Gesina Schwalbe
Gesina Schwalbe publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Automotive Engineering, on topics such as Adversarial Robustness in Machine Learning, Explainable Artificial Intelligence (XAI) and Advanced Neural Network Applications.
- World rank
- #3,741,757 of 7,710,434 ranked researchers
- Rank in Germany
- #187,527 of 364,343
- Works
- 45
- Citations
- 553
- Citations per work
- 12.3
What does Gesina Schwalbe research?
Gesina Schwalbe's work is mostly in Computer Science (86%), Engineering (7%), Decision Sciences (1%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences4293.2%
- Computer Science3986.4%
- Engineering36.8%
- Everything else35.8%
- Social Sciences01.0%
- Decision Sciences01.0%
- 1Artificial Intelligence64% of their works
- 2Computer Vision and Pattern Recognition22% of their works
- 3Automotive Engineering4% of their works
- 4Safety, Risk, Reliability and Quality2% of their works
- 5Information Systems and Management1% of their works
- 6Industrial and Manufacturing Engineering1% of their works
Research topics
- Adversarial Robustness in Machine Learning
- Explainable Artificial Intelligence (XAI)
- Advanced Neural Network Applications
- Domain Adaptation and Few-Shot Learning
- Multimodal Machine Learning Applications
- Machine Learning and Data Classification
- Anomaly Detection Techniques and Applications
- Autonomous Vehicle Technology and Safety
Which keywords describe Gesina Schwalbe's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Deep Neural Networks, Machine Learning, Adversarial Examples, Interpretable Models, Machine Learning Interpretability and Robustness.
- Trajectory Prediction
- Anomaly Detection
- Hyperparameter Optimization
- Transfer Learning
- Domain Adaptation
- Image Recognition
- Robustness
- Interpretable Models
- Machine Learning
- Neural Networks
- Deep Learning
- Deep Neural Networks
- Adversarial Examples
- Machine Learning Interpretability
- Convolutional Neural Networks
- Meta-Learning
- Image Captioning
- Visual Question Answering
- Noisy Labels
- Autonomous Vehicles
- Unsupervised
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 21 words, with their numbers
- Deep Learning435 topics
- Neural Networks283 topics
- Deep Neural Networks232 topics
- Machine Learning222 topics
- Adversarial Examples181 topic
- Interpretable Models181 topic
- Machine Learning Interpretability181 topic
- Robustness181 topic
- Convolutional Neural Networks111 topic
- Image Recognition111 topic
- Meta-Learning112 topics
- Domain Adaptation61 topic
- Image Captioning61 topic
- Transfer Learning61 topic
- Visual Question Answering61 topic
- Hyperparameter Optimization51 topic
- Noisy Labels51 topic
- Anomaly Detection41 topic
- Autonomous Vehicles41 topic
- Trajectory Prediction41 topic
- Unsupervised41 topic
Where does Gesina Schwalbe work?
Gesina Schwalbe's main affiliation in the publication record is Continental (Germany), Germany.
How many publications and citations does Gesina Schwalbe have?
OpenAlex counts 45 works and 553 citations for Gesina Schwalbe, an h-index of 9, ranking #3,741,757 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
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