Zobrazeno 1 - 10
of 5 134
pro vyhledávání: '"P. Moret"'
Autor:
Bobes-Bascarán, José, Mosqueira-Rey, Eduardo, Fernández-Leal, Ángel, Hernández-Pereira, Elena, Alonso-Ríos, David, Moret-Bonillo, Vicente, Figueirido-Arnoso, Israel, Vidal-Ínsua, Yolanda
This paper presents a comprehensive study on the evaluation of explanatory capabilities of machine learning models, with a focus on Decision Trees, Random Forest and XGBoost models using a pancreatic cancer dataset. We use Human-in-the-Loop related t
Externí odkaz:
http://arxiv.org/abs/2403.19820
Uncertainties surrounding the energy transition often lead modelers to present large sets of scenarios that are challenging for policymakers to interpret and act upon. An alternative approach is to define a few qualitative storylines from stakeholder
Externí odkaz:
http://arxiv.org/abs/2311.06625
Autor:
Doerr, Daniel, Moret, Bernard M. E.
In ongoing work to define a principled method for syntenic block discovery and structuring, work based on homology-derived constraints and a generalization of common intervals, we faced a fundamental computational problem: how to determine quickly, a
Externí odkaz:
http://arxiv.org/abs/2304.02657
Despite the great current relevance of Artificial Intelligence, and the extraordinary innovations that this discipline has brought to many fields -among which, without a doubt, medicine is found-, experts in medical applications of Artificial Intelli
Externí odkaz:
http://arxiv.org/abs/2303.10142
We discuss the relationships between the outcome of the COVID-19 pandemic in Brazil at the municipal level and different health, social, demographic, and economic indices. We obtain significant correlations between the data gathered for each municipa
Externí odkaz:
http://arxiv.org/abs/2210.10840
We study how available data on COVID-19 cases and deaths in different countries are reliable. Our analysis is based on a modification of the law of anomalous numbers, the Newcomb-Benford law, applied to the daily number of deaths and new cases in eac
Externí odkaz:
http://arxiv.org/abs/2208.11226
Energy systems modellers often resort to simplified system representations and deterministic model formulations (i.e., not considering uncertainty) to preserve computational tractability. However, reduced levels of detail and neglected uncertainties
Externí odkaz:
http://arxiv.org/abs/2208.07958
Autor:
Houard, Aurélien, Walch, Pierre, Produit, Thomas, Moreno, Victor, Mahieu, Benoit, Sunjerga, Antonio, Herkommer, Clemens, Mostajabi, Amirhossein, Andral, Ugo, André, Yves-Bernard, Lozano, Magali, Bizet, Laurent, Schroeder, Malte C., Schimmel, Guillaume, Moret, Michel, Stanley, Mark, Rison, W. A., Maurice, Oliver, Esmiller, Bruno, Michel, Knut, Haas, Walter, Metzger, Thomas, Rubinstein, Marcos, Rachidi, Farhad, Cooray, Vernon, Mysyrowicz, André, Kasparian, Jérôme, Wolf, Jean-Pierre
Publikováno v:
Nature Photonics 17, 231 (2023)
Electric currents circulating between charged clouds and the earth surface during lightning discharges are responsible for considerable damages and casualties. It is therefore important to develop better protection methods in addition to the traditio
Externí odkaz:
http://arxiv.org/abs/2207.03769
Autor:
Moret-Bailly, Laurent
Publikováno v:
Israel Journal of Mathematics, 257, 519-531 (2023)
We prove an analogue of the Weierstrass preparation theorem for henselian pairs, generalizing the local case recently proved by Bouthier and {\v C}esnavi{\v c}ius. As an application, we construct a henselian analogue of the resultant of p-adic series
Externí odkaz:
http://arxiv.org/abs/2112.13552
Spike proteins, 1200 amino acids, are divided into two nearly equal parts, S1 and S2. We review here phase transition theory, implemented quantitatively by thermodynamic scaling. The theory explains the evolution of Coronavirus extremely high contagi
Externí odkaz:
http://arxiv.org/abs/2107.07047