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researcher

M. Cools

3 papers hereh-index 333.5k citations176 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • stat.ME1

identity via Semantic Scholar / OpenAlex

activity
20172023
most citedAn investigation into machine learning approaches for forecasting spatio-temporal demand in ride-hailing service

29 citations · 43 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2023

Exploring Machine Learning Techniques to Identify Important Factors Leading to Injury in Curve Related Crashes

Mehdi Moeinaddini, Mozhgan Pourmoradnasseri, Amnir Hadachi +1

Different factors have effects on traffic crashes and crash-related injuries. These factors include segment characteristics, crash-level characteristics, occupant level characteris…

stat.ME2020★ 14 cited

Bayesian inference for transportation origin-destination matrices: the Poisson-inverse Gaussian and other Poisson mixtures

Konstantinos Perrakis, Dimitris Karlis, Mario Cools +1

In this paper we present Poisson mixture approaches for origin-destination (OD) modeling in transportation analysis. We introduce covariate-based models which incorporate different…

cs.LG2017★ 29 cited

An investigation into machine learning approaches for forecasting spatio-temporal demand in ride-hailing service

Ismaïl Saadi, Melvin Wong, Bilal Farooq +2

In this paper, we present machine learning approaches for characterizing and forecasting the short-term demand for on-demand ride-hailing services. We propose the spatio-temporal e…

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