Search Results - subject:"Supervised Machine Learning"

Machine learning-based feasibility checks for dynamic time slot management

Hagen, Liana van der; Agatz, Niels; Spliet, Remy; … - 2022

Persistent link: https://www.econbiz.de/10013172064

Machine learning-based feasibility checks for dynamic time slot management

Hagen, Liana van der; Agatz, Niels; Spliet, Remy; … - In: Transportation science 58 (2024) 1, pp. 94-109

Persistent link: https://www.econbiz.de/10014465182

A machine learning-based analysis on the causality of financial stress in banking institutions

Souza, João Gabriel de Moraes; Castro, Daniel Tavares de; … - In: Computational economics 64 (2024) 3, pp. 1857-1890

Persistent link: https://www.econbiz.de/10015143964

Using machine learning to predict investors' switching behaviour

Nixon, Paul; Gilbert, Evan - In: Journal of behavioral and experimental finance 44 (2024), pp. 1-10

Persistent link: https://www.econbiz.de/10015162555

A survey of image labelling for computer vision applications

Sager, Christoph; Janiesch, Christian; Zschech, Patrick - In: Journal of business analytics 4 (2021) 2, pp. 91-110

Persistent link: https://www.econbiz.de/10012649412

International high-frequency arbitrage for cross-listed stocks

Poutré, Cédric; Dionne, Georges; Yergeau, Gabriel - 2021

Persistent link: https://www.econbiz.de/10012591155

Using solar panels for business purposes: Evidence based on high-frequency power usage data

Weisser, Christoph; Lenel, Friederike; Lu, Yao; … - In: Development Engineering 6 (2021), pp. 1-19

within each day, we use XGBoost as a supervised machine learning model combined with labels from a customer survey on …

Persistent link: https://www.econbiz.de/10014558529

Greasing the wheels for comparative communication research: Supervised text classification for multilingual corpora

Lind, Fabienne; Heidenreich, Tobias; Kralj, Christoph; … - In: Computational Communication Research 3 (2021) 3, pp. 1-30

Employing supervised machine learning for text classification is already a resource-intensive endeavor in a monolingual … supervised machine learning. Our findings demonstrate that good results can already be achieved with the machine translation of …

Persistent link: https://www.econbiz.de/10012888132

Using solar panels for business purposes : evidence based on high-frequency power usage data

Weisser, Christoph; Lenel, Friederike; Lu, Yao; … - In: Development engineering 6 (2021), pp. 1-19

within each day, we use XGBoost as a supervised machine learning model combined with labels from a customer survey on …

Persistent link: https://www.econbiz.de/10012815571

How to assess country risk : the vulnerability exercise approach using machine learning

Panth, Sanjaya (ed.) - 2021

The IMF's Vulnerability Exercise (VE) is a cross-country exercise that identifies country-specific near-term macroeconomic risks. As a key element of the Fund's broader risk architecture, the VE is a bottom-up, multi-sectoral approach to risk assessments for all IMF member countries. The VE...

Persistent link: https://www.econbiz.de/10013334937