João Mendes-Moreira

Orcid: 0000-0002-2471-2833

Affiliations:
  • University of Porto, Faculty of Engineering, Porto, Portugal


According to our database1, João Mendes-Moreira authored at least 103 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Corrector LSTM: built-in training data correction for improved time-series forecasting.
Neural Comput. Appl., September, 2024

Map-matching methods in agriculture.
Comput. Electron. Agric., January, 2024

Forecasting Events in Soccer Matches Through Language.
CoRR, 2024

Towards a Systematic Approach to Design New Ensemble Learning Algorithms.
CoRR, 2024

Estimating Player Performance in Different Contexts Using Fine-tuned Large Events Models.
CoRR, 2024

Kernel Corrector LSTM.
Proceedings of the Advances in Intelligent Data Analysis XXII, 2024

2023
An encoder framework for taxi-demand prediction using spatio-temporal function approximation.
Eng. Appl. Artif. Intell., November, 2023

DyGCN-LSTM: A dynamic GCN-LSTM based encoder-decoder framework for multistep traffic prediction.
Appl. Intell., November, 2023

A Survey of Advanced Computer Vision Techniques for Sports.
CoRR, 2023

ST-A<sub>G</sub>P: Spatio-Temporal aggregator predictor model for multi-step taxi-demand prediction in cities.
Appl. Intell., 2023

Applying Machine Learning to Estimate the Effort and Duration of Individual Tasks in Software Projects.
IEEE Access, 2023

A Study on Hyperparameters Configurations for an Efficient Human Activity Recognition System.
Proceedings of the 8th international Workshop on Sensor-Based Activity Recognition and Artificial Intelligence, 2023

Inferring Transportation Mode Using Pooled Features from Time and Frequency Domains.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Unsupervised Online Event Ranking for IT Operations.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2023, 2023

Interpreting What is Important: An Explainability Approach and Study on Feature Selection.
Proceedings of the Progress in Artificial Intelligence, 2023

Combining Neighbor Models to Improve Predictions of Age of Onset of ATTRv Carriers.
Proceedings of the Progress in Artificial Intelligence, 2023

Studying the Impact of Sampling in Highly Frequent Time Series.
Proceedings of the Progress in Artificial Intelligence, 2023

Symbolic Data Analysis to Improve Completeness of Model Combination Methods.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

2022
Valuing Players Over Time.
CoRR, 2022

Graph Multi-Head Convolution for Spatio-Temporal Attention in Origin Destination Tensor Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Probabilistic Metric to measure the imbalance in multi-class problems.
Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2022

Tracking Data Visual Representations for Sports Broadcasting Enrichment.
Proceedings of the 10th International Conference on Sport Sciences Research and Technology Support, 2022

Improving the Prediction of Age of Onset of TTR-FAP Patients Using Graph-Embedding Features.
Proceedings of the Progress in Artificial Intelligence, 2022

Density Estimation in High-Dimensional Spaces: A Multivariate Histogram Approach.
Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022

2021
Embedding Traffic Network Characteristics Using Tensor for Improved Traffic Prediction.
IEEE Trans. Intell. Transp. Syst., 2021

An ensemble of autonomous auto-encoders for human activity recognition.
Neurocomputing, 2021

Inmplode: A framework to interpret multiple related rule-based models.
Expert Syst. J. Knowl. Eng., 2021

Pastprop-RNN: improved predictions of the future by correcting the past.
CoRR, 2021

Benchmark of Encoders of Nominal Features for Regression.
Proceedings of the Trends and Applications in Information Systems and Technologies, 2021

An Analysis of the State of the Art of Machine Learning for Risk Assessment in Software Projects (S).
Proceedings of the 33rd International Conference on Software Engineering and Knowledge Engineering, 2021

An analysis of Monte Carlo simulations for forecasting software projects.
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

Applying Machine Learning to Risk Assessment in Software Projects.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Transportation Mode Detection from GPS data: A Data Science Benchmark study.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

A Data-Driven Simulator for Assessing Decision-Making in Soccer.
Proceedings of the Progress in Artificial Intelligence, 2021

Predicting Predawn Leaf Water Potential up to Seven Days Using Machine Learning.
Proceedings of the Progress in Artificial Intelligence, 2021

2020
Hierarchical Qualitative Clustering - clustering mixed datasets with critical qualitative information.
CoRR, 2020

kNN Prototyping Schemes for Embedded Human Activity Recognition with Online Learning.
Comput., 2020

Underground Train Tracking using Mobile Phone Accelerometer Data.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Comparing State-of-the-Art Neural Network Ensemble Methods in Soccer Predictions.
Proceedings of the Foundations of Intelligent Systems - 25th International Symposium, 2020

Reconciling Predictions in the Regression Setting: An Application to Bus Travel Time Prediction.
Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

2019
Eating and Drinking Recognition in Free-Living Conditions for Triggering Smart Reminders.
Sensors, 2019

A Study on Hyperparameter Configuration for Human Activity Recognition.
Proceedings of the 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019), 2019

UnFOOT: Unsupervised Football Analytics Tool.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

An Efficient Scheme for Prototyping kNN in the Context of Real-Time Human Activity Recognition.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

Mining Frequent Distributions in Time Series.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

Energy Efficient Smartphone-Based Users Activity Classification.
Proceedings of the Progress in Artificial Intelligence, 2019

Automatic Switching Between Video and Audio According to User's Context.
Proceedings of the Progress in Artificial Intelligence, 2019

Ensemble Clustering for Novelty Detection in Data Streams.
Proceedings of the Discovery Science - 22nd International Conference, 2019

2018
A Preliminary Study on Hyperparameter Configuration for Human Activity Recognition.
CoRR, 2018

Agribusiness Intelligence: Grape Production Forecast Using Data Mining Techniques.
Proceedings of the Trends and Advances in Information Systems and Technologies, 2018

A Framework for Analytical Approaches to Combine Interpretable Models.
Proceedings of the Information Management and Big Data, 5th International Conference, 2018

Generalizing Knowledge in Decentralized Rule-Based Models.
Proceedings of the ECML PKDD 2018 Workshops, 2018

Impact of Genealogical Features in Transthyretin Familial Amyloid Polyneuropathy Age of Onset Prediction.
Proceedings of the Practical Applications of Computational Biology and Bioinformatics, 2018

A Cluster-Based Prototype Reduction for Online Classification.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

Unsupervised Domain Adaptation for Human Activity Recognition.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

Instance-Based Stacked Generalization for Transfer Learning.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

Enhancing traffic model of big cities: Network skeleton & reciprocity.
Proceedings of the 10th International Conference on Communication Systems & Networks, 2018

Updating a robust optimization model for improving bus schedules.
Proceedings of the 10th International Conference on Communication Systems & Networks, 2018

Predicting Age of Onset in TTR-FAP Patients with Genealogical Features.
Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018

Forecasting Traffic Flow in Big Cities Using Modified Tucker Decomposition.
Proceedings of the Advanced Data Mining and Applications - 14th International Conference, 2018

2017
autoBagging: Learning to Rank Bagging Workflows with Metalearning.
Proceedings of the International Workshop on Automatic Selection, 2017

2016
Time-evolving O-D matrix estimation using high-speed GPS data streams.
Expert Syst. Appl., 2016

An online learning approach to eliminate Bus Bunching in real-time.
Appl. Soft Comput., 2016

Monitoring Clusters in the Telecom Industry.
Proceedings of the New Advances in Information Systems and Technologies, 2016

CHADE: Metalearning with Classifier Chains for Dynamic Combination of Classifiers.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Online Failure Prevention from Connected Heating Systems.
Proceedings of the Workshop on Large-scale Learning from Data Streams in Evolving Environments (STREAMEVOLV 2016) co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2016), 2016

Concept Neurons - Handling Drift Issues for Real-Time Industrial Data Mining.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Improving Human Activity Classification through Online Semi-Supervised Learning.
Proceedings of the Workshop on Large-scale Learning from Data Streams in Evolving Environments (STREAMEVOLV 2016) co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2016), 2016

Towards Automatic Generation of Metafeatures.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Human Activity Recognition by Means of Online Semi-supervised Learning.
Proceedings of the IEEE 17th International Conference on Mobile Data Management, 2016

Combining recommendation systems with a dynamic weighted technique.
Proceedings of the Eleventh International Conference on Digital Information Management, 2016

Churn perdiction in the telecom business.
Proceedings of the Eleventh International Conference on Digital Information Management, 2016

2015
Taxi Service Trajectory - Prediction Challenge, ECML PKDD 2015.
Dataset, July, 2015

Improving Mass Transit Operations by Using AVL-Based Systems: A Survey.
IEEE Trans. Intell. Transp. Syst., 2015

Validating the coverage of bus schedules: A Machine Learning approach.
Inf. Sci., 2015

Improving the accuracy of long-term travel time prediction using heterogeneous ensembles.
Neurocomputing, 2015

On Learning from Taxi GPS Traces (Preamble).
Proceedings of the ECML/PKDD 2015 Discovery Challenges co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2015), 2015

Pruning Bagging Ensembles with Metalearning.
Proceedings of the Multiple Classifier Systems - 12th International Workshop, 2015

Urban Logistics Integrated in a Multimodal Mobility System.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

A Comparative Study of Regression and Classification Algorithms for Modelling Students' Academic Performance.
Proceedings of the 8th International Conference on Educational Data Mining, 2015

2014
Using model-based collaborative filtering techniques to recommend the expected best strategy to defeat a simulated soccer opponent.
Intell. Data Anal., 2014

Improving a simulated soccer team's performance through a Memory-Based Collaborative Filtering approach.
Appl. Soft Comput., 2014

An online learning framework for predicting the taxi stand's profitability.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

On Predicting a Call Center's Workload: A Discretization-Based Approach.
Proceedings of the Foundations of Intelligent Systems - 21st International Symposium, 2014

An Incremental Probabilistic Model to Predict Bus Bunching in Real-Time.
Proceedings of the Advances in Intelligent Data Analysis XIII, 2014

A Framework To Decompose And Develop Metafeatures.
Proceedings of the International Workshop on Meta-learning and Algorithm Selection co-located with 21st European Conference on Artificial Intelligence, 2014

Merging Decision Trees: A Case Study in Predicting Student Performance.
Proceedings of the Advanced Data Mining and Applications - 10th International Conference, 2014

An Empirical Methodology to Analyze the Behavior of Bagging.
Proceedings of the Advanced Data Mining and Applications - 10th International Conference, 2014

2013
Predicting Taxi-Passenger Demand Using Streaming Data.
IEEE Trans. Intell. Transp. Syst., 2013

Using Multivariate Adaptive Regression Splines in the Construction of Simulated Soccer Team's Behavior Models.
Int. J. Comput. Intell. Syst., 2013

On Recommending Urban Hotspots to Find Our Next Passenger.
Proceedings of the 3rd Workshop on Ubiquitous Data Mining co-located with the 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), 2013

On Predicting the Taxi-Passenger Demand: A Real-Time Approach.
Proceedings of the Progress in Artificial Intelligence, 2013

2012
Comparing state-of-the-art regression methods for long term travel time prediction.
Intell. Data Anal., 2012

Ensemble approaches for regression: A survey.
ACM Comput. Surv., 2012

An online recommendation system for the taxi stand choice problem (Poster).
Proceedings of the 2012 IEEE Vehicular Networking Conference, 2012

Text Categorization Using an Ensemble Classifier Based on a Mean Co-association Matrix.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2012

Bus Bunching Detection by Mining Sequences of Headway Deviations.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2012

Online Predictive Model for Taxi Services.
Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012

Finding Interesting Contexts for Explaining Deviations in Bus Trip Duration Using Distribution Rules.
Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012

2010
Validation of both number and coverage of bus schedules using AVL data.
Proceedings of the 13th International IEEE Conference on Intelligent Transportation Systems, 2010

2009
The Effect of Varying Parameters and Focusing on Bus Travel Time Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Ensemble Learning: A Study on Different Variants of the Dynamic Selection Approach.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

2006
Improving SVM-Linear Predictions Using CART for Example Selection.
Proceedings of the Foundations of Intelligent Systems, 16th International Symposium, 2006


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