Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Mosallanezhad, Ahmadreza"'
With the onset of the COVID-19 pandemic, news outlets and social media have become central tools for disseminating and consuming information. Because of their ease of access, users seek COVID-19-related information from online social media (i.e., onl
Externí odkaz:
http://arxiv.org/abs/2208.03907
Online Social Networks (OSNs) facilitate access to a variety of data allowing researchers to analyze users' behavior and develop user behavioral analysis models. These models rely heavily on the observed data which is usually biased due to the partic
Externí odkaz:
http://arxiv.org/abs/2208.03796
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:
http://arxiv.org/abs/2202.08159
There have been increasing concerns about Artificial Intelligence (AI) due to its unfathomable potential power. To make AI address ethical challenges and shun undesirable outcomes, researchers proposed to develop socially responsible AI (SRAI). One o
Externí odkaz:
http://arxiv.org/abs/2104.12278
Autor:
Khashabi, Daniel, Cohan, Arman, Shakeri, Siamak, Hosseini, Pedram, Pezeshkpour, Pouya, Alikhani, Malihe, Aminnaseri, Moin, Bitaab, Marzieh, Brahman, Faeze, Ghazarian, Sarik, Gheini, Mozhdeh, Kabiri, Arman, Mahabadi, Rabeeh Karimi, Memarrast, Omid, Mosallanezhad, Ahmadreza, Noury, Erfan, Raji, Shahab, Rasooli, Mohammad Sadegh, Sadeghi, Sepideh, Azer, Erfan Sadeqi, Samghabadi, Niloofar Safi, Shafaei, Mahsa, Sheybani, Saber, Tazarv, Ali, Yaghoobzadeh, Yadollah
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:
http://arxiv.org/abs/2012.06154
Neural network-based embeddings have been the mainstream approach for creating a vector representation of the text to capture lexical and semantic similarities and dissimilarities. In general, existing encoding methods dismiss the punctuation as insi
Externí odkaz:
http://arxiv.org/abs/2101.03029
Nowadays, there exist powerful language models such as OpenAI's GPT-2 that can generate readable text and can be fine-tuned to generate text for a specific domain. Considering GPT-2, it cannot directly generate synthetic news with respect to a given
Externí odkaz:
http://arxiv.org/abs/2010.16324
Face images are rich data items that are useful and can easily be collected in many applications, such as in 1-to-1 face verification tasks in the domain of security and surveillance systems. Multiple methods have been proposed to protect an individu
Externí odkaz:
http://arxiv.org/abs/2009.14376
Autor:
Beigi, Ghazaleh, Mosallanezhad, Ahmadreza, Guo, Ruocheng, Alvari, Hamidreza, Nou, Alexander, Liu, Huan
Recommendation is one of the critical applications that helps users find information relevant to their interests. However, a malicious attacker can infer users' private information via recommendations. Prior work obfuscates user-item data before shar
Externí odkaz:
http://arxiv.org/abs/1911.09872
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