3 papers
cs.LG2026
Improving Multivariate Time Series Classification with Class-Wise Training and Model Aggregation
Mouhamadou Mansour Lo, Gildas Morvan, Mathieu Rossi +2
In this paper, we propose a class-wise dimension (channel) selection framework for Multivariate Time Series Classification (MTSC). Rather than applying a single global dimension se…
cs.LG2026
Multi-Class Electrical and Mechanical Fault Classification Using Random Convolutional Kernels
Mouhamadou Mansour Lo, Mouad Talbaoui, Gildas Morvan +3
Diagnosing faults in rotating machinery is essential for ensuring the reliability of industrial processes. Random convolutional kernel-based Time Series Classification (TSC) method…
cs.LG2024
Time series classification with random convolution kernels: pooling operators and input representations matter
Mouhamadou Mansour Lo, Gildas Morvan, Mathieu Rossi +2
This article presents a new approach based on MiniRocket, called SelF-Rocket, for fast time series classification (TSC). Unlike existing approaches based on random convolution kern…