
-
Early Anomaly Detection in Time Series: A Hierarchical Approach for Predicting Critical Health Episodes
The early detection of anomalous events in time series data is essential...
read it
-
VEST: Automatic Feature Engineering for Forecasting
Time series forecasting is a challenging task with applications in a wid...
read it
-
A Bandit-Based Algorithm for Fairness-Aware Hyperparameter Optimization
Considerable research effort has been guided towards algorithmic fairnes...
read it
-
Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters
Time series forecasting is one of the most active research topics. Machi...
read it
-
Preference rules for label ranking: Mining patterns in multi-target relations
In this paper we investigate two variants of association rules for prefe...
read it
-
Entity-Relationship Search over the Web
Entity-Relationship (E-R) Search is a complex case of Entity Search wher...
read it
-
cf2vec: Collaborative Filtering algorithm selection using graph distributed representations
Algorithm selection using Metalearning aims to find mappings between pro...
read it
-
Towards Reproducible Empirical Research in Meta-Learning
Meta-learning is increasingly used to support the recommendation of mach...
read it
-
Algorithm Selection for Collaborative Filtering: the influence of graph metafeatures and multicriteria metatargets
To select the best algorithm for a new problem is an expensive and diffi...
read it
-
Building robust prediction models for defective sensor data using Artificial Neural Networks
Predicting the health of components in complex dynamic systems such as a...
read it
-
CF4CF: Recommending Collaborative Filtering algorithms using Collaborative Filtering
Automatic solutions which enable the selection of the best algorithms fo...
read it
-
Smart energy management as a means towards improved energy efficiency
The costs associated with refrigerator equipment often represent more th...
read it
-
Learning Word Embeddings from the Portuguese Twitter Stream: A Study of some Practical Aspects
This paper describes a preliminary study for producing and distributing ...
read it
-
autoBagging: Learning to Rank Bagging Workflows with Metalearning
Machine Learning (ML) has been successfully applied to a wide range of d...
read it
-
FEUP at SemEval-2017 Task 5: Predicting Sentiment Polarity and Intensity with Financial Word Embeddings
This paper presents the approach developed at the Faculty of Engineering...
read it