Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Abraham Yosipof"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract The spread of misinformation on social media can lead to inappropriate behaviors that can make disasters worse. In our study, we focused on tweets containing misinformation about earthquake predictions and analyzed their dynamics. To this en
Externí odkaz:
https://doaj.org/article/766d1608908147abb1f87f9c6ab36ae2
Publikováno v:
Current Research in Environmental Sustainability, Vol 7, Iss , Pp 100256- (2024)
Social media platforms have a key role in spreading narratives about climate change, and therefore it is crucial to understand the discussion about climate change in social media. The discussion on anthropogenic climate change in general, and social
Externí odkaz:
https://doaj.org/article/486d528e75fd4d5abcc172f3956d78f0
Publikováno v:
Social Media + Society, Vol 8 (2022)
The coronavirus disease 2019 (COVID-19) pandemic was an unexpected event and resulted in catastrophic consequences with long-lasting behavioral effects. People began to seek explanations for different aspects of COVID-19 and resorted to conspiracy na
Externí odkaz:
https://doaj.org/article/5fd844ef2eac483ba4563f39be4a8f7a
Publikováno v:
Journal of Cheminformatics, Vol 9, Iss 1, Pp 1-15 (2017)
Abstract An important aspect of chemoinformatics and material-informatics is the usage of machine learning algorithms to build Quantitative Structure Activity Relationship (QSAR) models. The RANdom SAmple Consensus (RANSAC) algorithm is a predictive
Externí odkaz:
https://doaj.org/article/61e154fc91284dcd94accda3886feda8
Publikováno v:
Frontiers in Chemistry, Vol 6 (2018)
Data mining approaches can uncover underlying patterns in chemical and pharmacological property space decisive for drug discovery and development. Two of the most common approaches are visualization and machine learning methods. Visualization methods
Externí odkaz:
https://doaj.org/article/b7aef9ae6a694e588879a424258f5cf3
Autor:
Malkeet Singh Bahia, Omer Kaspi, Meir Touitou, Idan Binayev, Seema Dhail, Jacob Spiegel, Netaly Khazanov, Abraham Yosipof, Hanoch Senderowitz
Publikováno v:
Molecular Informatics. 42
QSAR models are widely and successfully used in many research areas. The success of such models highly depends on molecular descriptors typically classified as 1D, 2D, 3D, or 4D. While 3D information is likely important, e.g., for modeling ligand-pro
Publikováno v:
IFIP Advances in Information and Communication Technology ISBN: 9783031341106
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1632f615d31db0642f55ff466a4b5372
https://doi.org/10.1007/978-3-031-34111-3_36
https://doi.org/10.1007/978-3-031-34111-3_36
Autor:
Or Elroy, Abraham Yosipof
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031159305
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Artificial Neural Networks and Machine Learning – ICANN 2022
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Artificial Neural Networks and Machine Learning – ICANN 2022
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1ecff67bb34c10e3cdc0c11f09427a9
https://doi.org/10.1007/978-3-031-15931-2_16
https://doi.org/10.1007/978-3-031-15931-2_16
Publikováno v:
Journal of Cheminformatics, Vol 9, Iss 1, Pp 1-15 (2017)
Journal of Cheminformatics
Journal of Cheminformatics
An important aspect of chemoinformatics and material-informatics is the usage of machine learning algorithms to build Quantitative Structure Activity Relationship (QSAR) models. The RANdom SAmple Consensus (RANSAC) algorithm is a predictive modeling
Crowdfunding is an innovative and relatively new financial method that connects entrepreneurs and investors through the Internet. It allows entrepreneurs to raise often small amounts of funds from a large number of investors to finance start-ups. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb4bc679b5e8c1d8bb6316da15ecc882
https://shura.shu.ac.uk/25205/3/Berger_MiningAndInvestigating(AM).pdf
https://shura.shu.ac.uk/25205/3/Berger_MiningAndInvestigating(AM).pdf