Found 3243 results, showing the newest relevant preprints. Sort by relevancy only.Update me on new preprints

Integrating Deep Neural Networks and Symbolic Inference for Organic Reactivity Prediction

The results show the advantages of empowering deep learning models with chemical intuition and knowledge to expedite the drug discovery process. Expand abstract.
18289 days ago
5/10 relevant
chemRxiv

Predicting Binding from Screening Assays with Transformer Network Embeddings

The arrival of deep learning and the abundance of easily accessible chemical data from repositories like PubChem have enabled advancements in computer-aided drug discovery. Expand abstract.
18289 days ago
4/10 relevant
chemRxiv

Spectral Deep Learning for Prediction and Prospective Validation of Functional Groups

Herein, we introduce a fast, multi-label deep neural network for accurately identifying all the functional groups of unknown compounds using a combination of FTIR and MS spectra. Expand abstract.
18289 days ago
7/10 relevant
chemRxiv

Low-N protein engineering with data-efficient deep learning

With reproducible500% improvements in activity from a single assay in a 96-well plate, we demonstrate the strongest generalization observed in machine-learning guided protein design to date. Expand abstract.
3 days ago
8/10 relevant
bioRxiv

Identification of a blood test-based biomarker of aging through deep learning of aging trajectories in large phenotypic datasets of mice

To analyze the data, we employed a deep artificial neural network including auto-encoder (AE) and auto-regression (AR) components. Expand abstract.
4 days ago
9/10 relevant
bioRxiv

EEG-informed speaker extraction from noisy recordings in neuro-steered hearing aids: linear versus deep learning methods

Methods: We evaluated a linear versus a deep neural network (DNN) based speaker separation pipeline, with same-gender speaker mixtures for 3 different speaker positions and 3 different noise conditions. Expand abstract.
5 days ago
7/10 relevant
bioRxiv

Automatic phantom test pattern classification through transfer learning with deep neural networks

We propose a method of automatically classifying these test patterns in a series of phantom images using deep learning techniques. Expand abstract.
5 days ago
5/10 relevant
arXiv

RDAnet: A Deep Learning Based Approach for Synthetic Aperture Radar Image Formation

We believe that this work is the first demonstration of deep learning based SAR image formation using real data. Expand abstract.
5 days ago
10/10 relevant
arXiv

SAUNet: Shape Attentive U-Net for Interpretable Medical Image Segmentation

Despite the progress of deep learning in medical image segmentation, standard CNNs are still not fully adopted in clinical settings as they lack robustness and interpretability. Expand abstract.
6 days ago
5/10 relevant
arXiv

DeepRS: Deep-learning Based Network-Adaptive FEC for Real-Time Video Communications

This work proposes an innovative approach to handle packet loss in real-time video streaming scenarios in a more sophisticated way -- Predicting packet loss pattern on time field by deep learning model. Expand abstract.
6 days ago
10/10 relevant
arXiv