Zobrazeno 1 - 10
of 22 253
pro vyhledávání: '"Geißler, A."'
Autor:
Vomhoff, Viktoria, Jang, Hyunseok Daniel, Varvello, Matteo, Geißler, Stefan, Zaki, Yasir, Hoßfeld, Tobias, Lutu, Andra
Traditional cellular service was designed for global connectivity, but business and logistical constraints led to its fragmentation, with deployments limited to individual countries and regions. Initiatives like Mobile Virtual Network Operators (MVNO
Externí odkaz:
http://arxiv.org/abs/2411.19706
Autor:
Labarta, Tobias, Kulicheva, Elizaveta, Froelian, Ronja, Geißler, Christian, Melman, Xenia, von Klitzing, Julian
Publikováno v:
Longo, L., Lapuschkin, S., Seifert, C. (eds) Explainable Artificial Intelligence. xAI 2024. Communications in Computer and Information Science, vol 2156
Explainable Artificial Intelligence (XAI) is essential for building advanced machine learning-powered applications, especially in critical domains such as medical diagnostics or autonomous driving. Legal, business, and ethical requirements motivate u
Externí odkaz:
http://arxiv.org/abs/2410.11896
Autor:
Bashardoust, Amirsiavosh, Feng, Yuanjun, Geissler, Dominique, Feuerriegel, Stefan, Shrestha, Yash Raj
Large language models (LLMs) are increasingly used in daily work. In this paper, we analyze whether training in prompt engineering can improve the interactions of users with LLMs. For this, we conducted a field experiment where we asked journalists t
Externí odkaz:
http://arxiv.org/abs/2409.12320
Autor:
Bello, Hymalai, Geißler, Daniel, Ray, Lala, Müller-Divéky, Stefan, Müller, Peter, Kittrell, Shannon, Liu, Mengxi, Zhou, Bo, Lukowicz, Paul
Artificial Intelligence (AI) methods are powerful tools for various domains, including critical fields such as avionics, where certification is required to achieve and maintain an acceptable level of safety. General solutions for safety-critical syst
Externí odkaz:
http://arxiv.org/abs/2409.08666
Smaller machine learning models, with less complex architectures and sensor inputs, can benefit wearable sensor-based human activity recognition (HAR) systems in many ways, from complexity and cost to battery life. In the specific case of smart facto
Externí odkaz:
http://arxiv.org/abs/2408.14146
Autor:
Jha, Debesh, Tomar, Nikhil Kumar, Sharma, Vanshali, Trinh, Quoc-Huy, Biswas, Koushik, Pan, Hongyi, Jha, Ritika K., Durak, Gorkem, Hann, Alexander, Varkey, Jonas, Dao, Hang Viet, Van Dao, Long, Nguyen, Binh Phuc, Pham, Khanh Cong, Tran, Quang Trung, Papachrysos, Nikolaos, Rieders, Brandon, Schmidt, Peter Thelin, Geissler, Enrik, Berzin, Tyler, Halvorsen, Pål, Riegler, Michael A., de Lange, Thomas, Bagci, Ulas
Colonoscopy is the primary method for examination, detection, and removal of polyps. Regular screening helps detect and prevent colorectal cancer at an early curable stage. However, challenges such as variation among the endoscopists' skills, bowel q
Externí odkaz:
http://arxiv.org/abs/2409.00045
Despite the widespread integration of ambient light sensors (ALS) in smart devices commonly used for screen brightness adaptation, their application in human activity recognition (HAR), primarily through body-worn ALS, is largely unexplored. In this
Externí odkaz:
http://arxiv.org/abs/2408.09527
Large Language Models (LLMs) have made significant advances in natural language processing, but their underlying mechanisms are often misunderstood. Despite exhibiting coherent answers and apparent reasoning behaviors, LLMs rely on statistical patter
Externí odkaz:
http://arxiv.org/abs/2408.01168
Autor:
Geissler, Daniel, Lukowicz, Paul
Hybrid intelligence aims to enhance decision-making, problem-solving, and overall system performance by combining the strengths of both, human cognitive abilities and artificial intelligence. With the rise of Large Language Models (LLM), progressivel
Externí odkaz:
http://arxiv.org/abs/2407.10580
In this work, we explore the use of a novel neural network architecture, the Kolmogorov-Arnold Networks (KANs) as feature extractors for sensor-based (specifically IMU) Human Activity Recognition (HAR). Where conventional networks perform a parameter
Externí odkaz:
http://arxiv.org/abs/2406.11914