Guilherme Alves
Guilherme Alves publishes mostly in Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, on topics such as Data Mining Algorithms and Applications, Data Management and Algorithms and Explainable Artificial Intelligence (XAI).
- World rank
- #6,394,062 of 7,710,434 ranked researchers
- Rank in Brazil
- #170,291 of 253,246
- Works
- 18
- Citations
- 72
- Citations per work
- 4.0
What does Guilherme Alves research?
Guilherme Alves's work is mostly in Computer Science (64%), Medicine (6%), Social Sciences (4%).
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 Sciences1264.1%
- Computer Science1264.1%
- Everything else526.4%
- Health Sciences15.7%
- Medicine15.7%
- Social Sciences13.8%
- Social Sciences13.8%
- 1Artificial Intelligence30% of their works
- 2Information Systems19% of their works
- 3Computer Vision and Pattern Recognition8% of their works
- 4Signal Processing8% of their works
- 5Radiology, Nuclear Medicine and Imaging6% of their works
- 6Sociology and Political Science4% of their works
Research topics
- Data Mining Algorithms and Applications
- Data Management and Algorithms
- Explainable Artificial Intelligence (XAI)
- Advanced Clustering Algorithms Research
- Recommender Systems and Techniques
- Adversarial Robustness in Machine Learning
- Bayesian Modeling and Causal Inference
- Machine Learning and Data Classification
Which keywords describe Guilherme Alves's research?
The keywords of their largest research topics: Machine Learning, Clustering Algorithms, Data Mining, Frequent Patterns, Deep Learning, Deep Neural Networks, Neural Networks and GPS Trajectories.
- Noisy Labels
- Causal Inference
- Adversarial Examples
- Machine Learning Interpretability
- Interpretable Models
- Cluster Validation
- GPS Trajectories
- Deep Neural Networks
- Frequent Patterns
- Clustering Algorithms
- Machine Learning
- Data Mining
- Deep Learning
- Neural Networks
- Trajectory Data Mining
- Collaborative Filtering
- K-means
- Matrix Factorization
- Bayesian Networks
- Hyperparameter Optimization
- Robustness
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 21 words, with their numbers
- Machine Learning82 topics
- Clustering Algorithms72 topics
- Data Mining61 topic
- Frequent Patterns61 topic
- Deep Learning52 topics
- Deep Neural Networks52 topics
- Neural Networks52 topics
- GPS Trajectories41 topic
- Trajectory Data Mining41 topic
- Cluster Validation31 topic
- Collaborative Filtering31 topic
- Interpretable Models31 topic
- K-means31 topic
- Machine Learning Interpretability31 topic
- Matrix Factorization31 topic
- Adversarial Examples21 topic
- Bayesian Networks21 topic
- Causal Inference21 topic
- Hyperparameter Optimization21 topic
- Noisy Labels21 topic
- Robustness21 topic
Where does Guilherme Alves work?
Guilherme Alves's main affiliation in the publication record is Universidade Federal de Uberlândia, Brazil.
How many publications and citations does Guilherme Alves have?
OpenAlex counts 18 works and 72 citations for Guilherme Alves, an h-index of 6, ranking #6,394,062 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.
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