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ORCIDPKDD / ECML 2018: Dublin, Ireland
- Ulf Brefeld, Edward Curry
, Elizabeth Daly, Brian MacNamee, Alice Marascu, Fabio Pinelli, Michele Berlingerio, Neil Hurley:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part III. Lecture Notes in Computer Science 11053, Springer 2019, ISBN 978-3-030-10996-7
ADS Data Science Applications
- Muhao Chen, Changping Meng, Gang Huang, Carlo Zaniolo:
Neural Article Pair Modeling for Wikipedia Sub-article Matching. 3-19 - Konstantinos Pelechrinis:
LinNet: Probabilistic Lineup Evaluation Through Network Embedding. 20-36 - Ermal Toto, Brendan J. Foley, Elke A. Rundensteiner:
Improving Emotion Detection with Sub-clip Boosting. 37-52 - Yu-Ju Lee, David Hall, Jebb Q. Stewart, Mark Govett:
Machine Learning for Targeted Assimilation of Satellite Data. 53-68 - Hau Chan, Eric Rice, Phebe Vayanos, Milind Tambe, Matthew Morton:
From Empirical Analysis to Public Policy: Evaluating Housing Systems for Homeless Youth. 69-85 - Artur Mrowca, Barbara Moser, Stephan Günnemann:
Discovering Groups of Signals in In-Vehicle Network Traces for Redundancy Detection and Functional Grouping. 86-102
ADS E-commerce
- Hua-Lin He, Chun-Xiang Pan, Qing Da, Anxiang Zeng:
SPEEDING Up the Metabolism in E-commerce by Reinforcement Mechanism DESIGN. 105-119 - Frank Z. Xing, Erik Cambria, Lorenzo Malandri, Carlo Vercellis:
Discovering Bayesian Market Views for Intelligent Asset Allocation. 120-135 - Yuan Xia, Jingbo Zhou, Jingjia Cao, Yanyan Li, Fei Gao, Kun Liu, Haishan Wu, Hui Xiong:
Intent-Aware Audience Targeting for Ride-Hailing Service. 136-151 - Georg L. Grob, Ângelo Cardoso, C. H. Bryan Liu, Duncan A. Little, Benjamin Paul Chamberlain:
A Recurrent Neural Network Survival Model: Predicting Web User Return Time. 152-168 - Wen-Haw Chong, Ee-Peng Lim:
Implicit Linking of Food Entities in Social Media. 169-185 - Yan Yan, Zitao Liu, Meng Zhao, Wentao Guo, Weipeng P. Yan, Yongjun Bao:
A Practical Deep Online Ranking System in E-commerce Recommendation. 186-201
ADS Engineering and Design
- Riccardo Guidotti, Jacopo Soldani, Davide Neri, Antonio Brogi, Dino Pedreschi:
Helping Your Docker Images to Spread Based on Explainable Models. 205-221 - Haytham Assem, Bora Caglayan, Teodora Sandra Buda, Declan O'Sullivan:
ST-DenNetFus: A New Deep Learning Approach for Network Demand Prediction. 222-237 - Sunil Srinivasa, Girish Kathalagiri, Julu Subramanyam Varanasi, Luis Carlos Quintela, Mohamad Charafeddine, Chi-Hoon Lee:
On Optimizing Operational Efficiency in Storage Systems via Deep Reinforcement Learning. 238-253 - Luca Erculiani, Paolo Dragone, Stefano Teso, Andrea Passerini:
Automating Layout Synthesis with Constructive Preference Elicitation. 254-270 - Marcel Hildebrandt, Swathi Shyam Sunder, Serghei Mogoreanu, Ingo Thon, Volker Tresp, Thomas A. Runkler:
Configuration of Industrial Automation Solutions Using Multi-relational Recommender Systems. 271-287 - Dmytro Karamshuk, David Matthews:
Learning Cheap and Novel Flight Itineraries. 288-304 - Jonas Vlasselaer, Wannes Meert, Marian Verhelst:
Towards Resource-Efficient Classifiers for Always-On Monitoring. 305-321
ADS Financial/Security
- Axel Brando, José A. Rodríguez-Serrano, Mauricio Ciprian, Roberto Maestre, Jordi Vitrià:
Uncertainty Modelling in Deep Networks: Forecasting Short and Noisy Series. 325-340 - Seamus Dowling, Michael Schukat, Enda Barrett:
Using Reinforcement Learning to Conceal Honeypot Functionality. 341-355 - Haoti Zhong, David J. Miller, Anna Cinzia Squicciarini:
Flexible Inference for Cyberbully Incident Detection. 356-371 - Roy Wedge, James Max Kanter, Kalyan Veeramachaneni, Santiago Moral-Rubio, Sergio Iglesias Perez:
Solving the False Positives Problem in Fraud Prediction Using Automated Feature Engineering. 372-388 - Md. Lutfor Rahman, Sharmistha Bardhan, Ajaya Neupane, Evangelos E. Papalexakis, Chengyu Song:
Learning Tensor-Based Representations from Brain-Computer Interface Data for Cybersecurity. 389-404
ADS Health
- Adam Tsakalidis, Maria Liakata, Theo Damoulas, Alexandra I. Cristea:
Can We Assess Mental Health Through Social Media and Smart Devices? Addressing Bias in Methodology and Evaluation. 407-423 - Tom Decroos, Kurt Schütte, Tim Op De Beéck, Benedicte Vanwanseele, Jesse Davis:
AMIE: Automatic Monitoring of Indoor Exercises. 424-439 - Zaineb Chelly Dagdia, Christine Zarges, Benjamin Schannes, Martin Micalef, Lino Galiana, Benoît Rolland, Olivier de Fresnoye, Mehdi Benchoufi:
Rough Set Theory as a Data Mining Technique: A Case Study in Epidemiology and Cancer Incidence Prediction. 440-455 - Pieter J. K. Libin, Timothy Verstraeten, Diederik M. Roijers, Jelena Grujic, Kristof Theys, Philippe Lemey, Ann Nowé:
Bayesian Best-Arm Identification for Selecting Influenza Mitigation Strategies. 456-471 - Elad Tsur, Mark Last, Victor F. Garcia, Raphael Udassin, Moti Klein, Evgeni Brotfain:
Hypotensive Episode Prediction in ICUs via Observation Window Splitting. 472-487 - Chi Zhang, Chetan Gupta, Ahmed K. Farahat, Kosta Ristovski, Dipanjan Ghosh:
Equipment Health Indicator Learning Using Deep Reinforcement Learning. 488-504
ADS Sensing/Positioning
- Bing He, Xiaolin Chen, Dian Zhang, Siyuan Liu, Dawei Han, Lionel M. Ni:
PBE: Driver Behavior Assessment Beyond Trajectory Profiling. 507-523 - Jesper E. van Engelen, J. J. van Lier, Frank W. Takes, Heike Trautmann:
Accurate WiFi-Based Indoor Positioning with Continuous Location Sampling. 524-540 - Antonio Bevilacqua, Kyle MacDonald, Aamina Rangarej, Venessa Widjaya, Brian Caulfield, M. Tahar Kechadi:
Human Activity Recognition with Convolutional Neural Networks. 541-552 - Masoomeh Zameni, Mengyi He, Masud Moshtaghi, Zahra Ghafoori, Christopher Leckie, James C. Bezdek, Kotagiri Ramamohanarao:
Urban Sensing for Anomalous Event Detection: - Distinguishing Between Legitimate Traffic Changes and Abnormal Traffic Variability. 553-568 - Danya Bachir, Ghazaleh Khodabandelou, Vincent Gauthier, Mounim A. El-Yacoubi, Eric Vachon:
Combining Bayesian Inference and Clustering for Transport Mode Detection from Sparse and Noisy Geolocation Data. 569-584 - Klaas Dijkstra, Jaap van de Loosdrecht, Lambert R. B. Schomaker, Marco A. Wiering:
CentroidNet: A Deep Neural Network for Joint Object Localization and Counting. 585-601 - Hiep V. Le, Tsuyoshi Murata, Masato Iguchi:
Deep Modular Multimodal Fusion on Multiple Sensors for Volcano Activity Recognition. 602-617
Nectar Track
- Jakub Marecek, Peter Richtárik, Martin Takác:
Matrix Completion Under Interval Uncertainty: Highlights. 621-625 - Vincent Bremer, Dennis Becker, Tobias Genz, Burkhardt Funk, Dirk Lehr:
A Two-Step Approach for the Prediction of Mood Levels Based on Diary Data. 626-629 - Benjamin Kellenberger, Diego Marcos, Devis Tuia:
Best Practices to Train Deep Models on Imbalanced Datasets - A Case Study on Animal Detection in Aerial Imagery. 630-634 - Hamid Zafar, Giulio Napolitano, Jens Lehmann:
Deep Query Ranking for Question Answering over Knowledge Bases. 635-638 - Andreu Vall, Gerhard Widmer:
Machine Learning Approaches to Hybrid Music Recommender Systems. 639-642
Demo Track
- Jinhua Du, Darragh Blake, Longyue Wang, Clare Conran, Declan McKibben, Andy Way:
IDEA: An Interactive Dialogue Translation Demo System Using Furhat Robots. 645-648 - Kwan Hui Lim, Sachini Jayasekara, Shanika Karunasekera, Aaron Harwood, Lucia Falzon, John Dunn, Glenn Burgess:
RAPID: Real-time Analytics Platform for Interactive Data Mining. 649-653 - Toon van Craenendonck, Wannes Meert, Sebastijan Dumancic, Hendrik Blockeel:
Interactive Time Series Clustering with COBRASTS. 654-657 - Florian Lemmerich, Martin Becker:
pysubgroup: Easy-to-Use Subgroup Discovery in Python. 658-662 - Atul Nautiyal, Killian McCabe, Murhaf Hossari, Soumyabrata Dev, Matthew Nicholson, Clare Conran, Declan McKibben, Jian Tang, Wei Xu, François Pitié:
An Advert Creation System for Next-Gen Publicity. 663-667 - Muhammad Atif Qureshi, Luis Miralles-Pechuán, Jing Su, Jason Payne, Ronan O'Malley:
VHI: Valve Health Identification for the Maintenance of Subsea Industrial Equipment. 668-671 - Andreas Henelius, Emilia Oikarinen, Kai Puolamäki:
Tiler: Software for Human-Guided Data Exploration. 672-676 - Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Li Chen, Michael E. Kounavis, Duen Horng Chau:
ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio. 677-681 - Ricardo Cachucho, Stylianos Paraschiakos, Kaihua Liu, Benjamin van der Burgh, Arno J. Knobbe:
ClaRe: Classification and Regression Tool for Multivariate Time Series. 682-686 - Susan Leavy, Emilie Pine, Mark T. Keane:
Industrial Memories: Exploring the Findings of Government Inquiries with Neural Word Embedding and Machine Learning. 687-690 - Sebastian Scheurer, Salvatore Tedesco, Oscar Manzano, Kenneth N. Brown, Brendan O'Flynn:
Monitoring Emergency First Responders' Activities via Gradient Boosting and Inertial Sensor Data. 691-694 - Yongpan Sheng, Zenglin Xu, Yafang Wang, Xiangyu Zhang, Jia Jia, Zhonghui You, Gerard de Melo:
Visualizing Multi-document Semantics via Open Domain Information Extraction. 695-699
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