Madalina Ciortan

Exploiting Genomic Features to Improve the Prediction of Transcription Factor Binding Sites in Plants.

Matthieu Defrance, Massimiliano Corso, N. Verbruggen, 2022, Plant & cell physiology.

Contrastive self-supervised clustering of scRNA-seq data

Matthieu Defrance, Madalina Ciortan, Matthieu Defrance, 2021, BMC Bioinformatics.

Explainability methods for differential gene analysis of single cell RNA-seq clustering models

Matthieu Defrance, Madalina Ciortan, 2021, bioRxiv.

Optimization algorithm for omic data subspace clustering

Matthieu Defrance, Madalina Ciortan, 2021, bioRxiv.

GNN-based embedding for clustering scRNA-seq data

Matthieu Defrance, Madalina Ciortan, 2021, Bioinform..

A Framework using Contrastive Learning for Classification with Noisy Labels

Thomas Peel, Romain Dupuis, Madalina Ciortan, 2021, Data.

Augment to Interpret: Unsupervised and Inherently Interpretable Graph Embeddings

Gregory Scafarto, Madalina Ciortan, Simon Tihon, 2023, Asian Conference on Machine Learning.