Databases and Cell-Selection Algorithms for VLSI Cell Libraries. - Simon Y. Foo; Yoshiyasu Takefuji (Computer, 1990)

Scaling properties of neural networks for job-shop scheduling. - Simon Y. Foo; Yoshiyasu Takefuji; Harold Szu (Neurocomputing, 1995)

Divide and conquer orthogonality principle for parallel optimizations in TSP. - Harold Szu; Simon Y. Foo (Neurocomputing, 1995)

A rule-based machine vision system for fire detection in aircraft dry bays and engine compartments. - Simon Y. Foo (Knowl. Based Syst., 1996)

A fuzzy logic approach to fire detection in aircraft dry bays and engine compartments. - Simon Y. Foo (IEEE Trans. Ind. Electron., 2000)

Evolving ant colony systems in hardware for random number generation. - Jason C. Isaacs; Robert K. Watkins; Simon Y. Foo (IEEE Congress on Evolutionary Computation, 2002)

Field Programmable Gate Array Implementations of Cellular Automata for Pseudo-Random Number Generation. - Jason C. Isaacs; Robert K. Watkins; Simon Y. Foo (PDPTA, 2003)

Real Time Texture Classification using Field Programmable Gate Arrays. - Geoffrey Wall; Faizal Iqbal; Jason C. Isaacs; Xiuwen Liu; Simon Y. Foo (AIPR, 2004)

Optimized wavelet hand pose estimation for American sign language recognition. - Jason C. Isaacs; Simon Y. Foo (IEEE Congress on Evolutionary Computation, 2004)

Evolvable characteristic-based pseudo random number generation. - Jason C. Isaacs; Robert K. Watkins; Simon Y. Foo (Eng. Appl. Artif. Intell., 2004)

Local exponential stability of competitive neural networks with different time scales. - Anke Meyer-Bäse; Sergei S. Pilyugin; Axel Wismüller; Simon Foo 001 (Eng. Appl. Artif. Intell., 2004)

Medical image compression using topology-preserving neural networks. - Anke Meyer-Bäse; Karsten Jancke; Axel Wismüller; Simon Foo 001; Thomas Martinetz (Eng. Appl. Artif. Intell., 2005)

Neural network modeling of torque estimation and d-q transformation for induction machine. - Kaijam M. Woodley; Hui (Helen) Li; Simon Y. Foo (Eng. Appl. Artif. Intell., 2005)

An Energy-Efficient Path Availability Routing Algorithm For Mobile Ad Hoc Sensor Networks. - Ming Yu 001; Aniket Malvankar; Simon Y. Foo (ICC, 2006)

A comparison between neural and fuzzy cluster analysis techniques for functional MRI. - Oliver Lange; Anke Meyer-Baese; Monica K. Hurdal; Simon Y. Foo (Biomed. Signal Process. Control., 2006)

A speed and accuracy test of backpropagation and RBF neural networks for small-signal models of active devices. - Diego Langoni; Mark H. Weatherspoon; Simon Y. Foo; Hector A. Martinez (Eng. Appl. Artif. Intell., 2006)

Blind source separation based on self-organizing neural network. - Anke Meyer-Bäse; Peter Gruber 002; Fabian J. Theis; Simon Y. Foo (Eng. Appl. Artif. Intell., 2006)

Enhanced prediction of protein cellular localization sites with genetic algorithm optimal kernel projection analysis. - Jason C. Isaacs; Simon Y. Foo; Anke Meyer-Bäse (IEEE Congress on Evolutionary Computation, 2007)

Novel Kernels and Kernel PCA for Pattern Recognition. - Jason C. Isaacs; Simon Y. Foo; Anke Meyer-Bäse (CIRA, 2007)

Evolutionary computation-based kernel optimal component analysis for pattern recognition. - Jason C. Isaacs; Simon Y. Foo; Anke Meyer-Bäse (GECCO, 2007)

A performance analysis of lattice oscilation model kernels and KPCA. - Jason C. Isaacs; Simon Y. Foo; Anke Meyer-Bäse (SMC, 2007)

A link availability-based QoS-aware routing protocol for mobile ad hoc sensor networks. - Ming Yu 001; Aniket Malvankar; Wei Su 010; Simon Y. Foo (Comput. Commun., 2007)

Evaluation of Distributed File Integrity Analyzers in the Presence of Tampering. - Adam J. Rocke; Ronald F. DeMara; Simon Foo 001 (Int. J. Netw. Secur., 2007)

Small-Signal Modeling of Microwave MESFETs Using RBF-ANNs. - Mark H. Weatherspoon; Hector A. Martinez; Diego Langoni; Simon Y. Foo (IEEE Trans. Instrum. Meas., 2007)

Model-free visualization of suspicious lesions in breast MRI based on supervised and unsupervised learning. - Thorsten Twellmann; Anke Meyer-Bäse; Oliver Lange; Simon Y. Foo; Tim W. Nattkemper (Eng. Appl. Artif. Intell., 2008)

ICA, kernel methods and nonnegativity: New paradigms for dynamical component analysis of fMRI data. - Peter Gruber 002; Anke Meyer-Bäse; Simon Y. Foo; Fabian J. Theis (Eng. Appl. Artif. Intell., 2009)

3D Gabor Filters for Chest Segmentation in DCE-MRI. - Ignacio A. Illán; J. Perez Matos; Javier Ramírez 001; Juan Manuel Górriz; Simon Y. Foo; Anke Meyer-Baese (HAIS, 2018)

Optimized Naive-Bayes and Decision Tree Approaches for fMRI Smoking Cessation Classification. - Amirhessam Tahmassebi; Amir H. Gandomi; Mieke H. J. Schulte; Anna E. Goudriaan; Simon Y. Foo; Anke Meyer-Baese (Complex., 2018)

Security evaluation of Tree Parity Re-keying Machine implementations utilizing side-channel emissions. - Jonathan Martínez Padilla; Uwe Meyer-Baese; Simon Foo 001 (EURASIP J. Inf. Secur., 2018)

Pinning observability of competitive neural networks with different time-constants. - Anke Meyer-Bäse; Ali Moradi Amani; Uwe Meyer-Bäse; Simon Foo 001; Andreas Stadlbauer; W. Yu (Neurocomputing, 2019)

Facial Emotion Recognition Using Asymmetric Pyramidal Networks With Gradient Centralization. - Huanyu Zang; Simon Y. Foo; Shonda Bernadin; Anke Meyer-Baese (IEEE Access, 2021)

A comparison of machine learning algorithms for diabetes prediction. - Jobeda Jamal Khanam; Simon Y. Foo (ICT Express, 2021)

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. - Xuanchen Xiang; Simon Foo 001 (Mach. Learn. Knowl. Extr., 2021)

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. - Xuanchen Xiang; Simon Y. Foo; Huanyu Zang (Mach. Learn. Knowl. Extr., 2021)

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). - Ayodeji S. Ogundana; Pranaya K. Terala; Migara Y. Amarasinghe; Xuanchen Xiang; Simon Y. Foo (IEEE Access, 2024)

An Intelligent Parameter Identification Method of DFIG Systems Using Hybrid Particle Swarm Optimization and Reinforcement Learning. - Xuanchen Xiang; Ruisheng Diao; Shonda Bernadin; Simon Y. Foo; Fangyuan Sun; Ayodeji S. Ogundana (IEEE Access, 2024)