Junbo Sun

Evaluation & Benchmarks · 2019

A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Evaluation & Benchmarks — 6 citations into it
• Statistics and Probability — 6 citations into it

Whom Junbo Sun trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ron Kohavi
2. I-Cheng Yeh

Who trusts Junbo Sun overall

1. Yuantian Sun
2. Guichen Li
3. Alireza Ashrafian
4. Junfei Zhang

Papers from Junbo Sun's perspective

Ordered by how strongly the researchers Junbo Sun trusts endorse each paper. Same corpus, a different order for every researcher.

1. Learning representations by back-propagating errors
2. Creating artificial neural networks that generalize
3. Neural networks for predicting compressive strength of structural light weight concrete
4. Prediction and modeling of mechanical properties in fiber reinforced self-compacting concrete using particle swarm optimization algorithm and artificial neural network
5. Sensitivity Analysis of k-Fold Cross Validation in Prediction Error Estimation (IEEE Transactions on Pattern Analysis and Machine Intelligence)
6. Bagging Predictors
7. Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms
8. Cross‐Validatory Choice and Assessment of Statistical Predictions
9. Subset Selection in Regression
10. Random Forests

Their papers

• Prediction of permeability and unconfined compressive strength of pervious concrete using evolved support vector regression (2019) — 165 citations
• Optimized neural network using beetle antennae search for predicting the unconfined compressive strength of jet grouting coalcretes (2019) — 146 citations
• Determination of Young's modulus of jet grouted coalcretes using an intelligent model (2019) — 94 citations
• Modelling uniaxial compressive strength of lightweight self-compacting concrete using random forest regression (2019) — 368 citations