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1
Distribution Network Deployment for Omnichannel Retailing: .
Distribution Network Deployment for Omnichannel Retailing: .
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Distribution Network Deployment for Omnichannel Retailing: .

Arslan, A. N. ; Klibi, W. ; Montreuil, B.

European journal of operational research, 2021-11 [Periódico revisado por pares]

Elsevier

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2
Consistency of returns-to-scale characterizations of production frontiers with respect to model specification: .
Consistency of returns-to-scale characterizations of production frontiers with respect to model specification: .
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Consistency of returns-to-scale characterizations of production frontiers with respect to model specification: .

Podinovski, Victor V. ; Bouzdine-Chameeva, T.

European journal of operational research, 2020-01 [Periódico revisado por pares]

Elsevier

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3
Explainable Analytics for Operational Research
Explainable Analytics for Operational Research
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Explainable Analytics for Operational Research

de Bock, K. ; Coussement, K. ; de Caigny, A.

European journal of operational research, 2024-09, Vol.317 (2) [Periódico revisado por pares]

Elsevier

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4
Explainable Analytics for Operational Research
Explainable Analytics for Operational Research
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Explainable Analytics for Operational Research

De Bock, Koen W. ; Coussement, Kristof ; De Caigny, Arno

European journal of operational research, 2024-09, Vol.317 (2), p.243-248 [Periódico revisado por pares]

Elsevier B.V

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5
Economic foundations of generalized games with shared constraint : Do binding agreements lead to less Nash equilibria?
Economic foundations of generalized games with shared constraint : Do binding agreements lead to less Nash equilibria?
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Economic foundations of generalized games with shared constraint : Do binding agreements lead to less Nash equilibria?

Braouézec, Yann ; Kiani, Keyvan

European journal of operational research, 2023-07 (308 (1)) [Periódico revisado por pares]

Elsevier

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6
Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500
Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500
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Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500

Krauss, Christopher ; Do, Xuan Anh ; Huck, Nicolas

European journal of operational research, 2017-06, Vol.259 (2), p.689-702 [Periódico revisado por pares]

Elsevier B.V

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7
Interbank network characteristics, monetary policy "News" and sensitivity of bank stock returns
Interbank network characteristics, monetary policy "News" and sensitivity of bank stock returns
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Interbank network characteristics, monetary policy "News" and sensitivity of bank stock returns

Ardekani, Aref Mahdavi ; Distinguin, Isabelle ; Tarazi, Amine

European journal of operational research, 2020 [Periódico revisado por pares]

Elsevier

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8
Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects
Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects
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Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects

Dumitrescu, Elena ; Hué, Sullivan ; Hurlin, Christophe ; Tokpavi, Sessi

European journal of operational research, 2022-03, Vol.297 (3), p.1178-1192 [Periódico revisado por pares]

Elsevier B.V

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9
A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees
A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees
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A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees

De Caigny, Arno ; Coussement, Kristof ; De Bock, Koen W.

European journal of operational research, 2018-09, Vol.269 (2), p.760-772 [Periódico revisado por pares]

Elsevier B.V

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10
Moments and distribution of the net present value of a serial project
Moments and distribution of the net present value of a serial project
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Moments and distribution of the net present value of a serial project

Creemers, Stefan

European journal of operational research, 2018-06, Vol.267 (13), p.835-848 [Periódico revisado por pares]

Elsevier

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