Distance Measures for Time Series in R: The TSdist Package. - Usue Mori; Alexander Mendiburu; José Antonio Lozano 001 (R J., 2016)

Similarity Measure Selection for Clustering Time Series Databases. - Usue Mori; Alexander Mendiburu; José Antonio Lozano 001 (IEEE Trans. Knowl. Data Eng., 2016)

Reliable early classification of time series based on discriminating the classes over time. - Usue Mori; Alexander Mendiburu; Eamonn J. Keogh; José Antonio Lozano 001 (Data Min. Knowl. Discov., 2017)

Early Classification of Time Series by Simultaneously Optimizing the Accuracy and Earliness. - Usue Mori; Alexander Mendiburu; Sanjoy Dasgupta; José Antonio Lozano 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

A review on distance based time series classification. - Amaia Abanda; Usue Mori; José Antonio Lozano 001 (Data Min. Knowl. Discov., 2019)

Early classification of time series using multi-objective optimization techniques. - Usue Mori; Alexander Mendiburu; Isabel Marta Miranda; José Antonio Lozano 001 (Inf. Sci., 2019)

Mutual information based feature subset selection in multivariate time series classification. - Josu Ircio; Aizea Lojo; Usue Mori; José Antonio Lozano 001 (Pattern Recognit., 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)

Water leak detection using self-supervised time series classification. - Ane Blázquez-García; Angel Conde; Usue Mori; José Antonio Lozano 001 (Inf. Sci., 2021)

A Multivariate Time Series Streaming Classifier for Predicting Hard Drive Failures [Application Notes]. - Josu Ircio; Aizea Lojo; José Antonio Lozano 001; Usue Mori (IEEE Comput. Intell. Mag., 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 Review on Outlier/Anomaly Detection in Time Series Data. - Ane Blázquez-García; Angel Conde; Usue Mori; José Antonio Lozano 001 (ACM Comput. Surv., 2022)

Ad-hoc explanation for time series classification. - Amaia Abanda; Usue Mori; José Antonio Lozano 001 (Knowl. Based Syst., 2022)

Time series classifier recommendation by a meta-learning approach. - Amaia Abanda; Usue Mori; José Antonio Lozano 001 (Pattern Recognit., 2022)

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)

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 001 (IEEE Trans. Knowl. Data Eng., 2023)

Minimum Recall-Based Loss Function for Imbalanced Time Series Classification. - Josu Ircio; Aizea Lojo; Usue Mori; Simon Malinowski; José Antonio Lozano 001 (IEEE Trans. Knowl. Data Eng., 2023)

Efficient concept drift handling for batch android malware detection models. - Borja Molina-Coronado; Usue Mori; Alexander Mendiburu; José Miguel-Alonso (Pervasive Mob. Comput., 2023)

Reinforcement learning for the optimization and online control of emulsion polymerization reactors: Particle morphology. - Nicholas Ballard; Kiarash Farajzadehahary; Shaghayegh Hamzehlou; Usue Mori; José M. Asua (Comput. Chem. Eng., 2024)

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 (J. Netw. Comput. Appl., 2025)

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection. - Aitor Sánchez-Ferrera; Usue Mori; Borja Calvo; José Antonio Lozano 001 (CoRR, 2025)