|
|
|||||||||||||||||
 |
Fully Test-time Adaptation for Object Detection
Wei Tang, Xiaoqian Ruan June 18, 2024 Though the object detection performance on standard benchmarks has been improved drastically in the last decade, current object detectors are often… Read more |
 |
Imbalance-Aware Discriminative Clustering for Unsupervised Semantic Segmentation
Wei Tang May 14, 2024 Unsupervised semantic segmentation (USS) aims at partitioning an image into semantically meaningful segments by learning from a collection of… Read more |
 |
Deep Umbra: A Generative Approach for Sunlight Access Computation in Urban Spaces
Fabio Miranda, Gustavo Moreira, Kazi Shahrukh Omar February 1, 2024 Sunlight and shadow play critical roles in how urban spaces are utilized, thrive, and grow. While access to sunlight is essential to the success of… Read more |
 |
MouseScholar: Evaluating an Image+Text Search System for Biocuration
Carla Floricel, G. Elisabeta Marai, Juan Trelles Trabucco December 5, 2023 - December 8, 2023 Biocuration is the process of analyzing biological or biomedical articles to organize biological data into data repositories using taxonomies and… Read more |
 |
Roses Have Thorns: Understanding the Downside of Oncological Care Delivery Through Visual Analytics and Sequential Rule Mining
Andrew Wentzel, Carla Floricel, G. Elisabeta Marai October 22, 2023 - October 27, 2023 Personalized head and neck cancer therapeutics have greatly improved survival rates for patients, but are often leading to understudied long-lasting… Read more |
.png "Enhancing biomedical search interfaces with images") |
Enhancing biomedical search interfaces with images
G. Elisabeta Marai, Juan Trelles Trabucco July 17, 2023 Motivation: Figures in biomedical papers communicate essential information with the potential to identify relevant documents in biomedical and… Read more |
 |
DASS Good: Explainable Data Mining of Oncology Imaging and Toxicity Data
Andrew Wentzel, Carla Floricel, G. Elisabeta Marai June 1, 2023 Developing applicable clinical machine learning models is a difficult task when the data includes spatial information, for example, radiation dose… Read more |
 |
Mapping the walk: A scalable computer vision approach for generating sidewalk network datasets from aerial imagery
Fabio Miranda February 22, 2023 While cities around the world are increasingly promoting streets and public spaces that prioritize pedestrians over vehicles, significant data gaps… Read more |
 |
DRAS: Deep Reinforcement Learning for Cluster Scheduling in High Performance Computing
Michael E. Papka December 1, 2022 Cluster schedulers are crucial in high-performance computing (HPC). They determine when and which user jobs should be allocated to available system… Read more |
 |
Head and Neck Cancer Predictive Risk Estimator to Determine Control and Therapeutic Outcomes of Radiotherapy (HNCPREDICTOR)
G. Elisabeta Marai, Md Nafiul Alam Nipu October 21, 2022 Background. Personalized radiotherapy can improve treatment outcomes of head and neck cancer (HNC) patients, where currently a… Read more |
 |
Linking scientific instruments and computation: Patterns, technologies, and experiences
Michael E. Papka October 14, 2022 Powerful detectors at modern experimental facilities routinely collect data at multiple GB/s. Online analysis methods are needed to enable the… Read more |
 |
Moving from Composable to Programmable
Andrew Johnson, Lance Long, Luc Renambot, Maxine Brown, Zhongyi Chen June 3, 2022 In today’s Big Data era, data scientists require modern workflows to quickly analyze large-scale datasets using complex codes to maintain the… Read more |
 |
Composable Infrastructures for an Academic Research Environment: Lessons Learned
Andrew Johnson, Lance Long, Luc Renambot, Maxine Brown, Zhongyi Chen June 3, 2022 Composable infrastructure holds the promise of accelerating the pace of academic research and discovery by enabling researchers to tailor the… Read more |
 |
Monitoring COMPaaS
April 29, 2022 The Electronic Visualization Laboratory at the University of Illinois Chicago acquired a 24 compute node, 64 GPU composable infrastructure compute… Read more |
 |
Moving from Composable to Programmable
Andrew Johnson, Lance Long, Luc Renambot, Maxine Brown, Zhongyi Chen April 15, 2022 In today’s Big Data era, data scientists require modern workflows to quickly analyze large-scale datasets using complex codes to maintain the… Read more |
 |
Composable Infrastructures for an Academic Research Environment: Lessons Learned
Andrew Johnson, Lance Long, Luc Renambot, Maxine Brown, Timothy Bargo April 15, 2022 Composable infrastructure holds the promise of accelerating the pace of academic research and discovery by enabling researchers to tailor the… Read more |
 |
Exploiting appearance transfer and multi-scale context for efficient person image generation
Wei Tang April 1, 2022 Pose guided person image generation means to generate a photo-realistic person image conditioned on an input person image and a desired pose. This… Read more |
 |
ANIMO: Annotation of Biomed Image Modalities
G. Elisabeta Marai, Juan Trelles Trabucco December 9, 2021 - December 12, 2021 Figures within biomedical articles present essential evidence of the relevance of a publication in a curation workflow. In particular, visual cues of… Read more |
 |
Deep learning for mapping element distribution of high-entropy alloys in scanning transmission electron microscopy images
Lance Long September 18, 2021 The latest developments of machine learning (ML) and deep learning (DL) algorithms have paved the way to effectively analyze the atomic structure of… Read more |
 |
Feature Selection for Support Vector Regression Using a Genetic Algorithm
G. Elisabeta Marai September 8, 2021 Support vector regression (SVR) is particularly beneficial when the outcome and predictors are nonlinearly related. However, when many covariates are… Read more |
 |
Exploit Visual Dependency Relations for Semantic Segmentation
Wei Tang June 19, 2021 - June 25, 2021 Dependency relations among visual entities are ubiquitous because both objects and scenes are highly structured. They provide prior knowledge about… Read more |
 |
Recursive meta-Reinforcement Learning for Personalized Sequential Dynamic Treatment Policies
Elisa Tardini May 1, 2021 In recent years deep meta-reinforcement learning has extended the applicability of reinforcement learning (RL) algorithms: by integrating recurrent… Read more |
 |
Learning Global Pose Features in Graph Convolutional Networks for 3D Human Pose Estimation
Wei Tang November 30, 2020 - December 4, 2020 As the human body skeleton can be represented as a sparse graph, it is natural to exploit graph convolutional networks (GCNs) to model the… Read more |
 |
Explainable Spatial Clustering: Leveraging Spatial Data in Radiation Oncology
Andrew Wentzel, G. Elisabeta Marai October 25, 2020 - October 30, 2020 Advances in data collection in radiation therapy have led to an abundance of opportunities for applying data mining and machine learning techniques… Read more |
 |
High-order Graph Convolutional Networks for 3D Human Pose Estimation
Wei Tang September 7, 2020 - September 10, 2020 Graph convolutional networks (GCNs) have been applied to 3D human pose estimation (HPE) from 2D body joint detections and have demonstrated promising… Read more |
 |
A Comprehensive Study of Weight Sharing in Graph Networks for 3D Human Pose Estimation
Wei Tang August 23, 2020 - August 28, 2020 Graph convolutional networks (GCNs) have been applied to 3D human pose estimation (HPE) from 2D body joint detections and have shown encouraging… Read more |
 |
Intelligent Assistant for Exploring Data Visualizations
Abhinav Kumar, Andrew Johnson, Jillian Aurisano May 17, 2020 - May 20, 2020 Visualization, while an effective tool for identifying patterns and insights, requires expert knowledge due to challenges faced when translating user… Read more |
 |
Augmenting Small Data to Classify Contextualized Dialogue Acts for Exploratory Visualization
Abhinav Kumar, Andrew Johnson, Jillian Aurisano May 11, 2020 - May 16, 2020 Our goal is to develop an intelligent assistant to support users explore data via visualizations. We have collected a new corpus of conversations… Read more |
 |
Clustering of Largely Right-Censored Oropharyngeal Head and Neck Cancer Patients for Discriminative Groupings to Improve Outcome Prediction
G. Elisabeta Marai March 2, 2020 Clustering is the task of identifying groups of similar subjects according to certain criteria. The AJCC staging system can be thought as a… Read more |
 |
COMPaaS DLV: Composable Infrastructure for Deep Learning in an Academic Research Environment
Andrew Johnson, Lance Long, Luc Renambot, Maxine Brown, Timothy Bargo October 7, 2019 In today’s Big Data era, data scientists require new computational instruments in order to quickly analyze large-scale datasets using complex… Read more |
 |
Machine Learning Applications in Head and Neck Radiation Oncology: Lessons from Open-Source Radiomics Challenges
G. Elisabeta Marai July 1, 2018 Authors: Hesham Elhalawani, Timothy A Lin, Stefania Volpe, Abdallah S.R. Mohamed, Aubrey L. White, James Zafereo, Andrew Wong, Joel E. Berends, Shady… Read more |
