References

Fieguth, P. (2022). An Introduction to Pattern Recognition and Machine Learning Springer.

Fieguth, P. (2021). An Introduction to Complex Systems (2nd Edition) Springer.

Liu, L., Ouyang, W., Wang, X., Fieguth, P., Chen, J., Liu, X., & Pietikäinen, M. (2020). Deep learning for generic object detection: A survey International Journal of Computer Vision, 128, 261-318.

Ecclestone, B. R., Bell, K., Abbasi, S., Dinakaran, D., van Landeghem, F. K., Mackey, J. R., … Reza, P. H. (2020). Improving maximal safe brain tumor resection with photoacoustic remote sensing microscopy Scientific Reports, 10, 1-7.

Shafiee, M. J., Jeddi, A., Nazemi, A., Fieguth, P., & Wong, A. (2020). Deep Neural Network Perception Models and Robust Autonomous Driving Systems ArXiv Preprint ArXiv:2003.08756.

Carrington, A. M., Fieguth, P. W., Qazi, H., Holzinger, A., Chen, H. H., Mayr, F., & Manuel, D. G. (2020). A new concordant partial AUC and partial c statistic for imbalanced data in the evaluation of machine learning algorithms BMC Medical Informatics and Decision Making, 20, 1-12.

Shafiee, M. J., Jeddi, A., Nazemi, A., Fieguth, P., & Wong, A. (2020). Deep Neural Network Perception Models and Robust Autonomous Driving Systems ArXiv, arXiv-2003.

Abdar, M., Pourpanah, F., Hussain, S., Rezazadegan, D., Liu, L., … Ghavamzadeh, M. (2020). A review of uncertainty quantification in deep learning: Techniques, applications and challenges ArXiv Preprint ArXiv:2011.06225.

Shafiee, M. J., Jeddi, A., Nazemi, A., Fieguth, P., & Wong, A. (2020). Deep Neural Network Perception Models and Robust Autonomous Driving Systems: Practical Solutions for Mitigation and Improvement IEEE Signal Processing Magazine, 38, 22-30.

Naiel, M. A., Ertay, D. S., Vlasea, M., & Fieguth, P. (2020). Adaptive vision-based detection of laser-material interaction for directed energy deposition Additive Manufacturing, 36, 101468.