https://ogma.newcastle.edu.au/vital/access/ /manager/Index en-au 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39899 LiDAR (Linked Incident identification with DAta-driven Representation), a deep learning based approach to incident linking. More specifically, we incorporate the textual description of incidents and structural information extracted from historical linked incidents to identify possible links among a large number of incidents. To show the effectiveness of our method, we apply our method to a real-world IcM system and find that our method outperforms other state-of-the-art methods.]]> Wed 06 Jul 2022 09:15:10 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39871 Wed 06 Jul 2022 08:49:22 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:41877 Tue 16 Aug 2022 09:42:16 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:44305 Tue 11 Oct 2022 15:58:58 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:42143 Fri 19 Aug 2022 13:39:06 AEST ]]>