@article{rezazadeh2025SSCI,
 author = {Farzad Rezazadeh P and Emad Olfatbakhsh and Andreas Kroll},
 journal = {2025 IEEE Symposium Series on Computational Intelligence (SSCI)},
 mrtnote = {peer},
 note = {submitted},
 owner = {rezazadeh},
 title = {Sign Diversity: A Method for Measuring Diversity in Base
Learner Selection for Ensemble
Regression},
 year = {2025}
}

@inproceedings{Rezazadeh2024GMA,
 address = {Berlin, Germany},
 author = {Farzad Rezazadeh P and Amin Abrishambaf and Axel Dürrbaum
and Gregor Zimmermann and Andreas
Kroll},
 booktitle = {34. Workshop Computational Intelligence},
 doi = {10.5445/KSP/1000174544},
 language = {english},
 month = {21.--22. November},
 mrtnote = {nopeer,presenter:Rezazadeh,EEpBeton},
 owner = {fr},
 pages = {143--148},
 publisher = {KIT Scientific Publishing},
 title = {Investigating Reproducibility of Ultra-High Performance
Concrete with Consistent Mechanical Properties: A Modeling
Pipeline for Sparse Data in Complex
Manufacturing},
 url = {https://doi.org/10.5445/KSP/1000174544},
 year = {2024}
}

@article{Rezazadeh2024pipeline,
 author = {Farzad Rezazadeh P and Amin Abrishambaf and Axel Dürrbaum
and Gregor Zimmermann and Andreas
Kroll},
 journal = {Engineering Applications of Artificial Intelligence},
 mrtnote = {peer},
 note = {submitted},
 owner = {rezazadeh},
 title = {An Automated Modeling Pipeline for Investigating
Consistency in the Mechanical Properties of Ultra-High
Performance
Concrete},
 year = {2024}
}

@inproceedings{RezazadehGMA2023,
 address = {Berlin, Germany},
 author = {Farzad Rezazadeh and Axel Dürrbaum and Gregor Zimmermann and Andreas Kroll},
 booktitle = {33. Workshop Computational Intelligence},
 doi = {10.5445/KSP/1000162754},
 language = {english},
 month = {23.--24. November},
 mrtnote = {nopeer,presenter:Rezazadeh,EEpBeton},
 owner = {fr},
 pages = {215--237},
 publisher = {KIT Scientific Publishing},
 title = {Holistic Modeling of Ultra-High Performance Concrete
Production Process: Synergizing Mix Design
Fresh Concrete Properties
and Curing
Conditions},
 url = {https://doi.org/10.5445/KSP/1000162754},
 year = {2023}
}

@inproceedings{RezazadehSSCI2023,
 address = {Mexico City, Mexico},
 author = {Farzad Rezazadeh and Axel Dürrbaum and Gregor Zimmermann and Andreas Kroll},
 booktitle = {2023 IEEE Symposium Series on Computational Intelligence (SSCI)},
 doi = {10.1109/SSCI52147.2023.10371800},
 language = {english},
 month = {5.-8. Dezember},
 mrtnote = {peer,EEpBeton},
 owner = {fr},
 pages = {180-187},
 title = {Leveraging Ensemble Structures to Elucidate the Impact of
Factors that Influence the Quality of Ultra–High
Performance
Concrete},
 url = {https://ieeexplore.ieee.org/document/10371800},
 year = {2023}
}

@inproceedings{2023-ad_fr_ak_-Senors_2023-SFT_Camera,
 address = {Vienna, Austria},
 author = {Axel Dürrbaum and Farzad Rezazadeh and Andreas
Kroll},
 booktitle = {IEEE Sensors 2023},
 doi = {10.1109/SENSORS56945.2023.10325030},
 language = {english},
 month = {30. October},
 mrtnote = {peer,presenter:Dürrbaum,EEpBeton},
 organization = {IEEE},
 owner = {duerrbaum},
 title = {Automatic Camera-based advanced Slump FlowTesting
for Improved Reliability},
 url = {https://ieeexplore.ieee.org/document/10325030},
 year = {2023}
}

@inproceedings{RezazadehGMACI2022,
 address = {Berlin, Germany},
 author = {Farzad Rezazadeh and Andreas Kroll},
 booktitle = {32. Workshop Computational Intelligence},
 date = {2022},
 doi = {10.5445/KSP/1000151141},
 location = {Berlin},
 month = {1.-2. December},
 mrtnote = {nopeer,EEpBeton},
 organization = {GMA-FA 5.14},
 owner = {rezazadeh},
 pages = {53--75},
 publisher = {KIT Scientific Publishing},
 timestamp = {2021.08.24},
 title = {Predicting the compressive strength of concrete up to 28
days-ahead: Comparison of machine learning algorithms on
benchmark
datasets},
 url = {https://doi.org/10.5445/KSP/1000151141},
 year = {2022}
}