Data Science Chair

    Daniel Schlör, M.Sc.

    Chair of Data Science (Informatik X)
    University of Würzburg
    Am Hubland
    97074 Würzburg

    Email: daniel.schloer@informatik.uni-wuerzburg.de

    Phone: (+49 931)  31 - 84564

    Office: Room B103 (Computer Science Building M2)

    Projects and Research Interests

    My main research interests are machine learning, anomaly detection in the fields of cybersecurity and fraud detection and textmining and their application to digital humanities. Currently I'm working on deep learning models able to capture mathematical and other relationships within data.

    In addition to my affiliation with the DMIR research group I have been a member of the CLiGS – Computational Literary Genre Stylistics research group, working in the field of Digital Humanities.




    • Evaluation of Post-hoc XA... - Download
      Tritscher, J., Ring, M., Schlör, D., Hettinger, L., Hotho, A. (2020) “Evaluation of Post-hoc XAI Approaches Through Synthetic Tabular Data.”, in Helic, D., Leitner, G., Stettinger, M., Felfernig, A. and Ras, Z.W., eds., ISMIS, Lecture Notes in Computer Science, Springer, 422–430, available: http://dblp.uni-trier.de/db/conf/ismis/ismis2020.html#TritscherRSHH20.
    • Improving Sentiment Analy... - Download
      Schlör, D., Zehe, A., Kobs, K., Veseli, B., Westermeier, F., Brübach, L., Roth, D., Latoschik, M.E., Hotho, A. (2020) “Improving Sentiment Analysis with Biofeedback Data”, in Proceedings of LREC2020 Workshop ``People in Language, Vision and the mind’’ (ONION2020), European Language Resources Association (ELRA): Marseille, France, 28–33, available: https://www.aclweb.org/anthology/2020.onion-1.5.
    • iNALU: Improved Neural Ar... - Download
      Schlör, D., Ring, M., Hotho, A. (2020) “iNALU: Improved Neural Arithmetic Logic Unit”, Frontiers in Artificial Intelligence, 3, 71, available: https://www.frontiersin.org/article/10.3389/frai.2020.00071.
    • Financial Fraud Detection... - Download
      Schlör, D., Ring, M., Krause, A., Hotho, A. (2020) Financial Fraud Detection With Improved Neural Arithmetic Logic Units.


    • Flow-based network traffi... - Download
      Ring, M., Schlör, D., Landes, D., Hotho, A. (2019) “Flow-based network traffic generation using Generative Adversarial Networks.”, Comput. Secur., 82, 156–172, available: http://dblp.uni-trier.de/db/journals/compsec/compsec82.html#RingSLH19.


    • A White-Box Model for Det... - Download
      Zehe, A., Schlör, D., Henny-Krahmer, U., Becker, M., Hotho, A. (2018) “A White-Box Model for Detecting Author Nationality by Linguistic Differences in Spanish Novels”, in DH, ADHO.
    • Burrows’ Zeta: Explorin... - Download
      Schöch, C., Schlör, D., Zehe, A., Gebhard, H., Becker, M., Hotho, A. (2018) “Burrows’ Zeta: Exploring and Evaluating Variants and Parameters”, in DH, 274–277, available: http://dblp.uni-trier.de/db/conf/dihu/dh2018.html#SchochSZG0H18.


    • Neutralising the Authoria... - Download
      Tello, J.C., Schlör, D., Henny-Krahmer, U., Schöch, C. (2017) “Neutralising the Authorial Signal in Delta by Penalization: Stylometric Clustering of Genre in Spanish Novels.”, in Lewis, R., Raynor, C., Forest, D., Sinatra, M. and Sinclair, S., eds., DH, Alliance of Digital Humanities Organizations (ADHO), available: http://dblp.uni-trier.de/db/conf/dihu/dh2017.html#TelloSHS17.


    • Straight Talk! Automatic ... - Download
      Schöch, C., Schlör, D., Popp, S., Brunner, A., Henny, U., Tello, J.C. (2016) “Straight Talk! Automatic Recognition of Direct Speech in Nineteenth-Century French Novels.”, in DH, 346–353.
    • Niebler, T., Schlör, D., Becker, M., Hotho, A. (2016) “Extracting Semantics from Unconstrained Navigation on Wikipedia”, KI -- Künstliche Intelligenz, 30(2), 163–168.