Zobrazeno 1 - 10
of 20 399
pro vyhledávání: '"Verhoef, A"'
Bacterial colonies can form a wide variety of shapes and structures based on ambient and internal conditions. To help understand the mechanisms that determine the structure of and the diversity within these colonies, various numerical modeling techni
Externí odkaz:
http://arxiv.org/abs/2412.17604
Human languages have evolved to be structured through repeated language learning and use. These processes introduce biases that operate during language acquisition and shape linguistic systems toward communicative efficiency. In this paper, we invest
Externí odkaz:
http://arxiv.org/abs/2412.07646
Quantization-aware training (QAT) schemes have been shown to achieve near-full precision accuracy. They accomplish this by training a quantized model for multiple epochs. This is computationally expensive, mainly because of the full precision backwar
Externí odkaz:
http://arxiv.org/abs/2411.11038
Autor:
Spaanderman, Douwe J., Marzetti, Matthew, Wan, Xinyi, Scarsbrook, Andrew F., Robinson, Philip, Oei, Edwin H. G., Visser, Jacob J., Hemke, Robert, van Langevelde, Kirsten, Hanff, David F., van Leenders, Geert J. L. H., Verhoef, Cornelis, Gruühagen, Dirk J., Niessen, Wiro J., Klein, Stefan, Starmans, Martijn P. A.
Soft-tissue and bone tumours (STBT) are rare, diagnostically challenging lesions with variable clinical behaviours and treatment approaches. This systematic review provides an overview of Artificial Intelligence (AI) methods using radiological imagin
Externí odkaz:
http://arxiv.org/abs/2408.12491
Humans have clear cross-modal preferences when matching certain novel words to visual shapes. Evidence suggests that these preferences play a prominent role in our linguistic processing, language learning, and the origins of signal-meaning mappings.
Externí odkaz:
http://arxiv.org/abs/2407.17974
Natural language has the universal properties of being compositional and grounded in reality. The emergence of linguistic properties is often investigated through simulations of emergent communication in referential games. However, these experiments
Externí odkaz:
http://arxiv.org/abs/2407.17960
Recent advances in computational linguistics include simulating the emergence of human-like languages with interacting neural network agents, starting from sets of random symbols. The recently introduced NeLLCom framework (Lian et al., 2023) allows a
Externí odkaz:
http://arxiv.org/abs/2407.13999
Autor:
Raaijmakers, Stephan, Bakker, Roos, Cremers, Anita, de Kleijn, Roy, Kouwenhoven, Tom, Verhoef, Tessa
Conversational AI systems that rely on Large Language Models, like Transformers, have difficulty interweaving external data (like facts) with the language they generate. Vanilla Transformer architectures are not designed for answering factual questio
Externí odkaz:
http://arxiv.org/abs/2402.19218
Autor:
Spaanderman, Douwe J., Starmans, Martijn P. A., van Erp, Gonnie C. M., Hanff, David F., Sluijter, Judith H., Schut, Anne-Rose W., van Leenders, Geert J. L. H., Verhoef, Cornelis, Grunhagen, Dirk J., Niessen, Wiro J., Visser, Jacob J., Klein, Stefan
Publikováno v:
Eur Radiol (2024)
Segmentations are crucial in medical imaging to obtain morphological, volumetric, and radiomics biomarkers. Manual segmentation is accurate but not feasible in the radiologist's clinical workflow, while automatic segmentation generally obtains sub-pa
Externí odkaz:
http://arxiv.org/abs/2402.07746
Autor:
Verhoef, Bart J., Lu, Xixi
Previous studies have used prescriptive process monitoring to find actionable policies in business processes and conducted case studies in similar domains, such as the loan application process and the traffic fine process. However, care processes ten
Externí odkaz:
http://arxiv.org/abs/2310.00981