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ORCIDPKDD / ECML 2025: Porto, Portugal - Part VIII
- Bernhard Pfahringer
, Nathalie Japkowicz, Pedro Larrañaga, Rita P. Ribeiro, Inês Dutra, Mykola Pechenizkiy, Paulo Cortez, Sepideh Pashami, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama:
Machine Learning and Knowledge Discovery in Databases. Research Track and Applied Data Science Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part VIII. Lecture Notes in Computer Science 16020, Springer 2026, ISBN 978-3-662-72242-8
Time Series
- Pinar Sungu Isiacik, Thach Le Nguyen, Timilehin B. Aderinola, Georgiana Ifrim:
An Empirical Evaluation of Foundation Models for Multivariate Time Series Classification. 3-21 - Wenbo Yan, Shurui Wang, Ying Tan:
Hierarchical Information-Guided Spatio-Temporal Mamba for Stock Time Series Forecasting. 22-40 - Wenjun Yu, Jiyanglin Li, Wentao Gao, Niangxi Zhuang, Wen Li, Shouguo Du:
G-GLformer: Transformer with GRU Embedding and Global-Local Attention for Multivariate Time Series Forecasting. 41-56 - Kexin Zhang, Baoyu Jing, K. Selçuk Candan, Dawei Zhou, Qingsong Wen, Han Liu, Kaize Ding:
Cross-Domain Conditional Diffusion Models for Time Series Imputation. 57-74
Transfer and Multitask Learning
- Róbert Belanec, Simon Ostermann, Ivan Srba, Mária Bieliková:
Task Prompt Vectors: Effective Initialization Through Multi-task Soft Prompt Transfer. 77-94 - Thomas Borsani, Andrea Rosani, Giuseppe Nicosia, Giuseppe Di Fatta:
Gradient Similarity Surgery in Multi-task Deep Learning. 95-111 - Mikolaj Malkinski, Jacek Mandziuk:
A Unified View of Abstract Visual Reasoning Problems. 112-129 - Claudio Moroni, Claudio Borile, Carolina Mattsson, Michele Starnini, André Panisson:
Multi-class and Multi-task Strategies for Neural Directed Link Prediction. 130-146 - Zhiyuan Wang, Bokui Chen:
ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-domain Incremental Learning in CLIP. 147-164 - Qianshan Zhan, Qian Wang, Xiao-Jun Zeng:
Progressive Dual-Space Discovering of Unknowns for Source-Free Open-Set Domain Adaptation. 165-181 - Yan Zou, Yongzheng Lu, Na Li, Xiatian Zhu, Lan Du, Ming Yan, Ying Ma:
Target-Adaptive Structure-Semantic Consistency for Unsupervised Graph Domain Adaptation. 182-198
Agriculture, Food and Earth Sciences
- Riccardo Benassi, Francesco Del Buono, Giacomo Guiduzzi, Francesco Guerra:
Forecasting Irregularly Sampled Time Series with Transformer Encoders. 201-217 - Yuxing Chen, Weijie Wang, Camille Kurtz, Sylvain Lobry:
Automating Geospatial Vision Tasks with a Large Language Model Agent. 218-235 - Yuting Ding, Jianyong Zheng, Fei Mei, Ang Gao:
Fourier-Enhanced Adaptive Manifold Latent Feature Analysis for Spatiotemporal Signal Recovery. 236-252 - Katharina Dost, Steffen Albrecht, Paul Maclean, Jörg Wicker, Sandeep K. Gupta:
Understanding Rumen Methanogen Interactions in Sheep Using Machine Learning. 253-269
Education
- David Ing, Fabien Delorme, Saïd Jabbour, Nelly Robin, Lakhdar Sais:
Text Mining from Migration Narratives. 273-291 - Fabio Mercorio, Mario Mezzanzanica, Daniele Potertì, Antonio Serino, Andrea Seveso:
A Benchmark to Evaluate LLMs' Proficiency on Italian Student Competencies. 292-309 - Tingrui Qiao, Caroline Walker, Chris Cunningham, Adam Jang-Jones, Susan M. B. Morton, Kane Meissel, Yun Sing Koh:
Longitudinal Surveys Are Texts: LLM-Enhanced Analysis of School Attendance in New Zealand. 310-327
Engineering and Technology
- Dania Herzalla, Willian T. Lunardi, Martin Andreoni:
Graph Neural Networks for Jamming Source Localization. 331-348 - Francesco Dente, Andy Combey, Alix Lhéritier, Rodrigo Acuna-Agost, E. Diego Mercerat:
Preserving the World Heritage: Post-earthquake Monitoring Based on Structural Break Testing with Deep Temporal Convolutional Features. 349-365 - Ibtihal El Mimouni, Konstantin Avrachenkov:
Fostering Responsibility in Email Marketing: A Contextual Restless Bandit Framework. 366-383 - Thibault Girardin, Nathalie Destouches, Amaury Habrard:
Contextual Hypernetwork for Adaptive Prediction of Laser-Induced Colors on Quasi-random Plasmonic Metasurfaces. 384-402 - Antonia Hain, Simon Gölzhäuser, Nicolas Réhault, Thomas Brox, Matthias Demant:
Legend-Informed Symbol Recognition in Engineering Diagrams with Self-supervised Learning. 403-421 - Matej Jech, Gabriele Maria Grittani, Carlo Maria Lazzarini, Alexander Kovalenko:
Denoising Diffusion Implicit Models for Laser-Plasma Accelerator Simulation Trained With Physical Constraint Loss. 422-437 - Joël Roman Ky, Bertrand Mathieu, Abdelkader Lahmadi, Minqi Wang, Nicolas Marrot, Raouf Boutaba:
RAID: Root Cause Anomaly Identification and Diagnosis. 438-455 - Xiang Li, Xi Fu, Congqi Lin, Xiangkai Wang, Yuhang Zhang, Hao Wang, Zhigang Zhao, Meihong Yang, Yinglong Wang:
A Dynamic Ensemble and Replaying Model for Online Marine Sensor Data Prediction. 456-473 - Zhanyu Liu, Xudong Zhang, Zhidong Hu, Xiejing Li, Fei Peng, Jian Zhou, Siyu Deng, Guanjie Zheng:
Supply Framework of Physical Machine Demand in Elastic Computing Service. 474-491 - Eyal Mazuz, Gilad Fuchs, Alexander Nus, Lior Rokach, Bracha Shapira:
Improving Pricing Recommendations Using Nearest Neighbors Retrieval Via Contrastive Learning and Hard Negatives Mining. 492-507 - Pascal Plettenberg, André Alcalde, Bernhard Sick, Josephine M. Thomas:
Graph Neural Networks for Automatic Addition of Optimizing Components in Printed Circuit Board Schematics. 508-524 - Julian Rodemann, Federico Croppi, Philipp Arens, Yusuf Sale, Julia Herbinger, Bernd Bischl, Eyke Hüllermeier, Thomas Augustin, Conor J. Walsh, Giuseppe Casalicchio:
Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration for Exosuit Personalization. 525-542 - Asier Rodríguez-González, Ignacio Sisamón Serrano, Ignacio Esplugues Conca, Daniel Sánchez Santolaya, Joel Medina Sánchez:
Enforcing Vector Space Stability in Embeddings with Evolving Vocabularies: A Web-App Behavior Perspective. 543-558
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