| Mining large-scale human mobility data for long-term crime prediction C Kadar, I Pletikosa EPJ Data Science 7 (1), 1-27, 2018 | 79 | 2018 |
| Public decision support for low population density areas: An imbalance-aware hyper-ensemble for spatio-temporal crime prediction C Kadar, R Maculan, S Feuerriegel Decision Support Systems 119, 107-117, 2019 | 71 | 2019 |
| Automatic classification of change requests for improved it service quality C Kadar, D Wiesmann, J Iria, D Husemann, M Lucic 2011 Annual SRII Global Conference, 430-439, 2011 | 35 | 2011 |
| A data-driven agent-based simulation to predict crime patterns in an urban environment R Rosés, C Kadar, N Malleson Computers, Environment and Urban Systems 89, 101660, 2021 | 32 | 2021 |
| Measuring ambient population from location-based social networks to describe urban crime C Kadar, R Rosés Brüngger, I Pletikosa International conference on social informatics, 521-535, 2017 | 32 | 2017 |
| Exploring Foursquare-derived features for crime prediction in New York City C Kadar, J Iria, IP Cvijikj The 5th International Workshop on Urban Computing (UrbComp 2016), 2016 | 31 | 2016 |
| Agent-Based Simulation of Offender Mobility: Integrating Activity Nodes from Location-Based Social Networks. R Rosés, C Kadar, C Gerritsen, C Rouly Aamas, 804-812, 2018 | 20 | 2018 |
| Digital Neighborhood Watch: To share or not to share? C Kadar, YF Te, R Rosés Brüngger, I Pletikosa Cvijikj Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors …, 2016 | 20 | 2016 |
| Automatically identifying tag types K Bischoff, CS Firan, C Kadar, W Nejdl, R Paiu Advanced Data Mining and Applications: 5th International Conference, ADMA …, 2009 | 19 | 2009 |
| Towards a crowdsourcing approach for crime prevention IP Cvijikj, C Kadar, B Ivan, YF Te Adjunct Proceedings of the 2015 ACM International Joint Conference on …, 2015 | 14 | 2015 |
| CityWatch: the personalized crime prevention assistant C Kadar, IP Cvijikj Proceedings of the 13th International Conference on Mobile and Ubiquitous …, 2014 | 14 | 2014 |
| Simulating offender mobility: Modeling activity nodes from large-scale human activity data R Rosés, C Kadar, C Gerritsen, OC Rouly Journal of Artificial Intelligence Research 68, 541-570, 2020 | 12 | 2020 |
| Domain adaptation for text categorization by feature labeling C Kadar, J Iria Advances in Information Retrieval: 33rd European Conference on IR Research …, 2011 | 12 | 2011 |
| Leveraging Mobility Flows from Location Technology Platforms to Test Crime Pattern Theory in Large Cities C Kadar, S Feuerriegel, A Noulas, C Mascolo Proceedings of the International AAAI Conference on Web and Social Media 14 …, 2020 | 11 | 2020 |
| Prevention or Panic: Design and Evaluation of a Crime Prevention IS I Pletikosa Cvijikj, C Kadar, B Ivan, F Te | 8 | 2015 |
| Towards a burglary risk profiler using demographic and spatial factors C Kadar, G Zanni, T Vogels, IP Cvijikj Web Information Systems Engineering–WISE 2015: 16th International Conference …, 2015 | 8 | 2015 |
| Stance Detection in German News Articles L Mascarell, T Ruzsics, C Schneebeli, P Schlattner, L Campanella, ... Proceedings of the Fourth Workshop on Fact Extraction and VERification …, 2021 | 6 | 2021 |
| Towards simulating criminal offender movement based on insights from human dynamics and location-based social networks R Rosés Brüngger, R Bader, C Kadar, I Pletikosa Social Informatics: 9th International Conference, SocInfo 2017, Oxford, UK …, 2017 | 4 | 2017 |
| Human versus technology: comparing the effect of private security patrol and crime prevention information system over the crime level and safety perception YF Te, C Kadar, R Rosés Brüngger, I Pletikosa Cvijikj ECIS 2016 Proceedings 48, 2016 | 4 | 2016 |
| Design of an Agent-Based Model to Predict Crime (WIP) R Rosés Brüngger, C Kadar, I Pletikosa Cvijikj Proceedings of the Summer Computer Simulation Conference SCSC'16, 55, 2016 | 3 | 2016 |
Irena Pletikosa CvijikjPostdoctoral Researcher, ETH ZurichVerified email at ethz.ch
