Results 81 to 90 of about 52,118 (285)

Generative AI for automatic topic labelling

open access: yesCoRR
Topic Modeling has become a prominent tool for the study of scientific fields, as they allow for a large scale interpretation of research trends. Nevertheless, the output of these models is structured as a list of keywords which requires a manual interpretation for the labelling. This paper proposes to assess the reliability of three LLMs, namely flan,
Diego Kozlowski   +2 more
openaire   +2 more sources

Engineered extracellular vesicles enriched with the miR‐214/199a cluster enhance the efficacy of chemotherapy in ovarian cancer

open access: yesMolecular Oncology, EarlyView.
Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...
Weida Wang   +12 more
wiley   +1 more source

Automatic Labelling of Topics in Topic Modelling

open access: yes
Data surrounds us, data-driven decisions are becoming increasingly common, and the applications of the KDD (Knowledge Discovery from Data) process proposed by [7] are becoming crucial in the construction of the new digital society. In the KDD process, the main step is Data Mining, where the data-driven models are really trained and built and many data ...
Angerri, Xavier   +3 more
openaire   +1 more source

Longitudinal circulating tumor DNA profiling in patients with advanced endometrial cancer using an off‐the‐shelf targeted NGS panel

open access: yesMolecular Oncology, EarlyView.
Intratumour heterogeneity complicates precision management of advanced endometrial cancer. Circulating tumor DNA (ctDNA) offers a minimally invasive strategy to capture tumor evolution and therapeutic resistance. Here, we compare tumor‐agnostic NGS with tumor‐informed ddPCR, outlining their relative sensitivity, concordance, and clinical implications ...
Carlos Casas‐Arozamena   +15 more
wiley   +1 more source

Comparison of VADER and TextBlob labeling for sentiment analysis using machine learning and deep learning models: A study on generative AI user experience

open access: yesActa Psychologica
Acquiring awareness, understanding, and emotional engagement with generative artificial intelligence (AI) is crucial for enhancing service delivery and attracting new users.
Socheat In, Sieb Chanchamnan
doaj   +1 more source

Cinematic Costumes Between the Function of Publicity and Semiotics Significance

open access: yesالاكاديمي, 2018
The cinematic costume is a qualitative element that transcends the direct function of it. It is an active personality that can become a brand of publicity and transformative signs that dismantle the intellectual system of acts, characters and events and ...
Maher Majeed Ibrahim
doaj   +1 more source

A framework for topic generation and labeling from MOOC discussions

open access: yes, 2016
This study proposes a standardised open framework to automatically generate and label discussion topics from Massive Open Online Courses (MOOCs). The proposed framework expects to overcome the issues experienced by MOOC participants and teaching staff in
Thushari Atapattu   +3 more
core   +1 more source

Labeling Uncertainty in Multitarget Tracking [PDF]

open access: yes, 2016
In multitarget tracking, the problem of track labeling (assigning labels to tracks) is an ongoing research topic. The existing literature, however, lacks an appropriate measure of uncertainty related to the assigned labels that has a sound mathematical ...
Svensson, Lennart   +8 more
core   +1 more source

Interaction of HS1BP3 with cortactin modulates TKS5 localisation, cell secretion and cancer malignancy

open access: yesMolecular Oncology, EarlyView.
Here, we demonstrate that HS1BP3 interacts with Cortactin through a proline‐rich region (PRR3.1) and show that this interaction, and HS1BP3 itself, promote cancer cell proliferation and invasion. Inhibition of this interaction leads to build‐up of TKS5 in multivesicular endosomes and altered secretion of CD63 and CD9, providing an explanation for the ...
Arja Arnesen Løchen   +9 more
wiley   +1 more source

Automatic Categorization of Mental Health Frame in Indonesian X (Twitter) Text using Classification and Topic Detection Techniques

open access: yesKhazanah Informatika
This paper aims to develop a machine learning model to detect mental health frames in Indonesian-language tweets on the X (Twitter) platform. This research is motivated by the gap in automatically detecting mental health frames, despite the importance of
Setio Basuki   +2 more
doaj   +1 more source

Home - About - Disclaimer - Privacy