| Show me your friends and i’ll tell you who you are. finding anomalous time series by conspicuous cluster transitions M Tatusch, G Klassen, M Bravidor, S Conrad Australasian Conference on Data Mining, 91-103, 2019 | 11 | 2019 |
| Cluster-based stability evaluation in time series data sets G Klassen, M Tatusch, S Conrad Applied Intelligence 53 (13), 16606-16629, 2023 | 9 | 2023 |
| Fuzzy clustering stability evaluation of time series G Klassen, M Tatusch, L Himmelspach, S Conrad International Conference on Information Processing and Management of …, 2020 | 9 | 2020 |
| Evaluating machine learning algorithms in predicting financial restatements G Klassen, M Tatusch, W Huo, S Conrad 2020 The 4th International Conference on Business and Information Management …, 2020 | 6 | 2020 |
| How is your team spirit? Cluster over-time stability evaluation M Tatusch, G Klassen, M Bravidor, S Conrad 16th international conference on machine learning and data mining, machine …, 2020 | 6 | 2020 |
| Feature-Based Approach for Severity Scoring of Lung Tuberculosis from CT Images. K Bogomasov, L Himmelspach, G Klassen, M Tatusch, S Conrad CLEF (Working Notes), 2018 | 6 | 2018 |
| Predicting erroneous financial statements using a density-based clustering approach M Tatusch, G Klassen, M Bravidor, S Conrad 2020 The 4th International Conference on Business and Information Management …, 2020 | 5 | 2020 |
| Illuminating the predictive power of gamification to inspire technology users S Weber, G Klassen, M Wyszynski, B Kordyaka GI, 2023 | 4 | 2023 |
| Behave or be detected! Identifying outlier sequences by their group cohesion M Tatusch, G Klassen, S Conrad International Conference on Big Data Analytics and Knowledge Discovery, 333-347, 2020 | 3 | 2020 |
| Clustering of time series regarding their over-time stability G Klassen, M Tatusch, S Conrad 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 1051-1058, 2020 | 2 | 2020 |
| Loners stand out. Identification of anomalous subsequences based on group performance M Tatusch, G Klassen, S Conrad Advanced Data Mining and Applications: 16th International Conference, ADMA …, 2020 | 2 | 2020 |
| Alone We Can Do So Little; Together We Cannot Be Detected S Korlakov, G Klassen, M Bravidor, S Conrad Engineering Proceedings 18 (1), 3, 2022 | 1 | 2022 |
| Multi-Objective Optimisation for the Selection of Clusterings across Time S Korlakov, G Klassen, LT Bauer, S Conrad Engineering Proceedings 68 (1), 48, 2024 | | 2024 |
| Overcoming Inefficiency in Public Procurement: An OpenData Approach G Klassen, R Palombo, LT Bauer, B Niehaves Gesellschaft für Informatik eV, 2023 | | 2023 |
| The Saliency of Dispositions: Personality Traits, Anger. and Aggression as Antecedents of Toxicity in Multiplayer Online Battle Arena Games B Kordyaka, S Laato, S Weber, G Klassen | | 2023 |
| Decoding Gamification: A Randomized Within-Subjects Experiment on Affordances B Kordyaka, S Weber, G Klassen, B Niehaves | | 2023 |
| Alone We Can Do So Little; Together We Cannot Be Detected. Eng. Proc. 2022, 18, 3 S Korlakov, G Klassen, M Bravidor, S Conrad s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022 | | 2022 |
| Pattern Discovery in Time Series G Klassen | | 2021 |
| Anwendungsgebiete für die automatisierte Informationsgewinnung aus Bildern S Conrad, M Tatusch, K Bogomasov, G Klassen Episteme in Bewegung, 85, 2020 | | 2020 |
| Shape Based Outlier Detection in SLIC Superpixels G Klassen, M Singhof | | 2017 |
Stefan ConradProfessor für Informatik, Universität Düsseldorf在 acm.org 的电子邮件经过验证
