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pro vyhledávání: '"P. Dumontier"'
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
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
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
Arguments for the FAIR principles have mostly been based on appeals to values. However, the work of onboarding diverse researchers to make efficient and effective implementations of FAIR requires different appeals. In our recent effort to transform t
Externí odkaz:
http://arxiv.org/abs/2303.07429
Autor:
Urovi, Visara, Celebi, Remzi, Sun, Chang, Rieswijk, Linda, Erard, Michael, Yilmaz, Arif, Moodley, Kody, Kumar, Parveen, Dumontier, Michel
Data science is an interdisciplinary research area where scientists are typically working with data coming from different fields. When using and analyzing data, the scientists implicitly agree to follow standards, procedures, and rules set in these f
Externí odkaz:
http://arxiv.org/abs/2302.01041
Autor:
Deepanjali Dwivedi, Dimitri Dumontier, Mia Sherer, Sherry Lin, Andrea M. C. Mirow, Yanjie Qiu, Qing Xu, Samuel A. Liebman, Djeckby Joseph, Sandeep R. Datta, Gord Fishell, Gabrielle Pouchelon
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-17 (2024)
Abstract During brain development, neural circuits undergo major activity-dependent restructuring. Circuit wiring mainly occurs through synaptic strengthening following the Hebbian “fire together, wire together” precept. However, select connectio
Externí odkaz:
https://doaj.org/article/e0338521ac084559aa0862e719a633cd