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ORCIDTom Hanika
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- affiliation: Universität Kassel, Germany
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2020 – today
- 2024
[j13]Johannes Hirth
, Viktoria Horn, Gerd Stumme, Tom Hanika:
Ordinal motifs in lattices. Inf. Sci. 659: 120009 (2024)- [c18]Tom Hanika, Tobias Hille:
What is the Intrinsic Dimension of Your Binary Data? - and How to Compute it Quickly. CONCEPTS 2024: 97-112 - [c17]Tom Hanika, Robert Jäschke:
A Repository for Formal Contexts. CONCEPTS 2024: 182-197 - [i37]Johannes Hirth, Tom Hanika:
The Geometric Structure of Topic Models. CoRR abs/2403.03607 (2024) - [i36]Tobias Hille, Maximilian Stubbemann, Tom Hanika:
Reproducibility and Geometric Intrinsic Dimensionality: An Investigation on Graph Neural Network Research. CoRR abs/2403.08438 (2024) - [i35]Tom Hanika, Robert Jäschke:
A Repository for Formal Contexts. CoRR abs/2404.04344 (2024) - [i34]Tom Hanika, Tobias Hille:
What is the intrinsic dimension of your binary data? - and how to compute it quickly. CoRR abs/2404.06326 (2024) - 2023
- [j12]Tom Hanika, Johannes Hirth:
Conceptual views on tree ensemble classifiers. Int. J. Approx. Reason. 159: 108930 (2023) - [j11]Dominik Dürrschnabel, Tom Hanika, Gerd Stumme:
Drawing Order Diagrams Through Two-Dimension Extension. J. Graph Algorithms Appl. 27(9): 783-802 (2023) - [j10]Bastian Schäfermeier, Johannes Hirth, Tom Hanika:
Research topic flows in co-authorship networks. Scientometrics 128(9): 5051-5078 (2023) - [j9]Bastian Schäfermeier, Johannes Hirth, Tom Hanika:
Correction: Research topic flows in co‑authorship networks. Scientometrics 128(9): 5079-5080 (2023) - [j8]Gerd Stumme, Dominik Dürrschnabel, Tom Hanika:
Towards Ordinal Data Science. TGDK 1(1): 6:1-6:39 (2023) - [j7]Maximilian Stubbemann, Tom Hanika, Friedrich Martin Schneider:
Intrinsic Dimension for Large-Scale Geometric Learning. Trans. Mach. Learn. Res. 2023 (2023) - [c16]Johannes Hirth, Viktoria Horn, Gerd Stumme, Tom Hanika:
Automatic Textual Explanations of Concept Lattices. ICCS 2023: 138-152 - [c15]Bernhard Ganter, Tom Hanika, Johannes Hirth:
Scaling Dimension. ICFCA 2023: 64-77 - [i33]Tom Hanika, Johannes Hirth:
Conceptual Views on Tree Ensemble Classifiers. CoRR abs/2302.05270 (2023) - [i32]Bernhard Ganter, Tom Hanika, Johannes Hirth:
Scaling Dimension. CoRR abs/2302.09101 (2023) - [i31]Maximilian Stubbemann, Tobias Hille, Tom Hanika:
Selecting Features by their Resilience to the Curse of Dimensionality. CoRR abs/2304.02455 (2023) - [i30]Johannes Hirth, Viktoria Horn, Gerd Stumme, Tom Hanika:
Ordinal Motifs in Lattices. CoRR abs/2304.04827 (2023) - [i29]Johannes Hirth, Viktoria Horn, Gerd Stumme, Tom Hanika:
Automatic Textual Explanations of Concept Lattices. CoRR abs/2304.08093 (2023) - [i28]Gerd Stumme, Dominik Dürrschnabel, Tom Hanika:
Towards Ordinal Data Science. CoRR abs/2307.09477 (2023) - 2022
- [j6]Tom Hanika, Johannes Hirth:
Knowledge cores in large formal contexts. Ann. Math. Artif. Intell. 90(6): 537-567 (2022) - [j5]Tom Hanika, Johannes Hirth:
On the lattice of conceptual measurements. Inf. Sci. 613: 453-468 (2022) - [p2]Dominik Dürrschnabel, Tom Hanika, Maximilian Stubbemann:
FCA2VEC: Embedding Techniques for Formal Concept Analysis. Complex Data Analytics with Formal Concept Analysis 2022: 47-74 - [i27]Bastian Schäfermeier, Gerd Stumme, Tom Hanika:
Mapping Research Trajectories. CoRR abs/2204.11859 (2022) - [i26]Bastian Schäfermeier, Johannes Hirth, Tom Hanika:
Research Topic Flows in Co-Authorship Networks. CoRR abs/2206.07980 (2022) - [i25]Johannes Hirth, Tom Hanika:
Formal Conceptual Views in Neural Networks. CoRR abs/2209.13517 (2022) - [i24]Maximilian Stubbemann, Tom Hanika, Friedrich Martin Schneider:
Intrinsic Dimension for Large-Scale Geometric Learning. CoRR abs/2210.05301 (2022) - [i23]Dominik Dürrschnabel, Tom Hanika, Gerd Stumme:
Discovering Locally Maximal Bipartite Subgraphs. CoRR abs/2211.10446 (2022) - 2021
- [j4]Bastian Schäfermeier, Gerd Stumme, Tom Hanika:
Topic space trajectories. Scientometrics 126(7): 5759-5795 (2021) - [j3]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): 9847-9868 (2021) - [c14]Tom Hanika, Johannes Hirth:
Quantifying the Conceptual Error in Dimensionality Reduction. ICCS 2021: 105-118 - [c13]Tom Hanika, Johannes Hirth:
Exploring Scale-Measures of Data Sets. ICFCA 2021: 261-269 - [e2]Tanya Braun, Marcel Gehrke, Tom Hanika, Nathalie Hernandez:
Graph-Based Representation and Reasoning - 26th International Conference on Conceptual Structures, ICCS 2021, Virtual Event, September 20-22, 2021, Proceedings. Lecture Notes in Computer Science 12879, Springer 2021, ISBN 978-3-030-86981-6 [contents] - [e1]Agnès Braud, Aleksey Buzmakov, Tom Hanika, Florence Le Ber:
Formal Concept Analysis - 16th International Conference, ICFCA 2021, Strasbourg, France, June 29 - July 2, 2021, Proceedings. Lecture Notes in Computer Science 12733, Springer 2021, ISBN 978-3-030-77866-8 [contents] - [i22]Tom Hanika, Johannes Hirth:
Exploring Scale-Measures of Data Sets. CoRR abs/2102.02576 (2021) - [i21]Tom Hanika, Johannes Hirth:
Quantifying the Conceptual Error in Dimensionality Reduction. CoRR abs/2106.06815 (2021) - [i20]Bastian Schäfermeier, Gerd Stumme, Tom Hanika:
Topological Indoor Mapping through WiFi Signals. CoRR abs/2106.09789 (2021) - [i19]Bastian Schäfermeier, Gerd Stumme, Tom Hanika:
Towards Explainable Scientific Venue Recommendations. CoRR abs/2109.11343 (2021) - 2020
- [j2]Daniel Borchmann, Tom Hanika, Sergei Obiedkov:
Probably approximately correct learning of Horn envelopes from queries. Discret. Appl. Math. 273: 30-42 (2020) - [j1]Maximilian Felde, Tom Hanika, Gerd Stumme:
Null Models for Formal Contexts. Inf. 11(3): 135 (2020) - [c12]Maximilian Stubbemann, Tom Hanika, Gerd Stumme:
Orometric Methods in Bounded Metric Data. IDA 2020: 496-508 - [d1]Dominik Dürrschnabel, Tom Hanika, Gerd Stumme:
Dataset of User Study for DimDraw. Zenodo, 2020
- [i18]Tom Hanika, Johannes Hirth:
Knowledge Cores in Large Formal Contexts. CoRR abs/2002.11776 (2020) - [i17]Bastian Schäfermeier, Gerd Stumme, Tom Hanika:
Topic Space Trajectories: A case study on machine learning literature. CoRR abs/2010.12294 (2020) - [i16]Tom Hanika, Johannes Hirth:
On the Lattice of Conceptual Measurements. CoRR abs/2012.05267 (2020)
2010 – 2019
- 2019
- [b1]Tom Hanika:
Discovering Knowledge in Bipartite Graphs with Formal Concept Analysis. University of Kassel, Germany, 2019 - [c11]Maximilian Felde, Tom Hanika:
Formal Context Generation Using Dirichlet Distributions. ICCS 2019: 57-71 - [c10]Tom Hanika, Maren Koyda, Gerd Stumme:
Relevant Attributes in Formal Contexts. ICCS 2019: 102-116 - [c9]Dominik Dürrschnabel, Tom Hanika, Gerd Stumme:
DimDraw - A Novel Tool for Drawing Concept Lattices. ICFCA (Supplements) 2019: 60-64 - [c8]Tom Hanika, Johannes Hirth:
Conexp-Clj - A Research Tool for FCA. ICFCA (Supplements) 2019: 70-75 - [c7]Tom Hanika, Maximilian Marx, Gerd Stumme:
Discovering Implicational Knowledge in Wikidata. ICFCA 2019: 315-323 - [c6]Bastian Schäfermeier, Tom Hanika, Gerd Stumme:
Distances for wifi based topological indoor mapping. MobiQuitous 2019: 308-317 - [i15]Tom Hanika, Maximilian Marx, Gerd Stumme:
Discovering Implicational Knowledge in Wikidata. CoRR abs/1902.00916 (2019) - [i14]Dominik Dürrschnabel, Tom Hanika, Gerd Stumme:
DimDraw - A novel tool for drawing concept lattices. CoRR abs/1903.00686 (2019) - [i13]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 abs/1905.07264 (2019) - [i12]Dominik Dürrschnabel, Tom Hanika, Gerd Stumme:
Drawing Order Diagrams Through Two-Dimension Extension. CoRR abs/1906.06208 (2019) - [i11]Maximilian Stubbemann, Tom Hanika, Gerd Stumme:
Orometric Methods in Bounded Metric Data. CoRR abs/1907.09239 (2019) - [i10]Dominik Dürrschnabel, Tom Hanika, Maximilian Stubbemann:
FCA2VEC: Embedding Techniques for Formal Concept Analysis. CoRR abs/1911.11496 (2019) - 2018
- [c5]Tom Hanika, Jens Zumbrägel:
Towards Collaborative Conceptual Exploration. ICCS 2018: 120-134 - [c4]Stephan Doerfel, Tom Hanika, Gerd Stumme:
Clones in Graphs. ISMIS 2018: 56-66 - [i9]Tom Hanika, Friedrich Martin Schneider, Gerd Stumme:
Intrinsic dimension of concept lattices. CoRR abs/1801.07985 (2018) - [i8]Stephan Doerfel, Tom Hanika, Gerd Stumme:
Clones in Social Networks. CoRR abs/1802.07849 (2018) - [i7]Tom Hanika, Friedrich Martin Schneider, Gerd Stumme:
Intrinsic dimension and its application to association rules. CoRR abs/1805.05714 (2018) - [i6]Daniel Borchmann, Tom Hanika, Sergei Obiedkov:
Probably approximately correct learning of Horn envelopes from queries. CoRR abs/1807.06149 (2018) - [i5]Bastian Schäfermeier, Tom Hanika, Gerd Stumme:
Distances for WiFi Based Topological Indoor Mapping. CoRR abs/1809.07405 (2018) - [i4]Maximilian Felde, Tom Hanika:
Formal Context Generation using Dirichlet Distributions. CoRR abs/1809.11160 (2018) - [i3]Tom Hanika, Maren Koyda, Gerd Stumme:
Relevant Attributes in Formal Contexts. CoRR abs/1812.08868 (2018) - 2017
- [c3]Daniel Borchmann, Tom Hanika, Sergei Obiedkov:
On the Usability of Probably Approximately Correct Implication Bases. ICFCA 2017: 72-88 - [p1]Daniel Borchmann, Tom Hanika:
Individuality in Social Networks. Formal Concept Analysis of Social Networks 2017: 19-40 - [i2]Daniel Borchmann, Tom Hanika, Sergei Obiedkov:
On the Usability of Probably Approximately Correct Implication Bases. CoRR abs/1701.00877 (2017) - [i1]Tom Hanika, Jens Zumbrägel:
Towards Collaborative Conceptual Exploration. CoRR abs/1712.08858 (2017) - 2016
- [c2]Martin Atzmueller, Tom Hanika, Gerd Stumme, Richard Schaller, Bernd Ludwig:
Social event network analysis: Structure, preferences, and reality. ASONAM 2016: 613-620 - [c1]Daniel Borchmann, Tom Hanika:
Some Experimental Results on Randomly Generating Formal Contexts. CLA 2016: 57-69
Coauthor Index
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last updated on 2024-09-21 01:46 CEST by the dblp team
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