Research topic
Machine Learning and Algorithms
Physical Sciences → Computer Science → Artificial Intelligence
About Machine Learning and Algorithms
This cluster of papers revolves around the topic of active learning in machine learning research. It covers various aspects such as semi-supervised learning, deep learning, Gaussian processes, image classification, text categorization, batch mode active learning, statistical guarantees, and human-in-the-loop approaches.
Keywords
Active Learning Machine Learning Semi-supervised Learning Deep Learning Gaussian Processes Image Classification Text Categorization Batch Mode Statistical Guarantees Human-in-the-loop
Development over time
| Year | research outputs |
|---|---|
| 2025 | 1 |
| 2024 | 1 |
Areas of expertise
Units represented in this topic
| Areas of expertise |
|---|
Community Resilience Group1 Research outputs |
Predictive Systems Lab1 Research outputs |
Experts
Researchers represented in this topic
Here, researchers who have publications in OSIRIS assigned to this spectrum topic are displayed. For better clarity, only a selection is shown.
Amina Bello
1 Research outputs
Dr. Leo Brandt
1 Research outputs
Dr. Maya Chen
1 Research outputs
Dr. Nadia Okoye
1 Research outputsThe assignment of publications to topics is done automatically and may be incomplete or incorrect. If a person does not appear in the list, it does not mean that they could not have contributed to the topic.