Zobrazeno 1 - 10
of 93 346
pro vyhledávání: '"Flora, ."'
In this work, we bridge the gap between wearable sensor technology and personalized AI assistants by enabling Large Language Models (LLMs) to understand time-series tasks like human activity recognition (HAR). Despite the strong reasoning and general
Externí odkaz:
http://arxiv.org/abs/2410.10624
Autor:
Jérolon, Allan, Alarcon, Flora, Pittion, Florence, Richard, Magali, François, Olivier, Birmelé, Etienne E., Perduca, Vittorio
Mediation analysis aims to identify and estimate the effect of an exposure on an outcome that is mediated through one or more intermediate variables. In the presence of multiple intermediate variables, two pertinent methodological questions arise: es
Externí odkaz:
http://arxiv.org/abs/2409.20036
Privacy is dynamic, sensitive, and contextual, much like our emotions. Previous studies have explored the interplay between privacy and context, privacy and emotion, and emotion and context. However, there remains a significant gap in understanding t
Externí odkaz:
http://arxiv.org/abs/2409.11805
As Chile's electric power sector advances toward a future powered by renewable energy, accurate forecasting of renewable generation is essential for managing grid operations. The integration of renewable energy sources is particularly challenging due
Externí odkaz:
http://arxiv.org/abs/2409.09263
Large Language Models (LLMs) research in the financial domain is particularly complex due to the sheer number of approaches proposed in literature. Retrieval-Augmented Generation (RAG) has emerged as one of the leading methods in the sector due to it
Externí odkaz:
http://arxiv.org/abs/2409.07487
Publikováno v:
15th European Conference on Synthetic Aperture Radar, April 23 26, 2024, Munich, Germany
Remote sensing visual question answering (RSVQA) has been involved in several research in recent years, leading to an increase in new methods. RSVQA automatically extracts information from satellite images, so far only optical, and a question to auto
Externí odkaz:
http://arxiv.org/abs/2408.15642
Autor:
Hu, Yongquan, Zhang, Shuning, Dang, Ting, Jia, Hong, Salim, Flora D., Hu, Wen, Quigley, Aaron J.
Integrating physiological signals such as electroencephalogram (EEG), with other data such as interview audio, may offer valuable multimodal insights into psychological states or neurological disorders. Recent advancements with Large Language Models
Externí odkaz:
http://arxiv.org/abs/2408.07313
Autor:
Böwing, Flora, Gildersleve, Patrick
The disparity between news stories valued by journalists and those preferred by readers, known as the "News Gap", is well-documented. However, the difference in expectations regarding news related user-generated content is less studied. Comment secti
Externí odkaz:
http://arxiv.org/abs/2408.07052
Occupation information can be utilized by digital assistants to provide occupation-specific personalized task support, including interruption management, task planning, and recommendations. Prior research in the digital workplace assistant domain req
Externí odkaz:
http://arxiv.org/abs/2407.18518
Interpreting artificial neural networks to detect genome-wide association signals for complex traits
Investigating the genetic architecture of complex diseases is challenging due to the highly polygenic and interactive landscape of genetic and environmental factors. Although genome-wide association studies (GWAS) have identified thousands of variant
Externí odkaz:
http://arxiv.org/abs/2407.18811