Developing Dynamic Reports Using Rich Internet Applications. - Luís Moreira-Matias (CENTERIS (2), 2010)

Online Predictive Model for Taxi Services. - Luís Moreira-Matias; João Gama 001; Michel Ferreira; João Mendes-Moreira 001; Luís Damas (IDA, 2012)

Bus Bunching Detection by Mining Sequences of Headway Deviations. - Luís Moreira-Matias; Carlos Abreu Ferreira; João Gama 001; João Mendes-Moreira 001; Jorge Freire de Sousa (ICDM, 2012)

A predictive model for the passenger demand on a taxi network. - Luís Moreira-Matias; João Gama 001; Michel Ferreira; Luís Damas (ITSC, 2012)

Text Categorization Using an Ensemble Classifier Based on a Mean Co-association Matrix. - Luís Moreira-Matias; João Mendes-Moreira 001; João Gama 001; Pavel Brazdil (MLDM, 2012)

Vehicular Sensing: Emergence of a Massive Urban Scanner. - Michel Ferreira; Ricardo Fernandes; Hugo Conceição; Pedro Emanuel Rodrigues Gomes; Pedro M. d'Orey; Luís Moreira-Matias; João Gama 001; Fernanda Lima; Luís Damas (S-CUBE, 2012)

An online recommendation system for the taxi stand choice problem (Poster). - Luís Moreira-Matias; Ricardo Fernandes; João Gama 001; Michel Ferreira; João Mendes-Moreira 001; Luís Damas (VNC, 2012)

On Predicting the Taxi-Passenger Demand: A Real-Time Approach. - Luís Moreira-Matias; João Gama 001; Michel Ferreira; João Mendes-Moreira 001; Luís Damas (EPIA, 2013)

On Recommending Urban Hotspots to Find Our Next Passenger. - Luís Moreira-Matias; Ricardo Fernandes; João Gama 001; Michel Ferreira; João Mendes-Moreira 001; Luís Damas (UDM@IJCAI, 2013)

Predicting Taxi-Passenger Demand Using Streaming Data. - Luís Moreira-Matias; João Gama 001; Michel Ferreira; João Mendes-Moreira 001; Luís Damas (IEEE Trans. Intell. Transp. Syst., 2013)

An Incremental Probabilistic Model to Predict Bus Bunching in Real-Time. - Luís Moreira-Matias; João Gama 001; João Mendes-Moreira 001; Jorge Freire de Sousa (IDA, 2014)

On Predicting a Call Center's Workload: A Discretization-Based Approach. - Luís Moreira-Matias; Rafael Nunes; Michel Ferreira; João Mendes-Moreira 001; João Gama 001 (ISMIS, 2014)

An online learning framework for predicting the taxi stand's profitability. - Luís Moreira-Matias; João Mendes-Moreira 001; Michel Ferreira; João Gama 001; Luís Damas (ITSC, 2014)

Using exit time predictions to optimize self automated parking lots. - Rafael Nunes; Luís Moreira-Matias; Michel Ferreira (ITSC, 2014)

A Scenario-Oriented Approach for Noise Detection on Traffic Flow Data. - Mahsa Francesco Alesiani; Mahsa Faizrahnemoon; Luís Moreira-Matias (ITSC, 2015)

Drift3Flow: Freeway-Incident Prediction Using Real-Time Learning. - Luís Moreira-Matias; Francesco Alesiani (ITSC, 2015)

On Learning from Taxi GPS Traces (Preamble). - João Mendes-Moreira 001; Luís Moreira-Matias (DC@PKDD/ECML, 2015)

Validating the coverage of bus schedules: A Machine Learning approach. - João Mendes-Moreira 001; Luís Moreira-Matias; João Gama 001; Jorge Freire de Sousa (Inf. Sci., 2015)

Improving Mass Transit Operations by Using AVL-Based Systems: A Survey. - Luís Moreira-Matias; João Mendes-Moreira 001; Jorge Freire de Sousa; João Gama 001 (IEEE Trans. Intell. Transp. Syst., 2015)

On Improving Operational Planning and Control in Public Transportation Networks using Streaming Data: A Machine Learning Approach - Luís Moreira-Matias (2015)

Taxi Service Trajectory - Prediction Challenge, ECML PKDD 2015. - Luís Moreira-Matias; Michel Ferreira; João Mendes Moreira 001 (UCI Machine Learning Repository, 2015)

Feature Selection Issues in Long-Term Travel Time Prediction. - Syed Murtaza Hassan; Luís Moreira-Matias; Jihed Khiari; Oded Cats (IDA, 2016)

CJAMmer - traffic JAM Cause Prediction using Boosted Trees. - Luís Moreira-Matias; Vítor Cerqueira (ITSC, 2016)

Automated Setting of Bus Schedule Coverage Using Unsupervised Machine Learning. - Jihed Khiari; Luís Moreira-Matias; Vítor Cerqueira; Oded Cats (PAKDD (1), 2016)

RAVA - Resource aware VNF agnostic NFV orchestration method for virtualized networks. - Faqir Zarrar Yousaf; Carlos Goncalves; Luís Moreira-Matias; Xavier Costa-Pérez (PIMRC, 2016)

Concept Neurons - Handling Drift Issues for Real-Time Industrial Data Mining. - Luís Moreira-Matias; João Gama 001; João Mendes-Moreira 001 (ECML/PKDD (3), 2016)

An online learning approach to eliminate Bus Bunching in real-time. - Luís Moreira-Matias; Oded Cats; João Gama 001; João Mendes-Moreira 001; Jorge Freire de Sousa (Appl. Soft Comput., 2016)

Time-evolving O-D matrix estimation using high-speed GPS data streams. - Luís Moreira-Matias; João Gama 001; Michel Ferreira; João Mendes-Moreira 001; Luís Damas (Expert Syst. Appl., 2016)

A Simple Classification Approach to Traffic Flow State Estimation. - Aitor del Pino Saavedra Hernández; Javier J. Sánchez Medina; Luís Moreira-Matias (EUROCAST (2), 2017)

Topology-regularized universal vector autoregression for traffic forecasting in large urban areas. - Florin Schimbinschi; Luís Moreira-Matias; Xuan Vinh Nguyen; James Bailey 001 (Expert Syst. Appl., 2017)

On Developing a Driver Identification Methodology Using In-Vehicle Data Recorders. - Luís Moreira-Matias; Haneen Farah (IEEE Trans. Intell. Transp. Syst., 2017)

MetaBags: Bagged Meta-Decision Trees for Regression. - Jihed Khiari; Luís Moreira-Matias; Ammar Shaker; Bernard Zenko; Saso Dzeroski (ECML/PKDD (1), 2018)

Robust Continuous Co-Clustering. - Xiao He; Luís Moreira-Matias (CoRR, 2018)

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

Special issue on extracting crowd intelligence from pervasive and social big data. - Leye Wang; Vincent Gauthier; Guanling Chen; Luís Moreira-Matias (J. Ambient Intell. Humaniz. Comput., 2018)

Shared Subway Shuttle Bus Route Planning Based on Transport Data Analytics. - Xiangjie Kong 001; Menglin Li; Tao Tang 007; Kaiqi Tian; Luís Moreira-Matias; Feng Xia 001 (IEEE Trans Autom. Sci. Eng., 2018)

On Learning From Inaccurate and Incomplete Traffic Flow Data. - Francesco Alesiani; Luís Moreira-Matias; Mahsa Faizrahnemoon (IEEE Trans. Intell. Transp. Syst., 2018)

On Evaluating Floating Car Data Quality for Knowledge Discovery. - Vítor Cerqueira; Luís Moreira-Matias; Jihed Khiari; Hans van Lint (IEEE Trans. Intell. Transp. Syst., 2018)

Guest Editorial Special Issue on Knowledge Discovery From Mobility Data for Intelligent Transportation Systems. - Luís Moreira-Matias; João Manuel Portela da Gama; Cristina Olaverri-Monreal; Rahul Nair; Roberto Trasarti (IEEE Trans. Intell. Transp. Syst., 2018)

BRIGHT - Drift-Aware Demand Predictions for Taxi Networks (Extended Abstract). - Amal Saadallah; Luís Moreira-Matias; Ricardo Teixeira Sousa; Jihed Khiari; Erik Jenelius; João Gama 001 (ICDE, 2019)

Shallow Self-learning for Reject Inference in Credit Scoring. - Nikita Kozodoi; Panagiotis Katsas; Stefan Lessmann; Luís Moreira-Matias; Konstantinos Papakonstantinou (ECML/PKDD (3), 2019)

Multi-Scale and Multi-Scope Convolutional Neural Networks for Destination Prediction of Trajectories. - Jianming Lv; Qinghui Sun; Qing Li 001; Luís Moreira-Matias (IEEE Trans. Intell. Transp. Syst., 2020)

BRIGHT - Drift-Aware Demand Predictions for Taxi Networks. - Amal Saadallah; Luís Moreira-Matias; Ricardo Teixeira Sousa; Jihed Khiari; Erik Jenelius; João Gama 001 (IEEE Trans. Knowl. Data Eng., 2020)

Special issue on vehicles as sensing devices: from observations to actionable insights. - Chao Chen; Flora D. Salim; Luís Moreira-Matias; Sha Zhao (J. Ambient Intell. Humaniz. Comput., 2021)

Fighting sampling bias: A framework for training and evaluating credit scoring models. - Nikita Kozodoi; Stefan Lessmann; Morteza Alamgir; Luís Moreira-Matias; Konstantinos Papakonstantinou (Eur. J. Oper. Res., 2025)