Search Results for author:
Found 7 papers, 6 papers with code
Look Into the LITE in Deep Learning for Time Series Classification
In this paper, we present a new architecture for TSC, the Light Inception with boosTing tEchnique (LITE) with only 2. 34% of the number of parameters of the state-of-the-art InceptionTime model, while preserving performance.
A Medical Low-Back Pain Physical Rehabilitation Dataset for Human Body Movement Analysis
While automatic monitoring and coaching of exercises are showing encouraging results in non-medical applications, they still have limitations such as errors and limited use contexts.
Establishing a Unified Evaluation Framework for Human Motion Generation: A Comparative Analysis of Metrics
The development of generative artificial intelligence for human motion generation has expanded rapidly, necessitating a unified evaluation framework.
Finding Foundation Models for Time Series Classification with a PreText Task
Over the past decade, Time Series Classification (TSC) has gained an increasing attention.
ShapeDBA: Generating Effective Time Series Prototypes using ShapeDTW Barycenter Averaging
Our approach uses a new form of time series average, the ShapeDTW Barycentric Average.
An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set
The measurement of progress using benchmarks evaluations is ubiquitous in computer science and machine learning.
Generating Shared Latent Variables for Robots to Imitate Human Movements and Understand their Physical Limitations
Assistive robotics and particularly robot coaches may be very helpful for rehabilitation healthcare.
