DI Ioana-Cleopatra Pau

Research Area

Generalization Algorithms and Applications

Office

Schloss Hagenberg
A-4232 Hagenberg im Mühlkreis

Room: -2.10-1

Postal Address

Research Institute for Symbolic Computation
Johannes Kepler University
Altenberger Straße 69
A-4040 Linz, Austria

Phone

+43 732 2468 9973

eMail

Ioana.Pau@risc.jku.at

Publications

2022

[Pau]

Matching and Generalization Modulo Proximity and Tolerance Relations

Temur Kutsia, Cleo Pau

In: Proceedings of TbiLLC 2019 - 13th International Tbilisi Symposium on Logic, Language, and Computation, Aybüke Özgün and Yulia Zinova (ed.), Lecture Notes in Computer Science 13206, pp. 323-342. 2022. Springer, ISBN 978-3-030-98478-6. [doi] [pdf]

[bib]

@inproceedings{RISC6491,
author = {Temur Kutsia and Cleo Pau},
title = {{Matching and Generalization Modulo Proximity and Tolerance Relations}},
booktitle = {{Proceedings of TbiLLC 2019 - 13th International Tbilisi Symposium on Logic, Language, and Computation}},
language = {english},
series = {Lecture Notes in Computer Science},
volume = {13206},
pages = {323--342},
publisher = {Springer},
isbn_issn = {ISBN 978-3-030-98478-6},
year = {2022},
editor = {Aybüke Özgün and Yulia Zinova},
refereed = {yes},
length = {20},
url = {https://doi.org/10.1007/978-3-030-98479-3_16}
}

[Pau]

A framework for approximate generalization in quantitative theories

Temur Kutsia, Cleo Pau

Technical report no. 22-04 in RISC Report Series, Research Institute for Symbolic Computation (RISC), Johannes Kepler University Linz, Austria. ISSN 2791-4267 (online). May 2022. Licensed under CC BY 4.0 International. [doi] [pdf]

[bib]

@techreport{RISC6505,
author = {Temur Kutsia and Cleo Pau},
title = {{A framework for approximate generalization in quantitative theories}},
language = {english},
abstract = {Anti-unification aims at computing generalizations for given terms, retaining their common structure and abstracting differences by variables. We study quantitative anti-unification where the notion of the common structure is relaxed into "proximal'' up to the given degree with respect to the given fuzzy proximity relation. Proximal symbols may have different names and arities. We develop a generic set of rules for computing minimal complete sets of approximate generalizations and study their properties. Depending on the characterizations of proximities between symbols and the desired forms of solutions, these rules give rise to different versions of concrete algorithms.},
number = {22-04},
year = {2022},
month = {May},
keywords = {Generalization, anti-unification, quantiative theories, fuzzy proximity relations},
length = {22},
license = {CC BY 4.0 International},
type = {RISC Report Series},
institution = {Research Institute for Symbolic Computation (RISC), Johannes Kepler University Linz},
address = {Altenberger Straße 69, 4040 Linz, Austria},
issn = {2791-4267 (online)}
}

[Pau]

Symbolic Techniques for Approximate Reasoning

Cleo Pau

RISC, JKU. PhD Thesis. 2022. [pdf]

[bib]

@phdthesis{RISC6513,
author = {Cleo Pau},
title = {{Symbolic Techniques for Approximate Reasoning}},
language = {english},
year = {2022},
translation = {0},
school = {RISC, JKU},
length = {202}
}

2021

[Pau]

Proximity-Based Unification and Matching for Full Fuzzy Signatures

Temur Kutsia, Cleo Pau

Technical report no. 21-08 in RISC Report Series, Research Institute for Symbolic Computation (RISC), Johannes Kepler University Linz, Austria. ISSN 2791-4267 (online). April 2021. [doi] [pdf]

[bib]

@techreport{RISC6296,
author = {Temur Kutsia and Cleo Pau},
title = {{Proximity-Based Unification and Matching for Full Fuzzy Signatures}},
language = {english},
abstract = {Proximity relations are binary fuzzy relations, which are reflexiveand symmetric, but not transitive. We propose proximity-based unification and matching algorithms in fuzzy languages whose signaturestolerate mismatches in function symbol names, arity, and in the arguments order (so called full fuzzy signatures). This work generalizeson the one hand, proximity-based unification to full fuzzy signatures,and on the other hand, similarity-based unification over a full fuzzysignature by extending similarity to proximity.},
number = {21-08},
year = {2021},
month = {April},
keywords = {Fuzzy proximity relations, Unification Matching, Arity mismatch},
length = {15},
type = {RISC Report Series},
institution = {Research Institute for Symbolic Computation (RISC), Johannes Kepler University Linz},
address = {Altenberger Straße 69, 4040 Linz, Austria},
issn = {2791-4267 (online)}
}

[Pau]

Generalization Algorithms with Proximity Relations in Full Fuzzy Signatures

Temur Kutsia, Cleo Pau

Technical report no. 21-09 in RISC Report Series, Research Institute for Symbolic Computation (RISC), Johannes Kepler University Linz, Austria. ISSN 2791-4267 (online). April 2021. [doi] [pdf]

[bib]

@techreport{RISC6297,
author = {Temur Kutsia and Cleo Pau},
title = {{Generalization Algorithms with Proximity Relations in Full Fuzzy Signatures}},
language = {english},
abstract = {Anti-unification aims at computing generalizations for given terms,retaining their common structure and abstracting differences by variables. We study anti-unification for full fuzzy signatures, where thenotion of common structure is relaxed into a ``proximal'' one with re-spect to a given proximity relation. Mismatches between both symbolnames and their arities are permitted. We develop algorithms for different cases of the problem and study their properties.},
number = {21-09},
year = {2021},
month = {April},
keywords = {Fuzzy proximity relations, Generalization, Anti-unification, Arity mismatch},
length = {15},
type = {RISC Report Series},
institution = {Research Institute for Symbolic Computation (RISC), Johannes Kepler University Linz},
address = {Altenberger Straße 69, 4040 Linz, Austria},
issn = {2791-4267 (online)}
}

[Pau]

Proximity-Based Unification and Matching for Fully Fuzzy Signatures

Cleo Pau, Temur Kutsia

In: Proceedings of the 30th IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2021, , pp. 1-6. 2021. IEEE, isbn 978-1-6654-4407-1. [doi] [pdf]

[bib]

@inproceedings{RISC6369,
author = {Cleo Pau and Temur Kutsia},
title = {{Proximity-Based Unification and Matching for Fully Fuzzy Signatures}},
booktitle = {{Proceedings of the 30th IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2021}},
language = {english},
pages = {1--6},
publisher = {IEEE},
isbn_issn = {isbn 978-1-6654-4407-1},
year = {2021},
editor = { },
refereed = {yes},
length = {6},
url = {https://doi.org/10.1109/FUZZ45933.2021.9494438}
}

2020

[Pau]

Constraint Solving over Multiple Similarity Relations

Besik Dundua, Temur Kutsia, Mircea Marin, Cleopatra Pau

In: Proceedings of the 5th International Conference on Formal Structures for Computation and Deduction (FSCD 2020), Zena M. Ariola (ed.), Leibniz International Proceedings in Informatics (LIPIcs) 167, pp. 30:1-30:19. 2020. Schloss Dagstuhl-Leibniz-Zentrum für Informatik, ISBN 978-3-95977-155-9, ISSN 1868-8969. [doi]

[bib]

@inproceedings{RISC6133,
author = {Besik Dundua and Temur Kutsia and Mircea Marin and Cleopatra Pau},
title = {{Constraint Solving over Multiple Similarity Relations}},
booktitle = {{Proceedings of the 5th International Conference on Formal Structures for Computation and Deduction (FSCD 2020)}},
language = {english},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
volume = {167},
pages = {30:1--30:19},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum für Informatik},
isbn_issn = {ISBN 978-3-95977-155-9, ISSN 1868-8969},
year = {2020},
editor = {Zena M. Ariola},
refereed = {yes},
length = {19},
url = {https://doi.org/10.4230/LIPIcs.FSCD.2020.30}
}

[Pau]

Extending the 𝜌Log Calculus with Proximity Relations

Besik Dundua, Temur Kutsia, Mircea Marin, Cleo Pau

In: AMINSE 2019: Applications of Mathematics and Informatics in Natural Sciences and Engineering, George Jaiani, David Natroshvili (ed.), Springer Proceedings in Mathematics & Statistics 334, pp. 83-100. 2020. Springer, ISBN 978-3-030-56356-1, 978-3-030-56355-4. [doi] [pdf]

[bib]

@incollection{RISC6227,
author = {Besik Dundua and Temur Kutsia and Mircea Marin and Cleo Pau},
title = {{Extending the 𝜌Log Calculus with Proximity Relations}},
booktitle = {{AMINSE 2019: Applications of Mathematics and Informatics in Natural Sciences and Engineering}},
language = {english},
series = {Springer Proceedings in Mathematics & Statistics},
volume = {334},
pages = {83--100},
publisher = {Springer},
isbn_issn = {ISBN 978-3-030-56356-1, 978-3-030-56355-4},
year = {2020},
editor = {George Jaiani and David Natroshvili},
refereed = {yes},
length = {18},
url = {https://doi.org/10.1007/978-3-030-56356-1_6}
}

[Pau]

Proximity-based Unification with Arity Mismatch

Temur Kutsia, Cleo Pau

In: Proceedings of the 34th International Workshop on Unification, Temur Kutsia, Andrew M. Marshall (ed.), pp. 9:1-9:6. 2020.

[bib]

@inproceedings{RISC6295,
author = {Temur Kutsia and Cleo Pau},
title = {{Proximity-based Unification with Arity Mismatch}},
booktitle = {{Proceedings of the 34th International Workshop on Unification}},
language = {english},
pages = {9:1--9:6},
isbn_issn = { },
year = {2020},
editor = {Temur Kutsia and Andrew M. Marshall},
refereed = {yes},
length = {6}
}

2019

[Pau]

Computing All Maximal Clique Partitions in a Graph

Temur Kutsia, Cleo Pau

Technical report no. 19-04 in RISC Report Series, Research Institute for Symbolic Computation (RISC), Johannes Kepler University Linz, Austria. ISSN 2791-4267 (online). 2019. [pdf]

[bib]

@techreport{RISC5939,
author = {Temur Kutsia and Cleo Pau},
title = {{Computing All Maximal Clique Partitions in a Graph}},
language = {english},
number = {19-04},
year = {2019},
length = {9},
type = {RISC Report Series},
institution = {Research Institute for Symbolic Computation (RISC), Johannes Kepler University Linz},
address = {Altenberger Straße 69, 4040 Linz, Austria},
issn = {2791-4267 (online)}
}

[Pau]

Solving Proximity Constraints

Temur Kutsia, Cleo Pau

Technical report no. 19-06 in RISC Report Series, Research Institute for Symbolic Computation (RISC), Johannes Kepler University Linz, Austria. ISSN 2791-4267 (online). 2019. [pdf]

[bib]

@techreport{RISC5950,
author = {Temur Kutsia and Cleo Pau},
title = {{Solving Proximity Constraints}},
language = {english},
number = {19-06},
year = {2019},
length = {22},
type = {RISC Report Series},
institution = {Research Institute for Symbolic Computation (RISC), Johannes Kepler University Linz},
address = {Altenberger Straße 69, 4040 Linz, Austria},
issn = {2791-4267 (online)}
}

[Pau]

Matching and Generalization Modulo Proximity and Tolerance

Temur Kutsia, Cleo Pau

Technical report no. 19-07 in RISC Report Series, Research Institute for Symbolic Computation (RISC), Johannes Kepler University Linz, Austria. ISSN 2791-4267 (online). 2019. [pdf]

[bib]

@techreport{RISC5953,
author = {Temur Kutsia and Cleo Pau},
title = {{Matching and Generalization Modulo Proximity and Tolerance}},
language = {english},
number = {19-07},
year = {2019},
length = {5},
type = {RISC Report Series},
institution = {Research Institute for Symbolic Computation (RISC), Johannes Kepler University Linz},
address = {Altenberger Straße 69, 4040 Linz, Austria},
issn = {2791-4267 (online)}
}

[Pau]

Solving Proximity Constraints

Temur Kutsia, Cleo Pau

In: Logic-Based Program Synthesis and Transformation - 29th International Symposium, LOPSTR 2019. Revised Selected Papers, Maurizio Gabbrielli (ed.), Lecture Notes in Computer Science 12042, pp. 107-122. 2019. ISBN 978-3-030-45259-9. [pdf]

[bib]

@inproceedings{RISC6100,
author = {Temur Kutsia and Cleo Pau},
title = {{Solving Proximity Constraints}},
booktitle = {{Logic-Based Program Synthesis and Transformation - 29th International Symposium, LOPSTR 2019. Revised Selected Papers}},
language = {english},
series = {Lecture Notes in Computer Science },
volume = {12042},
pages = {107--122},
isbn_issn = {ISBN 978-3-030-45259-9},
year = {2019},
editor = {Maurizio Gabbrielli},
refereed = {yes},
length = {16}
}

[Pau]

Solving Proximity Constraints

Temur Kutsia, Cleo Pau

In: 33nd International Workshop on Unification, UNIF 2019, Daniele Nantes, Serdar Erbatur (ed.), pp. --. 2019.

[bib]

@inproceedings{RISC6298,
author = {Temur Kutsia and Cleo Pau},
title = {{Solving Proximity Constraints}},
booktitle = {{33nd International Workshop on Unification, UNIF 2019}},
language = {english},
pages = {----},
isbn_issn = { },
year = {2019},
editor = {Daniele Nantes and Serdar Erbatur},
refereed = {yes},
length = {0}
}

2018

[Pau]

Proximity-Based Generalization

Temur Kutsia, Cleo Pau

In: 32nd International Workshop on Unification, UNIF 2018, Mauricio Ayala-Rincon and Philippe Balbiani (ed.), pp. - . 2018. [pdf]

[bib]

@inproceedings{RISC5713,
author = {Temur Kutsia and Cleo Pau},
title = {{Proximity-Based Generalization}},
booktitle = {{32nd International Workshop on Unification, UNIF 2018}},
language = {english},
pages = { -- },
isbn_issn = { },
year = {2018},
editor = {Mauricio Ayala-Rincon and Philippe Balbiani},
refereed = {yes},
length = {0}
}

2000

[Pau]

Verifying Mutual Exclusion and Liveness Properties with TLA

Ioana-Cleopatra Pau, Igor Rents, Wolfgang Schreiner

Technical report no. 00-06 in RISC Report Series, Research Institute for Symbolic Computation (RISC), Johannes Kepler University Linz, Austria. ISSN 2791-4267 (online). January 2000. [ps]

[bib]

@techreport{RISC1485,
author = {Ioana-Cleopatra Pau and Igor Rents and Wolfgang Schreiner},
title = {{Verifying Mutual Exclusion and Liveness Properties with TLA}},
number = {00-06},
year = {2000},
month = {January},
sponsor = {FWF},
type = {RISC Report Series},
institution = {Research Institute for Symbolic Computation (RISC), Johannes Kepler University Linz},
address = {Altenberger Straße 69, 4040 Linz, Austria},
issn = {2791-4267 (online)}
}

[Pau]

Distributed Mathematica - User and Reference Manual

Cleopatra Pau, Wolfgang Schreiner

Technical report no. 00-25 in RISC Report Series, Research Institute for Symbolic Computation (RISC), Johannes Kepler University Linz, Austria. ISSN 2791-4267 (online). July 2000. [ps]

[bib]

@techreport{RISC1504,
author = {Cleopatra Pau and Wolfgang Schreiner},
title = {{Distributed Mathematica - User and Reference Manual}},
number = {00-25},
year = {2000},
month = {July},
type = {RISC Report Series},
institution = {Research Institute for Symbolic Computation (RISC), Johannes Kepler University Linz},
address = {Altenberger Straße 69, 4040 Linz, Austria},
issn = {2791-4267 (online)}
}