Zobrazeno 1 - 10
of 356
pro vyhledávání: '"D'Albora A"'
In the early 2000s, renowned chef Heston Blumenthal formulated his "food pairing" hypothesis, positing that if foods share many flavor compounds, then they tend to taste good when eaten together. In 2011, Ahn et al. conducted a study using a dataset
Externí odkaz:
http://arxiv.org/abs/2406.15533
Defining and finalizing Mergers and Acquisitions (M&A) requires complex human skills, which makes it very hard to automatically find the best partner or predict which firms will make a deal. In this work, we propose the MASS algorithm, a specifically
Externí odkaz:
http://arxiv.org/abs/2404.07179
Autor:
J.-L. Bonne, L. Donnat, G. Albora, J. Burgalat, N. Chauvin, D. Combaz, J. Cousin, T. Decarpenterie, O. Duclaux, N. Dumelié, N. Galas, C. Juery, F. Parent, F. Pineau, A. Maunoury, O. Ventre, M.-F. Bénassy, L. Joly
Publikováno v:
Atmospheric Measurement Techniques, Vol 17, Pp 4471-4491 (2024)
We developed and tested a complete measurement system to quantify CO2 and CH4 emissions at the scale of an industrial site based on the innovative sensor Airborne Ultra-light Spectrometer for Environmental Application (AUSEA), operated on board uncre
Externí odkaz:
https://doaj.org/article/ac40fe71d9494cf48f6eeeb303c10bc5
Tree-based machine learning algorithms provide the most precise assessment of the feasibility for a country to export a target product given its export basket. However, the high number of parameters involved prevents a straightforward interpretation
Externí odkaz:
http://arxiv.org/abs/2212.03094
Many bipartite networks describe systems where an edge represents a relation between a user and an item. Measuring the similarity between either users or items is the basis of memory-based collaborative filtering, a widely used method to build a reco
Externí odkaz:
http://arxiv.org/abs/2210.07039
Autor:
Albora, Giambattista, Zaccaria, Andrea
The relatedness between a country or a firm and a product is a measure of the feasibility of that economic activity. As such, it is a driver for investments at a private and institutional level. Traditionally, relatedness is measured using networks d
Externí odkaz:
http://arxiv.org/abs/2202.00458
Economic complexity methods, and in particular relatedness measures, lack a systematic evaluation and comparison framework. We argue that out-of-sample forecast exercises should play this role, and we compare various machine learning models to set th
Externí odkaz:
http://arxiv.org/abs/2105.15018
Autor:
María Valentina Della Santa, Federico Lorenzo, Milexys Rivero rivero, Andrés Munyo, Joaquín Ferrer, Ineiris Mendoza, Germán Borche, Ricardo D´Albora, Alvaro Notejane, Álvero Ronco
Publikováno v:
Anales de la Facultad de Medicina, Vol 11, Iss 1, Pp e203-e203 (2024)
Introducción: El cáncer de laringe es el tumor maligno de mayor prevalencia en la Otorrinolaringología. La topografía glótica es la más frecuente en Uruguay y suele detectarse en estadios tempranos dada la manifestación precoz y sostenida de d
Externí odkaz:
https://doaj.org/article/b0a192bf12e04a1f9b58531ecb614320
Publikováno v:
In Knowledge-Based Systems 5 September 2023 275
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-17 (2023)
Abstract Economic complexity methods, and in particular relatedness measures, lack a systematic evaluation and comparison framework. We argue that out-of-sample forecast exercises should play this role, and we compare various machine learning models
Externí odkaz:
https://doaj.org/article/e7f1af82f1a64730b1b46a6b192790d8