Sequential Pattern Mining of Multimodal Streams in the Humanities. - Marwan Hassani; Christian Beecks; Daniel Töws; Tatiana Serbina; Max Haberstroh; Paula Niemietz; Sabina Jeschke; Stella Neumann; Thomas Seidl 001 (BTW, 2015)

Optimizing Sequential Pattern Mining Within Multiple Streams. - Daniel Töws; Marwan Hassani; Christian Beecks; Thomas Seidl 001 (BTW Workshops, 2015)

Wireless channel measurement data sets for reproducible performance evaluation in industrial environments. - Dimitri Block; Niels Hendrik Fliedner; Daniel Toews; Uwe Meier (ETFA, 2015)

Mining Sequential Patterns of Event Streams in a Smart Home Application. - Marwan Hassani; Christian Beecks; Daniel Töws; Thomas Seidl 001 (LWA, 2015)

Implementation of efficient real-time industrial wireless interference identification algorithms with fuzzified neural networks. - Dimitri Block; Daniel Toews; Uwe Meier (EUSIPCO, 2016)

Understanding the bigger picture: batch-free exploration of streaming sequential patterns with accurate prediction. - Marwan Hassani; Daniel Töws; Thomas Seidl 001 (SAC, 2017)

Research on NLP for RE at Fraunhofer FKIE: A Report on Grouping Requirements. - Daniel Toews; Timm Heuss (REFSQ Workshops, 2018)

Detection of Defective Requirements using Rule-based Scripts. - Hussein Hasso; Michael Dembach; Hanna Geppert; Daniel Toews (REFSQ Workshops, 2019)

Determining Domain-Specific Differences of Polysemous Words Using Context Information. - Daniel Toews; Leif Van Holland (REFSQ Workshops, 2019)

BFSPMiner: an effective and efficient batch-free algorithm for mining sequential patterns over data streams. - Marwan Hassani; Daniel Töws; Alfredo Cuzzocrea; Thomas Seidl 001 (Int. J. Data Sci. Anal., 2019)