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Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track

European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023, Proceedings, Part VII

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Gianmarco De Francisci Morales

    1. CENTAI, Turin, Italy

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  2. Claudia Perlich

    1. NYU and Two Sigma, New York, USA

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  3. Natali Ruchansky

    1. Netflix, Los Angeles, USA

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  4. Nicolas Kourtellis

    1. Telefonica Research, Barcelona, Spain

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  5. Elena Baralis

    1. Politecnico di Torino, Turin, Italy

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  6. Francesco Bonchi

    1. CENTAI, Turin, Italy

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14175)

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

Included in the following conference series:

Conference proceedings info: ECML PKDD 2023.

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Table of contents (34 papers)

  1. Front Matter

    Pages i-liv
    Download chapter PDF

  2. Sustainability, Climate, and Environment

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Continually Learning Out-of-Distribution Spatiotemporal Data for Robust Energy Forecasting

      • Arian Prabowo, Kaixuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim
      Pages 3-19

    3. Counterfactual Explanations for Remote Sensing Time Series Data: An Application to Land Cover Classification

      • Cassio F. Dantas, Thalita F. Drumond, Diego Marcos, Dino Ienco
      Pages 20-36

    4. Cloud Imputation for Multi-sensor Remote Sensing Imagery with Style Transfer

      • Yifan Zhao, Xian Yang, Ranga Raju Vatsavai
      Pages 37-53

    5. Comprehensive Transformer-Based Model Architecture for Real-World Storm Prediction

      • Fudong Lin, Xu Yuan, Yihe Zhang, Purushottam Sigdel, Li Chen, Lu Peng et al.
      Pages 54-71

    6. Explaining Full-Disk Deep Learning Model for Solar Flare Prediction Using Attribution Methods

      • Chetraj Pandey, Rafal A. Angryk, Berkay Aydin
      Pages 72-89

    7. Deep Spatiotemporal Clustering: A Temporal Clustering Approach for Multi-dimensional Climate Data

      • Omar Faruque, Francis Ndikum Nji, Mostafa Cham, Rohan Mandar Salvi, Xue Zheng, Jianwu Wang
      Pages 90-105

    8. Circle Attention: Forecasting Network Traffic by Learning Interpretable Spatial Relationships from Intersecting Circles

      • Espen Haugsdal, Sara Malacarne, Massimiliano Ruocco
      Pages 106-121

  3. Transportation and Urban Planning

    1. Front Matter

      Pages 123-123
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    2. Pre-training Contextual Location Embeddings in Personal Trajectories via Efficient Hierarchical Location Representations

      • Chung Park, Taesan Kim, Junui Hong, Minsung Choi, Jaegul Choo
      Pages 125-140

    3. Leveraging Queue Length and Attention Mechanisms for Enhanced Traffic Signal Control Optimization

      • Liang Zhang, Shubin Xie, Jianming Deng
      Pages 141-156

    4. PICT: Precision-enhanced Road Intersection Recognition Using Cycling Trajectories

      • Wenyu Wu, Wenyi Shen, Jiali Mao, Lisheng Zhao, Shaosheng Cao, Aoying Zhou et al.
      Pages 157-173

    5. FDTI: Fine-Grained Deep Traffic Inference with Roadnet-Enriched Graph

      • Zhanyu Liu, Chumeng Liang, Guanjie Zheng, Hua Wei
      Pages 174-191

    6. RulEth: Genetic Programming-Driven Derivation of Security Rules for Automotive Ethernet

      • Felix Clemens Gail, Roland Rieke, Florian Fenzl
      Pages 192-209

    7. Spatial-Temporal Graph Sandwich Transformer for Traffic Flow Forecasting

      • Yujie Fan, Chin-Chia Michael Yeh, Huiyuan Chen, Liang Wang, Zhongfang Zhuang, Junpeng Wang et al.
      Pages 210-225

    8. Data-Driven Explainable Artificial Intelligence for Energy Efficiency in Short-Sea Shipping

      • Mohamed Abuella, M. Amine Atoui, Slawomir Nowaczyk, Simon Johansson, Ethan Faghani
      Pages 226-241

    9. Multivariate Time-Series Anomaly Detection with Temporal Self-supervision and Graphs: Application to Vehicle Failure Prediction

      • Hadi Hojjati, Mohammadreza Sadeghi, Narges Armanfard
      Pages 242-259

    10. Predictive Maintenance, Adversarial Autoencoders and Explainability

      • Miguel E. P. Silva, Bruno Veloso, João Gama
      Pages 260-275

    11. TDCM: Transport Destination Calibrating Based on Multi-task Learning

      • Tao Wu, Kaixuan Zhu, Jiali Mao, Miaomiao Yang, Aoying Zhou
      Pages 276-292
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Other volumes

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

  2. Machine Learning and Knowledge Discovery in Databases: Research Track

  3. Machine Learning and Knowledge Discovery in Databases: Research Track

  4. Machine Learning and Knowledge Discovery in Databases: Research Track

  5. Machine Learning and Knowledge Discovery in Databases: Research Track

  6. Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track

  7. Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track

Keywords

About this book

The multi-volume set LNAI 14169 until  14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023.

The 196 papers were selected from the 829 submissions for the Research Track, and 58 papers were selected from the 239 submissions for the Applied Data Science Track. 

The volumes are organized in topical sections as follows:

Part I: Active Learning; Adversarial Machine Learning; Anomaly Detection; Applications; Bayesian Methods; Causality; Clustering.

Part II: ​Computer Vision; Deep Learning; Fairness; Federated Learning; Few-shot learning; Generative Models; Graph Contrastive Learning.

Part III: ​Graph Neural Networks; Graphs; Interpretability; Knowledge Graphs; Large-scale Learning.

Part IV: ​Natural Language Processing; Neuro/Symbolic Learning; Optimization; Recommender Systems; Reinforcement Learning; Representation Learning.

Part V: ​Robustness; Time Series; Transfer and Multitask Learning.

Part VI: ​Applied Machine Learning; Computational Social Sciences; Finance; Hardware and Systems; Healthcare & Bioinformatics; Human-Computer Interaction; Recommendation and Information Retrieval.

​Part VII: Sustainability, Climate, and Environment.- Transportation & Urban Planning.- Demo.

Editors and Affiliations

  • CENTAI, Turin, Italy

    Gianmarco De Francisci Morales, Francesco Bonchi

  • NYU and Two Sigma, New York, USA

    Claudia Perlich

  • Netflix, Los Angeles, USA

    Natali Ruchansky

  • Telefonica Research, Barcelona, Spain

    Nicolas Kourtellis

  • Politecnico di Torino, Turin, Italy

    Elena Baralis

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