| Predicting personality from patterns of behavior collected with smartphones C Stachl, Q Au, R Schoedel, SD Gosling, GM Harari, D Buschek, ... Proceedings of the National Academy of Sciences 117 (30), 17680-17687, 2020 | 322 | 2020 |
| mlr3: A modern object-oriented machine learning framework in R M Lang, M Binder, J Richter, P Schratz, F Pfisterer, S Coors, Q Au, ... Journal of Open Source Software 4 (44), 1903, 2019 | 276 | 2019 |
| Personality traits predict smartphone usage C Stachl, S Hilbert, JQ Au, D Buschek, A De Luca, B Bischl, H Hussmann, ... European Journal of Personality 31 (6), 701-722, 2017 | 158 | 2017 |
| Digital footprints of sensation seeking R Schoedel, Q Au, ST Völkel, F Lehmann, D Becker, M Bühner, B Bischl, ... Zeitschrift für Psychologie, 2019 | 57 | 2019 |
| To challenge the morning lark and the night owl: Using smartphone sensing data to investigate day–night behaviour patterns R Schoedel, F Pargent, Q Au, ST Völkel, T Schuwerk, M Bühner, C Stachl European Journal of Personality 34 (5), 733-752, 2020 | 54 | 2020 |
| Grouped feature importance and combined features effect plot Q Au, J Herbinger, C Stachl, B Bischl, G Casalicchio Data Mining and Knowledge Discovery, 2022 | 39 | 2022 |
| mlr3: A modern object-oriented machine learning framework in RJ Open Source Softw M Lang, M Binder, J Richter, P Schratz, F Pfisterer, S Coors, Q Au, ... | 32 | 2019 |
| Multilabel classification with R package mlr P Probst, Q Au, G Casalicchio, C Stachl, B Bischl arXiv preprint arXiv:1703.08991, 2017 | 31 | 2017 |
| Enter the wild: Autistic traits and their relationship to mentalizing and social interaction in everyday life T Schuwerk, LJ Kaltefleiter, JQ Au, A Hoesl, C Stachl Journal of Autism and Developmental Disorders 49, 4193-4208, 2019 | 28 | 2019 |
| Opportunities and challenges of utilizing personality traits for personalization in HCI ST Völkel, R Schödel, D Buschek, C Stachl, Q Au, B Bischl, M Bühner, ... Personalized Human-Computer Interaction 31, 2019 | 23 | 2019 |
| I Drive My Car and My States Drive Me: Visualizing Driver's Emotional and Physical States ST Völkel, J Graefe, R Schödel, R Häuslschmid, C Stachl, Q Au, ... Adjunct Proceedings of the 10th International Conference on Automotive User …, 2018 | 17 | 2018 |
| mlr3: Machine learning in R—Next generation M Lang, B Bischl, J Richter, P Schratz, G Casalicchio, S Coors, Q Au, ... | 7 | 2020 |
| Fxtract: Feature extraction from grouped data Q Au, C Stachl, R Schoedel, T Ullmann, A Hofheinz R Package Version 0.9 2, 2019 | 6 | 2019 |
| Behavioral patterns in smartphone usage predict Big Five personality traits. PsyArXiv C Stachl, Q Au, R Schoedel, D Buschek, S Völkel, T Schuwerk, ... | 6 | 2019 |
| The phonestudy project C Stachl, R Schoedel, Q Au, S Völkel, D Buschek, H Hussmann, ... Open Science Framework, 2018 | 6 | 2018 |
| Component-wise boosting of targets for multi-output prediction Q Au, D Schalk, G Casalicchio, R Schoedel, C Stachl, B Bischl arXiv preprint arXiv:1904.03943, 2019 | 3 | 2019 |
| Challenges in machine learning for predicting psychological attributes from smartphone data JQ Au lmu, 2024 | | 2024 |
| 11th Consumer Barometer of Renewable Energies S Gahrens, P Beatrice, R Wüstenhagen, ST Völkel, R Schödel, D Buschek, ... Sort 40 (60), 80, 2021 | | 2021 |
| “Predicting personality from patterns of behavior collected with smartphones": Correction. C Stachi, Q Au, R Schoedel, SD Gosling, GM Harari, D Buschek, ... National Academy of Sciences, 2021 | | 2021 |
| Automatic Personalization in Automotive Context: Trade-off Between Disclosed Data and Added Value R Schoedel, S Völkel, Q Au, M Bühner, C Stachl OSF, 2017 | | 2017 |
