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PKDD / ECML 2023: Turin, Italy - Part V
- Danai Koutra
, Claudia Plant
Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part V. Lecture Notes in Computer Science 14173, Springer 2023, ISBN 978-3-031-43423-5
Robustness
- Cheng Liang, Di Wu, Yi He, Teng Huang, Zhong Chen, Xin Luo:
MMA: Multi-Metric-Autoencoder for Analyzing High-Dimensional and Incomplete Data. 3-19 - Chi Hong, Jiyue Huang, Robert Birke, Lydia Y. Chen:
Exploring and Exploiting Data-Free Model Stealing. 20-35 - Ke Sun, Yingnan Zhao, Shangling Jui, Linglong Kong:
Exploring the Training Robustness of Distributional Reinforcement Learning Against Noisy State Observations. 36-51 - Moussa Kassem Sbeyti
Overcoming the Limitations of Localization Uncertainty: Efficient and Exact Non-linear Post-processing and Calibration. 52-68 - Bastien Dussap
Label Shift Quantification with Robustness Guarantees via Distribution Feature Matching. 69-85 - Jyotishka Ray Choudhury
Robust Classification of High-Dimensional Data Using Data-Adaptive Energy Distance. 86-101 - Cong Wang, Xiaofeng Cao, Lanzhe Guo, Zenglin Shi:
DualMatch: Robust Semi-supervised Learning with Dual-Level Interaction. 102-119 - Laurens Devos
Detecting Evasion Attacks in Deployed Tree Ensembles. 120-136
Time Series
- Junwoo Park, Jungsoo Lee, Youngin Cho, Woncheol Shin, Dongmin Kim, Jaegul Choo, Edward Choi:
Deep Imbalanced Time-Series Forecasting via Local Discrepancy Density. 139-155 - Amal Saadallah, Matthias Jakobs:
Online Deep Hybrid Ensemble Learning for Time Series Forecasting. 156-171 - Zhuoqun Li
Sparse Transformer Hawkes Process for Long Event Sequences. 172-188 - Junru Zhang
Adacket: ADAptive Convolutional KErnel Transform for Multivariate Time Series Classification. 189-204 - Hongyang Su
Efficient Adaptive Spatial-Temporal Attention Network for Traffic Flow Forecasting. 205-220 - Aras Yurtman
Estimating Dynamic Time Warping Distance Between Time Series with Missing Data. 221-237 - Zhen Wang, Ting Jiang, Zenghui Xu, Jianliang Gao, Ou Wu, Ke Yan, Ji Zhang:
Uncovering Multivariate Structural Dependency for Analyzing Irregularly Sampled Time Series. 238-254 - Boqian Wu, Benmeng Lyu, Jiawen Gu:
Weighted Multivariate Mean Reversion for Online Portfolio Selection. 255-270 - Yuzhou Chen, Tian Jiang, Yulia R. Gel:
H2-Nets: Hyper-hodge Convolutional Neural Networks for Time-Series Forecasting. 271-289
Transfer and Multitask Learning
- Zeren Zhang, Xingjian Li, Tao Hong, Tianyang Wang, Jinwen Ma, Haoyi Xiong
Overcoming Catastrophic Forgetting for Fine-Tuning Pre-trained GANs. 293-308 - Xiyu Wang, Pengxin Guo, Yu Zhang:
Unsupervised Domain Adaptation via Bidirectional Cross-Attention Transformer. 309-325 - Dana Oshri Zalman, Shai Fine:
Multiple-Source Adaptation Using Variational Rényi Bound Optimization. 326-340 - François Painblanc, Laetitia Chapel, Nicolas Courty, Chloé Friguet, Charlotte Pelletier
Match-And-Deform: Time Series Domain Adaptation Through Optimal Transport and Temporal Alignment. 341-356 - Jincheng Zhong, Haoyu Ma, Ximei Wang, Zhi Kou, Mingsheng Long:
Bi-tuning: Efficient Transfer from Pre-trained Models. 357-373 - Bhawani Shankar Leelar
Generality-Training of a Classifier for Improved Calibration in Unseen Contexts. 374-391 - Christian Schlauch, Christian Wirth, Nadja Klein:
Informed Priors for Knowledge Integration in Trajectory Prediction. 392-407 - Luxi Wang, Yingming Li:
CAENet: Efficient Multi-task Learning for Joint Semantic Segmentation and Depth Estimation. 408-425 - Kai Ouyang, Wenhao Zheng
Click-Aware Structure Transfer with Sample Weight Assignment for Post-Click Conversion Rate Estimation. 426-442 - Mihailo Obrenovic
Constrained-HIDA: Heterogeneous Image Domain Adaptation Guided by Constraints. 443-458
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