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Eötvös Loránd University

www.elte.hu
Széchenyi Plusz RRF
About our partner

Eötvös Loránd University (ELTE, Budapest) is the largest and most prestigious university in Hungary. ELTE participates in the work of MILAB with two Faculties, the Faculty of Informatics and the Faculty of Science. ELTE has been a member of Hungarian AI Coalition from its inception.

ELTE is involved in the mathematical foundations and applications of AI through the AI Research Group, Institute of Mathematics, Faculty of Science algorithmic and architectural development of deep networks in basic and applied research, including state-of-the-art results on different benchmark problems through the Department of Physics of Complex Systems, Faculty of Science, and Faculty of Informatics and its Department of Artificial Intelligence is involved in the R+D+I of human-machine interaction including Cyber-Physical Systems, remote monitoring, diagnosis, therapy, and rehabilitation in in autism, depression, PTSD, and motion correction. Close collaborations with the Department of Software Technology and Methodology, e.g., in the field of edge computing and also in natural language processing are organized for high quality developments. Ethical and legal aspects are tackled in collaboration with the Faculty of Law of ELTE.

Selected international projects

  • 2020-2023 HumanE-AI-Net - HumanE AI Network, EU H2020 ICT-48 project
  • 2018-2021 AI4EU - A European AI On Demand Platform and Ecosystem, EU H2020 ICT project
  • 2020-2024 Versatile Emerging infectious disease Observatory - H2020-EU.3.1.2. project
  • Ethical and Trustworthy Artificial and Machine Intelligence (etami), VOLKSWAGEN Aktiengesellschaft, 2020

 

 

Researchers

István Csabai

Researcher
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Kampis György

Researcher
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Lörincz András

Researcher
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Lukács András

Researcher
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Péter Simon

Researcher
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Patrick van der Smagt

Researcher
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Pintér Balázs

Researcher
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Publications

Hierarchy and control of ageing-related methylation networks

Gergely Palla
Péter Pollner
Judit Börcsök
András Major
Béla Molnár
István Csabai
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Deep learning identification for citizen science surveillance of tiger mosquitoes

Bálint Armin Pataki
Joan Garriga
Roger Eritja
John R. B. Palmer
Frederic Bartumeus
István Csabai
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Deep learning identification for citizen science surveillance of tiger mosquitoes

Bálint Armin Pataki
Joan Garriga
Roger Eritja
John R. B. Palmer
Frederic Bartumeus
István Csabai
Read more
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Research fields

  • Foundations of AI
  • Human Language Processing
  • Machine perception
  • Medical, Health and Biology
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  • Sensors, IoT and Telecommunications

Contact us

Hungary, H-1111 Budapest,
Kende u. 13-17.
+36 1 279 6000
@email

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