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ORCIDSimon Y. Foo
Person information
- affiliation: Florida State University, Tallahassee, FL, USA
Other persons with the same name
- Simon Foo — disambiguation page
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Journal Articles
- 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) - [j23]Jobeda Jamal Khanam, Simon Y. Foo:
A comparison of machine learning algorithms for diabetes prediction. ICT Express 7(4): 432-439 (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) - 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
- [j15]Ming Yu, Aniket Malvankar, Wei Su, Simon Y. Foo:
A link availability-based QoS-aware routing protocol for mobile ad hoc sensor networks. Comput. Commun. 30(18): 3823-3831 (2007) - [j14]Adam J. Rocke, Ronald F. DeMara, Simon Foo:
Evaluation of Distributed File Integrity Analyzers in the Presence of Tampering. Int. J. Netw. Secur. 5(1): 21-31 (2007) - [j13]Mark H. Weatherspoon, Hector A. Martinez, Diego Langoni, Simon Y. Foo:
Small-Signal Modeling of Microwave MESFETs Using RBF-ANNs. IEEE Trans. Instrum. Meas. 56(5): 2067-2072 (2007) - 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) - [j10]Diego Langoni, Mark H. Weatherspoon, Simon Y. Foo, Hector A. Martinez:
A speed and accuracy test of backpropagation and RBF neural networks for small-signal models of active devices. Eng. Appl. Artif. Intell. 19(8): 883-890 (2006) - 2005
- [j9]Kaijam M. Woodley, Hui (Helen) Li, Simon Y. Foo:
Neural network modeling of torque estimation and d-q transformation for induction machine. Eng. Appl. Artif. Intell. 18(1): 57-63 (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) - 2000
- [j5]Simon Y. Foo:
A fuzzy logic approach to fire detection in aircraft dry bays and engine compartments. IEEE Trans. Ind. Electron. 47(5): 1161-1171 (2000) - 1996
- [j4]Simon Y. Foo:
A rule-based machine vision system for fire detection in aircraft dry bays and engine compartments. Knowl. Based Syst. 9(8): 531-540 (1996) - 1995
- [j3]Simon Y. Foo, Yoshiyasu Takefuji, Harold Szu:
Scaling properties of neural networks for job-shop scheduling. Neurocomputing 8(1): 79-91 (1995) - [j2]Harold Szu, Simon Y. Foo:
Divide and conquer orthogonality principle for parallel optimizations in TSP. Neurocomputing 8(3): 249-261 (1995) - 1990
- [j1]Simon Y. Foo, Yoshiyasu Takefuji:
Databases and Cell-Selection Algorithms for VLSI Cell Libraries. Computer 23(2): 18-30 (1990)
Conference and Workshop Papers
- 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 - 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
- [c5]Ming Yu, Aniket Malvankar, Simon Y. Foo:
An Energy-Efficient Path Availability Routing Algorithm For Mobile Ad Hoc Sensor Networks. ICC 2006: 1885-1890 - 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
Coauthor Index
aka: Anke Meyer-Baese
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