Accepted Papers
- Recursive Extraction of Modular Structure from Layered Neural Networks Using Variational Bayes Method
- Extracting Mutually Dependent Multisets
- Discovering Minority Sub-clusters and Local Difficulty Factors from Imbalanced Data
- General Meta-Model Framework for Surrogate-Based Numerical Optimization
- Discovery of Salivary Gland Tumors' Biomarkers via Co-Regularized Sparse-Group Lasso
- Mining Strongly Closed Itemsets from Data Streams
- Recommending Collaborative Filtering algorithms using subsampling landmarkers
- On a New Competence Measure Applied to the Dynamic Selection of Classifiers Ensemble
- Measuring the Inspiration Rate of Topics in Bibliographic Networks
- Discovering Hidden Knowledge in Carbon Emissions Data: A Multilayer Network Approach
- Evaluation of Different Heuristics for Accommodating Asymmetric Loss Functions in Predictive Maintenance
- Forecasting Retail Gasoline Prices
- Re-Training Deep Neural Networks to Facilitate Boolean Concept Extraction
- Topic Extraction on Twitter Considering Author's Role based on Bipartite Networks
- Context-based abrupt change detection and adaptation for categorical data streams
- Predicting Risk Level of Executables: an Application of Online Learning
- Differentially Private Empirical Risk Minimization with Input Perturbation
- LOCANDA: exploiting causality in the reconstruction of gene regulatory networks
- Improving Classification Accuracy by means of the Sliding Window Method in Consistency-based Feature Selection
- An In-Depth Experimental Comparison of RNTNs and CNNs for Sentence Modeling
- Multi-label classification using random label subset selections
- Fusion Techniques for Named Entity Recognition and Word Sense Induction and Disambiguation
- Feature ranking for multi-target regression with tree ensemble methods
- Option predictive clustering trees for hierarchical multi-label classification