Larrañaga, Pedro

Machine learning in bioinformatics

Larrañaga, P., Calvo, B., Santana, R., Bielza, C., Galdiano, J., Inza, I., Lozano, J. A., Armañanzas, R., Santafé, G., Pérez, A., et al. (2006) · Briefings in Bioinformatics

Machine Learning in BioinformaticsGenomics and Phylogenetic Studies

Cited by 867

New insights into the classification and nomenclature of cortical GABAergic interneurons

DeFelipe, J., López-Cruz, P. L., Benavides-Piccione, R., Bielza, C., Larrañaga, P., Anderson, S., Burkhalter, A., Cauli, B., Fairén, A., Feldmeyer, D., et al. (2013) · Nature Reviews Neuroscience

Neuroscience and Neuropharmacology ResearchCell Image Analysis Techniques

Cited by 833

Discrete Bayesian Network Classifiers: A Survey

Bielza, C., & Larrañaga, P. (2014) · ACM Computing Surveys

Bayesian Modeling and Causal InferenceData Mining and Machine Learning Applications

Cited by 248

Bayesian networks for interpretable machine learning and optimization

Mihaljević, B., Bielza, C., & Larrañaga, P. (2021) · Neurocomputing

Bayesian Modeling and Causal InferenceExplainable Artificial Intelligence (XAI)

Cited by 123

A Review on Estimation of Distribution Algorithms

Larrañaga, P. (2002) · Genetic Algorithms and Evolutionary Computation

Metaheuristic Optimization Algorithms ResearchEvolutionary Algorithms and Applications

Cited by 100

A community-based transcriptomics classification and nomenclature of neocortical cell types

Yuste, R., Hawrylycz, M., Aalling, N., Aguilar-Valles, A., Arendt, D., Armañanzas, R., Ascoli, G. A., Bielza, C., Bokharaie, V., Bergmann, T. B., et al. (2020) · Nature Neuroscience

Single-cell and spatial transcriptomicsCell Image Analysis Techniques

Cited by 32