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Real-time prediction of bus travel speeds using traffic shockwaves and machine learning algorithms

Julio, Nikolas; Giesen, Ricardo; Lizana, Pedro - In: Research in transportation economics 59 (2016), pp. 250-257

Persistent link: https://www.econbiz.de/10011706897

Predicting stock price using two-stage machine learning techniques

Zhang, Jun; Li, Lan; Chen, Wei - In: Computational economics 57 (2021) 4, pp. 1237-1261

Persistent link: https://www.econbiz.de/10012543291

Financial distress prediction : the case of French small and medium-sized firms

Mselmi, Nada; Lahiani, Amine; Hamza, Taher - In: International review of financial analysis 50 (2017), pp. 67-80

Persistent link: https://www.econbiz.de/10011820657

Forecasting US unemployment with radial basis neural networks, Kalman filters and support vector regressions

Stasinakis, Charalampos; Sermpinis, Georgios; … - In: Computational economics 47 (2016) 4, pp. 569-587

Persistent link: https://www.econbiz.de/10011712477

Artificial neural networks and statistical pattern recognition : old and new connections

Sethi, Ishwar K. (contributor) - 1991

Persistent link: https://www.econbiz.de/10004122148

A comparative analysis of machine learning algorithms for image classification : evaluating performance

Kapse, Manohar; Elangovan, N.; Lalkiya, M.; Deshpande, … - In: Data-Driven Decision Making, (pp. 59-75). 2024

Persistent link: https://www.econbiz.de/10014633436

Short-term forecasting ability of hybrid models for BRIC currencies

Sreeram, Latha; Sayed, Samie Ahmed - In: Global business review 25 (2024) 3, pp. 585-605

Persistent link: https://www.econbiz.de/10014634305

Pattern recognition based on morphological shape analysis and neural networks

Yu, P.; Anastassopoulos, V.; Venetsanopoulos, A.N. - In: Mathematics and Computers in Simulation (MATCOM) 40 (1996) 5, pp. 577-595

Morphological transformations are efficient methods for shape analysis and representation. In this paper two morphological shape descriptors are described for object feature representation. Neural networks are then employed for object recognition and classification. Various coding schemes and...

Persistent link: https://www.econbiz.de/10010869975

Machine learning in energy economics and finance: a review

Ghoddusi, Hamed; Creamer Guillén, Germán; Rafizadeh, Nima - In: Energy economics 81 (2019), pp. 709-727

Persistent link: https://www.econbiz.de/10012172954

Monthly crude oil spot price forecasting using variational mode decomposition

Li, Jinchao; Zhu, Shaowen; Wu, Qianqian - In: Energy economics 83 (2019), pp. 240-253

Persistent link: https://www.econbiz.de/10012175324