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Papers matching “domain classification” 129

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Performance of Computer Vision Algorithms for Fine‐Grained Classification Using Crowdsourced Insect Images
2025 IET Computer Vision article Computer Science Advanced Neural Network Applications Open access

Rita Pucci, Vincent J. Kalkman, Dan Stowell

2

citations
Performance of computer vision algorithms for fine-grained classification using crowdsourced insect images
2024 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Rita Pucci, Vincent J. Kalkman, Dan Stowell

0

citations
Impact of transfer learning methods and dataset characteristics on generalization in birdsong classification
2025 Scientific Reports article Computer Science Music and Audio Processing Open access

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

20

citations
Unsupervised many-to-many stain translation for histological image augmentation to improve classification accuracy
2023 Journal of Pathology Informatics article Computer Science AI in cancer detection Open access

Maryam Berijanian, Nadine S. Schaadt, Boqiang Huang, Johannes Lotz, Friedrich Feuerhake, Dorit Merhof

10

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
TX-Gen: Multi-Objective Optimization for Sparse Counterfactual Explanations for Time-Series Classification
2024 arXiv (Cornell University) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access

Qi Huang, Sofoklis Kitharidis, Thomas Bäck, Bas van Stein

0

citations
Topic Modeling for Interpretable Text Classification From EHRs
2022 Frontiers in Big Data article Computer Science Machine Learning in Healthcare Open access

Emil Rijcken, Uzay Kaymak, Floortje E. Scheepers, Pablo J. Mosteiro, Kalliopi Zervanou, Marco René Spruit

36

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
Interpretable Visualizations of Deep Neural Networks for Domain Generation Algorithm Detection
2020 IEEE Symposium on Visualization for Cyber Security (VIZSEC) conference-paper Computer Science Explainable Artificial Intelligence (XAI)

Franziska Becker, Arthur Drichel, Christoph Müller, Thomas Ertl

15

citations
Few Shot Learning for the Classification of Confocal Laser Endomicroscopy Images of Head and Neck Tumors
2024 Informatik aktuell conference-paper Computer Science Domain Adaptation and Few-Shot Learning

Marc Aubreville, Zhaoya Pan, Matti Sievert, Jonas Ammeling, Jonathan Ganz, Nicolai Oetter, +4 more

2

citations
Spatial Maturity Regression for the Classification of Hematopoietic Cells
2022 International Conference on Image Processing Theory, Tools and Applications (IPTA) conference-paper Computer Science Digital Imaging for Blood Diseases

Philipp Gräbel, Julian Thull, Martina Margrit Crysandt, Barbara M. Klinkhammer, Peter Boor, Tim H. Brümmendorf, +1 more

0

citations
Making use of NXt to nothing
2020 International Conference on Availability, Reliability and Security (ARES) conference-paper Computer Science Advanced Malware Detection Techniques Open access

Arthur Drichel, Ulrike Meyer, Samuel Schüppen, Dominik Teubert

16

citations
Detecting Unknown DGAs without Context Information
2022 International Conference on Availability, Reliability and Security (ARES) conference-paper Computer Science Advanced Malware Detection Techniques Open access

Arthur Drichel, Justus von Brandt, Ulrike Meyer

4

citations
Are LSTMs good few-shot learners?
2023 Machine Learning article Computer Science Domain Adaptation and Few-Shot Learning Open access

Mike Huisman, Thomas M. Moerland, Aske Plaat, Jan N. van Rijn

12

citations
Are LSTMs Good Few-Shot Learners?
2023 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Mike Huisman, Thomas M. Moerland, Aske Plaat, Jan N. van Rijn

0

citations
Inter-Facility Evaluation of Machine Learning Based Deep Hematopoietic Cell Classifiers for Cytological Evaluation of Hematopoiesis
2023 Blood conference-abstract Computer Science Digital Imaging for Blood Diseases Open access

Julian Thull, Martina Margrit Crysandt, Barbara M. Klinkhammer, Peter Boor, Tim H. Brümmendorf, Volkmar Schulz, +2 more

0

citations
Analyzing the real-world applicability of DGA classifiers
2020 International Conference on Availability, Reliability and Security (ARES) conference-paper Computer Science Spam and Phishing Detection Open access

Arthur Drichel, Ulrike Meyer, Samuel Schüppen, Dominik Teubert

32

citations
Integrating information theory and adversarial learning for cross-modal retrieval
2021 Pattern Recognition article Computer Science Multimodal Machine Learning Applications Open access

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

32

citations
Integrating Information Theory and Adversarial Learning for Cross-modal Retrieval
2021 arXiv (Cornell University) preprint Computer Science Multimodal Machine Learning Applications Open access

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

0

citations
On the Relevance of Phoneme Duration Variability of Synthesized Training Data for Automatic Speech Recognition
2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) conference-paper Computer Science Speech Recognition and Synthesis

Nick Rossenbach, Benedikt Hilmes, Ralf Schlüter

3

citations
On the Relevance of Phoneme Duration Variability of Synthesized Training Data for Automatic Speech Recognition
2023 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Nick Rossenbach, Benedikt Hilmes, Ralf Schlüter

0

citations
Large-scale zero-shot learning in the wild: Classifying zoological illustrations
2021 Ecological Informatics article Computer Science Domain Adaptation and Few-Shot Learning Open access

Lise Stork, Andreas Weber, H.J. van den Herik, Aske Plaat, Fons J. Verbeek, Katherine Wolstencroft

12

citations
Deep Learning-Based Bias Transfer for Overcoming Laboratory Differences of Microscopic Images
2021 Lecture notes in computer science conference-paper Computer Science Domain Adaptation and Few-Shot Learning Open access

Ann-Katrin Thebille, Esther Dietrich, Martin Klaus, Lukas Gernhold, Maximilian Lennartz, Christoph Kuppe, +6 more

1

citations
O2A: One-Shot Observational Learning with Action Vectors
2021 Frontiers in Robotics and AI article Computer Science Reinforcement Learning in Robotics Open access

Leo Pauly, Wisdom C. Agboh, David Hogg, Raúl Fuentes

6

citations
ProtoSimNet: Exploiting prototype similarity for few-shot learning
2026 Neurocomputing article Computer Science Domain Adaptation and Few-Shot Learning Open access

Kai He, Nan Pu, Erwin M. Bakker, Michael S. Lew

0

citations