Volume 1, Number 1, 2009

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  Ronald R. Yager: On decision-making with non-standard fuzzy subsets. 3-10
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  Witold Pedrycz: Metastructural facets of granular computing. 11-25
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  Jinsong Leng, Lakhmi C. Jain, Colin Fyfe: Experimental analysis of eligibility traces strategies in temporal difference learning. 26-39
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  A. T. Galecki, S. Chen, J. A. Faulkner, J. Ashton-Miller, Tomasz Burzykowski: Statistical power calculations for clustered continuous data. 40-48
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  Seiichi Ikeda, Yoshiharu Sato: Kernel methods for regression model based on variable selection. 49-62
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  Marie-Jeanne Lesot, Maria Rifqi, H. Benhadda: Similarity measures for binary and numerical data: a survey. 63-84
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  Hara Kostakis, Basilis Boutsinas, Demosthenes B. Panagiotakos, Leo D. Kounis: A computational algorithm for the risk assessment of developing acute coronary syndromes, using online analytical process methodology. 85-99

Volume 1, Number 2, 2009

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  Sotiris B. Kotsiantis: Educational data mining: a case study for predicting dropout-prone students. 101-111
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  Babita Pandey, R. B. Mishra: A novel method for the selection of expert systems using case-based reasoning. 112-138
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  K. Latha, S. Vigneshbabu, R. Rajaram: DETS: a meta heuristic approach for document retrieval. 139-150
• 
  Rozlini Mohamed, Junzo Watada: Logical method for logical operations based on evidential reasoning. 151-172
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  Tsukasa Ishigaki, Tomoyuki Higuchi: Dynamic spectrum classification by kernel classifiers with divergence-based kernels and its applications to acoustic signals. 173-192

Volume 1, Number 3, 2009

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  Leif E. Peterson, Paulo J. G. Lisboa: Editorial. 193-194
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  Daniele Soria, Jonathan M. Garibaldi, Federico Ambrogi, Patrizia Boracchi, Elena Raimondi, Elia Biganzoli: Cancer profiles by affinity propagation. 195-215
• 
  Qingzhong Liu, Mengyu Qiao, Andrew H. Sung: Distance metric learning and support vector machines for classification of mass spectrometry proteomics data. 216-226
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  Ioannis N. Dimou, Michalis E. Zervakis: Error bounds of decision templates and support vector machines in decision fusion. 227-238
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  Leif E. Peterson, Kirill V. Larin: Image classification of artificial fingerprints using Gabor wavelet filters, self-organising maps and Hermite/Laguerre neural networks. 239-256
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  Ana S. Fernandes, José Manuel Fonseca, Ian H. Jarman, Terence A. Etchells, Paulo J. G. Lisboa, Elia Biganzoli, Chris Bajdik: Evaluation of missing data imputation in longitudinal cohort studies in breast cancer survival. 257-276
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  Azzam Fouad George Taktak, Antonio Eleuteri, Min S. Hane Aung, Paulo J. G. Lisboa, Laurence Desjardins, Bertil E. Damato: Survival analysis in cancer using a partial logistic neural network model with Bayesian regularisation framework: a validation study. 277-295

Volume 1, Number 4, 2009

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  Ida Bifulco, Carmine Fedullo, Francesco Napolitano, Giancarlo Raiconi, Roberto Tagliaferri: Multiple data structure discovery through global optimisation, meta clustering and consensus methods. 300-317
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  Roberto Avogadri, Matteo Brioschi, Fulvia Ferrazzi, Matteo Re, Alessandro Beghini, Giorgio Valentini: A stability-based algorithm to validate hierarchical clusters of genes. 318-330
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  Michele Ceccarelli, Antonio Maratea: Concordance indices for comparing fuzzy, possibilistic, rough and grey partitions. 331-344
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  Massimo La Rosa, Salvatore Gaglio, Riccardo Rizzo, Alfonso Urso: Normalised compression distance and evolutionary distance of genomic sequences: comparison of clustering results. 345-362
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  Maurizio Filippone, Francesco Masulli, Stefano Rovetta: Clustering in the membership embedding space. 363-375
• 
  Vito Di Gesù, Giosuè Lo Bosco, Luca Pinello: A one class KNN for signal identification: a biological case study. 376-389

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