Julio De Melo Borges

Feature engineering for crime hotspot detection

Michael Beigl, Nélio Cacho, Patrick Frey, 2017, 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI).

Leveraging spatio-temporal clustering for participatory urban infrastructure monitoring

Matthias Budde, Michael Beigl, Till Riedel, 2014, Urb-IoT.

Towards two-tier citizen sensing

Matthias Budde, Michael Beigl, Till Riedel, 2016, 2016 IEEE International Smart Cities Conference (ISC2).

Event detection for smarter cities

Michael Beigl, Julio De Melo Borges, Simon Sudrich, 2017, 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI).

Sequential pattern mining — A study to understand daily activity patterns for load forecasting enhancement

Michael Beigl, Yong Ding, Martin Alexander Neumann, 2015, 2015 IEEE First International Smart Cities Conference (ISC2).

Anomaly Detection in Evolving Heterogeneous Graphs

Michael Beigl, Julio De Melo Borges, Simon Sudrich, 2017, 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData).

Time-Series Features for Predictive Policing

Leonardo C. T. Bezerra, Michael Beigl, Nélio Cacho, 2018, 2018 IEEE International Smart Cities Conference (ISC2).

Advances in Event Detection

Michael Beigl, Julio De Melo Borges, Simon Sudrich, 2017, 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData).

Urban Anomaly Detection: a Use-Case for Participatory Infra-Structure Monitoring

Michael Beigl, Till Riedel, Julio De Melo Borges, 2016, Urb-IoT.

Interestingness Classification of Association Rules for Master Data

Michael Beigl, Wei Han, Yong Ding, 2017, ICDM.

Towards a Crime Hotspot Detection Framework for Patrol Planning

Leonardo C. T. Bezerra, Nélio Cacho, Carlos Vieira, 2018, 2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS).

Graph-based anomaly detection for smart cities: A survey

Michael Beigl, Julio De Melo Borges, Simon Sudrich, 2017, 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI).

EstaVis: A Real-World Interactive Platform for Crowdsourced Visual Urban Analytics

Matthias Budde, Michael Beigl, Andrea Schankin, 2016, Urb-IoT.

Predicting Target Events in Industrial Domains

Michael Beigl, Yong Ding, Martin Alexander Neumann, 2017, MLDM.