| Issue Date | Title | Involved Person(s) |
| 2016 | Optimising Deep Learning for Infinite Applications in Text Analytics | Cieliebak, Mark |
| 2016 | Deep learning for infinite applications in text analytics | Cieliebak, Mark |
| 2016 | Adverse drug reaction detection using an adapted sentiment classifier | Uzdilli, Fatih; Cieliebak, Mark; Egger, Dominic |
| 2016 | Influence of flipped classroom on technical skills and non-technical competences of IT students | Cieliebak, Mark; Keck Frei, Andrea |
| 2016 | Twitter can help to find adverse drug reactions | Cieliebak, Mark; Egger, Dominic; Uzdilli, Fatih |
| 2015 | Swiss-Chocolate : combining flipout regularization and random forests with artificially built subsystems to boost text-classification for sentiment | Uzdilli, Fatih; Jaggi, Martin; Egger, Dominic; Julmy, Pascal; Derczynski, Leon, et al |
| 2015 | Back to the Future : Time-Travelling-Debugger als Alternative zu klassischen Debuggern | Schutzbach, Daniel; Uzdilli, Fatih; Cieliebak, Mark |
| 2015 | PANOPTES : automated article segmentation of newspaper pages for "Real Time Print Media Monitoring“ | Arnold, Marek; Cieliebak, Mark; Stadelmann, Thilo; Stampfli, Jan; Uzdilli, Fatih |
| 2014 | Meta-classifiers easily improve commercial sentiment detection tools | Cieliebak, Mark; Dürr, Oliver; Uzdilli, Fatih |
| 2014 | Flip your classroom : but be aware! | Cieliebak, Mark |
| 2014 | Auswirkungen von Flipped Classroom auf Fachwissen und Kompetenzen von Studierenden | Cieliebak, Mark |
| 2013 | Applied data science in Europe : challenges for academia in keeping up with a highly demanded topic | Stadelmann, Thilo; Stockinger, Kurt; Braschler, Martin; Cieliebak, Mark; Baudinot, Gerold, et al |
| 2013 | Potential and limitations of commercial sentiment detection tools | Cieliebak, Mark; Dürr, Oliver; Uzdilli, Fatih |
| 2012 | Distributed computing by mobile robots : gathering | Cieliebak, Mark; Flocchini, Paola; Prencipe, Giuseppe; Santoro, Nicola |
| 2011 | Social CRM : vom Hype zum Standard | Cieliebak, Mark |
