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ORCID14. IDA 2015: Saint Etienne, France
- Élisa Fromont, Tijl De Bie, Matthijs van Leeuwen:
Advances in Intelligent Data Analysis XIV - 14th International Symposium, IDA 2015, Saint Etienne, France, October 22-24, 2015, Proceedings. Lecture Notes in Computer Science 9385, Springer 2015, ISBN 978-3-319-24464-8 - Vincent Armant, John Horan, Nahid Mabub, Kenneth N. Brown:
Data Analytics and Optimisation for Assessing a Ride Sharing System. 1-12 - Behrouz Babaki
, Tias Guns, Siegfried Nijssen, Luc De Raedt:
Constraint-Based Querying for Bayesian Network Exploration. 13-24 - Georgios Balikas, Ioannis Partalas, Éric Gaussier, Rohit Babbar, Massih-Reza Amini:
Efficient Model Selection for Regularized Classification by Exploiting Unlabeled Data. 25-36 - Alessandro Baroni, Salvatore Ruggieri:
Segregation Discovery in a Social Network of Companies. 37-48 - Leonor Becerra-Bonache, Hendrik Blockeel, María Galván, François Jacquenet:
A First-Order-Logic Based Model for Grounded Language Learning. 49-60 - Alexander Belousov, Joel Ratsaby:
A Parallel Distributed Processing Algorithm for Image Feature Extraction. 61-71 - Hanen Borchani, Ana M. Martínez, Andrés R. Masegosa, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón, Antonio Fernández, Anders L. Madsen, Ramón Sáez:
Modeling Concept Drift: A Probabilistic Graphical Model Based Approach. 72-83 - Alexander Fillbrunn, Michael R. Berthold:
Diversity-Driven Widening of Hierarchical Agglomerative Clustering. 84-94 - Fabian Gieseke, Tapio Pahikkala, Tom Heskes:
Batch Steepest-Descent-Mildest-Ascent for Interactive Maximum Margin Clustering. 95-107 - Rafael Giusti, Diego Furtado Silva, Gustavo E. A. P. A. Batista:
Time Series Classification with Representation Ensembles. 108-119 - Abul Hasnat, Julien Velcin, Stéphane Bonnevay, Julien Jacques:
Simultaneous Clustering and Model Selection for Multinomial Distribution: A Comparative Study. 120-131 - Bikash Joshi, Massih-Reza Amini, Ioannis Partalas, Liva Ralaivola, Nicolas Usunier, Éric Gaussier:
On Binary Reduction of Large-Scale Multiclass Classification Problems. 132-144 - Daniel Kottke, Georg Krempl, Myra Spiliopoulou:
Probabilistic Active Learning in Datastreams. 145-157 - Jesse H. Krijthe, Marco Loog:
Implicitly Constrained Semi-supervised Least Squares Classification. 158-169 - Charlotte Laclau, Mohamed Nadif:
Diagonal Co-clustering Algorithm for Document-Word Partitioning. 170-180 - David Combe, Christine Largeron, Mathias Géry, Elöd Egyed-Zsigmond:
I-Louvain: An Attributed Graph Clustering Method. 181-192 - Leona Nezvalová, Lubos Popelínský, Luís Torgo, Karel Vaculík:
Class-Based Outlier Detection: Staying Zombies or Awaiting for Resurrection? 193-204 - Mohammad Nozari Zarmehri, Carlos Soares:
Using Metalearning for Prediction of Taxi Trip Duration Using Different Granularity Levels. 205-216 - Laurence Anthony F. Park, Simeon Simoff:
Using Entropy as a Measure of Acceptance for Multi-label Classification. 217-228 - Thilina Rathnayake, Maheshakya Wijewardena, Thimal Kempitiya, Kevin Rathnasekara, Thushan Ganegedara, Amal Shehan Perera, Damminda Alahakoon:
Investigation of Node Deletion Techniques for Clustering Applications of Growing Self Organizing Maps. 229-240 - Samuel Rönnqvist:
Exploratory Topic Modeling with Distributional Semantics. 241-252 - Randall Sanborn, Michael Farmer, Syagnik Banerjee:
Assigning Geo-relevance of Sentiments Mined from Location-Based Social Media Posts. 253-263 - Nataliya Sokolovska, Salwa Rizkalla, Karine Clément, Jean-Daniel Zucker:
Continuous and Discrete Deep Classifiers for Data Integration. 264-274 - Yuriy Sverchkov, Gregory F. Cooper:
A Bayesian Approach for Identifying Multivariate Differences Between Groups. 275-285 - Jan Van Haaren, Vladimir Dzyuba, Siebe Hannosset, Jesse Davis:
Automatically Discovering Offensive Patterns in Soccer Match Data. 286-297 - Jan N. van Rijn, Salisu Mamman Abdulrahman, Pavel Brazdil, Joaquin Vanschoren:
Fast Algorithm Selection Using Learning Curves. 298-309 - Bas van Stein, Hao Wang, Wojtek Kowalczyk, Thomas Bäck, Michael Emmerich:
Optimally Weighted Cluster Kriging for Big Data Regression. 310-321 - Denny Verbeeck, Hendrik Blockeel:
Slower Can Be Faster: The iRetis Incremental Model Tree Learner. 322-333 - Xiaowei Zhang, Frank Klawonn, Lorenz Grigull, Werner Lechner:
VoQs: A Web Application for Visualization of Questionnaire Surveys. 334-343
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