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ORCID18th DS 2015: Banff, AB, Canada
- Nathalie Japkowicz, Stan Matwin
:
Discovery Science - 18th International Conference, DS 2015, Banff, AB, Canada, October 4-6, 2015, Proceedings. Lecture Notes in Computer Science 9356, Springer 2015, ISBN 978-3-319-24281-1 - Prem Raj Adhikari, Jaakko Hollmén:
Resolution Transfer in Cancer Classification Based on Amplification Patterns. 1-8 - Annalisa Appice, Sonja Pravilovic, Antonietta Lanza, Donato Malerba:
Very Short-Term Wind Speed Forecasting Using Spatio-Temporal Lazy Learning. 9-16 - Judith Bjorndahl, Ashley Herman, Richard Hamilton, Howard J. Hamilton, Mark Brigham:
Discovery of Parameters for Animation of Midge Swarms. 17-24 - Victoria Bobicev, Marina Sokolova:
No Sentiment is an Island - Sentiment Classification on Medical Forums. 25-32 - Benedikt Budig, Thomas C. van Dijk:
Active Learning for Classifying Template Matches in Historical Maps. 33-47 - Carlos Eduardo Cancino Chacón, Maarten Grachten:
An Evaluation of Score Descriptors Combined with Non-linear Models of Expressive Dynamics in Music. 48-62 - Maha El Meseery, Orland Hoeber:
Geo-Coordinated Parallel Coordinates (GCPC): A Case Study of Environmental Data Analysis. 63-77 - Linus Hermansson, Fredrik D. Johansson, Osamu Watanabe:
Generalized Shortest Path Kernel on Graphs. 78-85 - Dragi Kocev, Michelangelo Ceci:
Ensembles of Extremely Randomized Trees for Multi-target Regression. 86-100 - Georg Krempl, Tuan Cuong Ha, Myra Spiliopoulou:
Clustering-Based Optimised Probabilistic Active Learning (COPAL). 101-115 - Xiao Luo, Revanth Nadanasabapathy, Nur Zincir-Heywood, Keith Gallant, Janith Peduruge:
Predictive Analysis on Tracking Emails for Targeted Marketing. 116-130 - Pawel Matuszyk, Myra Spiliopoulou:
Semi-supervised Learning for Stream Recommender Systems. 131-145 - Mohammad Hossein Nikravan, Ashwani Kumar, Sandra Zilles:
Detecting Transmembrane Proteins Using Decision Trees. 146-160 - Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda:
Change Point Detection for Information Diffusion Tree. 161-169 - Aljaz Osojnik, Pance Panov, Saso Dzeroski:
Multi-label Classification via Multi-target Regression on Data Streams. 170-185 - Keisuke Otaki, Akihiro Yamamoto:
Periodical Skeletonization for Partially Periodic Pattern Mining. 186-200 - Diogo Pinto, Pedro Costa, Rui Camacho, Vítor Santos Costa:
Predicting Drugs Adverse Side-Effects Using a Recommender-System. 201-208 - Francesco Ronzano, Horacio Saggion:
Dr. Inventor Framework: Extracting Structured Information from Scientific Publications. 209-220 - Leander Schietgat, Thomas Fannes, Jan Ramon:
Predicting Protein Function and Protein-Ligand Interaction with the 3D Neighborhood Kernel. 221-235 - Francesco Serafino, Gianvito Pio, Michelangelo Ceci, Donato Malerba:
Hierarchical Multidimensional Classification of Web Documents with MultiWebClass. 236-250 - Credell Simeon, Robert J. Hilderman:
Evaluating the Effectiveness of Hashtags as Predictors of the Sentiment of Tweets. 251-265 - Einoshin Suzuki:
On the Feasibility of Discovering Meta-Patterns from a Data Ensemble. 266-274 - Koji Tabata, Atsuyoshi Nakamura, Mineichi Kudo:
An Algorithm for Influence Maximization in a Two-Terminal Series Parallel Graph and its Application to a Real Network. 275-283 - Serdar Baran Tatar, Andrew R. McIntyre, Nur Zincir-Heywood, Malcolm I. Heywood:
Benchmarking Stream Clustering for Churn Detection in Dynamic Networks. 284-298 - Viivi Uurtio, Malin Bomberg, Kristian Nybo, Merja Itävaara, Juho Rousu:
Canonical Correlation Methods for Exploring Microbe-Environment Interactions in Deep Subsurface. 299-307 - Laurens Wiel, Tom Heskes, Evgeni Levin:
KeCo: Kernel-Based Online Co-agreement Algorithm. 308-315 - Tomoya Yamazaki, Akihiro Yamamoto, Tetsuji Kuboyama:
Tree PCA for Extracting Dominant Substructures from Labeled Rooted Trees. 316-323 - Hongjie Zhai, Makoto Haraguchi, Yoshiaki Okubo, Etsuji Tomita:
Enumerating Maximal Clique Sets with Pseudo-Clique Constraint. 324-339
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