A. Busetto

发表

Stable Bayesian Parameter Estimation for Biological Dynamical Systems

Joachim M. Buhmann, Alberto Giovanni Busetto, J. Buhmann, 2009, 2009 International Conference on Computational Science and Engineering.

Automatic Generation of Predictive Dynamic Models Reveals Nuclear Phosphorylation as the Key Msn2 Control Mechanism

A. Wagner, J. Stelling, A. Busetto, 2013, Science Signaling.

APPROXIMATION SET CODING FOR INFORMATION THEORETIC MODEL VALIDATION

J. Buhmann, M. Chehreghani, A. Busetto, 2012 .

Thaumasite as decay product of cement mortar in brick masonry of a church near Venice

A. Busetto, C. Rodriguez-Navarro, M. Setti, 2003 .

Extracting the Measurement Information Core for Model Selection of Dynamical Systems

Cheng Soon Ong, J. Buhmann, A. Busetto, 2009 .

Multifaceted Activities of Type I Interferon Are Revealed by a Receptor Antagonist

C. Rice, G. Schreiber, A. Busetto, 2014, Science Signaling.

Approximate Bayesian Computation

Jukka Corander, Mikael Sunnåker, Christophe Dessimoz, 2013, PLoS Comput. Biol..

Inferring causal metabolic signals that regulate the dynamic TORC1-dependent transcriptome

J. Buhmann, J. Stelling, U. Sauer, 2015, Molecular systems biology.

Unsupervised modeling of cell morphology dynamics for time-lapse microscopy

Joachim M Buhmann, Qing Zhong, Alberto Giovanni Busetto, 2012, Nature Methods.

Information Theoretic Model Validation for Spectral Clustering

Joachim M. Buhmann, Morteza Haghir Chehreghani, Alberto Giovanni Busetto, 2012, AISTATS.

Modelling and Optimizing Mathematics Learning in Children

K. Kucian, B. Solenthaler, Tanja Käser, 2013, International Journal of Artificial Intelligence in Education.

Modelling and Optimizing the Process of Learning Mathematics

Markus H. Gross, Alberto Giovanni Busetto, Tanja Käser, 2012, ITS.

Experimental design for system identification of Boolean Control Networks in biology

John Lygeros, Alberto Giovanni Busetto, J. Lygeros, 2014, 53rd IEEE Conference on Decision and Control.

Near-optimal experimental design for model selection in systems biology

Joachim M. Buhmann, Cheng Soon Ong, Mikael Sunnåker, 2013, Bioinform..

Optimized expected information gain for nonlinear dynamical systems

Joachim M. Buhmann, Cheng Soon Ong, Alberto Giovanni Busetto, 2009, ICML '09.

Towards a Framework for Modelling Engagement Dynamics in Multiple Learning Domains

Joachim M. Buhmann, Markus H. Gross, Barbara Solenthaler, 2013, Int. J. Artif. Intell. Educ..

Observer design for Boolean control networks with unknown inputs

Corrado Possieri, Alberto Giovanni Busetto, C. Possieri, 2017 .

Computational mechanical modeling of the behavior of carbon nanotubes

A. Busetto, M. Cecchi, 2007 .

Stealth Assessment in ITS - A Study for Developmental Dyscalculia

Markus H. Gross, Barbara Solenthaler, Severin Klingler, 2016, ITS.

Cluster-Based Prediction of Mathematical Learning Patterns

Markus H. Gross, Barbara Solenthaler, Alberto Giovanni Busetto, 2013, AIED.

Near-optimal selection of parallel inputs in Bayesian experimental design for systems biology

John Lygeros, Alberto Giovanni Busetto, J. Lygeros, 2014, 2014 European Control Conference (ECC).

Automatic Generation of Predictive Dynamic Models Reveals Nuclear Phosphorylation as the Key Msn2 Control Mechanism

A. Wagner, J. Stelling, A. Busetto, 2013, Science Signaling.

Computational Design of Informative Experiments in Systems Biology

Joachim M. Buhmann, Mikael Sunnåker, Alberto Giovanni Busetto, 2014 .

Bayesian Parameter Estimation for Dynamical Biological Systems with Adaptive Sparse Grids 6 Testing and Evaluation on Kinetic Model for Nitric Oxide Synthase 1.1 Related Work

J. Buhmann, A. Busetto, Eth Zürich, 2022 .

Approximate Bayesian Computation

J. Corander, A. Busetto, C. Dessimoz, 2013, PLoS Comput. Biol..