Kucklick, J.-P., &; Müller, O. (2022). Tackling the Accuracy–Interpretability Trade-off: Interpretable Deep Learning Models for Satellite Image-based Real Estate Appraisal. ACM Transactions on Management Information Systems.https://doi.org/10.1145/3567430 

Tagliabue, S., Zambelli, M., Sorgente, A., Sommer, S., Hoellger, C., Buhl, H. M., &; Lanz, M. (2021). Latent Congruence Model to Investigate Similarity and Accuracy in Family Members’ Perception: The Challenge of Cross-National and Cross-Informant Measurement (Non)Invariance. Frontiers in Psychology, 12, Article 672383.https://doi.org/10.3389/fpsyg.2021.672383 

Witschen, L. M., Wiersema, T., Ghasemzadeh Mohammadi, H., Awais, M., &; Platzner, M. (2019). CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation. Microelectronics Reliability, 99, 277–290.https://doi.org/10.1016/j.microrel.2019.04.003 

Witschen, L. M., Wiersema, T., Ghasemzadeh Mohammadi, H., Awais, M., &; Platzner, M. (n.d.). CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation. Third Workshop on Approximate Computing (AxC 2018).

Awais, M., Ghasemzadeh Mohammadi, H., &; Platzner, M. (2018). An MCTS-based Framework for Synthesis of Approximate Circuits. In 26th IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC) (pp. 219–224).https://doi.org/10.1109/VLSI-SoC.2018.8645026 

Drude, L., Chinaev, A., Tran Vu, D. H., &; Haeb-Umbach, R. (2014). Towards Online Source Counting in Speech Mixtures Applying a Variational EM for Complex Watson Mixture Models. In 14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014) (pp. 213–217).

Becker, M., Di Guglielmo, G., Fummi, F., Müller, W., Pravadelli, G., &; Xie, T. (2010). RTOS-Aware Refinement for TLM2.0-based HW/SW Design. Proceedings of DATE’10. Design, Automation &; Test in Europe Conference &; Exhibition (DATE 2010), Dresden.https://doi.org/10.1109/DATE.2010.5456965 

Loog, M., Duin, R. P. W., &; Haeb-Umbach, R. (2001). Multiclass linear dimension reduction by weighted pairwise Fisher criteria. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(7), 762–766.https://doi.org/10.1109/34.935849 

Lieb, M., &; Haeb-Umbach, R. (2000). LDA derived cepstral trajectory filters in adverse environmental conditions. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2000) (Vol. 2, pp. - vol.2).https://doi.org/10.1109/ICASSP.2000.859157