Abstract is missing.
- Learning Association Rules for Pharmacogenomic StudiesGiuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro 0001. 1-15 [doi]
- Segment-Removal Based Stuttered Speech RemediationPierre Arbajian, Ayman Hajja, Zbigniew W. Ras, Alicja A. Wieczorkowska. 16-34 [doi]
- Identifying lncRNA-Disease Relationships via Heterogeneous ClusteringEmanuele Pio Barracchia, Gianvito Pio, Donato Malerba, Michelangelo Ceci. 35-48 [doi]
- Density Estimators for Positive-Unlabeled LearningTeresa Maria Altomare Basile, Nicola Di Mauro, Floriana Esposito, Stefano Ferilli, Antonio Vergari. 49-64 [doi]
- Combinatorial Optimization Algorithms to Mine a Sub-Matrix of Maximal SumVincent Branders, Pierre Schaus, Pierre Dupont. 65-79 [doi]
- A Scaled-Correlation Based Approach for Defining and Analyzing Functional NetworksSamuel Dolean, Mihaela Dînsoreanu, Raul Cristian Muresan, Attila Geiszt, Rodica Potolea, Ioana Tincas. 80-92 [doi]
- Complex Localization in the Multiple Instance Learning ContextDan-Ovidiu Graur, Razvan-Alexandru Maris, Rodica Potolea, Mihaela Dînsoreanu, Camelia Lemnaru. 93-106 [doi]
- Integrating a Framework for Discovering Alternative App Stores in a Mobile App Monitoring PlatformMassimo Guarascio, Ettore Ritacco, Daniele Biondo, Rocco Mammoliti, Alessandra Toma. 107-121 [doi]
- Usefulness of Unsupervised Ensemble Learning Methods for Time Series Forecasting of Aggregated or Clustered LoadPeter Laurinec, Mária Lucká. 122-137 [doi]
- Phenotype Prediction with Semi-supervised Classification TreesJurica Levatic, Maria Brbic, Tomaz Stepisnik Perdih, Dragi Kocev, Vedrana Vidulin, Tomislav Smuc, Fran Supek, Saso Dzeroski. 138-150 [doi]
- Structuring the Output Space in Multi-label Classification by Using Feature RankingStevanche Nikoloski, Dragi Kocev, Saso Dzeroski. 151-166 [doi]
- Infinite Mixtures of Markov ChainsJan Reubold, Ahcène Boubekki, Thorsten Strufe, Ulf Brefeld. 167-181 [doi]
- Community-Based Semantic Subgroup DiscoveryBlaz Skrlj, Jan Kralj, Anze Vavpetic, Nada Lavrac. 182-196 [doi]