Toshitaka Hayashi
Toshitaka Hayashi publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, on topics such as Anomaly Detection Techniques and Applications, Imbalanced Data Classification Techniques and Machine Learning and Data Classification.
- World rank
- #1,921,763 of 7,710,434 ranked researchers
- Rank in Japan
- #34,241 of 383,136
- Works
- 34
- Citations
- 500
- Citations per work
- 14.7
What does Toshitaka Hayashi research?
Toshitaka Hayashi's work is mostly in Computer Science (74%), Engineering (9%), Medicine (3%).
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 Sciences2882.5%
- Computer Science2573.7%
- Engineering38.8%
- Everything else514.2%
- Health Sciences13.3%
- Medicine13.3%
- 1Artificial Intelligence50% of their works
- 2Computer Vision and Pattern Recognition18% of their works
- 3Signal Processing7% of their works
- 4Biomedical Engineering4% of their works
- 5Control and Systems Engineering4% of their works
- 6Radiology, Nuclear Medicine and Imaging3% of their works
Research topics
- Anomaly Detection Techniques and Applications
- Imbalanced Data Classification Techniques
- Machine Learning and Data Classification
- Face and Expression Recognition
- Time Series Analysis and Forecasting
- Domain Adaptation and Few-Shot Learning
- Digital Imaging for Blood Diseases
- Generative Adversarial Networks and Image Synthesis
Which keywords describe Toshitaka Hayashi's research?
The keywords of their largest research topics: Deep Learning, Time Series, Neural Networks, Anomaly Detection, Unsupervised, Classification, Ensemble Methods and Dimensionality Reduction.
- Image Synthesis
- Transfer Learning
- Leukemia Classification
- Noisy Labels
- Feature Selection
- Dynamic Time Warping
- Unsupervised Learning
- Representation Learning
- Meta-Learning
- Dimensionality Reduction
- Classification
- Anomaly Detection
- Time Series
- Deep Learning
- Neural Networks
- Unsupervised
- Ensemble Methods
- Feature Extraction
- Imbalanced Data
- SMOTE
- Clustering
- Face Recognition
- Hyperparameter Optimization
- Domain Adaptation
- Malaria Parasite Detection
- Generative Adversarial 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 26 words, with their numbers
- Deep Learning283 topics
- Time Series252 topics
- Neural Networks222 topics
- Anomaly Detection191 topic
- Unsupervised191 topic
- Classification132 topics
- Ensemble Methods132 topics
- Dimensionality Reduction122 topics
- Feature Extraction102 topics
- Meta-Learning102 topics
- Imbalanced Data71 topic
- Representation Learning72 topics
- SMOTE71 topic
- Unsupervised Learning72 topics
- Clustering61 topic
- Dynamic Time Warping61 topic
- Face Recognition61 topic
- Feature Selection61 topic
- Hyperparameter Optimization61 topic
- Noisy Labels61 topic
- Domain Adaptation41 topic
- Leukemia Classification41 topic
- Malaria Parasite Detection41 topic
- Transfer Learning41 topic
- Generative Adversarial Networks31 topic
- Image Synthesis31 topic
Where does Toshitaka Hayashi work?
Toshitaka Hayashi's main affiliation in the publication record is Iwate Prefectural University, Japan.
How many publications and citations does Toshitaka Hayashi have?
OpenAlex counts 34 works and 500 citations for Toshitaka Hayashi, an h-index of 9, ranking #1,921,763 of 7,710,434 researchers worldwide on the quality 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 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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