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  • Conference proceedings
  • © 2021

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

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12979)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Conference series link(s): ECML PKDD: Joint European Conference on Machine Learning and Knowledge Discovery in Databases

Conference proceedings info: ECML PKDD 2021.

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Table of contents (32 papers)

  1. Front Matter

    Pages i-xxxiv
  2. Automating Machine Learning, Optimization, and Feature Engineering

    1. Front Matter

      Pages 1-1
    2. Enabling Machine Learning on the Edge Using SRAM Conserving Efficient Neural Networks Execution Approach

      • Bharath Sudharsan, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali
      Pages 20-35
    3. Methods for Automatic Machine-Learning Workflow Analysis

      • Lorenz Wendlinger, Emanuel Berndl, Michael Granitzer
      Pages 52-67
  3. Machine Learning Based Simulations and Knowledge Discovery

    1. Front Matter

      Pages 85-85
    2. DeepPE: Emulating Parameterization in Numerical Weather Forecast Model Through Bidirectional Network

      • Fengyang Xu, Wencheng Shi, Yunfei Du, Zhiguang Chen, Yutong Lu
      Pages 87-101
    3. Effects of Boundary Conditions in Fully Convolutional Networks for Learning Spatio-Temporal Dynamics

      • Antonio Alguacil, Wagner Gonçalves Pinto, Michael Bauerheim, Marc C. Jacob, Stéphane Moreau
      Pages 102-117
    4. Physics Knowledge Discovery via Neural Differential Equation Embedding

      • Yexiang Xue, Md Nasim, Maosen Zhang, Cuncai Fan, Xinghang Zhang, Anter El-Azab
      Pages 118-134
    5. A Bayesian Convolutional Neural Network for Robust Galaxy Ellipticity Regression

      • Claire Theobald, Bastien Arcelin, Frédéric Pennerath, Brieuc Conan-Guez, Miguel Couceiro, Amedeo Napoli
      Pages 135-150
    6. Precise Weather Parameter Predictions for Target Regions via Neural Networks

      • Yihe Zhang, Xu Yuan, Sytske K. Kimball, Eric Rappin, Li Chen, Paul Darby et al.
      Pages 151-167
    7. Action Set Based Policy Optimization for Safe Power Grid Management

      • Bo Zhou, Hongsheng Zeng, Yuecheng Liu, Kejiao Li, Fan Wang, Hao Tian
      Pages 168-181
    8. Conditional Neural Relational Inference for Interacting Systems

      • Joao A. Candido Ramos, Lionel Blondé, Stéphane Armand, Alexandros Kalousis
      Pages 182-197
  4. Recommender Systems and Behavior Modeling

    1. Front Matter

      Pages 199-199
    2. MMNet: Multi-granularity Multi-mode Network for Item-Level Share Rate Prediction

      • Haomin Yu, Mingfei Liang, Ruobing Xie, Zhenlong Sun, Bo Zhang, Leyu Lin
      Pages 201-217
    3. The Joy of Dressing Is an Art: Outfit Generation Using Self-attention Bi-LSTM

      • Manchit Madan, Ankur Chouragade, Sreekanth Vempati
      Pages 218-233
    4. On Inferring a Meaningful Similarity Metric for Customer Behaviour

      • Sophie van den Berg, Marwan Hassani
      Pages 234-250
    5. Quantifying Explanations of Neural Networks in E-Commerce Based on LRP

      • Anna Nguyen, Franz Krause, Daniel Hagenmayer, Michael Färber
      Pages 251-267

Other Volumes

  1. Machine Learning and Knowledge Discovery in Databases. Research Track

    European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part I
  2. Machine Learning and Knowledge Discovery in Databases. Research Track

    European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part II
  3. Machine Learning and Knowledge Discovery in Databases. Research Track

    European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part III
  4. Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track

    European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part IV
  5. 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
  6. Machine Learning and Principles and Practice of Knowledge Discovery in Databases

    International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I
  7. Machine Learning and Principles and Practice of Knowledge Discovery in Databases

    International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II

About this book

The multi-volume set LNAI 12975 until 12979 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2021, which was held during September 13-17, 2021. The conference was originally planned to take place in Bilbao, Spain, but changed to an online event due to the COVID-19 pandemic. 

The 210 full papers presented in these proceedings were carefully reviewed and selected from a total of 869 submissions.

The volumes are organized in topical sections as follows:

Research Track:

Part I: Online learning; reinforcement learning; time series, streams, and sequence models; transfer and multi-task learning; semi-supervised and few-shot learning; learning algorithms and applications.

Part II: Generative models; algorithms and learning theory; graphs and networks; interpretation, explainability, transparency, safety.

Part III: Generative models; search and optimization; supervised learning; text mining and natural language processing; image processing, computer vision and visual analytics.

Applied Data Science Track:

Part IV: Anomaly detection and malware; spatio-temporal data; e-commerce and finance; healthcare and medical applications (including Covid); mobility and transportation.

Part V: Automating machine learning, optimization, and feature engineering; machine learning based simulations and knowledge discovery; recommender systems and behavior modeling; natural language processing; remote sensing, image and video processing; social media.

Keywords

  • computer systems
  • computer vision
  • data mining
  • databases
  • document management and text processing
  • education
  • electronic commerce
  • image processing
  • information retrieval
  • law, social and behavioral sciences
  • learning
  • life and medical sciences
  • linguistics
  • machine learning
  • network protocols
  • neural networks
  • physical sciences and engineering
  • semantics
  • signal processing

Editors and Affiliations

  • Facebook AI, Seattle, USA

    Yuxiao Dong

  • Torre Telefonica, Barcelona, Spain

    Nicolas Kourtellis

  • Bielefeld University, CITEC, Bielefeld, Germany

    Barbara Hammer

  • Basque Center for Applied Mathematics, Bilbao, Spain

    Jose A. Lozano

Bibliographic Information

Buying options

eBook USD 69.99
Price excludes VAT (USA)
  • ISBN: 978-3-030-86517-7
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 89.99
Price excludes VAT (USA)