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The progress towards intelligent systems and digitalization relies heavily on the use of automation technology. However, the growing diversity of control objects presents significant challenges for traditional control approaches, as they are highly depende ...
Intelligence involves processing sensory experiences into representations useful for prediction. Understanding sensory experiences and building these contextual representations without prior knowledge of sensor models and environment is a challenging unsup ...
In this article, I focus on digital scientific archives which are made up of the leftovers of science, such as drafts, obsolete instruments, photographs, documentation, etc. The artifacts exhibited in such collections were neither meant to be representatio ...
Large training datasets have played a vital role in the success of modern deep learning methods in computer vision. But, obtaining sufficient amount of training data is challenging, specially when annotating volumetric images. This is because fully annotat ...
Computational thinking (CT) skills are becoming increasingly relevant for future professionals across all domains, beyond computer science (CS). As such, an increasing number of bachelor and masters programs outside of the computer science discipline integ ...
Due to the growing pressure of digitization and open access demands, cultural institutions are increasingly presenting their collections in digital space. Dealing with this constantly growing amount of data poses a major challenge, especially with regard t ...
Audiovisual archives are the mnemonic archives of the 21st century, with important cultural institutions increasingly digitizing their video collections. However, these remain mostly inaccessible, due to the sheer amount of content combined with the lack o ...
Model-free Reinforcement Learning (RL) generally suffers from poor sample complexity, mostly due to the need to exhaustively explore the state-action space to find well-performing policies. On the other hand, we postulate that expert knowledge of the syste ...
Cough audio signal classification is a potentially useful tool in screening for respiratory disorders, such as COVID-19. Since it is dangerous to collect data from patients with such contagious diseases, many research teams have turned to crowdsourcing to ...
Digitization has been recognized as effective means to safeguard cultural heritage,simultaneously producing a significant body of data resources within the GLAM sector. Digital curatorial innovations in the museums have created tools to enhance accessibili ...