Simon Y. Foo

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 7

Top Topics

Learning Algorithm

Attribute Dependencies

Markov Decision Processes

Top Venues

Mach. Learn. Knowl. Extr.

Publications

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 (2024)
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 (2024)
Jobeda Jamal Khanam, Simon Y. Foo
A comparison of machine learning algorithms for diabetes prediction. ICT Express 7 (4) (2021)
Huanyu Zang, Simon Y. Foo, Shonda Bernadin, Anke Meyer-Baese
Facial Emotion Recognition Using Asymmetric Pyramidal Networks With Gradient Centralization. IEEE Access 9 (2021)
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) (2021)
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)
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 (2018)
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) (2009)
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) (2008)
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) (2007)
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)
Jason C. Isaacs, Simon Y. Foo, Anke Meyer-Bäse
Novel Kernels and Kernel PCA for Pattern Recognition. CIRA (2007)
Jason C. Isaacs, Simon Y. Foo, Anke Meyer-Bäse
A performance analysis of lattice oscilation model kernels and KPCA. SMC (2007)
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) (2007)
Jason C. Isaacs, Simon Y. Foo, Anke Meyer-Bäse
Evolutionary computation-based kernel optimal component analysis for pattern recognition. GECCO (2007)
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) (2006)
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) (2006)
Ming Yu, Aniket Malvankar, Simon Y. Foo
An Energy-Efficient Path Availability Routing Algorithm For Mobile Ad Hoc Sensor Networks. ICC (2006)
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) (2006)
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) (2005)
Geoffrey Wall, Faizal Iqbal, Jason C. Isaacs, Xiuwen Liu, Simon Y. Foo
Real Time Texture Classification using Field Programmable Gate Arrays. AIPR (2004)
Jason C. Isaacs, Robert K. Watkins, Simon Y. Foo
Evolvable characteristic-based pseudo random number generation. Eng. Appl. Artif. Intell. 17 (5) (2004)
Jason C. Isaacs, Simon Y. Foo
Optimized wavelet hand pose estimation for American sign language recognition. IEEE Congress on Evolutionary Computation (2004)
Jason C. Isaacs, Robert K. Watkins, Simon Y. Foo
Field Programmable Gate Array Implementations of Cellular Automata for Pseudo-Random Number Generation. PDPTA (2003)
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)
Simon Y. Foo
A fuzzy logic approach to fire detection in aircraft dry bays and engine compartments. IEEE Trans. Ind. Electron. 47 (5) (2000)
Simon Y. Foo
A rule-based machine vision system for fire detection in aircraft dry bays and engine compartments. Knowl. Based Syst. 9 (8) (1996)
Simon Y. Foo, Yoshiyasu Takefuji, Harold Szu
Scaling properties of neural networks for job-shop scheduling. Neurocomputing 8 (1) (1995)
Harold Szu, Simon Y. Foo
Divide and conquer orthogonality principle for parallel optimizations in TSP. Neurocomputing 8 (3) (1995)
Simon Y. Foo, Yoshiyasu Takefuji
Databases and Cell-Selection Algorithms for VLSI Cell Libraries. Computer 23 (2) (1990)