Fatemeh Vafaee

Orcid: 0000-0002-7521-2417

According to our database1, Fatemeh Vafaee authored at least 26 papers between 2007 and 2024.

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Bibliography

2024
3D-IncNet: Head and Neck (H&N) Primary Tumors Segmentation and Survival Prediction.
IEEE J. Biomed. Health Informatics, March, 2024

A review on graph neural networks for predicting synergistic drug combinations.
Artif. Intell. Rev., March, 2024

Multi-omics data integration for early diagnosis of hepatocellular carcinoma (HCC) using machine learning.
CoRR, 2024

2023
Fotomics: fourier transform-based omics imagification for deep learning-based cell-identity mapping using single-cell omics profiles.
Artif. Intell. Rev., 2023

2022
Dynamic Hybrid Model to Forecast the Spread of COVID-19 Using LSTM and Behavioral Models Under Uncertainty.
IEEE Trans. Cybern., 2022

Blood-based transcriptomic signature panel identification for cancer diagnosis: benchmarking of feature extraction methods.
Briefings Bioinform., 2022

2021
Integrative resource for network-based investigation of COVID-19 combinatorial drug repositioning and mechanism of action.
Patterns, 2021

Supervised application of internal validation measures to benchmark dimensionality reduction methods in scRNA-seq data.
Briefings Bioinform., 2021

A comprehensive integrated drug similarity resource for in-silico drug repositioning and beyond.
Briefings Bioinform., 2021

2020
Forecasting the Spread of Covid-19 Under Control Scenarios Using LSTM and Dynamic Behavioral Models.
CoRR, 2020

TDAview: an online visualization tool for topological data analysis.
Bioinform., 2020

2019
Transcriptomic Data Normalization.
Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 2, 2019

Bayesian network hybrid learning using an elite-guided genetic algorithm.
Artif. Intell. Rev., 2019

2017
The role of crossover operator in bayesian network structure learning performance: a comprehensive comparative study and new insights.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016
Highlights from the 11th ISCB Student Council Symposium 2015: Dublin, Ireland. 10 July 2015.
BMC Bioinform., February, 2016

2014
Among-site rate variation: adaptation of genetic algorithm mutation rates at each single site.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Learning the structure of large-scale bayesian networks using genetic algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Balancing the exploration and exploitation in an adaptive diversity guided genetic algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Novel semantic similarity measure improves an integrative approach to predicting gene functional associations.
BMC Syst. Biol., 2013

2010
Optimizing genetic operator rates using a markov chain model of genetic algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

An explorative and exploitative mutation scheme.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Self-Adaptation of Genetic Operator Probabilities Using Differential Evolution.
Proceedings of the Third IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2009

A Genetic Algorithm that Incorporates an Adaptive Mutation Based on an Evolutionary Model.
Proceedings of the International Conference on Machine Learning and Applications, 2009

In-network query processing in mobile P2P databases.
Proceedings of the 17th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2009

2008
Adaptively Evolving Probabilities of Genetic Operators.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

2007
Dynamic Adaptation of Genetic Operators' Probabilities.
Proceedings of the Nature Inspired Cooperative Strategies for Optimization (NICSO 2007), 2007


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