ECML/PKDD (5)

Keyphrases

Publications

2023

Bhawani Shankar Leelar, Meelis Kull
Generality-Training of a Classifier for Improved Calibration in Unseen Contexts. ECML/PKDD (5) (2023)
Aras Yurtman, Jonas Soenen, Wannes Meert, Hendrik Blockeel
Estimating Dynamic Time Warping Distance Between Time Series with Missing Data. ECML/PKDD (5) (2023)
Hongyang Su, Xiaolong Wang, Qingcai Chen, Yang Qin
Efficient Adaptive Spatial-Temporal Attention Network for Traffic Flow Forecasting. ECML/PKDD (5) (2023)
Luxi Wang, Yingming Li
CAENet: Efficient Multi-task Learning for Joint Semantic Segmentation and Depth Estimation. ECML/PKDD (5) (2023)
Laurens Devos, Lorenzo Perini, Wannes Meert, Jesse Davis
Detecting Evasion Attacks in Deployed Tree Ensembles. ECML/PKDD (5) (2023)
Zhuoqun Li, Mingxuan Sun
Sparse Transformer Hawkes Process for Long Event Sequences. ECML/PKDD (5) (2023)
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)
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)
Chi Hong, Jiyue Huang, Robert Birke, Lydia Y. Chen
Exploring and Exploiting Data-Free Model Stealing. ECML/PKDD (5) (2023)
Boqian Wu, Benmeng Lyu, Jiawen Gu
Weighted Multivariate Mean Reversion for Online Portfolio Selection. ECML/PKDD (5) (2023)
Amal Saadallah, Matthias Jakobs
Online Deep Hybrid Ensemble Learning for Time Series Forecasting. ECML/PKDD (5) (2023)
Ke Sun, Yingnan Zhao, Shangling Jui, Linglong Kong
Exploring the Training Robustness of Distributional Reinforcement Learning Against Noisy State Observations. ECML/PKDD (5) (2023)
Christian Schlauch, Christian Wirth, Nadja Klein
Informed Priors for Knowledge Integration in Trajectory Prediction. ECML/PKDD (5) (2023)
Cong Wang, Xiaofeng Cao, Lanzhe Guo, Zenglin Shi
DualMatch: Robust Semi-supervised Learning with Dual-Level Interaction. ECML/PKDD (5) (2023)
Dana Oshri Zalman, Shai Fine
Multiple-Source Adaptation Using Variational Rényi Bound Optimization. ECML/PKDD (5) (2023)
Junru Zhang, Lang Feng, Haowen Zhang, Yuhan Wu, Yabo Dong
Adacket: ADAptive Convolutional KErnel Transform for Multivariate Time Series Classification. ECML/PKDD (5) (2023)
Jyotishka Ray Choudhury, Aytijhya Saha, Sarbojit Roy, Subhajit Dutta
Robust Classification of High-Dimensional Data Using Data-Adaptive Energy Distance. ECML/PKDD (5) (2023)
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)
Jincheng Zhong, Haoyu Ma, Ximei Wang, Zhi Kou, Mingsheng Long
Bi-tuning: Efficient Transfer from Pre-trained Models. ECML/PKDD (5) (2023)
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)
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)
Xiyu Wang, Pengxin Guo, Yu Zhang
Unsupervised Domain Adaptation via Bidirectional Cross-Attention Transformer. ECML/PKDD (5) (2023)
Mihailo Obrenovic, Thomas Andrew Lampert, Milos R. Ivanovic, Pierre Gançarski
Constrained-HIDA: Heterogeneous Image Domain Adaptation Guided by Constraints. ECML/PKDD (5) (2023)
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)
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)
Bastien Dussap, Gilles Blanchard, Badr-Eddine Chérief-Abdellatif
Label Shift Quantification with Robustness Guarantees via Distribution Feature Matching. ECML/PKDD (5) (2023)
Yuzhou Chen, Tian Jiang, Yulia R. Gel
-Nets: Hyper-hodge Convolutional Neural Networks for Time-Series Forecasting. ECML/PKDD (5) (2023)

volume 14173, 2023

Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part V ECML/PKDD (5) 14173 (2023)

volume 13717, 2023

Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part V ECML/PKDD (5) 13717 (2023)

2022