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Papers matching “sampling series” 28

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Enhanced automatic feature extraction in heterogeneous biomedical time series for optimization of clinical monitoring and diagnosis
2025 RWTH Publications (RWTH Aachen) dissertation Computer Science Time Series Analysis and Forecasting Open access

Pejman Farhadi Ghalati

0

citations
Increasing the resolution of solar and wind time series for energy system modeling: A review
2023 Renewable and Sustainable Energy Reviews article Computer Science Solar Radiation and Photovoltaics Open access

Olalekan Omoyele, Maximilian Hoffmann, Matti Koivisto, Miguel Larrañeta, Jann Michael Weinand, Jochen Linßen, +1 more

61

citations
Time series representations classroom (TSRC): a teacher-student-based framework for interpretability-enhanced unsupervised time series representation learning
2025 Machine Learning article Computer Science Time Series Analysis and Forecasting Open access

Wadie Skaf, Mitra Baratchi, Holger H. Hoos

0

citations
KernelMatmul: Scaling Gaussian Processes to Large Time Series
2025 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Gaussian Processes and Bayesian Inference Open access

Tilman Hoffbauer, Holger H. Hoos, Jakob Bossek

0

citations
Application of Functional Kernel Hypothesis Testing for Channel Selection in Time Series Classification
2023 IEEE Conference on Artificial Intelligence (CAI) conference-paper Computer Science Time Series Analysis and Forecasting Open access

Qi Huang, Thomas Bäck, Bas van Stein

0

citations
Concept-based AI interpretability in physiological time-series data: Example of abnormality detection in electroencephalography
2024 Computer Methods and Programs in Biomedicine article Computer Science Explainable Artificial Intelligence (XAI) Open access

Alexander Brenner, Felix Knispel, Florian P. Fischer, Peter Rossmanith, Yvonne G. Weber, Henner Koch, +3 more

13

citations
Efficient AutoML via Combinational Sampling
2021 IEEE Symposium Series on Computational Intelligence (SSCI) conference-paper Computer Science Machine Learning and Data Classification Open access

Duc Anh Nguyen, Anna V. Kononova, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck

3

citations
Sequential Outlier Detection in Nonstationary Time Series
2025 Journal of Time Series Analysis article Computer Science Anomaly Detection Techniques and Applications Open access

Florian Heinrichs, Patrick J. Bastian, Holger Dette

2

citations
Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift
2022 ACM International Conference on Multimedia (ACM MM) conference-paper Computer Science Domain Adaptation and Few-Shot Learning Open access cited by 1 patent

Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler

34

citations
Overparameterization and generalization error: weighted trigonometric interpolation
2020 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Yuege Xie, Hung-Hsu Chou, Holger Rauhut, Rachel Ward

0

citations
DQS: a low-budget query strategy for enhancing unsupervised data-driven anomaly detection approaches
2026 Journal Of Big Data article Computer Science Anomaly Detection Techniques and Applications Open access

Lucas Correia, Jan-Christoph Goos, Thomas Bäck, Anna V. Kononova

0

citations
Heisenberg-limited quantum phase estimation of multiple eigenvalues with few control qubits
2022 Quantum article Computer Science Quantum Computing Algorithms and Architecture Open access cited by 1 patent

Alicja Dutkiewicz, Barbara M. Terhal, Thomas E. O apos Brien

33

citations
Predicting Abnormalities in Laboratory Values of Patients in the Intensive Care Unit Using Different Deep Learning Models: Comparative Study
2022 JMIR Medical Informatics article Computer Science Machine Learning in Healthcare Open access

Ahmad Ayad, Ahmed Hallawa, Arne Peine, Lukas Märtin, Lejla Begic Fazlic, Guido Dartmann, +2 more

14

citations
Dataset Characteristics (Metafeatures)
2022 Cognitive technologies book-chapter Computer Science Machine Learning and Data Classification Open access

Pavel Brazdil, Jan N. van Rijn, Carlos Soares, Joaquin Vanschoren

6

citations
Long-Memory Reservoir Computing for Data-Scarce Dengue Forecasting
2026 arXiv (Cornell University) preprint Computer Science Neural Networks and Reservoir Computing Open access

Rahul Goswami, Shinjini Paul, Palash Ghosh, Tanujit Chakraborty

0

citations
Long timescale ensemble methods in molecular dynamics: Ligand-protein interactions and allostery in SARS-CoV-2 targets
2023 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Agastya P. Bhati, Art Hoti, Andrew Potterton, M. Bieniek, Peter V. Coveney

1

citations
Long timescale ensemble methods in molecular dynamics: Ligand-protein interactions and allostery in SARS-CoV-2 targets
2022 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Agastya P. Bhati, Art Hoti, Andrew Potterton, Peter V. Coveney

1

citations
Long timescale ensemble methods in molecular dynamics: Ligand-protein interactions and allostery in SARS-CoV-2 targets
2023 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Agastya P. Bhati, Art Hoti, Andrew Potterton, M. Bieniek, Peter V. Coveney

0

citations
Self-rated health trajectories: A dynamic time warp analysis
2021 Preventive Medicine Reports article Computer Science Time Series Analysis and Forecasting Open access

Brian M. Doornenbal, Renz Bakx

6

citations
Facilitating accessible, rapid, and appropriate processing of ancient metagenomic data with AMDirT
2024 F1000Research article Computer Science Research Data Management Practices Open access

Maxime Borry, Adrian Forsythe, Aida Andrades Valtueña, Alexander Hübner, Anan Ibrahim, Andrea Quagliariello, +34 more

8

citations
Facilitating accessible, rapid, and appropriate processing of ancient metagenomic data with AMDirT
2023 F1000Research article Computer Science Research Data Management Practices Open access

Maxime Borry, Adrian Forsythe, Aida Andrades Valtueña, Alexander Hübner, Anan Ibrahim, Andrea Quagliariello, +34 more

5

citations
Peer Review Report For: Facilitating accessible, rapid, and appropriate processing of ancient metagenomic data with AMDirT [version 2; peer review: 1 approved, 3 approved with reservations]
2024 peer-review Computer Science Research Data Management Practices Open access

Maxime Borry, Adrian Forsythe, Aida Andrades Valtueña, Alexander Hübner, Anan Ibrahim, Andrea Quagliariello, +34 more

0

citations
Peer Review Report For: Facilitating accessible, rapid, and appropriate processing of ancient metagenomic data with AMDirT [version 2; peer review: 1 approved, 3 approved with reservations]
2024 peer-review Computer Science Research Data Management Practices Open access

Maxime Borry, Adrian Forsythe, Aida Andrades Valtueña, Alexander Hübner, Anan Ibrahim, Andrea Quagliariello, +34 more

0

citations
Peer Review Report For: Facilitating accessible, rapid, and appropriate processing of ancient metagenomic data with AMDirT [version 1; peer review: 1 approved, 1 approved with reservations]
2023 peer-review Computer Science Research Data Management Practices Open access

Maxime Borry, Adrian Forsythe, Aida Andrades Valtueña, Alexander Hübner, Anan Ibrahim, Andrea Quagliariello, +34 more

0

citations
Spatiotemporal FLIP for Fast Free-Surface and Two-Phase Simulation With Very Large Time Steps
2026 ACM Transactions on Graphics article Computer Science Computer Graphics and Visualization Techniques Open access

Bernhard Braun, Rene Winchenbach, Jan Bender, Nils Thuerey

0

citations