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Dr Yi Sun
Reader in Data Science
Centre for AI and Robotics Research
School of Physics, Engineering & Computer Science
Department of Computer Science
Biocomputation Research Group
Email
y.2.sun
herts.ac
uk
2001
2025
Research activity per year
Overview
Fingerprint
Network
Projects
(8)
Research output
(80)
Similar Profiles
(6)
Supervised Work
(1)
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Dive into the research topics where Yi Sun is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Weight
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Keyphrases
Machine Learning Techniques
100%
Gaussian Process
65%
Binding Site
60%
Support Vector Machine
59%
Binding Site Prediction
56%
Percutaneous Absorption
52%
Skin Permeation
47%
Gaussian Process Regression
45%
Oversampling Technique
43%
Transcription Factor Binding Sites Prediction
42%
Software Defect Prediction
39%
Error Correction
32%
Classification Methods
30%
Single-layer Network
28%
Machine Learning
28%
Gaussian Process Model
26%
Classification Results
25%
Customer Churn Prediction
24%
Static Code Metrics
23%
Genomic Data
23%
Optical Data Transmission
23%
Quantitative Structure-permeability Relationships
23%
Metric Data
23%
Individual Algorithms
23%
Human Skin
23%
Instance Weighting
23%
Electroencephalography
21%
Quality Model
21%
Cis-regulatory
20%
Lipophilicity
20%
Preprocessing Techniques
19%
Meta-classifier
18%
Program Data
18%
Prediction Quality
18%
Reasons to Believe
18%
Mouse Genome
18%
Cloud Computing
18%
Input Vector
18%
Electrical Signal
18%
Mathematical Modeling
18%
Drug Absorption
18%
Signal Processing
18%
Churn Prediction
18%
Speech Emotion Recognition
18%
Max-min
18%
Skin Penetration
18%
Relationship Model
18%
Transdermal Enhancer
18%
Synthetic Minority Oversampling Technique (SMOTE)
18%
Light Scattering Pattern
18%
Computer Science
Learning System
69%
Support Vector Machine
57%
Machine Learning
50%
Defect Prediction
42%
Sampling Technique
42%
Software Defect
39%
Classification Method
28%
Code Metrics
23%
Artificial Intelligence
23%
Data Program
23%
Network Layer
23%
Cloud Computing
18%
Random Selection
18%
Speech Emotion Recognition
18%
classification result
18%
Neural Network
18%
Clustering Algorithm
18%
Sentiment Analysis
18%
Machine Learning Technique
15%
Support Vector Machine
15%
Large Data Set
14%
Residual Neural Network
13%
Principal Components
13%
Component Analysis
13%
Object Recognition
12%
Deep Learning Method
12%
videogame
12%
Adaptive Learning
12%
Scientific Visualization
12%
Feature Selection
11%
Feature Extraction
11%
Preprocessing
11%
Comparative Analysis
10%
Prediction Model
10%
Nominal Data Analysis
9%
System Dynamics
9%
Commercial Success
9%
Customer Information
9%
Class Information
9%
Class Imbalance
9%
Class Imbalance Problem
9%
Quantitative Structure
9%
Wavelet Coefficient
9%
Extracted Feature
9%
Topic Modeling
9%
Regularization
9%
Behavioral Outcome
9%
Perceived Similarity
9%
Recognition Performance
9%
Wavelet Representation
9%