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Liability Regimes in the Age of AI: a Use-Case Driven Analysis of the Burden of Proof.

, , , , and . J. Artif. Intell. Res., (2023)

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Liability Regimes in the Age of AI: a Use-Case Driven Analysis of the Burden of Proof., , , , and . J. Artif. Intell. Res., (2023)Extraction of Temporal Network Structures From Graph-Based Signals., , , and . IEEE Trans. Signal and Information Processing over Networks, 2 (2): 215-226 (2016)Heuristic for solving cyclic bandwidth sum problem by following the structure of the graph., , , and . CoRR, (2014)Assessment of musical noise using localization of isolated peaks in time-frequency domain., , , , and . ICASSP, page 696-700. IEEE, (2017)The role of explainable AI in the context of the AI Act., , , , , , , , , and 1 other author(s). FAccT, page 1139-1150. ACM, (2023)Nonnegative matrix factorization to find features in temporal networks., , , and . ICASSP, page 1065-1069. IEEE, (2014)Convex nonnegative matrix factorization with missing data., , and . MLSP, page 1-6. IEEE, (2016)Networks as signals, with an application to a bike sharing system., , , and . GlobalSIP, page 611-614. IEEE, (2013)Exploring the Feasibility of Physical Adversarial Attacks: A Cybersecurity Study., and . ECAI, volume 372 of Frontiers in Artificial Intelligence and Applications, page 980-987. IOS Press, (2023)Bridging the Gap Between AI and Explainability in the GDPR: Towards Trustworthiness-by-Design in Automated Decision-Making., , , , and . IEEE Comput. Intell. Mag., 17 (1): 72-85 (2022)