Search Results

open access

Accuracy-Constrained Efficiency Optimization and GPU Profiling of CNN Inference for Detecting Drainage Crossing Locations

Description: Article describes how the accurate and efficient determination of hydrologic connectivity has garnered significant attention from both academic and industrial sectors due to its critical implications for environment management. To address these challenges, the focus of the author's study is on detecting drainage crossings through the application of advanced convolutional neural networks.
Date: November 12, 2023
Creator: Zhang, Yicheng; Pandey, Dhroov; Wu, Di; Kundu, Turja; Li, Ruopu & Shu, Tong
open access

Action unit classification for facial expression recognition using active learning and SVM

Description: Article utilizing active learning and support vector machine (SVM) algorithms to classify facial action units (AU) for human facial expression recognition. Experimental results show that the proposed algorithm can effectively suppress correlated noise and achieve higher recognition rates than principal component analysis and a human observer on seven different facial expressions.
Date: April 4, 2021
Creator: Yao, Li; Wan, Yan & Xu, Bugao
open access

agroString: Visibility and Provenance through a Private Blockchain Platform for Agricultural Dispense towards Consumers

Description: Article discusses the large quantities of farm and meat products that rot and are wasted if correct actions are not taken leading to serious health concerns if consumed. Because there is no proper system for tracking and communicating the status of goods to consumers, a right which according to the authors should be a given, they propose a method of increased communication using Corda private blockchain.
Date: October 27, 2022
Creator: Vangipuram, Sukrutha L. T.; Mohanty, Saraju P.; Kougianos, Elias & Ray, Chittaranjan
open access

An Analysis of Natural Language Inference Benchmarks through the Lens of Negation

Description: Article presents a new benchmark for natural language inference in which negation plays a critical role and shows that state-of-the-art transformers struggle making inference judgments with the new pairs.
Date: November 2020
Creator: Hossain, Md Mosharaf; Dutta, Pranoy; Kao, Tiffany; Wei, Elizabeth; Blanco, Eduardo & Kovatchev, Venelin
open access

Annotating If Authors of Tweets are Located in the Locations They Tweet About

Description: Article presented at the Eleventh International Conference on Language Resources and Evaluation (LREC 2018). The study investigates spatial information of tweets whereby the authors present a corpus of tweets annotated with temporally-anchored spatial information involving the author.
Date: May 2018
Creator: Doudagiri, Vivek; Vempala, Alakananda & Blanco, Eduardo
open access

Architecture Support for 3D Obfuscation

Description: Article discussing research on architecture support for 3D obfuscation.
Date: April 3, 2006
Creator: Gomathisankaran, Mahadevan & Tyagi, Akhilesh
open access

Artificial Intelligence for Colonoscopy: Past, Present, and Future

Description: Article summarizing the past and present development of colonoscopy video analysis methods, focusing on two categories of artificial intelligence (AI) technologies used in clinical trials, (1) analysis and feedback for improving colonoscopy quality and (2) detection of abnormalities.
Date: August 2021
Creator: Tavanapong, Wallapak; Oh, JungHwan; Riegler, Michael; Khaleel, Mohammed I.; Mitta, Bhuvan & de Groen, Piet C.
open access

Autoencoder Composite Scoring to Evaluate Prosthetic Performance in Individuals with Lower Limb Amputation

Description: Authors of the article created an overall assessment metric using a deep learning autoencoder to directly compare clinical outcomes in a comparison of lower limb amputees using two different prosthetic devices—a mechanical knee and a microprocessor-controlled knee. The proposed methods were used on data collected from ten participants with a dysvascular transfemoral amputation recruited for a prosthetics research study.
Date: October 18, 2022
Creator: Tabashum, Thasina; Xiao, Ting; Jayaraman, Chandrasekaran; Mummidisetty, Chaithanya K.; Jayaraman, Arun & Albert, Mark
open access

Automatic Identification of Research Articles from Crawled Documents

Description: Paper from the Web-Scale Classification: Classifying Big Data from the Web Workshop. This paper proposes novel features that result in effective and efficient classification models for automatic identification of research articles.
Date: February 28, 2014
Creator: Caragea, Cornelia; Wu, Jian; Williams, Kyle; Das Gollapalli, Sujatha; Khabsa, Madian; Teregowda, Pradeep et al.
open access

BAM: A Block-Based Bayesian Method for Detecting Genome-Wide Associations with Multiple Diseases

Description: Article proposes a novel Bayesian method, named BAM, for simultaneously partitioning Single Nucleotide Polymorphisms (SNPs) into Linkage Disequilibrium(LD)-blocks and detecting genome-wide multi-locus epistatic interactions that are associated with multiple diseases. Experimental results on the simulated datasets demonstrate that BAM is powerful and efficient.
Date: April 16, 2020
Creator: Guo, Xuan; Wu, Guanying & Xu, Baohua
open access

Bayesian analysis of complex mutations in HBV, HCV, and HIV studies

Description: This article provides a review of the Bayesian-inference-based methods applied to Hepatitis B Virus (HBV), Hepatitis C Virus (HCV), and Human Immunodeficiency Virus (HIV) studies with a focus on the detection of the viral mutations and various problems which are correlated to these mutations. The authors also provide a summary of the Bayesian methods' applications toward these viruses' studies, where several important and useful results have been discovered.
Date: April 4, 2019
Creator: Guo, Xuan; Liu, Bing; Feng, Shishi & Zhang, Jing
open access

Classifying Abdominal Fat Distribution Patterns by Using Body Measurement Data

Description: This article aims to explore new categorization that characterizes the distribution clusters of visceral and subcutaneous adipose tissues (VAT and SAT) measured by magnetic resonance imaging (MRI), to analyze the relationship between the VAT-SAT distribution patterns and the novel body shape descriptors (BSDs), and to develop a classifier to predict the fat distribution clusters using the BSDs.
Date: February 19, 2021
Creator: Sun, Jingjing; Xu, Bugao; Lee, Jane & Freeland-Graves, Jeanne H.
open access

Computing microRNA-gene interaction networks in pan-cancer using miRDriver

Description: This article is a study where the authors integrated the multi-omics datasets such as copy number aberration, DNA methylation, gene and microRNA expression to identify the signature microRNA-gene associations from frequently aberrated DNA regions across pan-cancer utilizing a LASSO-based regression approach.
Date: March 8, 2022
Creator: Bose, Banabithi; Moravec, Matthew & Bozdag, Serdar
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