1 code implementation • 17 Aug 2020 • Sergio Garrido, Stanislav S. Borysov, Jeppe Rich, Francisco C. Pereira
Estimation of causal effects is fundamental in situations were the underlying system will be subject to active interventions.
no code implementations • 17 Sep 2019 • Sergio Garrido, Stanislav S. Borysov, Francisco C. Pereira, Jeppe Rich
In this paper, two machine learning algorithms, from the family of deep generative models, are proposed for the problem of population synthesis and with particular attention to the problem of sampling zeros.
no code implementations • 1 Mar 2019 • Stanislav S. Borysov, Jeppe Rich
We use the presented approach to reveal the dynamics of transport preferences for a fixed pseudo panel of individuals based on a large Danish cross-sectional data set covering the period from 2006 to 2016.
no code implementations • 20 Dec 2018 • Filipe Rodrigues, Stanislav S. Borysov, Bernardete Ribeiro, Francisco C. Pereira
Public special events, like sports games, concerts and festivals are well known to create disruptions in transportation systems, often catching the operators by surprise.
1 code implementation • 30 Oct 2018 • Bart Olsthoorn, R. Matthias Geilhufe, Stanislav S. Borysov, Alexander V. Balatsky
Machine-learning models are capable of capturing the structure-property relationship from a dataset of computationally demanding ab initio calculations.
3 code implementations • 21 Aug 2018 • Stanislav S. Borysov, Jeppe Rich, Francisco C. Pereira
It is a fundamental problem in the modeling of transport where the synthetic populations of micro-agents represent a key input to most agent-based models.
1 code implementation • 31 Oct 2017 • Stanislav S. Borysov, Bart Olsthoorn, M. Berk Gedik, R. Matthias Geilhufe, Alexander V. Balatsky
We present an online graphical pattern search tool for electronic band structure data contained within the Organic Materials Database (OMDB) available at http://omdb. diracmaterials. org/search/pattern.
Materials Science