Asep Maulana

15 papers B 1C 2Journal 3Unranked 9
YearRankTypeTitle / Venue / Authors
2024 — conf
Supervised GNNs for Node Label Classification in Highly Sparse Network: Comparative Analysis.
EAIS
Fathimah Syifa Nurkasyifah, Asep Kuswandi Supriatna, Asep Maulana
2023 — conf
Leveraging GNNs and Node Entropy for Anomaly Detection: Revealing Misinformation Spreader on Twitter Network.
CSoNet
Asep Maulana, Johannes Langguth
2023 — conf
Using GNNs for Misinformation Spreader Detection via Assortativity-Aware Node Label Classification in Twitter Networks.
SNAMS
Asep Maulana, Johannes Langguth
2022 — conf
Combining Tweets and Connections Graph for FakeNews Detection at MediaEval 2022.
MediaEval
Konstantin Pogorelov, Daniel Thilo Schroeder, Stefan Brenner, Asep Maulana, Johannes Langguth
2022 — conf
Graph Neural Network for Fake News Detection and Classification of Unlabelled Nodes at MediaEval 2022.
MediaEval
Asep Maulana, Konstantin Pogorelov, Daniel Thilo Schroeder, Johannes Langguth
2022 — conf
Multi-Perspective Anomaly Detection on Bipartite Multi-Layer Social Interaction Networks.
KI (Workshops)
Asep Maulana, Martin Atzmueller
2020 C conf
Centrality-Based Anomaly Detection on Multi-Layer Networks Using Many-Objective Optimization.
CoDIT
Asep Maulana, Martin Atzmueller
2017 J jnl
Corrigendum to 'Multiobjective optimization of classifiers by means of 3D convex-hull-based evolutionary algorithms' [Information Sciences volumes 367-368 (2016) 80-104].
Inf. Sci.
Jiaqi Zhao, Vitor Basto-Fernandes, Licheng Jiao, Iryna Yevseyeva, Asep Maulana, Rui Li, Thomas Bäck, Ke Tang, Michael T. M. Emmerich
2017 — conf
Immunization of networks using genetic algorithms and multiobjective metaheuristics.
SSCI
Asep Maulana, Marios Kefalas, Michael T. M. Emmerich
2017 C conf
Towards many-objective optimization of eigenvector centrality in multiplex networks.
CoDIT
Asep Maulana, Michael T. M. Emmerich
2016 — conf
Modularities maximization in multiplex network analysis using Many-Objective Optimization.
SSCI
Asep Maulana, Valerio Gemmetto, Diego Garlaschelli, Iryna Yevseyeva, Michael Emmerich
2016 J jnl
Multiobjective optimization of classifiers by means of 3D convex-hull-based evolutionary algorithms.
Inf. Sci.
Jiaqi Zhao, Vitor Basto-Fernandes, Licheng Jiao, Iryna Yevseyeva, Asep Maulana, Rui Li, Thomas Bäck, Ke Tang, Michael T. M. Emmerich
2015 — conf
Community Detection in NK Landscapes - An Empirical Study of Complexity Transitions in Interactive Networks.
EVOLVE
Asep Maulana, André H. Deutz, Erik A. Schultes, Michael T. M. Emmerich
2015 B conf
Reducing complexity in many objective optimization using community detection.
CEC
Asep Maulana, Zhongzhou Jiang, Jing Liu, Thomas Bäck, Michael T. M. Emmerich
2014 J jnl
Multiobjective Optimization of Classifiers by Means of 3-D Convex Hull Based Evolutionary Algorithm.
CoRR
Jiaqi Zhao, Vitor Basto-Fernandes, Licheng Jiao, Iryna Yevseyeva, Asep Maulana, Rui Li, Thomas Bäck, Michael T. M. Emmerich