Validation Overfitting
Validation Overfitting is a form of overfitting in machine learning whereby a model is excessively tuned to the validation set during hyperparameter optimization or model selection, resulting in poor generalization to unseen test data despite favorable validation performance.
3
Publications
172
Citations
16
Authors
5
Institutions
Publications per year
2017–2026
2
Parents
3
Contract-based program repair without the contracts
Liushan Chen, Yu Pei, Carlo A. Furia · 2017 · 131 citations
Mitigating Crop Losses: AI-enabled Disease Detection in Tomato Plants
Hassan Ashfaq, Usama Arshad, Raja Hashim Ali et al. · 2023 · 34 citations
1–4 of 3
16
1
h-index
1
h-index
Massachusetts Institute of Technology, United States
1 publications · 25 citations
1
h-index
1
h-index
1
h-index
1–5 of 16
5
Pontifícia Universidade Católica do Paraná
Curitiba, Brazil
1 h-index
3 publications
48 citations

École de Technologie Supérieure
Montreal, Canada
1 h-index
3 publications
48 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
1 h-index
2 publications
262 citations
Université du Québec à Montréal
Montreal, Canada
1 h-index
3 publications
48 citations
Chalmers University of Technology
Gothenburg, Sweden
1 h-index
1 publications
131 citations

University of Regina
Regina, Canada
1 publications
34 citations
Software (Germany)
Darmstadt, Germany
1 publications
34 citations

University of Applied Sciences Europe
Iserlohn, Germany
1 publications
34 citations
1–8 of 5
Conference · 1 publications · 16 citations
1
h-index
Repository · 1 publications · 25 citations
1
h-index
1–2