• Monitoring emergency first responders' activities via gradient boosting and inertial sensor data 

  Scheurer, Sebastian; Tedesco, Salvatore; Manzano, Óscar; Brown, Kenneth N.; O'Flynn, Brendan (Springer, 2019-01-18)

  Emergency first response teams during operations expend much time to communicate their current location and status with their leader over noisy radio communication systems. We are developing a modular system to provide as ...
• Subject-dependent and -independent human activity recognition with person-specific and -independent models 

  Scheurer, Sebastian; Tedesco, Salvatore; Brown, Kenneth N.; O'Flynn, Brendan (Association for Computing Machinery, ACM, 2019-09-16)

  The distinction between subject-dependent and subject-independent performance is ubiquitous in the Human Activity Recognition (HAR) literature. We test the hypotheses that HAR models achieve better subject-dependent ...
• A comparison of calibrated and intent-aware recommendations 

  Kaya, Mesut; Bridge, Derek (Association for Computing Machinery (ACM), 2019-09)

  Calibrated and intent-aware recommendation are recent approaches to recommendation that have apparent similarities. Both try, to a certain extent, to cover the user's interests, as revealed by her user profile. In this ...
• Balancing schedules using maximum leximin 

  Toffano, Federico; Wilson, Nic (Springer, 2019-09-04)

  We consider the problem of assigning, in a fair way, time limits for processes in manufacturing a product, subject to a deadline where the duration of each activity can be uncertain. We focus on an approach based on choosing ...
• Analytics-based decomposition of a class of bilevel problems 

  Fajemisin, Adejuyigbe; Climent, Laura; Prestwich, Steven D. (Springer Nature Switzerland AG, 2019-06-15)

  This paper proposes a new class of multi-follower bilevel problems. In this class the followers may be nonlinear, do not share constraints or variables, and are at most weakly constrained. This allows the leader variables ...

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