Abstract is missing.
- Physics-Based Region Clustering to Boost Inference on Computational Fluid Dynamics Flow FieldsRiccardo Margheritti, Onofrio Semeraro, Maurizio Quadrio, Giacomo Boracchi. 3-20 [doi]
- Sparsifying Instance Segmentation Models for Efficient Vision-Based Industrial RecyclingMelanie Neubauer, Ozan Özdenizci, Justus H. Piater, Elmar Rueckert. 21-37 [doi]
- Go with the Flow: Leveraging Physics-Informed Gradients to Solve Real-World Problems in Water Distribution SystemsInaam Ashraf, Janine Strotherm, Luca Hermes, Barbara Hammer. 41-59 [doi]
- Leveraging External Factors in Household-Level Electrical Consumption Forecasting Using HypernetworksFabien Bernier, Maxime Cordy, Yves Le Traon. 60-75 [doi]
- Enhancing Dynamic Control of Inertial District Energy Networks Through a Physics-Informed State-Space ModelTaha Boussaid, François Rousset, Marc Clausse, Vasile-Marian Scuturici. 76-94 [doi]
- KCLNet: Physics-Informed Power Flow Prediction via Constraints ProjectionsPantelis Dogoulis, Karim Tit, Maxime Cordy. 95-110 [doi]
- Risk-Based Thresholding for Reliable Anomaly Detection in Concentrated Solar Power PlantsYorick Estievenart, Sukanya Patra, Souhaib Ben Taieb. 111-128 [doi]
- Learning Topology Actions for Power Grid Control: A Graph-Based Soft-Label Imitation Learning ApproachMohamed Hassouna, Clara Holzhüter, Malte Lehna, Matthijs de Jong, Jan Viebahn, Bernhard Sick, Christoph Scholz 0001. 129-146 [doi]
- Progressive Decomposition-Enhanced Time-Varying Graph Neural Network for Traffic ForecastingJianuo Ji, Hongbin Dong, Xiaoping Zhang. 147-163 [doi]
- CESI: Sparse Input Spatial Interpolation for Heterogeneous and Noisy Hybrid Wireless Sensor NetworksChaofan Li, Till Riedel, Michael Beigl. 164-179 [doi]
- Enhancing Traffic Accident Classifications: Application of NLP Methods for City SafetyEnes Özeren, Alexander Ulbrich, Sascha Filimon, David Rügamer, Andreas Bender. 180-195 [doi]
- Low Visibility Forecasting Using Numerical Weather Prediction DataTopon Kumar Paul, Vidhisha Reddy, Sai Prem Kumar Ayyagari, Ryusei Shingaki, Kaneharu Nishino, Yoshiaki Shiga. 196-212 [doi]
- Curriculum RL Meets Monte Carlo Planning: Optimization of a Real World Container Management ProblemAbhijeet Pendyala, Tobias Glasmachers. 213-228 [doi]
- Urban Verticalization and Water Consumption: A Data-Driven Approach for São PauloArthur Hiratsuka Rezende, André P. de L. F. de Carvalho. 229-245 [doi]
- Order Acquisition Under Competitive Pressure: A Rapidly Adaptive Reinforcement Learning Approach for Ride-Hailing Subsidy StrategiesFangzhou Shi, Xiaopeng Ke, Xinye Xiong, Kexin Meng, Chang Men, Zhengdan Zhu. 246-262 [doi]
- Ordinal Aligned Domain Generalization for Sensor-Based Time Series RegressionYunchuan Shi, Wei Li 0058, Albert Y. Zomaya. 263-280 [doi]
- Density-Aware Walks for Coordinated Campaign DetectionAtul Anand Gopalakrishnan, Jakir Hossain, Tugrulcan Elmas, Ahmet Erdem Sariyüce. 283-298 [doi]
- Fairness is in the Details : Face Dataset AuditingValentin Lafargue, Emmanuelle Claeys, Jean-Michel Loubes. 299-315 [doi]
- On Identifying Fast Road Races: Decomposing Race Conditions and Individual Performance LevelKlaus Brinker. 319-335 [doi]
- Trajectory Imputation in Multi-agent Sports with Derivative-Accumulating Self-ensembleHan-Jun Choi, Hyunsung Kim 0004, Minho Lee, Minchul Jeong, Changjo Kim, Jinsung Yoon, Sang-Ki Ko. 336-353 [doi]
- A Scalable Approach for Unified Large Events Models in SoccerTiago Mendes-Neves, Luís Meireles, João Mendes-Moreira 0001. 354-371 [doi]
- Who is at Risk? Analyzing the Risk of Radicalization Among Reddit UsersEce Calikus, Gianmarco De Francisci Morales, Aristides Gionis. 375-392 [doi]
- Knowledge Distillation for Job Title Prediction and Project Recommendation in Open Source CommunitiesXin Liu, Hang Su, Xuesong Lu. 393-409 [doi]
- Collaborative Interest-Aware Graph Learning for Group IdentificationRui Zhao, Beihong Jin, Beibei Li 0001, Yiyuan Zheng. 410-426 [doi]
- MASTFM: Meta-learning and Data Augmentation to Stress Test Forecasting ModelsRicardo Inácio, Vítor Cerqueira, Marília Barandas, Carlos Soares. 427-431 [doi]
- Time Series Machine Learning with Aeon: Classification and RegressionMatthew Middlehurst, Anthony J. Bagnall, Germain Forestier, Ali Ismail-Fawaz, Antoine Guillaume. 432-437 [doi]
- Machine Learning for Data Streams with CapyMOAYibin 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. 438-443 [doi]
- ProxyLLM : LLM-Driven Framework for Customer Support Through Text-Style TransferSehyeong Jo, Jungwon Seo. 444-448 [doi]
- Introducing Pyra: A High-Level Linter for Data Science SoftwareGreta Dolcetti, Vincenzo Arceri, Antonella Mensi, Enea Zaffanella, Caterina Urban, Agostino Cortesi. 449-453 [doi]
- SustainaML: Enhancing Transparency, Control, and Green Sustainability in AutoMLMehak Mushtaq Malik, Radwa El Shawi. 454-459 [doi]
- An LLM-Based Decision Support System for Strategic Decision-MakingMajd Alkayyal, Simon Malberg, Georg Groh. 460-464 [doi]
- BellatrExplorer: An Interactive Random Forest Local Explainability DashboardRobbe D'hondt, Celine Vens. 465-469 [doi]
- T-REX: Table - Refute or Entail eXplainerTim Luka Horstmann, Baptiste Geisenberger, Mehwish Alam. 470-474 [doi]
- Fairbeat: Assessing and Mitigating Bias with the Composite Balance ScorePierre-Antoine Lequeu, Sofiane Lagraa, Geoffroy Robin, Moussa Ouedraogo. 475-480 [doi]
- Primula-3for Probabilistic Modeling and Reasoning on Graph DataRaffaele Pojer, Manfred Jaeger. 481-485 [doi]
- LLM GameLab: An Interactive Platform for Testing Large Language Models in Board GamesPaulina Morillo, Alex Terreros, Cèsar Ferri, José Hernández-Orallo. 486-490 [doi]
- EXTREMUM: A Web-Based Tool to Generate and Explore Counterfactual Explanations on Tabular and Time-Series DataAthanasios Lakes, Luis Quintero, Panagiotis Papapetrou. 491-496 [doi]
- VisualTreeSearch: Understanding Web Agent Test-Time ScalingDanqing Zhang, Yaoyao Qian, Shiying He, Yuanli Wang, Jingyi Ni, Junyu Cao. 497-501 [doi]
- DetoxAI: A Python Toolkit for Debiasing Deep Learning Models in Computer VisionIgnacy Stepka, Lukasz Sztukiewicz, Michal Wilinski, Jerzy Stefanowski. 502-505 [doi]
- Obfuscation of Sensitive Text in Audiovisual Content Using AIKexin Jiang-Chen, Cèsar Ferri. 506-510 [doi]
- WildInsight: a Chatbot for Wildlife Conservation ResearchAnna Sokol, Xiangliang Zhang 0001, Nitesh V. Chawla. 511-515 [doi]
- Future Designer - Generative AI Meets Interior DesignFilip Nowicki, Arkadiusz Charlinski, Andrzej Wójtowicz. 516-520 [doi]