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Nikola Kasabov: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Qun Song, Tianmin Ma, Nikola Kasabov
    TTLSC - Transductive Total Least Square Model for Classification and Its Application in Medicine. [Citation Graph (0, 0)][DBLP]
    ADMA, 2006, pp:197-204 [Conf]
  2. Qun Song, Tianmin Ma, Nikola Kasabov
    Transductive Knowledge Based Fuzzy Inference System for Personalized Modeling. [Citation Graph (0, 0)][DBLP]
    FSKD (2), 2005, pp:528-535 [Conf]
  3. Nikola Kasabov
    Discovering Rules of Adaptation and Interaction: From Molecules and Gene Interaction to Brain Functions. [Citation Graph (0, 0)][DBLP]
    HIS, 2004, pp:3- [Conf]
  4. Nikola Kasabov, Vishal Jain, Paulo C. M. Gottgtroy, Lubica Benuskova, Frances Joseph
    Brain-Gene Ontology: Integrating Bioinformatics and Neuroinformatics Data, Information and Knowledge to Enable Discoveries. [Citation Graph (0, 0)][DBLP]
    HIS, 2006, pp:13- [Conf]
  5. Nikola Kasabov, Lubica Benuskova, Simei Gomes Wysoski
    Computational Neurogenetic Modeling: Integration of Spiking Neural Networks, Gene Networks, and Signal Processing Techniques. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2005, pp:509-514 [Conf]
  6. Simei Gomes Wysoski, Lubica Benuskova, Nikola Kasabov
    On-Line Learning with Structural Adaptation in a Network of Spiking Neurons for Visual Pattern Recognition. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2006, pp:61-70 [Conf]
  7. Shaoning Pang, Seiichi Ozawa, Nikola Kasabov
    One-Pass Incremental Membership Authentication by Face Classification. [Citation Graph (0, 0)][DBLP]
    ICBA, 2004, pp:155-161 [Conf]
  8. Akbar Ghobakhlou, David Zhang, Nikola Kasabov
    An Evolving Neural Network Model for Person Verification Combining Speech and Image. [Citation Graph (0, 0)][DBLP]
    ICONIP, 2004, pp:381-386 [Conf]
  9. Nikola Kasabov
    Evolving Connectionist Systems and Evolving Brains. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:12-13 [Conf]
  10. Snjezana Soltic, Shaoning Pang, Nikola Kasabov, Sue Worner, Lora Peacock
    Dynamic Neuro-fuzzy Inference and Statistical Models for Risk Analysis of Pest Insect Establishment. [Citation Graph (0, 0)][DBLP]
    ICONIP, 2004, pp:971-976 [Conf]
  11. Nikola Kasabov, Georgi Iliev
    Hybrid System for Robust Recognition of Noisy Speech Based on Evolving Fuzzy Neural Networks and Adaptive Filtering. [Citation Graph (0, 0)][DBLP]
    IJCNN (5), 2000, pp:91-96 [Conf]
  12. Shaoning Pang, Ilkka Havukkala, Nikola Kasabov
    Two-Class SVM Trees (2-SVMT) for Biomarker Data Analysis. [Citation Graph (0, 0)][DBLP]
    ISNN (2), 2006, pp:629-634 [Conf]
  13. Shaoning Pang, Nikola Kasabov
    Investigating LLE Eigenface on Pose and Face Identification. [Citation Graph (0, 0)][DBLP]
    ISNN (2), 2006, pp:134-139 [Conf]
  14. Shaoning Pang, Seiichi Ozawa, Nikola Kasabov
    Chunk Incremental LDA Computing on Data Streams. [Citation Graph (0, 0)][DBLP]
    ISNN (2), 2005, pp:51-56 [Conf]
  15. Seiichi Ozawa, Shaoning Pang, Nikola Kasabov
    A Modified Incremental Principal Component Analysis for On-Line Learning of Feature Space and Classifier. [Citation Graph (0, 0)][DBLP]
    PRICAI, 2004, pp:231-240 [Conf]
  16. Ilkka Havukkala, Lubica Benuskova, Shaoning Pang, Vishal Jain, Rene Kroon, Nikola Kasabov
    Image and Fractal Information Processing for Large-Scale Chemoinformatics, Genomics Analyses and Pattern Discovery. [Citation Graph (0, 0)][DBLP]
    PRIB, 2006, pp:163-173 [Conf]
  17. Matthias E. Futschik, Anthony Reeve, Nikola Kasabov
    Evolving connectionist systems for knowledge discovery from gene expression data of cancer tissue. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2003, v:28, n:2, pp:165-189 [Journal]
  18. Waleed H. Abdulla, Nikola Kasabov
    Reduced feature-set based parallel CHMM speech recognition systems. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2003, v:156, n:1-2, pp:21-38 [Journal]
  19. Seiichi Ozawa, Soon Lee Toh, Shigeo Abe, Shaoning Pang, Nikola Kasabov
    Incremental learning of feature space and classifier for face recognition. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2005, v:18, n:5-6, pp:575-584 [Journal]
  20. Qun Song, Nikola Kasabov
    TWNFI - a transductive neuro-fuzzy inference system with weighted data normalization for personalized modeling. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:10, pp:1591-1596 [Journal]
  21. Nikola Kasabov
    Global, local and personalised modeling and pattern discovery in bioinformatics: An integrated approach. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2007, v:28, n:6, pp:673-685 [Journal]
  22. Shaoning Pang, Seiichi Ozawa, Nikola Kasabov
    Incremental linear discriminant analysis for classification of data streams. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2005, v:35, n:5, pp:905-914 [Journal]
  23. Lorenzo Rizzi, Flavio Bazzana, Nikola Kasabov, Mario Fedrizzi, Luca Erzegovesi
    Simulation of ECB decisions and forecast of short term Euro rate with an adaptive fuzzy expert system. [Citation Graph (0, 0)][DBLP]
    European Journal of Operational Research, 2003, v:145, n:2, pp:363-381 [Journal]
  24. Simei Gomes Wysoski, Lubica Benuskova, Nikola Kasabov
    Text-Independent Speaker Authentication with Spiking Neural Networks. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2007, pp:758-767 [Conf]
  25. Lubica Benuskova, Nikola Kasabov
    Modeling L-LTP based on changes in concentration of pCREB transcription factor. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:10-12, pp:2035-2040 [Journal]

  26. Evolving Connectionist and Hybrid Systems: Methods, Tools, Applications. [Citation Graph (, )][DBLP]


  27. Ontology-Based Framework for Personalized Diagnosis and Prognosis of Cancer Based on Gene Expression Data. [Citation Graph (, )][DBLP]


  28. Evolving Connectionist Systems for Adaptive Sport Coaching. [Citation Graph (, )][DBLP]


  29. Adaptive Face Recognition System Using Fast Incremental Principal Component Analysis. [Citation Graph (, )][DBLP]


  30. Adaptive Spiking Neural Networks for Audiovisual Pattern Recognition. [Citation Graph (, )][DBLP]


  31. Personalised Modelling for Multiple Time-Series Data Prediction: A Preliminary Investigation in Asia Pacific Stock Market Indexes Movement. [Citation Graph (, )][DBLP]


  32. Incremental Principal Component Analysis Based on Adaptive Accumulation Ratio. [Citation Graph (, )][DBLP]


  33. Vision Based Mobile Robot for Indoor Environmental Security. [Citation Graph (, )][DBLP]


  34. Personalized Modeling Based Gene Selection for Microarray Data Analysis. [Citation Graph (, )][DBLP]


  35. A Novel Incremental Linear Discriminant Analysis for Multitask Pattern Recognition Problems. [Citation Graph (, )][DBLP]


  36. Integrated Feature and Parameter Optimization for an Evolving Spiking Neural Network. [Citation Graph (, )][DBLP]


  37. Ontology Based Personalized Modeling for Chronic Disease Risk Analysis: An Integrated Approach. [Citation Graph (, )][DBLP]


  38. Ontology Based Personalized Modeling for Type 2 Diabetes Risk Analysis: An Integrated Approach. [Citation Graph (, )][DBLP]


  39. A Novel Evolving Clustering Algorithm with Polynomial Regression for Chaotic Time-Series Prediction. [Citation Graph (, )][DBLP]


  40. String Kernel Based SVM for Internet Security Implementation. [Citation Graph (, )][DBLP]


  41. Hierarchical Core Vector Machines for Network Intrusion Detection. [Citation Graph (, )][DBLP]


  42. String Pattern Recognition Using Evolving Spiking Neural Networks and Quantum Inspired Particle Swarm Optimization. [Citation Graph (, )][DBLP]


  43. Coevolutionary Method for Gene Selection and Parameter Optimization in Microarray Data Analysis. [Citation Graph (, )][DBLP]


  44. A versatile quantum-inspired evolutionary algorithm. [Citation Graph (, )][DBLP]


  45. Brain Gene Ontology and Simulation System (bgos) for a Better Understanding of the Brain. [Citation Graph (, )][DBLP]


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