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Papers matching “training data generation” 263

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3D bridge segmentation using semi-supervised domain adaptation
2025 Automation in Construction article Computer Science Domain Adaptation and Few-Shot Learning Open access

Maximilian Kellner, Timothy König, Jan‐Iwo Jäkel, Katharina Klemt‐Albert, Alexander Reiterer

12

citations
Translationale Modellierung der Wirksamkeit von Medikamenten in Krebspatienten
2020 RWTH Publications (RWTH Aachen) dissertation Computer Science Computational Drug Discovery Methods Open access

Lisa-Katrin Schätzle

0

citations
Generating diverse and discriminatory knapsack instances by searching for novelty in variable dimensions of feature-space
2023 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Evolutionary Algorithms and Applications Open access

Alejandro Marrero, Eduardo Segredo, Emma Hart, Jakob Bossek, Aneta Neumann

6

citations
Fusenet: Self-Supervised Dual-Path Network For Medical Image Segmentation
2024 IEEE International Symposium on Biomedical Imaging (ISBI) conference-paper Computer Science Medical Image Segmentation Techniques

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

4

citations
Uncovering Selective State Space Model's Capabilities in Lifelong Sequential Recommendation
2024 arXiv (Cornell University) preprint Computer Science Recommender Systems and Techniques Open access

Ji-yuan YANG, Yuanzi Li, Jingyu Zhao, Hanbing Wang, Muyang Ma, Jun Ma, +5 more

2

citations
Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related Features
2023 conference-paper Computer Science Topic Modeling Open access

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

8

citations
Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations
2023 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Monika Grewal, Dustin van Weersel, Henrike G. Westerveld, Peter A. N. Bosman, Tanja Alderliesten

1

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
The Impact of Crowdsourcing Projects in the Digitisation Effort of European Herbaria
2025 Biodiversity Information Science and Standards article Computer Science Research Data Management Practices Open access

Giulia Micai, Wouter Addink, Anton Güntsch, Heimo Rainer

0

citations
Tackling stain variability using CycleGAN-based stain augmentation
2022 Journal of Pathology Informatics article Computer Science AI in cancer detection Open access

Nassim Bouteldja, David Laurin Hölscher, Roman David Bülow, Rosanna Coppo, Peter Boor

14

citations
Scalable, Explainable and Provably Robust Anomaly Detection with One-Step Flow Matching
2025 neural information processing systems conference-paper Computer Science Anomaly Detection Techniques and Applications Open access

Zhong Li, Qi Zhong Huang, Yuxuan Zhu, Lincen Yang, Mohammad Mohammadi Amiri, Bas van Stein, +1 more

1

citations
In-context learning enables multimodal large language models to classify cancer pathology images
2024 Nature Communications article Computer Science AI in cancer detection Open access

Dyke Ferber, Georg Wölflein, Isabella C. Wiest, Marta Ligero, Srividhya Sainath, Narmin Ghaffari Laleh, +5 more

156

citations
In-context learning enables multimodal large language models to classify cancer pathology images
2024 arXiv (Cornell University) preprint Computer Science AI in cancer detection Open access

Dyke Ferber, Georg Wölflein, Isabella C. Wiest, Marta Ligero, Srividhya Sainath, Narmin Ghaffari Laleh, +5 more

1

citations
Vessel Delineation Using U-Net: A Sparse Labeled Deep Learning Approach for Semantic Segmentation of Histological Images
2023 Cancers article Computer Science AI in cancer detection Open access

Lukas Glänzer, Husam E. Masalkhi, Anjali A. Roeth, Thomas Schmitz‐Rode, Ioana Slabu

9

citations
A Federated Framework for LLM-based Recommendation
2024 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Jujia Zhao, Wenjie Wang, Xu Chen, See-Kiong Ng, Tat‐Seng Chua

6

citations
A Step towards Interpretable Multimodal AI Models with MultiFIX
2025 Genetic and Evolutionary Computation Conference Companion (GECCO Companion) conference-paper Computer Science Explainable Artificial Intelligence (XAI) Open access

Mafalda Malafaia, Thalea Schlender, Tanja Alderliesten, Peter A. N. Bosman

0

citations
A Federated Framework for LLM-based Recommendation
2025 Findings of the Association for Computational Linguistics: NAACL conference-paper Computer Science Privacy-Preserving Technologies in Data Open access

Jujia Zhao, Wenjie Wang, Chongxin Xu, See-Kiong Ng, Tat‐Seng Chua

14

citations
Graph-Enhanced Prompt Learning for Cross-Domain Contract Element Extraction
2025 ACM Transactions on Information Systems article Computer Science Topic Modeling Open access

Zihan Wang, Hanbing Wang, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren

3

citations
Multi-fidelity graph neural networks for predicting toluene/water partition coefficients
2025 Journal of Cheminformatics article Computer Science Computational Drug Discovery Methods Open access

Thomas Nevolianis, Jan G. Rittig, Alexander Mitsos, Kai O. Leonhard

8

citations
Multi-fidelity graph neural networks for predicting toluene/water partition coefficients
2025 Journal of Cheminformatics article Computer Science Computational Drug Discovery Methods Open access

Thomas Nevolianis, Jan G. Rittig, Alexander Mitsos, Kai O. Leonhard

3

citations
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents
2023 arXiv (Cornell University) preprint Computer Science Information Retrieval and Search Behavior Open access

Weiwei Sun, Lingyong Yan, Xinyu Ma, Pengjie Ren, Dawei Yin, Zhaochun Ren

24

citations
Smooth Kolmogorov Arnold networks enabling structural knowledge representation
2024 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Moein E. Samadi, Younes Müller, Andreas Schuppert

14

citations
Future Computer Systems and Networking Research in the Netherlands: A Manifesto
2022 arXiv (Cornell University) preprint Computer Science Distributed and Parallel Computing Systems Open access

Alexandru Iosup, Fernando A. Kuipers, Ana Lucia Vărbănescu, Paola Grosso, Animesh Trivedi, Jan S. Rellermeyer, +3 more

1

citations
Transfer Learning Gaussian Anomaly Detection by Fine-tuning Representations
2022 conference-paper Computer Science Anomaly Detection Techniques and Applications Open access cited by 1 patent

Oliver Rippel, Arnav Chavan, Chucai Lei, Dorit Merhof

16

citations
Reducing manual workload in CT and MRI annotation with the Segment Anything Model 2
2026 BMC Medical Imaging article Computer Science Medical Image Segmentation Techniques Open access

Leo Misera, Sven Nebelung, Zunamys Itzell Carrero, Keno K. Bressem, Marta Ligero, Jens‐Peter Kühn, +3 more

1

citations