Table of Contents

• Neural Article Pair Modeling for Wikipedia Sub-article MatchingMuhao Chen, Changping Meng, Gang Huang, Carlo Zaniolo. 3-19 [doi]
• LinNet: Probabilistic Lineup Evaluation Through Network EmbeddingKonstantinos Pelechrinis. 20-36 [doi]
• Improving Emotion Detection with Sub-clip BoostingErmal Toto, Brendan J. Foley, Elke A. Rundensteiner. 37-52 [doi]
• Machine Learning for Targeted Assimilation of Satellite DataYu-Ju Lee, David Hall, Jebb Stewart, Mark Govett. 53-68 [doi]
• From Empirical Analysis to Public Policy: Evaluating Housing Systems for Homeless YouthHau Chan, Eric Rice, Phebe Vayanos, Milind Tambe, Matthew Morton. 69-85 [doi]
• Discovering Groups of Signals in In-Vehicle Network Traces for Redundancy Detection and Functional GroupingArtur Mrowca, Barbara Moser, Stephan Günnemann. 86-102 [doi]
• SPEEDING Up the Metabolism in E-commerce by Reinforcement Mechanism DESIGNHua-Lin He, Chun-Xiang Pan, Qing Da, Anxiang Zeng. 105-119 [doi]
• Discovering Bayesian Market Views for Intelligent Asset AllocationFrank Z. Xing, Erik Cambria, Lorenzo Malandri, Carlo Vercellis. 120-135 [doi]
• Intent-Aware Audience Targeting for Ride-Hailing ServiceYuan Xia, Jingbo Zhou, Jingjia Cao, Yanyan Li, Fei Gao, Kun Liu, Haishan Wu, Hui Xiong. 136-151 [doi]
• A Recurrent Neural Network Survival Model: Predicting Web User Return TimeGeorg L. Grob, Ângelo Cardoso, C. H. Bryan Liu, Duncan A. Little, Benjamin Paul Chamberlain. 152-168 [doi]
• Implicit Linking of Food Entities in Social MediaWen Haw Chong, Ee-Peng Lim. 169-185 [doi]
• A Practical Deep Online Ranking System in E-commerce RecommendationYan Yan, Zitao Liu, Meng Zhao, Wentao Guo, Weipeng P. Yan, Yongjun Bao. 186-201 [doi]
• Helping Your Docker Images to Spread Based on Explainable ModelsRiccardo Guidotti, Jacopo Soldani, Davide Neri, Antonio Brogi, Dino Pedreschi. 205-221 [doi]
• ST-DenNetFus: A New Deep Learning Approach for Network Demand PredictionHaytham Assem, Bora Caglayan, Teodora Sandra Buda, Declan O'Sullivan. 222-237 [doi]
• On Optimizing Operational Efficiency in Storage Systems via Deep Reinforcement LearningSunil Srinivasa, Girish Kathalagiri, Julu Subramanyam Varanasi, Luis Carlos Quintela, Mohamad Charafeddine, Chi-Hoon Lee. 238-253 [doi]
• Automating Layout Synthesis with Constructive Preference ElicitationLuca Erculiani, Paolo Dragone, Stefano Teso, Andrea Passerini. 254-270 [doi]
• Configuration of Industrial Automation Solutions Using Multi-relational Recommender SystemsMarcel Hildebrandt, Swathi Shyam Sunder, Serghei Mogoreanu, Ingo Thon, Volker Tresp, Thomas A. Runkler. 271-287 [doi]
• Learning Cheap and Novel Flight ItinerariesDmytro Karamshuk, David Matthews. 288-304 [doi]
• Towards Resource-Efficient Classifiers for Always-On MonitoringJonas Vlasselaer, Wannes Meert, Marian Verhelst. 305-321 [doi]
• Uncertainty Modelling in Deep Networks: Forecasting Short and Noisy SeriesAxel Brando, Jose A. Rodríguez-Serrano, Mauricio Ciprian, Roberto Maestre, Jordi Vitrià. 325-340 [doi]
• Using Reinforcement Learning to Conceal Honeypot FunctionalitySeamus Dowling, Michael Schukat, Enda Barrett. 341-355 [doi]
• Flexible Inference for Cyberbully Incident DetectionHaoti Zhong, David J. Miller 0001, Anna Cinzia Squicciarini. 356-371 [doi]
• Solving the False Positives Problem in Fraud Prediction Using Automated Feature EngineeringRoy Wedge, James Max Kanter, Kalyan Veeramachaneni, Santiago Moral-Rubio, Sergio Iglesias Perez. 372-388 [doi]
• Learning Tensor-Based Representations from Brain-Computer Interface Data for CybersecurityMd. Lutfor Rahman, Sharmistha Bardhan, Ajaya Neupane, Evangelos Papalexakis, Chengyu Song. 389-404 [doi]
• Can We Assess Mental Health Through Social Media and Smart Devices? Addressing Bias in Methodology and EvaluationAdam Tsakalidis, Maria Liakata, Theo Damoulas, Alexandra I. Cristea. 407-423 [doi]
• AMIE: Automatic Monitoring of Indoor ExercisesTom Decroos, Kurt Schütte 0002, Tim Op De Beéck, Benedicte Vanwanseele, Jesse Davis. 424-439 [doi]
• Rough Set Theory as a Data Mining Technique: A Case Study in Epidemiology and Cancer Incidence PredictionZaineb Chelly Dagdia, Christine Zarges, Benjamin Schannes, Martin Micalef, Lino Galiana, Benoît Rolland, Olivier de Fresnoye, Mehdi Benchoufi. 440-455 [doi]
• Bayesian Best-Arm Identification for Selecting Influenza Mitigation StrategiesPieter J. K. Libin, Timothy Verstraeten, Diederik M. Roijers, Jelena Grujic, Kristof Theys, Philippe Lemey, Ann Nowé. 456-471 [doi]
• Hypotensive Episode Prediction in ICUs via Observation Window SplittingElad Tsur, Mark Last, Victor F. Garcia, Raphael Udassin, Moti Klein, Evgeni Brotfain. 472-487 [doi]
• Equipment Health Indicator Learning Using Deep Reinforcement LearningChi Zhang, Chetan Gupta, Ahmed Farahat, Kosta Ristovski, Dipanjan Ghosh. 488-504 [doi]
• PBE: Driver Behavior Assessment Beyond Trajectory ProfilingBing He, Xiaolin Chen, Dian Zhang, Siyuan Liu, Dawei Han, Lionel M. Ni. 507-523 [doi]
• Accurate WiFi-Based Indoor Positioning with Continuous Location SamplingJesper E. van Engelen, J. J. van Lier, Frank W. Takes, Heike Trautmann. 524-540 [doi]
• Human Activity Recognition with Convolutional Neural NetworksAntonio Bevilacqua, Kyle MacDonald, Aamina Rangarej, Venessa Widjaya, Brian Caulfield, M. Tahar Kechadi. 541-552 [doi]
• Urban Sensing for Anomalous Event Detection: - Distinguishing Between Legitimate Traffic Changes and Abnormal Traffic VariabilityMasoomeh Zameni, Mengyi He, Masud Moshtaghi, Zahra Ghafoori, Christopher Leckie, James C. Bezdek, Kotagiri Ramamohanarao. 553-568 [doi]
• Combining Bayesian Inference and Clustering for Transport Mode Detection from Sparse and Noisy Geolocation DataDanya Bachir, Ghazaleh Khodabandelou, Vincent Gauthier, Mounim A. El-Yacoubi, Eric Vachon. 569-584 [doi]
• CentroidNet: A Deep Neural Network for Joint Object Localization and CountingKlaas Dijkstra, Jaap van de Loosdrecht, L. R. B. Schomaker, Marco A. Wiering. 585-601 [doi]
• Deep Modular Multimodal Fusion on Multiple Sensors for Volcano Activity RecognitionHiep V. Le, Tsuyoshi Murata, Masato Iguchi. 602-617 [doi]
• Matrix Completion Under Interval Uncertainty: HighlightsJakub Marecek, Peter Richtárik, Martin Takác. 621-625 [doi]
• A Two-Step Approach for the Prediction of Mood Levels Based on Diary DataVincent Bremer, Dennis Becker, Tobias Genz, Burkhardt Funk, Dirk Lehr. 626-629 [doi]
• Best Practices to Train Deep Models on Imbalanced Datasets - A Case Study on Animal Detection in Aerial ImageryBenjamin Kellenberger, Diego Marcos, Devis Tuia. 630-634 [doi]
• Deep Query Ranking for Question Answering over Knowledge BasesHamid Zafar, Giulio Napolitano, Jens Lehmann. 635-638 [doi]
• Machine Learning Approaches to Hybrid Music Recommender SystemsAndreu Vall, Gerhard Widmer. 639-642 [doi]
• IDEA: An Interactive Dialogue Translation Demo System Using Furhat RobotsJinhua Du, Darragh Blake, Longyue Wang, Clare Conran, Declan McKibben, Andy Way. 645-648 [doi]
• RAPID: Real-time Analytics Platform for Interactive Data MiningKwan Hui Lim, Sachini Jayasekara, Shanika Karunasekera, Aaron Harwood, Lucia Falzon, John Dunn, Glenn Burgess. 649-653 [doi]
• Interactive Time Series Clustering with COBRASTSToon van Craenendonck, Wannes Meert, Sebastijan Dumancic, Hendrik Blockeel. 654-657 [doi]
• pysubgroup: Easy-to-Use Subgroup Discovery in PythonFlorian Lemmerich, Martin Becker 0003. 658-662 [doi]
• An Advert Creation System for Next-Gen PublicityAtul Nautiyal, Killian McCabe, Murhaf Hossari, Soumyabrata Dev, Matthew Nicholson, Clare Conran, Declan McKibben, Jian Tang, Wei Xu, François Pitié. 663-667 [doi]
• VHI: Valve Health Identification for the Maintenance of Subsea Industrial EquipmentM. Atif Qureshi, Luis Miralles Pechuán, Jing Su, Jason Payne, Ronan O'Malley. 668-671 [doi]
• Tiler: Software for Human-Guided Data ExplorationAndreas Henelius, Emilia Oikarinen, Kai Puolamäki. 672-676 [doi]
• ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for AudioNilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Li Chen, Michael E. Kounavis, Duen Horng Chau. 677-681 [doi]
• ClaRe: Classification and Regression Tool for Multivariate Time SeriesRicardo Cachucho, Stylianos Paraschiakos, Kaihua Liu, Benjamin van der Burgh, Arno J. Knobbe. 682-686 [doi]
• Industrial Memories: Exploring the Findings of Government Inquiries with Neural Word Embedding and Machine LearningSusan Leavy, Emilie Pine, Mark T. Keane. 687-690 [doi]
• Monitoring Emergency First Responders' Activities via Gradient Boosting and Inertial Sensor DataSebastian Scheurer, Salvatore Tedesco, Oscar Manzano, Kenneth N. Brown, Brendan O'Flynn. 691-694 [doi]
• Visualizing Multi-document Semantics via Open Domain Information ExtractionYongpan Sheng, Zenglin Xu, Yafang Wang, Xiangyu Zhang, Jia Jia, Zhonghui You, Gerard de Melo. 695-699 [doi]