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Theofanis Aravanis
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- 2026
[j18]Theofanis Aravanis:
A relational framework for preference change. Log. J. IGPL 34(1) (2026)
[j17]Theofanis Aravanis
:
Non-prioritised kernel contraction. J. Appl. Non Class. Logics 36(1): 147-174 (2026)- 2025
[j16]Maria Andrikopoulou, Theofanis Aravanis, James P. Delgrande, Panagis Karazeris, Pavlos Peppas:
Filters-based revision. Ann. Math. Artif. Intell. 93(5): 633-659 (2025)
[j15]Theofanis I. Aravanis
:
Towards machine learning as AGM-style belief change. Int. J. Approx. Reason. 183: 109437 (2025)
[j14]Theofanis I. Aravanis:
On the Consistency between Belief Revision and Belief Update. J. Artif. Intell. Res. 82: 1743-1771 (2025)
[j13]Theofanis Aravanis
:
Belief Structures in the Realm of Belief Contraction. J. Log. Lang. Inf. 34(5): 601-633 (2025)
[j12]Theofanis Aravanis:
Tailoring disjoint belief structures to the AGM framework. J. Log. Comput. 35(4) (2025)
[c17]Ioannis Karamitsos, Theofanis Aravanis, Andreas Kanavos:
From Reviews to Representations: Integrated Big Data Analytics on Amazon Product Metadata. IEEE Big Data 2025: 6527-6534
[c16]Vassilis C. Gerogiannis
, Theofanis Aravanis
, Efstratios Emmanouil Tzirtzilakis
, Andreas Kanavos
:
An Efficient Deep Learning Framework for Real-Time Gender Classification from Facial Images. ICACS 2025: 73-78
[i2]Theofanis Aravanis:
Machine Learning as Iterated Belief Change a la Darwiche and Pearl. CoRR abs/2506.13157 (2025)
[i1]Theofanis Aravanis, Grigorios Chrimatopoulos, Mohammad Ferdows, Michalis Xenos, Efstratios Emmanouil Tzirtzilakis:
ASP-Assisted Symbolic Regression: Uncovering Hidden Physics in Fluid Mechanics. CoRR abs/2507.17777 (2025)- 2024
[c15]Theofanis Aravanis, Grigorios Chrimatopoulos
, Michalis Xenos, Efstratios Emmanouil Tzirtzilakis:
Machine-Learning Modelling of a Fluid Flow in a Two-Dimensional Channel. IISA 2024: 1-8
[c14]Theofanis Aravanis
, Grigorios Chrimatopoulos
, Michalis Xenos
, Efstratios Emmanouil Tzirtzilakis
:
Machine Learning-Based Geometric Interpolation for Fluid-Flow Modelling. PCI 2024: 407-412- 2023
[j11]Theofanis I. Aravanis
:
Deductive belief change. Ann. Math. Artif. Intell. 91(4): 489-515 (2023)
[j10]Theofanis I. Aravanis:
Collective Belief Revision. J. Artif. Intell. Res. 78: 1221-1247 (2023)
[j9]Theofanis I. Aravanis
:
Generalizing Parikh's Criterion for Relevance-Sensitive Belief Revision. ACM Trans. Comput. Log. 24(2): 18:1-18:29 (2023)
[c13]Theofanis Aravanis, Aristeidis Ilias
, Ioannis Hatzilygeroudis, Georgios Spiliopoulos
:
Predicting Fish-Mortality: Artificial Neural Networks vs Symbolic Regression. IISA 2023: 1-7- 2022
[j8]Theofanis I. Aravanis
, Pavlos Peppas
:
Theory-relational belief revision. Ann. Math. Artif. Intell. 90(6): 573-594 (2022)
[j7]Theofanis I. Aravanis
:
An ASP-based solver for parametrized-difference revision. J. Log. Comput. 32(3): 630-666 (2022)
[c12]Theofanis I. Aravanis
:
Incorporating Belief Merging into Relevance-Sensitive Belief Structures. PCI 2022: 8-13
[c11]Theofanis I. Aravanis
, Ioannis Kabouris
:
A Neuro-Symbolic Approach for Fault Diagnosis in Smart Power Grids. PCI 2022: 90-95- 2021
[j6]Theofanis I. Aravanis
, Pavlos Peppas
, Mary-Anne Williams
:
An investigation of parametrized difference revision operators. Ann. Math. Artif. Intell. 89(1-2): 7-28 (2021)
[j5]Theofanis I. Aravanis
:
Relevance in Belief Update. J. Artif. Intell. Res. 72: 251-283 (2021)
[c10]Theofanis I. Aravanis, Andreas Petratos, Georgia Douklia, Efpraxia Plati:
Search Problems in Contemporary Power Girds. EANN 2021: 331-342
[c9]Theofanis I. Aravanis
:
Relevance-Sensitive Belief Revision in the Realm of Partial Preorders. PCI 2021: 1-5- 2020
[j4]Theofanis I. Aravanis
, Pavlos Peppas
, Mary-Anne Williams
:
Incompatibilities Between Iterated and Relevance-Sensitive Belief Revision. J. Artif. Intell. Res. 69: 85-108 (2020)
[j3]Theofanis I. Aravanis
, Pavlos Peppas
, Mary-Anne Williams
:
A study of possible-worlds semantics of relevance-sensitive belief revision. J. Log. Comput. 30(5): 1125-1142 (2020)
[j2]Theofanis I. Aravanis
:
On uniform belief revision. J. Log. Comput. 30(7): 1357-1376 (2020)
[c8]Theofanis I. Aravanis, Andreas Petratos, Georgia Douklia:
An ASP-Based Approach for Phase Balancing in Power Electrical Systems. EANN 2020: 511-520
[c7]Theofanis I. Aravanis
, Pavlos Peppas
, Mary-Anne Williams
:
Modelling Belief-Revision Functions at Extended Languages. ECAI 2020: 601-607
2010 – 2019
- 2019
[b1]Theofanis I. Aravanis:
Relevance and knowledge dynamics for intelligent agents. University of Patras, Greece, 2019
[j1]Theofanis I. Aravanis
, Pavlos Peppas
, Mary-Anne Williams
:
Full Characterization of Parikh's Relevance-Sensitive Axiom for Belief Revision. J. Artif. Intell. Res. 66: 765-792 (2019)
[c6]Theofanis I. Aravanis
, Tryfon-Chrysovalantis I. Aravanis, Polydoros N. Papadopoulos
:
Fault Diagnosis in Direct Current Electric Motors via an Artificial Neural Network. EANN 2019: 488-498
[c5]Theofanis I. Aravanis
, Pavlos Peppas
, Mary-Anne Williams
:
Observations on Darwiche and Pearl's Approach for Iterated Belief Revision. IJCAI 2019: 1509-1515- 2018
[c4]Theofanis I. Aravanis
, Konstantinos Demiris, Pavlos Peppas
:
Legal Reasoning in Answer Set Programming. ICTAI 2018: 302-306
[c3]Theofanis I. Aravanis
, Pavlos Peppas
, Mary-Anne Williams
:
Iterated Belief Revision and Dalal's Operator. SETN 2018: 26:1-26:4- 2017
[c2]Theofanis I. Aravanis
, Pavlos Peppas
, Mary-Anne Williams
:
Epistemic-entrenchment Characterization of Parikh's Axiom. IJCAI 2017: 772-778
[c1]Theofanis I. Aravanis
, Pavlos Peppas
:
Belief Revision in Answer Set Programming. PCI 2017: 2:1-2:5
Coauthor Index

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last updated on 2026-05-08 22:47 CEST by the dblp team
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