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pro vyhledávání: '"Dumontier, P."'
Akademický článek
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Audio-language models (ALMs) process sounds to provide a linguistic description of sound-producing events and scenes. Recent advances in computing power and dataset creation have led to significant progress in this domain. This paper surveys existing
Externí odkaz:
http://arxiv.org/abs/2407.06947
Autor:
Ibrahim, Mahmoud, Khalil, Yasmina Al, Amirrajab, Sina, Sun, Chang, Breeuwer, Marcel, Pluim, Josien, Elen, Bart, Ertaylan, Gokhan, Dumontier, Michel
This paper presents a comprehensive systematic review of generative models (GANs, VAEs, DMs, and LLMs) used to synthesize various medical data types, including imaging (dermoscopic, mammographic, ultrasound, CT, MRI, and X-ray), text, time-series, an
Externí odkaz:
http://arxiv.org/abs/2407.00116
Rule mining on knowledge graphs allows for explainable link prediction. Contrarily, embedding-based methods for link prediction are well known for their generalization capabilities, but their predictions are not interpretable. Several approaches comb
Externí odkaz:
http://arxiv.org/abs/2406.10144
Akademický článek
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Automated Audio Captioning is a multimodal task that aims to convert audio content into natural language. The assessment of audio captioning systems is typically based on quantitative metrics applied to text data. Previous studies have employed metri
Externí odkaz:
http://arxiv.org/abs/2403.18572
Akademický článek
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In many countries financial service providers have to elicit their customers risk preferences, when offering products and services. For instance, in the Netherlands pension funds will be legally obliged to factor in their clients risk preferences whe
Externí odkaz:
http://arxiv.org/abs/2311.04164
Autor:
Visara Urovi, Remzi Celebi, Chang Sun, Parveen Kumar, Linda Rieswijk, Michael Erard, Arif Yilmaz, Kody Moodley, Michel Dumontier
Publikováno v:
Journal of Responsible Innovation, Vol 11, Iss 1, Pp 1-32 (2024)
Data-science is an interdisciplinary research working on data from different fields. When analyzing these data, data scientists implicitly agree to follow the rules governing these fields. However, the responsibilities of the involved actors are not
Externí odkaz:
https://doaj.org/article/f155e49905384568bd55288fffd6a258
Autor:
Michele Esposito, Giancarlo Valente, Yenisel Plasencia-Calaña, Michel Dumontier, Bruno L. Giordano, Elia Formisano
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Sound recognition is effortless for humans but poses a significant challenge for artificial hearing systems. Deep neural networks (DNNs), especially convolutional neural networks (CNNs), have recently surpassed traditional machine learning i
Externí odkaz:
https://doaj.org/article/e19d88604e7a49d6bca4b550622cb912