Modeling and Data Science (MSD) research group

Simple-KAN-4-Time-Series

A simple feature-based time series classifier using Kolmogorov–Arnold Networks

Multi_Comparison_Matrix

Multi Comparison Matrix: A long term approach to benchmark evaluations

CF-4-TSC

Hand-Crafted Convolutional Filters 4 Time Series

LITE

LITE: Light Inception with boosTing tEchniques for Time Series Classification

Augmenting-TSC-Elastic-Averaging

Augmenting Time Series Datasets with Weighted Elastic Barycenter Averaging

DomainFoundationModelsTSC

Domain Foundation Models for Time Series Classification

TRILITE

Self-supervised learning to boost time series classification models using a triplet loss mechanism.

filter1D_visualization

Visualization of 1D CNNs filters space for Time Series Analysis

ShapeDBA

Generating Time Series Prototypes with ShapeDTW Barycenter Averaging

Evaluating-HMG

Evaluating Human Motion Generation Models

SVAE-4-HMG

A Supervised VAE Based Gen Model for Human Motion

KD-4-TSC

Applying knowledge distillation on FCN and Inception architectures for time series classification.

.github

msd-irimas.github.io