449 citations · 454 across the 10 of their papers we have counts for
13 papers
A Self-supervised Framework for Improved Data-Driven Monitoring of Stress via Multi-modal Passive Sensing
Shayan Fazeli, Lionel Levine, Mehrab Beikzadeh +4
Recent advances in remote health monitoring systems have significantly benefited patients and played a crucial role in improving their quality of life. However, while physiological…
Heterogenous Ensemble of Models for Molecular Property Prediction
Sajad Darabi, Shayan Fazeli, Jiwei Liu +4
Previous works have demonstrated the importance of considering different modalities on molecules, each of which provide a varied granularity of information for downstream property…
Beyond Labels: Visual Representations for Bone Marrow Cell Morphology Recognition
Shayan Fazeli, Alireza Samiei, Thomas D. Lee +1
Analyzing and inspecting bone marrow cell cytomorphology is a critical but highly complex and time-consuming component of hematopathology diagnosis. Recent advancements in artifici…
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…
Anxiety Detection Leveraging Mobile Passive Sensing
Lionel Levine, Migyeong Gwak, Kimmo Karkkainen +5
Anxiety disorders are the most common class of psychiatric problems affecting both children and adults. However, tools to effectively monitor and manage anxiety are lacking, and co…
Statistical Analytics and Regional Representation Learning for COVID-19 Pandemic Understanding
Shayan Fazeli, Babak Moatamed, Majid Sarrafzadeh
The rapid spread of the novel coronavirus (COVID-19) has severely impacted almost all countries around the world. It not only has caused a tremendous burden on health-care provider…
A Flexible and Intelligent Framework for Remote Health Monitoring Dashboards
Shayan Fazeli, Majid Sarrafzadeh
Developing and maintaining monitoring panels is undoubtedly the main task in the remote patient monitoring (RPM) systems. Due to the significant variations in desired functionaliti…
Group-Connected Multilayer Perceptron Networks
Mohammad Kachuee, Sajad Darabi, Shayan Fazeli +1
Despite the success of deep learning in domains such as image, voice, and graphs, there has been little progress in deep representation learning for domains without a known structu…
TAPER: Time-Aware Patient EHR Representation
Sajad Darabi, Mohammad Kachuee, Shayan Fazeli +1
Effective representation learning of electronic health records is a challenging task and is becoming more important as the availability of such data is becoming pervasive. The data…
ECG Heartbeat Classification: A Deep Transferable Representation
Mohammad Kachuee, Shayan Fazeli, Majid Sarrafzadeh
Electrocardiogram (ECG) can be reliably used as a measure to monitor the functionality of the cardiovascular system. Recently, there has been a great attention towards accurate cat…