| Empirical Study on the Impact of Different Sets of Parameters of Gradient Boosting Algorithms for Time-Series Forecasting with LightGBM. | 0 | 0.34 | 2021 |
| An empirical analysis of binary transformation strategies and base algorithms for multi-label learning | 2 | 0.39 | 2020 |
| Underground Train Tracking using Mobile Phone Accelerometer Data. | 0 | 0.34 | 2020 |
| Layered Learning for Early Anomaly Detection - Predicting Critical Health Episodes. | 0 | 0.34 | 2019 |
| Dataset Morphing to Analyze the Performance of Collaborative Filtering. | 0 | 0.34 | 2019 |
| Label Expansion for Multi-label Classification | 0 | 0.34 | 2018 |
| Preference rules for label ranking: Mining patterns in multi-target relations. | 2 | 0.35 | 2018 |
| Smart energy management as a means towards improved energy efficiency. | 0 | 0.34 | 2018 |
| Metalearning and Recommender Systems: A literature review and empirical study on the algorithm selection problem for Collaborative Filtering. | 7 | 0.50 | 2018 |
| Building robust prediction models for defective sensor data using Artificial Neural Networks. | 0 | 0.34 | 2018 |
| Entity-Relationship Search over the Web. | 0 | 0.34 | 2018 |
| Bandit-Based Automated Machine Learning | 0 | 0.34 | 2018 |
| Analysing the Footprint of Classifiers in Overlapped and Imbalanced Contexts. | 0 | 0.34 | 2018 |
| Arbitrated Ensemble for Solar Radiation Forecasting. | 3 | 0.53 | 2017 |
| Recommending Collaborative Filtering Algorithms Using Subsampling Landmarkers | 3 | 0.45 | 2017 |
| TexRep: A Text Mining Framework for Online Reputation Monitoring. | 1 | 0.35 | 2017 |
| autoBagging: Learning to Rank Bagging Workflows with Metalearning. | 0 | 0.34 | 2017 |
| Early Fusion Strategy for Entity-Relationship Retrieval. | 1 | 0.35 | 2017 |
| FEUP at SemEval-2017 Task 5: Predicting Sentiment Polarity and Intensity with Financial Word Embeddings. | 1 | 0.35 | 2017 |
| A Guidance Of Data Stream Characterization For Meta-Learning | 0 | 0.34 | 2017 |
| Scalable Online Top-N Recommender Systems. | 0 | 0.34 | 2016 |
| TweeProfiles3: Visualization of Spatio-Temporal Patterns on Twitter. | 0 | 0.34 | 2016 |
| Sentiment Aggregate Functions for Political Opinion Polling using Microblog Streams. | 1 | 0.37 | 2016 |
| Collaborative Data Analysis In Hyperconnected Transportation Systems | 0 | 0.34 | 2016 |
| TimeMachine: Entity-centric Search and Visualization of News Archives | 5 | 0.48 | 2016 |
| Entropy-based discretization methods for ranking data. | 15 | 0.54 | 2016 |
| Learning from the News: Predicting Entity Popularity on Twitter. | 0 | 0.34 | 2016 |
| AToMRS: A Tool to Monitor Recommender Systems. | 0 | 0.34 | 2016 |
| Can Metalearning Be Applied To Transfer On Heterogeneous Datasets? | 0 | 0.34 | 2016 |
| Selecting Collaborative Filtering Algorithms Using Metalearning. | 1 | 0.35 | 2016 |
| Combining Boosted Trees with Metafeature Engineering for Predictive Maintenance. | 0 | 0.34 | 2016 |
| Metalearning To Choose The Level Of Analysis In Nested Data: A Case Study On Error Detection In Foreign Trade Statistics | 0 | 0.34 | 2015 |
| Popmine: Tracking Political Opinion On The Web | 4 | 0.50 | 2015 |
| Metalearning for Multiple-Domain Transfer Learning. | 0 | 0.34 | 2015 |
| Combining Regression Models And Metaheuristics To Optimize Space Allocation In The Retail Industry | 2 | 0.38 | 2015 |
| Using Metalearning for Prediction of Taxi Trip Duration Using Different Granularity Levels. | 0 | 0.34 | 2015 |
| TwitterJam: Identification of mobility patterns in urban centers based on tweets | 4 | 0.46 | 2015 |
| An Empirical Methodology to Analyze the Behavior of Bagging. | 2 | 0.37 | 2014 |
| TweeProfiles: Detection of Spatio-temporal Patterns on Twitter. | 3 | 0.40 | 2014 |
| Monitoring Recommender Systems: A Business Intelligence Approach | 3 | 0.37 | 2014 |
| Multi-Interval Discretization Of Continuous Attributes For Label Ranking | 6 | 0.43 | 2013 |
| POPSTAR at RepLab 2013: Name Ambiguity Resolution on Twitter. | 8 | 0.74 | 2013 |
| Space Allocation in the Retail Industry: A Decision Support System Integrating Evolutionary Algorithms and Regression Models. | 1 | 0.36 | 2013 |
| Integrating Data Mining and Optimization Techniques on Surgery Scheduling. | 4 | 0.47 | 2012 |
| Dynamic Discretization of Continuous Attributes | 16 | 0.91 | 1998 |
| From Graphical Objects to Terms and Back: an Extended Application Framework for Prolog | 0 | 0.34 | 1997 |
