Luís Moreira-Matias

Orcid: 0000-0003-3863-6357

According to our database1, Luís Moreira-Matias authored at least 44 papers between 2010 and 2021.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Bibliography

2021
Special issue on vehicles as sensing devices: from observations to actionable insights.
J. Ambient Intell. Humaniz. Comput., 2021

2020
BRIGHT - Drift-Aware Demand Predictions for Taxi Networks.
IEEE Trans. Knowl. Data Eng., 2020

Multi-Scale and Multi-Scope Convolutional Neural Networks for Destination Prediction of Trajectories.
IEEE Trans. Intell. Transp. Syst., 2020

2019
Shallow Self-learning for Reject Inference in Credit Scoring.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

BRIGHT - Drift-Aware Demand Predictions for Taxi Networks (Extended Abstract).
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018
Guest Editorial Special Issue on Knowledge Discovery From Mobility Data for Intelligent Transportation Systems.
IEEE Trans. Intell. Transp. Syst., 2018

On Evaluating Floating Car Data Quality for Knowledge Discovery.
IEEE Trans. Intell. Transp. Syst., 2018

On Learning From Inaccurate and Incomplete Traffic Flow Data.
IEEE Trans. Intell. Transp. Syst., 2018

Shared Subway Shuttle Bus Route Planning Based on Transport Data Analytics.
IEEE Trans Autom. Sci. Eng., 2018

Special issue on extracting crowd intelligence from pervasive and social big data.
J. Ambient Intell. Humaniz. Comput., 2018

ITSS Technical Activities Spotlight: Getting to Know the Big Data and AI for Mobility Technical Committee [Technical Activities].
IEEE Intell. Transp. Syst. Mag., 2018

Robust Continuous Co-Clustering.
CoRR, 2018

MetaBags: Bagged Meta-Decision Trees for Regression.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

2017
On Developing a Driver Identification Methodology Using In-Vehicle Data Recorders.
IEEE Trans. Intell. Transp. Syst., 2017

Topology-regularized universal vector autoregression for traffic forecasting in large urban areas.
Expert Syst. Appl., 2017

A Simple Classification Approach to Traffic Flow State Estimation.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

2016
Time-evolving O-D matrix estimation using high-speed GPS data streams.
Expert Syst. Appl., 2016

An online learning approach to eliminate Bus Bunching in real-time.
Appl. Soft Comput., 2016

Concept Neurons - Handling Drift Issues for Real-Time Industrial Data Mining.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

RAVA - Resource aware VNF agnostic NFV orchestration method for virtualized networks.
Proceedings of the 27th IEEE Annual International Symposium on Personal, 2016

Automated Setting of Bus Schedule Coverage Using Unsupervised Machine Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

CJAMmer - traffic JAM Cause Prediction using Boosted Trees.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

Feature Selection Issues in Long-Term Travel Time Prediction.
Proceedings of the Advances in Intelligent Data Analysis XV - 15th International Symposium, 2016

2015
Taxi Service Trajectory - Prediction Challenge, ECML PKDD 2015.
Dataset, July, 2015

On Improving Operational Planning and Control in Public Transportation Networks using Streaming Data: A Machine Learning Approach
PhD thesis, 2015

Improving Mass Transit Operations by Using AVL-Based Systems: A Survey.
IEEE Trans. Intell. Transp. Syst., 2015

Validating the coverage of bus schedules: A Machine Learning approach.
Inf. Sci., 2015

On Learning from Taxi GPS Traces (Preamble).
Proceedings of the ECML/PKDD 2015 Discovery Challenges co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2015), 2015

Drift3Flow: Freeway-Incident Prediction Using Real-Time Learning.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

A Scenario-Oriented Approach for Noise Detection on Traffic Flow Data.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

2014
Using exit time predictions to optimize self automated parking lots.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

An online learning framework for predicting the taxi stand's profitability.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

On Predicting a Call Center's Workload: A Discretization-Based Approach.
Proceedings of the Foundations of Intelligent Systems - 21st International Symposium, 2014

An Incremental Probabilistic Model to Predict Bus Bunching in Real-Time.
Proceedings of the Advances in Intelligent Data Analysis XIII, 2014

2013
Predicting Taxi-Passenger Demand Using Streaming Data.
IEEE Trans. Intell. Transp. Syst., 2013

On Recommending Urban Hotspots to Find Our Next Passenger.
Proceedings of the 3rd Workshop on Ubiquitous Data Mining co-located with the 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), 2013

On Predicting the Taxi-Passenger Demand: A Real-Time Approach.
Proceedings of the Progress in Artificial Intelligence, 2013

2012
An online recommendation system for the taxi stand choice problem (Poster).
Proceedings of the 2012 IEEE Vehicular Networking Conference, 2012

Vehicular Sensing: Emergence of a Massive Urban Scanner.
Proceedings of the Sensor Systems and Software - Third International ICST Conference, 2012

Text Categorization Using an Ensemble Classifier Based on a Mean Co-association Matrix.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2012

A predictive model for the passenger demand on a taxi network.
Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems, 2012

Bus Bunching Detection by Mining Sequences of Headway Deviations.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2012

Online Predictive Model for Taxi Services.
Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012

2010
Developing Dynamic Reports Using Rich Internet Applications.
Proceedings of the ENTERprise Information Systems - International Conference, 2010


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