piwik-script

Intern
    Data Science Chair

    Daniel Schlör, M.Sc.

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

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

    Phone: (+49 931)  31 - 84564

    Office: Room B109 (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.

    Teaching

    Publications

    • Extracting Semantics from Unconstrained Navigation on Wikipedia. Niebler, Thomas; Schlör, Daniel; Becker, Martin; Hotho, Andreas in KI -- Künstliche Intelligenz (2016). 30(2) 163–168.
       
    • Flow-based network traffic generation using Generative Adversarial Networks. Ring, Markus; Schlör, Daniel; Landes, Dieter; Hotho, Andreas in Comput. Secur. (2019). 82 156–172.
       
    • iNALU: Improved Neural Arithmetic Logic Unit. Schlör, Daniel; Ring, Markus; Hotho, Andreas in Frontiers in Artificial Intelligence (2020). 3 71.
       
    • Financial Fraud Detection with Improved Neural Arithmetic Logic Units Schlör, Daniel; Ring, Markus; Krause, Anna; Hotho, Andreas (2020). (Vol. Fifth Workshop on MIning DAta for financial applicationS)
       
    • Improving Sentiment Analysis with Biofeedback Data. Schlör, Daniel; Zehe, Albin; Kobs, Konstantin; Veseli, Blerta; Westermeier, Franziska; Brübach, Larissa; Roth, Daniel; Latoschik, Marc Erich; Hotho, Andreas (2020). 28–33.
       
    • Straight Talk! Automatic Recognition of Direct Speech in Nineteenth-Century French Novels. Schöch, Christof; Schlör, Daniel; Popp, Stefanie; Brunner, Annelen; Henny, Ulrike; Tello, José Calvo (2016). 346–353.
       
    • Burrows’ Zeta: Exploring and Evaluating Variants and Parameters. Schöch, Christof; Schlör, Daniel; Zehe, Albin; Gebhard, Henning; Becker, Martin; Hotho, Andreas (2018). 274–277.
       
    • Neutralising the Authorial Signal in Delta by Penalization: Stylometric Clustering of Genre in Spanish Novels. Tello, José Calvo; Schlör, Daniel; Henny-Krahmer, Ulrike; Schöch, Christof R. Lewis, C. Raynor, D. Forest, M. Sinatra, S. Sinclair (reds.) (2017).
       
    • Evaluation of Post-hoc XAI Approaches Through Synthetic Tabular Data. Tritscher, Julian; Ring, Markus; Schlör, Daniel; Hettinger, Lena; Hotho, Andreas in Lecture Notes in Computer Science, D. Helic, G. Leitner, M. Stettinger, A. Felfernig, Z. W. Ras (reds.) (2020). (Vol. 12117) 422–430.
       
    • A White-Box Model for Detecting Author Nationality by Linguistic Differences in Spanish Novels. Zehe, Albin; Schlör, Daniel; Henny-Krahmer, Ulrike; Becker, Martin; Hotho, Andreas (2018).