Using Machine Learning Methods in Environmental Risk Assessment -- Overview

HUDÍK, Tomáš. Using Machine Learning Methods in Environmental Risk Assessment -- Overview. In EMEC7 The Book of Abstracts. Brno: Brno University of Technology, Faculty of Chemistry, 2006, p. 78. ISBN 80-214-3320-5.

Basic information

• Original name: Using Machine Learning Methods in Environmental Risk Assessment -- Overview
• Name in Czech: Použití metod strojového učení při vyhodnocování ekologických rizik
• Authors: HUDÍK, Tomáš (703 Slovakia, guarantor).
• Edition: Brno, EMEC7 The Book of Abstracts, p. 78-78, 2006.
• Publisher: Brno University of Technology, Faculty of Chemistry

Other information

• Original language: English
• Type of outcome: Proceedings paper
• Field of Study: 10201 Computer sciences, information science, bioinformatics
• Country of publisher: Czech Republic
• Confidentiality degree: is not subject to a state or trade secret
• RIV identification code: RIV/00216224:14330/06:00017823
• Organization unit: Faculty of Informatics
• ISBN: 80-214-3320-5
• Keywords in English: machine learning; environmental risk assessment
• Tags: environmental risk assessment, machine learning
• Tags: Reviewed

Abstract

In the past few years the evolution of Machine Learning (ML) techniques was significant. The number of fields, where ML is employed, is still continuously growing. One of these fields is Environmental Risk Assessment (ERA). The nature of many problems from the field (ERA) is ''machine learning-friendly''. A big impact on this two jointed fields had the Fourth International Workshop on Environmental Applications of Machine Learning in 2004, which was held in Slovenia, and also the scientific journals Ecological Modeling and Science of the Total Environment. In the next lines it will be shown how and on which problems ERA uses ML. In the conclusion will be discussed some possible directions of feature researches.

Abstract (in Czech)

V minulých letech značně vzrástl vplyv ML. Počet oborů, kde je ML používáno soustavně roste. Jedním z nich je i přirazení ekologických rizik(ERA). Povaha mnohých ERA problemů je možná zpracovávat pomocí ML techník. Velký vlyv na spojení techto vědných oborů měl Fourth International Workshop on Environmental Applications of Machine Learning v 2004. Závěrem příspěvku jsou diskutovány další možné využití ML v ERA.

Links

• MSM0021622412, plan (intention): Name: Interakce mezi chemickými látkami, prostředím a biologickými systémy a jejich důsledky na globální, regionální a lokální úrovni (INCHEMBIOL) (Acronym: INCHEMBIOL)

Investor: Ministry of Education, Youth and Sports of the CR, Interactions among the chemicals, environment and biological systems and their consequences on the global, regional and local scales (INCHEMBIOL)