• The hybrid flexible flowshop with transportation times 

  Armstrong, Eddie; Garraffa, Michele; O'Sullivan, Barry; Simonis, Helmut (Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2021-10-15)

  This paper presents the hybrid, flexible flowshop problem with transportation times between stages, which is an extension of an existing scheduling problem that is well-studied in the literature. We explore different models ...
• Ethical data curation for AI: An approach based on feminist epistemology and critical theories of race 

  Leavy, Susan; Siapera, Eugenia; O'Sullivan, Barry (Association for Computing Machinery, 2021-05-19)

  The potential for bias embedded in data to lead to the perpetuation of social injustice though Artificial Intelligence (AI) necessitates an urgent reform of data curation practices for AI systems, especially those based ...
• Efficient exact computation of setwise minimax regret for interactive preference elicitation 

  Toffano, Federico; Viappiani, Paolo; Wilson, Nic (ACM; International Foundation for Autonomous Agents and Multiagent Systems, 2021-05-03)

  A key issue in artificial intelligence methods for interactive preference elicitation is choosing at each stage an appropriate query to the user, in order to find a near-optimal solution as quickly as possible. A theoretically ...
• Partial (neighbourhood) singleton arc consistency for constraint satisfaction problems 

  Wallace, Richard J. (AAAI Press, 2018-05)

  Algorithms based on singleton arc consistency (SAC) show considerable promise for improving backtrack search algorithms for constraint satisfaction problems (CSPs). The drawback is that even the most efficient of them is ...
• Adversarial command detection using parallel Speech Recognition systems 

  Cheng, Peng; Sankar M. S., Arun; Bagci, Ibrahim Ethem; Roedig, Utz (2021)

  Personal Voice Assistants (PVAs) such as Apple's Siri, Amazon's Alexa and Google Home are now commonplace. PVAs are susceptible to adversarial commands; an attacker is able to modify an audio signal such that humans do not ...

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