Accepted Papers

  • Chihiro Watanabe, Kaoru Hiramatsu and Kunio Kashino. Recursive Extraction of Modular Structure from Layered Neural Networks Using Variational Bayes Method
  • Natsuki Kiyota, Sho Shimamura and Kouichi Hirata. Extracting Mutually Dependent Multisets
  • Mateusz Lango, Dariusz Brzezinski, Sebastian Firlik and Jerzy Stefanowski. Discovering Minority Sub-clusters and Local Difficulty Factors from Imbalanced Data
  • Žiga Lukšič, Jovan Tanevski, Sašo Džeroski and Ljupčo Todorovski. General Meta-Model Framework for Surrogate-Based Numerical Optimization
  • Sultan Imangaliyev, Johannes Matse, Jan Bolscher, Ruud Brakenhoff, David Wong, Elisabeth Bloemena, Enno Veerman and Evgeni Levin. Discovery of Salivary Gland Tumors' Biomarkers via Co-Regularized Sparse-Group Lasso
  • Daniel Trabold and Tamas Horvath. Mining Strongly Closed Itemsets from Data Streams
  • Tiago Cunha, Carlos Soares and André C. P. L. F. de Carvalho. Recommending Collaborative Filtering algorithms using subsampling landmarkers
  • Marek Kurzynski. On a New Competence Measure Applied to the Dynamic Selection of Classifiers Ensemble
  • Livio Bioglio, Valentina Rho and Ruggero G. Pensa. Measuring the Inspiration Rate of Topics in Bibliographic Networks
  • Kartikeya Bhardwaj, Hingon Miu and Radu Marculescu. Discovering Hidden Knowledge in Carbon Emissions Data: A Multilayer Network Approach
  • Andrei Tolstikov, Frederik Janssen and Johannes Fürnkranz. Evaluation of Different Heuristics for Accommodating Asymmetric Loss Functions in Predictive Maintenance
  • Mondelle Simeon and Howard Hamilton. Forecasting Retail Gasoline Prices
  • Camila González, Eneldo Loza Mencía and Johannes Fürnkranz. Re-Training Deep Neural Networks to Facilitate Boolean Concept Extraction
  • Takako Hashimoto and Tetsuji Kuboyama. Topic Extraction on Twitter Considering Author's Role based on Bipartite Networks
  • Sarah D'Ettorre, Herna Viktor and Eric Paquet. Context-based abrupt change detection and adaptation for categorical data streams
  • Ngoc Anh Huynh, Wee Keong Ng and Kanishka Ariyapala. Predicting Risk Level of Executables: an Application of Online Learning
  • Kazuto Fukuchi, Quang Khai Tran and Jun Sakuma. Differentially Private Empirical Risk Minimization with Input Perturbation
  • Gianvito Pio, Michelangelo Ceci, Francesca Prisciandaro and Donato Malerba. LOCANDA: exploiting causality in the reconstruction of gene regulatory networks
  • Adrian Pino and Kilho Shin. Improving Classification Accuracy by means of the Sliding Window Method in Consistency-based Feature Selection
  • Zahra Ahmadi, Marcin Skowron, Aleksandrs Stier and Stefan Kramer. An In-Depth Experimental Comparison of RNTNs and CNNs for Sentence Modeling
  • Martin Breskvar, Dragi Kocev and Sašo Džeroski. Multi-label classification using random label subset selections
  • Edmundo Pavel Soriano Morales, Julien Ah-Pine and Sabine Loudcher. Fusion Techniques for Named Entity Recognition and Word Sense Induction and Disambiguation
  • Matej Petković, Sašo Džeroski and Dragi Kocev. Feature ranking for multi-target regression with tree ensemble methods
  • Tomaž Stepišnik Perdih, Aljaž Osojnik, Sašo Džeroski and Dragi Kocev. Option predictive clustering trees for hierarchical multi-label classification