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08/17/2023
How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?
Pruning has emerged as a powerful technique for compressing deep neural ...
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07/12/2023
Dynamic Prediction using Time-Dependent Cox Survival Neural Network
The target of dynamic prediction is to provide individualized risk predi...
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06/27/2023
The Impact of Heterogeneous Shared Leadership in Scientific Teams
Leadership is evolving dynamically from an individual endeavor to shared...
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06/18/2023
Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication
Graphs are omnipresent and GNNs are a powerful family of neural networks...
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06/18/2023
Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models
Large pre-trained transformers have been receiving explosive attention i...
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05/30/2023
Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses
A human decision-maker benefits the most from an AI assistant that corre...
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04/18/2023
CancerGPT: Few-shot Drug Pair Synergy Prediction using Large Pre-trained Language Models
Large pre-trained language models (LLMs) have been shown to have signifi...
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02/27/2023
Analyzing Impact of Socio-Economic Factors on COVID-19 Mortality Prediction Using SHAP Value
This paper applies multiple machine learning (ML) algorithms to a datase...
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02/16/2023
Using Explainable AI to Cross-Validate Socio-economic Disparities Among Covid-19 Patient Mortality
This paper applies eXplainable Artificial Intelligence (XAI) methods to ...
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12/06/2022
Attend Who is Weak: Pruning-assisted Medical Image Localization under Sophisticated and Implicit Imbalances
Deep neural networks (DNNs) have rapidly become a de facto choice for me...
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10/15/2022
RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging
AI-powered Medical Imaging has recently achieved enormous attention due ...
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10/14/2022
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again
Despite the enormous success of Graph Convolutional Networks (GCNs) in m...
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07/10/2022
Radiomics-Guided Global-Local Transformer for Weakly Supervised Pathology Localization in Chest X-Rays
Before the recent success of deep learning methods for automated medical...
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05/18/2022
Team formation and team performance: The balance between team freshness and repeat collaboration
Incorporating fresh members in teams is considered a pathway to team cre...
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02/17/2022
The Gene of Scientific Success
This paper elaborates how to identify and evaluate causal factors to imp...
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01/11/2022
Prior Knowledge Enhances Radiology Report Generation
Radiology report generation aims to produce computer-aided diagnoses to ...
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10/28/2021
RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification
Radiology reports are unstructured and contain the imaging findings and ...
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10/27/2021
SCALP – Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata
Computer-aided diagnosis plays a salient role in more accessible and acc...
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08/09/2021
Team Power and Hierarchy: Understanding Team Success
Teamwork is cooperative, participative and power sharing. In science of ...
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06/11/2021
A dataset of mentorship in science with semantic and demographic estimations
Mentorship in science is crucial for topic choice, career decisions, and...
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04/11/2021
Cross-Modal Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop
Building a highly accurate predictive model for these tasks usually requ...
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04/07/2021
Bootstrapping Your Own Positive Sample: Contrastive Learning With Electronic Health Record Data
Electronic Health Record (EHR) data has been of tremendous utility in Ar...
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01/12/2021
Pneumonia Detection on Chest X-ray using Radiomic Features and Contrastive Learning
Chest X-ray becomes one of the most common medical diagnoses due to its ...
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01/11/2021
Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients
Machine Learning (ML) models typically require large-scale, balanced tra...
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12/28/2020
Deep Learning with Heterogeneous Graph Embeddings for Mortality Prediction from Electronic Health Records
Computational prediction of in-hospital mortality in the setting of an i...
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12/25/2020
Understanding Team Collaboration in Artificial Intelligence from the perspective of Geographic Distance
This paper analyzes team collaboration in the field of Artificial Intell...
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12/18/2020
Biomedical Knowledge Graph Refinement and Completion using Graph Representation Learning and Top-K Similarity Measure
Knowledge Graphs have been one of the fundamental methods for integratin...
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11/25/2020
Using Radiomics as Prior Knowledge for Abnormality Classification and Localization in Chest X-rays
Chest X-rays become one of the most common medical diagnoses due to its ...
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09/26/2020
Can pandemics transform scientific novelty? Evidence from COVID-19
Scientific novelty is important during the pandemic due to its critical ...
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09/03/2020
The Pace of Artificial Intelligence Innovations: Speed, Talent, and Trial-and-Error
Innovations in artificial intelligence (AI) are occurring at speeds fast...
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07/04/2020
Coronavirus Knowledge Graph: A Case Study
The emergence of the novel COVID-19 pandemic has had a significant impac...
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05/21/2020
Analysis of misinformation during the COVID-19 outbreak in China: cultural, social and political entanglements
COVID-19 resulted in an infodemic, which could erode public trust, imped...
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05/08/2020
Building a PubMed knowledge graph
PubMed is an essential resource for the medical domain, but useful conce...
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04/03/2020
Attribute2vec: Deep Network Embedding Through Multi-Filtering GCN
We present a multi-filtering Graph Convolution Neural Network (GCN) fram...
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03/23/2020
A Simultaneous Inference Procedure to Identify Subgroups from RCTs with Survival Outcomes: Application to Analysis of AMD Progression Studies
With the uptake of targeted therapies, instead of the "one-fits-all" app...
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11/25/2019
Co-contributorship Network and Division of Labor in Individual Scientific Collaborations
Collaborations are pervasive in current science. Collaborations have bee...
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07/27/2019
Analyzing Linguistic Complexity and Scientific Impact
The number of publications and the number of citations received have bec...
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04/01/2019
Gene-based Association Analysis for Bivariate Time-to-event Data through Functional Regression with Copula Models
Several gene-based association tests for time-to-event traits have been ...
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01/07/2019
Copula-based semiparametric transformation model for bivariate data under general interval censoring
This research is motivated by discovering and underpinning genetic cause...
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11/02/2018
Direct Citations between Citing Publications
This paper defines and explores the direct citations between citing publ...
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09/07/2018
edge2vec: Learning Node Representation Using Edge Semantics
Representation learning for networks provides a new way to mine graphs. ...
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07/22/2018
Examining Scientific Writing Styles from the Perspective of Linguistic Complexity
Publishing articles in high-impact English journals is difficult for sch...
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02/22/2018
Aspect-Aware Latent Factor Model: Rating Prediction with Ratings and Reviews
Although latent factor models (e.g., matrix factorization) achieve good ...
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04/06/2017
DIMM-SC: A Dirichlet mixture model for clustering droplet-based single cell transcriptomic data
Motivation: Single cell transcriptome sequencing (scRNA-Seq) has become ...
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05/20/2013
Meta Path-Based Collective Classification in Heterogeneous Information Networks
Collective classification has been intensively studied due to its impact...
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09/27/2010
