A novel loss function for neural network models exploring stock realized volatility using Wasserstein Distance
Hugo Gobato Souto; Amir Moradi
FinTDA: Python package for estimating market change through persistent homology diagrams
Hugo Gobato Souto (Student); Amir Moradi (Onderzoeker); Ismail Baris; Storm Koert Heuvel
Wasserstein distance loss function for financial time series deep learning
Hugo Gobato Souto (Student); Amir Moradi (Onderzoeker)
Supply chain impact of autonomous vessels: towards a research agenda
R.B. Castelein; T.M. Verduijn
Introducing NBEATSx to realized volatility forecasting
Hugo Gobato Souto; Amir Moradi
Dynamic Capital Structure Adjustment
Choi, Sung Sup Brian; Sauka, Kudzai (Lectoraat Digital Commerce); Lee, Mi Young
Damage observations of RC buildings from 2023 Kahramanmaraş earthquake sequence and discussion on the seismic code regulations
Vuran, Eren; Serhatoğlu, Cavit; Timurağaoğlu, M. Ömer; Smyrou, Eleni; Bal, Ihsan Engin; Livaoğlu, Ramazan
Experimental characterisation and mechanical modelling of connection details in traditional Groningen houses
Arslan, Onur; Rots, Jan; Messali, Francesco; Bal, Ihsan Engin
Topological tail dependence: Evidence from forecasting realized volatility
Hugo Gobato Souto (Onderzoeker)
Integrating logistics into urban planning: best practices from Paris and Rotterdam
Bram Kin; Heleen Buldeo Rai; Laetitia Dablanc; Hans Quak




























