Projected increases in the intensity and frequency of droughts in the twenty-first century are expected to cause a substantial negative impact on terrestrial gross primary productivity (GPP). Yet, the relative role of soil water supply (indicated by ...
BACKGROUND: Parkinson's disease (PD) leads to handwriting abnormalities primarily characterized by micrographia. Whether micrographia manifests early in PD, worsens throughout the disease, and lastly responds to L-Dopa is still under scientific debat...
Privacy protection laws, such as the GDPR, grant individuals the right to
request the forgetting of their personal data not only from databases but also
from machine learning (ML) models trained on them. Machine unlearning has
emerged as a practica...
Human writing often exhibits a range of styles and levels of sophistication. However, automated text generation systems typically lack the nuanced understanding required to produce refined and elegant prose. Due to the inherent one-to-many relationsh...
PURPOSE OF REVIEW: To discuss current and future role of artificial intelligence in predicting severe infections and supporting decisions on antibiotic treatment in critically ill patients in intensive care units (ICU), focusing in particular on some...
Large language model (LLM) personalization aims to align model outputs with
individuals' unique preferences and opinions. While recent efforts have
implemented various personalization methods, a unified theoretical framework
that can systematically...
The recent proliferation of photorealistic AI-generated images (AIGI) has
raised urgent concerns about their potential misuse, particularly on social
media platforms. Current state-of-the-art AIGI detection methods typically rely
on large, deep neu...
Product recommendations inherently involve comparisons, yet traditional
opinion summarization often fails to provide holistic comparative insights. We
propose the novel task of generating Query-Focused Comparative Explainable
Summaries (QF-CES) usi...
Biomedical datasets often contain a large sample imbalance and are subject to
strict privacy constraints, which together hinder the development of accurate
machine learning models. One potential solution is to generate synthetic
images, as this can...
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