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Papers matching “domain knowledge” 48

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Lifelong Person Re-Identification via Adaptive Knowledge Accumulation
2021 arXiv (Cornell University) preprint Computer Science Video Surveillance and Tracking Methods Open access

Nan Pu, Wei Ren Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew

9

citations
Knowledge representation of a multi-centre adolescent and young adult (AYA) cancer infrastructure; development of the STRONG AYA Knowledge Graph
2025 medRxiv preprint Computer Science Semantic Web and Ontologies Open access

Joshi Hogenboom, Varsha Gouthamchand, Charlotte Cairns, Silvie H. M. Janssen, Kirsty M. Way, Andre L.A.J. Dekker, +6 more

0

citations
Organizing Scientific Knowledge From Energy System Research Using the Open Research Knowledge Graph
2024 arXiv (Cornell University) preprint Computer Science Research Data Management Practices Open access

Oliver Karras, Jan Göpfert, Patrick Kuckertz, Tristan Pelser, Sören Auer

1

citations
KnowledgeBerg: Evaluating Systematic Knowledge Coverage and Compositional Reasoning in Large Language Models
2026 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Xiao Zhang, Qianru Meng, Yongjian Chen, Yumeng Wang, Johan Bos

0

citations
KnowledgeBerg: Evaluating Systematic Knowledge Coverage and Compositional Reasoning in Large Language Models
2026 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Xiao Zhang, Qianru Meng, Yongjian Chen, Yumeng Wang, Johan Bos

0

citations
Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms
2023 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Ana Kostovska, Diederick Vermetten, Sašo Džeroski, Panče Panov, Tome Eftimov, Carola Doerr

3

citations
QA2Explanation: Generating and Evaluating Explanations for Question Answering Systems over Knowledge Graph
2020 arXiv (Cornell University) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access

Saeedeh Shekarpour, Abhishek Nadgeri, Kuldeep Singh

2

citations
Task-Aware Prompt-Enhanced Knowledge Transfer for Open-World Continual Learning
2025 SSRN Electronic Journal preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Yujie Li, Han Shui Wu, Xiangkun Wang, Hao Wang, Marcello Bonsangue, Tianrui Li, +1 more

0

citations
Learning to Adapt SAM for Segmenting Cross-domain Point Clouds
2023 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Xidong Peng, Runnan Chen, Feng Qiao, Lingdong Kong, Youquan Liu, Tai Wang, +2 more

2

citations
Decidable Reasoning About Time in Finite-Domain Situation Calculus Theories
2024 arXiv (Cornell University) preprint Computer Science Logic, Reasoning, and Knowledge Open access

Till Hofmann, Stefan Schupp, Gerhard Lakemeyer

0

citations
FAIR Digital Objects for Science: From Data Pieces to Actionable Knowledge Units
2020 Preprints.org preprint Computer Science Research Data Management Practices Open access

Koenraad De Smedt, Dimitrios Koureas, Peter Wittenburg

12

citations
Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related Features
2023 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Zihan Wang, Ziqi Zhao, Zhumin Chen, Pengjie Ren, Maarten de Rijke, Zhaochun Ren

0

citations
On the Exploration of Incremental Learning for Fine-grained Image Retrieval
2020 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Wei Chen, Yu Liu, Weiping Wang, Tinne Tuytelaars, Erwin M. Bakker, Michael S. Lew

9

citations
Compression Beyond the Uncompressed: A Two-Stage Training Recipe for Soft Context Compression in RAG
2026 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Shuyu Guo, Shuo Zhang, Zhaochun Ren

0

citations
Joint Flashback Adaptation for Forgetting-Resistant Instruction Tuning
2025 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Yukun Zhao, Lingyong Yan, Zhenyang Li, Shuaiqiang Wang, Zhumin Chen, Zhaochun Ren, +1 more

0

citations
Ontology pre-training improves machine learning-based predictions for metabolites
2025 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Computational Drug Discovery Methods Open access

Charlotte Tumescheit, Martin Glauer, Simon Flügel, Martin F. Larralde, Fabian Neuhaus, Till Mossakowski, +1 more

0

citations
Generalization in birdsong classification: impact of transfer learning methods and dataset characteristics
2024 arXiv (Cornell University) preprint Computer Science Music and Audio Processing Open access

Burooj Ghani, Vincent J. Kalkman, Willem-Pier Vellinga, Lisa Gill, Dan Stowell

4

citations
Stable Tuple Embeddings for Dynamic Databases
2021 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Jan Toenshoff, Neta Friedman, Martin Grohe, Benny Kimelfeld

1

citations
Modeling Dislocation Dynamics Data Using Semantic Web Technologies
2023 arXiv (Cornell University) preprint Computer Science Semantic Web and Ontologies Open access

Ahmad Zainul Ihsan, Said Fathalla, Stefan Sandfeld

0

citations
Dynamic Database Embeddings with FoRWaRD
2021 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Jan Toenshoff, Neta Friedman, Martin Grohe, Benny Kimelfeld

0

citations
A Model-Based Approach to Impact Analysis Using Model Differencing
2024 arXiv (Cornell University) preprint Computer Science Model-Driven Software Engineering Techniques Open access

Bernhard Rumpe⋆

11

citations
Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects
2023 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Pratibha Kumari, Joohi Chauhan, Afshin Bozorgpour, Reza Azad, Dorit Merhof

2

citations
Transfer learning for predicting protein binding affinities of metal-organic inhibitors
2026 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Matthijs L. A. Hakkennes, Wojtek Treyde, Francesco Buda, Sylvestre A. Bonnet, Fernanda Duarte

0

citations
Vision-Language Models as Zero-Annotation Oracles in Histopathology
2026 arXiv (Cornell University) preprint Computer Science AI in cancer detection Open access

Vishal Jain, Giorgio Buzzanca, Sarah Cechnicka, Maarten Naesens, Priyanka Joseph Koshy, Tri Nguyen, +3 more

0

citations
From Hybrid Mechanistic--Data-Driven Modeling Toward Neuro-Symbolic AI: What, Why, and How
2026 arXiv (Cornell University) preprint Computer Science Logic, Reasoning, and Knowledge Open access

Moein E. Samadi, Andreas Schuppert

0

citations