Zobrazeno 1 - 10
of 3 546
pro vyhledávání: '"Riegler P"'
Extracting meaningful insights from large and complex datasets poses significant challenges, particularly in ensuring the accuracy and relevance of retrieved information. Traditional data retrieval methods such as sequential search and index-based re
Externí odkaz:
http://arxiv.org/abs/2409.17580
Autor:
Gautam, Sushant, Storås, Andrea, Midoglu, Cise, Hicks, Steven A., Thambawita, Vajira, Halvorsen, Pål, Riegler, Michael A.
We introduce Kvasir-VQA, an extended dataset derived from the HyperKvasir and Kvasir-Instrument datasets, augmented with question-and-answer annotations to facilitate advanced machine learning tasks in Gastrointestinal (GI) diagnostics. This dataset
Externí odkaz:
http://arxiv.org/abs/2409.01437
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
Publikováno v:
JHEP 10 (2024), 049
Carrollian field theories have recently emerged as a candidate dual to flat space quantum gravity. We carefully quantize simple two-derivative Carrollian theories, revealing a strong sensitivity to the ultraviolet. They can be regulated upon being pl
Externí odkaz:
http://arxiv.org/abs/2407.11971
Missing data is a prevalent issue that can significantly impair model performance and interpretability. This paper briefly summarizes the development of the field of missing data with respect to Explainable Artificial Intelligence and experimentally
Externí odkaz:
http://arxiv.org/abs/2407.00411
Autor:
Sheshkal, Sajad Amouei, Gundersen, Morten, Riegler, Michael Alexander, Utheim, Øygunn Aass, Gundersen, Kjell Gunnar, Hammer, Hugo Lewi
Dry eye disease is a common disorder of the ocular surface, leading patients to seek eye care. Clinical signs and symptoms are currently used to diagnose dry eye disease. Metabolomics, a method for analyzing biological systems, has been found helpful
Externí odkaz:
http://arxiv.org/abs/2406.14068
Autor:
Bergmann, Philip, Riegler, Clemens, Klaschka, Zuri, Herbst, Tobias, Wolf, Jan M., Reigl, Maximilian, Koch, Niels, Menninger, Sarah, von Pichowski, Jan, Bös, Cedric, Barthó, Bence, Dunschen, Frederik, Mehringer, Johanna, Richter, Ludwig, Werner, Lennart
In recent years, interplanetary exploration has gained significant momentum, leading to a focus on the development of launch vehicles. However, the critical technology of edl mechanisms has not received the same level of attention and remains less ma
Externí odkaz:
http://arxiv.org/abs/2406.11292
Autor:
Gautam, Sushant, Sarkhoosh, Mehdi Houshmand, Held, Jan, Midoglu, Cise, Cioppa, Anthony, Giancola, Silvio, Thambawita, Vajira, Riegler, Michael A., Halvorsen, Pål, Shah, Mubarak
The application of Automatic Speech Recognition (ASR) technology in soccer offers numerous opportunities for sports analytics. Specifically, extracting audio commentaries with ASR provides valuable insights into the events of the game, and opens the
Externí odkaz:
http://arxiv.org/abs/2405.07354
Autor:
Frey, Maximilian, Neuber, Nico, Riegler, Sascha Sebastian, Cornet, Antoine, Chushkin, Yuriy, Zontone, Federico, Ruschel, Lucas, Adam, Bastian, Nabahat, Mehran, Yang, Fan, Shen, Jie, Westermeier, Fabian, Sprung, Michael, Cangialosi, Daniele, Di Lisio, Valerio, Gallino, Isabella, Busch, Ralf, Ruta, Beatrice, Pineda, Eloi
Modern detector technology and highly brilliant fourth-generation synchrotrons allow to improve the temporal resolution in time-resolved diffraction studies. Profiting from this, we applied temperature scanning X-ray photon correlation spectroscopy (
Externí odkaz:
http://arxiv.org/abs/2403.12306
Understanding sleep and activity patterns plays a crucial role in physical and mental health. This study introduces a novel approach for sleep detection using weakly supervised learning for scenarios where reliable ground truth labels are unavailable
Externí odkaz:
http://arxiv.org/abs/2402.17601