1. 2018
  2. Neocleous, A. C., Syngelaki, A., Nicolaides, K. H., & Schizas, C. N. (2018). Two-stage approach for risk estimation of fetal trisomy 21 and other aneuploidies using computational intelligence systems. In 29th World Congress on ultrasound in obstetrics and gynecology (4 ed., pp. 503-508). (Ultrasound in Obstetrics & Gynecology; Vol. 51). Wiley. https://doi.org/10.1002/uog.17558
  3. Dijkhuis, T., Blok, J., & Velthuijsen, H. (2018). Virtual Coach: Predict Physical Activity Using a Machine Learning Approach. Paper presented at eTELEMED 2018, Rome, Italy.
  4. van der Meulen, P., Wolf, B., Pirih, P., & van Netten, S. (2018). Performance of Neural Networks in Source Localization using Artificial Lateral Line Sensor Configurations. Poster session presented at ICT OPEN 2018: The Interface for Dutch ICT-Research, Amersfoort, Netherlands.
  5. Arvanitou, E. M., Ampatzoglou, A., Tzouvalidis, K., Chatzigeorgiou, A., Avgeriou, P., & Deligiannis, I. (2018). Assessing change proneness at the architecture level: An empirical validation. In 2017 24th Asia-Pacific Software Engineering Conference Workshops, APSECW 2017: Proceedings (pp. 98-105). (Proceedings - 2017 24th Asia-Pacific Software Engineering Conference Workshops, APSECW 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APSECW.2017.21
  6. Dymitruk, M., Markovich, R., Liepiņa, R., El Ghosh, M., van Doesburg, R., Governatori, G., & Verheij, B. (2018). Research in progress: Report on the ICAIL 2017 doctoral . Artificial Intelligence and Law, 26(1), 49-97. https://doi.org/10.1007/s10506-018-9220-6
  7. De Persis, C., Cucuzzella, M., Trip, S., Cheng, X., Ferrara, A., & van der Schaft, A. (2018). A robust consensus algorithm for DC microgrids. 40-40. Abstract from 37th Benelux meeting on Systems and Control, Soesterberg, Netherlands.
  8. De Persis, C., Stegink, T. W., Cherukuri, A., van der Schaft, A., & Cortés, J. (2018). Frequency-driven market mechanisms for optimal power dispatch. 52-52. Abstract from 37th Benelux meeting on Systems and Control, Soesterberg, Netherlands.
  9. Wu, H. C., & van der Schaft, A. (2018). Nonlinear trajectory tracking via incremental passivity. 102-102. Abstract from 37th Benelux meeting on Systems and Control, Soesterberg, Netherlands.
  10. Eising, J., & Camlibel, M. (2018). Optimal control for a class of differential inclusions. 78-78. Abstract from 37th Benelux meeting on Systems and Control, Soesterberg, Netherlands.
  11. Borja Rosales, L. P., Scherpen, J. M. A., & van der Schaft, A. (2018). Passivity-based control of gradient systems. 99-99. Abstract from 37th Benelux meeting on Systems and Control, Soesterberg, Netherlands.
  12. Monshizadeh Naini, P., Machado, J., Ortega, R., & van der Schaft, A. (2018). Power-controlled Hamiltonian systems. 50-50. Abstract from 37th Benelux meeting on Systems and Control, Soesterberg, Netherlands.
  13. Jia, J., Trentelman, H. L., Camlibel, M., & Baar, W. (2018). Strong structural controllability of systems on colored graphs. 63-63. Abstract from 37th Benelux meeting on Systems and Control, Soesterberg, Netherlands.
  14. van Waarde, H., Tesi, P., & Camlibel, M. (2018). Topology reconstruction of dynamical networks via constrained Lyapunov equations. 115-115. Abstract from 37th Benelux meeting on Systems and Control, Soesterberg, Netherlands.
  15. Reyes Báez, R., van der Schaft, A., & Jayawardhana, B. (2018). Virtual differential passivity based control of mechanical systems in the port-Hamiltonian framework. 100-100. Abstract from 37th Benelux meeting on Systems and Control, Soesterberg, Netherlands.
  16. Francalanza, A., Pérez, J. A., & Sánchez, C. (2018). Runtime Verification for Decentralised and Distributed Systems. In E. Bartocci, & Y. Falcone (Eds.), Lectures on Runtime Verification (pp. 176-210). Springer. https://doi.org/10.1007/978-3-319-75632-5_6
  17. Sabatelli, M., Bidoia, F., Codreanu, V., & Wiering, M. (2018). Learning to Evaluate Chess Positions with Deep Neural Networks and Limited Lookahead. Paper presented at 7th International Conference on Pattern Recognition Applications and Methods, Madeira, Portugal.

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