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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 VI

  • 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 14174)

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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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.

Keywords

Table of contents (41 papers)

  1. Front Matter

    Pages i-lv
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  2. Applied Machine Learning

    1. Front Matter

      Pages 1-1
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    2. Rectifying Bias in Ordinal Observational Data Using Unimodal Label Smoothing

      • Stefan Haas, Eyke Hüllermeier
      Pages 3-18

    3. Class-Conditional Label Noise in Astroparticle Physics

      • Mirko Bunse, Lukas Pfahler
      Pages 19-35

    4. A Baseline Generative Probabilistic Model for Weakly Supervised Learning

      • Georgios Papadopoulos, Fran Silavong, Sean Moran
      Pages 36-50

    5. DyCOD - Determining Cash on Delivery Limits for Real-Time E-commerce Transactions via Constrained Optimisation Modelling

      • Akash Deep, Sri Charan Kattamuru, Meghana Negi, Jose Mathew, Jairaj Sathyanarayana
      Pages 51-65

  3. Computational Social Sciences

    1. Front Matter

      Pages 67-67
      Download chapter PDF

    2. Pattern Mining for Anomaly Detection in Graphs: Application to Fraud in Public Procurement

      • Lucas Potin, Rosa Figueiredo, Vincent Labatut, Christine Largeron
      Pages 69-87

    3. Aspect-Based Complaint and Cause Detection: A Multimodal Generative Framework with External Knowledge Infusion

      • Raghav Jain, Apoorv Verma, Apoorva Singh, Vivek Gangwar, Sriparna Saha
      Pages 88-104

    4. Sequence-Graph Fusion Neural Network for User Mobile App Behavior Prediction

      • Yizhuo Wang, Renhe Jiang, Hangchen Liu, Du Yin, Xuan Song
      Pages 105-121

    5. DegUIL: Degree-Aware Graph Neural Networks for Long-Tailed User Identity Linkage

      • Meixiu Long, Siyuan Chen, Xin Du, Jiahai Wang
      Pages 122-138

    6. Ex-ThaiHate: A Generative Multi-task Framework for Sentiment and Emotion Aware Hate Speech Detection with Explanation in Thai

      • Krishanu Maity, Shaubhik Bhattacharya, Salisa Phosit, Sawarod Kongsamlit, Sriparna Saha, Kitsuchart Pasupa
      Pages 139-156

    7. Deep Serial Number: Computational Watermark for DNN Intellectual Property Protection

      • Ruixiang Tang, Mengnan Du, Xia Hu
      Pages 157-173

    8. How Early Can We Detect? Detecting Misinformation on Social Media Using User Profiling and Network Characteristics

      • Shreya Ghosh, Prasenjit Mitra
      Pages 174-189

    9. Boosting the Performance of Deployable Timestamped Directed GNNs via Time-Relaxed Sampling

      • Arihant Jain, Gundeep Arora, Anoop Saladi
      Pages 190-206

    10. Semi-Supervised Social Bot Detection with Initial Residual Relation Attention Networks

      • Ming Zhou, Wenzheng Feng, Yifan Zhu, Dan Zhang, Yuxiao Dong, Jie Tang
      Pages 207-224

  4. Finance

    1. Front Matter

      Pages 225-225
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    2. On Calibration of Mathematical Finance Models by Hypernetworks

      • Yongxin Yang, Timothy M. Hospedales
      Pages 227-242

    3. PU GNN: Chargeback Fraud Detection in P2E MMORPGs via Graph Attention Networks with Imbalanced PU Labels

      • Jiho Choi, Junghoon Park, Woocheol Kim, Jin-Hyeok Park, Yumin Suh, Minchang Sung
      Pages 243-258

    4. BCAD: An Interpretable Anomaly Transaction Detection System Based on Behavior Consistency

      • Jun Hu, Xu Min, Xiaolu Zhang, Chilin Fu, Weichang Wu, Jun Zhou
      Pages 259-274
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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

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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