What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Machine learning
His main research concerns Artificial intelligence, Computer vision, Pattern recognition, Feature extraction and Artificial neural network.
His research on Artificial intelligence frequently connects to adjacent areas such as Machine learning.
His Computer vision research includes themes of Focus and Search engine indexing.
His Pattern recognition study integrates concerns from other disciplines, such as Self-organizing map, Motion detection, Markov model and Maxima and minima.
Stefanos Kollias has researched Feature extraction in several fields, including Feature, Cluster analysis, Facial expression, Invariant and Visualization.
His work carried out in the field of Artificial neural network brings together such families of science as Network planning and design, Traffic generation model, Computer network, Real-time computing and Internet Protocol.
His most cited work include:
- Emotion recognition in human-computer interaction (1899 citations)
- A string metric for ontology alignment (376 citations)
- 2005 Special Issue: Emotion recognition through facial expression analysis based on a neurofuzzy network (190 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Artificial intelligence, Computer vision, Pattern recognition, Artificial neural network and Feature extraction.
His studies link Machine learning with Artificial intelligence.
His Computer vision study frequently links to adjacent areas such as Invariant.
His Pattern recognition study combines topics from a wide range of disciplines, such as Contextual image classification, Facial recognition system and Image retrieval.
His Artificial neural network research is multidisciplinary, relying on both Algorithm, Adaptation and Cluster analysis.
The various areas that Stefanos Kollias examines in his Facial expression study include Computer facial animation and Human–computer interaction.
He most often published in these fields:
- Artificial intelligence (65.45%)
- Computer vision (32.05%)
- Pattern recognition (22.27%)
What were the highlights of his more recent work (between 2014-2021)?
- Artificial intelligence (65.45%)
- Machine learning (11.36%)
- Deep learning (8.64%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Artificial intelligence, Machine learning, Deep learning, Convolutional neural network and Artificial neural network.
His Artificial intelligence research incorporates themes from Adaptation and Computer vision.
The concepts of his Machine learning study are interwoven with issues in Task, Parkinson's disease and Medical imaging.
His Deep learning research includes elements of Recurrent neural network and Latent variable.
His studies in Convolutional neural network integrate themes in fields like Metadata, Object detection, Frequency domain and Visualization.
Stefanos Kollias combines subjects such as End-to-end principle and Data mining with his study of Artificial neural network.
Between 2014 and 2021, his most popular works were:
- Deep neural architectures for prediction in healthcare (44 citations)
- A Deep Learning Approach to Anomaly Detection in Nuclear Reactors (26 citations)
- Adaptation and contextualization of deep neural network models (24 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- Computer vision
His primary areas of investigation include Artificial intelligence, Deep learning, Machine learning, Artificial neural network and Convolutional neural network.
His studies deal with areas such as Computer vision and Pattern recognition as well as Artificial intelligence.
His study in Deep learning is interdisciplinary in nature, drawing from both Routing, Recurrent neural network and Mathematical optimization.
His study in Machine learning is interdisciplinary in nature, drawing from both Parkinson's disease and Medical imaging.
Many of his research projects under Artificial neural network are closely connected to Capsule with Capsule, tying the diverse disciplines of science together.
As part of one scientific family, Stefanos Kollias deals mainly with the area of Convolutional neural network, narrowing it down to issues related to the Visualization, and often Metadata, Annotation, Object detection and Facial recognition system.
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