Standout Papers

Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects 2021 2026 2022 2024188
  1. Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects (2021)
    Elena Dumitrescu, Sullivan Hué et al. European Journal of Operational Research

Immediate Impact

8 standout
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Citing Papers

SMOTE vs. SMOTEENN: A Study on the Performance of Resampling Algorithms for Addressing Class Imbalance in Regression Models
2025 Standout
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2 intermediate papers

Works of Sullivan Hué being referenced

Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects
2021 Standout

Author Peers

Author Last Decade Papers Cites
Sullivan Hué 63 104 3 103 5 220
Elena Dumitrescu 66 100 3 102 6 225
Naeem Siddiqi 54 82 12 86 3 184
Peter Martey Addo 62 81 1 92 8 199
David Veganzones 55 132 2 198 14 257
Yishay Spector 46 73 5 89 13 256
Geert Verstraeten 15 73 2 42 6 298
Jarrod West 12 159 7 82 2 241
Stella Cho 31 37 2 74 5 234
Ismael G. Dambolena 77 62 8 238 10 287
Anna Pomeranets 39 98 29 6 210

All Works

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2026