Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Ahmadreza Mosallanezhad"'
Autor:
Daniel Khashabi, Arman Cohan, Siamak Shakeri, Pedram Hosseini, Pouya Pezeshkpour, Malihe Alikhani, Moin Aminnaseri, Marzieh Bitaab, Faeze Brahman, Sarik Ghazarian, Mozhdeh Gheini, Arman Kabiri, Rabeeh Karimi Mahabagdi, Omid Memarrast, Ahmadreza Mosallanezhad, Erfan Noury, Shahab Raji, Mohammad Sadegh Rasooli, Sepideh Sadeghi, Erfan Sadeqi Azer, Niloofar Safi Samghabadi, Mahsa Shafaei, Saber Sheybani, Ali Tazarv, Yadollah Yaghoobzadeh
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 9, Pp 1147-1162 (2021)
AbstractDespite the progress made in recent years in addressing natural language understanding (NLU) challenges, the majority of this progress remains to be concentrated on resource-rich languages like English. This work focuses on Persian language,
Externí odkaz:
https://doaj.org/article/628c3c423b8e4fc681edcc882bbb9c33
Autor:
Zeyad Alghamdi, Tharindu Kumarage, Mansooreh Karami, Faisal Alatawi, Ahmadreza Mosallanezhad, Huan Liu
Publikováno v:
European Conference on Social Media. 10:42-51
It is crucial to detect and manage stress as early as possible before it becomes a severe mental and physical health problem. Some authors even introduce stress as a “silent killer” to emphasize the significance of early stress management. Trauma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd88f5f6c34d853ddfae00e53ba0eae8
https://doi.org/10.34190/ecsm.10.1.1028
https://doi.org/10.34190/ecsm.10.1.1028
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783031263897
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02dfa0c6cb8e5b44a803602632e5aa4a
https://doi.org/10.1007/978-3-031-26390-3_34
https://doi.org/10.1007/978-3-031-26390-3_34
Autor:
Erin K. Chiou, Pouria Salehi, Erik Blasch, James Sung, Myke C. Cohen, Anna Pan, Michelle Mancenido, Ahmadreza Mosallanezhad, Yang Ba, Shawaiz Bhatti
Publikováno v:
2022 IEEE 3rd International Conference on Human-Machine Systems (ICHMS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5dd589353e14f70f55719a450a07fca
https://doi.org/10.1109/ichms56717.2022.9980623
https://doi.org/10.1109/ichms56717.2022.9980623
Autor:
Erin K. Chiou, Michelle V. Mancenido, Aksheshkumar Shah, Myke C. Cohen, Ahmadreza Mosallanezhad, Pouria Salehi
Publikováno v:
Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 65:638-642
This study investigates how human performance and trust are affected by the decision deferral rates of an AI-enabled decision support system in a high criticality domain such as security screening, where ethical and legal considerations prevent full
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ffe040a6506b96bd5836ea5a9431cd3c
https://doi.org/10.1177/1071181321651157
https://doi.org/10.1177/1071181321651157
Publikováno v:
2022 4th International Conference on Data Intelligence and Security (ICDIS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4045fbb221c4d84b2453619d5b879c5
https://doi.org/10.1109/icdis55630.2022.00032
https://doi.org/10.1109/icdis55630.2022.00032
Publikováno v:
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::494fcf1a80650b308615f4a92240fa51
https://doi.org/10.1145/3477495.3531945
https://doi.org/10.1145/3477495.3531945
Autor:
Saber Sheybani, Sarik Ghazarian, Shahab Raji, Erfan Noury, Arman Kabiri, Yadollah Yaghoobzadeh, Niloofar Safi Samghabadi, Moin Aminnaseri, Erfan Sadeqi Azer, Faeze Brahman, Siamak Shakeri, Daniel Khashabi, Ali Tazarv, Mozhdeh Gheini, Omid Memarrast, Mohammad Sadegh Rasooli, Mahsa Shafaei, Malihe Alikhani, Marzieh Bitaab, Pouya Pezeshkpour, Arman Cohan, Sepideh Sadeghi, Rabeeh Karimi Mahabagdi, Pedram Hosseini, Ahmadreza Mosallanezhad
Publikováno v:
Transactions of the Association for Computational Linguistics. 9:1147-1162
Despite the progress made in recent years in addressing natural language understanding (NLU) challenges, the majority of this progress remains to be concentrated on resource-rich languages like English. This work focuses on Persian language, one of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9b56afd3f51a87f151b56eb4f92e810
https://doi.org/10.1162/tacl_a_00419
https://doi.org/10.1162/tacl_a_00419
With social media being a major force in information consumption, accelerated propagation of fake news has presented new challenges for platforms to distinguish between legitimate and fake news. Effective fake news detection is a non-trivial task due
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00297a66846c2fbca4fe1e9ce1afce5c
Publikováno v:
Frontiers in Fake Media Generation and Detection ISBN: 9789811915239
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ec36b8d612f3b2a68a12f765b3cc4e1
https://doi.org/10.1007/978-981-19-1524-6_9
https://doi.org/10.1007/978-981-19-1524-6_9