to determine the in-game status we tested four established machine learning methods: logistic regression, decision trees, random forests, and AdaBoost. The models were trained and evaluated using spatiotemporal data and manually annotated in-game status of 102 matches in the German Bundesliga. Result...
with information about the robot's lack of human psychological capacities. Such information led children to anthropomorphize the robot less and decreased children's trust in the robot as well as their perception of its animacy, social presence, and similarity to themselves (Van Straten et al.,...
doi:WO2014080056 A1CASTELLANO CABAL, Gustavo AlbertoWO
Ruffini, G.; Ibañez, D.; Castellano, M.; Dubreuil-Vall, L.; Soria-Frisch, A.; Postuma, R.; Gagnon, J.-F.; Montplaisir, J. Deep Learning with EEG Spectrograms in Rapid Eye Movement Behavior Disorder.Front. Neurol.2019,10, 806. [Google Scholar] [CrossRef] [Green Version] ...
In Section 5, as a quantum machine learning application, we report the fit to the u-quark Parton Distribution Function of the proton with the superconducting qubit device. Finally, in Section 6, we describe a new measurement protocol for a low dark-count photon detector with two qubits. 2....
This study aims to provide a quick and easy machine learning (ML) model for the early screening of individuals with ASD, which can potentially be applied for the early screening and identification of children with ASD. This study investigates the narrative production and expressive vocabulary skills...
Casalino, G.; Castellano, G.; Consiglio, A.; Nuzziello, N.; Vessio, G. MicroRNA expression classification for pediatric multiple sclerosis identification. J. Ambient Intell. Humaniz. Comput. 2021, 1–10. [Google Scholar] [CrossRef] Schwab, P.; Karlen, W. A Deep Learning Approach to ...
diabetic foot sepsis; COVID-19; HIV; machine learning; mortality1. Introduction Diabetic foot sepsis (DFS) is among the leading causes of hospital admission in individuals with diabetes mellitus (DM) [1,2]. The two most feared complications of DFS are major amputation and death [1,2,3,4,...
Castellano and Vessio used a deep learning approach that went beyond K-means clustering, in order to effectively apply clustering to visual works of art and specifically paintings, where traditional approaches were found lacking [20]. Clustering may find applications in various classification problems ...
Learning Assurance Analysis for Further Certification Process of Machine Learning Techniques: Case-Study Air Traffic Conflict Detection Predictor. Sensors 2022, 22, 7680. https://doi.org/10.3390/s22197680 AMA Style Pérez-Castán JA, Pérez Sanz L, Fernández-Castellano M, Radišić T, ...