449 citations · 520 across the 22 of their papers we have counts for
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Contrastive Mixup: Self- and Semi-Supervised learning for Tabular Domain
Sajad Darabi, Shayan Fazeli, Ali Pazoki +2
Recent literature in self-supervised has demonstrated significant progress in closing the gap between supervised and unsupervised methods in the image and text domains. These metho…
A Framework for Neural Topic Modeling of Text Corpora
Shayan Fazeli, Majid Sarrafzadeh
Topic Modeling refers to the problem of discovering the main topics that have occurred in corpora of textual data, with solutions finding crucial applications in numerous fields. I…
Unsupervised Acute Intracranial Hemorrhage Segmentation with Mixture Models
Kimmo Kärkkäinen, Shayan Fazeli, Majid Sarrafzadeh
Intracranial hemorrhage occurs when blood vessels rupture or leak within the brain tissue or elsewhere inside the skull. It can be caused by physical trauma or by various medical c…
COVID-19 and Big Data: Multi-faceted Analysis for Spatio-temporal Understanding of the Pandemic with Social Media Conversations
Shayan Fazeli, Davina Zamanzadeh, Anaelia Ovalle +3
COVID-19 has been devastating the world since the end of 2019 and has continued to play a significant role in major national and worldwide events, and consequently, the news. In it…