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Robert Lakatos

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2024
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Robert Lakatos, Gergo Bogacsovics, Balázs Harangi, István Lakatos, Attila Tiba, János Tóth, Marianna Szabo, András Hajdu:
A Machine Learning-Based Pipeline for the Extraction of Insights from Customer Reviews. Big Data Cogn. Comput. 8(3): 20 (2024)
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Robert Lakatos, Péter Pollner, András Hajdu, Tamas Joo:
A multimodal deep learning architecture for smoking detection with a small data approach. Frontiers Artif. Intell. 7 (2024)
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  - journals/corr/abs-2403-09727
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Robert Lakatos, Péter Pollner, András Hajdu, Tamas Joo:
Investigating the performance of Retrieval-Augmented Generation and fine-tuning for the development of AI-driven knowledge-based systems. CoRR abs/2403.09727 (2024)
2023
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  - journals/corr/abs-2306-07786
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Robert Lakatos, Gergo Bogacsovics, Balázs Harangi, István Lakatos, Attila Tiba, János Tóth, Marianna Szabo, András Hajdu:
A Cloud-based Machine Learning Pipeline for the Efficient Extraction of Insights from Customer Reviews. CoRR abs/2306.07786 (2023)
[i1]
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  - journals/corr/abs-2309-10561
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Robert Lakatos, Péter Pollner, András Hajdu, Tamas Joo:
A multimodal deep learning architecture for smoking detection with a small data approach. CoRR abs/2309.10561 (2023)

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