What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Machine learning
His primary areas of study are Artificial intelligence, Computer vision, Segmentation, Computer security and Motion.
His Artificial intelligence research incorporates themes from Computation, Cognition and Acute stress.
Much of his study explores Computer vision relationship to International Affective Picture System.
The study incorporates disciplines such as Image processing, Image, Thresholding, Motion analysis and Fuzzy logic in addition to Segmentation.
His Computer security study incorporates themes from Scheduling, Interface and Robustness.
As part of the same scientific family, Antonio Fernández-Caballero usually focuses on Motion, concentrating on Sequence and intersecting with Set and Visual surveillance.
His most cited work include:
- A survey of video datasets for human action and activity recognition (296 citations)
- Finding out general tendencies in speckle noise reduction in ultrasound images (94 citations)
- Development of intelligent multisensor surveillance systems with agents (93 citations)
What are the main themes of his work throughout his whole career to date?
Antonio Fernández-Caballero focuses on Artificial intelligence, Computer vision, Human–computer interaction, Segmentation and Multi-agent system.
His research investigates the connection between Artificial intelligence and topics such as Computation that intersect with problems in Lateral inhibition.
His research related to Image, Pixel, Object, Image processing and Feature extraction might be considered part of Computer vision.
Antonio Fernández-Caballero combines topics linked to User interface with his work on Human–computer interaction.
His Multi-agent system research includes themes of Intelligent agent and Software engineering.
His research brings together the fields of Artificial neural network and Motion detection.
He most often published in these fields:
- Artificial intelligence (41.83%)
- Computer vision (23.53%)
- Human–computer interaction (15.03%)
What were the highlights of his more recent work (between 2018-2021)?
- Human–computer interaction (15.03%)
- Artificial intelligence (41.83%)
- Virtual reality (4.25%)
In recent papers he was focusing on the following fields of study:
Antonio Fernández-Caballero spends much of his time researching Human–computer interaction, Artificial intelligence, Virtual reality, Social cognition and Electroencephalography.
Antonio Fernández-Caballero interconnects Industry 4.0 and Gesture recognition in the investigation of issues within Human–computer interaction.
His research integrates issues of Computer vision and Pattern recognition in his study of Artificial intelligence.
His work deals with themes such as Generator and Complex system, which intersect with Computer vision.
His Social cognition research also works with subjects such as
- Schizophrenia most often made with reference to Clinical psychology,
- Facial expression, Cognitive psychology, Set, Expression and Happiness most often made with reference to Facial recognition system,
- Quality of life which connect with Perception,
- Affective computing, Cognitive science, Physiological computing and Positive and Negative Syndrome Scale most often made with reference to Social relation,
- Quality of life that intertwine with fields like Social cognitive theory, Mental health, Applied psychology and Affect.
Antonio Fernández-Caballero has included themes like Wireless and Nonlinear system, Nonlinear methods in his Electroencephalography study.
Between 2018 and 2021, his most popular works were:
- Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications (23 citations)
- A Review on Nonlinear Methods Using Electroencephalographic Recordings for Emotion Recognition (21 citations)
- Social cognition remediation interventions: A systematic mapping review. (16 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Machine learning
Antonio Fernández-Caballero mostly deals with Artificial intelligence, Electroencephalography, Clinical psychology, Pattern recognition and Social cognition.
Antonio Fernández-Caballero has researched Artificial intelligence in several fields, including Data science, Computer vision and Big data.
His studies deal with areas such as Stimulus, Emotion recognition, Speech recognition and Nonlinear system, Nonlinear methods as well as Electroencephalography.
His work on Mood induction as part of his general Clinical psychology study is frequently connected to PsycINFO, Psychological intervention and Wellness promotion, thereby bridging the divide between different branches of science.
His Pattern recognition research is multidisciplinary, relying on both Distress and Identification.
The concepts of his Social cognition study are interwoven with issues in Domain, Affect and Quality of life.
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