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Simon Y. Foo
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Publications
- 2024
- [j26]Ayodeji S. Ogundana, Pranaya K. Terala, Migara Y. Amarasinghe, Xuanchen Xiang, Simon Y. Foo:
Electric Vehicle Battery State of Charge Estimation With an Ensemble Algorithm Using Central Difference Kalman Filter (CDKF) and Non-Linear Autoregressive With Exogenous Input (NARX). IEEE Access 12: 33705-33719 (2024) - [j25]Xuanchen Xiang, Ruisheng Diao, Shonda Bernadin, Simon Y. Foo, Fangyuan Sun, Ayodeji S. Ogundana:
An Intelligent Parameter Identification Method of DFIG Systems Using Hybrid Particle Swarm Optimization and Reinforcement Learning. IEEE Access 12: 44080-44090 (2024) - 2021
- [j24]Huanyu Zang, Simon Y. Foo, Shonda Bernadin, Anke Meyer-Baese:
Facial Emotion Recognition Using Asymmetric Pyramidal Networks With Gradient Centralization. IEEE Access 9: 64487-64498 (2021) - [j22]Xuanchen Xiang, Simon Foo:
Recent Advances in Deep Reinforcement Learning Applications for Solving Partially Observable Markov Decision Processes (POMDP) Problems: Part 1 - Fundamentals and Applications in Games, Robotics and Natural Language Processing. Mach. Learn. Knowl. Extr. 3(3): 554-581 (2021) - [j21]Xuanchen Xiang, Simon Y. Foo, Huanyu Zang:
Recent Advances in Deep Reinforcement Learning Applications for Solving Partially Observable Markov Decision Processes (POMDP) Problems Part 2 - Applications in Transportation, Industries, Communications and Networking and More Topics. Mach. Learn. Knowl. Extr. 3(4): 863-878 (2021) - 2019
- [j20]Anke Meyer-Bäse, Ali Moradi Amani, Uwe Meyer-Bäse, Simon Foo, Andreas Stadlbauer, W. Yu:
Pinning observability of competitive neural networks with different time-constants. Neurocomputing 329: 97-102 (2019) - 2018
- [j19]Amirhessam Tahmassebi, Amir H. Gandomi, Mieke H. J. Schulte, Anna E. Goudriaan, Simon Y. Foo, Anke Meyer-Baese:
Optimized Naive-Bayes and Decision Tree Approaches for fMRI Smoking Cessation Classification. Complex. 2018: 2740817:1-2740817:24 (2018) - [j18]Jonathan Martínez Padilla, Uwe Meyer-Baese, Simon Foo:
Security evaluation of Tree Parity Re-keying Machine implementations utilizing side-channel emissions. EURASIP J. Inf. Secur. 2018: 3 (2018) - [c10]Ignacio A. Illán, J. Perez Matos, Javier Ramírez, Juan Manuel Górriz, Simon Y. Foo, Anke Meyer-Baese:
3D Gabor Filters for Chest Segmentation in DCE-MRI. HAIS 2018: 446-454 - 2009
- [j17]Peter Gruber, Anke Meyer-Bäse, Simon Y. Foo, Fabian J. Theis:
ICA, kernel methods and nonnegativity: New paradigms for dynamical component analysis of fMRI data. Eng. Appl. Artif. Intell. 22(4-5): 497-504 (2009) - 2008
- [j16]Thorsten Twellmann, Anke Meyer-Bäse, Oliver Lange, Simon Y. Foo, Tim W. Nattkemper:
Model-free visualization of suspicious lesions in breast MRI based on supervised and unsupervised learning. Eng. Appl. Artif. Intell. 21(2): 129-140 (2008) - 2007
- [c9]Jason C. Isaacs, Simon Y. Foo, Anke Meyer-Bäse:
Enhanced prediction of protein cellular localization sites with genetic algorithm optimal kernel projection analysis. IEEE Congress on Evolutionary Computation 2007: 1429-1435 - [c8]Jason C. Isaacs, Simon Y. Foo, Anke Meyer-Bäse:
Novel Kernels and Kernel PCA for Pattern Recognition. CIRA 2007: 438-443 - [c7]Jason C. Isaacs, Simon Y. Foo, Anke Meyer-Bäse:
Evolutionary computation-based kernel optimal component analysis for pattern recognition. GECCO 2007: 2258 - [c6]Jason C. Isaacs, Simon Y. Foo, Anke Meyer-Bäse:
A performance analysis of lattice oscilation model kernels and KPCA. SMC 2007: 1608-1611 - 2006
- [j12]Oliver Lange, Anke Meyer-Baese, Monica K. Hurdal, Simon Y. Foo:
A comparison between neural and fuzzy cluster analysis techniques for functional MRI. Biomed. Signal Process. Control. 1(3): 243-252 (2006) - [j11]Anke Meyer-Bäse, Peter Gruber, Fabian J. Theis, Simon Y. Foo:
Blind source separation based on self-organizing neural network. Eng. Appl. Artif. Intell. 19(3): 305-311 (2006) - 2005
- [j8]Anke Meyer-Bäse, Karsten Jancke, Axel Wismüller, Simon Foo, Thomas Martinetz:
Medical image compression using topology-preserving neural networks. Eng. Appl. Artif. Intell. 18(4): 383-392 (2005) - 2004
- [j7]Anke Meyer-Bäse, Sergei S. Pilyugin, Axel Wismüller, Simon Foo:
Local exponential stability of competitive neural networks with different time scales. Eng. Appl. Artif. Intell. 17(3): 227-232 (2004) - [j6]Jason C. Isaacs, Robert K. Watkins, Simon Y. Foo:
Evolvable characteristic-based pseudo random number generation. Eng. Appl. Artif. Intell. 17(5): 485-489 (2004) - [c4]Geoffrey Wall, Faizal Iqbal, Jason C. Isaacs, Xiuwen Liu, Simon Y. Foo:
Real Time Texture Classification using Field Programmable Gate Arrays. AIPR 2004: 130-135 - [c3]Jason C. Isaacs, Simon Y. Foo:
Optimized wavelet hand pose estimation for American sign language recognition. IEEE Congress on Evolutionary Computation 2004: 797-802 - 2003
- [c2]Jason C. Isaacs, Robert K. Watkins, Simon Y. Foo:
Field Programmable Gate Array Implementations of Cellular Automata for Pseudo-Random Number Generation. PDPTA 2003: 1957-1963 - 2002
- [c1]Jason C. Isaacs, Robert K. Watkins, Simon Y. Foo:
Evolving ant colony systems in hardware for random number generation. IEEE Congress on Evolutionary Computation 2002: 1450-1455
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last updated on 2024-04-25 05:53 CEST by the dblp team
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