11 citations · 28 across the 7 of their papers we have counts for
12 papers
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…
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…
Synthesising Multi-Modal Minority Samples for Tabular Data
Sajad Darabi, Yotam Elor
Real-world binary classification tasks are in many cases imbalanced, where the minority class is much smaller than the majority class. This skewness is challenging for machine lear…
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…
Unsupervised Representation for EHR Signals and Codes as Patient Status Vector
Sajad Darabi, Mohammad Kachuee, Majid Sarrafzadeh
Effective modeling of electronic health records presents many challenges as they contain large amounts of irregularity most of which are due to the varying procedures and diagnosis…
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…