Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Saman Haratizadeh"'
Publikováno v:
2023 28th International Computer Conference, Computer Society of Iran (CSICC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::234d987594341d8ca5840d461908bdf3
https://doi.org/10.1109/csicc58665.2023.10105331
https://doi.org/10.1109/csicc58665.2023.10105331
Publikováno v:
2021 12th International Conference on Information and Knowledge Technology (IKT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd9d8221abd6062c3a3c4f2ff670824e
https://doi.org/10.1109/ikt54664.2021.9686013
https://doi.org/10.1109/ikt54664.2021.9686013
Autor:
Alireza Jafari, Saman Haratizadeh
Publikováno v:
Engineering Applications of Artificial Intelligence. 116:105452
The importance of considering related stocks data for the prediction of stock price movement has been shown in many studies, however, advanced graphical techniques for modeling, embedding and analyzing the behavior of interrelated stocks have not bee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::818d98fde5bb29975a700d87659ab455
https://doi.org/10.1016/j.engappai.2022.105452
https://doi.org/10.1016/j.engappai.2022.105452
Autor:
Ehsan Hoseinzade, Saman Haratizadeh
Publikováno v:
Expert Systems with Applications. 129:273-285
Feature extraction from financial data is one of the most important problems in market prediction domain for which many approaches have been suggested. Among other modern tools, convolutional neural networks (CNN) have recently been applied for autom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::497a30ed1142b268680533b9ff643ca7
https://doi.org/10.1016/j.eswa.2019.03.029
https://doi.org/10.1016/j.eswa.2019.03.029
Publikováno v:
Expert Systems with Applications. 116:161-171
Pairwise preference data is one of several kinds of feedback data that many modern intelligent systems gather and process in order to help people make better decisions. Recommender systems are of main categories of such intelligent systems. An emergi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51ebe2f5bb9b393a0c2da9859b741c3d
https://doi.org/10.1016/j.eswa.2018.09.013
https://doi.org/10.1016/j.eswa.2018.09.013
Graph-based recommender systems (GRSs) analyze the structural information in the graphical representation of data to make better recommendations, especially when the direct user-item relation data is sparse. Ranking-oriented GRSs that form a major cl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04c54d82fda24c250b3e18e54a3f0390
http://arxiv.org/abs/2007.16173
http://arxiv.org/abs/2007.16173
Publikováno v:
Expert Systems with Applications. 105:159-173
Market prediction has been an important machine learning research topic in recent decades. A neglected issue in prediction is having a model that can simultaneously pay attention to the interaction of global markets along historical data of the targe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f215a2308fddf55750a2cf2967e8becd
https://doi.org/10.1016/j.eswa.2018.03.037
https://doi.org/10.1016/j.eswa.2018.03.037
Autor:
Saman Haratizadeh, Bita Shams
Publikováno v:
Knowledge-Based Systems. 152:172-185
Neighbor-based collaborative ranking algorithms exploit users’ pairwise preferences to predict how they will rank items. Current neighbor-based algorithms lie in the category of user-based recommendation methods: they calculate users’ similaritie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd5cb97aac963932e3ee04a0f008c0fe
https://doi.org/10.1016/j.knosys.2018.04.012
https://doi.org/10.1016/j.knosys.2018.04.012
Autor:
Saman Haratizadeh, Bita Shams
Publikováno v:
Information Sciences. 432:116-132
GRank is a recent graph-based recommendation approach the uses a novel heterogeneous information network to model users' priorities and analyze it to directly infer a recommendation list. Unfortunately, GRank neglects the semantics behind different t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb68a6821bfad6f767030df9e515f20f
https://doi.org/10.1016/j.ins.2017.11.060
https://doi.org/10.1016/j.ins.2017.11.060
Autor:
Bita Shams, Saman Haratizadeh
Publikováno v:
Journal of Spatial Science. 63:115-134
Automatic discovery of significant locations from row GPS data is the first phase of mining mobility pattern and developing location-aware services. Unfortunately, current location discovery algorithms are ineffective when locations have different lo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::529c845cace6f4a2b898370f7150ca66
https://doi.org/10.1080/14498596.2017.1327374
https://doi.org/10.1080/14498596.2017.1327374