Cecilia Sönströd
Cecilia Sönströd publishes mostly in Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics, on topics such as Machine Learning and Data Classification, Explainable Artificial Intelligence (XAI) and Adversarial Robustness in Machine Learning.
- World rank
- #1,629,330 of 1,633,909 ranked researchers
- Rank in Sweden
- #16,311 of 16,333
- Works
- 15
- Citations
- 11
- Citations per work
- 0.7
What does Cecilia Sönströd research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence79% of their works
- 2Molecular Biology12% of their works
- 3Computational Theory and Mathematics4% of their works
- 4Statistics and Probability4% of their works
Research topics
- Machine Learning and Data Classification
- Explainable Artificial Intelligence (XAI)
- Adversarial Robustness in Machine Learning
- Imbalanced Data Classification Techniques
- Gene expression and cancer classification
- Machine Learning in Bioinformatics
- Bioinformatics and Genomic Networks
- Bayesian Modeling and Causal Inference
Which keywords describe Cecilia Sönströd's research?
The keywords of their largest research topics: Deep Neural Networks, Classification, Hyperparameter Optimization, Noisy Labels, Interpretable Models, Machine Learning, Machine Learning Interpretability and Adversarial Examples.
- Subcellular Localization
- Protein
- Gene Set Enrichment Analysis
- Causal Inference
- SMOTE
- Bioinformatics
- Adversarial Examples
- Machine Learning
- Noisy Labels
- Classification
- Deep Neural Networks
- Hyperparameter Optimization
- Interpretable Models
- Machine Learning Interpretability
- Deep Learning
- Imbalanced Data
- Bayesian Networks
- Gene Expression
- Microarray
- Protein-Protein Interaction Networks
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.
All 20 words, with their numbers
- Deep Neural Networks112 topics
- Classification82 topics
- Hyperparameter Optimization61 topic
- Noisy Labels61 topic
- Interpretable Models51 topic
- Machine Learning53 topics
- Machine Learning Interpretability51 topic
- Adversarial Examples31 topic
- Deep Learning31 topic
- Bioinformatics22 topics
- Imbalanced Data21 topic
- SMOTE21 topic
- Bayesian Networks11 topic
- Causal Inference11 topic
- Gene Expression11 topic
- Gene Set Enrichment Analysis11 topic
- Microarray11 topic
- Protein11 topic
- Protein-Protein Interaction Networks11 topic
- Subcellular Localization11 topic
Where does Cecilia Sönströd work?
Cecilia Sönströd's main affiliation in the publication record is University of Borås, Sweden.
How many publications and citations does Cecilia Sönströd have?
Science Explorer counts 15 works and 11 citations for Cecilia Sönströd, ranking #1,629,330 of 1,633,909 researchers worldwide on the composite score.
Ranked on field-normalised 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 are in the interactive view on the map. Is this your page? Request a correction or removal.