Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Dimitrios Effrosynidis"'
Publikováno v:
Information, Vol 15, Iss 7, p 393 (2024)
In the realm of disaster-related tweet classification, this study presents a comprehensive analysis of various machine learning algorithms, shedding light on crucial factors influencing algorithm performance. The exceptional efficacy of simpler model
Externí odkaz:
https://doaj.org/article/ba94ffbd7b5c4ab5bc9c8c8e2f6471e4
Publikováno v:
PLoS ONE, Vol 18, Iss 10, p e0293151 (2023)
[This corrects the article DOI: 10.1371/journal.pone.0274213.].
Externí odkaz:
https://doaj.org/article/504a93adda5e4c8e92ebd03bfd561baa
Publikováno v:
PLoS ONE, Vol 17, Iss 9 (2022)
How do climate change deniers differ from believers? Is there any correlation between human sentiment and deviations from historic temperature? We answer nine such questions using 13 years of Twitter data and 15 million tweets. Seven aspects are expl
Externí odkaz:
https://doaj.org/article/55b5db83f6054ba7ba0e7c3cf1fb0ec0
Publikováno v:
Data in Brief, Vol 25, Iss , Pp - (2019)
The dataset includes 1,771 locations of major seagrass families (Cymodoceaceae, Zosteraceae, Posidoniaceae, Hydrocharitaceae, Ruppiaceae), which are further divided into the species they include, as well as 1,284 locations of seagrass absence (algori
Externí odkaz:
https://doaj.org/article/f6c4355ac8e44d03a620dc44e4f9559f
Publikováno v:
Applied Sciences, Vol 10, Iss 24, p 8900 (2020)
In this work a fish species distribution model (SDM) was developed, by merging species occurrence data with environmental layers, with the scope to produce high resolution habitability maps for the whole Mediterranean Sea. The final model is capable
Externí odkaz:
https://doaj.org/article/6147e9a0e5434e6d82d17d523bc8487c
Time series and regression methods for univariate environmental forecasting: An empirical evaluation
Publikováno v:
Science of The Total Environment. 875:162580
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1bcb3d2d2c719710f40bf721c4b9430
https://doi.org/10.1016/j.scitotenv.2023.162580
https://doi.org/10.1016/j.scitotenv.2023.162580
Publikováno v:
Expert Systems with Applications. 204:117541
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee4972e8339a82262f740cf32d122b47
https://doi.org/10.1016/j.eswa.2022.117541
https://doi.org/10.1016/j.eswa.2022.117541
Publikováno v:
SemEval@ACL/IJCNLP
This paper describes the approach that was developed for SemEval 2021 Task 7 (Hahackathon: Incorporating Demographic Factors into Shared Humor Tasks) by the DUTH Team. We used and compared a variety of preprocessing techniques, vectorization methods,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa4988d10ab8788929ceb7576206c9ac
https://doi.org/10.18653/v1/2021.semeval-1.157
https://doi.org/10.18653/v1/2021.semeval-1.157
Publikováno v:
Expert Systems with Applications. 110:298-310
Pre-processing is the first step in text classification, and choosing right pre-processing techniques can improve classification effectiveness. We experimentally compare 16 commonly used pre-processing techniques on two Twitter datasets for Sentiment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d74d8eac3f84f2a2c0f0462febdd0016
https://doi.org/10.1016/j.eswa.2018.06.022
https://doi.org/10.1016/j.eswa.2018.06.022
Autor:
Avi Arampatzis, Dimitrios Effrosynidis
Publikováno v:
Ecological Informatics. 61:101224
We present a comprehensive experimental study of 12 individual as well as 6 ensemble methods for feature selection for classification tasks on environmental data, more specifically on the species distribution modeling domain. The individual methods s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3566daa67829941f493e90ccff48d68
https://doi.org/10.1016/j.ecoinf.2021.101224
https://doi.org/10.1016/j.ecoinf.2021.101224