Found 4716 results, showing the newest relevant preprints. Sort by relevancy only.Update me on new preprints

Automation of (Macro)molecular Properties Using a Bootstrapping Swarm Artificial Neural Network Method: Databases for Machine Learning

Furthermore, with the optimized artificial neural network using the training data served as input for BSANN, we can predict properties and their statistical errors of new molecules using the plugins provided from that web-service. Expand abstract.
5 hours ago
8/10 relevant
bioRxiv

Characterizing neural coding performance for populations of sensory neurons: comparing a weighted spike distance metrics to other analytical methods.

We show that the result of this Kullback-Leibler-weighted spike train distance (KLW distance) analysis performs as well or better than the artificial neural network we tested and outperforms the more traditional spike distance metrics. Expand abstract.
5 hours ago
4/10 relevant
bioRxiv

A Simple yet Effective Baseline for Robust Deep Learning with Noisy Labels

Recently deep neural networks have shown their capacity to memorize training data, even with noisy labels, which hurts generalization performance. Expand abstract.
3 days ago
6/10 relevant
arXiv

Post-Disturbance Dynamic Frequency Features Prediction Based on Convolutional Neural Network

In this paper, a predictive algorithm for post-disturbance dynamic frequency features is proposed based on convolutional neural network (CNN) . Expand abstract.
3 days ago
5/10 relevant
arXiv

Recognition of Handwritten Digit using Convolutional Neural Network in Python with Tensorflow and Comparison of Performance for Various Hidden Layers

In deep learning, Convolutional Neural Network (CNN) is at the center of spectacular advances that mixes Artificial Neural Network (ANN) and up to date deep learning strategies. Expand abstract.
4 days ago
8/10 relevant
Preprints.org

Testing the robustness of attribution methods for convolutional neural networks in MRI-based Alzheimer's disease classification

We have repeatedly trained a convolutional neural network (CNN) with identical training settings in order to separate structural MRI data of patients with Alzheimer's disease and healthy controls. Expand abstract.
4 days ago
7/10 relevant
arXiv

Biometric Face Presentation Attack Detection with Multi-Channel Convolutional Neural Network

In this context, we propose a multi-channel Convolutional Neural Network based approach for presentation attack detection (PAD). Expand abstract.
4 days ago
7/10 relevant
arXiv

PgNN: Physics-guided Neural Network for Fourier Ptychographic Microscopy

To address these dilemmas, we model the forward physical imaging process as an interpretable physics-guided neural network (PgNN), where the reconstructed image in the complex domain is considered as the learnable parameters of the neural network. Expand abstract.
4 days ago
7/10 relevant
arXiv

Timage -- A Robust Time Series Classification Pipeline

In order to utilize the research done in the area of image classification, where Deep Neural Networks have achieved very good results, we use a Residual Neural Networks architecture known as ResNet. Expand abstract.
4 days ago
5/10 relevant
arXiv

Density Encoding Enables Resource-Efficient Randomly Connected Neural Networks

In this article, we focus on resource-efficient randomly connected neural networks known as Random Vector Functional Link (RVFL) networks since their simple design and extremely fast training time make them very attractive for solving many applied classification tasks. Expand abstract.
4 days ago
10/10 relevant
arXiv