Skip to content
Descubridor Institucional UMAR
Inicio
Búsqueda avanzada
Explorar
Inicio
Búsqueda avanzada
Explorar
Login
Language
English
Deutsch
Español
Français
Italiano
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Tag
Find
Advanced
Design and Implementation of an MLOps Pipeline for Audio-Based Crowd Sentiment Analysis in Stadiums
Design and Implementation of an MLOps Pipeline for Audio-Based Crowd Sentiment Analysis in Stadiums
Fuente:
Zenodo
Saved in:
Bibliographic Details
Main Author:
Isselkou, Ahmed
Format:
Recurso digital
Language:
English
Published:
Zenodo
2025
Online Access:
Acceder al recurso
Tags:
Add Tag
No Tags, Be the first to tag this record!
Cite this
Text this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Save to List
Permanent link
Holdings
Description
Comments
Similar Items
Staff View
Internet
https://doi.org/10.5281/zenodo.17292447
Similar Items
Leveraging Audio Representations for Vibration-Based Crowd Monitoring in Stadiums
by: Chang, Yen Cheng, et al.
Published: (2025)
Ethical and Explainable AI in Reusable MLOps Pipelines
by: Hossain, Rakib, et al.
Published: (2026)
SmartMLOps Studio: Design of an LLM-Integrated IDE with Automated MLOps Pipelines for Model Development and Monitoring
by: Jin, Jiawei, et al.
Published: (2025)
Stadium
Published: (2022)
Incremental Learning-Enabled MLOps Pipeline for RIWO's Industrial Image Classification
by: Shafiee, Khadijeh
Published: (2025)