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Papers matching “model learning” 1,630

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Integrating CT into Biology
2022 conference-paper Computer Science Teaching and Learning Programming Open access

Jacqueline Nijenhuis-Voogt, Sabiha Yeni, Erik Barendsen

0

citations
Atomic Visual Entailment: Enhancing Zero-Shot Vision-Language Reasoning through Atomic Fact Decomposition and Learned Selection
2026 arXiv (Cornell University) preprint Computer Science Multimodal Machine Learning Applications Open access

Nallathambi Vethiappan, Derya Soydaner, Gijs Wijnholds

0

citations
Coreset Selection With K-CREST: Evaluation of a Sustainable Approach on Remote Sensing Data
2026 IEEE Access article Computer Science Machine Learning and Data Classification Open access

Samy Hashim, Ehsan Zandi, Rocco Sedona, Shirin Salehi, Anke Schmeink, Morris Riedel, +1 more

0

citations
Quantitative and temporal approach to utilising electronic medical records from general practices in mental health prediction
2020 Computers in Biology and Medicine article Computer Science Machine Learning in Healthcare Open access

Olga Półchłopek, Nynke R. Koning, Frederike L. Büchner, Mathilde R. Crone, Mattijs Everard Numans, Mark Hoogendoorn

17

citations
Local policy search with Bayesian optimization
2021 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Sarah Müller, Alexander von Rohr, Sebastian Trimpe

17

citations
Discovering emergent connections in quantum physics research via dynamic word embeddings
2025 Machine Learning Science and Technology article Computer Science Topic Modeling Open access

Felix Frohnert, Xuemei Gu, Mario Krenn, Evert van Nieuwenburg

5

citations
Medical transformer for multimodal survival prediction in intensive care: integration of imaging and non-imaging data
2023 Scientific Reports article Computer Science Machine Learning in Healthcare Open access

Firas Khader, Jakob Nikolas Kather, Gustav Anton Müller‐Franzes, Tianci Wang, Tianyu Han, Soroosh Tayebi Arasteh, +7 more

60

citations
Natural Language Processing Methods to Identify Oncology Patients at High Risk for Acute Care with Clinical Notes
2022 arXiv (Cornell University) preprint Computer Science Machine Learning in Healthcare Open access

Claudio Fanconi, Marieke Meija van Buchem, Tina Hernandez‐Boussard

7

citations
Towards expert-level AI-based classification of coronary angiography reports: a comparison of LLM approaches
2025 European Heart Journal article Computer Science Machine Learning in Healthcare

Wouter P M van der Loo, Viktor van der Valk, T. van den Broek, Douwe E. Atsma, Marius Staring, R.W.C. Scherptong

0

citations
Adversarial Genomic Sequences Could Evade Biosecurity Screening
2026 IEEE Security and Privacy Workshops (SPW) conference-paper Computer Science Adversarial Robustness in Machine Learning Open access

Jeyashree Krishnan, Ajay Mandyam Rangarajan, Andrea Loehr, Jason Hoelscher-Obermaier

0

citations
Beyond Refusal Patterns: Safe-Role Internalization for Robust and Generalizable LLM Safety Alignment
2026 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access

Jinghao Pang, Jitai Hao, Qiang Huang, Zhaochun Ren, Jun Yu

0

citations
Integrating CT into economics: Simulating monetary policy through computer models in spreadsheets by using a Use-Modify-Create strategy
2022 conference-paper Computer Science Teaching and Learning Programming Open access

Lucas De Bruin, Jacqueline Nijenhuis-Voogt, Sabiha Yeni

0

citations
Eye Gaze Tells You Where to Compute: Gaze-Driven Efficient VLMs
2025 arXiv (Cornell University) preprint Computer Science Multimodal Machine Learning Applications Open access

Qinyu Chen

3

citations
Improving robustness of jet tagging algorithms with adversarial training: exploring the loss surface
2026 Journal of Physics Conference Series conference-paper Computer Science Adversarial Robustness in Machine Learning Open access

Annika Stein

1

citations
LLM powered echocardiography report structuring: a step towards precision medicine
2025 European Heart Journal article Computer Science Machine Learning in Healthcare

Wouter P M van der Loo, Viktor van der Valk, T. van den Broek, Douwe E. Atsma, Marius Staring, R.W.C. Scherptong

0

citations
OER Recommendations to Support Career Development
2020 2022 IEEE Frontiers in Education Conference (FIE) conference-paper Computer Science Open Education and E-Learning Open access

Mohammadreza Tavakoli, Ali Faraji, Stefan T. Mol, Gábor Kismihók

0

citations
Adversarial Examples on Object Recognition
2020 ACM Computing Surveys article Computer Science Adversarial Robustness in Machine Learning Open access

Alex Serban, Erik Poll, Joost Visser

139

citations
Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift
2022 ACM International Conference on Multimedia (ACM MM) conference-paper Computer Science Domain Adaptation and Few-Shot Learning Open access cited by 1 patent

Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler

34

citations
Structack: Structure-based Adversarial Attacks on Graph Neural Networks
2021 ACM Conference on Hypertext and Social Media (HT) conference-paper Computer Science Adversarial Robustness in Machine Learning Open access

Hussain Hussain, Tomislav Đuričić, Elisabeth Lex, Denis Helić, Markus Strohmaier, Roman Kern

16

citations
Novel architecture for gated recurrent unit autoencoder trained on time series from electronic health records enables detection of ICU patient subgroups
2023 Scientific Reports article Computer Science Machine Learning in Healthcare Open access cited by 2 patents

Kilian Merkelbach, Steffen Schaper, Christian Diedrich, Sebastian Johannes Fritsch, Andreas Schuppert

12

citations
Adversarial Examples on Object Recognition: A Comprehensive Survey
2020 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access

Alex Serban, Erik Poll, Joost Visser

11

citations
Test-Time Adaptation of a Multi-Class Object Localization and Size Estimation Framework for Smart Agriculture Applications
2025 Cognitive Computation article Computer Science Domain Adaptation and Few-Shot Learning Open access

Zixu Liu, Qinhao Wu, Yuan Chai, Huan Yu

1

citations
Focal Sampling: SGD biased towards early important samples for efficient image classification with augmentation selection
2025 Knowledge and Information Systems article Computer Science Machine Learning and Data Classification Open access

Alessio Quercia, Abigail Morrison, Hanno Scharr, Ira Assent

0

citations
VQA-BC: Robust Visual Question Answering Via Bidirectional Chaining
2022 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Computer Science Multimodal Machine Learning Applications

Mingrui Lao, Yanming Guo, Wei Chen, Nan Pu, Michael S. Lew

3

citations
Assessment of Simulated Data for Training Semantic Segmentation-based Perception Models in Construction
2025 Procedia Computer Science conference-paper Computer Science Domain Adaptation and Few-Shot Learning Open access

Jorge Luis Jiménez Aparicio, David Böken, Johannes Sprink, Xiaoting Wang, Jürgen Roßmann

0

citations