Topic, Genre, Text. - Christof Schöch; Ulrike Henny; José Calvo Tello; Daniel Schlör; Stefanie Popp (DHd, 2016)

Straight Talk! Automatic Recognition of Direct Speech in Nineteenth-Century French Novels. - Christof Schöch; Daniel Schlör; Stefanie Popp; Annelen Brunner; Ulrike Henny; José Calvo Tello (DH, 2016)

Extracting Semantics from Unconstrained Navigation on Wikipedia. - Thomas Niebler; Daniel Schlör; Martin Becker 003; Andreas Hotho (Künstliche Intell., 2016)

Neutralising the Authorial Signal in Delta by Penalization: Stylometric Clustering of Genre in Spanish Novels. - José Calvo Tello; Daniel Schlör; Ulrike Henny-Krahmer; Christof Schöch (DH, 2017)

Alternative Gattungstheorien: Das Prototypenmodell am Beispiel hispanoamerikanischer Romane. - Ulrike Henny-Krahmer; Katrin Betz; Daniel Schlör; Andreas Hotho (DHd, 2018)

Burrows' Zeta: Exploring and Evaluating Variants and Parameters. - Christof Schöch; Daniel Schlör; Albin Zehe; Henning Gebhard; Martin Becker 003; Andreas Hotho (DH, 2018)

A White-Box Model for Detecting Author Nationality by Linguistic Differences in Spanish Novels. - Albin Zehe; Daniel Schlör; Ulrike Henny-Krahmer; Martin Becker 003; Andreas Hotho (DH, 2018)

Multimedia aus Rezipientenperspektive: Wirkungsmessung anhand von Biofeedback. - Daniel Schlör; Blerta Veseli; Andreas Hotho (DHd, 2019)

Flow-based network traffic generation using Generative Adversarial Networks. - Markus Ring; Daniel Schlör; Dieter Landes; Andreas Hotho (Comput. Secur., 2019)

Evaluation of Post-hoc XAI Approaches Through Synthetic Tabular Data. - Julian Tritscher; Markus Ring; Daniel Schlör; Lena Hettinger; Andreas Hotho (ISMIS, 2020)

Financial Fraud Detection with Improved Neural Arithmetic Logic Units. - Daniel Schlör; Markus Ring; Anna Krause; Andreas Hotho (MIDAS@PKDD/ECML, 2020)

iNALU: Improved Neural Arithmetic Logic Unit. - Daniel Schlör; Markus Ring; Andreas Hotho (Frontiers Artif. Intell., 2020)

A financial game with opportunities for fraud. - Julian Tritscher; Anna Krause; Daniel Schlör; Fabian Gwinner; Sebastian von Mammen; Andreas Hotho (CoG, 2021)

Malware detection on windows audit logs using LSTMs. - Markus Ring; Daniel Schlör; Sarah Wunderlich; Dieter Landes; Andreas Hotho (Comput. Secur., 2021)

Towards Explainable Occupational Fraud Detection. - Julian Tritscher; Daniel Schlör; Fabian Gwinner; Anna Krause; Andreas Hotho (PKDD/ECML Workshops (2), 2022)

Open ERP System Data For Occupational Fraud Detection. - Julian Tritscher; Fabian Gwinner; Daniel Schlör; Anna Krause; Andreas Hotho (CoRR, 2022)

Towards Responsible Medical Diagnostics Recommendation Systems. - Daniel Schlör; Andreas Hotho (CoRR, 2022)

Detecting Anomalies in Transaction Data. - Daniel Schlör (2022)

Enhancing Sequential Next-Item Prediction through Modelling Non-Item Pages. - Elisabeth Fischer; Daniel Schlör; Albin Zehe; Andreas Hotho (ICDM (Workshops), 2023)

Optimizing Medical Service Request Processes through Language Modeling and Semantic Search. - Daniel Schlör; Jan Pfister; Andreas Hotho (ICMHI, 2023)

Liquor-HGNN: A heterogeneous graph neural network for leakage detection in water distribution networks. - Melanie Schaller; Michael Steininger; Andrzej Dulny; Daniel Schlör; Andreas Hotho (LWDA, 2023)

Occupational Fraud Detection Through Agent-Based Data Generation. - Julian Tritscher; Alexander Roos; Daniel Schlör; Andreas Hotho; Anna Krause (PKDD/ECML Workshops (5), 2023)

CapsKG: Enabling Continual Knowledge Integration in Language Models for Automatic Knowledge Graph Completion. - Janna Omeliyanenko; Albin Zehe; Andreas Hotho; Daniel Schlör (ISWC, 2023)

Evaluating Feature Relevance XAI in Network Intrusion Detection. - Julian Tritscher; Maximilian Wolf; Andreas Hotho; Daniel Schlör (xAI (1), 2023)

Data Generation for Explainable Occupational Fraud Detection. - Julian Tritscher; Maximilian Wolf; Anna Krause; Andreas Hotho; Daniel Schlör (KI, 2024)

PreAdapter: Pre-training Language Models on Knowledge Graphs. - Janna Omeliyanenko; Andreas Hotho; Daniel Schlör (ISWC (2), 2024)

Generative Inpainting for Shapley-Value-Based Anomaly Explanation. - Julian Tritscher; Philip Lissmann; Maximilian Wolf; Anna Krause; Andreas Hotho; Daniel Schlör (xAI (1), 2024)

Benchmarking of synthetic network data: Reviewing challenges and approaches. - Maximilian Wolf; Julian Tritscher; Dieter Landes; Andreas Hotho; Daniel Schlör (Comput. Secur., 2024)

ModeConv: A Novel Convolution for Distinguishing Anomalous and Normal Structural Behavior. - Melanie Schaller; Daniel Schlör; Andreas Hotho (CoRR, 2024)

Modeling and Analyzing the Influence of Non-Item Pages on Sequential Next-Item Prediction. - Elisabeth Fischer; Daniel Schlör; Albin Zehe; Andreas Hotho (CoRR, 2024)

Systematic Evaluation of Synthetic Data Augmentation for Multi-class NetFlow Traffic. - Maximilian Wolf; Dieter Landes; Andreas Hotho; Daniel Schlör (CoRR, 2024)

We Need to Rethink Benchmarking in Anomaly Detection. - Philipp Röchner; Simon Klüttermann; Franz Rothlauf; Daniel Schlör (CoRR, 2025)