AIMC Topic: Neural Networks, Computer

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Application of Three-Stage DEA Model Combined with BP Neural Network in Microfinancial Efficiency Evaluation.

Computational intelligence and neuroscience
The research performed here intends to explore the future development model of new rural financial institutions and determine the financial efficiency goals, thereby providing a huge stage for the development of new rural financial institutions. It a...

Design of Drug Sales Forecasting Model Using Particle Swarm Optimization Neural Networks Model.

Computational intelligence and neuroscience
The establishment of enterprise target inventory is directly related to the forecast of drug sales volume. Accurate sales forecasting can help businesses not only set accurate target inventory but also avoid inventory backlogs and shortages. In this ...

Leukocyte Segmentation Method Based on Adaptive Retinex Correction and U-Net.

Computational and mathematical methods in medicine
To address the issues of uneven illumination and inconspicuous leukocyte properties in the gathered cell pictures, a leukocyte segmentation method based on adaptive retinex correction and U-net was proposed. The procedure begins by processing a perip...

EEGSym: Overcoming Inter-Subject Variability in Motor Imagery Based BCIs With Deep Learning.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
In this study, we present a new Deep Learning (DL) architecture for Motor Imagery (MI) based Brain Computer Interfaces (BCIs) called EEGSym. Our implementation aims to improve previous state-of-the-art performances on MI classification by overcoming ...

Grammar-Induced Wavelet Network for Human Parsing.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Most existing methods of human parsing still face a challenge: how to extract the accurate foreground from similar or cluttered scenes effectively. In this paper, we propose a Grammar-induced Wavelet Network (GWNet), to deal with the challenge. GWNet...

A Sparse and Spike-Timing-Based Adaptive Photoencoder for Augmenting Machine Vision for Spiking Neural Networks.

Advanced materials (Deerfield Beach, Fla.)
The representation of external stimuli in the form of action potentials or spikes constitutes the basis of energy efficient neural computation that emerging spiking neural networks (SNNs) aspire to imitate. With recent evidence suggesting that inform...

AdjointBackMap: Reconstructing effective decision hypersurfaces from CNN layers using adjoint operators.

Neural networks : the official journal of the International Neural Network Society
There are several methods in the exploration of Convolutional Neural Networks' (CNNs') inner workings. However, in general, finding the inverse of the function performed by CNNs as a whole is an ill-posed problem. In this paper, we propose a method b...

Deep reinforcement learning guided graph neural networks for brain network analysis.

Neural networks : the official journal of the International Neural Network Society
Modern neuroimaging techniques enable us to construct human brains as brain networks or connectomes. Capturing brain networks' structural information and hierarchical patterns is essential for understanding brain functions and disease states. Recentl...

Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room.

Medical image analysis
The fine-grained localization of clinicians in the operating room (OR) is a key component to design the new generation of OR support systems. Computer vision models for person pixel-based segmentation and body-keypoints detection are needed to better...

Assessment of deep learning and transfer learning for cancer prediction based on gene expression data.

BMC bioinformatics
BACKGROUND: Machine learning is now a standard tool for cancer prediction based on gene expression data. However, deep learning is still new for this task, and there is no clear consensus about its performance and utility. Few experimental works have...