- F Rodriguez-Sanchez, C Rodriguez-Blazquez, C Bielza, P Larrañaga, … Identifying Parkinson’s disease subtypes with motor and non-motor symptoms via model-based multi-partition clustering, Scientific Reports 11 (1), 1-10
- C Villa‐Blanco, P Larrañaga, C Bielza, Multidimensional continuous time Bayesian network classifiers, International Journal of Intelligent Systems 36 (12), 7839-7866
- D Quesada, G Valverde, P Larranaga, C Bielza, Long-term forecasting of multivariate time series in industrial furnaces with dynamic Gaussian Bayesian networks, Engineering Applications of Artificial Intelligence 103, 104301
- R Yuste, M Hawrylycz, N Aalling, A Aguilar-Valles, D Arendt, RA Arnedillo, …Publisher Correction: A community-based transcriptomics classification and nomenclature of neocortical cell types, Nature Neuroscience 24 (4), 613-613
- R Yuste, M Hawrylycz, N Aalling, A Aguilar-Valles, D Arendt, … Author Correction: A community-based transcriptomics classification and nomenclature of neocortical cell types, Nature Neuroscience 24 (4), 612-612
- Mihaljevic, B., P. Larrañaga, and C. Bielza, “Comparing the electophysiology and morphology of human and mouse layer 2/3 pyramidal neurons with Bayesian networks“, Frontiers in Neuroinformatics, accepted , 2021. Frontiers in neuroinformatics 15, 580873
- Benjumeda, M., Y-leng. Tan, G. Otárula K., D. Chandramohan, C. Edward F., A.. Hall, C. Bielza, P.. Larrañaga, E.. Kobayashi, and C.R.. Knowlton, “Patient specific prediction of temporal lobe epilepsy surgical outcomes”, Epilepsia , Accepted, 2021.Epilepsia 62 (9), 2113-2122
- Gil-Begue, S., C. Bielza, and P. Larrañaga, “Multi-dimensional Bayesian network classifiers: A survey”, Artificial Intelligence Review, vol. 54, issue 1, pp. 519–559, 2021.
- Michiels, M., P. Larrañaga, and C. Bielza, “BayeSuites: An open web framework for massive Bayesian networks focused on neuroscience“, Neurocomputing, vol. 428, pp. 166 – 181, 03/2021.
- Mihaljevic, B., C. Bielza, and P.. Larrañaga, “Bayesian networks for interpretable machine learning and optimization”, Neurocomputing, accepted, 2021. Neurocomputing 456, 648-665
- Puerto-Santana, C., P. Larrañaga, and C. Bielza, “Autoregressive Asymmetric Linear Gaussian Hidden Markov Models“, IEEE Transactions on Pattern Analysis and Machine Intelligence, 03
