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Found 7 papers, 1 papers with code
ToxicBlend: Virtual Screening of Toxic Compounds with Ensemble Predictors
Timely assessment of compound toxicity is one of the biggest challenges facing the pharmaceutical industry today.
Ranked #4 on
Drug Discovery
on Tox21
Classification and Disease Localization in Histopathology Using Only Global Labels: A Weakly-Supervised Approach
Analysis of histopathology slides is a critical step for many diagnoses, and in particular in oncology where it defines the gold standard.
Robust Detection of Covariate-Treatment Interactions in Clinical Trials
Detection of interactions between treatment effects and patient descriptors in clinical trials is critical for optimizing the drug development process.
A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series
We introduce here the first deep learning approach for sleep stage classification that learns end-to-end without computing spectrograms or extracting hand-crafted features, that exploits all multivariate and multimodal Polysomnography (PSG) signals (EEG, EMG and EOG), and that can exploit the temporal context of each 30s window of data.
Scaling up Echo-State Networks with multiple light scattering
As a proof of concept, binary networks have been successfully trained to predict the chaotic Mackey-Glass time series.
The Asymptotic Performance of Linear Echo State Neural Networks
In this article, a study of the mean-square error (MSE) performance of linear echo-state neural networks is performed, both for training and testing tasks.
A biological gradient descent for prediction through a combination of STDP and homeostatic plasticity
Identifying, formalizing and combining biological mechanisms which implement known brain functions, such as prediction, is a main aspect of current research in theoretical neuroscience.
