) 2014: 600-615 - [c55]James Charters, Zhiyong Wang, Zheru Chi, Ah Chung Tsoi, David Dagan Feng:
EAGLE: A novel descriptor for identifying plant species using leaf lamina vascular features. ICME Workshops 2014: 1-6 - 2013
- [j50]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: 78-90 (2013) - [c51]Van Tuc Nguyen, Ah Chung Tsoi, Markus Hagenbuchner:
Cost-sensitive cascade graph neural networks. ESANN 2013 - [p5]Ah Chung Tsoi, Markus Hagenbuchner, Milly Kc, Shujia Zhang:
Learning Structural Representations of Text Documents in Large Document Collections. Handbook on Neural Information Processing 2013: 471-503 - 2012
- [p4]Steve Lawrence, Ian Burns, Andrew D. Back, Ah Chung Tsoi, C. Lee Giles:
Neural Network Classification and Prior Class Probabilities. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 295-309 - 2011
- [c50]Markus Hagenbuchner, Giovanni Da San Martino, Ah Chung Tsoi, Alessandro Sperduti:
Sparsity Issues in Self-Organizing-Maps for Structures. ESANN 2011 - 2010
- [c49]Donatella Muratore, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi:
Sentence Extraction by Graph Neural Networks. ICANN (3) 2010: 237-246 - [c48]Lucia Di Noi, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi:
Web Spam Detection by Probability Mapping GraphSOMs and Graph Neural Networks. ICANN (2) 2010: 372-381 - 2009
- [j49]Markus Hagenbuchner, Alessandro Sperduti, Ah Chung Tsoi:
Graph self-organizing maps for cyclic and unbounded graphs. Neurocomputing 72(7-9): 1419-1430 (2009) - [j48]Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner, Gabriele Monfardini:
The Graph Neural Network Model. IEEE Trans. Neural Networks 20(1): 61-80 (2009) - [j47]Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner, Gabriele Monfardini:
Computational Capabilities of Graph Neural Networks. IEEE Trans. Neural Networks 20(1): 81-102 (2009) - [c47]Rowena Chau, Ah Chung Tsoi, Markus Hagenbuchner, Vincent C. S. Lee:
A ConceptLink Graph for Text Structure Mining. ACSC 2009: 129-137 - [c46]Markus Hagenbuchner, Shujia Zhang, Ah Chung Tsoi, Alessandro Sperduti:
Projection of undirected and non-positional graphs using Self Organizing Maps. ESANN 2009 - [c45]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: 342-354 - [c44]Shujia Zhang, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi:
Supervised Encoding of Graph-of-Graphs for Classification and Regression Problems. INEX 2009: 449-461 - [c43]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: 345-359 - [p3]Ah Chung Tsoi, Markus Hagenbuchner, Rowena Chau, Vincent C. S. Lee:
Unsupervised and Supervised Learning of Graph Domains. Innovations in Neural Information Paradigms and Applications 2009: 43-65 - 2008
- [c42]Markus Hagenbuchner, Alessandro Sperduti, Ah Chung Tsoi:
Self-Organizing Maps for cyclic and unbounded graphs. ESANN 2008: 203-208 - [c41]Milly Kc, Markus Hagenbuchner, Ah Chung Tsoi:
A Scalable Lightweight Distributed Crawler for Crawling with Limited Resources. Web Intelligence/IAT Workshops 2008: 663-666 - [c40]Sweah Liang Yong, Markus Hagenbuchner, Ah Chung Tsoi:
Ranking Web Pages Using Machine Learning Approaches. Web Intelligence/IAT Workshops 2008: 677-680 - [c39]Shujia Zhang, Markus Hagenbuchner, Ah Chung Tsoi, Alessandro Sperduti:
Self Organizing Maps for the Clustering of Large Sets of Labeled Graphs. INEX 2008: 469-481 - [c38]Milly Kc, Markus Hagenbuchner, Ah Chung Tsoi:
Quality Information Retrieval for the World Wide Web. Web Intelligence 2008: 655-661 - 2007
- [c37]Markus Hagenbuchner, Ah Chung Tsoi, Alessandro Sperduti, Milly Kc:
Efficient Clustering of Structured Documents Using Graph Self-Organizing Maps. INEX 2007: 207-221 - 2006
- [j39]Ah Chung Tsoi, Markus Hagenbuchner, Franco Scarselli:
Computing customized page ranks. ACM Trans. Internet Techn. 6(4): 381-414 (2006) - [c35]Ah Chung Tsoi, Markus Hagenbuchner, Alessandro Sperduti:
Self-organising Map Techniques for Graph Data Applications to Clustering of XML Documents. ADMA 2006: 19-30 - [c33]Sweah Liang Yong, Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli, Marco Gori:
Document Mining Using Graph Neural Network. INEX 2006: 458-472 - [c32]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: 510-524 - [p2]Ah Chung Tsoi, Shu Zhang, Markus Hagenbuchner:
Hierarchical Hidden Markov Models: An Application to Health Insurance Data. Selected Papers from AusDM 2006: 244-259 - 2005
- [j38]Markus Hagenbuchner, Ah Chung Tsoi:
A supervised training algorithm for self-organizing maps for structures. Pattern Recognit. Lett. 26(12): 1874-1884 (2005) - [j37]Ah Chung Tsoi, Shu Zhang, Markus Hagenbuchner:
Pattern Discovery on Australian Medical Claims Data-A Systematic Approach. IEEE Trans. Knowl. Data Eng. 17(10): 1420-1435 (2005) - [j36]Alistair Shilton, Marimuthu Palaniswami, Daniel Ralph, Ah Chung Tsoi:
Incremental training of support vector machines. IEEE Trans. Neural Networks 16(1): 114-131 (2005) - [c31]Ah Chung Tsoi, Franco Scarselli, Marco Gori, Markus Hagenbuchner, Sweah Liang Yong:
A Neural Network Approach to Web Graph Processing. APWeb 2005: 27-38 - [c30]Markus Hagenbuchner, Alessandro Sperduti, Ah Chung Tsoi:
Contextual Processing of Graphs using Self-Organizing Maps. ESANN 2005: 399-404 - [c29]Markus Hagenbuchner, Alessandro Sperduti, Ah Chung Tsoi, Francesca Trentini, Franco Scarselli, Marco Gori:
Clustering XML Documents Using Self-organizing Maps for Structures. INEX 2005: 481-496 - [c28]Franco Scarselli, Sweah Liang Yong, Marco Gori, Markus Hagenbuchner, Ah Chung Tsoi, Marco Maggini:
Graph Neural Networks for Ranking Web Pages. Web Intelligence 2005: 666-672 - [c27]Franco Scarselli, Sweah Liang Yong, Markus Hagenbuchner, Ah Chung Tsoi:
Adaptive page ranking with neural networks. WWW (Special interest tracks and posters) 2005: 936-937 - [c26]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: 938-939 - 2004
- [c24]Franco Scarselli, Ah Chung Tsoi, Marco Gori, Markus Hagenbuchner:
Graphical-Based Learning Environments for Pattern Recognition. SSPR/SPR 2004: 42-56 - [c23]Franco Scarselli, Ah Chung Tsoi, Markus Hagenbuchner:
Computing personalized pageranks. WWW (Alternate Track Papers & Posters) 2004: 382-383 - 2003
- [j35]Zhiyong Wang, Zheru Chi, David Dagan Feng, Ah Chung Tsoi:
Content-Based Image Retrieval with Relevance Feedback Using Adaptive Processing of Tree-Structure Image Representation. Int. J. Image Graph. 3(1): 119-144 (2003) - [j34]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): 1081-1087 (2003) - [j33]Markus Hagenbuchner, Alessandro Sperduti, Ah Chung Tsoi:
A self-organizing map for adaptive processing of structured data. IEEE Trans. Neural Networks 14(3): 491-505 (2003) - [j32]Siu-Yeung Cho, Zheru Chi, Wan-Chi Siu, Ah Chung Tsoi:
An improved algorithm for learning long-term dependency problems in adaptive processing of data structures. IEEE Trans. Neural Networks 14(4): 781-793 (2003) - [c22]Michelangelo Diligenti, Marco Gori, Marco Maggini, Franco Scarselli, Ah Chung Tsoi:
An introduction to learning in web domains. ESANN 2003: 1-8 - [c19]Ah Chung Tsoi, Daniele Frosali, Marco Gori, Markus Hagenbuchner, Franco Scarselli:
A Simple Focused Crawler. WWW (Posters) 2003 - [c18]Ah Chung Tsoi, Gianni Morini, Franco Scarselli, Markus Hagenbuchner, Marco Maggini:
Adaptive ranking of web pages. WWW 2003: 356-365 - 2001
- [j31]C. Lee Giles, Steve Lawrence, Ah Chung Tsoi:
Noisy Time Series Prediction using Recurrent Neural Networks and Grammatical Inference. Mach. Learn. 44(1/2): 161-183 (2001) - [j30]Ka Fai Cedric Yiu, Song Wang, Kok Lay Teo, Ah Chung Tsoi:
Nonlinear system modeling via knot-optimizing B-spline networks. IEEE Trans. Neural Networks 12(5): 1013-1022 (2001) - [c17]Markus Hagenbuchner, Ah Chung Tsoi, Alessandro Sperduti:
A Supervised Self-Organizing Map for Structured Data. WSOM 2001: 21-28 - 2000
- [c16]Ah Chung Tsoi, Markus Hagenbuchner, Alessio Micheli:
Building MLP Networks by Construction. IJCNN (4) 2000: 549-556 - 1999
- [j28]Andrew D. Back, Bill G. Horne, Ah Chung Tsoi, C. Lee Giles:
Alternative discrete-time operators: an algorithm for optimal selection of parameters. IEEE Trans. Signal Process. 47(9): 2612-2615 (1999) - [c15]Markus Hagenbuchner, Ah Chung Tsoi:
A benchmark for testing adaptive systems on structured data. ESANN 1999: 63-68 - 1998
- [j27]Andrew D. Back, Ah Chung Tsoi:
A Low Sensitivity Recurrent Neural Network. Neural Comput. 10(1): 165-188 (1998) - [j26]Franco Scarselli, Ah Chung Tsoi:
Universal Approximation Using Feedforward Neural Networks: A Survey of Some Existing Methods, and Some New Results. Neural Networks 11(1): 15-37 (1998) - [j25]Marco Gori, Ah Chung Tsoi:
Comments on local minima free conditions in multilayer perceptrons. IEEE Trans. Neural Networks 9(5): 1051-1053 (1998) - [j24]Marco Gori, Franco Scarselli, Ah Chung Tsoi:
On the closure of the set of functions that can be realized by a given multilayer perceptron. IEEE Trans. Neural Networks 9(6): 1086-1098 (1998) - 1997
- [j23]Ah Chung Tsoi, Andrew D. Back:
Discrete time recurrent neural network architectures: A unifying review. Neurocomputing 15(3-4): 183-223 (1997) - [j19]Steve Lawrence, C. Lee Giles, Ah Chung Tsoi, Andrew D. Back:
Face recognition: a convolutional neural-network approach. IEEE Trans. Neural Networks 8(1): 98-113 (1997) - [j17]Steve Lawrence, Andrew D. Back, Ah Chung Tsoi, C. Lee Giles:
On the distribution of performance from multiple neural-network trials. IEEE Trans. Neural Networks 8(6): 1507-1517 (1997) - [c14]Steve Lawrence, C. Lee Giles, Ah Chung Tsoi:
Lessons in Neural Network Training: Overfitting May be Harder than Expected. AAAI/IAAI 1997: 540-545 - [c13]C. Lee Giles, Steve Lawrence, Ah Chung Tsoi:
Rule inference for financial prediction using recurrent neural networks. CIFEr 1997: 253-259 - 1996
- [c10]Steve Lawrence, C. Lee Giles, Ah Chung Tsoi:
Convolutional Neural Networks for Face Recognition. CVPR 1996: 217-222 - [c9]Steve Lawrence, Ah Chung Tsoi, C. Lee Giles:
Local minima and generalization. ICNN 1996: 371-376 - [c8]Steve Lawrence, Ah Chung Tsoi, C. Lee Giles:
Correctness, efficiency, extendability and maintainability in neural network simulation. ICNN 1996: 474-479 - [c7]Marco Gori, Franco Scarselli, Ah Chung Tsoi:
Which classes of functions can a given multilayer perceptron approximate? ICNN 1996: 2226-2231 - [p1]Steve Lawrence, Ian Burns, Andrew D. Back, Ah Chung Tsoi, C. Lee Giles:
Neural Network Classification and Prior Class Probabilities. Neural Networks: Tricks of the Trade 1996: 299-313 - 1995
- [c6]Steve Lawrence, Ah Chung Tsoi, Andrew D. Back:
The Gamma MLP for Speech Phoneme Recognition. NIPS 1995: 785-791 - 1994
- [j9]Ah Chung Tsoi, Andrew D. Back:
Locally recurrent globally feedforward networks: a critical review of architectures. IEEE Trans. Neural Networks 5(2): 229-239 (1994) - [c5]Andrew D. Back, Ah Chung Tsoi:
A Comparison of Discrete-Time Operator Models and for Nonlinear System Identification. NIPS 1994: 883-890 - 1993
- [j6]Andrew D. Back, Ah Chung Tsoi:
A Simplified Gradient Algorithm for IIR Synapse Multilayer Perceptrons. Neural Comput. 5(3): 456-462 (1993) - 1992
- [j3]Andrew D. Back, Ah Chung Tsoi:
An Adaptive Lattice Architecture for Dynamic Multilayer Perceptrons. Neural Comput. 4(6): 922-931 (1992) - 1991
- [j2]Andrew D. Back, Ah Chung Tsoi:
FIR and IIR Synapses, a New Neural Network Architecture for Time Series Modeling. Neural Comput. 3(3): 375-385 (1991)
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