Light up that Droid! On the effectiveness of static analysis features against app obfuscation for Android malware detection.

Reinforcement learning for the optimization and online control of emulsion polymerization reactors: Particle morphology.

Efficient concept drift handling for batch android malware detection models.

Minimum Recall-Based Loss Function for Imbalanced Time Series Classification.

Selective Imputation for Multivariate Time Series Datasets With Missing Values.

Towards a fair comparison and realistic evaluation framework of android malware detectors based on static analysis and machine learning.

Time series classifier recommendation by a meta-learning approach.

Ad-hoc explanation for time series classification.

A Review on Outlier/Anomaly Detection in Time Series Data.

Towards a Fair Comparison and Realistic Design and Evaluation Framework of Android Malware Detectors.

A Multivariate Time Series Streaming Classifier for Predicting Hard Drive Failures [Application Notes].

Water leak detection using self-supervised time series classification.

Survey of Network Intrusion Detection Methods From the Perspective of the Knowledge Discovery in Databases Process.

Mutual information based feature subset selection in multivariate time series classification.

Early classification of time series using multi-objective optimization techniques.

A review on distance based time series classification.

Early Classification of Time Series by Simultaneously Optimizing the Accuracy and Earliness.

Reliable early classification of time series based on discriminating the classes over time.

Similarity Measure Selection for Clustering Time Series Databases.

Distance Measures for Time Series in R: The TSdist Package.