| 2026 | COMPSAC | Runtime-Adaptive Energy-Aware Selection of Configurations for Resource-Constrained Devices. | Paulo J. S. Ferreira, Joo Mendes-Moreira, Joo M. P. Cardoso |
| 2025 | ICDM | Read-write LSTM: A Novel Approach Integrating Backpropagation to Data in LSTM. | Yassine Baghoussi, Carlos Soares, Joo Mendes-Moreira |
| 2025 | IDEAL | Personalized Counterfactual Explanations via Cluster-Based Fine-Tuning of GANs. | Ahmed A. Fares, Joo Mendes-Moreira |
| 2024 | IDA | Kernel Corrector LSTM. | Rodrigo Tuna, Yassine Baghoussi, Carlos Soares, Joo Mendes-Moreira |
| 2024 | IDEAL | Characterising Class Imbalance in Transportation Mode Detection: An Experimental Study. | Akilu Rilwan Muhammad, Ana Aguiar, Joo Mendes-Moreira |
| 2023 | EPIA | Studying the Impact of Sampling in Highly Frequent Time Series. | Paulo J. S. Ferreira, Joo Mendes-Moreira, Arlete Rodrigues |
| 2023 | EPIA | Combining Neighbor Models to Improve Predictions of Age of Onset of ATTRv Carriers. | Maria Pedroto, Alpio Jorge, Joo Mendes-Moreira, Teresa Coelho |
| 2023 | EPIA | Interpreting What is Important: An Explainability Approach and Study on Feature Selection. | Eduardo M. Rodrigues, Yassine Baghoussi, Joo Mendes-Moreira |
| 2023 | IDEAL | Unsupervised Online Event Ranking for IT Operations. | Tiago Costa Mendes, Andr Azevedo Barata, Miguel Pereira, Joo Mendes-Moreira, Rui Camacho, Ricardo Teixeira Sousa |
| 2022 | ADMA | Density Estimation in High-Dimensional Spaces: A Multivariate Histogram Approach. | Pedro Strecht, Joo Mendes-Moreira, Carlos Soares |
| 2022 | EPIA | Improving the Prediction of Age of Onset of TTR-FAP Patients Using Graph-Embedding Features. | Maria Pedroto, Alpio Jorge, Joo Mendes-Moreira, Teresa Coelho |
| 2022 | PAKDD | Graph Multi-Head Convolution for Spatio-Temporal Attention in Origin Destination Tensor Prediction. | Manish Bhanu, Rahul Kumar, Saswata Roy, Joo Mendes-Moreira, Joydeep Chandra |
| 2021 | EPIA | Predicting Predawn Leaf Water Potential up to Seven Days Using Machine Learning. | Ahmed A. Fares, Fbio Vasconcelos, Joo Mendes-Moreira, Carlos Ferreira |
| 2021 | EPIA | A Data-Driven Simulator for Assessing Decision-Making in Soccer. | Tiago Mendes-Neves, Joo Mendes-Moreira, Rosaldo J. F. Rossetti |
| 2021 | SEKE | An Analysis of the State of the Art of Machine Learning for Risk Assessment in Software Projects (S). | Andr Sousa, Joo Pascoal Faria, Joo Mendes-Moreira |
| 2021 | WorldCIST | Benchmark of Encoders of Nominal Features for Regression. | Diogo Seca, Joo Mendes-Moreira |
| 2020 | IDA | Reconciling Predictions in the Regression Setting: An Application to Bus Travel Time Prediction. | Joo Mendes-Moreira, Mitra Baratchi |
| 2020 | ISMIS | Comparing State-of-the-Art Neural Network Ensemble Methods in Soccer Predictions. | Tiago Mendes-Neves, Joo Mendes-Moreira |
| 2019 | DIS | Ensemble Clustering for Novelty Detection in Data Streams. | Kemilly Dearo Garcia, Elaine Ribeiro de Faria, Cludio Rebelo de S, Joo Mendes-Moreira, Charu C. Aggarwal, Andr C. P. L. F. de Carvalho, Joost N. Kok |
| 2019 | EPIA | Automatic Switching Between Video and Audio According to User's Context. | Paulo J. S. Ferreira, Joo M. P. Cardoso, Joo Mendes-Moreira |
| 2019 | EPIA | Energy Efficient Smartphone-Based Users Activity Classification. | Ricardo M. C. Magalhes, Joo M. P. Cardoso, Joo Mendes-Moreira |
| 2019 | IDEAL | An Efficient Scheme for Prototyping kNN in the Context of Real-Time Human Activity Recognition. | Paulo J. S. Ferreira, Ricardo M. C. Magalhes, Kemilly Dearo Garcia, Joo M. P. Cardoso, Joo Mendes-Moreira |
| 2018 | ADMA | Forecasting Traffic Flow in Big Cities Using Modified Tucker Decomposition. | Manish Bhanu, Shalini Priya, Sourav Kumar Dandapat, Joydeep Chandra, Joo Mendes-Moreira |
| 2018 | CBMS | Predicting Age of Onset in TTR-FAP Patients with Genealogical Features. | Maria Pedroto, Alpio Jorge, Joo Mendes-Moreira, Teresa Coelho |
| 2018 | COMSNETS | Updating a robust optimization model for improving bus schedules. | Yassine Baghoussi, Joo Mendes-Moreira, Michael T. M. Emmerich |
| 2018 | COMSNETS | Enhancing traffic model of big cities: Network skeleton & reciprocity. | Manish Bhanu, Joydeep Chandra, Joo Mendes-Moreira |
| 2018 | IDEAL | Instance-Based Stacked Generalization for Transfer Learning. | Yassine Baghoussi, Joo Mendes-Moreira |
| 2018 | IDEAL | Unsupervised Domain Adaptation for Human Activity Recognition. | Paulo Barbosa, Kemilly Dearo Garcia, Joo Mendes-Moreira, Andr C. P. L. F. de Carvalho |
| 2018 | IDEAL | A Cluster-Based Prototype Reduction for Online Classification. | Kemilly Dearo Garcia, Andr C. P. L. F. de Carvalho, Joo Mendes-Moreira |
| 2018 | PACBB | Impact of Genealogical Features in Transthyretin Familial Amyloid Polyneuropathy Age of Onset Prediction. | Maria Pedroto, Alpio Jorge, Joo Mendes-Moreira, Teresa Coelho |
| 2018 | WorldCIST | Agribusiness Intelligence: Grape Production Forecast Using Data Mining Techniques. | Rosana Cavalcante de Oliveira, Joo Mendes-Moreira, Carlos Abreu Ferreira |
| 2016 | MDM | Human Activity Recognition by Means of Online Semi-supervised Learning. | Hugo Louro Cardoso, Joo Mendes-Moreira |
| 2016 | PAKDD | Towards Automatic Generation of Metafeatures. | Fbio Pinto, Carlos Soares, Joo Mendes-Moreira |
| 2016 | WorldCIST | Monitoring Clusters in the Telecom Industry. | Gonalo Pereira, Joo Mendes-Moreira |
| 2015 | EDM | A Comparative Study of Regression and Classification Algorithms for Modelling Students' Academic Performance. | Pedro Strecht, Luis Cruz, Carlos Soares, Joo Mendes-Moreira, Rui Abreu |
| 2014 | ADMA | An Empirical Methodology to Analyze the Behavior of Bagging. | Fbio Pinto, Carlos Soares, Joo Mendes-Moreira |
| 2014 | ADMA | Merging Decision Trees: A Case Study in Predicting Student Performance. | Pedro Strecht, Joo Mendes-Moreira, Carlos Soares |
| 2014 | ECAI | A Framework To Decompose And Develop Metafeatures. | Fbio Pinto, Carlos Soares, Joo Mendes-Moreira |
| 2014 | IDA | An Incremental Probabilistic Model to Predict Bus Bunching in Real-Time. | Lus Moreira-Matias, Joo Gama, Joo Mendes-Moreira, Jorge Freire de Sousa |
| 2014 | ISMIS | On Predicting a Call Center's Workload: A Discretization-Based Approach. | Lus Moreira-Matias, Rafael Nunes, Michel Ferreira, Joo Mendes-Moreira, Joo Gama |
| 2013 | EPIA | On Predicting the Taxi-Passenger Demand: A Real-Time Approach. | Lus Moreira-Matias, Joo Gama, Michel Ferreira, Joo Mendes-Moreira, Lus Damas |
| 2013 | IJCAI | On Recommending Urban Hotspots to Find Our Next Passenger. | Lus Moreira-Matias, Ricardo Fernandes, Joo Gama, Michel Ferreira, Joo Mendes-Moreira, Lus Damas |
| 2012 | IDA | Finding Interesting Contexts for Explaining Deviations in Bus Trip Duration Using Distribution Rules. | Alpio Mrio Jorge, Joo Mendes-Moreira, Jorge Freire de Sousa, Carlos Soares, Paulo J. Azevedo |
| 2012 | IDA | Online Predictive Model for Taxi Services. | Lus Moreira-Matias, Joo Gama, Michel Ferreira, Joo Mendes-Moreira, Lus Damas |
| 2009 | PAKDD | The Effect of Varying Parameters and Focusing on Bus Travel Time Prediction. | Joo Mendes-Moreira, Carlos Soares, Alpio Mrio Jorge, Jorge Freire de Sousa |
| 2006 | ISMIS | Improving SVM-Linear Predictions Using CART for Example Selection. | Joo Mendes-Moreira, Alpio Mrio Jorge, Carlos Soares, Jorge Freire de Sousa |