Alberto Giovanni Busetto
Cited by
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Approximate bayesian computation
M Sunnåker, AG Busetto, E Numminen, J Corander, M Foll, C Dessimoz
PLoS Comput Biol 9 (1), e1002803, 2013
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
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
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
Modelling and optimizing the process of learning mathematics
T Käser, AG Busetto, GM Baschera, J Kohn, K Kucian, M von Aster, ...
International Conference on Intelligent Tutoring Systems, 389-398, 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 mathematics learning in children
T Käser, AG Busetto, B Solenthaler, GM Baschera, J Kohn, K Kucian, ...
International Journal of Artificial Intelligence in Education 23 (1-4), 115-135, 2013
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
Stable Bayesian parameter estimation for biological dynamical systems
AG Busetto, JM Buhmann
2009 International Conference on Computational Science and Engineering 1 …, 2009
Cluster-based prediction of mathematical learning patterns
T Käser, AG Busetto, B Solenthaler, J Kohn, M von Aster, M Gross
International conference on artificial intelligence in education, 389-399, 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
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
Structure identification by optimized interventions
AG Busetto, J Buhmann
Artificial Intelligence and Statistics, 57-64, 2009
Observer design for boolean control networks with unknown inputs
C Possieri, AG Busetto
IET Control Theory & Applications 11 (13), 2116-2121, 2017
Stealth assessment in ITS-A study for developmental dyscalculia
S Klingler, T Käser, AG Busetto, B Solenthaler, J Kohn, M von Aster, ...
International Conference on Intelligent Tutoring Systems, 79-89, 2016
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
Near-optimal selection of parallel inputs in Bayesian experimental design for systems biology
AG Busetto, J Lygeros
2014 European Control Conference (ECC), 540-545, 2014
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