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Papers matching “group performance” 27

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Who is the perfect match? Effects of algorithmic learning group formation using personality traits
2023 preprint Computer Science Intelligent Tutoring Systems and Adaptive Learning Open access

Henrik Bellhäuser, Johannes Konert, Adrienne Müller, René Röpke

3

citations
First Experiences in Performance Benchmarking with the New SPEChpc 2021 Suites
2022 arXiv (Cornell University) preprint Computer Science Parallel Computing and Optimization Techniques Open access

Holger Brunst, Sunita Chandrasekaran, Florina M. Ciorba, Nick Hagerty, Robert Henschel, Guido Juckeland, +4 more

2

citations
High-performance cellular automaton decoders for quantum repetition and toric code
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Don Winter, Thiago L. M. Guedes, Markus Michael Müller

0

citations
Bridging HPC Communities through the Julia Programming Language
2022 arXiv (Cornell University) preprint Computer Science Parallel Computing and Optimization Techniques Open access

Valentin Churavy, William F. Godoy, Carsten Bauer, Hendrik Ranocha, Michael Schlottke‐Lakemper, Ludovic Räss, +6 more

18

citations
(Psycho-)Linguistic Features Meet Transformer Models for Improved Explainable and Controllable Text Simplification
2022 arXiv (Cornell University) preprint Computer Science Text Readability and Simplification Open access

Yu Qiao, Xiaofei Li, Daniel Wiechmann, Elma Kerz

1

citations
Robust, credible, and interpretable AI-based histopathological prostate cancer grading
2024 medRxiv preprint Computer Science AI in cancer detection Open access

Fabian Westhaeusser, Patrick Fuhlert, Esther Dietrich, Maximilian Lennartz, Robin Khatri, Nico Kaiser, +20 more

1

citations
Reinforcement Learning with Verifiable Rewards for Small Search Agents
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Gaurisankar Jayadas, Aske Plaat, Álvaro Serra-Gómez, Sandheep P

0

citations
Learning from Algorithm Feedback: One-Shot SAT Solver Guidance with GNNs
2025 arXiv (Cornell University) preprint Computer Science Constraint Satisfaction and Optimization Open access

Jan Tönshoff, Martin Grohe

0

citations
Token-Level Credit Assignment Optimization for Generative Document Retrieval
2026 arXiv (Cornell University) preprint Computer Science Information Retrieval and Search Behavior Open access

Xinpeng Zhao, Ran Chen, Xinyu Ma, Daiting Shi, Pengjie Ren, Zhumin Chen, +2 more

0

citations
A Digitally Competent Health Workforce: Scoping Review of Educational Frameworks (Preprint)
2020 preprint Computer Science Digital literacy in education

Nuraini Nazeha, Deepali Pavagadhi, Bhone Myint Kyaw, Josip Car, Gerónimo Jiménez, Lorainne Tudor Car

1

citations
UGainS: Uncertainty Guided Anomaly Instance Segmentation
2023 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Alexander Hermans, Lars Kuhnert, Bastian Leibe

0

citations
A Comparative Evaluation of Quantification Methods
2021 arXiv (Cornell University) preprint Computer Science Machine Learning and Data Classification Open access

Tobias Schumacher, Markus Strohmaier, Florian Lemmerich

4

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
plantR: An R package and workflow for managing species records from biological collections
2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Research Data Management Practices Open access

Renato A. Ferreira de Lima, Andrea Sánchez‐Tapia, Sara Ribeiro Mortara, Hans ter Steege, Marinez Ferreira de Siqueira

10

citations
Fitness-based Linkage Learning and Maximum-Clique Conditional Linkage Modelling for Gray-box Optimization with RV-GOMEA
2024 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Georgios Andreadis, Tanja Alderliesten, Peter A. N. Bosman

1

citations
Knowledge Graphs and Explainable AI for Drug Repurposing on Rare Diseases
2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Computational Drug Discovery Methods Open access

Pablo Perdomo-Quinteiro, Katherine Wolstencroft, Marco Roos, Núria Queralt-Rosiñach

7

citations
Simulating quantum error mitigation in fermionic encodings
2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Riley W. Chien, Kanav Setia, Xavier Bonet-Monroig, Mark Steudtner, James Daniel Whitfield

5

citations
Validation of a deep learning model for automatic segmentation of skeletal muscle and adipose tissue on L3 abdominal CT images
2023 medRxiv preprint Computer Science Medical Image Segmentation Techniques Open access

David P.J. van Dijk, Leroy Volmer, Ralph Brecheisen, Ross Dean Dolan, Adam S. Bryce, David Kuang-Fu Chang, +7 more

5

citations
Diagnosing Temporal Misalignment in Multichannel Time-Series Classification with Minimum Description Length
2026 arXiv (Cornell University) preprint Computer Science Time Series Analysis and Forecasting Open access

Sebastian Buschjäger, Michael Frichert, Daniel Kuhse, Jian-Jia Chen

0

citations
MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning
2024 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Pengjie Ren, Chengshun Shi, Shiguang Wu, Mengqi Zhang, Zhaochun Ren, Maarten de Rijke, +2 more

0

citations
Clustering and novel class recognition: evaluating bioacoustic deep learning feature extractors
2025 arXiv (Cornell University) preprint Computer Science Music and Audio Processing Open access

Vincent S. Kather, Burooj Ghani, Dan Stowell

1

citations
The future of artificial intelligence in digital pathology - results of a survey across stakeholder groups
2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science AI in cancer detection Open access

Céline N. Heinz, Amelie Echle, Sebastian Foersch, Andrey Bychkov, Jakob Nikolas Kather

1

citations
Faster optimal univariate microgaggregation
2024 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Felix I. Stamm, Michael T. Schaub

0

citations
Self-supervised Semantic Segmentation: Consistency over Transformation
2023 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Yury Velichko, Ulaş Bağcı, Dorit Merhof

0

citations
Equating quantum imaginary time evolution, Riemannian gradient flows, and stochastic implementations
2025 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Nathan A. McMahon, Mahum Pervez, Christian Arenz

0

citations