Usue Mori

Orcid: 0000-0002-2057-1770

According to our database1, Usue Mori authored at least 20 papers between 2016 and 2024.

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Bibliography

2024
Reinforcement learning for the optimization and online control of emulsion polymerization reactors: Particle morphology.
Comput. Chem. Eng., 2024

2023
Efficient concept drift handling for batch android malware detection models.
Pervasive Mob. Comput., December, 2023

Minimum Recall-Based Loss Function for Imbalanced Time Series Classification.
IEEE Trans. Knowl. Data Eng., October, 2023

Selective Imputation for Multivariate Time Series Datasets With Missing Values.
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.
CoRR, 2023

Towards a fair comparison and realistic evaluation framework of android malware detectors based on static analysis and machine learning.
Comput. Secur., 2023

2022
Time series classifier recommendation by a meta-learning approach.
Pattern Recognit., 2022

Ad-hoc explanation for time series classification.
Knowl. Based Syst., 2022

A Review on Outlier/Anomaly Detection in Time Series Data.
ACM Comput. Surv., 2022

Towards a Fair Comparison and Realistic Design and Evaluation Framework of Android Malware Detectors.
CoRR, 2022

A Multivariate Time Series Streaming Classifier for Predicting Hard Drive Failures [Application Notes].
IEEE Comput. Intell. Mag., 2022

2021
Water leak detection using self-supervised time series classification.
Inf. Sci., 2021

2020
Survey of Network Intrusion Detection Methods From the Perspective of the Knowledge Discovery in Databases Process.
IEEE Trans. Netw. Serv. Manag., 2020

Mutual information based feature subset selection in multivariate time series classification.
Pattern Recognit., 2020

2019
Early classification of time series using multi-objective optimization techniques.
Inf. Sci., 2019

A review on distance based time series classification.
Data Min. Knowl. Discov., 2019

2018
Early Classification of Time Series by Simultaneously Optimizing the Accuracy and Earliness.
IEEE Trans. Neural Networks Learn. Syst., 2018

2017
Reliable early classification of time series based on discriminating the classes over time.
Data Min. Knowl. Discov., 2017

2016
Similarity Measure Selection for Clustering Time Series Databases.
IEEE Trans. Knowl. Data Eng., 2016

Distance Measures for Time Series in R: The TSdist Package.
R J., 2016


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