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ORCIDPKDD / ECML 2024: Vilnius, Lithuania - Part IX
- Albert Bifet
, Tomas Krilavicius, Ioanna Miliou, Slawomir Nowaczyk:
Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part IX. Lecture Notes in Computer Science 14949, Springer 2024, ISBN 978-3-031-70377-5
Applied Data Science Track
- Samaneh Mahdavifar, Mohd Saqib, Benjamin C. M. Fung, Philippe Charland, Andrew Walenstein:
VulEXplaineR: XAI for Vulnerability Detection on Assembly Code. 3-20 - Yupei Du, Jacek Golebiowski, Philipp Schmidt, Ziawasch Abedjan:
Guiding Catalogue Enrichment with User Queries. 21-37 - Frederico Metelo, Cláudia Soares, Stevo Rackovic, Pedro Ákos Costa:
PeersimGym: An Environment for Solving the Task Offloading Problem with Reinforcement Learning. 38-54 - Ben Chen, Huangyu Dai, Xiang Ma, Wen Jiang, Wei Ning:
Robust Interaction-Based Relevance Modeling for Online e-Commerce Search. 55-71 - Benjamin Parlier, Lou Salaün, Hong Yang:
Learning Optimal Linear Precoding for Cell-Free Massive MIMO with GNN. 72-88 - Rui Zhao, Beihong Jin, Yimin Lv, Yiyuan Zheng, Weijiang Lai:
Multiple Hypergraph Learning for Ephemeral Group Recommendation. 89-105 - Le Kang, Tai-Jiang Mu, Xiaodong Ning:
Spoofing Transaction Detection with Group Perceptual Enhanced Graph Neural Network. 106-122 - Alfiya M. Shaikh, Hrithik Nambiar, Kshitish Ghate, Swarnali Banik, Sougata Sen, Surjya Ghosh, Vaskar Raychoudhury, Niloy Ganguly, Snehanshu Saha:
Self-SLAM: A Self-supervised Learning Based Annotation Method to Reduce Labeling Overhead. 123-140 - Yiyuan Zheng, Beibei Li, Beihong Jin, Rui Zhao, Weijiang Lai, Tao Xiang:
Multi-intent Driven Contrastive Sequential Recommendation. 141-156 - Mohammad Golam Sohrab, Makoto Miwa:
KAT5: Knowledge-Aware Transfer Learning with a Text-to-Text Transfer Transformer. 157-173 - Haoyu Sun, Xin Liu, Yuxuan Bian, Peng Zhu, Dawei Cheng, Yuqi Liang:
Asymmetric Graph-Based Deep Reinforcement Learning for Portfolio Optimization. 174-189 - Yu Wang, Xin Liu, Xuesong Lu, Aoying Zhou:
Code Summarization with Project-Specific Features. 190-206 - Ferdinand Rewicki, Jakob Gawlikowski, Julia Niebling, Joachim Denzler:
Unraveling Anomalies in Time: Unsupervised Discovery and Isolation of Anomalous Behavior in Bio-Regenerative Life Support System Telemetry. 207-222 - Yufan Kang, Jeffrey Chan, Wei Shao, Flora D. Salim, Christopher Leckie:
Long-Term Fairness in Ride-Hailing Platform. 223-239 - Chenchen Li, Linfeng Shi, Chunyi Zhou, Zhaoxin Huan, Chengfu Tang, Xiaolu Zhang, Xudong Wang, Jun Zhou, Song Liu:
A Merge Sort Based Ranking System for the Evaluation of Large Language Models. 240-255 - Kevlyn Kadamala, Des Chambers, Enda Barrett:
Enhancing HVAC Control Efficiency: A Hybrid Approach Using Imitation and Reinforcement Learning. 256-270 - Jingwei Liu, Hongyan Li, Shenda Hong:
Synthesis of Standard 12-Lead ECG from Single-Lead ECG Using Shifted Diffusion Models. 271-286 - Yao Liu, Yongfei Zhang, Xin Wang:
SAGS-DynamicBio: Integrating Semantic-Aware and Graph Structure-Aware Embedding for Dynamic Biological Data with Knowledge Graphs. 287-302 - Manuel Dileo, Raffaele Olmeda, Margherita Pindaro, Matteo Zignani:
Graph Machine Learning for Fast Product Development from Formulation Trials. 303-318 - Yulia Grushetskaya, Mike Sips, Reyko Schachtschneider, Mohammadmehdi Saberioon, Akram Mahan:
HPExplorer: XAI Method to Explore the Relationship Between Hyperparameters and Model Performance. 319-334 - Zhenhao Zhang, Yuxi Liu, Jiang Bian, Antonio Jimeno-Yepes, Jun Shen, Fuyi Li, Guodong Long, Flora D. Salim:
Boosting Patient Representation Learning via Graph Contrastive Learning. 335-350 - Emmanuelle Claeys, Myriam Maumy-Bertrand, Pierre Gançarski:
Time Series Clustering for Enhanced Dynamic Allocation in A/B Testing. 351-367 - Lukasz Lepak, Pawel Wawrzynski:
Reinforcement Learning Meets Microeconomics: Learning to Designate Price-Dependent Supply and Demand for Automated Trading. 368-384 - Shrey Gupta, Yongbee Park, Jianzhao Bi, Suyash Gupta, Andreas Züfle, Avani Wildani, Yang Liu:
Spatial Transfer Learning for Estimating PM2.5 in Data-Poor Regions. 385-400 - Liwei Che, Jiaqi Wang, Xinyue Liu, Fenglong Ma:
Leveraging Foundation Models for Multi-modal Federated Learning with Incomplete Modality. 401-417 - Ziheng Zhou, Haojia Zuo, Ying Zhao, Wenguang Chen:
Contrastive Learning Enhanced Diffusion Model for Improving Tropical Cyclone Intensity Estimation with Test-Time Adaptation. 418-434 - Xiaojie Hong, Zixin Song, Liangzhi Li, Xiaoli Wang, Feiyan Liu:
BESTMVQA: A Benchmark Evaluation System for Medical Visual Question Answering. 435-451 - Tom Bamford, David Toal, Andy J. Keane:
AeroINR: Meta-learning for Efficient Generation of Aerodynamic Geometries. 452-467
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