{"id":1200,"date":"2026-01-25T19:30:23","date_gmt":"2026-01-25T19:30:23","guid":{"rendered":"https:\/\/www.cs.ubbcluj.ro\/~meco\/facilitating-model-training-with-automated-techniques-2023\/"},"modified":"2026-02-01T12:08:11","modified_gmt":"2026-02-01T12:08:11","slug":"facilitating-model-training-with-automated-techniques-2023","status":"publish","type":"post","link":"https:\/\/www.cs.ubbcluj.ro\/~meco\/facilitating-model-training-with-automated-techniques-2023\/","title":{"rendered":"Facilitating Model Training With Automated Techniques (2023)"},"content":{"rendered":"<div class=\"entry-content\">\n<p>Studia Universitatis Babe\u0219-Bolyai Informatica<\/p>\n<h2>Authors<\/h2>\n<p>B. Mursa, M\u00e1ty\u00e1s Kuti-Kresz\u00e1cs, Cristiana Moroz-Dubenco, Florentin Bota<\/p>\n<h2>Abstract<\/h2>\n<p>Automating artificial intelligence (AI) model training has emerged as a significant challenge in the field of automation. The complete pipeline from raw data to model deployment poses the need to define robust processes that ensure the efficiency of the services that expose the models. This paper introduces a generic architecture for automating data preparation, training of models, selection of models, and deployment of models as web services for third-party consumption using Microsoft Azure Machine Learning\u2019s (AzureML) CI\/CD tools. We conducted a practical experiment utilizing AzureML pipelines with predefined and custom modules, demonstrating its readiness for integration into any production application. We also successfully integrated this architecture into a real-world product designed for industrial forecasting. This practical implementation demonstrates the effectiveness and adaptability of our approach, indicating its potential to address diverse training needs.<\/p>\n<h2>Citation<\/h2>\n<pre class=\"wp-block-preformatted\">@Inproceedings{Mursa2023FacilitatingMT,\n author = {B. Mursa and M\u00e1ty\u00e1s Kuti-Kresz\u00e1cs and Cristiana Moroz-Dubenco and Florentin Bota},\n booktitle = {Studia Universitatis Babe\u0219-Bolyai Informatica},\n title = {Facilitating Model Training With Automated Techniques},\n year = {2023}\n}<\/pre>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Automating artificial intelligence (AI) model training has emerged as a significant challenge in the field of automation. The complete pipeline from raw data to model deployment poses the need to define robust processes that ensure the efficiency of the services that expose the models. This paper introduces a generic architecture for automating data preparation, training of models, selection of models, and deployment of models as web services for third-party consumption using Microsoft Azure Machine Learning\u2019s (AzureML) CI\/CD tools. We conducted a practical experiment utilizing AzureML pipelines with predefined and custom modules, demonstrating its readiness for integration into any production application. We also successfully integrated this architecture into a real-world product designed for industrial forecasting. This practical implementation demonstrates the effectiveness and adaptability of our approach, indicating its potential to address diverse training needs.<\/p>\n","protected":false},"author":6,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":[],"categories":[4],"tags":[62,11,26],"_links":{"self":[{"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/posts\/1200"}],"collection":[{"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/comments?post=1200"}],"version-history":[{"count":1,"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/posts\/1200\/revisions"}],"predecessor-version":[{"id":1478,"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/posts\/1200\/revisions\/1478"}],"wp:attachment":[{"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/media?parent=1200"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/categories?post=1200"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/tags?post=1200"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}