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Dr. Moritz Vinzent Seiler

No current affiliations available for this person. The person is no longer active at the university.

Curriculum Vitae (CV)

  • Machine Learning
  • Deep Learning
  • Feature-Free Automated Algorithm Selection and Configuration
  • Training Data Selection
  • Adversarial Attack and Defense

Academic Education

since 2019Promotionsstudium (WWU Münster)
2016 - 2018Masterstudium in Information Systems (WWU Münster)
2012 - 2016Bachelorstudium der Wirtschaftsinformatik (WWU Münster)

Work Experience

since 2019Wissenschaftlicher Mitarbeiter

Publications

A Twitter Streaming Dataset collected before and after the Onset of the War between Russia and Ukraine in 2022
Pohl, Janina Susanne; Seiler, Moritz Vincent; Assenmacher, Dennis; Grimme, Christian (2022)
In: Social Science Research Network (SSRN):4066543.
Research article in digital collection
A Collection of Deep Learning-based Feature-Free Approaches for Characterizing Single-Objective Continuous Fitness Landscapes
Seiler, Moritz Vinzent; Prager, Raphael Patrick; Kerschke, Pascal; Trautmann, Heike (2022)
In: - (eds.), Proceedings of the Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM Press.
Research article in edited proceedings (conference)
Artificial Social Media Campaign Creation for Benchmarking and Challenging Detection Approaches
Pohl, Janina Susanne; Assenmacher, Dennis; Seiler, Moritz Vincent; Trautmann, Heike; Grimme, Christian (2022)
In: Association for the Advancement of Artificial Intelligence (AAAI) (eds.), Workshop Proceedings of the 16th International Conference on Web and Social Media (ICWSM). Palo Alto, CA, USA: AAAI Press.
Research article in edited proceedings (conference)
Automated Algorithm Selection in Single-Objective Continuous Optimization: A Comparative Study of Deep Learning and Landscape Analysis Methods
Prager, Raphael Patrick; Seiler, Moritz Vinzent; Trautmann, Heike; Kerschke, Pascal (2022)
In: Rudolph, Günter; Kononova, Anna V.; Aguirre, Hernán; Kerschke, Pascal; Ochoa, Gabriela; Tušar, Tea (eds.), Parallel Problem Solving from Nature -- PPSN XVII. Cham: Springer International Publishing.
Research article in edited proceedings (conference)
A Study on the Effects of Normalized TSP Features for Automated Algorithm Selection
Heins, Jonathan; Bossek, Jakob; Pohl, Janina Susanne; Seiler, Moritz Vincent; Trautmann, Heike; Kerschke, Pascal (2022)
In: Theoretical Computer Science, 940.
Research article (journal)
Show all publications

Projects

Joint Research Project: Real-time detection and analysis of hybrid disinformation campaigns in online media (HybriD) (HybriD)
Duration: 01/10/2021 - 30/09/2024
Funded by: Federal Ministry of Research, Technology and Space
Type of project: Participation in federally funded joint project
Detection & Analysis of Social Bots in 2021 (SocialBots2021)
Duration: 01/07/2021 - 30/11/2021
Funded by: Federal Office for Information Security
Type of project: Participation in federally funded joint project