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ORCIDPKDD / ECML 2025: Porto, Portugal - Part VII
- Rita P. Ribeiro
, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama:
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part VII. Lecture Notes in Computer Science 16019, Springer 2026, ISBN 978-3-032-06108-9
Robustness and Uncertainty
- Pablo Bernabeu-Perez, Enrique Lopez-Cuena, Dario Garcia-Gasulla:
Present and Future Generalization of Synthetic Image Detectors. 3-20 - Laura Fieback, Nishilkumar Balar, Jakob Spiegelberg, Hanno Gottschalk:
ECD: Efficient Contrastive Decoding with Probabilistic Hallucination Detection. 21-38 - Lucas Gnecco Heredia, Benjamin Négrevergne, Yann Chevaleyre:
Lattice Climber Attack: Adversarial Attacks for Randomized Mixtures of Classifiers. 39-55 - Md Athikul Islam, Noel Ellison, Bishal Lakha, Edoardo Serra:
Inconsistent Reasoning Attacks to Identify Weaknesses in Automatic Scientific Claim Verification Tools. 56-73 - Philipp Kopper, David Rügamer, Raphael Sonabend, Bernd Bischl, Andreas Bender:
On Training Survival Models with Scoring Rules. 74-91 - Fudong Lin, Jiadong Lou, Hao Wang, Brian Jalaian, Xu Yuan:
Towards Interpretable Adversarial Examples via Sparse Adversarial Attack. 92-110 - Ghassan Najjar, Céline Berthou, Héléna Vorobieva:
Scaling Multi-label Conformal Prediction with Label Interactions for a Large Number of Labels. 111-128 - Alisa Sheinkman, Sara Wade:
Understanding the Trade-Offs in Accuracy and Uncertainty Quantification: Architecture and Inference Choices in Bayesian Neural Networks. 129-146 - Xiao Wang, Hendrik Borras, Bernhard Klein, Holger Fröning:
Variance-Aware Noisy Training: Hardening DNNs Against Unstable Analog Computations. 147-163 - Jiayu Zhang, Zhiyu Zhu, Xinyi Wang, Silin Liao, Zhibo Jin, Flora Salim, Huaming Chen:
PAR-AdvGAN: Improving Adversarial Attack Capability with Progressive Auto-regression AdvGAN. 164-180
Sequence Models
- Lingyue Fu, Ting Long, Jianghao Lin, Wei Xia, Xinyi Dai, Ruiming Tang, Yasheng Wang, Weinan Zhang, Yong Yu:
AdvKT: An Adversarial Multi-step Training Framework for Knowledge Tracing. 183-200 - Mingxing Shao, Tiancheng Zhang, Minghe Yu, Zhenghao Liu, Yifang Yin, Hengyu Liu, Ge Yu:
Leveraging Student Profiles and the Mamba Framework to Enhance Knowledge Tracing. 201-218 - Jing Yuan, Qi Cai, Xin Gao, Shaojie Tang:
Learning Submodular Sequencing from Samples. 219-234 - Yiyun Zhou, Wenkang Han, Jingyuan Chen:
Revisiting Applicable and Comprehensive Knowledge Tracing in Large-Scale Data. 235-251 - Bernd Zimmering, Cecília Coelho, Vaibhav Gupta, Maria Maleshkova, Oliver Niggemann:
Breaking Free: Decoupling Forced Systems with Laplace Neural Networks. 252-269
Streaming and Spatiotemporal Data
- Aditya Sai Ellendula, Chandrajit Bajaj:
Self-balancing, Memory Efficient, Dynamic Metric Space Data Maintenance, for Rapid Multi-kernel Estimation. 273-289 - Federica Granese, Benjamin Navet, Serena Villata, Charles Bouveyron:
Merging Embedded Topics with Optimal Transport for Online Topic Modeling on Data Streams. 290-307 - Philipp Jahn, Walid Durani, Collin Leiber, Anna Beer, Thomas Seidl:
Going Offline: An Evaluation of the Offline Phase in Stream Clustering. 308-326 - Daniel Nowak Assis, Jean Paul Barddal, Fabrício Enembreck:
Adaptive Options for Decision Trees in Evolving Data Stream Classification. 327-344 - Weilin Ruan, Wei Chen, Xilin Dang, Jianxiang Zhou, Weichuang Li, Xu Liu, Yuxuan Liang:
ST-LoRA: Low-Rank Adaptation for Spatio-Temporal Forecasting. 345-361 - Mika Sipilä, Klaus Nordhausen, Sara Taskinen:
Identifiable Autoregressive Variational Autoencoders for Nonlinear and Nonstationary Spatio-Temporal Blind Source Separation. 362-380
Text and Natural Language Processing
- Tuan-Luc Huynh, Thuy-Trang Vu, Weiqing Wang, Yinwei Wei, Trung Le, Dragan Gasevic, Yuan-Fang Li, Thanh-Toan Do:
PromptDSI: Prompt-Based Rehearsal-Free Continual Learning for Document Retrieval. 383-401 - Joaquim F. Silva, José C. Cunha:
A Scalable Model for Frequency Distribution of Low Occurrence Multi-words Towards Handling Very Large Spectrum of Text Corpora Sizes. 402-418 - Xuan Xu, Beilin Chu, Qinhong Lin, Yixiao Zhong, Fufang Wen, Jiaqi Liu, Binjie Fei, Yu Li, Zhongliang Yang, Linna Zhou:
FinCPRG: A Bidirectional Generation Pipeline for Hierarchical Queries and Rich Relevance in Financial Chinese Passage Retrieval. 419-436 - Haodi Zhang, Xinhe Zhang, Jihua Zhou, Kaishun Wu, Yuanfeng Song, Raymond Chi-Wing Wong:
Speech-to-Visualization: Toward End-to-End Speech-Driven Data Visualization Generation from Natural Language Questions. 437-453 - Yachuan Zhang, Yi Guo:
Text-Guided Dual Interaction for Multimodal Relation Extraction in Social Media. 454-469
Time Series
- Len Feremans, Patrick Schäfer, Wannes Meert:
MotiPlus and MotiSet: Discovering the Best Set of Motiflets in Time Series. 473-489 - Maurice Kraus, David Steinmann, Antonia Wüst, Andre Kokozinski, Kristian Kersting:
Right on Time: Revising Time Series Models by Constraining Their Explanations. 490-507 - Yuting Liu, Qiang Zhou, Hanzhe Li, Chenqi Gong, Jingjing Gu:
C3DE: Causal-Aware Collaborative Neural Controlled Differential Equation for Long-Term Urban Crowd Flow Prediction. 508-525 - Jintao Qu, Zichong Wang, Chenhao Wu, Wenbin Zhang, Dongmei Li:
Bridging Neural Networks and Dynamic Time Warping for Adaptive Time Series Classification. 526-542
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