Marco Veloso

Orcid: 0000-0001-5925-8442

According to our database1, Marco Veloso authored at least 23 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
A scalable digital twin for vertical farming.
J. Ambient Intell. Humaniz. Comput., October, 2023

Sensing Mobility and Routine Locations through Mobile Phone and Crowdsourced Data: Analyzing Travel and Behavior during COVID-19.
ISPRS Int. J. Geo Inf., July, 2023

Using CDR Data to Understand Post-pandemic Mobility Patterns.
Proceedings of the Progress in Artificial Intelligence, 2023

2022
Identification and Classification of Routine Locations Using Anonymized Mobile Communication Data.
ISPRS Int. J. Geo Inf., 2022

Generating the Users Geographic Map Using Mobile Phone Data.
Proceedings of the Progress in Artificial Intelligence, 2022

2021
Modeling Location Choice of Taxi Drivers for Passenger Pickup Using GPS Data.
IEEE Intell. Transp. Syst. Mag., 2021

2019
Constructing Time-Dependent Origin-Destination Matrices With Adaptive Zoning Scheme and Measuring Their Similarities With Taxi Trajectory Data.
IEEE Access, 2019

How the Quality of Call Detail Records Influences the Detection of Commuting Trips.
Proceedings of the Progress in Artificial Intelligence, 2019

2018
Towards Sustainable Digital Twins for Vertical Farming.
Proceedings of the 2018 Thirteenth International Conference on Digital Information Management (ICDIM), 2018

2016
Inferring exhaust gases levels using taxi service and meteorological Data: An experiment in the city of Porto, Portugal.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

Mining taxi data for describing city in the context of mobility, sociality, and environment: Lessons learned.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

Visualization tool for taxi usage analysis: a case study of lisbon, portugal.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers, 2016

2015
Predictability of Public Transport Usage: A Study of Bus Rides in Lisbon, Portugal.
IEEE Trans. Intell. Transp. Syst., 2015

A tool for exploratory visualization of bus mobility and ridership: a case study of Lisbon, Portugal.
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015

2014
Catch me if you can: Predicting mobility patterns of public transport users.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

2013
Exploring relationship between taxi volume and flue gases' concentrations.
Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013

Mining temporal patterns of transport behaviour for predicting future transport usage.
Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013

Gaussian process-based predictive modeling for bus ridership.
Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013

2012
Exploring the relationship between mobile phone call intensity and taxi volume in urban area.
Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems, 2012

2011
Sensing urban mobility with taxi flow.
Proceedings of the 2011 International Workshop on Location Based Social Networks, 2011

2010
Taxi-Aware Map: Identifying and Predicting Vacant Taxis in the City.
Proceedings of the Ambient Intelligence, 2010

2007
A Study on the Suitability of GSM Signatures for Indoor Location.
Proceedings of the Ambient Intelligence, European Conference, 2007

2005
A Case-Based Approach for Indoor Location.
Proceedings of the Case-Based Reasoning, 2005


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