Asep Maulana

According to our database, Asep Maulana authored at least 15 papers between 2014 and 2024.

Collaborative distances:

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

2024

Supervised GNNs for Node Label Classification in Highly Sparse Network: Comparative Analysis.

Fathimah Syifa Nurkasyifah, Asep Kuswandi Supriatna, Asep Maulana

Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2024

2023

Using GNNs for Misinformation Spreader Detection via Assortativity-Aware Node Label Classification in Twitter Networks.

Asep Maulana, Johannes Langguth

Proceedings of the Tenth International Conference on Social Networks Analysis, 2023

Leveraging GNNs and Node Entropy for Anomaly Detection: Revealing Misinformation Spreader on Twitter Network.

Asep Maulana, Johannes Langguth

Proceedings of the Computational Data and Social Networks - 12th International Conference, 2023

2022

Combining Tweets and Connections Graph for FakeNews Detection at MediaEval 2022.

Konstantin Pogorelov, Daniel Thilo Schroeder, Stefan Brenner, Asep Maulana, Johannes Langguth

Proceedings of the Working Notes Proceedings of the MediaEval 2022 Workshop, 2022

Graph Neural Network for Fake News Detection and Classification of Unlabelled Nodes at MediaEval 2022.

Asep Maulana, Konstantin Pogorelov, Daniel Thilo Schroeder, Johannes Langguth

Proceedings of the Working Notes Proceedings of the MediaEval 2022 Workshop, 2022

Multi-Perspective Anomaly Detection on Bipartite Multi-Layer Social Interaction Networks.

Asep Maulana, Martin Atzmueller

Proceedings of the Joint Proceedings of Workshops, 2022

2020

Centrality-Based Anomaly Detection on Multi-Layer Networks Using Many-Objective Optimization.

Asep Maulana, Martin Atzmueller

Proceedings of the 7th International Conference on Control, 2020

2017

Corrigendum to 'Multiobjective optimization of classifiers by means of 3D convex-hull-based evolutionary algorithms' [Information Sciences volumes 367-368 (2016) 80-104].

Jiaqi Zhao, Vitor Basto-Fernandes, Licheng Jiao, Iryna Yevseyeva, Asep Maulana, Rui Li, Thomas Bäck, Ke Tang, Michael T. M. Emmerich

Inf. Sci., 2017

Immunization of networks using genetic algorithms and multiobjective metaheuristics.

Asep Maulana, Marios Kefalas, Michael T. M. Emmerich

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Towards many-objective optimization of eigenvector centrality in multiplex networks.

Asep Maulana, Michael T. M. Emmerich

Proceedings of the 4th International Conference on Control, 2017

2016

Multiobjective optimization of classifiers by means of 3D convex-hull-based evolutionary algorithms.

Jiaqi Zhao, Vitor Basto-Fernandes, Licheng Jiao, Iryna Yevseyeva, Asep Maulana, Rui Li, Thomas Bäck, Ke Tang, Michael T. M. Emmerich

Inf. Sci., 2016

Modularities maximization in multiplex network analysis using Many-Objective Optimization.

Asep Maulana, Valerio Gemmetto, Diego Garlaschelli, Iryna Yevseyeva, Michael Emmerich

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

2015

Community Detection in NK Landscapes - An Empirical Study of Complexity Transitions in Interactive Networks.

Asep Maulana, André H. Deutz, Erik A. Schultes, Michael T. M. Emmerich

Proceedings of the EVOLVE, 2015

Reducing complexity in many objective optimization using community detection.

Asep Maulana, Zhongzhou Jiang, Jing Liu, Thomas Bäck, Michael T. M. Emmerich

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014

Multiobjective Optimization of Classifiers by Means of 3-D Convex Hull Based Evolutionary Algorithm.

Jiaqi Zhao, Vitor Basto-Fernandes, Licheng Jiao, Iryna Yevseyeva, Asep Maulana, Rui Li, Thomas Bäck, Michael T. M. Emmerich

CoRR, 2014