@article{leemhuis20OrthologicsArxiv,
	Author = {Mena Leemhuis and  {\"O}zg{\"u}r L. {\"O}z{\c{c}}ep and  Diedirich Wolter},
	Eid = {arXiv:2008.03172},
	Eprint = {2008.03172},
	Journal = {arXiv e-prints},
	Keywords = {Computer Science - Artificial Intelligence, Computer Science - Logic in Computer Science},
	Month = aug,
	Pages = {arXiv:2008.03172},
	Primaryclass = {cs.AI},
	Title = {{Orthologics for Cones}},
	Year = 2020}

@book{GoeBrSc20,
  author = "G\"unther G\"orz and Tanya Braun and Ute Schmid (Eds.)",
  title = "{Handbuch der Künstlichen Intelligenz, 6. Auflage}",
  year = "2020",
  publisher = "De Gruyter"
}

@book{GoeBrSc20,
  author = "G\"unther G\"orz and Tanya Braun and Ute Schmid (Eds.)",
  title = "{Handbuch der K\"unstlichen Intelligenz, 6. Auflage}",
  year = "2020",
  publisher = "De Gruyter",
  url = {https://www.degruyter.com/view/title/558044?rskey=Yc1Ty5}
}

@inproceedings{HaMo2020,
	title = {Lifted Query Answering in Gaussian Bayesian Networks},
	language = {English},
	booktitle = {Proceedings of Machine Learning Research},
	author = {Mattis Hartwig, Ralf Möller},
	year = {2020}
}

@techreport{Har20,
    Author = {Mattis Hartwig},
    Title = {{Efficient Query Answering in Nonparametric
Probabilistic Graphical Models}},
    Year = {2020},
    date = {21.-25.09.2020},
    address = {Bamberg},
    Institution = {German Conference on Artificial Intelligence (K{\"u}nstliche Intelligenz)},
    Note = {43rd German Conference on Artificial Intelligence, Doctoral Consortium}
}

@inproceedings{leemhuis20multi-label,
	Author = {Mena Leemhuis and \"Ozg\"ur L. {\"O}z\c{c}ep and Diedrich Wolter},
	Booktitle = {Proceedings of the 25th International Conference on Conceptual Structures (ICCS 2020)},
	Keywords = {own,acceptedForPublication},
	Title = {Multi-Label Learning with a Cone-Based Geometric Model},
	Year = {2020}}

@inproceedings{MohWilHarMoKe20,
	Author = {Marisa Mohr, Florian Wilhelm, Mattis Hartwig, Ralf M{\"o}ller, Karsten Keller},
	booktitle = {Proceedings of the 33rd International Florida Artificial Intelligence Research Society Conference (FLAIRS-33)},
	year = {2020},
	Title = {New Approaches in Ordinal Pattern Representations for Multivariate Time Series},
        doi = {https://www.aaai.org/ocs/index.php/FLAIRS/FLAIRS20/paper/view/18417/17531}
}

@inproceedings{MohFiMo,
	Author = {Marisa Mohr, Nils Finke, Ralf M{\"o}ller},
	booktitle = {Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2020 (APSIPA-ASC)},
	year = {2020},
	Title = {On the Behaviour of Permutation Entropy on Fractional Brownian Motion in a Multivariate Setting},
        doi = {}
}

@inproceedings{GrothGKP20,
  author    = {Tobias Groth and Sven Groppe and Martin Koppehel and Thilo Pionteck},
  title     = {Parallelizing Approximate Search on Adaptive Radix Trees},
  booktitle = {Proceedings of the 28th Italian Symposium on Advanced Database Systems, Villasimius, Sud Sardegna, Italy (virtual due to Covid-19 pandemic)},
  pages     = {56--67},
  year      = {2020},
  url       = {http://ceur-ws.org/Vol-2646/16-paper.pdf}
}

@book{AlaBrYu20, 
  author = {Mehwish Alam and Tanya Braun and Bruno Yun (Eds.)},
  title = {ICCS-20 Proceedings of the 25th International Conference on Conceptual Structures},
  year = {2020},
  publisher = {Springer},
  doi = {https://doi.org/10.1007/978-3-030-57855-8}
}

@article{PoensgenM20a,
  author    = {Peter Poensgen and Ralf M{\"{o}}ller},
  title     = {{Branch-and-Bound Ranked Search by Minimizing Parabolic Polynomials}},
  journal   = {Open J. Databases},
  volume    = {7},
  number    = {1},
  pages     = {12--20},
  year      = {2020},
  url       = {https://www.ronpub.com/ojdb/OJDB_2020v7i1n02_Poensgen.html}
}

@inproceedings{PotBr20,
  author = {Tristan Potten and Tanya Braun}, 
  title = {{Benchmarking Inference Algorithms for Probabilistic Relational Models}}, 
  booktitle = {ICCS-20 Proceedings of the 25th International Conference on Conceptual Structures}, 
  year = {2020},
  doi = {https://doi.org/10.1007/978-3-030-57855-8_15}
}

@inproceedings{KuhOe20c,
	Author = {Felix Kuhr and Özgür Lütfü Özcep},
	Booktitle = {Proceedings of the 33rd International Florida Artificial Intelligence Research Society Conference {(FLAIRS-20)}},
	Title = {Theory Interpretations for Topic Models},
	Year = {2020}
}

@inproceedings{MohrBeckerMöllerRichter2020,
	title = {Towards Collaborative Predictive Maintenance Leveraging Private Cross-Company Data},
	language = {English},
	booktitle = {Lecture Notes in Informatics},
	author = {Marisa Mohr, Christian Becker, Ralf Möller, Matthias Richter},
        volume = {307},
        publisher = {Gesellschaft für Informatik e.V.},
        address = {Bonn},
        year = {2020}
}

@incollection{wolter20kihandbuch,
	Author = {Diedrich Wolter and Özgür Lütfü Özçep,
	Booktitle = {Handbuch der Künstlichen Intelligenz},
	Keywords = {invitedContribution},
	Publisher = {De Gruyter},
	Title = {Wissen über Raum und Zeit},
	Year = {2020}}

@techreport{MohWilMo20,
    Author = {Marisa Mohr and Florian Wilhelm and  Ralf M\"oller},
    Title = {{On the Behaviour of Weighted Permutation Entropy on Fractional Brownian Motion - Extended}},
    Year = {2020},
    Institution = {IFIS, Universit{\"a}t zu L{\"u}beck},
    Note = {Technical Report}
}

@book{AlaBrYu20, 
  author = "Mehwish Alam and Tanya Braun and Bruno Yun (Eds.)",
  title = "{ICCS-20 Proceedings of the 25th International Conference on Conceptual Structures}",
  year = "2020",
  publisher = "Springer",
  doi = {https://doi.org/10.1007/978-3-030-57855-8}
}

@INPROCEEDINGS{KuhBeBrMo20b,
author={Felix Kuhr and Magnus Bender and Tanya Braun and Ralf M\"oller},
title={{Maintaining Topic Models for Growing Corpora}},
booktitle={Proceedings of the 14th IEEE International Conference on Semantic Computing (ICSC-20)},
year={2020},
pages     = {451--458},
publisher = {IEEE},
doi={https://doi.org/10.1109/ICSC.2020.00017},
ISSN={},
keywords={Topic Models;Machine Learning;Text Mining}
}

@inproceedings{oezcep20Cone,
	Author = {{\"O}z{\c{c}}ep, {\"O}zg{\"u}r L{\"u}tf{\"u} and Leemhuis, Mena and Wolter, Diedrich},
	Booktitle = {Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, {IJCAI-20}},
	Date-Modified = {2020-05-05 17:51:59 +0200},
	Keywords = {own,acceptedForPublication},
	Title = {Cone semantics for logics with negation},
	Year = {2020}}

@Article{OJDB_2020v7i1n01_Poensgen,
       author    = {Peter Poensgen and Ralf M{\"o}ller},
        title     = {{Quasi-Convex Scoring Functions in Branch-and-Bound Ranked Search}},
        journal   = {Open Journal of Databases (OJDB)},
        issn      = {2199-3459},
        year      = {2020},
        volume    = {7},
        number    = {1},
        pages     = {1--11},
        url       = {https://www.ronpub.com/ojdb/OJDB_2020v7i1n01_Poensgen.html},
        publisher = {RonPub},
        abstract = {For answering top-k queries in which attributes are aggregated to a scalar value for defining a ranking, usually the well-known branch-and-bound principle can be used for efficient query answering. Standard algorithms (e.g., Branch-and-Bound Ranked Search, BRS for short) require scoring functions to be monotone, such that a top-k ranking can be computed in sublinear time in the average case. If monotonicity cannot be guaranteed, efficient query answering algorithms are not known. To make branch-and-bound effective with descending or ascending rankings (maximum top-k or minimum top-k queries, respectively), BRS must be able to identify bounds for exploring search partitions, and only for monotonic ranking functions this is trivial. In this paper, we investigate the class of quasi-convex functions used for scoring objects, and we examine how bounds for exploring data partitions can correctly and efficiently be computed for quasi-convex functions in BRS for maximum top-k queries. Given that quasi-convex scoring functions can usefully be employed for ranking objects in a variety of applications, the mathematical findings presented in this paper are indeed significant for practical top-k query answering.}
    }

@phdthesis{Bra20,
  author = "Tanya Braun",
  title = "{Rescued from a Sea of Queries: Exact Inference in Probabilistic Relational Models}",
  school = "University of L\"ubeck",
  year = "2020",
  note = "PhD thesis"
}

@inproceedings{HaMo20b,
  author={Mattis Hartwig and Ralf Möller},
  title={How to Encode Dynamic Gaussian Bayesian Networks as Gaussian Processes?},
  booktitle = {{AI} 2020: Advances in Artificial Intelligence - 33rd Australasian Joint Conference, {AI} 2020}},
  address = { Canberra, ACT, Australia, November 29-30, 2020},
  series    = {Lecture Notes in Computer Science (LNCS)},
  volume    = {12576},
  pages     = {371--382},
  publisher = {Springer},
  doi = {https://doi.org/10.1007/978-3-030-64984-5_29}
}