DS B

31 papers

YearTitle / Authors
2016A Comparison of Different Data Transformation Approaches in the Feature Ranking Context.
Matej Petkovic, Pance Panov, Saso Dzeroski
2016A Framework for Classification in Data Streams Using Multi-strategy Learning.
Ali Pesaranghader, Herna L. Viktor, Eric Paquet
2016A Semi-supervised Approach to Measuring User Privacy in Online Social Networks.
Ruggero G. Pensa, Gianpiero di Blasi
2016Accelerating Computation of Distance Based Centrality Measures for Spatial Networks.
Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
2016Anomaly Detection in Networks with Temporal Information.
Fabrizio Angiulli, Fabio Fassetti, Estela Narvaez
2016Approximating Numeric Role Fillers via Predictive Clustering Trees for Knowledge Base Enrichment in the Web of Data.
Giuseppe Rizzo, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
2016DeepRED - Rule Extraction from Deep Neural Networks.
Jan Ruben Zilke, Eneldo Loza Mencía, Frederik Janssen
2016Discovery Science - 19th International Conference, DS 2016, Bari, Italy, October 19-21, 2016, Proceedings
Toon Calders, Michelangelo Ceci, Donato Malerba
2016Early Random Shapelet Forest.
Isak Karlsson, Panagiotis Papapetrou, Henrik Boström
2016Ensemble Diversity in Evolving Data Streams.
Dariusz Brzezinski, Jerzy Stefanowski
2016Evolution Analysis of Call Ego-Networks.
Shazia Tabassum, João Gama
2016Exceptional Preferences Mining.
Cláudio Rebelo de Sá, Wouter Duivesteijn, Carlos Soares, Arno J. Knobbe
2016Expect the Unexpected - On the Significance of Subgroups.
Matthijs van Leeuwen, Antti Ukkonen
2016Exploiting Spatial Correlation of Spectral Signature for Training Data Selection in Hyperspectral Image Classification.
Annalisa Appice, Pietro Guccione
2016HSIM: A Supervised Imputation Method for Hierarchical Classification Scenario.
Leandro Galvão, Luiz H. C. Merschmann
2016InterSet: Interactive Redescription Set Exploration.
Matej Mihelcic, Tomislav Smuc
2016Learning Ensembles of Process-Based Models by Bagging of Random Library Samples.
Nikola Simidjievski, Ljupco Todorovski, Saso Dzeroski
2016Ligand Affinity Prediction with Multi-pattern Kernels.
Katrin Ullrich, Jennifer Mack, Pascal Welke
2016Local Subgroup Discovery for Eliciting and Understanding New Structure-Odor Relationships.
Guillaume Bosc, Jérôme Golebiowski, Moustafa Bensafi, Céline Robardet, Marc Plantevit, Jean-François Boulicaut, Mehdi Kaytoue
2016Min-Hashing for Probabilistic Frequent Subtree Feature Spaces.
Pascal Welke, Tamás Horváth, Stefan Wrobel
2016On Selection Bias with Imbalanced Classes.
Gert Jacobusse, Cor J. Veenman
2016On Using Temporal Networks to Analyze User Preferences Dynamics.
Fabíola Souza F. Pereira, Sandra de Amo, João Gama
2016Option Predictive Clustering Trees for Multi-target Regression.
Aljaz Osojnik, Saso Dzeroski, Dragi Kocev
2016Predicting Bug-Fix Time: Using Standard Versus Topic-Based Text Categorization Techniques.
Pasquale Ardimento, Massimo Bilancia, Stefano Monopoli
2016Predicting Cargo Train Failures: A Machine Learning Approach for a Lightweight Prototype.
Sebastian Kauschke, Johannes Fürnkranz, Frederik Janssen
2016Predicting Wildfires - Propositional and Relational Spatio-Temporal Pre-processing Approaches.
Mariana Oliveira, Luís Torgo, Vítor Santos Costa
2016Recognizing Family, Genus, and Species of Anuran Using a Hierarchical Classification Approach.
Juan Gabriel Colonna, João Gama, Eduardo Freire Nakamura
2016STIFE: A Framework for Feature-Based Classification of Sequences of Temporal Intervals.
Leon Bornemann, Jason Lecerf, Panagiotis Papapetrou
2016Shorter Rules Are Better, Aren't They?
Julius Stecher, Frederik Janssen, Johannes Fürnkranz
2016Soft Kernel Target Alignment for Two-Stage Multiple Kernel Learning.
Huibin Shen, Sándor Szedmák, Céline Brouard, Juho Rousu
2016Unsupervised Anomaly Detection in Noisy Business Process Event Logs Using Denoising Autoencoders.
Timo Nolle, Alexander Seeliger, Max Mühlhäuser