Luís Moreira-Matias

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 25

Top Topics

Extended Abstract

Top Venues

IEEE Trans. Intell. Transp. Syst.

Publications

Nikita Kozodoi, Stefan Lessmann, Morteza Alamgir, Luís Moreira-Matias, Konstantinos Papakonstantinou
Fighting Sampling Bias: A Framework for Training and Evaluating Credit Scoring Models. CoRR (2024)
Chao Chen, Flora Salim, Luís Moreira-Matias, Sha Zhao
Special issue on vehicles as sensing devices: from observations to actionable insights. J. Ambient Intell. Humaniz. Comput. 12 (1) (2021)
Amal Saadallah, Luís Moreira-Matias, Ricardo Sousa, Jihed Khiari, Erik Jenelius, João Gama
BRIGHT - Drift-Aware Demand Predictions for Taxi Networks. IEEE Trans. Knowl. Data Eng. 32 (2) (2020)
Jianming Lv, Qinghui Sun, Qing Li, Luís Moreira-Matias
Multi-Scale and Multi-Scope Convolutional Neural Networks for Destination Prediction of Trajectories. IEEE Trans. Intell. Transp. Syst. 21 (8) (2020)
Nikita Kozodoi, Panagiotis Katsas, Stefan Lessmann, Luís Moreira-Matias, Konstantinos Papakonstantinou
Shallow Self-learning for Reject Inference in Credit Scoring. ECML/PKDD (3) (2019)
Nikita Kozodoi, Panagiotis Katsas, Stefan Lessmann, Luís Moreira-Matias, Konstantinos Papakonstantinou
Shallow Self-Learning for Reject Inference in Credit Scoring. CoRR (2019)
Amal Saadallah, Luís Moreira-Matias, Ricardo Sousa, Jihed Khiari, Erik Jenelius, João Gama
BRIGHT - Drift-Aware Demand Predictions for Taxi Networks (Extended Abstract). ICDE (2019)
Jihed Khiari, Luís Moreira-Matias, Ammar Shaker, Bernard Zenko, Saso Dzeroski
MetaBags: Bagged Meta-Decision Trees for Regression. CoRR (2018)
Leye Wang, Vincent Gauthier, Guanling Chen, Luís Moreira-Matias
Special issue on extracting crowd intelligence from pervasive and social big data. J. Ambient Intell. Humaniz. Comput. 9 (6) (2018)
Jihed Khiari, Luís Moreira-Matias, Ammar Shaker, Bernard Zenko, Saso Dzeroski
MetaBags: Bagged Meta-Decision Trees for Regression. ECML/PKDD (1) (2018)
Luís Moreira-Matias, João Manuel Portela da Gama, Cristina Olaverri-Monreal, Rahul Nair, Roberto Trasarti
Guest Editorial Special Issue on Knowledge Discovery From Mobility Data for Intelligent Transportation Systems. IEEE Trans. Intell. Transp. Syst. 19 (11) (2018)
Vítor Cerqueira, Luís Moreira-Matias, Jihed Khiari, Hans van Lint
On Evaluating Floating Car Data Quality for Knowledge Discovery. IEEE Trans. Intell. Transp. Syst. 19 (11) (2018)
Xiangjie Kong, Menglin Li, Tao Tang, Kaiqi Tian, Luís Moreira-Matias, Feng Xia
Shared Subway Shuttle Bus Route Planning Based on Transport Data Analytics. IEEE Trans Autom. Sci. Eng. 15 (4) (2018)
Francesco Alesiani, Luís Moreira-Matias, Mahsa Faizrahnemoon
On Learning From Inaccurate and Incomplete Traffic Flow Data. IEEE Trans. Intell. Transp. Syst. 19 (11) (2018)
Xiao He, Luís Moreira-Matias
Robust Continuous Co-Clustering. CoRR (2018)
Luís Moreira-Matias
ITSS Technical Activities Spotlight: Getting to Know the Big Data and AI for Mobility Technical Committee [Technical Activities]. IEEE Intell. Transp. Syst. Mag. 10 (3) (2018)
Florin Schimbinschi, Luís Moreira-Matias, Xuan Vinh Nguyen, James Bailey
Topology-regularized universal vector autoregression for traffic forecasting in large urban areas. Expert Syst. Appl. 82 (2017)
Luís Moreira-Matias, Haneen Farah
On Developing a Driver Identification Methodology Using In-Vehicle Data Recorders. IEEE Trans. Intell. Transp. Syst. 18 (9) (2017)
Luís Moreira-Matias, Vítor Cerqueira
CJAMmer - traffic JAM Cause Prediction using Boosted Trees. ITSC (2016)
Jihed Khiari, Luís Moreira-Matias, Vítor Cerqueira, Oded Cats
Automated Setting of Bus Schedule Coverage Using Unsupervised Machine Learning. PAKDD (1) (2016)
Syed Murtaza Hassan, Luís Moreira-Matias, Jihed Khiari, Oded Cats
Feature Selection Issues in Long-Term Travel Time Prediction. IDA (2016)
Luís Moreira-Matias, Oded Cats, João Gama, João Mendes-Moreira, Jorge Freire de Sousa
An online learning approach to eliminate Bus Bunching in real-time. Appl. Soft Comput. 47 (2016)
Luís Moreira-Matias, João Gama, João Mendes-Moreira
Concept Neurons - Handling Drift Issues for Real-Time Industrial Data Mining. ECML/PKDD (3) (2016)
Faqir Zarrar Yousaf, Carlos Goncalves, Luís Moreira-Matias, Xavier Costa-Pérez
RAVA - Resource aware VNF agnostic NFV orchestration method for virtualized networks. PIMRC (2016)
Luís Moreira-Matias, João Gama, Michel Ferreira, João Mendes-Moreira, Luís Damas
Time-evolving O-D matrix estimation using high-speed GPS data streams. Expert Syst. Appl. 44 (2016)
Mahsa Francesco Alesiani, Mahsa Faizrahnemoon, Luís Moreira-Matias
A Scenario-Oriented Approach for Noise Detection on Traffic Flow Data. ITSC (2015)
João Mendes-Moreira, Luís Moreira-Matias, João Gama, Jorge Freire de Sousa
Validating the coverage of bus schedules: A Machine Learning approach. Inf. Sci. 293 (2015)
Luís Moreira-Matias, João Mendes-Moreira, Jorge Freire de Sousa, João Gama
Improving Mass Transit Operations by Using AVL-Based Systems: A Survey. IEEE Trans. Intell. Transp. Syst. 16 (4) (2015)
João Mendes-Moreira, Luís Moreira-Matias
On Learning from Taxi GPS Traces (Preamble). DC@PKDD/ECML (2015)
Luís Moreira-Matias, Francesco Alesiani
Drift3Flow: Freeway-Incident Prediction Using Real-Time Learning. ITSC (2015)
Luís Moreira-Matias, João Mendes-Moreira, Michel Ferreira, João Gama, Luís Damas
An online learning framework for predicting the taxi stand's profitability. ITSC (2014)
Rafael Nunes, Luís Moreira-Matias, Michel Ferreira
Using exit time predictions to optimize self automated parking lots. ITSC (2014)
Luís Moreira-Matias, João Gama, João Mendes-Moreira, Jorge Freire de Sousa
An Incremental Probabilistic Model to Predict Bus Bunching in Real-Time. IDA (2014)
Luís Moreira-Matias, Rafael Nunes, Michel Ferreira, João Mendes-Moreira, João Gama
On Predicting a Call Center's Workload: A Discretization-Based Approach. ISMIS (2014)
Luís Moreira-Matias, João Gama, Michel Ferreira, João Mendes-Moreira, Luís Damas
On Predicting the Taxi-Passenger Demand: A Real-Time Approach. EPIA (2013)
Luís Moreira-Matias, João Gama, Michel Ferreira, João Mendes-Moreira, Luís Damas
Predicting Taxi-Passenger Demand Using Streaming Data. IEEE Trans. Intell. Transp. Syst. 14 (3) (2013)
Luís Moreira-Matias, Ricardo Fernandes, João Gama, Michel Ferreira, João Mendes-Moreira, Luís Damas
On Recommending Urban Hotspots to Find Our Next Passenger. UDM@IJCAI (2013)
Luís Moreira-Matias, Ricardo Fernandes, João Gama, Michel Ferreira, João Mendes-Moreira, Luís Damas
An online recommendation system for the taxi stand choice problem (Poster). VNC (2012)
Michel Ferreira, Ricardo Fernandes, Hugo Conceição, Pedro Emanuel Rodrigues Gomes, Pedro M. d'Orey, Luís Moreira-Matias, João Gama, Fernanda Lima, Luís Damas
Vehicular Sensing: Emergence of a Massive Urban Scanner. S-CUBE (2012)
Luís Moreira-Matias, João Gama, Michel Ferreira, Luís Damas
A predictive model for the passenger demand on a taxi network. ITSC (2012)
Luís Moreira-Matias, Carlos Abreu Ferreira, João Gama, João Mendes-Moreira, Jorge Freire de Sousa
Bus Bunching Detection by Mining Sequences of Headway Deviations. ICDM (2012)
Luís Moreira-Matias, João Gama, Michel Ferreira, João Mendes-Moreira, Luís Damas
Online Predictive Model for Taxi Services. IDA (2012)
Luís Moreira-Matias, João Mendes-Moreira, João Gama, Pavel Brazdil
Text Categorization Using an Ensemble Classifier Based on a Mean Co-association Matrix. MLDM (2012)
Luís Moreira-Matias
Developing Dynamic Reports Using Rich Internet Applications. CENTERIS (2) (2010)