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Roberta De Asmundis
Roberta De Asmundis
Department of Statistical Sciences, Sapienza University of Rome
Verified email at uniroma1.it
Title
Cited by
Cited by
Year
On spectral properties of steepest descent methods
R De Asmundis, D di Serafino, F Riccio, G Toraldo
IMA Journal of Numerical Analysis 33 (4), 1416-1435, 2013
892013
An efficient gradient method using the Yuan steplength
R De Asmundis, D Di Serafino, WW Hager, G Toraldo, H Zhang
Computational Optimization and Applications 59, 541-563, 2014
842014
Social, constructivist and informal learning processes: together on the edge for designing digital game-based learning environments.
AUS Gianvito D'Aprile, Pierpaolo Di Bitonto, Roberta De Asmundis
Journal of e-Learning and Knowledge Society 11 (3), 27-43, 2015
192015
On the regularizing behavior of the SDA and SDC gradient methods in the solution of linear ill-posed problems
R De Asmundis, D Di Serafino, G Landi
Journal of Computational and Applied Mathematics 302, 81-93, 2016
172016
Decentralized topology control for robotic networks with limited field of view sensors
D Di Paola, R De Asmundis, A Gasparri, A Rizzo
2012 American Control Conference (ACC), 3167-3172, 2012
92012
Supervised classification methods for mining cell differences as depicted by Raman spectroscopy
P Xanthopoulos, R De Asmundis, MR Guarracino, G Pyrgiotakis, ...
Computational Intelligence Methods for Bioinformatics and Biostatistics: 7th …, 2011
52011
New gradient methods: spectral properties and steplength selection
R De Asmundis
Università degli Studi di Roma" La Sapienza", 2014
12014
Mathematical Models of Supervised Learning and Application to Medical Diagnosis
R De Asmundis, MR Guarracino
Optimization and Data Analysis in Biomedical Informatics, 67-81, 2012
12012
Cibopolis: a serious game based on socio-constructivist learning approach.
PDB Gianvito D'Aprile, Roberta De Asmundis, Antonio De Girolamo
proceedings of Player and Learner experience (PALX), 2015
2015
On the regularizing behavior of recent gradient methods in the solution of linear ill-posed problems
R De Asmundis, D di Serafino, G Landi
2014
Prior Knowledge in the Classification of Biomedical Data
D Abbate, R De Asmundis, MR Guarracino
Combining Soft Computing and Statistical Methods in Data Analysis, 1-8, 2010
2010
Je-LKS
G D’Aprile, P Di Bitonto, R De Asmundis, AU Severino
Cibopolis: a serious game based on socio-constructivist learning approach
G D’Aprile, P Dibitonto, R De Asmundis, R Memeo, A De Girolamo
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