Zobrazeno 1 - 10
of 9 040
pro vyhledávání: '"NICOLAS, M."'
Autor:
Kawahala, Nicolas M., Matos, Daniel A., de Oliveira, Raphaela, Longuinhos, Raphael, Ribeiro-Soares, Jenaina, Barcelos, Ingrid D., Hernandez, Felix G. G.
Naturally occurring van der Waals (vdW) materials are currently attracting significant interest due to their potential as low-cost sources of two-dimensional materials. Valuable information on vdW materials' interlayer interactions is present in thei
Externí odkaz:
http://arxiv.org/abs/2409.18933
Generative AI has seen major developments in recent years, enhancing the realism of synthetic images, also known as computer-generated images. In addition, generative AI has also made it possible to modify specific image characteristics through image
Externí odkaz:
http://arxiv.org/abs/2409.12705
In this paper, we demonstrate that attacks in the latest ASVspoof5 dataset -- a de facto standard in the field of voice authenticity and deepfake detection -- can be identified with surprising accuracy using a small subset of very simplistic features
Externí odkaz:
http://arxiv.org/abs/2408.15775
Computer vision models are increasingly capable of classifying ovarian epithelial cancer subtypes, but they differ from pathologists by processing small tissue patches at a single resolution. Multi-resolution graph models leverage the spatial relatio
Externí odkaz:
http://arxiv.org/abs/2407.18105
Publikováno v:
Interspeech 2024
Recent research has highlighted a key issue in speech deepfake detection: models trained on one set of deepfakes perform poorly on others. The question arises: is this due to the continuously improving quality of Text-to-Speech (TTS) models, i.e., ar
Externí odkaz:
http://arxiv.org/abs/2406.03512
Autor:
Breen, Jack, Allen, Katie, Zucker, Kieran, Godson, Lucy, Orsi, Nicolas M., Ravikumar, Nishant
Large pretrained transformers are increasingly being developed as generalised foundation models which can underpin powerful task-specific artificial intelligence models. Histopathology foundation models show great promise across many tasks, but analy
Externí odkaz:
http://arxiv.org/abs/2405.09990
For classification, the problem of class imbalance is well known and has been extensively studied. In this paper, we argue that imbalance in regression is an equally important problem which has so far been overlooked: Due to under- and over-represent
Externí odkaz:
http://arxiv.org/abs/2402.11963
Autor:
Müller, Nicolas M., Kawa, Piotr, Hu, Shen, Neu, Matthias, Williams, Jennifer, Sperl, Philip, Böttinger, Konstantin
Voice faking, driven primarily by recent advances in text-to-speech (TTS) synthesis technology, poses significant societal challenges. Currently, the prevailing assumption is that unaltered human speech can be considered genuine, while fake speech co
Externí odkaz:
http://arxiv.org/abs/2402.06304
Autor:
Hivert, Florent, Thiéry, Nicolas M.
Publikováno v:
Order, 07/2022, pages 1-16
C3 is an algorithm used by several widely used programming languages such as Python to support multiple inheritance in object oriented programming (OOP): for each class, C3 computes recursively a linear extension of the poset of all its super classes
Externí odkaz:
http://arxiv.org/abs/2401.12740
Autor:
Müller, Nicolas M., Kawa, Piotr, Choong, Wei Herng, Casanova, Edresson, Gölge, Eren, Müller, Thorsten, Syga, Piotr, Sperl, Philip, Böttinger, Konstantin
Text-to-Speech (TTS) technology offers notable benefits, such as providing a voice for individuals with speech impairments, but it also facilitates the creation of audio deepfakes and spoofing attacks. AI-based detection methods can help mitigate the
Externí odkaz:
http://arxiv.org/abs/2401.09512