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16. IDA 2017: London, UK
- Niall M. Adams, Allan Tucker, David John Weston:
Advances in Intelligent Data Analysis XVI - 16th International Symposium, IDA 2017, London, UK, October 26-28, 2017, Proceedings. Lecture Notes in Computer Science 10584, Springer 2017, ISBN 978-3-319-68764-3 - Kevin Bascol, Rémi Emonet, Élisa Fromont, Raluca Debusschere:
Improving Chairlift Security with Deep Learning. 1-13 - Riyadh Benammar, Christine Largeron, Véronique Eglin, Mylène Pardoen:
Discovering Motifs with Variants in Music Databases. 14-26 - Ricardo Cachucho, Siegfried Nijssen, Arno J. Knobbe:
Biclustering Multivariate Time Series. 27-39 - Rafael Augusto Ferreira do Carmo, Soong Moon Kang, Ricardo Silva:
Visualization of Topic-Sentiment Dynamics in Crowdfunding Projects. 40-51 - Emmanuelle Claeys, Pierre Gançarski, Myriam Maumy-Bertrand, Hubert Wassner:
Regression Tree for Bandits Models in A/B Testing. 52-62 - Fabon Dzogang, James Goulding, Stafford Lightman, Nello Cristianini:
Seasonal Variation in Collective Mood via Twitter Content and Medical Purchases. 63-74 - Khalid Eltayef, Yongmin Li, Bashir I. Dodo, Xiaohui Liu:
Skin Cancer Detection in Dermoscopy Images Using Sub-Region Features. 75-86 - Alexander Fillbrunn, Leonard Wörteler, Michael Grossniklaus, Michael R. Berthold:
Bucket Selection: A Model-Independent Diverse Selection Strategy for Widening. 87-98 - Arnaud Giacometti, Arnaud Soulet:
Interactive Pattern Sampling for Characterizing Unlabeled Data. 99-111 - Fragkiskos Gryllakis, Nikos Pelekis, Christos Doulkeridis, Stylianos Sideridis, Yannis Theodoridis:
Searching for Spatio-Temporal-Keyword Patterns in Semantic Trajectories. 112-124 - Abul Hasan, Mark Levene, David J. Weston:
Natural Language Analysis of Online Health Forums. 125-137 - Sen Jia, Thomas Lansdall-Welfare, Nello Cristianini:
Freudian Slips: Analysing the Internal Representations of a Neural Network from Its Mistakes. 138-148 - Isak Karlsson, Panagiotis Papapetrou, Lars Asker:
KAPMiner: Mining Ordered Association Rules with Constraints. 149-161 - Xiaowei Kortum, Lorenz Grigull, Werner Lechner, Frank Klawonn:
A Dynamic Adaptive Questionnaire for Improved Disease Diagnostics. 162-172 - Orestis Kostakis, Panagiotis Papapetrou:
ABIDE: Querying Time-Evolving Sequences of Temporal Intervals. 173-185 - Thomas Lansdall-Welfare, Saatviga Sudhahar, James Thompson, Nello Cristianini:
The Actors of History: Narrative Network Analysis Reveals the Institutions of Power in British Society Between 1800-1950. 186-197 - Arnaud Lods, Simon Malinowski, Romain Tavenard, Laurent Amsaleg:
Learning DTW-Preserving Shapelets. 198-209 - Pierre-Xavier Loeffel, Albert Bifet, Christophe Marsala, Marcin Detyniecki:
Droplet Ensemble Learning on Drifting Data Streams. 210-222 - Vanja Mileski, Saso Dzeroski, Dragi Kocev:
Predictive Clustering Trees for Hierarchical Multi-Target Regression. 223-234 - Nicky Nicolson, Allan Tucker:
Identifying Novel Features from Specimen Data for the Prediction of Valuable Collection Trips. 235-246 - Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Jesús Cid-Sueiro:
Adapting Supervised Classification Algorithms to Arbitrary Weak Label Scenarios. 247-259 - Agus Budi Raharjo, Mohamed Quafafou:
The Combination of Decision in Crowds When the Number of Reliable Annotator Is Scarce. 260-271 - Petr Rysavý, Filip Zelezný:
Estimating Sequence Similarity from Contig Sets. 272-283 - Nicole F. Sanderson, Elliott Shugerman, Samantha Molnar, James D. Meiss, Elizabeth Bradley:
Computational Topology Techniques for Characterizing Time-Series Data. 284-296 - João Santos, Filipa Peleja, Flávio Martins, João Magalhães:
Improving Cold-Start Recommendations with Social-Media Trends and Reputations. 297-309 - Paolo Simeone, Raúl Santos-Rodríguez, Matt McVicar, Jefrey Lijffijt, Tijl De Bie:
Hierarchical Novelty Detection. 310-321 - Vinícius M. A. de Souza, Everton Alvares Cherman, Rafael Geraldeli Rossi, Rafael A. Souza:
Towards Automatic Evaluation of Asphalt Irregularity Using Smartphone's Sensors. 322-333 - Bruno Yun, Srdjan Vesic, Madalina Croitoru, Pierre Bisquert, Rallou Thomopoulos:
A Structural Benchmark for Logical Argumentation Frameworks. 334-346
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