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Matthias Wölfel, Mehrnoush Barani Shirzad, Andreas Reich and Katharina Anderer
The emergence of generative language models (GLMs), such as OpenAI?s ChatGPT, is changing the way we communicate with computers and has a major impact on the educational landscape. While GLMs have great potential to support education, their use is not un...
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Kevin Mallinger and Ricardo Baeza-Yates
The continuous fusion of artificial intelligence (AI) and autonomous farming machinery (e.g., drones and field robots) provides a significant shift in the daily work experience of farmers. Faced with new technological developments, many risks and opportu...
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Georg Gartner, Olesia Ignateva, Bibigul Zhunis and Johanna Pühringer
Maps are the culmination of numerous choices, with many offering multiple alternatives. Not all of these choices are inherently guided by default, clarity, or universally accepted best practices, guidelines, or recommendations. In the realm of cartograph...
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Qiang Liu, Rui Han and Yang Li
Idle bandwidth resources are inefficiently distributed among different users. Currently, the utilization of user bandwidth resources mostly relies on traditional IP networks, implementing relevant techniques at the application layer, which creates scalab...
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Andra Sandu, Ioana Ioana?, Camelia Delcea, Laura-Madalina Geanta and Liviu-Adrian Cotfas
The proliferation of misinformation presents a significant challenge in today?s information landscape, impacting various aspects of society. While misinformation is often confused with terms like disinformation and fake news, it is crucial to distinguish...
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Dario Guidotti, Laura Pandolfo and Luca Pulina
Interest in machine learning and neural networks has increased significantly in recent years. However, their applications are limited in safety-critical domains due to the lack of formal guarantees on their reliability and behavior. This paper shows rece...
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Laurent Risser, Agustin Martin Picard, Lucas Hervier and Jean-Michel Loubes
The problem of algorithmic bias in machine learning has recently gained a lot of attention due to its potentially strong impact on our societies. In much the same manner, algorithmic biases can alter industrial and safety-critical machine learning applic...
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Cesar G. Pachon, Diego Renza and Dora Ballesteros
One of the strategies adopted to compress CNN models for image classification tasks is pruning, where some elements, channels or filters of the network are discarded. Typically, pruning methods present results in terms of model performance before and aft...
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Sabina Szymoniak, Filip Depta, Lukasz Karbowiak and Mariusz Kubanek
Artificial Intelligence is an indispensable element of the modern world, constantly evolving and contributing to the emergence of new technologies. We meet it in everyday applications, primarily using intelligent systems that aim to improve our lives. Ar...
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Zeyuan Zhao, Ping Li, Yongjie Dai, Zhaoe Min and Lei Chen
Alzheimer?s disease (AD) is an irreversible neurodegenerative disease. Providing trustworthy AD progression predictions for at-risk individuals contributes to early identification of AD patients and holds significant value in discovering effective treatm...
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