2023 - Research.com Computer Science in Greece Leader Award
2022 - Research.com Computer Science in Greece Leader Award
His scientific interests lie mostly in Artificial intelligence, Computer vision, Pattern recognition, Digital watermarking and Image processing. He combines topics linked to Algorithm with his work on Artificial intelligence. His biological study spans a wide range of topics, including Matrix decomposition and Facial expression.
His Digital watermarking research is multidisciplinary, incorporating elements of Transform coding and Computer security. His study on Image processing also encompasses disciplines like
Ioannis Pitas mainly investigates Artificial intelligence, Computer vision, Pattern recognition, Algorithm and Facial recognition system. His Artificial intelligence study frequently links to other fields, such as Machine learning. Digital watermarking, Video tracking, Face, Image segmentation and Watermark are among the areas of Computer vision where the researcher is concentrating his efforts.
He interconnects Chaotic, Theoretical computer science and Robustness in the investigation of issues within Digital watermarking. His study in Pattern recognition is interdisciplinary in nature, drawing from both Contextual image classification, Facial expression and Cluster analysis. His Algorithm research incorporates themes from Digital filter, Filter and Signal processing.
Ioannis Pitas focuses on Artificial intelligence, Pattern recognition, Computer vision, Machine learning and Cluster analysis. His research in Facial recognition system, Extreme learning machine, Video tracking, Support vector machine and Stereoscopy are components of Artificial intelligence. Ioannis Pitas studied Pattern recognition and Subspace topology that intersect with Graph embedding and Projection.
His studies examine the connections between Computer vision and genetics, as well as such issues in Visualization, with regards to Feature extraction. His Machine learning research includes themes of Representation and Training set. He combines subjects such as Segmentation and Automatic summarization with his study of Cluster analysis.
His primary scientific interests are in Artificial intelligence, Pattern recognition, Machine learning, Computer vision and Extreme learning machine. His Feature vector, Training set, Video tracking, Representation and Cluster analysis investigations are all subjects of Artificial intelligence research. His work on Subspace topology expands to the thematically related Pattern recognition.
Ioannis Pitas works mostly in the field of Machine learning, limiting it down to topics relating to Process and, in certain cases, Classifier, Sigmoid function and Hyperplane, as a part of the same area of interest. His Computer vision study often links to related topics such as Cinematography. His research in Extreme learning machine intersects with topics in Contextual image classification, Regularization and Feedforward neural network.
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Nonlinear Digital Filters : Principles and Applications
I. Pitas;A. N. Venetsanopoulos.
Digital Image Processing Algorithms and Applications
Nonlinear Digital Filters
I. Pitas;A. N. Venetsanopoulos.
Robust audio watermarking in the time domain
P. Bassia;I. Pitas;N. Nikolaidis.
IEEE Transactions on Multimedia (2001)
Robust image watermarking in the spatial domain
N. Nikolaidis;I. Pitas.
Signal Processing (1998)
Facial Expression Recognition in Image Sequences Using Geometric Deformation Features and Support Vector Machines
I. Kotsia;I. Pitas.
IEEE Transactions on Image Processing (2007)
Digital Image Processing Algorithms
Order statistics in digital image processing
I. Pitas;A.N. Venetsanopoulos.
Proceedings of the IEEE (1992)
The eNTERFACE’05 Audio-Visual Emotion Database
O. Martin;I. Kotsia;B. Macq;I. Pitas.
international conference on data engineering (2006)
A method for signature casting on digital images
international conference on image processing (1996)
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