Vı́ctor Elvira
About
Vı́ctor Elvira has authored 79 papers that have received a total of 1.3k indexed citations.
This includes 50 papers in Artificial Intelligence, 30 papers in Statistics and Probability and 20 papers in Computer Networks and Communications. The topics of these papers are Target Tracking and Data Fusion in Sensor Networks (25 papers), Bayesian Methods and Mixture Models (20 papers) and Gaussian Processes and Bayesian Inference (20 papers). Vı́ctor Elvira is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (25 papers), Bayesian Methods and Mixture Models (20 papers) and Gaussian Processes and Bayesian Inference (20 papers) and collaborates with scholars based in Spain, United Kingdom and France. Vı́ctor Elvira's co-authors include Luca Martino, David Luengo, Mónica F. Bugallo, Ignacio Santamarı́a and Émilie Chouzenoux and has published in prestigious journals such as IEEE Transactions on Power Systems, IEEE Transactions on Signal Processing and Energy
In The Last Decade
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