M. Sc. Minh Tuan Pham

Methods for Intelligent Interactive Systems (I2S)

Pham Minh, Tuan
+49 561 804-6017
+49 561 804-6022
Wilhelmshöher Allee 73
34121 Kassel
WA-altes Gebäude (WA 73), ohne Raumangabe


2022[ to top ]
  • Stream-Based Active Learning in Changing Environments under Verification Latency. Pham, Tuan. In Organic Computing -- Doctoral Dissertation Colloquium 2021, S. Tomforde, C. Krupitzer (reds.), bll 152–164. kassel university press, 2022.
2021[ to top ]
  • Stream-Based Active Learning for Sliding Windows Under Verification Latency. Pham, Tuan; Kottke, Daniel; Krempl, Georg; Sick, Bernhard. In Machine Learning. Springer, 2021.
  • Statistical Analysis of Pairwise Connectivity. Krempl, Georg; Kottke, Daniel; Pham, Tuan. In International Conference on Discovery Science (DS), Lecture Notes in Computer Science, bll 138–148. Springer, 2021.
  • scikit-activeml: A Library and Toolbox for Active Learning Algorithms. Kottke, Daniel; Herde, Marek; Minh, Tuan Pham; Benz, Alexander; Mergard, Pascal; Roghman, Atal; Sandrock, Christoph; Sick, Bernhard. In Preprints, bl 2021030194. 2021.
2020[ to top ]
  • Improving Self-Adaptation For Multi-Sensor Activity Recognition with Active Learning. Pham Minh, T.; Kottke, D.; Tsarenko, A.; Gruhl, C.; Sick, B. In International Joint Conference on Neural Networks (IJCNN). IEEE, 2020.
2019[ to top ]
  • Tree Species Classification Based on Hybrid Ensembles of a Convolutional Neural Network (CNN) and Random Forest Classifiers. Knauer, Uwe; Styp von Rekowski, Cornelius; Stecklina, Marianne; Krokotsch, Tilman; Pham Minh, Tuan; Hauffe, Viola; Kilias, David; Ehrhardt, Ina; Sagischewski, Herbert; Chmara, Sergej; Seiffert, Udo. In Remote Sensing, 11(23), bl 2788. MDPI, 2019.
2016[ to top ]
  • Probabilistic Active Learning for Active Class Selection. Kottke, D.; Krempl, G.; Stecklina, M.; Styp von Rekowski, C.; Sabsch, T.; Pham Minh, T.; Deliano, M.; Spiliopoulou, M.; Sick, B. In Workshop on the Future of Interactive Learning Machines, NIPS, bll 1–9. Barcelona, Spain, 2016.