Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018, Proceedings, Part III

Front Matter ....Pages I-XXXI
Front Matter ....Pages 1-1
 Neural Article Pair Modeling for Wikipedia Sub-article Matching  (Muhao Chen, Changping Meng, Gang Huang, Carlo Zaniolo)....Pages 3-19
 LinNet: Probabilistic Lineup Evaluation Through Network Embedding  (Konstantinos Pelechrinis)....Pages 20-36
 Improving Emotion Detection with Sub-clip Boosting  (Ermal Toto, Brendan J. Foley, Elke A. Rundensteiner)....Pages 37-52
 Machine Learning for Targeted Assimilation of Satellite Data  (Yu-Ju Lee, David Hall, Jebb Stewart, Mark Govett)....Pages 53-68
 From Empirical Analysis to Public Policy: Evaluating Housing Systems for Homeless Youth  (Hau Chan, Eric Rice, Phebe Vayanos, Milind Tambe, Matthew Morton)....Pages 69-85
 Discovering Groups of Signals in In-Vehicle Network Traces for Redundancy Detection and Functional Grouping  (Artur Mrowca, Barbara Moser, Stephan Günnemann)....Pages 86-102
Front Matter ....Pages 103-103
 SPEEDING Up the Metabolism in E-commerce by Reinforcement Mechanism DESIGN  (Hua-Lin He, Chun-Xiang Pan, Qing Da, An-Xiang Zeng)....Pages 105-119
 Discovering Bayesian Market Views for Intelligent Asset Allocation  (Frank Z. Xing, Erik Cambria, Lorenzo Malandri, Carlo Vercellis)....Pages 120-135
 Intent-Aware Audience Targeting for Ride-Hailing Service  (Yuan Xia, Jingbo Zhou, Jingjia Cao, Yanyan Li, Fei Gao, Kun Liu et al.)....Pages 136-151
 A Recurrent Neural Network Survival Model: Predicting Web User Return Time  (Georg L. Grob, Ângelo Cardoso, C. H. Bryan Liu, Duncan A. Little, Benjamin Paul Chamberlain)....Pages 152-168
 Implicit Linking of Food Entities in Social Media  (Wen-Haw Chong, Ee-Peng Lim)....Pages 169-185
 A Practical Deep Online Ranking System in E-commerce Recommendation  (Yan Yan, Zitao Liu, Meng Zhao, Wentao Guo, Weipeng P. Yan, Yongjun Bao)....Pages 186-201
Front Matter ....Pages 203-203
 Helping Your Docker Images to Spread Based on Explainable Models  (Riccardo Guidotti, Jacopo Soldani, Davide Neri, Antonio Brogi, Dino Pedreschi)....Pages 205-221
 ST-DenNetFus: A New Deep Learning Approach for Network Demand Prediction  (Haytham Assem, Bora Caglayan, Teodora Sandra Buda, Declan O’Sullivan)....Pages 222-237
 On Optimizing Operational Efficiency in Storage Systems via Deep Reinforcement Learning  (Sunil Srinivasa, Girish Kathalagiri, Julu Subramanyam Varanasi, Luis Carlos Quintela, Mohamad Charafeddine, Chi-Hoon Lee)....Pages 238-253
 Automating Layout Synthesis with Constructive Preference Elicitation  (Luca Erculiani, Paolo Dragone, Stefano Teso, Andrea Passerini)....Pages 254-270
 Configuration of Industrial Automation Solutions Using Multi-relational Recommender Systems  (Marcel Hildebrandt, Swathi Shyam Sunder, Serghei Mogoreanu, Ingo Thon, Volker Tresp, Thomas Runkler)....Pages 271-287
 Learning Cheap and Novel Flight Itineraries  (Dmytro Karamshuk, David Matthews)....Pages 288-304
 Towards Resource-Efficient Classifiers for Always-On Monitoring  (Jonas Vlasselaer, Wannes Meert, Marian Verhelst)....Pages 305-321
Front Matter ....Pages 323-323
 Uncertainty Modelling in Deep Networks: Forecasting Short and Noisy Series  (Axel Brando, Jose A. Rodríguez-Serrano, Mauricio Ciprian, Roberto Maestre, Jordi Vitrià)....Pages 325-340
 Using Reinforcement Learning to Conceal Honeypot Functionality  (Seamus Dowling, Michael Schukat, Enda Barrett)....Pages 341-355
 Flexible Inference for Cyberbully Incident Detection  (Haoti Zhong, David J. Miller, Anna Squicciarini)....Pages 356-371
 Solving the False Positives Problem in Fraud Prediction Using Automated Feature Engineering  (Roy Wedge, James Max Kanter, Kalyan Veeramachaneni, Santiago Moral Rubio, Sergio Iglesias Perez)....Pages 372-388
 Learning Tensor-Based Representations from Brain-Computer Interface Data for Cybersecurity  (Md. Lutfor Rahman, Sharmistha Bardhan, Ajaya Neupane, Evangelos Papalexakis, Chengyu Song)....Pages 389-404
Front Matter ....Pages 405-405
 Can We Assess Mental Health Through Social Media and Smart Devices? Addressing Bias in Methodology and Evaluation  (Adam Tsakalidis, Maria Liakata, Theo Damoulas, Alexandra I. Cristea)....Pages 407-423
 AMIE: Automatic Monitoring of Indoor Exercises  (Tom Decroos, Kurt Schütte, Tim Op De Beéck, Benedicte Vanwanseele, Jesse Davis)....Pages 424-439
 Rough Set Theory as a Data Mining Technique: A Case Study in Epidemiology and Cancer Incidence Prediction  (Zaineb Chelly Dagdia, Christine Zarges, Benjamin Schannes, Martin Micalef, Lino Galiana, Benoît Rolland et al.)....Pages 440-455
 Bayesian Best-Arm Identification for Selecting Influenza Mitigation Strategies  (Pieter J. K. Libin, Timothy Verstraeten, Diederik M. Roijers, Jelena Grujic, Kristof Theys, Philippe Lemey et al.)....Pages 456-471
 Hypotensive Episode Prediction in ICUs via Observation Window Splitting  (Elad Tsur, Mark Last, Victor F. Garcia, Raphael Udassin, Moti Klein, Evgeni Brotfain)....Pages 472-487
 Equipment Health Indicator Learning Using Deep Reinforcement Learning  (Chi Zhang, Chetan Gupta, Ahmed Farahat, Kosta Ristovski, Dipanjan Ghosh)....Pages 488-504
Front Matter ....Pages 505-505
 PBE: Driver Behavior Assessment Beyond Trajectory Profiling  (Bing He, Xiaolin Chen, Dian Zhang, Siyuan Liu, Dawei Han, Lionel M. Ni)....Pages 507-523
 Accurate WiFi-Based Indoor Positioning with Continuous Location Sampling  (J. E. van Engelen, J. J. van Lier, F. W. Takes, H. Trautmann)....Pages 524-540
 Human Activity Recognition with Convolutional Neural Networks  (Antonio Bevilacqua, Kyle MacDonald, Aamina Rangarej, Venessa Widjaya, Brian Caulfield, Tahar Kechadi)....Pages 541-552
 Urban Sensing for Anomalous Event Detection:  (Masoomeh Zameni, Mengyi He, Masud Moshtaghi, Zahra Ghafoori, Christopher Leckie, James C. Bezdek et al.)....Pages 553-568
 Combining Bayesian Inference and Clustering for Transport Mode Detection from Sparse and Noisy Geolocation Data  (Danya Bachir, Ghazaleh Khodabandelou, Vincent Gauthier, Mounim El Yacoubi, Eric Vachon)....Pages 569-584
 CentroidNet: A Deep Neural Network for Joint Object Localization and Counting  (K. Dijkstra, J. van de Loosdrecht, L. R. B. Schomaker, M. A. Wiering)....Pages 585-601
 Deep Modular Multimodal Fusion on Multiple Sensors for Volcano Activity Recognition  (Hiep V. Le, Tsuyoshi Murata, Masato Iguchi)....Pages 602-617
Front Matter ....Pages 619-619
 Matrix Completion Under Interval Uncertainty: Highlights  (Jakub Marecek, Peter Richtarik, Martin Takac)....Pages 621-625
 A Two-Step Approach for the Prediction of Mood Levels Based on Diary Data  (Vincent Bremer, Dennis Becker, Tobias Genz, Burkhardt Funk, Dirk Lehr)....Pages 626-629
 Best Practices to Train Deep Models on Imbalanced Datasets—A Case Study on Animal Detection in Aerial Imagery  (Benjamin Kellenberger, Diego Marcos, Devis Tuia)....Pages 630-634
 Deep Query Ranking for Question Answering over Knowledge Bases  (Hamid Zafar, Giulio Napolitano, Jens Lehmann)....Pages 635-638
 Machine Learning Approaches to Hybrid Music Recommender Systems  (Andreu Vall, Gerhard Widmer)....Pages 639-642
Front Matter ....Pages 643-643
 IDEA: An Interactive Dialogue Translation Demo System Using Furhat Robots  (Jinhua Du, Darragh Blake, Longyue Wang, Clare Conran, Declan Mckibben, Andy Way)....Pages 645-648
 RAPID: Real-time Analytics Platform for Interactive Data Mining  (Kwan Hui Lim, Sachini Jayasekara, Shanika Karunasekera, Aaron Harwood, Lucia Falzon, John Dunn et al.)....Pages 649-653
 Interactive Time Series Clustering with COBRASTS  (Toon Van Craenendonck, Wannes Meert, Sebastijan Dumančić, Hendrik Blockeel)....Pages 654-657
 pysubgroup: Easy-to-Use Subgroup Discovery in Python  (Florian Lemmerich, Martin Becker)....Pages 658-662
 An Advert Creation System for Next-Gen Publicity  (Atul Nautiyal, Killian McCabe, Murhaf Hossari, Soumyabrata Dev, Matthew Nicholson, Clare Conran et al.)....Pages 663-667
 VHI: Valve Health Identification for the Maintenance of Subsea Industrial Equipment  (M. Atif Qureshi, Luis Miralles-Pechuán, Jing Su, Jason Payne, Ronan O’Malley)....Pages 668-671
 Tiler: Software for Human-Guided Data Exploration  (Andreas Henelius, Emilia Oikarinen, Kai Puolamäki)....Pages 672-676
 ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio  (Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Li Chen, Michael E. Kounavis, Duen Horng Chau)....Pages 677-681
 ClaRe: Classification and Regression Tool for Multivariate Time Series  (Ricardo Cachucho, Stylianos Paraschiakos, Kaihua Liu, Benjamin van der Burgh, Arno Knobbe)....Pages 682-686
 Industrial Memories: Exploring the Findings of Government Inquiries with Neural Word Embedding and Machine Learning  (Susan Leavy, Emilie Pine, Mark T. Keane)....Pages 687-690
 Monitoring Emergency First Responders’ Activities via Gradient Boosting and Inertial Sensor Data  (Sebastian Scheurer, Salvatore Tedesco, Òscar Manzano, Kenneth N. Brown, Brendan O’Flynn)....Pages 691-694
 Visualizing Multi-document Semantics via Open Domain Information Extraction  (Yongpan Sheng, Zenglin Xu, Yafang Wang, Xiangyu Zhang, Jia Jia, Zhonghui You et al.)....Pages 695-699
Back Matter ....Pages 701-706