Improving SVM-Linear Predictions Using CART for Example Selection. - João Mendes-Moreira 001; Alípio Mário Jorge; Carlos Soares; Jorge Freire de Sousa (ISMIS, 2006)

Ensemble Learning: A Study on Different Variants of the Dynamic Selection Approach. - João Mendes-Moreira 001; Alípio Mário Jorge; Carlos Soares; Jorge Freire de Sousa (MLDM, 2009)

The Effect of Varying Parameters and Focusing on Bus Travel Time Prediction. - João Mendes-Moreira 001; Carlos Soares; Alípio Mário Jorge; Jorge Freire de Sousa (PAKDD, 2009)

Validation of both number and coverage of bus schedules using AVL data. - Luís Matias; João Gama 001; João Mendes-Moreira 001; Jorge Freire de Sousa (ITSC, 2010)

Finding Interesting Contexts for Explaining Deviations in Bus Trip Duration Using Distribution Rules. - Alípio Mário Jorge; João Mendes-Moreira 001; Jorge Freire de Sousa; Carlos Soares; Paulo J. Azevedo (IDA, 2012)

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)

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)

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)

Ensemble approaches for regression: A survey. - João Mendes-Moreira 001; Carlos Soares; Alípio Mário Jorge; Jorge Freire de Sousa (ACM Comput. Surv., 2012)

Comparing state-of-the-art regression methods for long term travel time prediction. - João Mendes-Moreira 001; Alípio Mário Jorge; Jorge Freire de Sousa; Carlos Soares (Intell. Data Anal., 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)

Using Multivariate Adaptive Regression Splines in the Construction of Simulated Soccer Team's Behavior Models. - Pedro Henriques Abreu; Daniel Castro Silva; João Mendes-Moreira 001; Luís Paulo Reis; Júlio Garganta (Int. J. Comput. Intell. Syst., 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 Empirical Methodology to Analyze the Behavior of Bagging. - Fábio Pinto; Carlos Soares; João Mendes-Moreira 001 (ADMA, 2014)

Merging Decision Trees: A Case Study in Predicting Student Performance. - Pedro Strecht; João Mendes-Moreira 001; Carlos Soares (ADMA, 2014)

A Framework To Decompose And Develop Metafeatures. - Fábio Pinto; Carlos Soares; João Mendes-Moreira 001 (MetaSel@ECAI, 2014)

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)

Improving a simulated soccer team's performance through a Memory-Based Collaborative Filtering approach. - Pedro Henriques Abreu; Daniel Castro Silva; Fernando Almeida; João Mendes-Moreira 001 (Appl. Soft Comput., 2014)

Using model-based collaborative filtering techniques to recommend the expected best strategy to defeat a simulated soccer opponent. - Pedro Henriques Abreu; Daniel Castro Silva; João Portela; João Mendes-Moreira 001; Luís Paulo Reis (Intell. Data Anal., 2014)

A Comparative Study of Regression and Classification Algorithms for Modelling Students' Academic Performance. - Pedro Strecht; Luis Cruz 002; Carlos Soares; João Mendes-Moreira 001; Rui Abreu 001 (EDM, 2015)

Urban Logistics Integrated in a Multimodal Mobility System. - Jorge Freire de Sousa; João Mendes-Moreira 001 (ITSC, 2015)

Pruning Bagging Ensembles with Metalearning. - Fábio Pinto; Carlos Soares; João Mendes-Moreira 001 (MCS, 2015)

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

Improving the accuracy of long-term travel time prediction using heterogeneous ensembles. - João Mendes-Moreira 001; Alípio Mário Jorge; Jorge Freire de Sousa; Carlos Soares (Neurocomputing, 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)

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

Churn perdiction in the telecom business. - Georgina Esteves; João Mendes-Moreira 001 (ICDIM, 2016)

Combining recommendation systems with a dynamic weighted technique. - Pedro Meneses Henriques; João Mendes-Moreira 001 (ICDIM, 2016)

Human Activity Recognition by Means of Online Semi-supervised Learning. - Hugo Louro Cardoso; João Mendes-Moreira 001 (MDM (Workshops), 2016)

Towards Automatic Generation of Metafeatures. - Fábio Pinto; Carlos Soares; João Mendes-Moreira 001 (PAKDD (1), 2016)

Improving Human Activity Classification through Online Semi-Supervised Learning. - Hugo Louro Cardoso; João Mendes-Moreira 001 (STREAMEVOLV@ECML-PKDD, 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)

Online Failure Prevention from Connected Heating Systems. - Manuel Mourato; João Mendes-Moreira 001; Tânia Correia (STREAMEVOLV@ECML-PKDD, 2016)

CHADE: Metalearning with Classifier Chains for Dynamic Combination of Classifiers. - Fábio Pinto; Carlos Soares; João Mendes-Moreira 001 (ECML/PKDD (1), 2016)

Monitoring Clusters in the Telecom Industry. - Gonçalo Pereira; João Mendes-Moreira 001 (WorldCIST (2), 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)

autoBagging: Learning to Rank Bagging Workflows with Metalearning. - Fábio Pinto; Vítor Cerqueira; Carlos Soares; João Mendes-Moreira 001 (AutoML@PKDD/ECML, 2017)

Forecasting Traffic Flow in Big Cities Using Modified Tucker Decomposition. - Manish Bhanu; Shalini Priya; Sourav Kumar Dandapat; Joydeep Chandra; João Mendes-Moreira 001 (ADMA, 2018)

Predicting Age of Onset in TTR-FAP Patients with Genealogical Features. - Maria Pedroto; Alípio Jorge; João Mendes-Moreira 001; Teresa Coelho (CBMS, 2018)

Updating a robust optimization model for improving bus schedules. - Yassine Baghoussi; João Mendes-Moreira 001; Michael T. M. Emmerich (COMSNETS, 2018)

Enhancing traffic model of big cities: Network skeleton & reciprocity. - Manish Bhanu; Joydeep Chandra; João Mendes-Moreira 001 (COMSNETS, 2018)

Instance-Based Stacked Generalization for Transfer Learning. - Yassine Baghoussi; João Mendes-Moreira 001 (IDEAL (1), 2018)

Unsupervised Domain Adaptation for Human Activity Recognition. - Paulo Barbosa; Kemilly Dearo Garcia; João Mendes-Moreira 001; André C. P. L. F. de Carvalho (IDEAL (1), 2018)

A Cluster-Based Prototype Reduction for Online Classification. - Kemilly Dearo Garcia; André C. P. L. F. de Carvalho; João Mendes-Moreira 001 (IDEAL (1), 2018)

Impact of Genealogical Features in Transthyretin Familial Amyloid Polyneuropathy Age of Onset Prediction. - Maria Pedroto; Alípio Jorge; João Mendes-Moreira 001; Teresa Coelho (PACBB, 2018)

Generalizing Knowledge in Decentralized Rule-Based Models. - Pedro Strecht; João Mendes-Moreira 001; Carlos Soares (DMLE/IOTSTREAMING@PKDD/ECML, 2018)

A Framework for Analytical Approaches to Combine Interpretable Models. - Pedro Strecht; João Mendes-Moreira 001; Carlos Soares (SIMBig, 2018)

Agribusiness Intelligence: Grape Production Forecast Using Data Mining Techniques. - Rosana Cavalcante de Oliveira; João Mendes-Moreira 001; Carlos Abreu Ferreira (WorldCIST (3), 2018)

A Preliminary Study on Hyperparameter Configuration for Human Activity Recognition. - Kemilly Dearo Garcia; Tiago Carvalho 001; João Mendes-Moreira 001; João M. P. Cardoso; André C. P. L. F. de Carvalho (CoRR, 2018)

Ensemble Clustering for Novelty Detection in Data Streams. - Kemilly Dearo Garcia; Elaine Ribeiro de Faria; Cláudio Rebelo de Sá; João Mendes-Moreira 001; Charu C. Aggarwal; André C. P. L. F. de Carvalho; Joost N. Kok (DS, 2019)

Automatic Switching Between Video and Audio According to User's Context. - Paulo J. S. Ferreira; João M. P. Cardoso; João Mendes-Moreira 001 (EPIA (2), 2019)

Energy Efficient Smartphone-Based Users Activity Classification. - Ricardo M. C. Magalhães; João M. P. Cardoso; João Mendes-Moreira 001 (EPIA (2), 2019)

Mining Frequent Distributions in Time Series. - José Carlos Coutinho; João Mendes Moreira 001; Cláudio Rebelo de Sá (IDEAL (2), 2019)

An Efficient Scheme for Prototyping kNN in the Context of Real-Time Human Activity Recognition. - Paulo J. S. Ferreira; Ricardo M. C. Magalhães; Kemilly Dearo Garcia; João M. P. Cardoso; João Mendes-Moreira 001 (IDEAL (1), 2019)

UnFOOT: Unsupervised Football Analytics Tool. - José Carlos Coutinho; João Mendes-Moreira 001; Cláudio Rebelo de Sá (ECML/PKDD (3), 2019)

A Study on Hyperparameter Configuration for Human Activity Recognition. - Kemilly Dearo Garcia; Tiago Carvalho 001; João Mendes-Moreira 001; João M. P. Cardoso; André C. P. L. F. de Carvalho (SOCO, 2019)

Eating and Drinking Recognition in Free-Living Conditions for Triggering Smart Reminders. - Diana Gomes; João Mendes-Moreira 001; Inês Sousa; Joana Silva 001 (Sensors, 2019)

Reconciling Predictions in the Regression Setting: An Application to Bus Travel Time Prediction. - João Mendes-Moreira 001; Mitra Baratchi (IDA, 2020)

Comparing State-of-the-Art Neural Network Ensemble Methods in Soccer Predictions. - Tiago Mendes-Neves; João Mendes-Moreira 001 (ISMIS, 2020)

Underground Train Tracking using Mobile Phone Accelerometer Data. - Yassine Baghoussi; João Mendes-Moreira 001; Nuno Moniz; Carlos Soares (ITSC, 2020)

kNN Prototyping Schemes for Embedded Human Activity Recognition with Online Learning. - Paulo J. S. Ferreira; João M. P. Cardoso; João Mendes-Moreira 001 (Comput., 2020)

Hierarchical Qualitative Clustering - clustering mixed datasets with critical qualitative information. - Diogo Seca; João Mendes-Moreira 001; Tiago Mendes-Neves; Ricardo Teixeira Sousa (CoRR, 2020)

Predicting Predawn Leaf Water Potential up to Seven Days Using Machine Learning. - Ahmed Fares; Fábio Vasconcelos; João Mendes-Moreira 001; Carlos Abreu Ferreira (EPIA, 2021)

A Data-Driven Simulator for Assessing Decision-Making in Soccer. - Tiago Mendes-Neves; João Mendes-Moreira 001; Rosaldo J. F. Rossetti (EPIA, 2021)

Transportation Mode Detection from GPS data: A Data Science Benchmark study. - Akilu Rilwan Muhammad; Ana Aguiar; João Mendes-Moreira 001 (ITSC, 2021)

Applying Machine Learning to Risk Assessment in Software Projects. - André Sousa; João Pascoal Faria; João Mendes-Moreira 001; Duarte Gomes; Pedro Castro Henriques; Ricardo Graça (PKDD/ECML Workshops (2), 2021)

An analysis of Monte Carlo simulations for forecasting software projects. - Pedro Miranda; João Pascoal Faria; Filipe Figueiredo Correia; Ahmed Fares; Ricardo Graça; João Mendes Moreira 001 (SAC, 2021)

An Analysis of the State of the Art of Machine Learning for Risk Assessment in Software Projects (S). - André Sousa; João Pascoal Faria; João Mendes-Moreira 001 (SEKE, 2021)

Benchmark of Encoders of Nominal Features for Regression. - Diogo Seca; João Mendes-Moreira 001 (WorldCIST (1), 2021)

Pastprop-RNN: improved predictions of the future by correcting the past. - André Baptista; Yassine Baghoussi; Carlos Soares; João Mendes-Moreira 001; Miguel Arantes (CoRR, 2021)

Inmplode: A framework to interpret multiple related rule-based models. - Pedro Strecht; João Mendes-Moreira 001; Carlos Soares (Expert Syst. J. Knowl. Eng., 2021)

An ensemble of autonomous auto-encoders for human activity recognition. - Kemilly Dearo Garcia; Cláudio Rebelo de Sá; Mannes Poel; Tiago Carvalho 001; João Mendes-Moreira 001; João M. P. Cardoso; André C. P. L. F. de Carvalho; Joost N. Kok (Neurocomputing, 2021)

Embedding Traffic Network Characteristics Using Tensor for Improved Traffic Prediction. - Manish Bhanu; João Mendes-Moreira 001; Joydeep Chandra (IEEE Trans. Intell. Transp. Syst., 2021)

Density Estimation in High-Dimensional Spaces: A Multivariate Histogram Approach. - Pedro Strecht; João Mendes-Moreira 001; Carlos Soares (ADMA (2), 2022)

Improving the Prediction of Age of Onset of TTR-FAP Patients Using Graph-Embedding Features. - Maria Pedroto; Alípio Jorge; João Mendes-Moreira 001; Teresa Coelho (EPIA, 2022)

Tracking Data Visual Representations for Sports Broadcasting Enrichment. - Murilo Couceiro; Inês Rito Lima; Alexandre Ulisses; Tiago Mendes-Neves; João Mendes-Moreira 001 (icSPORTS, 2022)

Probabilistic Metric to measure the imbalance in multi-class problems. - Solander Patricio Lopes Agostinho; João Mendes-Moreira 001 (LIDTA, 2022)

Graph Multi-Head Convolution for Spatio-Temporal Attention in Origin Destination Tensor Prediction. - Manish Bhanu; Rahul Kumar 010; Saswata Roy; João Mendes-Moreira 001; Joydeep Chandra (PAKDD (1), 2022)

Valuing Players Over Time. - Tiago Mendes-Neves; Luís Meireles; João Mendes-Moreira 001 (CoRR, 2022)

Symbolic Data Analysis to Improve Completeness of Model Combination Methods. - Pedro Strecht; João Mendes-Moreira 001; Carlos Soares (AI (2), 2023)

Studying the Impact of Sampling in Highly Frequent Time Series. - Paulo J. S. Ferreira; João Mendes-Moreira 001; Arlete Rodrigues (EPIA (1), 2023)

Combining Neighbor Models to Improve Predictions of Age of Onset of ATTRv Carriers. - Maria Pedroto; Alípio Jorge; João Mendes-Moreira 001; Teresa Coelho (EPIA (2), 2023)

Interpreting What is Important: An Explainability Approach and Study on Feature Selection. - Eduardo M. Rodrigues; Yassine Baghoussi; João Mendes-Moreira 001 (EPIA (1), 2023)

Unsupervised Online Event Ranking for IT Operations. - Tiago Costa Mendes; André Azevedo Barata; Miguel Pereira; João Mendes-Moreira 001; Rui Camacho; Ricardo Teixeira Sousa (IDEAL, 2023)

Inferring Transportation Mode Using Pooled Features from Time and Frequency Domains. - Akilu Rilwan Muhammad; Ana Aguiar; João Mendes Moreira 001 (ITSC, 2023)

A Study on Hyperparameters Configurations for an Efficient Human Activity Recognition System. - Paulo J. S. Ferreira; João Mendes Moreira 001; João M. P. Cardoso (iWOAR, 2023)

Applying Machine Learning to Estimate the Effort and Duration of Individual Tasks in Software Projects. - André Sousa; Daniel T. Veloso; Henrique M. Gonçalves; João Pascoal Faria; João Mendes-Moreira 001; Ricardo Graça; Duarte Gomes; Rui Nuno Castro; Pedro Castro Henriques (IEEE Access, 2023)

ST-AGP: Spatio-Temporal aggregator predictor model for multi-step taxi-demand prediction in cities. - Manish Bhanu; Shalini Priya; João Mendes-Moreira 001; Joydeep Chandra (Appl. Intell., 2023)

A Survey of Advanced Computer Vision Techniques for Sports. - Tiago Mendes-Neves; Luís Meireles; João Mendes-Moreira 001 (CoRR, 2023)

DyGCN-LSTM: A dynamic GCN-LSTM based encoder-decoder framework for multistep traffic prediction. - Rahul Kumar 010; João Mendes-Moreira 001; Joydeep Chandra (Appl. Intell., 2023)

An encoder framework for taxi-demand prediction using spatio-temporal function approximation. - Manish Bhanu; Saswata Roy; Shalini Priya; João Mendes-Moreira 001; Joydeep Chandra (Eng. Appl. Artif. Intell., 2023)

BTS-Z: A Bootstrap Zero-Shot Learning Approach for City Traffic Forecasting. - Rahul Kumar 010; Manish Bhanu; Saswata Roy; João Mendes-Moreira 001; Joydeep Chandra (ANTS, 2024)

Kernel Corrector LSTM. - Rodrigo Tuna; Yassine Baghoussi; Carlos Soares; João Mendes-Moreira 001 (IDA (2), 2024)

Characterising Class Imbalance in Transportation Mode Detection: An Experimental Study. - Akilu Rilwan Muhammad; Ana Aguiar; João Mendes-Moreira 001 (IDEAL (2), 2024)

HiClass4MD: a Hierarchical Classifier for Transportation Mode Detection. - Akilu Rilwan Muhammad; Ana Aguiar; João Mendes-Moreira 001 (ITSC, 2024)

Estimating Completeness of Consensus Models: Geometrical and Distributional Approaches. - Pedro Strecht; João Mendes-Moreira 001; Carlos Soares (LOD (1), 2024)

A Fast and Energy-Efficient Method for Online and Incremental Pareto-Front Update. - Paulo J. S. Ferreira; João Mendes-Moreira 001; João M. P. Cardoso (WF-IoT, 2024)

Estimating Player Performance in Different Contexts Using Fine-tuned Large Events Models. - Tiago Mendes-Neves; Luís Meireles; João Mendes-Moreira 001 (CoRR, 2024)

Towards a Systematic Approach to Design New Ensemble Learning Algorithms. - João Mendes-Moreira 001; Tiago Mendes-Neves (CoRR, 2024)

Forecasting Events in Soccer Matches Through Language. - Tiago Mendes-Neves; Luís Meireles; João Mendes-Moreira 001 (CoRR, 2024)

Map-matching methods in agriculture. - Aníbal Silva; João Mendes-Moreira 001; Carlos Ferreira; Nuno Costa; Duarte Dias (Comput. Electron. Agric., 2024)

Corrector LSTM: built-in training data correction for improved time-series forecasting. - Yassine Baghoussi; Carlos Soares; João Mendes-Moreira 001 (Neural Comput. Appl., 2024)

Spatio-Temporal Parallel Transformer Based Model for Traffic Prediction. - Rahul Kumar 010; João Mendes-Moreira 001; Joydeep Chandra (ACM Trans. Knowl. Discov. Data, 2024)

Towards a foundation large events model for soccer. - Tiago Mendes-Neves; Luís Meireles; João Mendes-Moreira 001 (Mach. Learn., 2024)

A Scalable Approach for Unified Large Events Models in Soccer. - Tiago Mendes-Neves; Luís Meireles; João Mendes-Moreira 001 (ECML/PKDD (10), 2025)

A Neighbor-based Approach to Pitch Ownership Models in Soccer. - Tiago Mendes-Neves; Luís Meireles; João Mendes-Moreira 001 (CoRR, 2025)

Online boxplot derived outlier detection. - Arefeh Mazarei; Ricardo Teixeira Sousa; João Mendes-Moreira 001; Slavo Molchanov; Hugo Miguel Mendes Ferreira (Int. J. Data Sci. Anal., 2025)

Spatio-Temporal Predictive Modeling Techniques for Different Domains: a Survey. - Rahul Kumar 010; Manish Bhanu; João Mendes-Moreira 001; Joydeep Chandra (ACM Comput. Surv., 2025)

Sampling approaches to reduce very frequent seasonal time series. - Afonso Baldo; Paulo J. S. Ferreira; João Mendes-Moreira 001 (Expert Syst. J. Knowl. Eng., 2025)

KDBI special issue: Explainability feature selection framework application for LSTM multivariate time-series forecast self optimization. - Eduardo M. Rodrigues; Yassine Baghoussi; João Mendes-Moreira 001 (Expert Syst. J. Knowl. Eng., 2025)

CSCN: an efficient snapshot ensemble learning based sparse transformer model for long-range spatial-temporal traffic flow prediction. - Rahul Kumar 010; João Mendes-Moreira 001; Joydeep Chandra (Data Min. Knowl. Discov., 2025)