International Journal of Neural Systems This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.

Decoupled Edge Guidance Network for Automatic Checkout
Int J Neural Syst. 2023 Aug 10:2350049. doi: 10.1142/S0129065723500491. Online ahead of print.ABSTRACTAutomatic checkout (ACO) aims at correctly generating complete shopping lists from checkout images. However, the domain gap between the single product in training data and multiple products in checkout images endows ACO tasks with a major difficulty. Despite remarkable advancements in recent years, resolving the significant domain gap remains challenging. It is possibly because networks trained solely on synthesized images may struggle to generalize well to realistic checkout scenarios. To this end, we propose a decoupled ...
Source: International Journal of Neural Systems - August 11, 2023 Category: Neurology Authors: Rongbiao You Fuxiong He Weiming Lin Source Type: research

Localization of Epileptic Brain Responses to Single-Pulse Electrical Stimulation by Developing an Adaptive Iterative Linearly Constrained Minimum Variance Beamformer
Int J Neural Syst. 2023 Aug 9:2350050. doi: 10.1142/S0129065723500508. Online ahead of print.ABSTRACTDelayed responses (DRs) to single pulse electrical stimulation (SPES) in patients with severe refractory epilepsy, from their intracranial recordings, can help to identify regions associated with epileptogenicity. Automatic DR localization is a large step in speeding up the identification of epileptogenic focus. Here, for the first time, an adaptive iterative linearly constrained minimum variance beamformer (AI-LCMV) is developed and employed to localize the DR sources from intracranial electroencephalogram (EEG) recorded u...
Source: International Journal of Neural Systems - August 11, 2023 Category: Neurology Authors: Sepehr Shirani Antonio Valentin Bahman Abdi-Sargezeh Gonzalo Alarcon Saeid Sanei Source Type: research

Few-Shot Pixel-Precise Document Layout Segmentation via Dynamic Instance Generation and Local Thresholding
Int J Neural Syst. 2023 Aug 10:2350052. doi: 10.1142/S0129065723500521. Online ahead of print.ABSTRACTOver the years, the humanities community has increasingly requested the creation of artificial intelligence frameworks to help the study of cultural heritage. Document Layout segmentation, which aims at identifying the different structural components of a document page, is a particularly interesting task connected to this trend, specifically when it comes to handwritten texts. While there are many effective approaches to this problem, they all rely on large amounts of data for the training of the underlying models, which i...
Source: International Journal of Neural Systems - August 11, 2023 Category: Neurology Authors: Axel De Nardin Silvia Zottin Claudio Piciarelli Emanuela Colombi Gian Luca Foresti Source Type: research