Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Adir Solomon"'
Publikováno v:
PLoS ONE, Vol 18, Iss 11, p e0293629 (2023)
Drug-drug interactions (DDIs) are a critical component of drug safety surveillance. Laboratory studies aimed at detecting DDIs are typically difficult, expensive, and time-consuming; therefore, developing in-silico methods is critical. Machine learni
Externí odkaz:
https://doaj.org/article/ade9cc14b0b64503a7b5a7a2da9241f0
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:8806-8813
Basketball is one of the most popular types of sports in the world. Recent technological developments have made it possible to collect large amounts of data on the game, analyze it, and discover new insights. We propose a novel approach for modeling
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a38c7839043077e08c2711381804826e
https://doi.org/10.1609/aaai.v36i8.20861
https://doi.org/10.1609/aaai.v36i8.20861
Publikováno v:
Expert Systems with Applications. 199:117042
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19cd21e5fb7a39548b73ccf2ffa63dd2
https://doi.org/10.1016/j.eswa.2022.117042
https://doi.org/10.1016/j.eswa.2022.117042
Autor:
Adir Solomon, Michael Michaelshvili, Ron Bitton, Bracha Shapira, Lior Rokach, Rami Puzis, Asaf Shabtai
Publikováno v:
Knowledge-Based Systems. 246:108709
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45f466f2154469f9041d5fbda9c8b3bf
https://doi.org/10.1016/j.knosys.2022.108709
https://doi.org/10.1016/j.knosys.2022.108709
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f694292e12bd858977b0a7f27343a811
https://doi.org/10.2139/ssrn.3996852
https://doi.org/10.2139/ssrn.3996852
Publikováno v:
CIKM
The identification of criminals' behavioral patterns can be helpful for solving crimes. Currently, in order to perform this task, police investigators manually extract criminals' behavioral patterns (also referred to as criminals' modus operandi) fro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eae56b9c2c7c3e882820b1516af92364
https://doi.org/10.1145/3340531.3412694
https://doi.org/10.1145/3340531.3412694
A context-aware recommender system (CARS) applies sensing and analysis of user context to provide personalized services. The contextual information can be driven from sensors in order to improve the accuracy of the recommendations. Yet, generating ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b71d5bda7c0b1157a9b2e99934982c6
http://arxiv.org/abs/2007.15409
http://arxiv.org/abs/2007.15409
Publikováno v:
Computers, Environment and Urban Systems. 87:101596
The ability to predict human mobility, i.e., transitions between a user's significant locations (the home, workplace, etc.) can be helpful in a wide range of applications, including targeted advertising, personalized mobile services, and transportati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a999c80372ab9bd75f94d4a9964c22ca
https://doi.org/10.1016/j.compenvurbsys.2021.101596
https://doi.org/10.1016/j.compenvurbsys.2021.101596
Publikováno v:
UMAP
Inferring socio-demographic attributes of users is an important and challenging task that could help with personalization, recommendation, advertising, etc. Sensor data collected from mobile devices can be utilized for inferring such attributes. Prev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b85e4de859becca472c829f74ee0132
https://doi.org/10.1145/3209219.3209224
https://doi.org/10.1145/3209219.3209224