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Papers matching “learning needs” 178

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Less is More: A Call to Focus on Simpler Models in Genetic Programming for Interpretable Machine Learning
2022 arXiv (Cornell University) preprint Computer Science Evolutionary Algorithms and Applications Open access

Marco Virgolin, Eric Medvet, Tanja Alderliesten, Peter A. N. Bosman

3

citations
Validation of the Incremental Prognostic Value of Deceased Donation Pre-implantation Kidney Transplant Biopsies through Comprehensive Lesion Quantification with Deep Learning
2026 medRxiv preprint Medicine Renal Transplantation Outcomes and Treatments Open access

Ziyang Li, Giorgio Buzzanca, Danny van der Helm, Soufian Meziyerh, Ian P.J. Alwayn, Dorottya K. de Vries, +3 more

0

citations
Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning
2024 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Jörn Tebbe, Christoph Zimmer, Ansgar Steland, Markus Lange‐Hegermann, Fabian Mies

0

citations
Multi-Objective Learning to Predict Pareto Fronts Using Hypervolume Maximization
2021 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Timo M. Deist, Monika Grewal, Frank J. W. M. Dankers, Tanja Alderliesten, Peter A. N. Bosman

3

citations
About the Trustworthiness of Physics-Based Machine Learning – A Considerations for Geomechanical Applications
2024 preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Denise Degen, Moritz Ziegler, Oliver Heidbach, Andreas Henk, Karsten Reiter, Florian Wellmann

1

citations
Docking-informed machine learning for kinome wide affinity prediction
2024 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Jordy Schifferstein, Andrius Bernatavicius, Antonius P. A. Janssen

1

citations
Data-Driven Qubit Characterization and Optimal Control using Deep Learning
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Paul Surrey, Julian D. Teske, Tobias Hangleiter, Hendrik Bluhm, Pascal Cerfontaine

0

citations
Data-Driven Qubit Characterization and Optimal Control using Deep Learning
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Paul Surrey, Julian D. Teske, Tobias Hangleiter, Hendrik Bluhm, Pascal Cerfontaine

0

citations
Intervertebral Disc Labeling With Learning Shape Information, A Look Once Approach
2022 arXiv (Cornell University) preprint Engineering Medical Imaging and Analysis Open access

Reza Azad, Moein Heidari, Julien Cohen‐Adad, Ehsan Adeli, Dorit Merhof

0

citations
A Machine Learning Algorithm for Detecting Abnormal Patterns in Continuous Capnography and Pulse Oximetry Monitoring
2023 Research Square preprint Medicine Healthcare Technology and Patient Monitoring Open access

Feline L. Spijkerboer, Frank J. Overdyk, Albert Dahan

0

citations
Deep learning-based auto-segmentation of paraganglioma for growth monitoring
2024 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

E. M. C. Sijben, Jeroen C. Jansen, Mischa de Ridder, Peter A. N. Bosman, Tanja Alderliesten

0

citations
MxlPy - Python Package for Mechanistic Learning in Life Science
2025 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access

Marvin van Aalst, Tim Nies, Tobias Pfennig, Anna Matuszyńska

0

citations
Large Language Models: The Need for Nuance in Current Debates and a Pragmatic Perspective on Understanding
2023 arXiv (Cornell University) preprint Arts and Humanities Cybernetics and Technology in Society Open access

Bram M. A. van Dijk, Tom Kouwenhoven, Marco René Spruit, Max J. van Duijn

7

citations
What can we learn about tropospheric OH from satellite observations of methane?
2024 preprint Environmental Science Atmospheric and Environmental Gas Dynamics Open access

Elise Penn, Daniel J Jacob, Zichong Chen, James D. East, Melissa Payer Sulprizio, Lori Bruhwiler, +5 more

0

citations
Digital Health Training Programs for Medical Students: Scoping Review (Preprint)
2021 preprint Medicine Innovations in Medical Education Open access

Lorainne Tudor Car, Bhone Myint Kyaw, Rishi S. Nannan Panday, Rianne van der Kleij, Niels Henrik Chavannes, Azeem Majeed, +1 more

0

citations
Graph Neural Networks for Prediction of Fuel Ignition Quality
2020 ChemRxiv preprint Materials Science Machine Learning in Materials Science Open access

Artur M. Schweidtmann, Jan G. Rittig, Andrea Anna König, Martin Grohe, Alexander Mitsos, Manuel Dahmen

1

citations
Lifelong Computing
2021 arXiv (Cornell University) preprint Computer Science Advanced Software Engineering Methodologies Open access

Danny Weyns, Thomas Bäck, René Vidal, Xin Yao, Ahmed Nabil Belbachir

0

citations
Quantifying the Value of Privileged Information Using a PAC-Bayesian Approach
2026 arXiv (Cornell University) preprint Computer Science Machine Learning and Algorithms Open access

Sebastian Schmitt, Vedran Dunjko, Hao Wang

0

citations
Building a Digital Health Twin for Personalized Intervention: The EPI Project
2020 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

40

citations
When AI Bends Metal: AI-Assisted Optimization of Design Parameters in Sheet Metal Forming
2025 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Ahmad Tarraf, Koutaiba El Rifai Kassem-Manthey, Philipp Martin, Lukas Moj, Semih Burak, Christian Terboven, +1 more

1

citations
MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Yougang Lyu, Lingyong Yan, Zihan Wang, Dawei Yin, Pengjie Ren, Maarten de Rijke, +1 more

0

citations
Towards a Physics Foundation Model
2025 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Florian Wiesner

2

citations
mcBERT: Patient-Level Single-cell Transcriptomics Data Representation
2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access

Benedikt von Querfurth, Johannes Lohmöller, Jan Pennekamp, Tore Bleckwehl, Rafael Kramann, Klaus Wehrle, +1 more

3

citations
Fast and robust Bayesian Inference using Gaussian Processes with GPry
2022 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Jonas El Gammal, Nils Schöneberg, Jesús Torrado, Christian Fidler

1

citations
Continuous Episodic Control
2022 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Yang Zhao, Thomas M. Moerland, Mike Preuß, Aske Plaat

0

citations