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Managing Standardization in eGovernment: A Coordination Theory based Analysis Framework17th International Conference on Electronic Government (EGOV), Sep 2018, Krems, Austria. pp.60-72, ⟨10.1007/978-3-319-98690-6_6⟩
Conference papers
hal-01961534v1
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Adoption of E-Government Requirements to Higher Education Institutions Regarding the Digital Transformation13th International Conference on Electronic Participation (ePart), Sep 2021, Granada, Spain. pp.90-104, ⟨10.1007/978-3-030-82824-0_8⟩
Conference papers
hal-04014066v1
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Immersive Interactive Information Mining with Application to Earth Observation Data Retrieval1st Cross-Domain Conference and Workshop on Availability, Reliability, and Security in Information Systems (CD-ARES), Sep 2013, Regensburg, Germany. pp.376-386
Conference papers
hal-01506787v1
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Predicting the Outcome of Appeal Decisions in Germany’s Tax Law9th International Conference on Electronic Participation (ePart), Sep 2017, St. Petersburg, Russia. pp.89-99, ⟨10.1007/978-3-319-64322-9_8⟩
Conference papers
hal-01703326v1
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Towards the Implementation of the EU-Wide “Once-Only Principle”: Perceptions of Citizens in the DACH-Region17th International Conference on Electronic Government (EGOV), Sep 2018, Krems, Austria. pp.155-166, ⟨10.1007/978-3-319-98690-6_14⟩
Conference papers
hal-01961531v1
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How to Streamline AI Application in Government? A Case Study on Citizen Participation in Germany18th International Conference on Electronic Government (EGOV), Sep 2019, San Benedetto del Tronto, Italy. pp.233-247, ⟨10.1007/978-3-030-27325-5_18⟩
Conference papers
hal-02445808v1
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Why Realization Mismatches Expectations of e-Government Project Benefits? Towards Benefit Realization Planning14th International Conference on Electronic Government (EGOV), Aug 2015, Thessaloniki, Greece. pp.233-245, ⟨10.1007/978-3-319-22479-4_18⟩
Conference papers
hal-01412274v1
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Components of Trust Influencing eGovernment Adoption in Germany10th Electronic Government (EGOV), Aug 2011, Delft, Netherlands. pp.88-99, ⟨10.1007/978-3-642-22878-0_8⟩
Conference papers
hal-01589102v1
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Explainable Deep Learning for Fault Prognostics in Complex Systems: A Particle Accelerator Use-Case4th International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE), Aug 2020, Dublin, Ireland. pp.139-158, ⟨10.1007/978-3-030-57321-8_8⟩
Conference papers
hal-03414728v1
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