15. ICONIP 2008: Auckland, New Zealand
Mario Köppen, Nikola K. Kasabov, George G. Coghill (Eds.): Advances in Neuro-Information Processing, 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part I. Springer 2009 Lecture Notes in Computer Science ISBN 978-3-642-02489-4
INNS Symposium "New Directions in Neural Networks"
Nikola K. Kasabov: Integrative Probabilistic Evolving Spiking Neural Networks Utilising Quantum Inspired Evolutionary Algorithm: A Computational Framework. 3-13
Yusuke Tabata, Masaharu Adachi: A Spiking Network of Hippocampal Model Including Neurogenesis. 14-21
Takumi Kamioka, Eiji Uchibe, Kenji Doya: NeuroEvolution Based on Reusable and Hierarchical Modular Representation. 22-31
Aram Kawewong, Yutaro Honda, Manabu Tsuboyama, Osamu Hasegawa: A Common-Neural-Pattern Based Reasoning for Mobile Robot Cognitive Mapping. 32-39
Athanasios Pavlou, Matthew C. Casey: Identifying Emotions Using Topographic Conditioning Maps. 40-47
Yaochu Jin, Lisa Schramm, Bernhard Sendhoff: A Gene Regulatory Model for the Development of Primitive Nervous Systems. 48-55
Pieter Buteneers, Benjamin Schrauwen, David Verstraeten, Dirk Stroobandt: Real-Time Epileptic Seizure Detection on Intra-cranial Rat Data Using Reservoir Computing. 56-63
Sang Hyoung Lee, Sanghoon Lee, Il Hong Suh, Wan Kyun Chung: Learning of Subgoals for Goal-Oriented Behavior Control of Mobile Robots. 64-71
Yasuhiro Fukushima, Minoru Tsukada, Ichiro Tsuda, Yutaka Yamaguti, Shigeru Kuroda: Coding Mechanisms in Hippocampal Networks for Learning and Memory. 72-79
Mojtaba Solgi, Juyang Weng: Developmental Stereo: Topographic Iconic-Abstract Map from Top-Down Connection. 80-87
Hiroshi Kojima, Shiori Katsumata: An Analysis of Synaptic Transmission and its Plasticity by Glutamate Receptor Channel Kinetics Models and 2-Photon Laser Photolysis. 88-94
Leena N. Patel, Alan F. Murray: A Biologically Inspired Neural CPG for Sea Wave Conditions/Frequencies. 95-102
Rami N. Khushaba, Ahmed Al-Ani, Adel Al-Jumaily: Feature Subset Selection Using Differential Evolution. 103-110
Mária Markosová, Liz Franz, Lubica Benusková: Topology of Brain Functional Networks: Towards the Role of Genes. 111-118
Hiroaki Wagatsuma: Hybrid Design Principles and Time Constants in the Construction of Brain-Based Robotics: A Real-Time Simulator of Oscillatory Neural Networks Interacting with the Real Environment via Robotic Devices. 119-126
Neurodynamics
Yongjun Wu, Jianhua Peng, Ming Luo: First Spiking Dynamics of Stochastic Neuronal Model with Optimal Control. 129-136
Johannes Partzsch, Christian Mayr, René Schüffny: BCM and Membrane Potential: Alternative Ways to Timing Dependent Plasticity. 137-144
Sho Hashimoto, Hiroyuki Torikai: A Novel Hybrid Spiking Neuron: Response Analysis and Learning Potential. 145-152
Somnuk Phon-Amnuaisuk: Event-Related Desynchronisation/Synchronisation of Spontaneous Motor Actions. 153-160
Yukihiro Nonaka, Hatsuo Hayashi: Competition between Synapses Located in Proximal and Distal Dendrites of the Dentate Granule Cell through STDP. 161-168
Fausto Lucena, D. S. Brito, Allan Kardec Barros, Noboru Ohnishi: An Analysis of the Autonomic Cardiac Activity by Reducing the Interplay between Sympathetic and Parasympathetic Information. 169-176
Justin Dauwels, François B. Vialatte, Theophane Weber, Andrzej Cichocki: On Similarity Measures for Spike Trains. 177-185
Naoyuki Sato, Yoko Yamaguchi: Relationship between an Input Sequence and Asymmetric Connections Formed by Theta Phase Precession and STDP. 186-193
Hsiao-Lung Chan, Ming-An Lin, Tony Wu, Pei-Kuang Chao, Shih-Tseng Lee, Peng-Chuan Chen: Analysis of Microelectrographic Neuronal Background in Deep Brain Nuclei in Parkinson Disease. 194-199
Stefan Babinec, Jiri Pospichal: Gating Echo State Neural Networks for Time Series Forecasting. 200-207
Hiroyuki Torikai, Toru Nishigami: A Novel Artificial Model of Spiral Ganglion Cell and Its Spike-Based Encoding Function. 208-215
Ben Jones, Yaochu Jin, Xin Yao, Bernhard Sendhoff: Evolution of Neural Organization in a Hydra-Like Animat. 216-223
François B. Vialatte, Justin Dauwels, Jordi Solé i Casals, Monique Maurice, Andrzej Cichocki: Improved Sparse Bump Modeling for Electrophysiological Data. 224-231
Somnuk Phon-Amnuaisuk: Classify Event-Related Motor Potentials of Cued Motor Actions. 232-239
Eiichi Inohira, Shiori Uota, Hirokazu Yokoi: A Neural Network Based Hierarchical Motor Schema of a Multi-finger Hand and Its Motion Diversity. 240-247
Cognitive Neuroscience
Peng Bian, Liming Zhang: Biological Plausibility of Spectral Domain Approach for Spatiotemporal Visual Saliency. 251-258
Kazuhiro Sakamoto, Hidekazu Nakajima, Takeshi Suzuki, Masafumi Yano: A "Global Closure" Effect in Contour Integration. 259-266
Miki Hirabayashi, Hirodata Ohashi: Modeling of Associative Dynamics in Hippocampal Contributions to Heuristic Decision Making. 267-274
Michal Cernanský, Lubica Benusková: Training Recurrent Connectionist Models on Symbolic Time Series. 285-292
Masayoshi Sato, Yuki Togashi, Takashi Omori, Koichiro Yamauchi, Satoru Ishikawa, Toshihiro Wakita: Computational Modeling of Risk-Related Eye Movement of Car Drivers. 293-300
Yasuhiro Hatori, Ko Sakai: Robust Detection of Medial-Axis by Onset Synchronization of Border-Ownership Selective Cells and Shape Reconstruction from Its Medial-Axis. 301-309
Shigeru Kubota, Tatsuo Kitajima: Synaptic Cooperation and Competition in STDP Learning Rule. 310-317
Justin Dauwels, François B. Vialatte, Theophane Weber, Andrzej Cichocki: An Exemplar-Based Statistical Model for the Dynamics of Neural Synchrony. 318-326
Toshisada Mariyama, Hideaki Itoh: Towards a Comparative Theory of the Primates' Tool-Use Behavior. 327-335
Ken-ichi Morishige, Dai Kawawaki, Taku Yoshioka, Masa-aki Sato, Mitsuo Kawato: Artifact Removal Using Simultaneous Current Estimation of Noise and Cortical Sources. 336-343
Toshikazu Samura, Motonobu Hattori, Shinichi Kikuchi, Shun Ishizaki: Significance for Hippocampal Memory of Context-Like Information Generated in Hippocampal CA3c. 344-351
Yasuo Matsuyama, Fumiya Matsushima, Youichi Nishida, Takashi Hatakeyama, Koji Sawada, Takatoshi Kato: Bio-signal Integration for Humanoid Operation: Gesture and Brain Signal Recognition by HMM/SVM-Embedded BN. 352-360
Akiyo Asahina, Junichiro Hirayama, Shin Ishii: Interpreting Dopamine Activities in Stochastic Reward Tasks. 361-368
Toshitaka Yamakawa, Takeshi Yamakawa, Michiyasu Suzuki, Masami Fujii: Epileptogenic ECoG Monitoring and Brain Stimulation Using a Multifunctional Microprobe for Minimally Invasive Brain Microsurgery. 369-376
Tamami Sudo, Ken Mogi: Generalization in Linguistic Category Formation Based on the Prototype Effect. 377-383
Atsuo Suemitsu, Yasuhiro Miyazawa, Masahiko Morita: Model of the Activity of Hippocampal Neurons Based on the Theory of Selective Desensitization. 384-391
Qi Zhang: EEG-Based Classification of Brain Activity for Brightness Stimuli. 392-399
François B. Vialatte, Monique Maurice, Justin Dauwels, Andrzej Cichocki: Steady State Visual Evoked Potentials in the Delta Range (0.5-5 Hz). 400-407
Travis Monk, Chris Harris: Using Optimality to Predict Photoreceptor Distribution in the Retina. 408-415
Yoshinori Ide, Johan Lauwereyns, Minoru Tsukada: Optical Imaging of Plastic Changes Induced by Fear Conditioning in the Auditory Cortex of Guinea Pig. 416-422
Yasuhiro Fukushima, Minoru Tsukada, Ichiro Tsuda, Yutaka Yamaguti, Shigeru Kuroda: Possibility of Cantor Coding by Spatial Input Patterns. 423-427
Kiruthika Ramanathan, Luping Shi, Jianming Li, Kian Guan Lim, Ming Hui Li, Zhi Ping Ang, Tow Chong Chong: A Neural Network Model for a Hierarchical Spatio-temporal Memory. 428-435
Minfen Shen, Jialiang Chen, K. H. Ting: Time-Varying Synchronization of Visual ERP during Sentences Identification. 436-443
Kazuhiro Takazawa, Yoshiki Kashimori: Neural Mechanism of Synchronous Firing of Inferior Temporal Cortex in Face Perception. 444-450
Bioinformatics
Tomasz M. Rutkowski, Andrzej Cichocki, Toshihisa Tanaka, Anca L. Ralescu, Danilo P. Mandic: Clustering of Spectral Patterns Based on EMD Components of EEG Channels with Applications to Neurophysiological Signals Separation. 453-460
Mariá Cristina Vasconcelos Nascimento, Franklina Maria Bragion Toledo, André Carlos Ponce Leon Ferreira de Carvalho: Consensus Clustering Using Spectral Theory. 461-468
Justin Dauwels, Yuki Tsukada, Yuichi Sakumura, Shin Ishii, Kazuhiro Aoki, Takeshi Nakamura, Michiyuki Matsuda, François B. Vialatte, Andrzej Cichocki: On the Synchrony of Morphological and Molecular Signaling Events in Cell Migration. 469-477
Dianhui Wang, Nung Kion Lee: MISCORE: Mismatch-Based Matrix Similarity Scores for DNA Motif Detection. 478-485
Giampaolo L. Libralon, André Carlos Ponce Leon Ferreira de Carvalho, Ana Carolina Lorena: Ensembles of Pre-processing Techniques for Noise Detection in Gene Expression Data. 486-493
Ken Suetsugu, Yoshihiko Tagawa, Tomohisa Inada, Naoto Shiba: FES Position Control of Forearm Using EOG. 494-503
Yoshinori Itai, Hyoungseop Kim, Seiji Ishikawa, Shigehiko Katsuragawa, Kunio Doi: Reduction of FPs for Lung Nodules in MDCT by Use of Temporal Subtraction with Voxel-Matching Technique. 504-512
Alexandra Scherbart, Wiebke Timm, Sebastian Böcker, Tim W. Nattkemper: Improved Mass Spectrometry Peak Intensity Prediction by Adaptive Feature Weighting. 513-520
Xi Li, Dianhui Wang: An Improved Genetic Algorithm for DNA Motif Discovery with Public Domain Information. 521-528
Ping Zhang, Vladimir Brusic, Kaye E. Basford: A Hybrid Model for Prediction of Peptide Binding to MHC Molecules. 529-536
Special Session: Data Mining Methods for Cybersecurity
Daisuke Miyamoto, Hiroaki Hazeyama, Youki Kadobayashi: An Evaluation of Machine Learning-Based Methods for Detection of Phishing Sites. 539-546
Daisuke Miyamoto, Hiroaki Hazeyama, Youki Kadobayashi: Detecting Methods of Virus Email Based on Mail Header and Encoding Anomaly. 547-554
Ruo Ando: Faster Parameter Detection of Polymorphic Viral Code Using Hot List Strategy. 555-562
Zhonghua Zhao, Shanqing Guo, Qiuliang Xu, Tao Ban: G-Means: A Clustering Algorithm for Intrusion Detection. 563-570
Yan Yu, Shanqing Guo, Shaohua Lan, Tao Ban: Anomaly Intrusion Detection for Evolving Data Stream Based on Semi-supervised Learning. 571-578
Daisuke Inoue, Katsunari Yoshioka, Masashi Eto, Masaya Yamagata, Eisuke Nishino, Jun-ichi Takeuchi, Kazuya Ohkouchi, Koji Nakao: An Incident Analysis System NICTER and Its Analysis Engines Based on Data Mining Techniques. 579-586
Farhad Dadgostar, Abdolhossein Sarrafzadeh, Chris H. Messom: Multi-layered Hand and Face Tracking for Real-Time Gesture Recognition. 587-594
Dimitrios A. Karras, Vasilios Zorkadis: Towards a Reliable Evaluation Framework for Message Authentication in Web-Based Transactions Based on an Improved Computational Intelligence and Dynamical Systems Methodology. 595-602
Special Session: Computational Models and Their Applications in Machine Learning and Pattern Recognition
Sanghamitra Bandyopadhyay, Malay Bhattacharyya: A Neuro-GA Approach for the Maximum Fuzzy Clique Problem. 605-612
Chandra Shekhar Dhir, Soo-Young Lee: Hybrid Feature Selection: Combining Fisher Criterion and Mutual Information for Efficient Feature Selection. 613-620
Takatoshi Kato, Shun'ichi Honma, Yasuo Matsuyama, Tetsuma Yoshino, Yuuki Hoshino: Sensibility-Aware Image Retrieval Using Computationally Learned Bases: RIM, JPG, J2K, and Their Mixtures. 621-628
Keisuke Yamazaki, Samuel Kaski: An Analysis of Generalization Error in Relevant Subtask Learning. 629-637
Shigeru Kato, Kok Wai Wong: Intelligent Automated Guided Vehicle with Reverse Strategy: A Comparison Study. 638-646
Chen-Cheng Wang, Yang-Cheng Lin, Chung-Hsing Yeh: Neural Networks for Optimal Form Design of Personal Digital Assistants. 647-654
Kazunori Iwata, Akira Hayashi: Sampling Curve Images to Find Similarities among Parts of Images. 663-670
Michal Cernanský, Matej Makula, Lubica Benusková: Improving the State Space Organization of Untrained Recurrent Networks. 671-678
Kentarou Hitomi, Takashi Bando, Naoki Fukaya, Kazushi Ikeda, Tomohiro Shibata: Online Multibody Factorization Based on Bayesian Principal Component Analysis of Gaussian Mixture Models. 679-687
Masashi Matsumoto, Sumio Watanabe: Experimental Study of Ergodic Learning Curve in Hidden Markov Models. 688-695
Kenji Nagata, Sumio Watanabe: Design of Exchange Monte Carlo Method for Bayesian Learning in Normal Mixture Models. 696-706
Jun Ma: Image Filling-In: A Gestalt Approach. 707-714
Bernardete Ribeiro, Armando Vieira, João Duarte, Catarina Silva, João Carvalho das Neves, Qingzhong Liu, Andrew H. Sung: Learning Manifolds for Bankruptcy Analysis. 723-730
Daisuke Komazawa, Kazushi Ikeda, Hiroyuki Funaya: Information Geometry of Interspike Intervals in Spiking Neurons with Refractories. 731-736
Special Session: Recent Advances in Brain-Inspired Technologies for Robotics
Chuho Yi, Il Hong Suh, Gi Hyun Lim, Seungdo Jeong, Byung-Uk Choi: Cognitive Representation and Bayeisan Model of Spatial Object Contexts for Robot Localization. 747-754
Katsunari Shibata, Tomohiko Kawano: Learning of Action Generation from Raw Camera Images in a Real-World-Like Environment by Simple Coupling of Reinforcement Learning and a Neural Network. 755-762
Mikio Morita, Masumi Ishikawa: Brain-Inspired Emergence of Behaviors Based on the Desire for Existence by Reinforcement Learning. 763-770
Masanori Sato, Atsushi Kanda, Kazuo Ishii: A Neural Network Based Controller for an Outdoor Mobile Robot. 771-778
Yuya Nishida, Masahiro Nagamatu: Trajectory Planning with Dynamics Constraints for an Underactuated Manipulator. 787-793
Alan Rosen, David B. Rosen: Neural Networks That Mimic the Human Brain: Turing Machines versus Machines That Generate Conscious Sensations. 794-801
Special Session: Lifelong Incremental Learning for Intelligent Systems
Stephan Kirstein, Heiko Wersing, Horst-Michael Gross, Edgar Körner: A Vector Quantization Approach for Life-Long Learning of Categories. 805-812
Stephan Kirstein, Heiko Wersing, Horst-Michael Gross, Edgar Körner: An Integrated System for Incremental Learning of Multiple Visual Categories. 813-820
Hitoshi Nishikawa, Seiichi Ozawa, Asim Roy: A Neural Network Model for Sequential Multitask Pattern Recognition Problems. 821-828
Seyed Jalal Kazemitabar, Hamid Beigy: Automatic Discovery of Subgoals in Reinforcement Learning Using Strongly Connected Components. 829-834
Special Session: Dynamics of Neural Networks
Tomonari Hasegawa, Toshimichi Saito: Bifurcation and Windows in a Simple Piecewise Linear Chaotic Spiking Neuron. 837-843
Yuji Kawai, Toshimichi Saito: Bifurcation between Superstable Periodic Orbits and Chaos in a Simple Spiking Circuit. 844-850
Mikio Hasegawa, Taichi Takeda, Taro Kuroda, Ha Nguyen Tran, Goh Miyamoto, Yoshitoshi Murata, Hiroshi Harada, Shuzo Kato: Application of Higher Order Neural Network Dynamics to Distributed Radio Resource Usage Optimization of Cognitive Wireless Networks. 851-858
Hiroaki Wagatsuma, Yoko Yamaguchi: Synchronized Rhythmic Signals Effectively Influence Ongoing Cortical Activity for Decision-Making: A Study of the Biological Plausible Neural Network Model. 859-866
Yasuomi D. Sato, Yuji Tanaka, Masatoshi Shiino: Synchronization Transition in a Pair of Coupled Non-identical Oscillators. 867-874
Yoshihiro Hayakawa, Koji Nakajima: Parameter Analysis for Removing the Local Minima of Combinatorial Optimization Problems by Using the Inverse Function Delayed Neural Network. 875-882
Special Session: Applications of Intelligent Methods in Ecological Informatics
Martin Mudroch, Pavel Pechac, Martin Grábner, Václav Kvicera: Classification and Prediction of Lower Troposphere Layers Influence on RF Propagation Using Artificial Neural Networks. 893-900
Michael J. Watts, Susan P. Worner: Predicting the Distribution of Fungal Crop Diseases from Abiotic and Biotic Factors Using Multi-Layer Perceptrons. 901-908
David R. Pontin, Susan P. Worner, Michael J. Watts: Using Time Lagged Input Data to Improve Prediction of Stinging Jellyfish Occurrence at New Zealand Beaches by Multi-Layer Perceptrons. 909-916
Subana Shanmuganathan, Philip Sallis: Modelling Climate Change Effects on Wine Quality Based on Expert Opinions Expressed in Free-Text Format: The WEBSOM Approach. 917-925
Special Session: Pattern Recognition from Real-World Information by SVM and Other Sophisticated Techniques
Hiroyuki Funaya, Yoshihiko Nomura, Kazushi Ikeda: A Support Vector Machine with Forgetting Factor and Its Statistical Properties. 929-936
Teo Susnjak, Andre L. C. Barczak: Accelerated Classifier Training Using the PSL Cascading Structure. 945-952
Tadahiro Taniguchi, Naoto Iwahashi: Imitation Learning from Unsegmented Human Motion Using Switching Autoregressive Model and Singular Vector Decomposition. 953-961
Sean W. Gordon, Shaoning Pang, Ryota Nishioka, Nikola Kasabov, Takeshi Yamakawa: Vision Based Mobile Robot for Indoor Environmental Security. 962-969
Keiji Tatsumi, Ryo Kawachi, Kenji Hayashida, Tetsuzo Tanino: Multiobjective Multiclass Soft-Margin Support Vector Machine Maximizing Pair-Wise Interclass Margins. 970-977
Katsunori Kitano, Kazuhiro Yamada: Functional Networks Based on Pairwise Spike Synchrony Can Capture Topologies of Synaptic Connectivity in a Local Cortical Network Model. 978-985
Hirotaka Sakamoto, Yukiko Nakajima, Kazutoshi Sakakibara, Masahiro Ito, Ikuko Nishikawa: Prediction of the O-Glycosylation by Support Vector Machines and Semi-supervised Learning. 986-994
Junya Nishiguchi, Chosei Kaseda, Hirotaka Nakayama, Masao Arakawa, Yeboon Yun: Practical Approach to Outlier Detection Using Support Vector Regression. 995-1001
Special Session: Neural Information Processing in Cooperative Multi-robot Systems
Pilar Caamaño, José Antonio Becerra, Francisco Bellas, Richard J. Duro: Using Spiking Neural Networks for the Generation of Coordinated Action Sequences in Robots. 1013-1020
Ivan Villaverde, Zelmar Echegoyen, Manuel Graña: Neuro-Evolutive System for Ego-Motion Estimation with a 3D Camera. 1021-1028
Darío Maravall, Javier de Lope Asiaín: Neuro Granular Networks with Self-learning Stochastic Connections: Fusion of Neuro Granular Networks and Learning Automata Theory. 1029-1036
Abraham Prieto, Francisco Bellas, Richard J. Duro, Fernando López-Peña: An Incremental Learning Algorithm for Optimizing High-Dimensional ANN-Based Classification Systems. 1037-1044
Zelmar Echegoyen, Alicia D'Anjou, Ivan Villaverde, Manuel Graña: Towards the Adaptive Control of a Multirobot System for an Elastic Hose. 1045-1052
José Manuel López-Guede, Manuel Graña, Ekaitz Zulueta, Oscar Barambones: Economical Implementation of Control Loops for Multi-robot Systems. 1053-1059
Workshop: Hybrid and Adaptive Systems for Real-Time Robotics Vision and Control
Dimitrios A. Karras: An Improved Modular Neural Network Model for Adaptive Trajectory Tracking Control of Robot Manipulators. 1063-1070
Heesang Shin, Napoleon H. Reyes: Variable Colour Depth Look-Up Table Based on Fuzzy Colour Processing. 1071-1078
Antony P. Gerdelan, Napoleon H. Reyes: Towards a Generalised Hybrid Path-Planning and Motion Control System with Auto-calibration for Animated Characters in 3D Environments. 1079-1086
Hiroaki Wagatsuma: Cultivated Microorganisms Control a Real Robot: A Model of Dynamical Coupling between Internal Growth and Robot Movement. 1087-1094
Chris H. Messom, Andre L. C. Barczak: Stream Processing of Geometric and Central Moments Using High Precision Summed Area Tables. 1095-1102
Wei Kin Wong, Tze Ming Neoh, Chu Kiong Loo, Chuan Poh Ong: Bayesian Fusion of Auditory and Visual Spatial Cues during Fixation and Saccade in Humanoid Robot. 1103-1109
Vitor Campanholo Guizilini, Jun Okamoto: Solving the Online SLAM Problem with an Omnidirectional Vision System. 1110-1117
Workshop: Neurocomputing and Evolving Intelligence - NCEI 2008
Satchidananda Dehuri, Bijan Bihari Misra, Sung-Bae Cho: A Notable Swarm Approach to Evolve Neural Network for Classification in Data Mining. 1121-1128
Alan Zuppicich, Snjezana Soltic: FPGA Implementation of an Evolving Spiking Neural Network. 1129-1136
Sau Wai Tung, Chai Quek, Cuntai Guan: HyFIS-Yager-gDIC: A Self-organizing Hybrid Neural Fuzzy Inference System Realizing Yager Inference. 1137-1145
Hiroshi Koshimizu, Toshimichi Saito: Parallel Ant Colony Optimizer Based on Adaptive Resonance Theory Maps. 1146-1153
Koichiro Yamauchi: Covariate Shift and Incremental Learning. 1154-1162
Masayuki Hisada, Seiichi Ozawa, Kau Zhang, Shaoning Pang, Nikola Kasabov: A Novel Incremental Linear Discriminant Analysis for Multitask Pattern Recognition Problems. 1163-1171
José Everardo Bessa Maia, André L. V. Coelho, Guilherme De A. Barreto: Directly Optimizing Topology-Preserving Maps with Evolutionary Algorithms. 1180-1187
Seiichi Ozawa, Kazuya Matsumoto, Shaoning Pang, Nikola Kasabov: Incremental Principal Component Analysis Based on Adaptive Accumulation Ratio. 1196-1203
Anju Verma, Nikola Kasabov, Elaine Rush, Qun Song: Ontology Based Personalized Modeling for Chronic Disease Risk Analysis: An Integrated Approach. 1204-1210
Philip Sallis, Mary Carmen Jarur Muñoz, Marcelo Trujillo: Frost Prediction Characteristics and Classification Using Computational Neural Networks. 1211-1220
Yingjie Hu, Qun Song, Nikola Kasabov: Personalized Modeling Based Gene Selection for Microarray Data Analysis. 1221-1228
Stefan Schliebs, Michael Defoin-Platel, Nikola Kasabov: Integrated Feature and Parameter Optimization for an Evolving Spiking Neural Network. 1229-1236
Harya Widiputra, Russel Pears, Nikola Kasabov: Personalised Modelling for Multiple Time-Series Data Prediction: A Preliminary Investigation in Asia Pacific Stock Market Indexes Movement. 1237-1244



