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Found 10 papers, 2 papers with code
Automatic ICD-10 Code Association: A Challenging Task on French Clinical Texts
Automatically associating ICD codes with electronic health data is a well-known NLP task in medical research.
An Easy-to-use and Robust Approach for the Differentially Private De-Identification of Clinical Textual Documents
Unstructured textual data is at the heart of healthcare systems.
De-Identification of French Unstructured Clinical Notes for Machine Learning Tasks
In French, very few methods are based on arbitrary detection and/or substitution rules.
Differentially Private Multivariate Time Series Forecasting of Aggregated Human Mobility With Deep Learning: Input or Gradient Perturbation?
As shown in the results, differentially private deep learning models trained under gradient or input perturbation achieve nearly the same performance as non-private deep learning models, with loss in performance varying between $0. 57\%$ to $2. 8\%$.
Well-supported phylogenies using largest subsets of core-genes by discrete particle swarm optimization
The number of complete chloroplastic genomes increases day after day, making it possible to rethink plants phylogeny at the biomolecular era.
Binary Particle Swarm Optimization versus Hybrid Genetic Algorithm for Inferring Well Supported Phylogenetic Trees
Considering a subset of close plant species defined according to their chloroplasts, the phylogenetic tree that can be inferred by their core genes is not necessarily well supported, due to the possible occurrence of problematic genes (i. e., homoplasy, incomplete lineage sorting, horizontal gene transfers, etc.)
Neural Networks and Chaos: Construction, Evaluation of Chaotic Networks, and Prediction of Chaos with Multilayer Feedforward Networks
The purpose of this paper is to establish, based on a rigorous theoretical framework, an equivalence between chaotic iterations according to Devaney and a particular class of neural networks.
Steganalysis via a Convolutional Neural Network using Large Convolution Filters for Embedding Process with Same Stego Key
For the past few years, in the race between image steganography and steganalysis, deep learning has emerged as a very promising alternative to steganalyzer approaches based on rich image models combined with ensemble classifiers.
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Hybrid Genetic Algorithm and Lasso Test Approach for Inferring Well Supported Phylogenetic Trees based on Subsets of Chloroplastic Core Genes
The amount of completely sequenced chloroplast genomes increases rapidly every day, leading to the possibility to build large scale phylogenetic trees of plant species.
Gene Similarity-based Approaches for Determining Core-Genes of Chloroplasts
More precisely, we proposed to use genes names, sequence similarities, or both, insured either from NCBI or from DOGMA annotation tools.
