Machine learning and knowledge discovery in databases

Machine learning and knowledge discovery in databases Part 5 Research track

Robustness.- Time Series.- Transfer and Multitask Learning.

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Bibliographische Detailangaben
Körperschaft: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (VerfasserIn)
Weitere Verfasser: Koutra, Danai (HerausgeberIn), Plant, Claudia (HerausgeberIn), Rodriguez, Manuel Gomez (HerausgeberIn), Baralis, Elena (HerausgeberIn), Bonchi, Francesco (HerausgeberIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: Cham Springer 2023
Schriftenreihe:Lecture notes in computer science 14173
Schlagworte:
Artificial intelligence > Bildverarbeitung > COMPUTERS / Artificial Intelligence > COMPUTERS / Computer Vision & Pattern Recognition > COMPUTERS / Networking / General > COMPUTERS / Programming / Software Development > COMPUTERS / Social Aspects / Human-Computer Interaction > Computer networking & communications > Computer vision > Computerhardware > Information technology: general issues > Informationstechnik (IT), allgemeine Themen > Künstliche Intelligenz > Software Engineering > Konferenzschrift
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Inhaltsverzeichnis
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Titel Jahr Verfasser
DualMatch: Robust Semi-supervised Learning with Dual-Level Interaction 2023 Wang, Cong
Online Deep Hybrid Ensemble Learning for Time Series Forecasting 2023 Saadallah, Amal
Match-And-Deform: Time Series Domain Adaptation Through Optimal Transport and Temporal Alignment 2023 Painblanc, Francois
Bi-tuning: Efficient Transfer from Pre-trained Models 2023 Zhong, Jincheng
Click-Aware Structure Transfer with Sample Weight Assignment for Post-Click Conversion Rate Estimation 2023 Ouyang, Kai
Constrained-HIDA: Heterogeneous Image Domain Adaptation Guided by Constraints 2023 Obrenovi¢, Mihailo
Exploring and Exploiting Data-Free Model Stealing 2023 Hong, Chi
Exploring the Training Robustness of Distributional Reinforcement Learning Against Noisy State Observations 2023 Sun, Ke
Robust Classification of High-Dimensional Data Using Data-Adaptive Energy Distance 2023 Choudhury, Jyotishka Ray
Estimating Dynamic Time Warping Distance Between Time Series with Missing Data 2023 Yurtman, Aras
Generality-Training of a Classifier for Improved Calibration in Unseen Contexts 2023 Leelar, Bhawani Shankar
CAENet: Efficient Multi-task Learning for Joint Semantic Segmentation and Depth Estimation 2023 Wang, Luxi
Informed Priors for Knowledge Integration in Trajectory Prediction 2023 Schlauch, Christian
Overcoming the Limitations of Localization Uncertainty: Efficient and Exact Non-linear Post-processing and Calibration 2023 Sbeyti, Moussa Kassem
Label Shift Quantification with Robustness Guarantees via Distribution Feature Matching 2023 Dussap, Bastien
Uncovering Multivariate Structural Dependency for Analyzing Irregularly Sampled Time Series 2023 Wang, Zhen
Efficient Adaptive Spatial-Temporal Attention Network for Traffic Flow Forecasting 2023 Su, Hongyang
Weighted Multivariate Mean Reversion for Online Portfolio Selection 2023 Wu, Bogian
Overcoming Catastrophic Forgetting for Fine-Tuning Pre-trained GANs 2023 Zhang, Zeren
Unsupervised Domain Adaptation via Bidirectional Cross-Attention Transformer 2023 Wang, Xiyu
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