João Mendes-Moreira

Author Info

Name	Affiliation	Papers
JOÃO MENDES-MOREIRA	Departamento de Engenharia Informática, Faculdade de Engenharia, Universidade do Porto, Porto, Portugal and LIAAD-INESC TEC, Porto, Portugal	56
Collaborators	Citations	PageRank
85	317	29.50
Referers	Referees	References
885	927	584

Search Limit

100927

Publications (56 rows)

Collaborators (85 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
An analysis of Monte Carlo simulations for forecasting software projects	0	0.34	2021
Embedding Traffic Network Characteristics Using Tensor for Improved Traffic Prediction	0	0.34	2021
Predicting Predawn Leaf Water Potential up to Seven Days Using Machine Learning	0	0.34	2021
Inmplode: A Framework To Interpret Multiple Related Rule-Based Models	0	0.34	2021
Underground Train Tracking using Mobile Phone Accelerometer Data.	0	0.34	2020
Knn Prototyping Schemes For Embedded Human Activity Recognition With Online Learning	0	0.34	2020
Eating and Drinking Recognition in Free-Living Conditions for Triggering Smart Reminders.	1	0.34	2019
A Study on Hyperparameter Configuration for Human Activity Recognition.	0	0.34	2019
Ensemble Clustering for Novelty Detection in Data Streams.	0	0.34	2019
Predicting Age of Onset in TTR-FAP Patients with Genealogical Features	0	0.34	2018
Impact of Genealogical Features in Transthyretin Familial Amyloid Polyneuropathy Age of Onset Prediction.	0	0.34	2018
Generalizing Knowledge in Decentralized Rule-Based Models.	0	0.34	2018
Forecasting Traffic Flow in Big Cities Using Modified Tucker Decomposition.	0	0.34	2018
Agribusiness Intelligence: Grape Production Forecast Using Data Mining Techniques.	0	0.34	2018
A Preliminary Study on Hyperparameter Configuration for Human Activity Recognition.	0	0.34	2018
A Framework for Analytical Approaches to Combine Interpretable Models.	0	0.34	2018
autoBagging: Learning to Rank Bagging Workflows with Metalearning.	0	0.34	2017
Concept Neurons - Handling Drift Issues for Real-Time Industrial Data Mining.	4	0.42	2016
Monitoring Clusters in the Telecom Industry.	0	0.34	2016
ISEP/INESC TEC Aerial Robotics Team for Search and Rescue Operations at the EuRathlon Challenge 2015	0	0.34	2016
An online learning approach to eliminate Bus Bunching in real-time.	5	0.53	2016
Improving Human Activity Classification through Online Semi-Supervised Learning.	0	0.34	2016
Human Activity Recognition by Means of Online Semi-supervised Learning	0	0.34	2016
Time-evolving O-D matrix estimation using high-speed GPS data streams	11	0.54	2016
CHADE: Metalearning with Classifier Chains for Dynamic Combination of Classifiers.	1	0.38	2016
Online Failure Prevention from Connected Heating Systems.	0	0.34	2016
Towards Automatic Generation of Metafeatures.	2	0.39	2016
On Learning from Taxi GPS Traces (Preamble).	0	0.34	2015
Improving the accuracy of long-term travel time prediction using heterogeneous ensembles.	5	0.49	2015
Urban Logistics Integrated in a Multimodal Mobility System	0	0.34	2015
Pruning Bagging Ensembles with Metalearning	0	0.34	2015
A Comparative Study of Regression and Classification Algorithms for Modelling Students' Academic Performance.	0	0.34	2015
Validating the coverage of bus schedules: A Machine Learning approach.	13	0.72	2015
Improving Mass Transit Operations by Using AVL-Based Systems: A Survey	19	1.29	2015
Using model-based collaborative filtering techniques to recommend the expected best strategy to defeat a simulated soccer opponent	3	0.36	2014
An Empirical Methodology to Analyze the Behavior of Bagging.	2	0.37	2014
A Framework To Decompose And Develop Metafeatures.	1	0.35	2014
An Incremental Probabilistic Model to Predict Bus Bunching in Real-Time.	4	0.52	2014
On Predicting a Call Center's Workload: A Discretization-Based Approach.	0	0.34	2014
Merging Decision Trees: A Case Study in Predicting Student Performance.	1	0.36	2014
An online learning framework for predicting the taxi stand's profitability	1	0.36	2014
Improving a simulated soccer team's performance through a Memory-Based Collaborative Filtering approach	5	0.40	2014
On Recommending Urban Hotspots to Find Our Next Passenger.	1	0.36	2013
Using Multivariate Adaptive Regression Splines In The Construction Of Simulated Soccer Team'S Behavior Models	4	0.41	2013
Predicting Taxi–Passenger Demand Using Streaming Data	101	3.68	2013
Comparing state-of-the-art regression methods for long term travel time prediction	11	0.71	2012
An online recommendation system for the taxi stand choice problem (Poster)	4	0.44	2012
Online predictive model for taxi services	2	0.42	2012
Bus bunching detection by mining sequences of headway deviations	11	0.96	2012
Finding interesting contexts for explaining deviations in bus trip duration using distribution rules	1	0.37	2012

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