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ORCIDPKDD / ECML 2024: Vilnius, Lithuania - Part X
- 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 X. Lecture Notes in Computer Science 14950, Springer 2024, ISBN 978-3-031-70380-5
Applied Data Science Track
- Xingyan Li, Andrew M. Sayer, Ian T. Carroll, Xin Huang, Jianwu Wang:
MT-HCCAR: Multi-task Deep Learning with Hierarchical Classification and Attention-Based Regression for Cloud Property Retrieval. 3-18 - Jakub Horenin, Veronika Magdanz, Islam S. M. Khalil, Anke Klingner, Alexander Kovalenko, Miroslav Cepek:
Machine Learning Based Tool for Automated Sperm Cell Tracking and Sperm Bundle Detection. 19-32 - Jason Shuo Zhang, Benjamin Howson, Panayiota Savva, Eleanor Loh:
DISCO: An End-to-End Bandit Framework for Personalised Discount Allocation. 33-49 - Chetraj Pandey, Temitope Adeyeha, Jinsu Hong, Rafal A. Angryk, Berkay Aydin:
Advancing Solar Flare Prediction Using Deep Learning with Active Region Patches. 50-65 - Rianne Margaretha Schouten, Wouter Duivesteijn, Pekka Räsänen, Jacob M. Paul, Mykola Pechenizkiy:
Exceptional Subitizing Patterns: Exploring Mathematical Abilities of Finnish Primary School Children with Piecewise Linear Regression. 66-82 - Xiu Susie Fang, Yonggang Wu, Jinhu Lu, Xiaoyu Gu, Guohao Sun, Yong Zhan:
Intent Enhanced Self-supervised Hypergraph Learning for Session-Based Recommendation. 83-99 - Youran Zhou, Mohamed Reda Bouadjenek, Sunil Aryal:
Missing Data Imputation: Do Advanced ML/DL Techniques Outperform Traditional Approaches? 100-115 - Miriam Alber, Christoph Hönes, Patrick Baier:
Evaluating Vision Transformer Models for Visual Quality Control in Industrial Manufacturing. 116-132 - Sheng Tian, Xintan Zeng, Yifei Hu, Baokun Wang, Yongchao Liu, Yue Jin, Changhua Meng, Chuntao Hong, Tianyi Zhang, Weiqiang Wang:
GraphRPM: Risk Pattern Mining on Industrial Large Attributed Graphs. 133-149 - Abhijeet Pendyala, Asma Atamna, Tobias Glasmachers:
Solving a Real-World Optimization Problem Using Proximal Policy Optimization with Curriculum Learning and Reward Engineering. 150-165 - Tianshu Bao, Hua Wei, Junyi Ji, Daniel B. Work, Taylor T. Johnson:
Spatial-Temporal PDE Networks for Traffic Flow Forecasting. 166-182 - Zhongyu Ouyang, Chunhui Zhang, Shifu Hou, Shang Ma, Chaoran Chen, Toby Li, Xusheng Xiao, Chuxu Zhang, Yanfang Ye:
Symbolic Prompt Tuning Completes the App Promotion Graph. 183-198 - Yaoyao Xu, Xinjian Zhao, Xiaozhuang Song, Benyou Wang, Tianshu Yu:
Boosting Protein Language Models with Negative Sample Mining. 199-214 - Gleb Kumichev, Pavel Blinov, Yulia Kuzkina, Vasily Goncharov, Galina Zubkova, Nikolai Zenovkin, Aleksei Goncharov, Andrey V. Savchenko:
MedSyn: LLM-Based Synthetic Medical Text Generation Framework. 215-230 - Haomin Yu, Yanru Song, Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen:
A Crystal Knowledge-Enhanced Pre-training Framework for Crystal Property Estimation. 231-246 - Noureddine Henka, Sami Tazi, Mohamad Assaad:
Multiplex Community Detection for Resilient Electrical Segmentation Enabling Management of an Increasingly Complex Power Grid. 247-262 - Danil Provodin, Jérémie Joudioux, Eduard Duryev:
Bandits for Sponsored Search Auctions Under Unknown Valuation Model: Case Study in E-Commerce Advertising. 263-279 - Min Tang, Lixin Zou, Shujie Cui, Shiuan-Ni Liang, Zhe Jin:
Unbiased Recommendation Through Invariant Representation Learning. 280-296 - Diego Botache, Jens Decke, Winfried Ripken, Abhinay Dornipati, Franz Götz-Hahn, Mohamed Ayeb, Bernhard Sick:
Enhancing Multi-objective Optimisation Through Machine Learning-Supported Multiphysics Simulation. 297-312 - Somnath Banerjee, Avik Dutta, Aaditya Agrawal, Rima Hazra, Animesh Mukherjee:
DistALANER: Distantly Supervised Active Learning Augmented Named Entity Recognition in the Open Source Software Ecosystem. 313-331 - Zhongjie Duan, Lizhou You, Chengyu Wang, Cen Chen, Ziheng Wu, Weining Qian, Jun Huang:
DiffSynth: Latent In-Iteration Deflickering for Realistic Video Synthesis. 332-347 - Kuang-Da Wang, Wei-Yao Wang, Ping-Chun Hsieh, Wen-Chih Peng:
Offline Imitation of Badminton Player Behavior via Experiential Contexts and Brownian Motion. 348-364 - Fynn Bachmann, Cristina Sarasua, Abraham Bernstein:
Fast and Adaptive Questionnaires for Voting Advice Applications. 365-380 - Xin Liu, Yu Wang, Qiwen Dong, Xuesong Lu:
Job Title Prediction as a Dual Task of Expertise Prediction in Open Source Software. 381-396 - Nataliia Kholodna, Sahib Julka, Mohammad Khodadadi, Muhammed Nurullah Gumus, Michael Granitzer:
LLMs in the Loop: Leveraging Large Language Model Annotations for Active Learning in Low-Resource Languages. 397-412 - Xian Yang, Ranga Raju Vatsavai:
Multi-spectral Gradient Residual Network for Haze Removal in Multi-sensor Remote Sensing Imagery. 413-428 - Yiran Huang, Yexu Zhou, Haibin Zhao, Likun Fang, Till Riedel, Michael Beigl:
ExTea: An Evolutionary Algorithm-Based Approach for Enhancing Explainability in Time-Series Models. 429-446 - Maksim Kukushkin, Martin Bogdan, Thomas Schmid:
BiCAE - A Bimodal Convolutional Autoencoder for Seed Purity Testing. 447-462
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