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ORCID20th DS 2017: Kyoto, Japan
- Akihiro Yamamoto, Takuya Kida, Takeaki Uno, Tetsuji Kuboyama:
Discovery Science - 20th International Conference, DS 2017, Kyoto, Japan, October 15-17, 2017, Proceedings. Lecture Notes in Computer Science 10558, Springer 2017, ISBN 978-3-319-67785-9
Online Learning
- Sarah D'Ettorre, Herna L. Viktor, Eric Paquet:
Context-Based Abrupt Change Detection and Adaptation for Categorical Data Streams. 3-17 - Huynh Ngoc Anh, Wee Keong Ng
, Kanishka Ariyapala:
A New Adaptive Learning Algorithm and Its Application to Online Malware Detection. 18-32 - Mondelle Simeon, Howard J. Hamilton:
Real-Time Validation of Retail Gasoline Prices. 33-47
Regression
- Ziga Luksic, Jovan Tanevski, Saso Dzeroski, Ljupco Todorovski:
General Meta-Model Framework for Surrogate-Based Numerical Optimization. 51-66 - Andrei Tolstikov, Frederik Janssen, Johannes Fürnkranz:
Evaluation of Different Heuristics for Accommodating Asymmetric Loss Functions in Regression. 67-81 - Kazuto Fukuchi, Quang Khai Tran, Jun Sakuma:
Differentially Private Empirical Risk Minimization with Input Perturbation. 82-90
Label Classification
- Marek Kurzynski, Pawel Trajdos:
On a New Competence Measure Applied to the Dynamic Selection of Classifiers Ensemble. 93-107 - Martin Breskvar, Dragi Kocev, Saso Dzeroski:
Multi-label Classification Using Random Label Subset Selections. 108-115 - Tomaz Stepisnik Perdih, Aljaz Osojnik, Saso Dzeroski, Dragi Kocev:
Option Predictive Clustering Trees for Hierarchical Multi-label Classification. 116-123
Deep Learning
- Camila González, Eneldo Loza Mencía, Johannes Fürnkranz:
Re-training Deep Neural Networks to Facilitate Boolean Concept Extraction. 127-143 - Zahra Ahmadi, Marcin Skowron, Aleksandrs Stier, Stefan Kramer:
An In-Depth Experimental Comparison of RNTNs and CNNs for Sentence Modeling. 144-152
Feature Selection
- Adrian Pino Angulo, Kilho Shin:
Improving Classification Accuracy by Means of the Sliding Window Method in Consistency-Based Feature Selection. 155-170 - Matej Petkovic, Saso Dzeroski, Dragi Kocev:
Feature Ranking for Multi-target Regression with Tree Ensemble Methods. 171-185
Recommendation System
- Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho:
Recommending Collaborative Filtering Algorithms Using Subsampling Landmarkers. 189-203
Community Detection
- Chihiro Watanabe, Kaoru Hiramatsu, Kunio Kashino:
Recursive Extraction of Modular Structure from Layered Neural Networks Using Variational Bayes Method. 207-222 - Kartikeya Bhardwaj, HingOn Miu, Radu Marculescu:
Discovering Hidden Knowledge in Carbon Emissions Data: A Multilayer Network Approach. 223-238 - Takako Hashimoto, Tetsuji Kuboyama, Hiroshi Okamoto, Kilho Shin:
Topic Extraction on Twitter Considering Author's Role Based on Bipartite Networks. 239-247
Pattern Mining
- Daniel Trabold, Tamás Horváth:
Mining Strongly Closed Itemsets from Data Streams. 251-266 - Natsuki Kiyota, Sho Shimamura, Kouichi Hirata:
Extracting Mutually Dependent Multisets. 267-280
Bioinformatics
- Gianvito Pio, Michelangelo Ceci, Francesca Prisciandaro, Donato Malerba:
LOCANDA: Exploiting Causality in the Reconstruction of Gene Regulatory Networks. 283-297 - Sultan Imangaliyev, Johannes H. Matse, Jan G. M. Bolscher, Ruud H. Brakenhoff, David T. W. Wong, Elisabeth Bloemena, Enno C. I. Veerman, Evgeni Levin:
Discovery of Salivary Gland Tumors' Biomarkers via Co-Regularized Sparse-Group Lasso. 298-305
Knowledge Discovery
- Livio Bioglio, Valentina Rho, Ruggero G. Pensa:
Measuring the Inspiration Rate of Topics in Bibliographic Networks. 309-323 - Mateusz Lango, Dariusz Brzezinski, Sebastian Firlik, Jerzy Stefanowski:
Discovering Minority Sub-clusters and Local Difficulty Factors from Imbalanced Data. 324-339 - Edmundo-Pavel Soriano-Morales, Julien Ah-Pine, Sabine Loudcher:
Fusion Techniques for Named Entity Recognition and Word Sense Induction and Disambiguation. 340-355
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