FlyTrap: A Blockchain-based Proxy for Authorisation and Audit of MQTT Connections
- Digital Object Identifier
- https://doi.org/10.1109/IOTSMS53705.2021.9704968
- Open Access
- https://aura.abdn.ac.uk/bitstreams/aa268365-10a4-45b7-9f0c-d0e5b39ce707/download
Publications
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Using Agent-Based Simulation to Investigate Behavioral Interventions in a Pandemic: Simulating Behavioral Interventions in a Pandemic
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Detecting Logical Relation In Contract Clauses
- Digital Object Identifier
- https://doi.org/10.48550/arXiv.2111.01856
- Open Access
- https://aura.abdn.ac.uk/bitstreams/b632f612-0d56-4ad9-ab2c-eea72a4995c2/download
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The Accountability Fabric: A Suite of Semantic Tools For Managing AI System Accountability and Audit
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Gradual Semantics for Weighted Bipolar SETAFs
- Digital Object Identifier
- https://doi.org/10.1007/978-3-030-86772-0_15
- Open Access
- https://aura.abdn.ac.uk/bitstreams/84879d4e-4926-45d2-87ac-b9d511c185a2/download
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Visual Explanation for Identification of the Brain Bases for Developmental Dyslexia on fMRI Data
- Online
- https://www.frontiersin.org/articles/10.3389/fncom.2021.594659/full#supplementary-material
- Digital Object Identifier
- https://doi.org/10.3389/fncom.2021.594659
- Open Access
- https://aura.abdn.ac.uk/bitstreams/4f82cdcf-4987-4232-8123-d290d2c075cb/download
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- View publication in Scopus
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A Survey on Goal Recognition as Planning
- Digital Object Identifier
- https://doi.org/10.24963/ijcai.2021/616 PDF BibTeX
- Additional Links
- View publication in Scopus
- https://repositorio.pucrs.br/dspace/bitstream/10923/18609/2/A_Survey_on_Goal_Recognition_as_Planning.pdf
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Commentary to the Commission’s proposal for the “AI Act” – Response to selected issues
- Online
- https://ec.europa.eu/info/law/better-regulation/have-your-say/initiatives/12527-Artificial-intelligence-ethical-and-legal-requirements/F2665397_en
- Additional Links
- https://ec.europa.eu/info/law/better-regulation/have-your-say/initiatives/12527-Artificial-intelligence-ethical-and-legal-requirements_en
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On Evidence Capture for Accountable AI Systems
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Towards Accountability Driven Development for Machine Learning Systems