Social event network analysis: Structure, preferences, and reality. - Martin Atzmueller; Tom Hanika; Gerd Stumme; Richard Schaller; Bernd Ludwig (ASONAM, 2016)

Some Experimental Results on Randomly Generating Formal Contexts. - Daniel Borchmann; Tom Hanika (CLA, 2016)

On the Usability of Probably Approximately Correct Implication Bases. - Daniel Borchmann; Tom Hanika; Sergei Obiedkov (ICFCA, 2017)

Individuality in Social Networks. - Daniel Borchmann; Tom Hanika (Formal Concept Analysis of Social Networks, 2017)

Towards Collaborative Conceptual Exploration. - Tom Hanika; Jens Zumbrägel (ICCS, 2018)

Clones in Graphs. - Stephan Doerfel; Tom Hanika; Gerd Stumme (ISMIS, 2018)

Intrinsic dimension of concept lattices. - Tom Hanika; Friedrich Martin Schneider; Gerd Stumme (CoRR, 2018)

Clones in Social Networks. - Stephan Doerfel; Tom Hanika; Gerd Stumme (CoRR, 2018)

Intrinsic dimension and its application to association rules. - Tom Hanika; Friedrich Martin Schneider; Gerd Stumme (CoRR, 2018)

Formal Context Generation Using Dirichlet Distributions. - Maximilian Felde; Tom Hanika (ICCS, 2019)

Relevant Attributes in Formal Contexts. - Tom Hanika; Maren Koyda; Gerd Stumme (ICCS, 2019)

DimDraw - A Novel Tool for Drawing Concept Lattices. - Dominik Dürrschnabel; Tom Hanika; Gerd Stumme (ICFCA (Supplements), 2019)

Discovering Implicational Knowledge in Wikidata. - Tom Hanika; Maximilian Marx 001; Gerd Stumme (ICFCA, 2019)

Conexp-Clj - A Research Tool for FCA. - Tom Hanika; Johannes Hirth (ICFCA (Supplements), 2019)

Distances for wifi based topological indoor mapping. - Bastian Schäfermeier; Tom Hanika; Gerd Stumme (MobiQuitous, 2019)

Collaborative Interactive Learning - A clarification of terms and a differentiation from other research fields. - Tom Hanika; Marek Herde; Jochen Kuhn; Jan Marco Leimeister; Paul Lukowicz; Sarah Oeste-Reiß; Albrecht Schmidt 001; Bernhard Sick; Gerd Stumme; Sven Tomforde; Katharina Anna Zweig (CoRR, 2019)

FCA2VEC: Embedding Techniques for Formal Concept Analysis. - Dominik Dürrschnabel; Tom Hanika; Maximilian Stubbemann (CoRR, 2019)

Discovering Knowledge in Bipartite Graphs with Formal Concept Analysis. - Tom Hanika (2019)

Orometric Methods in Bounded Metric Data. - Maximilian Stubbemann; Tom Hanika; Gerd Stumme (IDA, 2020)

Topic Space Trajectories: A case study on machine learning literature. - Bastian Schäfermeier; Gerd Stumme; Tom Hanika (CoRR, 2020)

Probably approximately correct learning of Horn envelopes from queries. - Daniel Borchmann; Tom Hanika; Sergei Obiedkov (Discret. Appl. Math., 2020)

Null Models for Formal Contexts. - Maximilian Felde; Tom Hanika; Gerd Stumme (Inf., 2020)

Dataset of User Study for DimDraw. - Dominik Dürrschnabel; Tom Hanika; Gerd Stumme (Zenodo, 2020)

Quantifying the Conceptual Error in Dimensionality Reduction. - Tom Hanika; Johannes Hirth (ICCS, 2021)

Exploring Scale-Measures of Data Sets. - Tom Hanika; Johannes Hirth (ICFCA, 2021)

Topological Indoor Mapping through WiFi Signals. - Bastian Schäfermeier; Gerd Stumme; Tom Hanika (CoRR, 2021)

Towards Explainable Scientific Venue Recommendations. - Bastian Schäfermeier; Gerd Stumme; Tom Hanika (CoRR, 2021)

Proximity dimensions and the emergence of collaboration: a HypTrails study on German AI research. - Tobias Koopmann; Maximilian Stubbemann; Matthias Kapa; Michael Paris; Guido Buenstorf; Tom Hanika; Andreas Hotho; Robert Jäschke; Gerd Stumme (Scientometrics, 2021)

Topic space trajectories. - Bastian Schäfermeier; Gerd Stumme; Tom Hanika (Scientometrics, 2021)

FCA2VEC: Embedding Techniques for Formal Concept Analysis. - Dominik Dürrschnabel; Tom Hanika; Maximilian Stubbemann (Complex Data Analytics with Formal Concept Analysis, 2022)

Knowledge cores in large formal contexts. - Tom Hanika; Johannes Hirth (Ann. Math. Artif. Intell., 2022)

Mapping Research Trajectories. - Bastian Schäfermeier; Gerd Stumme; Tom Hanika (CoRR, 2022)

Formal Conceptual Views in Neural Networks. - Johannes Hirth; Tom Hanika (CoRR, 2022)

Discovering Locally Maximal Bipartite Subgraphs. - Dominik Dürrschnabel; Tom Hanika; Gerd Stumme (CoRR, 2022)

On the lattice of conceptual measurements. - Tom Hanika; Johannes Hirth (Inf. Sci., 2022)

Automatic Textual Explanations of Concept Lattices. - Johannes Hirth; Viktoria Horn; Gerd Stumme; Tom Hanika (ICCS, 2023)

Scaling Dimension. - Bernhard Ganter; Tom Hanika; Johannes Hirth (ICFCA, 2023)

Selecting Features by their Resilience to the Curse of Dimensionality. - Maximilian Stubbemann; Tobias Hille; Tom Hanika (CoRR, 2023)

Drawing Order Diagrams Through Two-Dimension Extension. - Dominik Dürrschnabel; Tom Hanika; Gerd Stumme (J. Graph Algorithms Appl., 2023)

Towards Ordinal Data Science. - Gerd Stumme; Dominik Dürrschnabel; Tom Hanika (TGDK, 2023)

Intrinsic Dimension for Large-Scale Geometric Learning. - Maximilian Stubbemann; Tom Hanika; Friedrich Martin Schneider (Trans. Mach. Learn. Res., 2023)

Conceptual views on tree ensemble classifiers. - Tom Hanika; Johannes Hirth (Int. J. Approx. Reason., 2023)

Research topic flows in co-authorship networks. - Bastian Schäfermeier; Johannes Hirth; Tom Hanika (Scientometrics, 2023)

Correction: Research topic flows in co‑authorship networks. - Bastian Schäfermeier; Johannes Hirth; Tom Hanika (Scientometrics, 2023)

What is the Intrinsic Dimension of Your Binary Data? - and How to Compute it Quickly. - Tom Hanika; Tobias Hille (CONCEPTS, 2024)

A Repository for Formal Contexts. - Tom Hanika; Robert Jäschke (CONCEPTS, 2024)

Collaborative Hybrid Human AI Learning through Conceptual Exploration. - Bernhard Ganter; Tom Hanika; Johannes Hirth; Sergei Obiedkov (HHAI Workshops, 2024)

The Geometric Structure of Topic Models. - Johannes Hirth; Tom Hanika (CoRR, 2024)

What is the intrinsic dimension of your binary data? - and how to compute it quickly. - Tom Hanika; Tobias Hille (CoRR, 2024)

Reproducibility and Geometric Intrinsic Dimensionality: An Investigation on Graph Neural Network Research. - Tobias Hille; Maximilian Stubbemann; Tom Hanika (Trans. Mach. Learn. Res., 2024)

Ordinal motifs in lattices. - Johannes Hirth; Viktoria Horn; Gerd Stumme; Tom Hanika (Inf. Sci., 2024)