Zobrazeno 1 - 10
of 4 434
pro vyhledávání: '"Farrugia P"'
Passive acoustic monitoring (PAM) is crucial for bioacoustic research, enabling non-invasive species tracking and biodiversity monitoring. Citizen science platforms like Xeno-Canto provide large annotated datasets from focal recordings, where the tar
Externí odkaz:
http://arxiv.org/abs/2409.08589
Autor:
Farrugia, Noel, Bonanno, Daniel, Frendo, Nicholas, Xuereb, André, Kosmatos, Evangelos, Stavdas, Alexandros, Russo, Marco, Montrucchio, Bartolomeo, Menchetti, Marco, Bacco, Davide, Marigonda, Silvia, Stocco, Francesco, Morgari, Guglielmo, Manzalini, Antonio
There is mounting evidence that a second quantum revolution based on the technological capabilities to detect and manipulate single quantum particles (e.g., electrons, photons, ions, etc), a feat not achieved during the first quantum revolution, is p
Externí odkaz:
http://arxiv.org/abs/2408.15027
Compact stars have long served as a test bed of gravitational models and their coupling with stellar matter. In this work, we explore the behavior of an exponential model in f(T) gravity through the Tolman-Oppenheimer-Volkoff equation. This is perfor
Externí odkaz:
http://arxiv.org/abs/2406.05771
Autor:
Ribezzo, Domenico, Salazar, Roberto, Czartowski, Jakub, Segur, Flora, Lemmi, Gianmarco, Petitjean, Antoine, Farrugia, Noel, Xuereb, André, Bacco, Davide, Zavatta, Alessandro
Publikováno v:
Advanced Quantum Technologies (2023): 2300162
In a world where Quantum Networks are rapidly becoming a reality, the development of the Quantum Internet is gaining increasing interest. Nevertheless, modern quantum networks are still in the early stages of development and have limited capacity to
Externí odkaz:
http://arxiv.org/abs/2403.19000
In the context of Brain-Computer Interfaces, we propose an adaptive method that reaches offline performance level while being usable online without requiring supervision. Interestingly, our method does not require retraining the model, as it consists
Externí odkaz:
http://arxiv.org/abs/2403.15438
Scalar-tensor theories have taken on a key role in attempts to confront the growing open questions in standard cosmology. It is important to understand entirely their dynamics at perturbative level including any possible spatial dependence in their g
Externí odkaz:
http://arxiv.org/abs/2403.10240
Multi-label imbalanced classification poses a significant challenge in machine learning, particularly evident in bioacoustics where animal sounds often co-occur, and certain sounds are much less frequent than others. This paper focuses on the specifi
Externí odkaz:
http://arxiv.org/abs/2403.09598
Autor:
Hoogland, Jesse, Wang, George, Farrugia-Roberts, Matthew, Carroll, Liam, Wei, Susan, Murfet, Daniel
We show that in-context learning emerges in transformers in discrete developmental stages, when they are trained on either language modeling or linear regression tasks. We introduce two methods for detecting the milestones that separate these stages,
Externí odkaz:
http://arxiv.org/abs/2402.02364
Self-supervised learning (SSL) in audio holds significant potential across various domains, particularly in situations where abundant, unlabeled data is readily available at no cost. This is pertinent in bioacoustics, where biologists routinely colle
Externí odkaz:
http://arxiv.org/abs/2312.15824
Wind speed at sea surface is a key quantity for a variety of scientific applications and human activities. Due to the non-linearity of the phenomenon, a complete description of such variable is made infeasible on both the small scale and large spatia
Externí odkaz:
http://arxiv.org/abs/2312.08933