Neurodynamical Computing at the Information Boundaries of Intelligent Systems [0.03%]
智能系统信息边界上的神经动力学计算
Joseph D Monaco,Grace M Hwang
Joseph D Monaco
Artificial intelligence has not achieved defining features of biological intelligence despite models boasting more parameters than neurons in the human brain. In this perspective article, we synthesize historical approaches to understanding...
Hao Li,Yang Nan,Javier Del Ser et al.
Hao Li et al.
Automated segmentation of multiple organs and tumors from 3D medical images such as magnetic resonance imaging (MRI) and computed tomography (CT) scans using deep learning methods can aid in diagnosing and treating cancer. However, organs o...
Spiking Recurrent Neural Networks Represent Task-Relevant Neural Sequences in Rule-Dependent Computation [0.03%]
基于规则计算的任务相关神经序列在脉冲递归神经网络中的表示
Xiaohe Xue,Ralf D Wimmer,Michael M Halassa et al.
Xiaohe Xue et al.
Background: Prefrontal cortical neurons play essential roles in performing rule-dependent tasks and working memory-based decision making. Methods: ...
Robust Resting-State Dynamics in a Large-Scale Spiking Neural Network Model of Area CA3 in the Mouse Hippocampus [0.03%]
小鼠海马CA3区大规模脉冲神经网络的稳健静息态动力学
Jeffrey D Kopsick,Carolina Tecuatl,Keivan Moradi et al.
Jeffrey D Kopsick et al.
Hippocampal area CA3 performs the critical auto-associative function underlying pattern completion in episodic memory. Without external inputs, the electrical activity of this neural circuit reflects the spontaneous spiking interplay among ...
Junyu Lai,Zhiyong Chen,Junhong Zhu et al.
Junyu Lai et al.
Network traffic prediction (NTP) can predict future traffic leveraging historical data, which serves as proactive methods for network resource planning, allocation, and management. Besides, NTP can also be applied for load generation in sim...
Integrating Economic Theory, Domain Knowledge, and Social Knowledge into Hybrid Sentiment Models for Predicting Crude Oil Markets [0.03%]
基于混合情感模型的经济理论、领域知识及社会知识的融合预测原油市场波动方向
Himmet Kaplan,Albert Weichselbraun,Adrian M P Braşoveanu
Himmet Kaplan
For several decades, sentiment analysis has been considered a key indicator for assessing market mood and predicting future price changes. Accurately predicting commodity markets requires an understanding of fundamental market dynamics such...
Cognitively Enhanced Versions of Capuchin Search Algorithm for Feature Selection in Medical Diagnosis: a COVID-19 Case Study [0.03%]
一种改进的卷须猴搜索算法在医疗诊断特征选择中的应用：以COVID-19为例
Malik Braik,Mohammed A Awadallah,Mohammed Azmi Al-Betar et al.
Malik Braik et al.
Feature selection (FS) is a crucial area of cognitive computation that demands further studies. It has recently received a lot of attention from researchers working in machine learning and data mining. It is broadly employed in many differe...
Towards Automated Optimization of Residual Convolutional Neural Networks for Electrocardiogram Classification [0.03%]
基于残差卷积神经网络的心电图分类的自动优化方法研究
Zeineb Fki,Boudour Ammar,Mounir Ben Ayed
Zeineb Fki
The interpretation of biological data such as the ElectroCardioGram (ECG) signal gives clinical information and helps to assess the heart function. There are distinct ECG patterns associated with a specific class of arrhythmia. The convolut...
COVID-19 Detection: A Systematic Review of Machine and Deep Learning-Based Approaches Utilizing Chest X-Rays and CT Scans [0.03%]
COVID-19检测：利用胸部X光片和CT图像的机器学习与深度学习系统综述
Kirti Raj Bhatele,Anand Jha,Devanshu Tiwari et al.
Kirti Raj Bhatele et al.
This review study presents the state-of-the-art machine and deep learning-based COVID-19 detection approaches utilizing the chest X-rays or computed tomography (CT) scans. This study aims to systematically scrutinize as well as to discourse...
John Pavlopoulos,Aristidis Likas
John Pavlopoulos
Commonsense knowledge is often approximated by the fraction of annotators who classified an item as belonging to the positive class. Instances for which this fraction is equal to or above 50% are considered positive, including however ones ...