Conveners
Artificial Intelligence: Theoretical Foundation of AI and Practical Examples
- László Kónya (Managing Director, Deutsche Telekom IT Solutions, Hungary)
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Hojjat ADELLI (Ohio State University, USA)21/04/2022, 09:00
Machine learning (ML) is a key and increasingly pervasive technology in the 21st century. It is going to impact the way people live and work in a significant way. This lecture starts with an overview of the key ML concepts and different types of ML algorithms. In general, machine learning algorithms simulate the way brain learns and solves an estimation/recognition problem. They usually...
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Joao GAMA (University of Porto, Porto Portugal)21/04/2022, 09:20
Social networks are live entities that exhibit dynamic behaviour over time. Phone calls, emails, SMS, etc., define implicit, huge, and high-speed networks. In this talk, we described our work in analysing evolving networks. We present a method that tries to understand the trajectories of communities and explain the trajectory in terms of the topology of the evolving network.
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Timon RABCZUK (The Institute of Structural Mechanics at Bauhaus University, Weimar, Germany)21/04/2022, 09:40
Partial Differential Equations (PDEs) are fundamental to model different phenomena in science and engineering mathematically. Solving them is a crucial step towards a precise knowledge of the behavior of natural and engineered systems. In order to solve PDEs that represent real systems to an acceptable degree, analytical methods and conventional engineering skills are usually not enough. One...
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Prof. Amir H. GANDOMI (Faculty of Engineering & Information Technology University of Technology Sydney, Australia)21/04/2022, 10:00
Evolutionary Intelligence (EI) has been widely used during the last two decades and has remained a highly-researched topic, especially for complex engineering problems. The EI techniques are a subset of artificial intelligence, but they are slightly different from the classical methods in the sense that the intelligence of EI comes from biological systems or nature in general. The efficiency...
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Amir MOSAVI (University of Public Service, Hungary), Anthony Theodore CHRONOPOULOS (Texas University, Austin, USA)21/04/2022, 10:20
The research for advancing machine learning (ML) methods and applications has significantly progressed within the past few years. ML models are established as the foundation of artificial intelligence systems and, consequently, become essential parts of our lives. ML has gained tremendous popularity in a wide range of scientific disciplines including platform economy and algorithmic management...
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