Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Meysam Asgari-Chenaghlu"'
Autor:
Meysam Asgari-Chenaghlu, Mohammad-Reza Feizi-Derakhshi, Leili Farzinvash, Mohammad-Ali Balafar, Cina Motamed
Publikováno v:
Complexity, Vol 2021 (2021)
Social networks are real-time platforms formed by users involving conversations and interactions. This phenomenon of the new information era results in a very huge amount of data in different forms and modalities such as text, images, videos, and voi
Externí odkaz:
https://doaj.org/article/3dd1232c7c58408bb37352984b904e43
Take a problem-solving approach to learning all about transformers and get up and running in no time by implementing methodologies that will build the future of NLPKey FeaturesExplore quick prototyping with up-to-date Python libraries to create effec
Autor:
Matej Vitek, Abhijit Das, Diego Rafael Lucio, Luiz Antonio Zanlorensi, David Menotti, Jalil Nourmohammadi Khiarak, Mohsen Akbari Shahpar, Meysam Asgari-Chenaghlu, Farhang Jaryani, Juan E. Tapia, Andres Valenzuela, Caiyong Wang, Yunlong Wang, Zhaofeng He, Zhenan Sun, Fadi Boutros, Naser Damer, Jonas Henry Grebe, Arjan Kuijper, Kiran Raja, Gourav Gupta, Georgios Zampoukis, Lazaros Tsochatzidis, Ioannis Pratikakis, S. V. Aruna Kumar, B. S. Harish, Umapada Pal, Peter Peer, Vitomir Struc
Publikováno v:
IEEE Transactions on Information Forensics and Security. 18:190-205
Bias and fairness of biometric algorithms have been key topics of research in recent years, mainly due to the societal, legal and ethical implications of potentially unfair decisions made by automated decision-making models. A considerable amount of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ed1ded32b49539d4e98523b34685668
https://doi.org/10.1109/tifs.2022.3216468
https://doi.org/10.1109/tifs.2022.3216468
Autor:
M. Reza Feizi-Derakhshi, Meysam Asgari-Chenaghlu, Leili Farzinvash, Cina Motamed, Mohammad Ali Balafar
Publikováno v:
Neural Computing and Applications. 34:1905-1922
Named entity recognition (NER) from social media posts is a challenging task. User-generated content that forms the nature of social media is noisy and contains grammatical and linguistic errors. This noisy content makes tasks such as NER much harder
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44a856651d5a4571af255c4a262874d8
https://doi.org/10.1007/s00521-021-06488-4
https://doi.org/10.1007/s00521-021-06488-4
Autor:
Ali Najafi, Araz Gholipour-Shilabin, Rahim Dehkharghani, Ali Mohammadpur-Fard, Meysam Asgari-Chenaghlu
Publikováno v:
Annals of Data Science.
Topic detection is the task of determining and tracking hot topics in social media. Twitter is arguably the most popular platform for people to share their ideas with others about different issues. One such prevalent issue is the COVID-19 pandemic. D
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f468242dd830cee9a13b7087d4578b35
https://doi.org/10.1007/s40745-022-00426-4
https://doi.org/10.1007/s40745-022-00426-4
Autor:
Zoleikha Jahanbakhsh-Nagadeh, Meysam Asgari-Chenaghlu, Majid Ramezani, Mohammad Ali Balafar, Narjes Nikzad-Khasmakhi, Mehrdad Ranjbar-Khadivi, Ali-Reza Feizi-Derakhshi, Taymaz Rahkar-Farshi, Elnaz Zafarani-Moattar, Mohammad-Reza Feizi-Derakhshi
Publikováno v:
Information Sciences. 542:212-227
Social media is an inseparable part of our daily life where we post and share photos and media related to our life and in some cases we intend to share them between specific people. This intended and cherry picked sharing of media needs a better solu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6999bb1e1621de545113a56fbde51ee9
https://doi.org/10.1016/j.ins.2020.07.007
https://doi.org/10.1016/j.ins.2020.07.007
Autor:
Ali-Reza Feizi-Derakhshi, Mohammad-Reza Feizi-Derakhshi, Majid Ramezani, Narjes Nikzad-Khasmakhi, Meysam Asgari-Chenaghlu, Taymaz Akan, Mehrdad Ranjbar-Khadivi, Elnaz Zafarni-Moattar, Zoleikha Jahanbakhsh-Naghadeh
Personality detection is an old topic in psychology and Automatic Personality Prediction (or Perception) (APP) is the automated (computationally) forecasting of the personality on different types of human generated/exchanged contents (such as text, s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ea66a956b2fca69126f51edcf8dbd72
http://arxiv.org/abs/2110.01186
http://arxiv.org/abs/2110.01186
Publikováno v:
Signal Processing. 157:1-13
Present paper introduces a polynomial combination of one dimensional chaotic maps that is blended in a dynamic image encryption algorithm. It is special because not only this combination has butterfly folding effect but also it shows generalization p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7dc12540a0cb869f5a9090bea82e2f2f
https://doi.org/10.1016/j.sigpro.2018.11.010
https://doi.org/10.1016/j.sigpro.2018.11.010
Explore transformer-based language models from BERT to GPT, delving into NLP and computer vision tasks, while tackling challenges effectivelyKey FeaturesUnderstand the complexity of deep learning architecture and transformers architectureCreate solut
Autor:
Cina Motamed, Leili Farzinvash, Mohammad Ali Balafar, Meysam Asgari-Chenaghlu, Mohammad-Reza Feizi-Derakhshi
Publikováno v:
Complexity, Vol 2021 (2021)
Social networks are real-time platforms formed by users involving conversations and interactions. This phenomenon of the new information era results in a very huge amount of data in different forms and modalities such as text, images, videos, and voi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3810f04e0168bf098df09b7487b3de15
https://doaj.org/article/3dd1232c7c58408bb37352984b904e43
https://doaj.org/article/3dd1232c7c58408bb37352984b904e43