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Papers matching “batch effects” 11

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The Impact of Digital Histopathology Batch Effect on Deep Learning Model Accuracy and Bias
2020 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science AI in cancer detection Open access

Frederick Matthew Howard, James M. Dolezal, Sara E. Kochanny, Jefree J. Schulte, Heather Chen, Lara Rosaline Heij, +7 more

25

citations
Hidden Variables in Deep Learning Digital Pathology and Their Potential to Cause Batch Effects: Prediction Model Study (Preprint)
2020 preprint Computer Science AI in cancer detection Open access

Max Schmitt, Roman Christoph Maron, Achim Hekler, Albrecht Stenzinger, Axel Hauschild, Michael Weichenthal, +11 more

0

citations
The Unreasonable Effectiveness of the Final Batch Normalization Layer
2021 arXiv (Cornell University) preprint Computer Science Imbalanced Data Classification Techniques Open access

Veysel Kocaman, Ofer M. Shir, Thomas Baeck

1

citations
Multicenter self-supervised computational pathology identifies prognostic histomorphological phenotypes in colorectal cancer
2026 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science AI in cancer detection Open access

Floor Heilijgers, Hortense Le, Nicolas Coudray, Afreen Karimkhan, Derek Chen, Koen C.M.J. Peeters, +3 more

0

citations
Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNs
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Michael Scholkemper, Xinyi Wu, Ali Jadbabaie, Michael T. Schaub

1

citations
Bayesian calibration, process modeling and uncertainty quantification in biotechnology
2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Laura M. Helleckes, Michael Osthege, Wolfgang Wiechert, Eric von Lieres, Marco Oldiges

4

citations
Curriculum Approximate Unlearning for Session-based Recommendation
2025 arXiv (Cornell University) preprint Computer Science Recommender Systems and Techniques Open access

Zhaochun Ren, Pengjie Ren, Zhumin Chen, Xinyi Li, Maarten de Rijke

0

citations
DrugEx v2: De Novo Design of Drug Molecule by Pareto-based Multi-Objective Reinforcement Learning in Polypharmacology
2021 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Xuhan Liu, Kai Ye, Herman van Vlijmen, Michael Emmerich, Adriaan P. IJzerman, Gerard J. P. van Westen

1

citations
DrugEx v2: De Novo Design of Drug Molecule by Pareto-based Multi-Objective Reinforcement Learning in Polypharmacology
2021 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Xuhan Liu, Herman van Vlijmen, Michael Emmerich, Adriaan P. IJzerman, Gerard J. P. van Westen

1

citations
DrugEx v2: De Novo Design of Drug Molecule by Pareto-based Multi-Objective Reinforcement Learning in Polypharmacology
2021 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Xuhan Liu, Herman van Vlijmen, Michael Emmerich, Adriaan P. IJzerman, Gerard J. P. van Westen

0

citations
Prompt replay: speeding up grpo with on-policy reuse of high-signal prompts
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Andrei Baroian, Rutger Berger

0

citations

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