Tom Hanika

ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 68

Top Venues

University of Kassel, Germany (PHD)

Education History

University of Kassel, Germany

PHD

Publications

Tom Hanika, Tobias Hille
dimension of your binary data? - and how to compute it quickly. CoRR (2024)
Johannes Hirth, Tom Hanika
The Geometric Structure of Topic Models. CoRR (2024)
Tom Hanika, Robert Jäschke
A Repository for Formal Contexts. CONCEPTS (2024)
Tobias Hille, Maximilian Stubbemann, Tom Hanika
Reproducibility and Geometric Intrinsic Dimensionality: An Investigation on Graph Neural Network Research. CoRR (2024)
Johannes Hirth, Viktoria Horn, Gerd Stumme, Tom Hanika
Ordinal motifs in lattices. Inf. Sci. 659 (2024)
Tom Hanika, Robert Jäschke
A Repository for Formal Contexts. CoRR (2024)
Tom Hanika, Tobias Hille
What is the Intrinsic Dimension of Your Binary Data? - and How to Compute it Quickly. CONCEPTS (2024)
Gerd Stumme, Dominik Dürrschnabel, Tom Hanika
Towards Ordinal Data Science. CoRR (2023)
Johannes Hirth, Viktoria Horn, Gerd Stumme, Tom Hanika
Automatic Textual Explanations of Concept Lattices. ICCS (2023)
Johannes Hirth, Viktoria Horn, Gerd Stumme, Tom Hanika
Automatic Textual Explanations of Concept Lattices. CoRR (2023)
Dominik Dürrschnabel, Tom Hanika, Gerd Stumme
Drawing Order Diagrams Through Two-Dimension Extension. J. Graph Algorithms Appl. 27 (9) (2023)
Bernhard Ganter, Tom Hanika, Johannes Hirth
Scaling Dimension. ICFCA (2023)
Maximilian Stubbemann, Tom Hanika, Friedrich Martin Schneider
Intrinsic Dimension for Large-Scale Geometric Learning. Trans. Mach. Learn. Res. 2023 (2023)
Tom Hanika, Johannes Hirth
Conceptual Views on Tree Ensemble Classifiers. CoRR (2023)
Gerd Stumme, Dominik Dürrschnabel, Tom Hanika
Towards Ordinal Data Science. TGDK 1 (1) (2023)
Johannes Hirth, Viktoria Horn, Gerd Stumme, Tom Hanika
Ordinal Motifs in Lattices. CoRR (2023)
Tom Hanika, Johannes Hirth
Conceptual views on tree ensemble classifiers. Int. J. Approx. Reason. 159 (2023)
Bernhard Ganter, Tom Hanika, Johannes Hirth
Scaling Dimension. CoRR (2023)
Maximilian Stubbemann, Tobias Hille, Tom Hanika
Selecting Features by their Resilience to the Curse of Dimensionality. CoRR (2023)
Bastian Schäfermeier, Johannes Hirth, Tom Hanika
Correction: Research topic flows in co‑authorship networks. Scientometrics 128 (9) (2023)
Bastian Schäfermeier, Johannes Hirth, Tom Hanika
Research topic flows in co-authorship networks. Scientometrics 128 (9) (2023)
Johannes Hirth, Tom Hanika
Formal Conceptual Views in Neural Networks. CoRR (2022)
Bastian Schäfermeier, Gerd Stumme, Tom Hanika
Mapping Research Trajectories. CoRR (2022)
Dominik Dürrschnabel, Tom Hanika, Gerd Stumme
Discovering Locally Maximal Bipartite Subgraphs. CoRR (2022)
Tom Hanika, Johannes Hirth
Knowledge cores in large formal contexts. Ann. Math. Artif. Intell. 90 (6) (2022)
Bastian Schäfermeier, Johannes Hirth, Tom Hanika
Research Topic Flows in Co-Authorship Networks. CoRR (2022)
Maximilian Stubbemann, Tom Hanika, Friedrich Martin Schneider
Intrinsic Dimension for Large-Scale Geometric Learning. CoRR (2022)
Tom Hanika, Johannes Hirth
On the lattice of conceptual measurements. Inf. Sci. 613 (2022)
Tobias Koopmann, Maximilian Stubbemann, Matthias Kapa, Michael Paris, Guido Buenstorf, Tom Hanika, Andreas Hotho, Robert Jäschke, Gerd Stumme
Proximity dimensions and the emergence of collaboration: a HypTrails study on German AI research. Scientometrics 126 (12) (2021)
Tom Hanika, Johannes Hirth
Exploring Scale-Measures of Data Sets. CoRR (2021)
Tom Hanika, Johannes Hirth
Quantifying the Conceptual Error in Dimensionality Reduction. ICCS (2021)
Bastian Schäfermeier, Gerd Stumme, Tom Hanika
Topological Indoor Mapping through WiFi Signals. CoRR (2021)
Tom Hanika, Johannes Hirth
Quantifying the Conceptual Error in Dimensionality Reduction. CoRR (2021)
Bastian Schäfermeier, Gerd Stumme, Tom Hanika
Towards Explainable Scientific Venue Recommendations. CoRR (2021)
Tom Hanika, Johannes Hirth
Exploring Scale-Measures of Data Sets. ICFCA (2021)
Bastian Schäfermeier, Gerd Stumme, Tom Hanika
Topic space trajectories. Scientometrics 126 (7) (2021)
Tom Hanika, Johannes Hirth
On the Lattice of Conceptual Measurements. CoRR (2020)
Maximilian Stubbemann, Tom Hanika, Gerd Stumme
Orometric Methods in Bounded Metric Data. IDA (2020)
Maximilian Felde, Tom Hanika, Gerd Stumme
Null Models for Formal Contexts. Inf. 11 (3) (2020)
Bastian Schäfermeier, Gerd Stumme, Tom Hanika
Topic Space Trajectories: A case study on machine learning literature. CoRR (2020)
Daniel Borchmann, Tom Hanika, Sergei Obiedkov
Probably approximately correct learning of Horn envelopes from queries. Discret. Appl. Math. 273 (2020)
Tom Hanika, Johannes Hirth
Knowledge Cores in Large Formal Contexts. CoRR (2020)
Tom Hanika, Maximilian Marx, Gerd Stumme
Discovering Implicational Knowledge in Wikidata. CoRR (2019)
Dominik Dürrschnabel, Tom Hanika, Gerd Stumme
DimDraw - A Novel Tool for Drawing Concept Lattices. ICFCA (Supplements) (2019)
Tom Hanika, Johannes Hirth
Conexp-Clj - A Research Tool for FCA. ICFCA (Supplements) (2019)
Bastian Schäfermeier, Tom Hanika, Gerd Stumme
Distances for wifi based topological indoor mapping. MobiQuitous (2019)
Maximilian Felde, Tom Hanika
Formal Context Generation Using Dirichlet Distributions. ICCS (2019)
Tom Hanika, Maren Koyda, Gerd Stumme
Relevant Attributes in Formal Contexts. ICCS (2019)
Dominik Dürrschnabel, Tom Hanika, Maximilian Stubbemann
FCA2VEC: Embedding Techniques for Formal Concept Analysis. CoRR (2019)
Dominik Dürrschnabel, Tom Hanika, Gerd Stumme
Drawing Order Diagrams Through Two-Dimension Extension. CoRR (2019)
Tom Hanika, Maximilian Marx, Gerd Stumme
Discovering Implicational Knowledge in Wikidata. ICFCA (2019)
Dominik Dürrschnabel, Tom Hanika, Gerd Stumme
DimDraw - A novel tool for drawing concept lattices. CoRR (2019)
Maximilian Stubbemann, Tom Hanika, Gerd Stumme
Orometric Methods in Bounded Metric Data. CoRR (2019)
Tom Hanika, Marek Herde, Jochen Kuhn, Jan Marco Leimeister, Paul Lukowicz, Sarah Oeste-Reiß, Albrecht Schmidt, Bernhard Sick, Gerd Stumme, Sven Tomforde, Katharina Anna Zweig
Collaborative Interactive Learning - A clarification of terms and a differentiation from other research fields. CoRR (2019)
Tom Hanika, Friedrich Martin Schneider, Gerd Stumme
Intrinsic dimension and its application to association rules. CoRR (2018)
Tom Hanika, Maren Koyda, Gerd Stumme
Relevant Attributes in Formal Contexts. CoRR (2018)
Stephan Doerfel, Tom Hanika, Gerd Stumme
Clones in Graphs. ISMIS (2018)
Maximilian Felde, Tom Hanika
Formal Context Generation using Dirichlet Distributions. CoRR (2018)
Stephan Doerfel, Tom Hanika, Gerd Stumme
Clones in Social Networks. CoRR (2018)
Daniel Borchmann, Tom Hanika, Sergei Obiedkov
Probably approximately correct learning of Horn envelopes from queries. CoRR (2018)
Tom Hanika, Friedrich Martin Schneider, Gerd Stumme
Intrinsic dimension of concept lattices. CoRR (2018)
Tom Hanika, Jens Zumbrägel
Towards Collaborative Conceptual Exploration. ICCS (2018)
Bastian Schäfermeier, Tom Hanika, Gerd Stumme
Distances for WiFi Based Topological Indoor Mapping. CoRR (2018)
Daniel Borchmann, Tom Hanika, Sergei Obiedkov
On the Usability of Probably Approximately Correct Implication Bases. CoRR (2017)
Daniel Borchmann, Tom Hanika, Sergei Obiedkov
On the Usability of Probably Approximately Correct Implication Bases. ICFCA (2017)
Tom Hanika, Jens Zumbrägel
Towards Collaborative Conceptual Exploration. CoRR (2017)
Daniel Borchmann, Tom Hanika
Some Experimental Results on Randomly Generating Formal Contexts. CLA (2016)
Martin Atzmueller, Tom Hanika, Gerd Stumme, Richard Schaller, Bernd Ludwig
Social event network analysis: Structure, preferences, and reality. ASONAM (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tom Hanika