Róbert Pethes

Róbert Pethes
Óbudai Egyetem

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11
Publications
663
Reads
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46
Citations
Citations since 2016
5 Research Items
40 Citations
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20162017201820192020202120220246810

Publications

Publications (11)
Conference Paper
Full-text available
Modelling human dynamics is an emerging field, where researchers try to develop mathematical and computational models about social phenomenon. However, human society is extremely complex, therefore if we would like to obtain a mathematically tractable model, then we have to cut down the complexity. It is a common approach to modelling only a partic...
Article
Full-text available
Infectious Hospital Agents (IHA) is an individual-based simulation framework that is able to model wide range of infection spreading scenarios in the hospital environment. The simulations are agent-based simulations driven by stochastic events, the evolution of the model is tracked in discrete time. Our aim was to build a general, customisable and...
Article
This study investigated the effectiveness of targeting hand hygiene technique using a new training device that provides objective, personal and quantitative feedback. One hundred and thirty-six healthcare workers in three Hungarian hospitals participated in a repetitive hand hygiene technique assessment study. Ultraviolet (UV)-labelled hand rub was...
Conference Paper
Full-text available
Our approach to the ImageCLEF 2010 tasks is based on Histogram of Oriented Gradients descriptors (HOG) and Okapi BM25 based text retrieval. We extracted feature vectors to describe the visual content of an image region or the entire image. We trained a Gaussian Mixture Model (GMM) to cluster the feature vectors extracted from the image regions. To...
Conference Paper
Full-text available
We summarize the fully automatic approach to the TRECVID 2010 Known Item (KIS) and Instance Search (INS) tasks of the budapest_acad team in the JUMAS Consortium with Fondazione Bruno Kessler who provided the ASR technologies. Our submissions summarized in Table 1 use linear combinations of the following basic techniques. • Meta: Text retrieval base...
Conference Paper
Full-text available
Our approach to the ImageCLEF 2010 tasks is based on Histogram of Oriented Gra-dients descriptors (HOG) and Okapi BM25 based text retrieval. We extracted feature vectors to describe the visual content of an image region or the entire image. We trained a Gaussian Mixture Model (GMM) to cluster the feature vectors extracted from the image regions. To...

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