Search Results for author: Majid Sarrafzadeh

Found 20 papers, 8 papers with code

Contrastive Mixup: Self- and Semi-Supervised learning for Tabular Domain

no code implementations27 Aug 2021 Sajad Darabi, Shayan Fazeli, Ali Pazoki, Sriram Sankararaman, Majid Sarrafzadeh

Recent literature in self-supervised has demonstrated significant progress in closing the gap between supervised and unsupervised methods in the image and text domains.

A Framework for Neural Topic Modeling of Text Corpora

no code implementations19 Aug 2021 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.

Unsupervised Acute Intracranial Hemorrhage Segmentation with Mixture Models

no code implementations12 May 2021 Kimmo Kärkkäinen, Shayan Fazeli, Majid Sarrafzadeh

We demonstrate the results of our algorithm on publicly-available datasets that contain all different hemorrhage types in various sizes and intensities, and our results are compared to earlier unsupervised and supervised algorithms.

Computed Tomography (CT)

COVID-19 and Big Data: Multi-faceted Analysis for Spatio-temporal Understanding of the Pandemic with Social Media Conversations

no code implementations22 Apr 2021 Shayan Fazeli, Davina Zamanzadeh, Anaelia Ovalle, Thu Nguyen, Gilbert Gee, Majid Sarrafzadeh

We provide a multi-faceted analysis of critical properties exhibited by these conversations on social media regarding the novel coronavirus pandemic.

Real-Time Decentralized knowledge Transfer at the Edge

no code implementations11 Nov 2020 Orpaz Goldstein, Mohammad Kachuee, Dereck Shiell, Majid Sarrafzadeh

Based on our experiments we show knowledge transfer using our model outperforms common methods in a real time transfer scenario.

Knowledge Distillation Transfer Learning

Transfer Learning for Activity Recognition in Mobile Health

1 code implementation12 Jul 2020 Yuchao Ma, Andrew T. Campbell, Diane J. Cook, John Lach, Shwetak N. Patel, Thomas Ploetz, Majid Sarrafzadeh, Donna Spruijt-Metz, Hassan Ghasemzadeh

While activity recognition from inertial sensors holds potential for mobile health, differences in sensing platforms and user movement patterns cause performance degradation.

Activity Recognition Transfer Learning

A Flexible and Intelligent Framework for Remote Health Monitoring Dashboards

1 code implementation9 Jun 2020 Shayan Fazeli, Majid Sarrafzadeh

Developing and maintaining monitoring panels is undoubtedly the main task in the remote patient monitoring (RPM) systems.

Hierarchical Target-Attentive Diagnosis Prediction in Heterogeneous Information Networks

no code implementations22 Dec 2019 Anahita Hosseini, Tyler Davis, Majid Sarrafzadeh

We introduce HTAD, a novel model for diagnosis prediction using Electronic Health Records (EHR) represented as Heterogeneous Information Networks.

Feature Selection

Group-Connected Multilayer Perceptron Networks

no code implementations20 Dec 2019 Mohammad Kachuee, Sajad Darabi, Shayan Fazeli, Majid Sarrafzadeh

GMLP is based on the idea of learning expressive feature combinations (groups) and exploiting them to reduce the network complexity by defining local group-wise operations.

Representation Learning

Cost-Sensitive Feature-Value Acquisition Using Feature Relevance

no code implementations17 Dec 2019 Kimmo Kärkkäinen, Mohammad Kachuee, Orpaz Goldstein, Majid Sarrafzadeh

The chosen features should increase the prediction accuracy for a low cost, but determining which features will do that is challenging.

Learning-To-Rank

Unsupervised Representation for EHR Signals and Codes as Patient Status Vector

no code implementations4 Oct 2019 Sajad Darabi, Mohammad Kachuee, Majid Sarrafzadeh

In this work, we present a two-step unsupervised representation learning scheme to summarize the multi-modal clinical time series consisting of signals and medical codes into a patient status vector.

Time Series Unsupervised Representation Learning

Target-Focused Feature Selection Using a Bayesian Approach

no code implementations15 Sep 2019 Orpaz Goldstein, Mohammad Kachuee, Kimmo Karkkainen, Majid Sarrafzadeh

In many real-world scenarios where data is high dimensional, test time acquisition of features is a non-trivial task due to costs associated with feature acquisition and evaluating feature value.

Feature Selection

TAPER: Time-Aware Patient EHR Representation

2 code implementations11 Aug 2019 Sajad Darabi, Mohammad Kachuee, Shayan Fazeli, Majid Sarrafzadeh

The data contained in these records are irregular and contain multiple modalities such as notes, and medical codes.

Language Modelling Representation Learning

Generative Imputation and Stochastic Prediction

1 code implementation22 May 2019 Mohammad Kachuee, Kimmo Karkkainen, Orpaz Goldstein, Sajad Darabi, Majid Sarrafzadeh

In order to make imputations, we train a simple and effective generator network to generate imputations that a discriminator network is tasked to distinguish.

Classification General Classification +1

Cost-Sensitive Diagnosis and Learning Leveraging Public Health Data

2 code implementations19 Feb 2019 Mohammad Kachuee, Kimmo Karkkainen, Orpaz Goldstein, Davina Zamanzadeh, Majid Sarrafzadeh

Furthermore, based on the suggested dataset, we provide a comparison of recent and state-of-the-art approaches to cost-sensitive feature acquisition and learning.

Unsupervised Prediction of Negative Health Events Ahead of Time

no code implementations31 Jan 2019 Anahita Hosseini, Majid Sarrafzadeh

The emergence of continuous health monitoring and the availability of an enormous amount of time series data has provided a great opportunity for the advancement of personal health tracking.

Anomaly Detection Online Clustering +1

Dynamic Feature Acquisition Using Denoising Autoencoders

1 code implementation3 Nov 2018 Mohammad Kachuee, Sajad Darabi, Babak Moatamed, Majid Sarrafzadeh

In real-world scenarios, different features have different acquisition costs at test-time which necessitates cost-aware methods to optimize the cost and performance trade-off.

Denoising Density Estimation

HeteroMed: Heterogeneous Information Network for Medical Diagnosis

no code implementations22 Apr 2018 Anahita Hosseini, Ting Chen, Wenjun Wu, Yizhou Sun, Majid Sarrafzadeh

To the best of our knowledge, this is the first study to use Heterogeneous Information Network for modeling clinical data and disease diagnosis.

Medical Diagnosis

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