A Cloud-based Machine Learning Pipeline for the Efficient Extraction of Insights from Customer Reviews. - Robert Lakatos; Gergo Bogacsovics; Balázs Harangi; István Lakatos; Attila Tiba; János Tóth; Marianna Szabo; András Hajdu (CoRR, 2023)

Investigating the performance of Retrieval-Augmented Generation and fine-tuning for the development of AI-driven knowledge-based systems. - Robert Lakatos; Péter Pollner; András Hajdu; Tamas Joo (CoRR, 2024)

A multimodal deep learning architecture for smoking detection with a small data approach. - Robert Lakatos; Péter Pollner; András Hajdu; Tamas Joo (Frontiers Artif. Intell., 2024)

A Machine Learning-Based Pipeline for the Extraction of Insights from Customer Reviews. - Robert Lakatos; Gergo Bogacsovics; Balázs Harangi; István Lakatos; Attila Tiba; János Tóth; Marianna Szabo; András Hajdu (Big Data Cogn. Comput., 2024)

Investigating the Performance of Retrieval-Augmented Generation and Domain-Specific Fine-Tuning for the Development of AI-Driven Knowledge-Based Systems. - Robert Lakatos; Péter Pollner; András Hajdu; Tamas Joo (Mach. Learn. Knowl. Extr., 2025)