research
∙
09/21/2023
Improving VTE Identification through Adaptive NLP Model Selection and Clinical Expert Rule-based Classifier from Radiology Reports
Rapid and accurate identification of Venous thromboembolism (VTE), a sev...
share
research
∙
09/21/2023
Enabling Quartile-based Estimated-Mean Gradient Aggregation As Baseline for Federated Image Classifications
Federated Learning (FL) has revolutionized how we train deep neural netw...
research
∙
09/21/2023
Soft Merging: A Flexible and Robust Soft Model Merging Approach for Enhanced Neural Network Performance
Stochastic Gradient Descent (SGD), a widely used optimization algorithm ...
research
∙
08/16/2023
Porting Batched Iterative Solvers onto Intel GPUs with SYCL
Batched linear solvers play a vital role in computational sciences, espe...
research
∙
11/09/2022
Resource-Aware Heterogeneous Federated Learning using Neural Architecture Search
Federated Learning (FL) is extensively used to train AI/ML models in dis...
research
∙
11/29/2021
SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Clients in Federated Learning
Efficient federated learning is one of the key challenges for training a...
research
∙
10/01/2021
CCS-GAN: COVID-19 CT-scan classification with very few positive training images
We present a novel algorithm that is able to classify COVID-19 pneumonia...
research
∙
09/05/2021
Tolerating Adversarial Attacks and Byzantine Faults in Distributed Machine Learning
Adversarial attacks attempt to disrupt the training, retraining and util...
research
∙
06/13/2021
Adaptive Dynamic Pruning for Non-IID Federated Learning
Federated Learning (FL) has emerged as a new paradigm of training machin...
research
∙
04/02/2021
Toward Generating Synthetic CT Volumes using a 3D-Conditional Generative Adversarial Network
We present a novel conditional Generative Adversarial Network (cGAN) arc...
research
∙
10/19/2020
Lung Nodule Classification Using Biomarkers, Volumetric Radiomics and 3D CNNs
We present a hybrid algorithm to estimate lung nodule malignancy that co...
research
∙
10/02/2020
Deep Expectation-Maximization for Semi-Supervised Lung Cancer Screening
We present a semi-supervised algorithm for lung cancer screening in whic...
research
∙
09/26/2020
Generating Realistic COVID19 X-rays with a Mean Teacher + Transfer Learning GAN
COVID-19 is a novel infectious disease responsible for over 800K deaths ...
research
∙
05/02/2019
SUMMARIZED: Efficient Framework for Analyzing Multidimensional Process Traces under Edit-distance Constraint
Domains such as scientific workflows and business processes exhibit data...
research
∙
06/12/2017
DAC-h3: A Proactive Robot Cognitive Architecture to Acquire and Express Knowledge About the World and the Self
This paper introduces a cognitive architecture for a humanoid robot to e...
research
∙
08/18/2011