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Publication search results
found 35 matches
- 2021
- 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 [contents] - 2020
- Hua Wei
, Chacha Chen, Chang Liu, Guanjie Zheng, Zhenhui Li:
Learning to Simulate on Sparse Trajectory Data. ECML/PKDD (4) 2020: 530-545 - Mingxiao An, Sundong Kim:
Neural User Embedding from Browsing Events. ECML/PKDD (4) 2020: 175-191 - 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. ECML/PKDD (4) 2020: 224-239 - Ching-Yuan Bai, Buo-Fu Chen, Hsuan-Tien Lin:
Benchmarking Tropical Cyclone Rapid Intensification with Satellite Images and Attention-Based Deep Models. ECML/PKDD (4) 2020: 497-512 - Thibault Blanc-Beyne, Axel Carlier, Sandrine Mouysset, Vincent Charvillat:
Unsupervised Human Pose Estimation on Depth Images. ECML/PKDD (4) 2020: 358-373 - Sebastian Buschjäger, Lukas Pfahler, Jens Buß, Katharina Morik, Wolfgang Rhode:
On-Site Gamma-Hadron Separation with Deep Learning on FPGAs. ECML/PKDD (4) 2020: 478-493 - Rosa Candela, Pietro Michiardi, Maurizio Filippone, Maria A. Zuluaga:
Model Monitoring and Dynamic Model Selection in Travel Time-Series Forecasting. ECML/PKDD (4) 2020: 513-529 - Chandranil Chakraborttii, Heiner Litz:
Learning I/O Access Patterns to Improve Prefetching in SSDs. ECML/PKDD (4) 2020: 427-443 - Laure Crochepierre, Lydia Boudjeloud-Assala, Vincent Barbesant:
Interpretable Dimensionally-Consistent Feature Extraction from Electrical Network Sensors. ECML/PKDD (4) 2020: 444-460 - Tianyu Cui, Gang Xiong, Gaopeng Gou, Junzheng Shi, Wei Xia:
6VecLM: Language Modeling in Vector Space for IPv6 Target Generation. ECML/PKDD (4) 2020: 192-207 - Chao Deng, Hao Wang, Qing Tan, Jian Xu, Kun Gai:
Calibrating User Response Predictions in Online Advertising. ECML/PKDD (4) 2020: 208-223 - Jie-Yu Fang, Fandel Lin, Hsun-Ping Hsieh:
A Multi-criteria System for Recommending Taxi Routes with an Advance Reservation. ECML/PKDD (4) 2020: 308-322 - Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi:
Autonomous Driving Validation with Model-Based Dictionary Clustering. ECML/PKDD (4) 2020: 323-338 - Udesh Gunarathna, Hairuo Xie, Egemen Tanin, Shanika Karunasekera, Renata Borovica-Gajic:
Real-Time Lane Configuration with Coordinated Reinforcement Learning. ECML/PKDD (4) 2020: 291-307 - Massinissa Hamidi, Aomar Osmani:
Data Generation Process Modeling for Activity Recognition. ECML/PKDD (4) 2020: 374-390 - Bowen Hao, Jing Zhang, Cuiping Li, Hong Chen, Hongzhi Yin:
Recommending Courses in MOOCs for Jobs: An Auto Weak Supervision Approach. ECML/PKDD (4) 2020: 36-51 - Mohsan Jameel, Mofassir ul Islam Arif, Andre Hintsches, Lars Schmidt-Thieme:
Automation of Leasing Vehicle Return Assessment Using Deep Learning Models. ECML/PKDD (4) 2020: 259-274 - Alejandro Kuratomi, Tony Lindgren, Panagiotis Papapetrou:
Prediction of Global Navigation Satellite System Positioning Errors with Guarantees. ECML/PKDD (4) 2020: 562-578 - Jun Liao, Junfeng Hu, Li Liu:
Recognizing Complex Activities by a Temporal Causal Network-Based Model. ECML/PKDD (4) 2020: 341-357 - Fandel Lin, Hsun-Ping Hsieh, Jie-Yu Fang:
A Route-Affecting Region Based Approach for Feature Extraction in Transportation Route Planning. ECML/PKDD (4) 2020: 275-290 - Junhua Liu, Kristin L. Wood, Kwan Hui Lim:
Strategic and Crowd-Aware Itinerary Recommendation. ECML/PKDD (4) 2020: 69-85 - Yuanfu Lu, Ruobing Xie, Chuan Shi, Yuan Fang, Wei Wang, Xu Zhang, Leyu Lin:
Social Influence Attentive Neural Network for Friend-Enhanced Recommendation. ECML/PKDD (4) 2020: 3-18 - Roghayeh Mojarad, Ferhat Attal, Abdelghani Chibani, Yacine Amirat:
A Context-Aware Approach to Detect Abnormal Human Behaviors. ECML/PKDD (4) 2020: 89-104 - Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao:
Self-supervised Log Parsing. ECML/PKDD (4) 2020: 122-138 - Seoyoung Park, Siho Han, Simon S. Woo:
Forecasting Error Pattern-Based Anomaly Detection in Multivariate Time Series. ECML/PKDD (4) 2020: 157-172 - Eduardo Hugo Sanchez, Mathieu Serrurier, Mathias Ortner:
Mutual Information Measure for Image Segmentation Using Few Labels. ECML/PKDD (4) 2020: 391-407 - Simon Stieber, Niklas Schröter, Alexander Schiendorfer, Alwin Hoffmann, Wolfgang Reif:
FlowFrontNet: Improving Carbon Composite Manufacturing with CNNs. ECML/PKDD (4) 2020: 411-426 - Rahul Tripathi, Srinivasan Jagannathan, Balaji Dhamodharaswamy:
Estimating Precisions for Multiple Binary Classifiers Under Limited Samples. ECML/PKDD (4) 2020: 240-256 - Wenjie Wang, Pengfei Tang, Li Xiong, Xiaoqian Jiang:
RADAR: Recurrent Autoencoder Based Detector for Adversarial Examples on Temporal EHR. ECML/PKDD (4) 2020: 105-121
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