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ORCIDPKDD / ECML 2020: Ghent, Belgium
- Yuxiao Dong, Dunja Mladenic, Craig Saunders:
Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track - European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings, Part IV. Lecture Notes in Computer Science 12460, Springer 2021, ISBN 978-3-030-67666-7
Applied Data Science: Recommendation
- Yuanfu Lu, Ruobing Xie, Chuan Shi, Yuan Fang, Wei Wang, Xu Zhang, Leyu Lin:
Social Influence Attentive Neural Network for Friend-Enhanced Recommendation. 3-18 - Taofeng Xue
, Xinzhou Dong, Wei Zhuo, Beihong Jin, He Chen, Wenhai Pan, Beibei Li, Xuejian Zhang:
Feedback-Guided Attributed Graph Embedding for Relevant Video Recommendation. 19-35 - Bowen Hao, Jing Zhang, Cuiping Li, Hong Chen, Hongzhi Yin:
Recommending Courses in MOOCs for Jobs: An Auto Weak Supervision Approach. 36-51 - Mingxuan Yue, Tianshu Sun, Fan Wu, Lixia Wu, Yinghui Xu, Cyrus Shahabi:
Learning a Contextual and Topological Representation of Areas-of-Interest for On-Demand Delivery Application. 52-68 - Junhua Liu, Kristin L. Wood, Kwan Hui Lim:
Strategic and Crowd-Aware Itinerary Recommendation. 69-85
Applied Data Science: Anomaly Detection
- Roghayeh Mojarad, Ferhat Attal, Abdelghani Chibani, Yacine Amirat:
A Context-Aware Approach to Detect Abnormal Human Behaviors. 89-104 - Wenjie Wang, Pengfei Tang, Li Xiong, Xiaoqian Jiang:
RADAR: Recurrent Autoencoder Based Detector for Adversarial Examples on Temporal EHR. 105-121 - Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao:
Self-supervised Log Parsing. 122-138 - Dilusha Weeraddana, Sudaraka Mallawaarachchi, Tharindu Warnakula, Zhidong Li, Yang Wang:
Long-Term Pipeline Failure Prediction Using Nonparametric Survival Analysis. 139-156 - Seoyoung Park, Siho Han, Simon S. Woo:
Forecasting Error Pattern-Based Anomaly Detection in Multivariate Time Series. 157-172
Applied Data Science: Web Mining
- Mingxiao An, Sundong Kim:
Neural User Embedding from Browsing Events. 175-191 - Tianyu Cui, Gang Xiong, Gaopeng Gou, Junzheng Shi, Wei Xia:
6VecLM: Language Modeling in Vector Space for IPv6 Target Generation. 192-207 - Chao Deng, Hao Wang, Qing Tan, Jian Xu, Kun Gai:
Calibrating User Response Predictions in Online Advertising. 208-223 - Ivan Bacher, Hossein Javidnia, Soumyabrata Dev, Rahul Agrahari, Murhaf Hossari, Matthew Nicholson, Clare Conran, Jian Tang, Peng Song, David Corrigan, François Pitié:
An Advert Creation System for 3D Product Placements. 224-239 - Rahul Tripathi, Srinivasan Jagannathan, Balaji Dhamodharaswamy:
Estimating Precisions for Multiple Binary Classifiers Under Limited Samples. 240-256
Applied Data Science: Transportation
- Mohsan Jameel, Mofassir ul Islam Arif, Andre Hintsches, Lars Schmidt-Thieme:
Automation of Leasing Vehicle Return Assessment Using Deep Learning Models. 259-274 - Fandel Lin, Hsun-Ping Hsieh, Jie-Yu Fang:
A Route-Affecting Region Based Approach for Feature Extraction in Transportation Route Planning. 275-290 - Udesh Gunarathna, Hairuo Xie, Egemen Tanin, Shanika Karunasekera, Renata Borovica-Gajic:
Real-Time Lane Configuration with Coordinated Reinforcement Learning. 291-307 - Jie-Yu Fang, Fandel Lin, Hsun-Ping Hsieh:
A Multi-criteria System for Recommending Taxi Routes with an Advance Reservation. 308-322 - Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi:
Autonomous Driving Validation with Model-Based Dictionary Clustering. 323-338
Applied Data Science: Activity Recognition
- Jun Liao, Junfeng Hu, Li Liu:
Recognizing Complex Activities by a Temporal Causal Network-Based Model. 341-357 - Thibault Blanc-Beyne, Axel Carlier, Sandrine Mouysset, Vincent Charvillat:
Unsupervised Human Pose Estimation on Depth Images. 358-373 - Massinissa Hamidi, Aomar Osmani:
Data Generation Process Modeling for Activity Recognition. 374-390 - Eduardo Hugo Sanchez, Mathieu Serrurier, Mathias Ortner:
Mutual Information Measure for Image Segmentation Using Few Labels. 391-407
Applied Data Science: Hardware and Manufacturing
- Simon Stieber, Niklas Schröter, Alexander Schiendorfer, Alwin Hoffmann, Wolfgang Reif:
FlowFrontNet: Improving Carbon Composite Manufacturing with CNNs. 411-426 - Chandranil Chakraborttii, Heiner Litz:
Learning I/O Access Patterns to Improve Prefetching in SSDs. 427-443 - Laure Crochepierre, Lydia Boudjeloud-Assala, Vincent Barbesant:
Interpretable Dimensionally-Consistent Feature Extraction from Electrical Network Sensors. 444-460 - Yexu Zhou, Michael Hefenbrock, Yiran Huang, Till Riedel, Michael Beigl:
Automatic Remaining Useful Life Estimation Framework with Embedded Convolutional LSTM as the Backbone. 461-477 - Sebastian Buschjäger, Lukas Pfahler, Jens Buß, Katharina Morik, Wolfgang Rhode:
On-Site Gamma-Hadron Separation with Deep Learning on FPGAs. 478-493
Applied Data Science: Spatiotemporal Data
- Ching-Yuan Bai, Buo-Fu Chen, Hsuan-Tien Lin:
Benchmarking Tropical Cyclone Rapid Intensification with Satellite Images and Attention-Based Deep Models. 497-512 - Rosa Candela, Pietro Michiardi, Maurizio Filippone, Maria A. Zuluaga:
Model Monitoring and Dynamic Model Selection in Travel Time-Series Forecasting. 513-529 - Hua Wei, Chacha Chen, Chang Liu, Guanjie Zheng, Zhenhui Li:
Learning to Simulate on Sparse Trajectory Data. 530-545 - Wuguannan Yao, Wonjung Lee, Junhui Wang:
Learning from Crowds via Joint Probabilistic Matrix Factorization and Clustering in Latent Space. 546-561 - Alejandro Kuratomi, Tony Lindgren, Panagiotis Papapetrou:
Prediction of Global Navigation Satellite System Positioning Errors with Guarantees. 562-578
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