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Samuel Bernardo-Bermejo, Jingchuan Xue, Linh Hoang, Elizabeth Billings, Bill Webb, M. Willy Honders, Sanne Venneker, Bram Heijs, Erik B. van den Akker, More Authors (2023), Quantitative multiple fragment monitoring with enhanced in-source fragmentation/annotation mass spectrometry, In Nature Protocols Volume 18 p.1296-1315.

Yun Zhang, Jeremy A. Miller, Jeongbin Park, Boudewijn P. Lelieveldt, Tamim Abdelaal, Oleh Dzyubachyk, Ed S. Lein, Richard H. Scheuermann, More Authors (2023), Reference-based cell type matching of in situ image-based spatial transcriptomics data on primary visual cortex of mouse brain, In Scientific Reports Volume 13.

Kim Van Den Houten, Mathijs De Weerdt, David M.J. Tax, Esteban Freydell, Eva Christoupoulou, Alessandro Nati (2023), Rolling-Horizon Simulation Optimization For A Multi-Objective Biomanufacturing Scheduling Problem, In Proceedings of the 2023 Winter Simulation Conference (WSC) p.1912-1923.

Marco Teixeira, Stephanie Pillay, Aysun Urhan, Thomas Abeel (2023), SHIP: identifying antimicrobial resistance gene transfer between plasmids, In Bioinformatics (Oxford, England) Volume 39.

Casper van Engelenburg, Seyran Khademi, Jan van Gemert (2023), SSIG: A Visually-Guided Graph Edit Distance for Floor Plan Similarity, In Proceedings - 2023 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2023 p.1565-1574.

Ojas Kishorkumar Shirekar, Anuj Singh, Hadi Jamali-Rad (2023), Self-Attention Message Passing for Contrastive Few-Shot Learning, Lisa O’Conner (Eds.), In Proceedings of the 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) p.5415-5425.

Ramin Ghorbani, Marcel J.T. Reinders, David M.J. Tax (2023), Self-Supervised PPG Representation Learning Shows High Inter-Subject Variability, In ICMLT 2023 - Proceedings of 2023 8th International Conference on Machine Learning Technologies p.127-132, Association for Computing Machinery (ACM).

S. Tan (2023), Sensing and Modeling Human Behaviors In Complex Conversational Scenes, PhD Thesis Delft University of Technology.

Paul van Lent, Joep Schmitz, Thomas Abeel (2023), Simulated Design-Build-Test-Learn Cycles for Consistent Comparison of Machine Learning Methods in Metabolic Engineering, In ACS Synthetic Biology Volume 12 p.2588-2599.