@prefix ocrer: <http://purl.org/net/OCRe/research.owl#> .
@prefix owl:   <http://www.w3.org/2002/07/owl#> .
@prefix scires: <http://vivoweb.org/ontology/scientific-research#> .
@prefix xsd:   <http://www.w3.org/2001/XMLSchema#> .
@prefix skos:  <http://www.w3.org/2004/02/skos/core#> .
@prefix rdfs:  <http://www.w3.org/2000/01/rdf-schema#> .
@prefix ocresd: <http://purl.org/net/OCRe/study_design.owl#> .
@prefix swo:   <http://www.ebi.ac.uk/efo/swo/> .
@prefix cito:  <http://purl.org/spar/cito/> .
@prefix geo:   <http://aims.fao.org/aos/geopolitical.owl#> .
@prefix ocresst: <http://purl.org/net/OCRe/statistics.owl#> .
@prefix dcterms: <http://purl.org/dc/terms/> .
@prefix vivo:  <http://vivoweb.org/ontology/core#> .
@prefix event: <http://purl.org/NET/c4dm/event.owl#> .
@prefix vann:  <http://purl.org/vocab/vann/> .
@prefix foaf:  <http://xmlns.com/foaf/0.1/> .
@prefix c4o:   <http://purl.org/spar/c4o/> .
@prefix fabio: <http://purl.org/spar/fabio/> .
@prefix vcard: <http://www.w3.org/2006/vcard/ns#> .
@prefix thkoeln: <http://cris.nrw/hisinone#> .
@prefix vitro: <http://vitro.mannlib.cornell.edu/ns/vitro/0.7#> .
@prefix vitro-public: <http://vitro.mannlib.cornell.edu/ns/vitro/public#> .
@prefix rdf:   <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix ocresp: <http://purl.org/net/OCRe/study_protocol.owl#> .
@prefix bibo:  <http://purl.org/ontology/bibo/> .
@prefix obo:   <http://purl.obolibrary.org/obo/> .
@prefix ro:    <http://purl.obolibrary.org/obo/ro.owl#> .

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                <https://fis.th-koeln.de/vivo/individual/publ_20594> .

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        rdfs:label                "Tuning for Trustworthiness" , "RDF description of Tuning for Trustworthiness - https://fis.th-koeln.de/vivo/individual/publ_20594" ;
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        thkoeln:dokumententyp     "Wissenschaftlicher Artikel" ;
        thkoeln:sprache           "englisch" ;
        thkoeln:status            "validiert" ;
        thkoeln:subtitle          "Balancing Performance and Explanation Consistency in Neural Network Optimization" ;
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                <https://fis.th-koeln.de/vivo/individual/FF_001> ;
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                <https://fis.th-koeln.de/vivo/individual/11000300> ;
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                <https://fis.th-koeln.de/vivo/individual/cite_20594-1> , <https://fis.th-koeln.de/vivo/individual/cite_20594-0> , <https://fis.th-koeln.de/vivo/individual/cite_20594-2> ;
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        bibo:abstract             "Despite the growing interest in Explainable Artificial Intelligence (XAI),  explainability is rarely considered during hyperparameter tuning or neural  architecture optimization, where the focus remains primarily on minimizing  predictive loss. In this work, we introduce the novel concept of XAI  consistency, defined as the agreement among different feature attribution  methods, and propose new metrics to quantify it. For the first time, we  integrate XAI consistency directly into the hyperparameter tuning objective,  creating a multi-objective optimization framework that balances predictive  performance with explanation robustness. Implemented within the Sequential  Parameter Optimization Toolbox (SPOT), our approach uses both weighted  aggregation and desirability-based strategies to guide model selection. Through  our proposed framework and supporting tools, we explore the impact of  incorporating XAI consistency into the optimization process. This enables us to  characterize distinct regions in the architecture configuration space: one  region with poor performance and comparatively low interpretability, another  with strong predictive performance but weak interpretability due to low  \\\\gls{xai} consistency, and a trade-off region that balances both objectives by  offering high interpretability alongside competitive performance. Beyond  introducing this novel approach, our research provides a foundation for future  investigations into whether models from the trade-off zone-balancing  performance loss and XAI consistency-exhibit greater robustness by avoiding  overfitting to training performance, thereby leading to more reliable  predictions on out-of-distribution data." ;
        vitro:mostSpecificType    thkoeln:Journalartikel ;
        vivo:dateTimeValue        <http://cris.nrw/date2025> ;
        vivo:freetextKeyword      "hyperparameter tuning" , "desirability function" , "surrogate modeling" , "XAI" , "multi-objective optimization" ;
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                <https://fis.th-koeln.de/vivo/individual/publ_20594> .

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        a             obo:BFO_0000001 , obo:BFO_0000020 , vivo:Authorship , vivo:Relationship , obo:BFO_0000002 , owl:Thing ;
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