What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Machine learning
- Artificial neural network
Vassilios Petridis mainly focuses on Artificial neural network, Artificial intelligence, Mathematical optimization, Genetic algorithm and Dynamic programming.
His work on Adaptive resonance theory as part of general Artificial neural network research is frequently linked to Term, bridging the gap between disciplines.
His work on Fuzzy set, Text categorization and Word as part of general Artificial intelligence research is often related to Data type, thus linking different fields of science.
In general Mathematical optimization, his work in Fitness function and Linear programming is often linked to Power system simulation and Energy management linking many areas of study.
His Fitness function research is multidisciplinary, incorporating elements of Optimal control, Quadratic programming and Constrained optimization.
His Genetic algorithm study often links to related topics such as Control theory.
His most cited work include:
- A genetic algorithm solution to the unit commitment problem (1008 citations)
- Optimal power flow by enhanced genetic algorithm (511 citations)
- A neural network short term load forecasting model for the Greek power system (318 citations)
What are the main themes of his work throughout his whole career to date?
Vassilios Petridis mainly investigates Artificial intelligence, Artificial neural network, Algorithm, Control theory and Machine learning.
His Artificial intelligence research incorporates themes from Computer vision and Pattern recognition.
His work carried out in the field of Artificial neural network brings together such families of science as Bayesian probability and Cluster analysis.
The various areas that Vassilios Petridis examines in his Algorithm study include Development, Feedforward neural network, Stability and Genetic algorithm, Mathematical optimization.
In the field of Genetic algorithm, his study on Population-based incremental learning overlaps with subjects such as Population.
His research in the fields of Fitness function and Constrained optimization overlaps with other disciplines such as Power system simulation and Data allocation.
He most often published in these fields:
- Artificial intelligence (38.66%)
- Artificial neural network (34.45%)
- Algorithm (19.33%)
What were the highlights of his more recent work (between 2005-2019)?
- Artificial intelligence (38.66%)
- Artificial neural network (34.45%)
- Pattern recognition (11.76%)
In recent papers he was focusing on the following fields of study:
Vassilios Petridis mostly deals with Artificial intelligence, Artificial neural network, Pattern recognition, Particle filter and Computer vision.
His study connects Machine learning and Artificial intelligence.
The study incorporates disciplines such as Feature extraction, Lattice, Cluster analysis and Pattern recognition in addition to Artificial neural network.
His Particle filter research also works with subjects such as
- Simultaneous localization and mapping which intersects with area such as Point, Monte Carlo localization and Probabilistic logic,
- Algorithm which intersects with area such as Mathematical optimization, Generative grammar, Monte Carlo method and Nonlinear system.
His Mathematical optimization research includes elements of Bayesian information criterion and Test method.
His Word research is multidisciplinary, incorporating perspectives in Function and Global optimization.
Between 2005 and 2019, his most popular works were:
- Bowel-sound pattern analysis using wavelets and neural networks with application to long-term, unsupervised, gastrointestinal motility monitoring (52 citations)
- A dynamic programming segmentation procedure for hydrological and environmental time series (44 citations)
- A multilayered neuro-fuzzy classifier with self-organizing properties (34 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- Artificial neural network
His primary scientific interests are in Artificial intelligence, Algorithm, Pattern recognition, Artificial neural network and Pattern recognition.
His Artificial intelligence research focuses on Machine learning and how it relates to Fuzzy rule and Fuzzy set.
Vassilios Petridis has included themes like Simultaneous localization and mapping, Extended Kalman filter, Mathematical optimization and Curse of dimensionality in his Algorithm study.
His Genetic algorithm and Metaheuristic study in the realm of Mathematical optimization interacts with subjects such as Power system security.
His Artificial neural network research is multidisciplinary, incorporating elements of Feature, Expert system, Speech recognition and Robustness.
His Pattern recognition study combines topics from a wide range of disciplines, such as Fuzzy classification and Ant colony optimization algorithms.
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