Zobrazeno 1 - 10
of 5 101
pro vyhledávání: '"Bontempi A"'
Autor:
Halin, Anaïs, Piérard, Sébastien, Vandeghen, Renaud, Gérin, Benoît, Zanella, Maxime, Colot, Martin, Held, Jan, Cioppa, Anthony, Jean, Emmanuel, Bontempi, Gianluca, Mahmoudi, Saïd, Macq, Benoît, Van Droogenbroeck, Marc
Characterizing domains is essential for models analyzing dynamic environments, as it allows them to adapt to evolving conditions or to hand the task over to backup systems when facing conditions outside their operational domain. Existing solutions ty
Externí odkaz:
http://arxiv.org/abs/2411.14827
Autor:
Tribel, Pascal, Bontempi, Gianluca
Seismic data is often sparse and unevenly distributed due to the high costs and logistical challenges associated with deploying physical seismometers, limiting the application of Machine Learning (ML) in earthquake analysis. To address this gap, we i
Externí odkaz:
http://arxiv.org/abs/2411.12636
Publikováno v:
Sound and Music Computing Conference, Jul 2024, Porto, Portugal
Although the automatic identification of the optimal fingering for the performance of melodies on fretted string instruments has already been addressed (at least partially) in the literature, the specific case regarding lead electric guitar requires
Externí odkaz:
http://arxiv.org/abs/2407.09052
Autor:
Colot, Martin, Simar, Cédric, Petieau, Mathieu, Alvarez, Ana Maria Cebolla, Cheron, Guy, Bontempi, Gianluca
Electromyograms (EMG)-based hand gesture recognition systems are a promising technology for human/machine interfaces. However, one of their main limitations is the long calibration time that is typically required to handle new users. The paper discus
Externí odkaz:
http://arxiv.org/abs/2401.05386
Uplift modeling, also known as individual treatment effect (ITE) estimation, is an important approach for data-driven decision making that aims to identify the causal impact of an intervention on individuals. This paper introduces a new benchmark dat
Externí odkaz:
http://arxiv.org/abs/2312.07206
Autor:
Bontempi, Maria Elena, Ditzen, Jan
We introduce a new estimator, CRE-GMM, which exploits the correlated random effects (CRE) approach within the generalised method of moments (GMM), specifically applied to level equations, GMM-lev. It has the advantage of estimating the effect of meas
Externí odkaz:
http://arxiv.org/abs/2312.00399
Autor:
Bontempi, Gianluca
Intelligent agents rely on AI/ML functionalities to predict the consequence of possible actions and optimise the policy. However, the effort of the research community in addressing prediction accuracy has been so intense (and successful) that it crea
Externí odkaz:
http://arxiv.org/abs/2310.02029
Autor:
Reyhaneh Niayesh-Mehr, Mojtaba Kalantar, Giulio Bontempi, Claudia Montaldo, Saeedeh Ebrahimi, Abdolamir Allameh, Ghader Babaei, Faezeh Seif, Raffaele Strippoli
Publikováno v:
Cell Communication and Signaling, Vol 22, Iss 1, Pp 1-16 (2024)
Abstract Despite the tremendous advancements in the knowledge of the pathophysiology and clinical aspects of SARS-CoV-2 infection, still many issues remain unanswered, especially in the long-term effects. Mounting evidence suggests that pulmonary fib
Externí odkaz:
https://doaj.org/article/eb2fbefc3d8f4831a55341f22cd70047
Autor:
Davide Saporito, Eduardo Celentano, Claudia Amellone, Gabriele Zanotto, Matteo Baroni, Gennaro Miracapillo, Mauro Biffi, Valeria Calvi, Lorenzo Spighi, Antonio Curnis, Ennio Carmine Luigi Pisanò, Giovanni Rovaris, Gaetano Senatore, Fabrizio Caravati, Francesca Notarangelo, Massimiliano Marini, Francesco Solimene, Marcello Piacenti, Luca Tomasi, Luca Bontempi, Gerardo Nigro, Luca Poggio, Stefano Pedretti, Marzia Giaccardi, Paolo Pastori, Enrica Talini, Giampiero Maglia, Irene Baldassarre, Daniele Giacopelli, Alessio Gargaro, Massimo Giammaria
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract The historical restriction of magnetic resonance imaging (MRI) for patients with cardiac implantable electronic devices (CIEDs) has been lifted by certified MRI-conditional systems in recent years. Mixed-brand CIED systems consisting of a ge
Externí odkaz:
https://doaj.org/article/76c5947bd48343dcbcfd367a3431bdd0
Despite the growing popularity of machine-learning techniques in decision-making, the added value of causal-oriented strategies with respect to pure machine-learning approaches has rarely been quantified in the literature. These strategies are crucia
Externí odkaz:
http://arxiv.org/abs/2309.12036