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Publication search results
found 28 matches
- 2023
- Yuzhou Chen, Tian Jiang, Yulia R. Gel:
H2-Nets: Hyper-hodge Convolutional Neural Networks for Time-Series Forecasting. ECML/PKDD (5) 2023: 271-289 - Jyotishka Ray Choudhury, Aytijhya Saha, Sarbojit Roy, Subhajit Dutta:
Robust Classification of High-Dimensional Data Using Data-Adaptive Energy Distance. ECML/PKDD (5) 2023: 86-101 - Laurens Devos, Lorenzo Perini, Wannes Meert, Jesse Davis:
Detecting Evasion Attacks in Deployed Tree Ensembles. ECML/PKDD (5) 2023: 120-136 - Bastien Dussap, Gilles Blanchard, Badr-Eddine Chérief-Abdellatif:
Label Shift Quantification with Robustness Guarantees via Distribution Feature Matching. ECML/PKDD (5) 2023: 69-85 - Chi Hong, Jiyue Huang, Robert Birke, Lydia Y. Chen:
Exploring and Exploiting Data-Free Model Stealing. ECML/PKDD (5) 2023: 20-35 - Bhawani Shankar Leelar, Meelis Kull:
Generality-Training of a Classifier for Improved Calibration in Unseen Contexts. ECML/PKDD (5) 2023: 374-391 - Zhuoqun Li, Mingxuan Sun:
Sparse Transformer Hawkes Process for Long Event Sequences. ECML/PKDD (5) 2023: 172-188 - Cheng Liang, Di Wu, Yi He, Teng Huang, Zhong Chen, Xin Luo:
MMA: Multi-Metric-Autoencoder for Analyzing High-Dimensional and Incomplete Data. ECML/PKDD (5) 2023: 3-19 - Mihailo Obrenovic, Thomas Andrew Lampert, Milos R. Ivanovic, Pierre Gançarski:
Constrained-HIDA: Heterogeneous Image Domain Adaptation Guided by Constraints. ECML/PKDD (5) 2023: 443-458 - Kai Ouyang, Wenhao Zheng, Chen Tang, Xuanji Xiao, Hai-Tao Zheng:
Click-Aware Structure Transfer with Sample Weight Assignment for Post-Click Conversion Rate Estimation. ECML/PKDD (5) 2023: 426-442 - François Painblanc, Laetitia Chapel, Nicolas Courty, Chloé Friguet, Charlotte Pelletier, Romain Tavenard:
Match-And-Deform: Time Series Domain Adaptation Through Optimal Transport and Temporal Alignment. ECML/PKDD (5) 2023: 341-356 - Junwoo Park, Jungsoo Lee, Youngin Cho, Woncheol Shin, Dongmin Kim, Jaegul Choo, Edward Choi:
Deep Imbalanced Time-Series Forecasting via Local Discrepancy Density. ECML/PKDD (5) 2023: 139-155 - Amal Saadallah, Matthias Jakobs:
Online Deep Hybrid Ensemble Learning for Time Series Forecasting. ECML/PKDD (5) 2023: 156-171 - Moussa Kassem Sbeyti, Michelle Karg, Christian Wirth, Azarm Nowzad, Sahin Albayrak:
Overcoming the Limitations of Localization Uncertainty: Efficient and Exact Non-linear Post-processing and Calibration. ECML/PKDD (5) 2023: 52-68 - Christian Schlauch, Christian Wirth, Nadja Klein:
Informed Priors for Knowledge Integration in Trajectory Prediction. ECML/PKDD (5) 2023: 392-407 - Hongyang Su, Xiaolong Wang, Qingcai Chen, Yang Qin:
Efficient Adaptive Spatial-Temporal Attention Network for Traffic Flow Forecasting. ECML/PKDD (5) 2023: 205-220 - Ke Sun, Yingnan Zhao, Shangling Jui, Linglong Kong:
Exploring the Training Robustness of Distributional Reinforcement Learning Against Noisy State Observations. ECML/PKDD (5) 2023: 36-51 - Cong Wang, Xiaofeng Cao, Lanzhe Guo, Zenglin Shi:
DualMatch: Robust Semi-supervised Learning with Dual-Level Interaction. ECML/PKDD (5) 2023: 102-119 - Xiyu Wang, Pengxin Guo, Yu Zhang:
Unsupervised Domain Adaptation via Bidirectional Cross-Attention Transformer. ECML/PKDD (5) 2023: 309-325 - Zhen Wang, Ting Jiang, Zenghui Xu, Jianliang Gao, Ou Wu, Ke Yan, Ji Zhang:
Uncovering Multivariate Structural Dependency for Analyzing Irregularly Sampled Time Series. ECML/PKDD (5) 2023: 238-254 - Luxi Wang, Yingming Li:
CAENet: Efficient Multi-task Learning for Joint Semantic Segmentation and Depth Estimation. ECML/PKDD (5) 2023: 408-425 - Boqian Wu, Benmeng Lyu, Jiawen Gu:
Weighted Multivariate Mean Reversion for Online Portfolio Selection. ECML/PKDD (5) 2023: 255-270 - Aras Yurtman, Jonas Soenen, Wannes Meert, Hendrik Blockeel:
Estimating Dynamic Time Warping Distance Between Time Series with Missing Data. ECML/PKDD (5) 2023: 221-237 - Dana Oshri Zalman, Shai Fine:
Multiple-Source Adaptation Using Variational Rényi Bound Optimization. ECML/PKDD (5) 2023: 326-340 - Junru Zhang, Lang Feng, Haowen Zhang, Yuhan Wu, Yabo Dong:
Adacket: ADAptive Convolutional KErnel Transform for Multivariate Time Series Classification. ECML/PKDD (5) 2023: 189-204 - Zeren Zhang, Xingjian Li, Tao Hong, Tianyang Wang, Jinwen Ma, Haoyi Xiong, Cheng-Zhong Xu:
Overcoming Catastrophic Forgetting for Fine-Tuning Pre-trained GANs. ECML/PKDD (5) 2023: 293-308 - Jincheng Zhong, Haoyu Ma, Ximei Wang, Zhi Kou, Mingsheng Long:
Bi-tuning: Efficient Transfer from Pre-trained Models. ECML/PKDD (5) 2023: 357-373 - Danai Koutra, Claudia Plant, Manuel Gomez Rodriguez, Elena Baralis, Francesco Bonchi:
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 [contents]
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