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pro vyhledávání: '"Odry P"'
Autor:
Hansen, Colin, Glinskis, Simas, Raju, Ashwin, Kornreich, Micha, Park, JinHyeong, Pawar, Jayashri, Herzog, Richard, Zhang, Li, Odry, Benjamin
Data driven models for automated diagnosis in radiology suffer from insufficient and imbalanced datasets due to low representation of pathology in a population and the cost of expert annotations. Datasets can be bolstered through data augmentation. H
Externí odkaz:
http://arxiv.org/abs/2406.02477
Autor:
Lu, Po-Jui, Odry, Benjamin, Barakovic, Muhamed, Weigel, Matthias, Sandkühler, Robin, Rahmanzadeh, Reza, Chen, Xinjie, Ocampo-Pineda, Mario, Kuhle, Jens, Kappos, Ludwig, Cattin, Philippe, Granziera, Cristina
Objective: Identifying disability-related brain changes is important for multiple sclerosis (MS) patients. Currently, there is no clear understanding about which pathological features drive disability in single MS patients. In this work, we propose a
Externí odkaz:
http://arxiv.org/abs/2308.07611
Publikováno v:
Analecta, Vol 18, Iss 2, Pp 22-29 (2024)
The goal of the indoor localization is to determine the position and orientation of people, devices, and mobile robots. With the rise of Industry 4.0, wireless communication technologies have emerged as a rapidly evolving and crucial area for achievi
Externí odkaz:
https://doaj.org/article/043c8e1aa2ff4047940dba44aa8d21c2
Publikováno v:
Analecta, Vol 18, Iss 2, Pp 30-37 (2024)
This paper addresses accelerometer array calibration, focusing on determining the errors between multiple sensors. Micro-electromechanical system (MEMS) based triaxial accelerometers, key components of Inertial Measurement Units (IMUs), are used in l
Externí odkaz:
https://doaj.org/article/b0ca31ba2c8a41cea59599cbd6776947
This paper proposes a novel observer-based controller for Vertical Take-Off and Landing (VTOL) Unmanned Aerial Vehicle (UAV) designed to directly receive measurements from a Vision-Aided Inertial Navigation System (VA-INS) and produce the required th
Externí odkaz:
http://arxiv.org/abs/2212.14632
Autor:
Zoltan Vizvari, Nina Gyorfi, Gergo Maczko, Reka Varga, Rita Jakabfi-Csepregi, Zoltan Sari, Andras Furedi, Eszter Bajtai, Flora Vajda, Vladimir Tadic, Peter Odry, Zoltan Karadi, Attila Toth
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Bioimpedance spectrum (BIS) measurements have a great future in in vitro experiments, meeting all the requirements for non-destructive and label-free methods. Nevertheless, a real basic research can provide the necessary milestones to achiev
Externí odkaz:
https://doaj.org/article/c6514985d34f47b78cba0e4f006ef862
Large pretrained Transformer-based language models like BERT and GPT have changed the landscape of Natural Language Processing (NLP). However, fine tuning such models still requires a large number of training examples for each target task, thus annot
Externí odkaz:
http://arxiv.org/abs/2210.13979
Autor:
Sehanobish, Arijit, Sandora, McCullen, Abraham, Nabila, Pawar, Jayashri, Torres, Danielle, Das, Anasuya, Becker, Murray, Herzog, Richard, Odry, Benjamin, Vianu, Ron
Pretrained Transformer based models finetuned on domain specific corpora have changed the landscape of NLP. However, training or fine-tuning these models for individual tasks can be time consuming and resource intensive. Thus, a lot of current resear
Externí odkaz:
http://arxiv.org/abs/2205.02979
Autor:
Sehanobish, Arijit, Brown, Nathaniel, Daga, Ishita, Pawar, Jayashri, Torres, Danielle, Das, Anasuya, Becker, Murray, Herzog, Richard, Odry, Benjamin, Vianu, Ron
Pretrained Transformer based models finetuned on domain specific corpora have changed the landscape of NLP. Generally, if one has multiple tasks on a given dataset, one may finetune different models or use task specific adapters. In this work, we sho
Externí odkaz:
http://arxiv.org/abs/2204.04544
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