• Assigning and scheduling service visits in a mixed urban/rural setting 

  Antunes, Mark; Armant, Vincent; Brown, Kenneth N.; Desmond, Daniel; Escamocher, Guillaume; George, Anne-Marie; Grimes, Diarmuid; O'Keeffe, Mike; Lin, Yiqing; O'Sullivan, Barry; Ozturk, Cemalettin; Quesada, Luis; Siala, Mohamed; Simonis, Helmut; Wilson, Nic (World Scientific Publishing Company, 2020-06-18)

  This paper describes a maintenance scheduling application, which was developed together with an industrial partner. This is a highly combinatorial decision process, to plan and schedule the work of a group of travelling ...
• Motion sensors-based machine learning approach for the identification of anterior cruciate ligament gait patterns in on-the-field activities in rugby players 

  Tedesco, Salvatore; Crowe, Colum; Ryan, Andrew; Sica, Marco; Scheurer, Sebastian; Clifford, Amanda M.; Brown, Kenneth N.; O’Flynn, Brendan (MDPI, 2020-05-27)

  Anterior cruciate ligament (ACL) injuries are common among athletes. Despite a successful return to sport (RTS) for most of the injured athletes, a significant proportion do not return to competitive levels, and thus RTS ...
• Using domain knowledge for interpretable and competitive multi-class human activity recognition 

  Scheurer, Sebastian; Tedesco, Salvatore; Brown, Kenneth N.; O'Flynn, Brendan (MDPI, 2020-02-22)

  Human activity recognition (HAR) has become an increasingly popular application of machine learning across a range of domains. Typically the HAR task that a machine learning algorithm is trained for requires separating ...
• Candidate selection and instance ordering for realtime algorithm configuration 

  Fitzgerald, Tadhg; O'Sullivan, Barry (IOS Press, 2019-03-14)

  Many modern combinatorial solvers have a variety of parameters through which a user can customise their behaviour. Algorithm configuration is the process of selecting good values for these parameters in order to improve ...
• Subprofile-aware diversification of recommendations 

  Kaya, Mesut; Bridge, Derek (Springer Verlag, 2019-04-20)

  A user of a recommender system is more likely to be satisfied by one or more of the recommendations if each individual recommendation is relevant to her but additionally if the set of recommendations is diverse. The most ...

View more