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Papers matching “ensemble methods” 39

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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
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
A reduced basis ensemble Kalman method
2023 GEM - International Journal on Geomathematics article Physics and Astronomy Model Reduction and Neural Networks Open access

Francesco A. B. Silva, Cecilia Pagliantini, Martin Grepl, Karen Veroy

9

citations
DGEKT: A Dual Graph Ensemble Learning Method for Knowledge Tracing
2023 ACM Transactions on Information Systems article Computer Science Intelligent Tutoring Systems and Adaptive Learning Open access cited by 1 patent

Chaoran Cui, Yumo Yao, Chunyun Zhang, Hebo Ma, Zhaochun Ren, James Ko

98

citations
Filtering Methods for Coupled Inverse Problems
2023 SIAM Journal on Applied Dynamical Systems article Computer Science Target Tracking and Data Fusion in Sensor Networks Open access

Michaël Herty, Elisa Iacomini

2

citations
Artifact: One IDS is not Enough! Exploring Ensemble Learning for Industrial Intrusion Detection
2023 Zenodo (CERN European Organization for Nuclear Research) conference-paper Computer Science Network Security and Intrusion Detection Open access

Konrad Wolsing, Dominik Kus, Eric Wagner, Jan Pennekamp, Martin Henze

1

citations
Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML
2023 arXiv (Cornell University) preprint Computer Science Machine Learning and Data Classification Open access

Lennart Purucker, Lennart Schneider, Marie Anastacio, Joeran Beel, Bernd Bischl, Holger H. Hoos

1

citations
Neighbouring time ensemble Kalman filter (NTEnKF) data assimilation for dust storm forecasting
2023 preprint Earth and Planetary Sciences Meteorological Phenomena and Simulations Open access

Mijie Pang, Jianbing Jin, Arjo J. Segers, Huiya Jiang, Wei Han, Ji Xia, +4 more

0

citations
A gridded air quality forecast through fusing site-available machine learning predictions from RFSML v1.0 and chemical transport model results from GEOS-Chem v13.1.0 using the ensemble Kalman filter
2023 Geoscientific model development article Environmental Science Air Quality Monitoring and Forecasting Open access

Jianbing Jin, Arjo J. Segers, Hong Liao, Ke Li, Bufan Xu, Wei Han, +2 more

14

citations
A Data-Driven Two-Phase Multi-Split Causal Ensemble Model for Time Series
2023 Symmetry article Computer Science Bayesian Modeling and Causal Inference Open access

Zhipeng Ma, Marco Kemmerling, Daniel Buschmann, Chrismarie Enslin, Daniel Lütticke, Robert Heinrich Schmitt

7

citations
Reservoir operations under uncertainty with moving-horizon approach and ensemble forecast optimization
2023 Journal of Applied Water Engineering and Research article Engineering Water resources management and optimization Open access

Bernhard Becker, Jiyoung Kim, Elena Pummer

8

citations
Continuous Sweep for Binary Quantification Learning
2023 arXiv (Cornell University) preprint Computer Science Imbalanced Data Classification Techniques Open access

Kevin Kloos, Julian David Karch, Quinten Meertens, Mark de Rooij

0

citations
Comment on gmd-2022-301
2023 peer-review Environmental Science Air Quality Monitoring and Forecasting Open access

Jianbing Jin, Arjo J. Segers, Ke Li, Bufan Xu, Wei Han, Mijie Pang, +2 more

0

citations
Comment on gmd-2022-301
2023 peer-review Environmental Science Air Quality Monitoring and Forecasting Open access

Jianbing Jin, Arjo J. Segers, Ke Li, Bufan Xu, Wei Han, Mijie Pang, +2 more

0

citations
EnKF-based fusion of site-available machine learning air quality predictions from RFSML v1.0 and gridded chemical transport model forecasts from GEOS-Chem v13.1.0
2023 preprint Environmental Science Air Quality Monitoring and Forecasting Open access

Jianbing Jin, Arjo J. Segers, Ke Li, Bufan Xu, Wei Han, Mijie Pang, +2 more

0

citations
Proteochemometric Modeling Identifies Chemically Diverse Norepinephrine Transporter Inhibitors
2023 Journal of Chemical Information and Modeling article Computer Science Computational Drug Discovery Methods Open access

Brandon J. Bongers, Hubert J. Sijben, Peter B. R. Hartog, Andrey Tarnovskiy, Adriaan P. IJzerman, Laura H. Heitman, +1 more

8

citations
Report from the 68th GMDS Annual Meeting: Science. Close to People
2023 Methods of Information in Medicine article Health Professions Electronic Health Records Systems

Jonas Bienzeisler, Ariadna Pérez Garriga, Lea C. Brandl, Ann-Kristin Kock-Schoppenhauer, Yasmin Hollenbenders, Maximilian Kurscheidt, +1 more

0

citations
Molecular Mechanics of Disordered Solids
2023 Archives of Computational Methods in Engineering article Materials Science Microstructure and mechanical properties Open access

Franz Bamer, Firaz Ebrahem, Bernd A. Markert, Benjamin Stamm

25

citations
P T -symmetric, non-Hermitian quantum many-body physics—a methodological perspective
2023 Reports on Progress in Physics article Physics and Astronomy Quantum Mechanics and Non-Hermitian Physics Open access

V. Meden, Lukas Grunwald, Dante Marvin Kennes

36

citations
Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control
2023 IEEE International Conference on Intelligent Transportation Systems (ITSC) conference-paper Computer Science Reinforcement Learning in Robotics

Bernd Frauenknecht, Tobias Ehlgen, Sebastian Trimpe

3

citations
Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control
2023 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Bernd Frauenknecht, Tobias Ehlgen, Sebastian Trimpe

0

citations
Generating diverse and discriminatory knapsack instances by searching for novelty in variable dimensions of feature-space
2023 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Evolutionary Algorithms and Applications Open access

Alejandro Marrero, Eduardo Segredo, Emma Hart, Jakob Bossek, Aneta Neumann

6

citations
AutoSourceID-FeatureExtractor
2023 Astronomy and Astrophysics article Engineering Astronomical Observations and Instrumentation Open access

Fiorenzo Stoppa, Paul M. Vreeswijk, Saptashwa Bhattacharyya, S. Caron, S. Bloemen, Gabrijela Zaharijaš, +5 more

5

citations
Report on Landsat 8 and Sentinel-2B observations of the Nord Stream 2 pipeline methane leak
2023 preprint Environmental Science Atmospheric and Environmental Gas Dynamics Open access

Matthieu Dogniaux, Joannes D. Maasakkers, Daniel J. Varon, Ilse Aben

2

citations
AutoSourceID-FeatureExtractor. Optical image analysis using a two-step mean variance estimation network for feature estimation and uncertainty characterisation
2023 arXiv (Cornell University) preprint Engineering Astronomical Observations and Instrumentation Open access

Fiorenzo Stoppa, Paul M. Vreeswijk, Saptashwa Bhattacharyya, S. Caron, S. Bloemen, Gabrijela Zaharijaš, +5 more

2

citations