What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Operating system
- Computer network
Alberto Prieto mostly deals with Artificial intelligence, Artificial neural network, Algorithm, Multilayer perceptron and Mathematical optimization.
His study in Artificial intelligence is interdisciplinary in nature, drawing from both Machine learning and Pattern recognition.
His Artificial neural network study frequently involves adjacent topics like Correlation clustering.
His Algorithm research is multidisciplinary, incorporating elements of Generalization and Taylor series.
His Multilayer perceptron research includes themes of Genetic algorithm, Fault tolerance, Mean squared error, Evolutionary algorithm and Perceptron.
Alberto Prieto has included themes like Fuzzy set, Fuzzy mathematics, Membership function, Fuzzy number and Defuzzification in his Mathematical optimization study.
His most cited work include:
- Editorial: Computational intelligence and bioinspired systems (157 citations)
- Time series analysis using normalized PG-RBF network with regression weights (133 citations)
- Self-organized fuzzy system generation from training examples (132 citations)
What are the main themes of his work throughout his whole career to date?
Alberto Prieto mainly investigates Artificial intelligence, Artificial neural network, Algorithm, Computer network and Fuzzy logic.
The Artificial intelligence study combines topics in areas such as Machine learning and Pattern recognition.
His Artificial neural network study frequently draws connections between adjacent fields such as Genetic algorithm.
The various areas that Alberto Prieto examines in his Algorithm study include Mean squared error, Mathematical optimization, Series, Function approximation and Robustness.
His Fuzzy logic study combines topics in areas such as Cluster analysis and Control theory.
His Defuzzification study also includes
- Neuro-fuzzy which is related to area like Fuzzy set operations and Fuzzy classification,
- Membership function together with Fuzzy number.
He most often published in these fields:
- Artificial intelligence (33.33%)
- Artificial neural network (31.09%)
- Algorithm (17.98%)
What were the highlights of his more recent work (between 2011-2021)?
- Computer network (11.99%)
- Event (3.37%)
- Artificial intelligence (33.33%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Computer network, Event, Artificial intelligence, The Internet and World Wide Web.
Alberto Prieto has researched Computer network in several fields, including Distributed computing and Service level.
His Artificial intelligence research includes elements of Machine learning and Dementia.
His work on Evolutionary computation and Artificial neural network as part of general Machine learning research is often related to Neuroimaging, thus linking different fields of science.
His biological study spans a wide range of topics, including Computational neuroscience and Management science.
His Fuzzy logic study also includes fields such as
- Control theory that intertwine with fields like Control system,
- Adaptive control, which have a strong connection to Fuzzy number and Defuzzification.
Between 2011 and 2021, his most popular works were:
- Daily living activity recognition based on statistical feature quality group selection (95 citations)
- An auditory brain-computer interface with accuracy prediction. (40 citations)
- An auditory brain–computer interface evoked by natural speech (39 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Operating system
- Computer network
His scientific interests lie mostly in Artificial intelligence, Machine learning, Computer network, World Wide Web and Work.
His Artificial intelligence study frequently draws parallels with other fields, such as Dementia.
When carried out as part of a general Machine learning research project, his work on Artificial neural network, Computational intelligence and Evolutionary computation is frequently linked to work in Medical decision making, therefore connecting diverse disciplines of study.
He combines subjects such as Intelligent control, Computational learning theory and Artificial Intelligence System with his study of Artificial neural network.
The concepts of his Computer network study are interwoven with issues in Distributed computing, Overlay network, Cover and Service level.
His Neuro-fuzzy research is multidisciplinary, relying on both Fuzzy classification and Fuzzy rule.
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