João Mendes-Moreira

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 61

Top Topics

Human Activity Recognition

Top Venues

Publications

Aníbal Silva, João Mendes-Moreira, Carlos Ferreira, Nuno Costa, Duarte Dias
Map-matching methods in agriculture. Comput. Electron. Agric. 216 (2024)
Tiago Mendes-Neves, Luís Meireles, João Mendes-Moreira
A Survey of Advanced Computer Vision Techniques for Sports. CoRR (2023)
Manish Bhanu, Shalini Priya, João Mendes-Moreira, Joydeep Chandra
P: Spatio-Temporal aggregator predictor model for multi-step taxi-demand prediction in cities. Appl. Intell. 53 (2) (2023)
Manish Bhanu, Rahul Kumar, Saswata Roy, João Mendes-Moreira, Joydeep Chandra
Graph Multi-Head Convolution for Spatio-Temporal Attention in Origin Destination Tensor Prediction. PAKDD (1) (2022)
João Mendes-Moreira, Filipa Pardelha, Cátia Laranjeira, Filipa Pereira, Joana Novais, Paulo Lopes, António Antunes, Elsa Cardoso
Development of Plan S monitoring and compliance tool in the context of PTCRIS for Portuguese National Science Foundation. CRIS (2022)
Cátia Laranjeira, Joana Nabais, Daniel Gomes, Pedro Lopes, João Mendes-Moreira
Developing a national science & technology funding registry in Portugal. CRIS (2022)
Maria Pedroto, Alípio Jorge, João Mendes-Moreira, Teresa Coelho
Improving the Prediction of Age of Onset of TTR-FAP Patients Using Graph-Embedding Features. EPIA (2022)
Pedro Strecht, João Mendes-Moreira, Carlos Soares
Density Estimation in High-Dimensional Spaces: A Multivariate Histogram Approach. ADMA (2) (2022)
Tiago Mendes-Neves, Luís Meireles, João Mendes-Moreira
Valuing Players Over Time. CoRR (2022)
Murilo Couceiro, Inês Rito Lima, Alexandre Ulisses, Tiago Mendes-Neves, João Mendes-Moreira
Tracking Data Visual Representations for Sports Broadcasting Enrichment. icSPORTS (2022)
Diogo Seca, João Mendes-Moreira
Benchmark of Encoders of Nominal Features for Regression. WorldCIST (1) (2021)
André Sousa, João Pascoal Faria, João Mendes-Moreira, Duarte Gomes, Pedro Castro Henriques, Ricardo Graça
Applying Machine Learning to Risk Assessment in Software Projects. PKDD/ECML Workshops (2) (2021)
André Sousa, João Pascoal Faria, João Mendes-Moreira
An Analysis of the State of the Art of Machine Learning for Risk Assessment in Software Projects (S). SEKE (2021)
Tiago Mendes-Neves, João Mendes-Moreira, Rosaldo J. F. Rossetti
A Data-Driven Simulator for Assessing Decision-Making in Soccer. EPIA (2021)
Kemilly Dearo Garcia, Cláudio Rebelo de Sá, Mannes Poel, Tiago Carvalho, João Mendes-Moreira, João M. P. Cardoso, André C. P. L. F. de Carvalho, Joost N. Kok
An ensemble of autonomous auto-encoders for human activity recognition. Neurocomputing 439 (2021)
Pedro Miranda, João Pascoal Faria, Filipe Figueiredo Correia, Ahmed Fares, Ricardo Graça, João Mendes-Moreira
An analysis of Monte Carlo simulations for forecasting software projects. SAC (2021)
Manish Bhanu, João Mendes-Moreira, Joydeep Chandra
Embedding Traffic Network Characteristics Using Tensor for Improved Traffic Prediction. IEEE Trans. Intell. Transp. Syst. 22 (6) (2021)
Ahmed Fares, Fábio Vasconcelos, João Mendes-Moreira, Carlos Abreu Ferreira
Predicting Predawn Leaf Water Potential up to Seven Days Using Machine Learning. EPIA (2021)
Akilu Rilwan Muhammad, Ana Aguiar, João Mendes-Moreira
Transportation Mode Detection from GPS data: A Data Science Benchmark study. ITSC (2021)
André Baptista, Yassine Baghoussi, Carlos Soares, João Mendes-Moreira, Miguel Arantes
Pastprop-RNN: improved predictions of the future by correcting the past. CoRR (2021)
Pedro Strecht, João Mendes-Moreira, Carlos Soares
Inmplode: A framework to interpret multiple related rule-based models. Expert Syst. J. Knowl. Eng. 38 (6) (2021)
Tiago Mendes-Neves, João Mendes-Moreira
Comparing State-of-the-Art Neural Network Ensemble Methods in Soccer Predictions. ISMIS (2020)
Paulo J. S. Ferreira, João M. P. Cardoso, João Mendes-Moreira
kNN Prototyping Schemes for Embedded Human Activity Recognition with Online Learning. Comput. 9 (4) (2020)
Diogo Seca, João Mendes-Moreira, Tiago Mendes-Neves, Ricardo Sousa
Hierarchical Qualitative Clustering - clustering mixed datasets with critical qualitative information. CoRR (2020)
Yassine Baghoussi, João Mendes-Moreira, Nuno Moniz, Carlos Soares
Underground Train Tracking using Mobile Phone Accelerometer Data. ITSC (2020)
João Mendes-Moreira, Mitra Baratchi
Reconciling Predictions in the Regression Setting: An Application to Bus Travel Time Prediction. IDA (2020)
Ricardo M. C. Magalhães, João M. P. Cardoso, João Mendes-Moreira
Energy Efficient Smartphone-Based Users Activity Classification. EPIA (2) (2019)
José Carlos Coutinho, João Mendes-Moreira, Cláudio Rebelo de Sá
UnFOOT: Unsupervised Football Analytics Tool. ECML/PKDD (3) (2019)
Diana Gomes, João Mendes-Moreira, Inês Sousa, Joana Silva
Eating and Drinking Recognition in Free-Living Conditions for Triggering Smart Reminders. Sensors 19 (12) (2019)
Paulo J. S. Ferreira, Ricardo M. C. Magalhães, Kemilly Dearo Garcia, João M. P. Cardoso, João Mendes-Moreira
An Efficient Scheme for Prototyping kNN in the Context of Real-Time Human Activity Recognition. IDEAL (1) (2019)
José Carlos Coutinho, João Mendes-Moreira, Cláudio Rebelo de Sá
Mining Frequent Distributions in Time Series. IDEAL (2) (2019)
Kemilly Dearo Garcia, Elaine Ribeiro de Faria, Cláudio Rebelo de Sá, João Mendes-Moreira, Charu C. Aggarwal, André C. P. L. F. de Carvalho, Joost N. Kok
Ensemble Clustering for Novelty Detection in Data Streams. DS (2019)
Kemilly Dearo Garcia, Tiago Carvalho, João Mendes-Moreira, João M. P. Cardoso, André C. P. L. F. de Carvalho
A Study on Hyperparameter Configuration for Human Activity Recognition. SOCO (2019)
Paulo J. S. Ferreira, João M. P. Cardoso, João Mendes-Moreira
Automatic Switching Between Video and Audio According to User's Context. EPIA (2) (2019)
Yassine Baghoussi, João Mendes-Moreira
Instance-Based Stacked Generalization for Transfer Learning. IDEAL (1) (2018)
Yassine Baghoussi, João Mendes-Moreira, Michael T. M. Emmerich
Updating a robust optimization model for improving bus schedules. COMSNETS (2018)
Maria Pedroto, Alípio Jorge, João Mendes-Moreira, Teresa Coelho
Predicting Age of Onset in TTR-FAP Patients with Genealogical Features. CBMS (2018)
Manish Bhanu, Shalini Priya, Sourav Kumar Dandapat, Joydeep Chandra, João Mendes-Moreira
Forecasting Traffic Flow in Big Cities Using Modified Tucker Decomposition. ADMA (2018)
Rosana Cavalcante de Oliveira, João Mendes-Moreira, Carlos Abreu Ferreira
Agribusiness Intelligence: Grape Production Forecast Using Data Mining Techniques. WorldCIST (3) (2018)
Manish Bhanu, Joydeep Chandra, João Mendes-Moreira
Enhancing traffic model of big cities: Network skeleton & reciprocity. COMSNETS (2018)
Kemilly Dearo Garcia, André C. P. L. F. de Carvalho, João Mendes-Moreira
A Cluster-Based Prototype Reduction for Online Classification. IDEAL (1) (2018)
Pedro Strecht, João Mendes-Moreira, Carlos Soares
Generalizing Knowledge in Decentralized Rule-Based Models. DMLE/IOTSTREAMING@PKDD/ECML (2018)
Pedro Strecht, João Mendes-Moreira, Carlos Soares
A Framework for Analytical Approaches to Combine Interpretable Models. SIMBig (2018)
Kemilly Dearo Garcia, Tiago Carvalho, João Mendes-Moreira, João M. P. Cardoso, André C. P. L. F. de Carvalho
A Preliminary Study on Hyperparameter Configuration for Human Activity Recognition. CoRR (2018)
Paulo Barbosa, Kemilly Dearo Garcia, João Mendes-Moreira, André C. P. L. F. de Carvalho
Unsupervised Domain Adaptation for Human Activity Recognition. IDEAL (1) (2018)
Maria Pedroto, Alípio Jorge, João Mendes-Moreira, Teresa Coelho
Impact of Genealogical Features in Transthyretin Familial Amyloid Polyneuropathy Age of Onset Prediction. PACBB (2018)
Fábio Pinto, Vítor Cerqueira, Carlos Soares, João Mendes-Moreira
autoBagging: Learning to Rank Bagging Workflows with Metalearning. CoRR (2017)
Fábio Pinto, Vítor Cerqueira, Carlos Soares, João Mendes-Moreira
autoBagging: Learning to Rank Bagging Workflows with Metalearning. AutoML@PKDD/ECML (2017)
João Mendes-Moreira, Cátia Laranjeira, José Carvalho, Fernando Ribeiro, Paulo Lopes, Paulo Graça
Integrating a National Network of Institutional Repositories into the National/International Research Management Ecosystem. CRIS (2016)
Hugo Louro Cardoso, João Mendes-Moreira
Human Activity Recognition by Means of Online Semi-supervised Learning. MDM (Workshops) (2016)
Georgina Esteves, João Mendes-Moreira
Churn perdiction in the telecom business. ICDIM (2016)
Fábio Pinto, Carlos Soares, João Mendes-Moreira
CHADE: Metalearning with Classifier Chains for Dynamic Combination of Classifiers. ECML/PKDD (1) (2016)
Hugo Louro Cardoso, João Mendes-Moreira
Improving Human Activity Classification through Online Semi-Supervised Learning. STREAMEVOLV@ECML-PKDD (2016)
Manuel Mourato, João Mendes-Moreira, Tânia Correia
Online Failure Prevention from Connected Heating Systems. STREAMEVOLV@ECML-PKDD (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)
Pedro Meneses Henriques, João Mendes-Moreira
Combining recommendation systems with a dynamic weighted technique. ICDIM (2016)
Gonçalo Pereira, João Mendes-Moreira
Monitoring Clusters in the Telecom Industry. WorldCIST (2) (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)
José Carvalho, Cátia Laranjeira, Vasco Vaz, João Mendes-Moreira
Monitoring a National Open Access Funder Mandate. CRIS (2016)
Fábio Pinto, Carlos Soares, João Mendes-Moreira
Towards Automatic Generation of Metafeatures. PAKDD (1) (2016)
João Mendes-Moreira, Alípio Mário Jorge, Jorge Freire de Sousa, Carlos Soares
Improving the accuracy of long-term travel time prediction using heterogeneous ensembles. Neurocomputing 150 (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)
Pedro Strecht, Luis Cruz, Carlos Soares, João Mendes-Moreira, Rui Abreu
A Comparative Study of Regression and Classification Algorithms for Modelling Students' Academic Performance. EDM (2015)
João Mendes-Moreira, Luís Moreira-Matias
On Learning from Taxi GPS Traces (Preamble). DC@PKDD/ECML (2015)
Fábio Pinto, Carlos Soares, João Mendes-Moreira
Pruning Bagging Ensembles with Metalearning. MCS (2015)
Jorge Freire de Sousa, João Mendes-Moreira
Urban Logistics Integrated in a Multimodal Mobility System. ITSC (2015)
Pedro Henriques Abreu, Daniel Castro Silva, João Portela, João Mendes-Moreira, Luís Paulo Reis
Using model-based collaborative filtering techniques to recommend the expected best strategy to defeat a simulated soccer opponent. Intell. Data Anal. 18 (5) (2014)
Pedro Strecht, João Mendes-Moreira, Carlos Soares
Merging Decision Trees: A Case Study in Predicting Student Performance. ADMA (2014)
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)
Fábio Pinto, Carlos Soares, João Mendes-Moreira
A Framework To Decompose And Develop Metafeatures. MetaSel@ECAI (2014)
Pedro Henriques Abreu, Daniel Castro Silva, Fernando Almeida, João Mendes-Moreira
Improving a simulated soccer team's performance through a Memory-Based Collaborative Filtering approach. Appl. Soft Comput. 23 (2014)
Fábio Pinto, Carlos Soares, João Mendes-Moreira
An Empirical Methodology to Analyze the Behavior of Bagging. ADMA (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)
Pedro Henriques Abreu, Daniel Castro Silva, João Mendes-Moreira, Luís Paulo Reis, Júlio Garganta
Using Multivariate Adaptive Regression Splines in the Construction of Simulated Soccer Team's Behavior Models. Int. J. Comput. Intell. Syst. 6 (5) (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)
João Mendes-Moreira, Carlos Soares, Alípio Mário Jorge, Jorge Freire de Sousa
Ensemble approaches for regression: A survey. ACM Comput. Surv. 45 (1) (2012)
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)
João Mendes-Moreira, Alípio Mário Jorge, Jorge Freire de Sousa, Carlos Soares
Comparing state-of-the-art regression methods for long term travel time prediction. Intell. Data Anal. 16 (3) (2012)
Alípio Mário Jorge, João Mendes-Moreira, Jorge Freire de Sousa, Carlos Soares, Paulo J. Azevedo
Finding Interesting Contexts for Explaining Deviations in Bus Trip Duration Using Distribution Rules. IDA (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 Matias, João Gama, João Mendes-Moreira, Jorge Freire de Sousa
Validation of both number and coverage of bus schedules using AVL data. ITSC (2010)
João Mendes-Moreira, Carlos Soares, Alípio Mário Jorge, Jorge Freire de Sousa
The Effect of Varying Parameters and Focusing on Bus Travel Time Prediction. PAKDD (2009)
João Mendes-Moreira, Alípio Mário Jorge, Carlos Soares, Jorge Freire de Sousa
Ensemble Learning: A Study on Different Variants of the Dynamic Selection Approach. MLDM (2009)
João Mendes-Moreira, Alípio Mário Jorge, Carlos Soares, Jorge Freire de Sousa
Improving SVM-Linear Predictions Using CART for Example Selection. ISMIS (2006)