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Conferences in DBLP

Artificial Intelligence and Soft Computing (asc)
2006 (conf/asc/2006)

  1. Shigeaki Sakurai, Youichi Kitahara, Ryohei Orihara
    Sequential mining method based on a new criterion. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:1-8 [Conf]
  2. Michel Charest, Sylvain Delisle
    Ontology-guided intelligent data mining assistance: Combining declarative and procedural knowledge. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:9-14 [Conf]
  3. Takashi Matsuhisa
    Core equivalence for economy under rough sets information. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:15-21 [Conf]
  4. Josefina López Herrera
    A new approach of shannon entropy in recommender systems. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:22-27 [Conf]
  5. Sébastien Guérif, Younès Bennani
    Selection of clusters number and features subset during a two-levels clustering task. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:28-33 [Conf]
  6. Rónán Daly, Qiang Shen, J. Stuart Aitken
    Speeding up the learning of equivalence classes of bayesian network structures. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:34-39 [Conf]
  7. Rekha Kandwal, Kamal Kant Bharadwaj
    Cumulative growth of production rules with fuzzy hierarchy (PRFH). [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:40-45 [Conf]
  8. Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, Enrique Mérida Casermeiro, María del Carmen Vargas-González
    Global-local learning strategies in probabilistic principal components analysis. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:46-51 [Conf]
  9. Elena Vildjiounaite, Vesa Kyllönen
    Learning context-dependency of user interests in smart homes: Comparison between SVM and CBR. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:52-57 [Conf]
  10. Rozita A. Dara, Tauseef Khan, Jawad Azim, Orlando Cicchello, Gary Cort
    A semi-supervised approach to customer relationship management. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:58-64 [Conf]
  11. Alicia Grech, Julie Main
    Temporal case-based reasoning - case representation and retrieval for forecasting. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:65-72 [Conf]
  12. S. M. F. D. Syed Mustapha, Hui-Na Chua
    Automated business process identifier from text-based input using case-matching. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:73-79 [Conf]
  13. Margaret Miró-Julià
    Declarative expressions: A new perspective for handling information systems. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:80-85 [Conf]
  14. Maruf Pasha, Arshad Ali, Hafiz Farooq Ahmad, Hiroki Suguri
    An ontology gateway for efficient communication of agents with web services. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:86-91 [Conf]
  15. Oliver Zweigle, Uwe-Philipp Käppeler, Reinhard Lafrenz, Hamid Rajaie, Frank Schreiber, Paul Levi
    Situation recognition for reactive agent behavior. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:92-97 [Conf]
  16. Francisco J. Veredas, Hector Mesa
    Optimized synaptic conductance model for integrate-and-fire neurons. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:98-103 [Conf]
  17. M. R. Amin-Naseri, A. R. Soroush
    A hybrid neural network model for daily peak load forecasting using a novel clustering approach. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:104-109 [Conf]
  18. Gökhan Bilgin, Oguz Altun
    Cardiac problem diagnosis using SPECT images with statistical neural networks. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:110-113 [Conf]
  19. Frédéric Alexandre, Kerkeni Nizar, Khaled Ben Khalifa, Bedoui Mohamed Hedi, Laurent Bougrain, Dogui Mohamed
    Supervised neuronal approaches for EEG signal classification: Experimental studies. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:114-119 [Conf]
  20. Rozaida Ghazali, Abir Jaafar Hussain, Madjid Merabti
    Higher order neural networks and their applications to financial time series prediction. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:120-125 [Conf]
  21. Bruce J. Vanstone, Gavin R. Finnie
    Combining technical analysis and neural networks in the australian stockmarket. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:126-131 [Conf]
  22. Omar M. Al-Jarrah, Ali Shatnawi, Alaa Halawani
    Recognition of gestures in arabic sign language using neural networks. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:132-137 [Conf]
  23. Takakazu Kurokawa
    Neural network approach to the optimal lut assignment in FPGA for parallel multipliers over GF(2n). [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:138-143 [Conf]
  24. Siril Yella, Narendra Kumar Gupta, Marc Dougherty
    Pattern recognition approach for the automatic classification of data from impact acoustics. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:144-149 [Conf]
  25. Archit Yajnik, S. Rama Mohan
    Identification of gujarati characters using wavelets and neural networks. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:150-155 [Conf]
  26. A. K. Al-Othman, K. M. El-Naggar, W. S. Borisly
    A new digital technique for identification of symmetrical components for power system protection. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:156-160 [Conf]
  27. K. M. El-Naggar, A. K. Al-Othman, J. S. Al-Sumait
    A particle swarm digital identification of synchronous machine parameters from short circuit tests. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:161-165 [Conf]
  28. Jody Verboomen, Dirk Van Hertem, Ronnie Belmans, Pieter H. Schavemaker, Wil L. Kling
    Optimal phase shifter coordination: A multidimensional problem. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:166-171 [Conf]
  29. K. M. El-Naggar, A. K. Al-Othman, H. K. Ebraheem
    A new technique for synchronous machine parameters estimation from frequency tests. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:172-177 [Conf]
  30. Anna Persson, Henrik Grimm, Amos Ng
    Simulation-based optimisation using local search and neural network metamodels. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:178-183 [Conf]
  31. Eris Chinellato, Yiannis Demiris, Angel P. Del Pobil
    Studying the human visual cortex for improving prehension capabilities in robotics. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:184-189 [Conf]
  32. Ala Al-Zobaidie, Sahar Al-Sudani
    Managing digital libraries using semantic web technologies. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:190-196 [Conf]
  33. Emmanuil I. Marakakis, Chara Kounali, Kostas Vassilakis
    A method for removing unused arguments from logic programs. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:197-202 [Conf]
  34. Tich Phuoc Tran, Tony Jan, Andrew James Simmonds
    A multi-expert classification framework for network misuse de tection. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:203-208 [Conf]
  35. Alexei Lisounkin
    Knowledge modeling and processing for supervision of process facilities. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:209-214 [Conf]
  36. Cheng-Wu Chen, Chung-Hung Tsai, Ken Yeh, Chen-Yuan Chen
    S-curve regression of fuzzy method and statistical application. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:215-220 [Conf]
  37. Arnost Veselý
    Neural network representation of fuzzy systems. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:221-229 [Conf]
  38. Hakki Murat Genç, Ibrahim Eksin, Müjde Güzelkaya, Engin Yesil
    A rule - base modification for time delay systems. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:230-235 [Conf]
  39. Engin Yesil, Müjde Güzelkaya, Ibrahim Eksin
    Fuzzy logic based tuning of PID controllers for time delay dominant systems. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:236-241 [Conf]
  40. Hasan Fleyeh, Syed Omer Gilani, Marc Dougherty
    Road sign detection and recognition using fuzzy artmap: A case study swedish speed-limit signs. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:242-249 [Conf]
  41. Yusof Shafahi, Sobhaan Nazari
    Disaggregate mode choice analysis for work trips using genetic-fuzzy and neuro-fuzzy systems. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:250-255 [Conf]
  42. Krista Rizman Zalik
    Fuzzy C-means clustering and facility location problems. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:256-261 [Conf]
  43. Pascual Julián Iranzo, Clemente Rubio-Manzano
    A WAM implementation for flexible query answering. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:262-267 [Conf]
  44. Gonzalo Bailador, Gracián Triviño, Sergio Guadarrama
    Gesture recognition using a neuro-fuzzy predictor. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:268-272 [Conf]
  45. Hitoshi Iima
    Parallel genetic algorithm for a multiobjective rescheduling problem. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:273-278 [Conf]
  46. Tohru Kawabe, Takuto Motoyama
    Receding horizon control of sampled data systems based on dividing genetic computation. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:279-284 [Conf]
  47. Damian Slota
    Influence of the selection method on the solution of an inverse stefan problem using genetic algorithms. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:285-290 [Conf]
  48. Katsuyuki Hosono, Maiko Yanaka, Yuko Osana
    Office layout support system considering usage using interactive genetic algorithm. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:291-296 [Conf]
  49. Edgardo Ferro, Ricardo Cayssials, Omar Alimenti, Javier Orozco
    An evolutionary method to solve the real-time scheduling problem. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:297-303 [Conf]
  50. Gilberto de Menezes Camargo, João Batista Camargo Jr., Jamil Kalil Naufal Jr., Guilherme Matiussi
    Definition of selective pressure control methods for optimization of genetic algorithms in air traffic control. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:304-311 [Conf]
  51. Mark Stelling, Rajkumar Roy, Ashutosh Tiwari, Basim Majeed
    A coding mechanism for business process optimisation using genetic algorithmS: Initial thoughts. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:312-316 [Conf]
  52. W. S. Borisly, A. K. Al-Othman
    Pattern search optimization for solving the load-flow problem. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:317-322 [Conf]
  53. Marcos Gestal, Juan R. Rabuñal, Julian Dorado, Javier Pereira
    Description of ranns and their generalisation capabilities by means of rule extraction by genetic programming. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2006, pp:323-328 [Conf]
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