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ORCIDPKDD / ECML 2021: Bilbao, Spain - Part V
- Yuxiao Dong, Nicolas Kourtellis, Barbara Hammer, José Antonio Lozano
:
Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part V. Lecture Notes in Computer Science 12979, Springer 2021, ISBN 978-3-030-86516-0
Automating Machine Learning, Optimization, and Feature Engineering
- Yusuke Kanebako, Kazuki Tsukamoto:
PuzzleShuffle: Undesirable Feature Learning for Semantic Shift Detection. 3-19 - Bharath Sudharsan, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali:
Enabling Machine Learning on the Edge Using SRAM Conserving Efficient Neural Networks Execution Approach. 20-35 - Zhen Xu, Wei-Wei Tu, Isabelle Guyon:
AutoML Meets Time Series Regression Design and Analysis of the AutoSeries Challenge. 36-51 - Lorenz Wendlinger, Emanuel Berndl, Michael Granitzer:
Methods for Automatic Machine-Learning Workflow Analysis. 52-67 - Guanjie Huang, Fenglong Ma:
ConCAD: Contrastive Learning-Based Cross Attention for Sleep Apnea Detection. 68-84
Machine Learning Based Simulations and Knowledge Discovery
- Fengyang Xu, Wencheng Shi, Yunfei Du, Zhiguang Chen, Yutong Lu:
DeepPE: Emulating Parameterization in Numerical Weather Forecast Model Through Bidirectional Network. 87-101 - Antonio Alguacil, Wagner Gonçalves Pinto, Michael Bauerheim, Marc C. Jacob, Stéphane Moreau:
Effects of Boundary Conditions in Fully Convolutional Networks for Learning Spatio-Temporal Dynamics. 102-117 - Yexiang Xue, Md. Nasim, Maosen Zhang, Cuncai Fan, Xinghang Zhang, Anter El-Azab:
Physics Knowledge Discovery via Neural Differential Equation Embedding. 118-134 - Claire Theobald, Bastien Arcelin, Frédéric Pennerath, Brieuc Conan-Guez, Miguel Couceiro, Amedeo Napoli:
A Bayesian Convolutional Neural Network for Robust Galaxy Ellipticity Regression. 135-150 - Yihe Zhang, Xu Yuan, Sytske K. Kimball, Eric Rappin, Li Chen, Paul J. Darby III, Tom Johnsten, Lu Peng, Boisy Pitre, David Bourrie, Nian-Feng Tzeng:
Precise Weather Parameter Predictions for Target Regions via Neural Networks. 151-167 - Bo Zhou, Hongsheng Zeng, Yuecheng Liu, Kejiao Li, Fan Wang, Hao Tian:
Action Set Based Policy Optimization for Safe Power Grid Management. 168-181 - Joao A. Candido Ramos, Lionel Blondé, Stéphane Armand, Alexandros Kalousis:
Conditional Neural Relational Inference for Interacting Systems. 182-197
Recommender Systems and Behavior Modeling
- Haomin Yu, Mingfei Liang, Ruobing Xie, Zhenlong Sun, Bo Zhang, Leyu Lin:
MMNet: Multi-granularity Multi-mode Network for Item-Level Share Rate Prediction. 201-217 - Manchit Madan, Ankur Chouragade, Sreekanth Vempati:
The Joy of Dressing Is an Art: Outfit Generation Using Self-attention Bi-LSTM. 218-233 - Sophie van den Berg, Marwan Hassani:
On Inferring a Meaningful Similarity Metric for Customer Behaviour. 234-250 - Anna Nguyen, Franz Krause, Daniel Hagenmayer, Michael Färber:
Quantifying Explanations of Neural Networks in E-Commerce Based on LRP. 251-267
Natural Language Processing
- Philip Blair, Carmel Eliav, Fiona Hasanaj, Kfir Bar:
Balancing Speed and Accuracy in Neural-Enhanced Phonetic Name Matching. 271-284 - Guowei Xu, Wenbiao Ding, Weiping Fu, Zhongqin Wu, Zitao Liu:
Robust Learning for Text Classification with Multi-source Noise Simulation and Hard Example Mining. 285-301 - Zhiyue Liu, Jiahai Wang, Zhenghong Li:
Topic-to-Essay Generation with Comprehensive Knowledge Enhancement. 302-318 - Fusataka Kuniyoshi, Jun Ozawa, Makoto Miwa:
Analyzing Research Trends in Inorganic Materials Literature Using NLP. 319-334 - Kaiwen Dong, Kai Lu, Xin Xia, David A. Cieslak, Nitesh V. Chawla:
An Optimized NL2SQL System for Enterprise Data Mart. 335-350 - Piotr Janiszewski, Mateusz Lango, Jerzy Stefanowski:
Time Aspect in Making an Actionable Prediction of a Conversation Breakdown. 351-364 - Arushi Sharma, Anubha Kabra, Rajiv Kapoor:
Feature Enhanced Capsule Networks for Robust Automatic Essay Scoring. 365-380 - Venktesh V, Mukesh K. Mohania, Vikram Goyal:
TagRec: Automated Tagging of Questions with Hierarchical Learning Taxonomy. 381-396
Remote Sensing, Image and Video Processing
- Kamil Szyc, Tomasz Walkowiak, Henryk Maciejewski:
Checking Robustness of Representations Learned by Deep Neural Networks. 399-414 - Tianyi Xie, Thai Le, Dongwon Lee:
CHECKER: Detecting Clickbait Thumbnails with Weak Supervision and Co-teaching. 415-430 - Xiaotian Lu, Arseny Tolmachev, Tatsuya Yamamoto, Koh Takeuchi, Seiji Okajima, Tomoyoshi Takebayashi, Koji Maruhashi, Hisashi Kashima:
Crowdsourcing Evaluation of Saliency-Based XAI Methods. 431-446 - Nelly Rosaura Palacios Salinas, Mitra Baratchi, Jan N. van Rijn, Andreas Vollrath:
Automated Machine Learning for Satellite Data: Integrating Remote Sensing Pre-trained Models into AutoML Systems. 447-462 - Stefanos Antaris, Dimitrios Rafailidis, Romina Arriaza:
Multi-task Learning for User Engagement and Adoption in Live Video Streaming Events. 463-478
Social Media
- Maximilian Wich, Edoardo Mosca, Adrian Gorniak, Johannes Hingerl, Georg Groh:
Explainable Abusive Language Classification Leveraging User and Network Data. 481-496 - Abderrazek Azri, Cécile Favre, Nouria Harbi, Jérôme Darmont, Camille Noûs:
Calling to CNN-LSTM for Rumor Detection: A Deep Multi-channel Model for Message Veracity Classification in Microblogs. 497-513
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