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2020 – today
- 2024
[j4]Linlin Jia
, Éric Brémond, Larissa Zaida, Benoit Gaüzère, Vincent Tognetti, Laurent Joubert:
Predicting redox potentials by graph-based machine learning methods. J. Comput. Chem. 45(28): 2383-2396 (2024)- 2023
- [j3]Ning Xi, Linlin Jia, Yongyue Wei, Xi-An Li, Feng Chen:
Epi-DNNs: Epidemiological priors informed deep neural networks for modeling COVID-19 dynamics. Comput. Biol. Medicine 158: 106693 (2023) - [c5]Linlin Jia, Xiao Ning, Benoit Gaüzère, Paul Honeine, Kaspar Riesen:
Bridging Distinct Spaces in Graph-Based Machine Learning. ACPR (2) 2023: 1-14 - 2022
- [j2]Linlin Jia, Benoit Gaüzère, Paul Honeine:
Graph kernels based on linear patterns: Theoretical and experimental comparisons. Expert Syst. Appl. 189: 116095 (2022) - 2021
- [b1]Linlin Jia:
Bridging graph and kernel spaces: a pre-image perspective. (Rapprocher les espaces de graphes et à noyaux: une perspective de la pré-image). Normandy University, Caen, France, 2021 - [j1]Linlin Jia, Benoit Gaüzère, Paul Honeine:
graphkit-learn: A Python library for graph kernels based on linear patterns. Pattern Recognit. Lett. 143: 113-121 (2021) - 2020
- [c4]Linlin Jia, Benoit Gaüzère, Paul Honeine:
A Graph Pre-image Method Based on Graph Edit Distances. S+SSPR 2020: 216-226 - [c3]Linlin Jia, Benoit Gaüzère, Florian Yger, Paul Honeine:
A Metric Learning Approach to Graph Edit Costs for Regression. S+SSPR 2020: 238-247
2010 – 2019
- 2018
- [c2]Linlin Jia, Laisheng Xiang, Xiyu Liu:
An Improved BTK Algorithm Based on Cell-Like P System with Active Membranes. LION 2018: 36-48
2000 – 2009
- 2008
- [c1]Fangjiao Jiang, Linlin Jia, Weiyi Meng, Xiaofeng Meng:
MrCoM: A Cost Model for Range Query Translation in Deep Web Data Integration. SKG 2008: 263-270
Coauthor Index
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