Zobrazeno 1 - 10
of 6 582
pro vyhledávání: '"Rezapour A."'
This study evaluates the concordance between RNA sequencing (RNA-Seq) and NanoString technologies for gene expression analysis in non-human primates (NHPs) infected with Ebola virus (EBOV). We performed a detailed comparison of both platforms, demons
Externí odkaz:
http://arxiv.org/abs/2410.23433
Social interactions promote well-being, yet challenges like geographic distance and mental health conditions can limit in-person engagement. Advances in AI agents are transferring communication, particularly in mental health, where AI chatbots provid
Externí odkaz:
http://arxiv.org/abs/2409.15550
Words Matter: Reducing Stigma in Online Conversations about Substance Use with Large Language Models
Stigma is a barrier to treatment for individuals struggling with substance use disorders (SUD), which leads to significantly lower treatment engagement rates. With only 7% of those affected receiving any form of help, societal stigma not only discour
Externí odkaz:
http://arxiv.org/abs/2408.07873
Online communities such as drug-related subreddits serve as safe spaces for people who use drugs (PWUD), fostering discussions on substance use experiences, harm reduction, and addiction recovery. Users' shared narratives on these forums provide insi
Externí odkaz:
http://arxiv.org/abs/2406.12117
We study the classic \textsc{(Uncapacitated) Facility Location} problem on Unit Disk Graphs (UDGs). For a given point set $P$ in the plane, the unit disk graph UDG(P) on $P$ has vertex set $P$ and an edge between two distinct points $p, q \in P$ if a
Externí odkaz:
http://arxiv.org/abs/2405.08931
Structural balance theory predicts that triads in networks gravitate towards stable configurations. The theory has been verified for undirected graphs. Since real-world networks are often directed, we introduce a novel method for considering both tra
Externí odkaz:
http://arxiv.org/abs/2405.02798
In the rapidly evolving landscape of computing disciplines, substantial efforts are being dedicated to unraveling the sociotechnical implications of generative AI (Gen AI). While existing research has manifested in various forms, there remains a nota
Externí odkaz:
http://arxiv.org/abs/2405.00995
The Industry 4.0 paradigm manifests the shift towards mass customization and cyber-physical production systems (CPPS) and sets new requirements for industrial automation software in terms of modularity, flexibility, and short development cycles of co
Externí odkaz:
http://arxiv.org/abs/2404.14030
Autor:
Rezapour, Mahdi
Sentiment analysis is a natural language processing task that aims to identify and extract the emotional aspects of a text. However, many existing sentiment analysis methods primarily classify the overall polarity of a text, overlooking the specific
Externí odkaz:
http://arxiv.org/abs/2403.14050
Autor:
Rezapour, Mahdi
In this study, we explore the application of transformer-based models for emotion classification on text data. We train and evaluate several pre-trained transformer models, on the Emotion dataset using different variants of transformers. The paper al
Externí odkaz:
http://arxiv.org/abs/2403.15454