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Papers matching “training data” 3,600

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Sequential EXtreme Gradient Boosting-Based Descriptor Reduction for Size Prediction of Zwitterionic Polymer-Based Nanoparticles
2025 ACS Omega article Materials Science Machine Learning in Materials Science Open access

Sima Rezvantalab, Sara Mihandoost, Roger M. Pallares, Fabian M. Kiessling

1

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

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
Towards time-independent electrical impedance tomography reconstruction
2025 RWTH Publications (RWTH Aachen) dissertation Engineering Electrical and Bioimpedance Tomography Open access

Jöran Rixen

0

citations
Advancing NATO CIMIC analysis and assessment capability: insights from tactical and strategic level exercises
2025 Leiden Repository (Leiden University) article Social Sciences Military and Defense Studies Open access

E. De Martin, S. Narain, S. D'Amato

0

citations
A Systematic Review of CBM Content in Practitioner-Focused Journals: Do We Talk About Instructional Decision-Making?
2023 preprint Psychology Behavioral and Psychological Studies Open access

Jessica R. Toste, Beth R. Feuer, Christine A. Espin

0

citations
Application of Transfer Learning for Detecting Fiber Orientations in Images of Fiber Reinforced Plastics
2022 Materials science forum article Engineering Industrial Vision Systems and Defect Detection Open access

Hans Aoyang Zhou, Florian Brillowski, Christoph Greb, Daniel Lütticke

0

citations
Comment on gmd-2022-2
2022 peer-review Environmental Science Air Quality Monitoring and Forecasting Open access

Clara Betancourt, Timo T. Stomberg, Ann-Kathrin Edrich, Ankit Patnala, Martin G. Schultz, Ribana Roscher, +2 more

0

citations
Comment on gmd-2022-2
2022 peer-review Environmental Science Air Quality Monitoring and Forecasting Open access

Clara Betancourt, Timo T. Stomberg, Ann-Kathrin Edrich, Ankit Patnala, Martin G. Schultz, Ribana Roscher, +2 more

0

citations
Comment on gmd-2022-2
2022 peer-review Environmental Science Air Quality Monitoring and Forecasting Open access

Clara Betancourt, Timo T. Stomberg, Ann-Kathrin Edrich, Ankit Patnala, Martin G. Schultz, Ribana Roscher, +2 more

0

citations
Patient Privacy Protecting Physics Informed Neural Network for Cardiovascular Monitoring
2023 IEEE Biomedical Circuits and Systems Conference (BioCAS) conference-paper Physics and Astronomy Model Reduction and Neural Networks

Hin Wai Lui, Eric M. Gallo, Emre Neftci

0

citations
Quantum Boltzmann Machines: Applications in Quantitative Finance
2023 RePEc: Research Papers in Economics preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Cameron Perot

0

citations
The case for open science: rare diseases
2020 JAMIA Open article Computer Science Research Data Management Practices Open access

Yaffa Rubinstein, Peter N. Robinson, William Allen Gahl, Paul Avillach, Gareth S Baynam, Helene Cederroth, +19 more

63

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

44

citations
FULTR: A Large-Scale Fusion Learning to Rank Dataset and Its Application for Satisfaction-Oriented Ranking
2025 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) conference-paper Computer Science Information Retrieval and Search Behavior Open access

Yuchen Li, Hengyi Cai, Xinyu Ma, Shuaiqiang Wang, Haoyi Xiong, Zhaochun Ren, +2 more

3

citations
Named Entity Recognition for Chinese biomedical patents
2020 International Conference on Computational Linguistics conference-paper Biochemistry, Genetics and Molecular Biology Biomedical Text Mining and Ontologies Open access

Yuting Hu, Suzan Verberne

21

citations
Longitudinal Vehicle Motion Prediction in Urban Settings With Traffic Light Interaction
2021 IEEE Transactions on Intelligent Vehicles article Engineering Autonomous Vehicle Technology and Safety

Marius Wegener, Lucas Koch, René Savelsberg, Jakob Andert

20

citations
A Rotational Invariant Neural Network for Electrical Impedance Tomography Imaging without Reference Voltage: RF-REIM-NET
2022 Diagnostics article Engineering Electrical and Bioimpedance Tomography Open access

Jöran Rixen, Benedikt Eliasson, Benjamin Hentze, Thomas Muders, Christian Putensen, Steffen K. Leonhardt, +1 more

7

citations
Learning to validate generative models: a goodness-of-fit approach
2026 Machine Learning Science and Technology article Physics and Astronomy Particle physics theoretical and experimental studies Open access

G. Grosso, Marco Letizia, Humberto Reyes-González, M. Zanetti

6

citations
Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine
2025 Energies article Engineering Advanced Control Systems Optimization Open access

Alexander Winkler, Pranav Shah, Katrin Baumgärtner, David C. Gordon, Jakob Andert

6

citations
CHEQ-ing the Box: Safe Variable Impedance Learning for Robotic Polishing
2025 IFAC-PapersOnLine article Computer Science Reinforcement Learning in Robotics Open access

Emma Cramer, Lukas Jäschke, Sebastian Trimpe

5

citations
Shallow neural networks to predict glass transition, crystallization and liquidus temperature of iron-based metallic glasses
2021 IOP Conference Series Materials Science and Engineering conference-paper Engineering Metallic Glasses and Amorphous Alloys Open access

Kirsten Bobzin, W. Wietheger, L. M. Johann

2

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
Application of a neural network for calculating the off-gas generation within an EAF under modified operating conditions
2025 Journal of Physics Conference Series conference-paper Materials Science Iron and Steelmaking Processes Open access

Alexander Reinicke, Lilly Amanda Schulte, Thomas Echterhof

1

citations
TransFuse: Advancing Frequent Flood Monitoring using Vision Transformers and Earth Observation
2025 EGU General Assembly Conference Abstracts conference-abstract Environmental Science Flood Risk Assessment and Management Open access

Antara Dasgupta, Paul Christian Hosch, Rakesh Sahu, Björn Waske

0

citations