Alberto Giovanni Busetto
Cited by
Cited by
Approximate bayesian computation
M Sunnåker, AG Busetto, E Numminen, J Corander, M Foll, C Dessimoz
PLoS computational biology 9 (1), e1002803, 2013
Multifaceted activities of type I interferon are revealed by a receptor antagonist
D Levin, WM Schneider, HH Hoffmann, G Yarden, AG Busetto, O Manor, ...
Science signaling 7 (327), ra50-ra50, 2014
Unsupervised modeling of cell morphology dynamics for time-lapse microscopy
Q Zhong, AG Busetto, JP Fededa, JM Buhmann, DW Gerlich
nature methods 9 (7), 711-713, 2012
Automatic generation of predictive dynamic models reveals nuclear phosphorylation as the key Msn2 control mechanism
M Sunnåker, E Zamora-Sillero, R Dechant, C Ludwig, AG Busetto, ...
Science signaling 6 (277), ra41-ra41, 2013
Near-optimal experimental design for model selection in systems biology
AG Busetto, A Hauser, G Krummenacher, M Sunnåker, S Dimopoulos, ...
Bioinformatics 29 (20), 2625-2632, 2013
Information theoretic model validation for spectral clustering
MH Chehreghani, AG Busetto, JM Buhmann
Artificial Intelligence and Statistics, 495-503, 2012
Inferring causal metabolic signals that regulate the dynamic TORC 1‐dependent transcriptome
AP Oliveira, S Dimopoulos, AG Busetto, S Christen, R Dechant, L Falter, ...
Molecular systems biology 11 (4), 802, 2015
Modelling and optimizing the process of learning mathematics
T Käser, AG Busetto, GM Baschera, J Kohn, K Kucian, M Aster, M Gross
International Conference on Intelligent Tutoring Systems, 389-398, 2012
Modelling and optimizing mathematics learning in children
T Käser, AG Busetto, B Solenthaler, GM Baschera, J Kohn, K Kucian, ...
International Journal of Artificial Intelligence in Education 23 (1), 115-135, 2013
Stable Bayesian parameter estimation for biological dynamical systems
AG Busetto, JM Buhmann
2009 International Conference on Computational Science and Engineering 1 …, 2009
Optimized expected information gain for nonlinear dynamical systems
AG Busetto, CS Ong, JM Buhmann
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
Cluster-based prediction of mathematical learning patterns
T Käser, AG Busetto, B Solenthaler, J Kohn, M Aster, M Gross
International conference on artificial intelligence in education, 389-399, 2013
Towards a framework for modelling engagement dynamics in multiple learning domains
T Käser, GM Baschera, AG Busetto, S Klingler, B Solenthaler, ...
International journal of artificial intelligence in education 22 (1-2), 59-83, 2013
Modeling engagement dynamics in spelling learning
GM Baschera, AG Busetto, S Klingler, JM Buhmann, M Gross
International Conference on Artificial Intelligence in Education, 31-38, 2011
Structure identification by optimized interventions
AG Busetto, J Buhmann
Artificial Intelligence and Statistics, 57-64, 2009
Stealth assessment in ITS-a study for developmental dyscalculia
S Klingler, T Käser, AG Busetto, B Solenthaler, J Kohn, M Aster, M Gross
International conference on intelligent tutoring systems, 79-89, 2016
Observer design for boolean control networks with unknown inputs
C Possieri, A Giovanni Busetto
IET Control Theory & Applications 11 (13), 2116-2121, 2017
Experimental design for system identification of boolean control networks in biology
AG Busetto, J Lygeros
53rd IEEE Conference on Decision and Control, 5704-5709, 2014
Pairwise proximity-based features for test escape screening
F Lin, CK Hsu, AG Busetto, KT Cheng
2015 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 300-306, 2015
Computational mechanical modeling of the behavior of carbon nanotubes
MM Cecchi, A Busetto
Istasc 7, 58-65, 2007
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