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Reconstructing commuters network using machine learning and urban
  indicators

Reconstructing commuters network using machine learning and urban indicators

Scientific Reports (Sci Rep), 2019
9 August 2019
Gabriel Spadon
A. Carvalho
Jose F. Rodrigues-Jr
L. G. Alves
    HAI
ArXiv (abs)PDFHTML

Papers citing "Reconstructing commuters network using machine learning and urban indicators"

8 / 8 papers shown
An Explainable Machine Learning Framework for Railway Predictive Maintenance using Data Streams from the Metro Operator of Portugal
An Explainable Machine Learning Framework for Railway Predictive Maintenance using Data Streams from the Metro Operator of PortugalScientific Reports (Sci Rep), 2025
Silvia García-Méndez
Francisco de Arriba-Pérez
Fátima Leal
Bruno Veloso
Benedita Malheiro
J. C. Burguillo-Rial
107
9
0
07 Aug 2025
Generating Origin-Destination Matrices in Neural Spatial Interaction
  Models
Generating Origin-Destination Matrices in Neural Spatial Interaction ModelsNeural Information Processing Systems (NeurIPS), 2024
Ioannis Zachos
Mark Girolami
Theodoros Damoulas
222
3
0
09 Oct 2024
Enhancing Global Maritime Traffic Network Forecasting with
  Gravity-Inspired Deep Learning Models
Enhancing Global Maritime Traffic Network Forecasting with Gravity-Inspired Deep Learning ModelsScientific Reports (Sci Rep), 2024
Ruixin Song
Gabriel Spadon
Ronald Pelot
Stan Matwin
Amilcar Soares
359
10
0
23 Jan 2024
Multi-Path Long-Term Vessel Trajectories Forecasting with Probabilistic
  Feature Fusion for Problem Shifting
Multi-Path Long-Term Vessel Trajectories Forecasting with Probabilistic Feature Fusion for Problem ShiftingOcean Engineering (Ocean Eng.), 2023
Gabriel Spadon
Jay Kumar
Derek Eden
Josh van Berkel
Tom Foster
Amilcar Soares
Ronan Fablet
Stan Matwin
Ronald Pelot
414
12
0
29 Oct 2023
Using machine learning to understand causal relationships between urban
  form and travel CO2 emissions across continents
Using machine learning to understand causal relationships between urban form and travel CO2 emissions across continents
Felix Wagner
Florian Nachtigall
Lukas Franken
Nikola Milojevic-Dupont
R. Pereira
Nicolas Koch
J. Runge
Marta C. González
F. Creutzig
AI4CE
279
1
0
31 Aug 2023
Origin-Destination Network Generation via Gravity-Guided GAN
Origin-Destination Network Generation via Gravity-Guided GAN
Can Rong
Huandong Wang
Yong Li
211
13
0
06 Jun 2023
From Cities to Series: Complex Networks and Deep Learning for Improved
  Spatial and Temporal Analytics*
From Cities to Series: Complex Networks and Deep Learning for Improved Spatial and Temporal Analytics*
Gabriel Spadon
José F. Rodrigues
GNNHAI
140
0
0
01 Jun 2022
Learning Geo-Contextual Embeddings for Commuting Flow Prediction
Learning Geo-Contextual Embeddings for Commuting Flow PredictionAAAI Conference on Artificial Intelligence (AAAI), 2020
Zhicheng Liu
Fabio Miranda
Weiting Xiong
Junyan Yang
Qiao Wang
Claudio T. Silva
AI4TS
240
90
0
04 May 2020
1
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