Ludovic Seifert

Orcid: 0000-0003-1712-5013

According to our database1, Ludovic Seifert authored at least 14 papers between 2013 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Postural regulation and signal segmentation using clustering with TV regularization approach.
Biomed. Signal Process. Control., 2025

2024
A temporal graph model to study the dynamics of collective behavior and performance in team sports: an application to basketball.
Soc. Netw. Anal. Min., December, 2024

Deep Learning for Automated Localization of Gaze Points and Climbing Holds.
Proceedings of the Thirteenth IEEE International Conference on Image Processing Theory, 2024

2023
Vision-Based Global Localization of Points of Gaze in Sport Climbing.
Int. J. Pattern Recognit. Artif. Intell., June, 2023

Avoiding organismic asymmetries in ecological cognition: Analysis of agent-environment couplings with eco-physical variables.
Adapt. Behav., April, 2023

2022
Identifying patterns in trunk/head/elbow changes of riders and non-riders: A cluster analysis approach.
Comput. Biol. Medicine, 2022

2020
Learning from Partially Labeled Sequences for Behavioral Signal Annotation.
Proceedings of the Machine Learning and Data Mining for Sports Analytics, 2020

2019
An enactive approach to appropriation in the instrumented activity of trail running.
Cogn. Process., 2019

2017
Comparing dynamics of fluency and inter-limb coordination in climbing activities using multi-scale Jensen-Shannon embedding and clustering.
Data Min. Knowl. Discov., 2017

2016
Collection of Visual Data in Climbing Experiments for Addressing the Role of Multi-modal Exploration in Motor Learning Efficiency.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2016

2015
Automatic sensor-based detection and classification of climbing activities.
CoRR, 2015

Valuation of Climbing Activities Using Multi-Scale Stochastic Neighbour Embedding.
Proceedings of the 2nd Workshop on Machine Learning and Data Mining for Sports Analytics co-located with 2015 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2015), 2015

2013
Key Point Selection and Clustering of Swimmer Coordination Through Sparse Fisher-EM.
Proceedings of the 2nd Workshop on Machine Learning and Data Mining for Sports Analytics co-located with 2013 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2013), 2013

A Hidden Markov Model of the breaststroke swimming temporal phases using wearable inertial measurement units.
Proceedings of the 2013 IEEE International Conference on Body Sensor Networks, 2013


  Loading...