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RIS export - Lakatos Róbert
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2025
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Investigating the Performance of Retrieval-Augmented Generation and Domain-Specific Fine-Tuning for the Development of AI-Driven Knowledge-Based Systems
author(s):
Lakatos, R., Pollner, P., Hajdu, A., Joó, T.
published:
Machine Learning and Knowledge Extraction
, 2025
type:
article
2024
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A Machine Learning-Based Pipeline for the Extraction of Insights from Customer Reviews
author(s):
Lakatos, R., Bogacsovics, G., Harangi, B., Lakatos, I., Tiba, A., Tóth, J., Szabó, M., Hajdu, A.
published:
Big Data and Cognitive Computing
, 2024
type:
article
A multimodal deep learning architecture for smoking detection with a small data approach
author(s):
Lakatos, R., Pollner, P., Hajdu, A., Joó, T.
published:
Frontiers in Artificial Intelligence
, 2024
type:
article
Assessing Conventional and Deep Learning-Based Approaches for Named Entity Recognition in Unstructured Hungarian Medical Reports
author(s):
Bogacsovics, G., Harangi, B., Beregi-Kovács, M., Kupás, D., Lakatos, R., Serbán, N. D., Tiba, A., Tóth, J.
published:
IEEE, Piscataway
, 2024
type:
book chapter
Designing Prompts and Creating Cleaned Scientific Text for Retrieval Augmented Generation for More Precise Responses from Generative Large Language Models
author(s):
Lakatos, R., Urbán, E. K., Szabó, Z. J., Pozsga, J., Csernai, E., Hajdu, A.
published:
Institute of Electrical and Electronics Engineers, Piscataway (NJ)
, 2024
type:
book chapter
Investigating the Influence of Hyperparameters on the Optimal Time-Series Prediction Ability of Generative Large Language Models
author(s):
Pándy, Á., Lakatos, R., Pollner, P., Csernai, E., Hajdu, A.
published:
Institute of Electrical and Electronics Engineers (IEEE), Piscataway
, 2024
type:
book chapter
Precíziós gazdálkodásban használható adatelemzés alapú növénytermesztési döntéstámogató rendszer fejlesztés
author(s):
Nagy, J., Hajdu, A., Bogacsovics, G., Bojtor, C., Illés, Á., Lakatos, R., Mészáros, L.
published:
Magyar Agrár- és Élettudományi Egyetem Georgikon Campus, Keszthely
, 2024
type:
book chapter
2022
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Predicting the direction of the oil price trend using sentiment analysis
author(s):
Lakatos, R., Bogacsovics, G., Hajdu, A.
published:
Institute of Electrical and Electronics Engineers (IEEE), Piscataway
, 2022
type:
book chapter
2021
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Adatelemzési folyamat és keretrendszer a közigazgatás számára
author(s):
Bogacsovics, G., Hajdu, A., Harangi, B., Lakatos, I., Lakatos, R., Szabó, M., Tiba, A., Tóth, J., Tarcsi, Á.
published:
KözigazgatásTudomány
, 2021
type:
article
Napelemfarmok Magyarország területén történő elhelyezését segítő döntéstámogató rendszer fejlesztése
author(s):
Bogacsovics, G., Hajdu, A., Harangi, B., Lakatos, I., Lakatos, R., Szabó, M., Tiba, A., Tóth, J.
published:
KözigazgatásTudomány
, 2021
type:
article
Replacing the SIR epidemic model with a neural network and training it further to increase prediction accuracy
author(s):
Bogacsovics, G., Hajdu, A., Lakatos, R., Beregi-Kovács, M., Tiba, A., Tomán, H.
published:
Annales Mathematicae et Informaticae
, 2021
type:
article
2016
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BPMN 2.0 a könyvtári minőségbiztosításban
author(s):
Soós, M. E., Lakatos, R., Molnár, G., Takácsné Bubnó, K.
published:
NIIF, Budapest
, 2016
type:
book chapter
BPMN 2.0 a könyvtári minőségbiztosításban
author(s):
Soós, M. E., Lakatos, R., Molnár, G., Takácsné Bubnó, K.
published:
Tudományos és műszaki tájékoztatás
, 2016
type:
article
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