MLOps@ECAI - researchr conference series publications

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Viewing Publication 1 - 11 from 11

2025

Automated Code Translation using an Engineering-Driven Pipeline Approach of Language ModelsTibo Bruneel, Welf Löwe, Morgan Ericsson, Jonas Nordqvist, Diego Perez-Palacin. mlops 2025: 48-54 [doi]

Towards a Structured AI Development Lifecycle for Reusable AI Products in the Public SectorAlbana Celepija, Bruno Lepri, Raman Kazhamiakin. mlops 2025: 67-79 [doi]

SkeltyMLOps: Orchestrating Collaborative MLOps ActivitiesCharbel Daoud, Danielle Azar, Julie Boiché, Christelle Urtado, Sylvain Vauttier. mlops 2025: 55-66 [doi]

A Serverless Cloud-to-Thing Framework for TinyMLOps WorkflowsDavide Loconte, Saverio Ieva, Agnese Pinto, Filippo Gramegna, Giuseppe Loseto, Floriano Scioscia, Michele Ruta. mlops 2025: 85-96 [doi]

Disentangled Latent Space-based Drift Detection for Efficient Model Monitoring in Edge MLOpsLara Luys, Mathias Verbeke. mlops 2025: 97-109 [doi]

A LLMOps-Driven Framework for Clinical Data HarmonizationAlberto Marfoglia, Antonio Robustelli, Christian D'Errico, Sabato Mellone, Antonella Carbonaro. mlops 2025: 25-36 [doi]

Proceedings of the 1st ECAI Workshop on Machine Learning Operations (MLOps25@ECAI 2025) co-located with 28th European Conference on Artificial Intelligence (ECAI 2025), Bologna, Italy, October 25, 2025Luigi Quaranta, Giulio Mallardi, Antonella Carbonaro, editors, Volume 4109 of CEUR Workshop Proceedings, CEUR-WS.org, 2025. [doi]

Detecting Semantic Data Smells with BERT: A Transformer-Based Approach to Data QualityGilberto Recupito, Giammaria Giordano, Dario Di Nucci, Fabio Palomba. mlops 2025: 37-47 [doi]

Feasibility of MLOps-based Healthcare Pipelines in Ensuring the Cybersecurity FrameworkAntonio Robustelli, Alberto Marfoglia, Christian D'Errico, Sabato Mellone, Antonella Carbonaro. mlops 2025: 1-12 [doi]

MLOps-Driven Automation of Regulatory Documentation for AI-Based Medical SoftwareFabrizio Rosmarino, Giulio Mallardi, Luigi Quaranta, Filippo Lanubile. mlops 2025: 80-84 [doi]

Towards a Process Reference Model for Machine Learning Applications: Challenges and OpportunitiesAntonio Crespí Tobeña, Maria Monserrat Barceló, Antònia Mas Pichaco, Antoni Lluís Mesquida Calafat. mlops 2025: 13-24 [doi]

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