Author(s): Borra D; Paissan F; Ravanelli M;
Deep learning has revolutionized EEG decoding, showcasing its ability to outperform traditional machine learning models. However, unlike other fields, EEG decoding lacks comprehensive open-source libraries dedicated to neural networks. Existing tools (MOABB ...
Article GUID: 39265481
Author(s): Ma C; Neri F; Gu L; Wang Z; Wang J; Qing A; Wang Y;
Machine learning algorithms are commonly used for quickly and efficiently counting people from a crowd. Test-time adaptation methods for crowd counting adjust model parameters and employ additional data augmentation to better adapt the model to the specific ...
Article GUID: 39252679
Author(s): Boucher AJ; Weladji RB; Holand Ø; Kumpula J;
For decades, researchers have employed sound to study the biology of wildlife, with the aim to better understand their ecology and behaviour. By utilizing on-animal recorders to capture audio from freely moving animals, scientists can decipher the vocalizat ...
Article GUID: 38932958
Author(s): Qi Y; Vianna P; Cadrin-Chênevert A; Blanchet K; Montagnon E; Belilovsky E; Wolf G; Mullie LA; Cloutier G; Chassé M; Tang A; ...
We aimed to implement four data partitioning strategies evaluated with four federated learning (FL) algorithms and investigate the impact of data distribution on FL model performance in detecting s ...
Article GUID: 38858500
Author(s): van den Bos W; Bruckner R; Nassar MR; Mata R; Eppinger B;
In recent years, the application of computational modeling in studies on age-related changes in decision making and learning has gained in popularity. One advantage of computational models is that they provide access to latent variables that cannot be direc ...
Article GUID: 29066078
Author(s): Rodriguez Buritica JM; Heekeren HR; Li SC; Eppinger B;
Learning from vicarious experience is central for educational practice, but not well understood with respect to its ontogenetic development and underlying neural dynamics. In this age-comparative study we compared behavioral and electrophysiological markers ...
Article GUID: 30036542
Author(s): Ghazikhani H; Butler G;
This study introduces TooT-PLM-ionCT, a comprehensive framework that consolidates three distinct systems, each meticulously tailored for one of the following tasks: distinguishing ion channels (ICs) from membrane proteins (MPs), segregating ion transporters ...
Article GUID: 38656743
Author(s): Paul S; Patterson Z; Bouguila N;
The application of large field-of-view (FoV) cameras equipped with fish-eye lenses brings notable advantages to various real-world computer vision applications, including autonomous driving. While deep learning has proven successful in conventional computer ...
Article GUID: 38535151
Author(s): W Spencer Murch
The post-reinforcement pause (PRP) is an operant effect in which response latencies increase on trials following the receipt and consumption of reward. Human studies demonstrate analogous effects in electronic gambling machines that utilise random ratio rei ...
Article GUID: 38429228
Author(s): Aktar M; Xiao Y; Tehrani AKZ; Tampieri D; Rivaz H; Kersten-Oertel M;
This study conducts collateral evaluation from ischemic damage using a deep learning-based Siamese network, addressing the challenges associated with a small and imbalanced dataset. The collateral network provides an alternative oxygen and nutrient supply p ...
Article GUID: 38364600
Author(s): Joly-Chevrier M; Nguyen AX; Liang L; Lesko-Krleza M; Lefrançois P;
Background: Artificial intelligence (AI) in skin cancer is a promising research field to assist physicians and to provide support to patients remotely. Physicians' awareness to new developments in AI research is important to define the best practices an ...
Article GUID: 38323537
- Page 1 / 9 >