M. Sc. Minh Tuan Pham
Methods for Intelligent Interactive Systems (I2S)
- Telephone
- +49 561 804-6017
- tuan.pham[at]uni-kassel[dot]de
- Location
- Wilhelmshöher Allee 73
34121 Kassel
- Room
- WA-altes Gebäude (WA 73), ohne Raumangabe
Publications
2023[ to top ]
- Active Label Refinement for Semantic Segmentation of Satellite Images. . In arXiv e-prints, bl arXiv:2309.06159. 2023.
2022[ to top ]
- Stream-Based Active Learning in Changing Environments under Verification Latency. . In Organic Computing -- Doctoral Dissertation Colloquium 2021, S. Tomforde, C. Krupitzer (reds.), bll 152–164. kassel university press, 2022.
- Stream-based active learning for sliding windows under the influence of verification latency. . In Machine Learning, 111(6), bll 2011–2036. Springer, 2022.
2021[ to top ]
- Statistical Analysis of Pairwise Connectivity. . 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. . In Preprints, bl 2021030194. 2021.
2020[ to top ]
- Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar. . In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2020.
- Improving Self-Adaptation For Multi-Sensor Activity Recognition with Active Learning. . 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. . In Remote Sensing, 11(23), bl 2788. MDPI, 2019.
- Generative Adversarial Networks for Operational Scenario Planning of Renewable Energy Farms: A Study on Wind and Photovoltaic. . In International Conference on Artificial Neural Networks and Machine Learning (ICANN): Image Processing, bll 550–564. Springer, Cham, 2019.
2017[ to top ]
- Identifying Representative Load Time Series for Load Flow Calculations. . In Workshop on Data Analytics for Renewable Energy Integration (DARE), ECML PKDD, bll 83–93. Springer, Cham, Switzerland, 2017.
2016[ to top ]
- Probabilistic Active Learning for Active Class Selection. . In Workshop on the Future of Interactive Learning Machines, NIPS, bll 1–9. Barcelona, Spain, 2016.
- Generative Exponential Smoothing and Generative ARMA Models to Forecast Time-Variant Rates or Probabilities. . In International Work-Conference on Time Series (ITISE): Selected Contributions, bll 75–88. Springer, Cham, Switzerland, 2016.
2015[ to top ]
- Track-Based Forecasting of Pedestrian Behavior by Polynomial Approximation and Multilayer Perceptions. . In SAI Intelligent Systems Conference (IntelliSys), Studies in Computational Intelligence, bll 259–279. Springer, Cham, Switzerland, 2015.