Edi Prifti

According to our database, Edi Prifti authored at least 13 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

ECGtizer: a fully automated digitizing and signal recovery pipeline for electrocardiograms.

Alex Lence, Ahmad Fall, Samuel David Cohen, Federica Granese, Jean-Daniel Zucker, Joe-Elie Salem, Edi Prifti

CoRR, 2024

ECGrecover: a Deep Learning Approach for Electrocardiogram Signal Completion.

Alex Lence, Ahmad Fall, Federica Granese, Blaise Hanczar, Joe-Elie Salem, Jean-Daniel Zucker, Edi Prifti

CoRR, 2024

Enhancing YOLOv7 for Plant Organs Detection Using Attention-Gate Mechanism.

Hanane Ariouat, Youcef Sklab, Marc Pignal, Florian Jabbour, Régine Vignes-Lebbe, Edi Prifti, Jean-Daniel Zucker, Eric Chenin

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

2019

QMSpy: An Integrated Modular and Scalable Platform for Quantitative Metagenomics in Pyspark.

Ari Ugarte, Minh Quang-Dao, Bich Hai Ho, Chloe Vigliotti, Eugeni Belda, Jean-Daniel Zucker, Edi Prifti

Proceedings of the 2019 IEEE-RIVF International Conference on Computing and Communication Technologies, 2019

Disease Prediction Using Synthetic Image Representations of Metagenomic Data and Convolutional Neural Networks.

Thanh Hai Nguyen, Edi Prifti, Nataliya Sokolovska, Jean-Daniel Zucker

Proceedings of the 2019 IEEE-RIVF International Conference on Computing and Communication Technologies, 2019

2018

Disease Classification in Metagenomics with 2D Embeddings and Deep Learning.

Thanh Hai Nguyen, Edi Prifti, Yann Chevaleyre, Nataliya Sokolovska, Jean-Daniel Zucker

CoRR, 2018

2017

Deep Learning for Metagenomic Data: using 2D Embeddings and Convolutional Neural Networks.

Thanh Hai Nguyen, Yann Chevaleyre, Edi Prifti, Nataliya Sokolovska, Jean-Daniel Zucker

CoRR, 2017

Efficient global network learning from local reconstructions.

Séverine Affeldt, Nataliya Sokolovska, Edi Prifti, Jean-Daniel Zucker

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Spectral consensus strategy for accurate reconstruction of large biological networks.

Séverine Affeldt, Nataliya Sokolovska, Edi Prifti, Jean-Daniel Zucker

BMC Bioinform., 2016

2015

Disentangling type 2 diabetes and metformin treatment signatures in the human gut microbiota.

Kristoffer Forslund, Falk Hildebrand, Trine Nielsen, Gwen Falony, Emmanuelle Le Chatelier, Shinichi Sunagawa, Edi Prifti, Sara Vieira-Silva, Valborg Gudmundsdottir, Helle Krogh Pedersen, Manimozhiyan Arumugam, Karsten Kristiansen, Anita Yvonne Voigt, Henrik Vestergaard, Rajna Hercog, Paul I. Costea, Jens Roat Kultima, Junhua Li, Torben Jørgensen, Florence Levenez, Joël Dore, Henrik Bjørn Nielsen, Søren Brunak, Jeroen Raes, Torben Hansen, Jun Wang, S. Dusko Ehrlich, Peer Bork, Oluf Pedersen

Nat., 2015

2014

Alterations of the human gut microbiome in liver cirrhosis.

Nan Qin, Fengling Yang, Ang Li, Edi Prifti, Yanfei Chen, Li Shao, Jing Guo, Emmanuelle Le Chatelier, Jian Yao, Lingjiao Wu, Jiawei Zhou, Shujun Ni, Lin Liu, Nicolas Pons, Jean-Michel Batto, Sean P. Kennedy, Pierre Leonard, Chunhui Yuan, Wenchao Ding, Yuanting Chen, Xinjun Hu, Beiwen Zheng, Guirong Qian, Wei Xu, S. Dusko Ehrlich, Shu-sen Zheng, Lanjuan Li

Nat., 2014

2010

Interactional and functional centrality in transcriptional co-expression networks.

Edi Prifti, Jean-Daniel Zucker, Karine Clément, Corneliu Henegar

Bioinform., 2010

2008

FunNet: an integrative tool for exploring transcriptional interactions.

Edi Prifti, Jean-Daniel Zucker, Karine Clément, Corneliu Henegar

Bioinform., 2008