DCLab – Data Science and Content Technologies Laboratory

Research keywords: · data science · computer vision · image processing · deep learning · Artificial Intelligence

Horizon Europe keywords: · Artificial Intelligence and Robotics · Cloud and edge technologies · Health technologies, new tools and solutions · Next generation computing and data technologies · Next Generation Internet · Space-based infrastructures and services

Faculty of Electrical Engineering and Informatics Department of Telecommunications and Media Informatics

Dr. Gábor Szűcs

Associate Professor

Introduction of the Research Group

The group deals with modern methods of data mining, information retrieval, natural language processing, machine learning, image and video processing. These belong to the fields of artificial intelligence and data science, within which the research focuses on computer vision, neural networks, deep learning, active learning. In addition to research, the group also plays a significant role in education, as responsible for Specialization of Data Science and Media Informatics in the MSc Computer Engineering, Specialization of Analytical Business Intelligence in the MSc Business Informatics, and Data-Based Systems Specialization in BProf Computer Engineering.

Achievements Publications Awards Journals Projects Industry relations Conferences Other

Achievements

-Active learning in image classification, Few-shot learning in X-ray image analysis,
-Character recognition (digit recognition) in extreme conditions,
-Spectral clustering on multimedia datasets, Recognition of plants in images by deep learning, Balanced active learning, Machine learning in an open set.
-1st place in the SnakeCLEF 2021 International Image Classification Competition organized by ImageCLEF / LifeCLEF

Publications

N/A

Awards

ÚNKP - Dávid Papp

Journals

Acta Cybernetica;
Cybernetics and Information Technologies;
Electronic Letters on Computer Vision and Image Analysis (ELCVIA);
Infocommunications Journal;
Informatica (Lithuania);
Journal of Computing and Information Technology (CIT);
Journal of Experimental & Theoretical Artificial Intelligence

Projects

2019, Posta, OCR on amorphous shipments;
2020, Tigáz, OCR and image processing

Industry relations

Posta;
Tigáz;
Magyar közút

Conferences

Conference and Labs of the Evaluation Forum (CLEF);
IEEE International Conference on Cognitive Infocommunications – CogInfoCom;
IEEE International Symposium on Intelligent Systems and Informatics (SISY);
European Conference on Advances in Databases and Information Systems (ADBIS);
Képfeldolgozók és Alakfelismerők Társaságának konferenciája (KÉPAF)

Other activities

Gábor Szűcs: Artificial Intelligence and Deep Learning, October 2020, HTE event; Gábor Szűcs, Chairman of the Artificial Intelligence Department of HTE