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Predicting municipalities in financial distress: a machine learning approach enhanced by domain expertise
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Predicting municipalities in financial distress: a machine learning approach enhanced by domain expertise

Dario Piermarini
A. M. Sudoso
V. Piccialli
ArXiv (abs)PDFHTML

Papers citing "Predicting municipalities in financial distress: a machine learning approach enhanced by domain expertise"

4 / 4 papers shown
Title
A Closer Look at AUROC and AUPRC under Class Imbalance
A Closer Look at AUROC and AUPRC under Class Imbalance
Matthew B. A. McDermott
Lasse Hyldig Hansen
Haoran Zhang
Giovanni Angelotti
Jack Gallifant
123
34
0
11 Jan 2024
An Exact Algorithm for Semi-supervised Minimum Sum-of-Squares Clustering
An Exact Algorithm for Semi-supervised Minimum Sum-of-Squares Clustering
V. Piccialli
Anna Russo Russo
A. M. Sudoso
36
13
0
30 Nov 2021
A machine learning approach for forecasting hierarchical time series
A machine learning approach for forecasting hierarchical time series
P. Mancuso
V. Piccialli
A. M. Sudoso
BDLAI4TS
62
60
0
31 May 2020
XGBoost: A Scalable Tree Boosting System
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
814
39,062
0
09 Mar 2016

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