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.

Multi-Objective Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification
Int J Neural Syst. 2024 Feb 9:2450014. doi: 10.1142/S012906572450014X. Online ahead of print.ABSTRACTFeature selection (FS) is recognized for its role in enhancing the performance of learning algorithms, especially for high-dimensional datasets. In recent times, FS has been framed as a multi-objective optimization problem, leading to the application of various multi-objective evolutionary algorithms (MOEAs) to address it. However, the solution space expands exponentially with the dataset's dimensionality. Simultaneously, the extensive search space often results in numerous local optimal solutions due to a large proportion ...
Source: International Journal of Neural Systems - February 14, 2024 Category: Neurology Authors: Chenyi Zhang Yu Xue Ferrante Neri Xu Cai Adam Slowik Source Type: research

A Bidirectional Feedforward Neural Network Architecture Using the Discretized Neural Memory Ordinary Differential Equation
Int J Neural Syst. 2024 Feb 6:2450015. doi: 10.1142/S0129065724500151. Online ahead of print.ABSTRACTDeep Feedforward Neural Networks (FNNs) with skip connections have revolutionized various image recognition tasks. In this paper, we propose a novel architecture called bidirectional FNN (BiFNN), which utilizes skip connections to aggregate features between its forward and backward paths. The BiFNN accepts any FNN as a plugin that can incorporate any general FNN model into its forward path, introducing only a few additional parameters in the cross-path connections. The backward path is implemented as a nonparameter layer, u...
Source: International Journal of Neural Systems - February 6, 2024 Category: Neurology Authors: Hao Niu Zhang Yi Tao He Source Type: research

Automated Quality Evaluation of Large-Scale Benchmark Datasets for Vision-Language Tasks
Int J Neural Syst. 2024 Feb 6:2450009. doi: 10.1142/S0129065724500096. Online ahead of print.ABSTRACTLarge-scale benchmark datasets are crucial in advancing research within the computer science communities. They enable the development of more sophisticated AI models and serve as "golden" benchmarks for evaluating their performance. Thus, ensuring the quality of these datasets is of utmost importance for academic research and the progress of AI systems. For the emerging vision-language tasks, some datasets have been created and frequently used, such as Flickr30k, COCO, and NoCaps, which typically contain a large number of i...
Source: International Journal of Neural Systems - February 6, 2024 Category: Neurology Authors: Ruibin Zhao Zhiwei Xie Yipeng Zhuang Philip L H Yu Source Type: research

Alzheimer's Disease Evaluation Through Visual Explainability by Means of Convolutional Neural Networks
Conclusions: The analysis of the heatmaps produced by the Grad-CAM algorithm shows that in almost all cases the heatmaps highlight regions such as ventricles and cerebral cortex. Future work will focus on the realization of a network capable of analyzing the three anatomical views simultaneously.PMID:38273799 | DOI:10.1142/S0129065724500072 (Source: International Journal of Neural Systems)
Source: International Journal of Neural Systems - January 26, 2024 Category: Neurology Authors: Francesco Mercaldo Marcello Di Giammarco Fabrizio Ravelli Fabio Martinelli Antonella Santone Mario Cesarelli Source Type: research

Epileptic Seizure Detection with an End-to-End Temporal Convolutional Network and Bidirectional Long Short-Term Memory Model
Int J Neural Syst. 2024 Jan 17:2450012. doi: 10.1142/S0129065724500126. Online ahead of print.ABSTRACTAutomatic seizure detection plays a key role in assisting clinicians for rapid diagnosis and treatment of epilepsy. In view of the parallelism of temporal convolutional network (TCN) and the capability of bidirectional long short-term memory (BiLSTM) in mining the long-range dependency of multi-channel time-series, we propose an automatic seizure detection method with a novel end-to-end TCN-BiLSTM model in this work. First, raw EEG is filtered with a 0.5-45 Hz band-pass filter, and the filtered data are input into the prop...
Source: International Journal of Neural Systems - January 17, 2024 Category: Neurology Authors: Xingchen Dong Yiming Wen Dezan Ji Shasha Yuan Zhen Liu Wei Shang Weidong Zhou Source Type: research

A Graph-Based Neural Approach to Linear Sum Assignment Problems
Int J Neural Syst. 2024 Jan 17:2450011. doi: 10.1142/S0129065724500114. Online ahead of print.ABSTRACTLinear assignment problems are well-known combinatorial optimization problems involving domains such as logistics, robotics and telecommunications. In general, obtaining an optimal solution to such problems is computationally infeasible even in small settings, so heuristic algorithms are often used to find near-optimal solutions. In order to attain the right assignment permutation, this study investigates a general-purpose learning strategy that uses a bipartite graph to describe the problem structure and a message passing...
Source: International Journal of Neural Systems - January 17, 2024 Category: Neurology Authors: Carlo Aironi Samuele Cornell Stefano Squartini Source Type: research

Multilevel Laser-Induced Pain Measurement with Wasserstein Generative Adversarial Network - Gradient Penalty Model
Int J Neural Syst. 2024 Jan;34(1):2350067. doi: 10.1142/S0129065723500673.ABSTRACTPain is an experience of unpleasant sensations and emotions associated with actual or potential tissue damage. In the global context, billions of people are affected by pain disorders. There are particular challenges in the measurement and assessment of pain, and the commonly used pain measuring tools include traditional subjective scoring methods and biomarker-based measures. The main tools for biomarker-based analysis are electroencephalography (EEG), electrocardiography and functional magnetic resonance. The EEG-based quantitative pain mea...
Source: International Journal of Neural Systems - December 27, 2023 Category: Neurology Authors: Jiancai Leng Jianqun Zhu Yihao Yan Xin Yu Ming Liu Yitai Lou Yanbing Liu Licai Gao Yuan Sun Tianzheng He Qingbo Yang Chao Feng Dezheng Wang Yang Zhang Qing Xu Fangzhou Xu Source Type: research