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ORCIDPKDD / ECML 2025: Porto, Portugal - Part X
- Inês Dutra
, Mykola Pechenizkiy, Paulo Cortez, Sepideh Pashami, Arian Pasquali, Nuno Moniz, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama:
Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track and Demo Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part X. Lecture Notes in Computer Science 16022, Springer 2026, ISBN 978-3-032-06128-7
Industry (4.0, 5.0, Manufacturing, ...)
- Riccardo Margheritti, Onofrio Semeraro, Maurizio Quadrio, Giacomo Boracchi:
Physics-Based Region Clustering to Boost Inference on Computational Fluid Dynamics Flow Fields. 3-20 - Melanie Neubauer, Ozan Özdenizci, Justus H. Piater, Elmar Rueckert:
Sparsifying Instance Segmentation Models for Efficient Vision-Based Industrial Recycling. 21-37
Smart Cities, Transportation and Utilities (e.g., Energy)
- Inaam Ashraf, Janine Strotherm, Luca Hermes, Barbara Hammer:
Go with the Flow: Leveraging Physics-Informed Gradients to Solve Real-World Problems in Water Distribution Systems. 41-59 - Fabien Bernier, Maxime Cordy, Yves Le Traon:
Leveraging External Factors in Household-Level Electrical Consumption Forecasting Using Hypernetworks. 60-75 - Taha Boussaid, François Rousset, Marc Clausse, Vasile-Marian Scuturici:
Enhancing Dynamic Control of Inertial District Energy Networks Through a Physics-Informed State-Space Model. 76-94 - Pantelis Dogoulis, Karim Tit, Maxime Cordy:
KCLNet: Physics-Informed Power Flow Prediction via Constraints Projections. 95-110 - Yorick Estievenart, Sukanya Patra, Souhaib Ben Taieb:
Risk-Based Thresholding for Reliable Anomaly Detection in Concentrated Solar Power Plants. 111-128 - Mohamed Hassouna, Clara Holzhüter, Malte Lehna, Matthijs de Jong, Jan Viebahn, Bernhard Sick, Christoph Scholz:
Learning Topology Actions for Power Grid Control: A Graph-Based Soft-Label Imitation Learning Approach. 129-146 - Jianuo Ji, Hongbin Dong, Xiaoping Zhang:
Progressive Decomposition-Enhanced Time-Varying Graph Neural Network for Traffic Forecasting. 147-163 - Chaofan Li, Till Riedel, Michael Beigl:
CESI: Sparse Input Spatial Interpolation for Heterogeneous and Noisy Hybrid Wireless Sensor Networks. 164-179 - Enes Özeren, Alexander Ulbrich, Sascha Filimon, David Rügamer, Andreas Bender:
Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety. 180-195 - Topon Kumar Paul, Vidhisha Reddy, Sai Prem Kumar Ayyagari, Ryusei Shingaki, Kaneharu Nishino, Yoshiaki Shiga:
Low Visibility Forecasting Using Numerical Weather Prediction Data. 196-212 - Abhijeet Pendyala, Tobias Glasmachers:
Curriculum RL Meets Monte Carlo Planning: Optimization of a Real World Container Management Problem. 213-228 - Arthur Hiratsuka Rezende, André P. de L. F. de Carvalho:
Urban Verticalization and Water Consumption: A Data-Driven Approach for São Paulo. 229-245 - Fangzhou Shi, Xiaopeng Ke, Xinye Xiong, Kexin Meng, Chang Men, Zhengdan Zhu:
Order Acquisition Under Competitive Pressure: A Rapidly Adaptive Reinforcement Learning Approach for Ride-Hailing Subsidy Strategies. 246-262 - Yunchuan Shi, Wei Li, Albert Y. Zomaya:
Ordinal Aligned Domain Generalization for Sensor-Based Time Series Regression. 263-280
Social Sciences (Social Good, Psycology, History, ...)
- Atul Anand Gopalakrishnan, Jakir Hossain, Tugrulcan Elmas, Ahmet Erdem Sariyüce:
Density-Aware Walks for Coordinated Campaign Detection. 283-298 - Valentin Lafargue, Emmanuelle Claeys, Jean-Michel Loubes:
Fairness is in the Details : Face Dataset Auditing. 299-315
Sports
- Klaus Brinker:
On Identifying Fast Road Races: Decomposing Race Conditions and Individual Performance Level. 319-335 - Han-Jun Choi, Hyunsung Kim, Minho Lee, Minchul Jeong, Changjo Kim, Jinsung Yoon, Sang-Ki Ko:
Trajectory Imputation in Multi-agent Sports with Derivative-Accumulating Self-ensemble. 336-353 - Tiago Mendes-Neves, Luís Meireles, João Mendes-Moreira:
A Scalable Approach for Unified Large Events Models in Soccer. 354-371
Web and Social Networks
- Ece Calikus, Gianmarco De Francisci Morales, Aristides Gionis:
Who is at Risk? Analyzing the Risk of Radicalization Among Reddit Users. 375-392 - Xin Liu, Hang Su, Xuesong Lu:
Knowledge Distillation for Job Title Prediction and Project Recommendation in Open Source Communities. 393-409 - Rui Zhao, Beihong Jin, Beibei Li, Yiyuan Zheng:
Collaborative Interest-Aware Graph Learning for Group Identification. 410-426 - Ricardo Inácio, Vítor Cerqueira, Marília Barandas, Carlos Soares:
MASTFM: Meta-learning and Data Augmentation to Stress Test Forecasting Models. 427-431 - Matthew Middlehurst, Anthony J. Bagnall, Germain Forestier, Ali Ismail-Fawaz, Antoine Guillaume:
Time Series Machine Learning with Aeon: Classification and Regression. 432-437 - Yibin Sun, Heitor Murilo Gomes, Anton Lee, Nuwan Gunasekara, Guilherme Weigert Cassales, Justin Liu, Marco Heyden, Vítor Cerqueira, Maroua Bahri, Yun Sing Koh, Bernhard Pfahringer, Albert Bifet:
Machine Learning for Data Streams with CapyMOA. 438-443 - Sehyeong Jo, Jungwon Seo:
ProxyLLM : LLM-Driven Framework for Customer Support Through Text-Style Transfer. 444-448 - Greta Dolcetti, Vincenzo Arceri, Antonella Mensi, Enea Zaffanella, Caterina Urban, Agostino Cortesi:
Introducing Pyra: A High-Level Linter for Data Science Software. 449-453 - Mehak Mushtaq Malik, Radwa El Shawi:
SustainaML: Enhancing Transparency, Control, and Green Sustainability in AutoML. 454-459 - Majd Alkayyal, Simon Malberg, Georg Groh:
An LLM-Based Decision Support System for Strategic Decision-Making. 460-464 - Robbe D'hondt, Celine Vens:
BellatrExplorer: An Interactive Random Forest Local Explainability Dashboard. 465-469 - Tim Luka Horstmann, Baptiste Geisenberger, Mehwish Alam:
T-REX: Table - Refute or Entail eXplainer. 470-474 - Pierre-Antoine Lequeu, Sofiane Lagraa, Geoffroy Robin, Moussa Ouedraogo:
Fairbeat: Assessing and Mitigating Bias with the Composite Balance Score. 475-480 - Raffaele Pojer, Manfred Jaeger:
Primula-3for Probabilistic Modeling and Reasoning on Graph Data. 481-485 - Paulina Morillo, Alex Terreros, Cèsar Ferri, José Hernández-Orallo:
LLM GameLab: An Interactive Platform for Testing Large Language Models in Board Games. 486-490 - Athanasios Lakes, Luis Quintero, Panagiotis Papapetrou:
EXTREMUM: A Web-Based Tool to Generate and Explore Counterfactual Explanations on Tabular and Time-Series Data. 491-496 - Danqing Zhang, Yaoyao Qian, Shiying He, Yuanli Wang, Jingyi Ni, Junyu Cao:
VisualTreeSearch: Understanding Web Agent Test-Time Scaling. 497-501 - Ignacy Stepka, Lukasz Sztukiewicz, Michal Wilinski, Jerzy Stefanowski:
DetoxAI: A Python Toolkit for Debiasing Deep Learning Models in Computer Vision. 502-505 - Kexin Jiang-Chen, Cèsar Ferri:
Obfuscation of Sensitive Text in Audiovisual Content Using AI. 506-510 - Anna Sokol, Xiangliang Zhang, Nitesh V. Chawla:
WildInsight: a Chatbot for Wildlife Conservation Research. 511-515 - Filip Nowicki, Arkadiusz Charlinski, Andrzej Wójtowicz:
Future Designer - Generative AI Meets Interior Design. 516-520
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