Multiobjective Optimization of Classifiers by Means of 3-D Convex Hull Based Evolutionary Algorithm. - Jiaqi Zhao 001; Vitor Basto-Fernandes; Licheng Jiao; Iryna Yevseyeva; Asep Maulana; Rui Li 001; Thomas Bäck; Michael T. M. Emmerich (CoRR, 2014)

Reducing complexity in many objective optimization using community detection. - Asep Maulana; Zhongzhou Jiang; Jing Liu 006; Thomas Bäck; Michael T. M. Emmerich (CEC, 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 (EVOLVE, 2015)

Modularities maximization in multiplex network analysis using Many-Objective Optimization. - Asep Maulana; Valerio Gemmetto; Diego Garlaschelli; Iryna Yevseyeva; Michael Emmerich 001 (SSCI, 2016)

Multiobjective optimization of classifiers by means of 3D convex-hull-based evolutionary algorithms. - Jiaqi Zhao 001; Vitor Basto-Fernandes; Licheng Jiao; Iryna Yevseyeva; Asep Maulana; Rui Li 001; Thomas Bäck; Ke Tang 001; Michael T. M. Emmerich (Inf. Sci., 2016)

Towards many-objective optimization of eigenvector centrality in multiplex networks. - Asep Maulana; Michael T. M. Emmerich (CoDIT, 2017)

Immunization of networks using genetic algorithms and multiobjective metaheuristics. - Asep Maulana; Marios Kefalas; Michael T. M. Emmerich (SSCI, 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 001; Vitor Basto-Fernandes; Licheng Jiao; Iryna Yevseyeva; Asep Maulana; Rui Li 001; Thomas Bäck; Ke Tang 001; Michael T. M. Emmerich (Inf. Sci., 2017)

Centrality-Based Anomaly Detection on Multi-Layer Networks Using Many-Objective Optimization. - Asep Maulana; Martin Atzmueller (CoDIT, 2020)

Multi-Perspective Anomaly Detection on Bipartite Multi-Layer Social Interaction Networks. - Asep Maulana; Martin Atzmueller (KI (Workshops), 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 (MediaEval, 2022)

Combining Tweets and Connections Graph for FakeNews Detection at MediaEval 2022. - Konstantin Pogorelov; Daniel Thilo Schroeder; Stefan Brenner; Asep Maulana; Johannes Langguth (MediaEval, 2022)

Leveraging GNNs and Node Entropy for Anomaly Detection: Revealing Misinformation Spreader on Twitter Network. - Asep Maulana; Johannes Langguth (CSoNet, 2023)

Using GNNs for Misinformation Spreader Detection via Assortativity-Aware Node Label Classification in Twitter Networks. - Asep Maulana; Johannes Langguth (SNAMS, 2023)

Supervised GNNs for Node Label Classification in Highly Sparse Network: Comparative Analysis. - Fathimah Syifa Nurkasyifah; Asep Kuswandi Supriatna; Asep Maulana (EAIS, 2024)