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Applied Computational Intelligence Group

Bioinformatics Cluj-Napoca Computational Linguistics Data Mining Medical data mining Natural Language Processing Text mining

The Applied Computational Intelligence Group within the Babeș-Bolyai University is lead by Prof. Horia Pop, Ph.D. The group's research interests focus on Intelligent Data Analysis Methods, Formal Concept Analysis, Bioinformatics, Computational Linguistics, Medical Data Mining, Search-based Software Engineering and using Machine Learning techniques in Software Engineering.

 

The Image Processing and Pattern Recognition Group

Cluj-Napoca Computer Vision and Image Processing Data Mining Medical data mining Object detection, classification and tracking

The Image Processing and Pattern Recognition Group, lead by Prof. Eng. Sergiu Nedevschi, Ph.D., is part of the Computer Science Department at the Technical University of Cluj-Napoca. Our main activities are research and teaching in the fields of image processing, pattern recognition, computer vision, hardware design for image acquisition and processing. We have reached state-of-the-art…

 
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Knowledge Engineering Group

Classification Cluj-Napoca Data Mining Information retrieval Knowledge Representation and Reasoning Machine Learning Medical data mining Natural Language Processing Social Network Analysis Text mining

The Knowledge Engineering Group (KEG), lead by Prof. Rodica Potolea, PhD, is addressing problems for knowledge extraction, representation, storage and management that the information era has brought in various segments of human activity due to data overload.

The main fundamental theoretical aspects our group focuses on are: dealing with problem-specific features extraction from both structured data, pre-processing techniques for handling noisy and/or incomplete data, learning from balanced/unbalanced and structured/unstructured data.

 
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