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ORCID15. IDA 2016: Stockholm, Sweden
- Henrik Boström, Arno J. Knobbe, Carlos Soares
, Panagiotis Papapetrou:
Advances in Intelligent Data Analysis XV - 15th International Symposium, IDA 2016, Stockholm, Sweden, October 13-15, 2016, Proceedings. Lecture Notes in Computer Science 9897, 2016, ISBN 978-3-319-46348-3 - Daoyuan Li, Tegawendé F. Bissyandé, Jacques Klein, Yves Le Traon:
DSCo-NG: A Practical Language Modeling Approach for Time Series Classification. 1-13 - Nasser Davarzani, Ralf Peeters, Evgueni N. Smirnov, Joël M. H. Karel, Hans-Peter Brunner-La Rocca:
Ranking Accuracy for Logistic-GEE Models. 14-25 - Livia Teernstra, Peter van der Putten, Liesbeth Noordegraaf-Eelens, Fons J. Verbeek:
The Morality Machine: Tracking Moral Values in Tweets. 26-37 - Mouna Ben Ishak, Philippe Leray, Nahla Ben Amor:
A Hybrid Approach for Probabilistic Relational Models Structure Learning. 38-49 - Deepak Soekhoe, Peter van der Putten, Aske Plaat:
On the Impact of Data Set Size in Transfer Learning Using Deep Neural Networks. 50-60 - Christian Braune, Marco Dankel, Rudolf Kruse:
Obtaining Shape Descriptors from a Concave Hull-Based Clustering Algorithm. 61-72 - Tobias Sobek, Frank Höppner:
Visual Perception of Discriminative Landmarks in Classified Time Series. 73-85 - Fabio Del Vigna, Marco Avvenuti, Clara Bacciu, Paolo Deluca, Marinella Petrocchi, Andrea Marchetti, Maurizio Tesconi:
Spotting the Diffusion of New Psychoactive Substances over the Internet. 86-97 - Syed Murtaza Hassan, Luís Moreira-Matias, Jihed Khiari, Oded Cats:
Feature Selection Issues in Long-Term Travel Time Prediction. 98-109 - Gianni Costa, Riccardo Ortale:
A Mean-Field Variational Bayesian Approach to Detecting Overlapping Communities with Inner Roles Using Poisson Link Generation. 110-122 - Ricardo Teixeira Sousa, João Gama:
Online Semi-supervised Learning for Multi-target Regression in Data Streams Using AMRules. 123-133 - Jim O'Donoghue, Mark Roantree:
A Toolkit for Analysis of Deep Learning Experiments. 134-145 - James Brofos, Rui Shu, Frank Zhang:
The Optimistic Method for Model Estimation. 146-157 - Martijn J. Post, Peter van der Putten, Jan N. van Rijn:
Does Feature Selection Improve Classification? A Large Scale Experiment in OpenML. 158-170 - Pedro Saleiro, Carlos Soares:
Learning from the News: Predicting Entity Popularity on Twitter. 171-182 - Sami Dhahbi, Walid Barhoumi, Ezzeddine Zagrouba:
Multi-scale Kernel PCA and Its Application to Curvelet-Based Feature Extraction for Mammographic Mass Characterization. 183-191 - Pierre Holat, Nadi Tomeh, Thierry Charnois, Delphine Battistelli, Marie-Christine Jaulent, Jean-Philippe Métivier:
Weakly-Supervised Symptom Recognition for Rare Diseases in Biomedical Text. 192-203 - Petr Rysavý, Filip Zelezný:
Estimating Sequence Similarity from Read Sets for Clustering Sequencing Data. 204-214 - Oliver R. Sampson, Michael R. Berthold:
Widened Learning of Bayesian Network Classifiers. 215-225 - Antonio Neme, Omar Neme:
Vote Buying Detection via Independent Component Analysis. 226-236 - Kata Gábor, Haïfa Zargayouna, Isabelle Tellier, Davide Buscaldi, Thierry Charnois:
Unsupervised Relation Extraction in Specialized Corpora Using Sequence Mining. 237-248 - David John Weston:
A Framework for Interpolating Scattered Data Using Space-Filling Curves. 249-260 - Josenildo Costa da Silva, Matthias Klusch, Stefano Lodi:
Privacy-Awareness of Distributed Data Clustering Algorithms Revisited. 261-272 - Lazhar Labiod, Mohamed Nadif:
Bi-stochastic Matrix Approximation Framework for Data Co-clustering. 273-283 - Gabriella Contardo, Ludovic Denoyer, Thierry Artières:
Sequential Cost-Sensitive Feature Acquisition. 284-294 - Jesper E. van Engelen, Hanjo D. Boekhout, Frank W. Takes:
Explainable and Efficient Link Prediction in Real-World Network Data. 295-307 - Karel Vaculík, Lubos Popelínský:
DGRMiner: Anomaly Detection and Explanation in Dynamic Graphs. 308-319 - Julien Ah-Pine, Xinyu Wang:
Similarity Based Hierarchical Clustering with an Application to Text Collections. 320-331 - Eduardo Haruo Kamioka, André Freitas, Frederico Tommasi Caroli, Siegfried Handschuh:
Determining Data Relevance Using Semantic Types and Graphical Interpretation Cues. 332-342 - Joshua Garland, Tyler R. Jones, Elizabeth Bradley, Ryan G. James, James W. C. White:
A First Step Toward Quantifying the Climate's Information Production over the Last 68, 000 Years. 343-355 - Frank Klawonn, Junxi Wang, Ina Koch, Jörg Eberhard, Mohamed Omar:
HAUCA Curves for the Evaluation of Biomarker Pilot Studies with Small Sample Sizes and Large Numbers of Features. 356-367 - Andreas Weiler, Jöran Beel, Bela Gipp, Michael Grossniklaus:
Stability Evaluation of Event Detection Techniques for Twitter. 368-380 - Camila Ferreira Costa, Mario A. Nascimento:
IDA 2016 Industrial Challenge: Using Machine Learning for Predicting Failures. 381-386 - Ezgi Can Ozan, Ekaterina Riabchenko, Serkan Kiranyaz, Moncef Gabbouj:
An Optimized k-NN Approach for Classification on Imbalanced Datasets with Missing Data. 387-392 - Vítor Cerqueira, Fábio Pinto, Cláudio Rebelo de Sá, Carlos Soares:
Combining Boosted Trees with Metafeature Engineering for Predictive Maintenance. 393-397 - Christopher Gondek, Daniel Hafner, Oliver R. Sampson:
Prediction of Failures in the Air Pressure System of Scania Trucks Using a Random Forest and Feature Engineering. 398-402
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