MLOps25@ECAI 2025
Machine Learning Operations 2025

Table of Contents

• Summary: There were 13 papers submitted for peer-review to this workshop. Out of these, 10 papers were accepted for this volume, 8 as regular papers and 2 as short papers.

Papers

• Feasibility of MLOps-based Healthcare Pipelines in Ensuring the Cybersecurity Framework 1-12
  Antonio Robustelli, Alberto Marfoglia, Christian D'Errico, Sabato Mellone, Antonella Carbonaro
• Towards a Process Reference Model for Machine Learning Applications: Challenges and Opportunities 13-24
  Antonio Crespi Tobeña, Maria Monserrat Barceló, Antonia Mas Pichaco, Antoni-Lluís Mesquida Calafat
• A LLMOps-Driven Framework for Clinical Data Harmonization 25-36
  Alberto Marfoglia, Antonio Robustelli, Christian D'Errico, Sabato Mellone, Antonella Carbonaro
• Detecting Semantic Data Smells with BERT: A Transformer-Based Approach to Data Quality 37-47
  Gilberto Recupito, Giammaria Giordano, Dario Di Nucci, Fabio Palomba
• Automated Code Translation using an Engineering-Driven Pipeline Approach of Language Models (short paper) 48-54
  Tibo Bruneel, Welf Löwe, Morgan Ericsson, Jonas Nordqvist, Diego Perez-Palacin
• SkeltyMLOps: Orchestrating Collaborative MLOps Activities 55-66
  Charbel Daoud, Danielle Azar, Julie Boiché, Christelle Urtado, Sylvain Vauttier
• Towards a Structured AI Development Lifecycle for Reusable AI Products in the Public Sector 67-79
  Albana Celepija, Bruno Lepri, Raman Kazhamiakin
• MLOps-Driven Automation of Regulatory Documentation for AI-Based Medical Software (short paper) 80-84
  Fabrizio Rosmarino, Giulio Mallardi, Luigi Quaranta, Filippo Lanubile
• A Serverless Cloud-to-Thing Framework for TinyMLOps Workflows 85-96
  Davide Loconte, Saverio Ieva, Agnese Pinto, Filippo Gramegna, Giuseppe Loseto, Floriano Scioscia, Michele Ruta
• Disentangled Latent Space-based Drift Detection for Efficient Model Monitoring in Edge MLOps 97-109
  Lara Luys, Mathias Verbeke