Sedigheh Mahdavi

Orcid: 0000-0002-5369-9068

According to our database1, Sedigheh Mahdavi authored at least 24 papers between 2013 and 2021.

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Bibliography

2021
Centrality-based Interpretability Measures for Graph Embeddings.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

2020
Question-Worthy Sentence Selection for Question Generation.
Proceedings of the Advances in Artificial Intelligence, 2020

2019
Majority voting for discrete population-based optimization algorithms.
Soft Comput., 2019

Dynamic Joint Variational Graph Autoencoders.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

GDE4: The Generalized Differential Evolution with Ordered Mutation.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

Dynamic Graph Embedding via LSTM History Tracking.
Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

A Knowledge Discovery of Relationships among Dataset Entities Using Optimum Hierarchical Clustering by DE Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

A Novel Pareto-VIKOR Index for Ranking Scientists' Publication Impacts: A Case Study on Evolutionary Computation Researchers.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Opposition based learning: A literature review.
Swarm Evol. Comput., 2018

Incremental cooperative coevolution for large-scale global optimization.
Soft Comput., 2018

Length Scale-Based Differential Evolution.
Proceedings of the 2018 IEEE Canadian Conference on Electrical & Computer Engineering, 2018

dynnode2vec: Scalable Dynamic Network Embedding.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Multilevel framework for large-scale global optimization.
Soft Comput., 2017

Cooperative co-evolution with sensitivity analysis-based budget assignment strategy for large-scale global optimization.
Appl. Intell., 2017

Enhancing discrete differential evolution by conducting election.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Differential evolution with self-adaptive mutation scaling factor.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Differential evolution with center-based mutation for large-scale optimization.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Analyzing effects of ordering vectors in mutation schemes on performance of Differential Evolution.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Schematic study on interaction and imbalance effects of variables for Large-Scale Optimization.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Partial opposition-based learning using current best candidate solution.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Center-based initialization of cooperative co-evolutionary algorithm for large-scale optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Metaheuristics in large-scale global continues optimization: A survey.
Inf. Sci., 2015

2014
Cooperative Co-evolution with a new decomposition method for large-scale optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Computational structure analysis of biomacromolecule complexes by interface geometry.
Comput. Biol. Chem., 2013


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