Usue Mori

According to our database, Usue Mori authored at least 19 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Efficient concept drift handling for batch android malware detection models.

Borja Molina-Coronado, Usue Mori, Alexander Mendiburu, José Miguel-Alonso

Pervasive Mob. Comput., December, 2023

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

Josu Ircio, Aizea Lojo, Usue Mori, Simon Malinowski, José Antonio Lozano

IEEE Trans. Knowl. Data Eng., October, 2023

Selective Imputation for Multivariate Time Series Datasets With Missing Values.

Ane Blázquez-García, Kristoffer Wickstrøm, Shujian Yu, Karl Øyvind Mikalsen, Ahcène Boubekki, Angel Conde, Usue Mori, Robert Jenssen, José Antonio Lozano

IEEE Trans. Knowl. Data Eng., September, 2023

Light up that Droid! On the Effectiveness of Static Analysis Features against App Obfuscation for Android Malware Detection.

Borja Molina-Coronado, Antonio Ruggia, Usue Mori, Alessio Merlo, Alexander Mendiburu, José Miguel-Alonso

CoRR, 2023

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

Borja Molina-Coronado, Usue Mori, Alexander Mendiburu, José Miguel-Alonso

Comput. Secur., 2023

2022

Time series classifier recommendation by a meta-learning approach.

Amaia Abanda, Usue Mori, José Antonio Lozano

Pattern Recognit., 2022

Ad-hoc explanation for time series classification.

Amaia Abanda, Usue Mori, José Antonio Lozano

Knowl. Based Syst., 2022

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

Ane Blázquez-García, Angel Conde, Usue Mori, José Antonio Lozano

ACM Comput. Surv., 2022

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

Borja Molina-Coronado, Usue Mori, Alexander Mendiburu, José Miguel-Alonso

CoRR, 2022

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

Josu Ircio, Aizea Lojo, José Antonio Lozano, Usue Mori

IEEE Comput. Intell. Mag., 2022

2021

Water leak detection using self-supervised time series classification.

Ane Blázquez-García, Angel Conde, Usue Mori, José Antonio Lozano

Inf. Sci., 2021

2020

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

Borja Molina-Coronado, Usue Mori, Alexander Mendiburu, José Miguel-Alonso

IEEE Trans. Netw. Serv. Manag., 2020

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

Josu Ircio, Aizea Lojo, Usue Mori, José Antonio Lozano

Pattern Recognit., 2020

2019

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

Usue Mori, Alexander Mendiburu, Isabel Marta Miranda, José Antonio Lozano

Inf. Sci., 2019

A review on distance based time series classification.

Amaia Abanda, Usue Mori, José Antonio Lozano

Data Min. Knowl. Discov., 2019

2018

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

Usue Mori, Alexander Mendiburu, Sanjoy Dasgupta, José Antonio Lozano

IEEE Trans. Neural Networks Learn. Syst., 2018

2017

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

Usue Mori, Alexander Mendiburu, Eamonn J. Keogh, José Antonio Lozano

Data Min. Knowl. Discov., 2017

2016

Similarity Measure Selection for Clustering Time Series Databases.

Usue Mori, Alexander Mendiburu, José Antonio Lozano

IEEE Trans. Knowl. Data Eng., 2016

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

Usue Mori, Alexander Mendiburu, José Antonio Lozano

R J., 2016