Results 131 to 140 of about 619,505 (306)

Traffic Detection and Forecasting from Social Media Data Using a Deep Learning-Based Model, Linguistic Knowledge, Large Language Models, and Knowledge Graphs [PDF]

Traffic data analysis and forecasting is a multidimensional challenge that extracts details from sources such as social media and vehicle sensor data. This study proposes a three-stage framework using Deep Learning (DL) and natural language processing ...
Abdi, A., Melhem, W., Meziane, F.
core   +1 more source

Artificial Intelligence and Mental Well‐Being in Adult Education: Implications for Practice and Professional Responsibility

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Mental well‐being is central to adult learner success, yet many adult education institutions lack capacity to provide timely and accessible support. This article examines how artificial intelligence (AI) can strengthen mental health–adjacent supports in adult and continuing higher education, with attention to professional practice and ...
Adam L. McClain, Thomas Wade
wiley   +1 more source

A large language model is structured like the unconscious: the (ordinary) perverse psychosis of AI

This is an author's accepted manuscript of an article publshed in The European Journal of Psychoanalysis on 11 November 2025. The published version of the article can be accessed here: https://www.journal-psychoanalysis.eu/articles/a-large-language-model-
Geal, Robert
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Large Language Models as Knowledge Graph Accuracy Estimators: An Exploratory Analysis [PDF]

openI Knowledge Graph stanno acquisendo popolarità in numerose applicazioni reali, dove l'accuratezza è cruciale. Lo standard attuale per la valutazione dell'accuratezza è l'annotazione manuale basata su esseri umani, che risulta costosa a causa delle
SEGALA, ANDREA
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Super‐Refractory Status Epilepticus (SRSE) in a Patient With Compound Heterozygous OPA1 Variants: Case Report and Literature Review

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Super‐Refractory Status Epilepticus (SRSE) is a rare, life‐threatening neurological emergency with unclear etiology in many cases. Mitochondrial dysfunction, often due to disease‐causing genetic variants, is increasingly recognized as a cause, with each gene producing distinct pathophysiological mechanisms.
Pouria Mohammadi, Lara Basovic, Christopher Michael McGraw   +2 more
wiley   +1 more source

Large Language Models, human language and acquisition: a comparison.

openLa tesi ha l’obiettivo di illustrare un generale confronto fra l’apprendimento linguistico dei Large Language Models e l’apprendimento umano. Il primo capitolo si sofferma sui fondamenti teorici principali riguardanti i grandi modelli di linguaggio ...
FORCATO, ALESSIA
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Orange Virtual Assistant: Investigating Large Language Models’ Ability to Understand and Construct Data Mining Workflows [PDF]

openThis thesis looks into how important workflow processes can be automated by Large Language Models (LLMs) like GPT-4 to improve user engagement with Orange, a data mining application.
TIVERON, ALESSANDRO
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Evaluating Large Language Models’ Ability Using a Psychiatric Screening Tool Based on Metaphor and Sarcasm Scenarios

Journal of Intelligence
Metaphors and sarcasm are precious fruits of our highly evolved social communication skills. However, children with the condition then known as Asperger syndrome are known to have difficulties in comprehending sarcasm, even if they possess adequate ...
Hiromu Yakura
doaj   +1 more source

Remote Assessment of Ataxia Severity in SCA3 Across Multiple Centers and Time Points

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Spinocerebellar ataxia type 3 (SCA3) is a genetically defined ataxia. The Scale for Assessment and Rating of Ataxia (SARA) is a clinician‐reported outcome that measures ataxia severity at a single time point. In its standard application, SARA fails to capture short‐term fluctuations, limiting its sensitivity in trials.
Marcus Grobe‐Einsler, Vivian Maas, Arian Taheri Amin, Jennifer Faber, Tamara Schaprian, Katharina Hill, Matthis Synofzik, Lisa H. Graf, Heike Jacobi, Manuela Lima, Ana F. Ferreira, Bart P. van de Warrenburg, Ilse H. J. Willemse, Dagmar Timmann, Andreas Thieme, Paola Giunti, Hector Garcia‐Moreno, Magda M. Santana, Jeannette Hübener‐Schmid, Elin H. Davies, Thomas Klockgether   +20 more
wiley   +1 more source

Applications of Large Language Models in Document Analysis and Automation

reservedThis thesis explores the application of Large Language Models (LLMs), such as GPT and Gem- ini, to automate the transcription of medical reports.
MAZZA, DAVIDE
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