| Multi-domain information fusion for insider threat detection H Eldardiry, E Bart, J Liu, J Hanley, B Price, O Brdiczka 2013 IEEE Security and Privacy Workshops, 45-51, 2013 | 114 | 2013 |
| Learning role-based graph embeddings NK Ahmed, R Rossi, JB Lee, TL Willke, R Zhou, X Kong, H Eldardiry arXiv preprint arXiv:1802.02896, 2018 | 81 | 2018 |
| COVID-19 pandemic impacts on traffic system delay, fuel consumption and emissions J Du, HA Rakha, F Filali, H Eldardiry International Journal of Transportation Science and Technology 10 (2), 184-196, 2021 | 67 | 2021 |
| Detecting anomalies in work practice data by combining multiple domains of information E Bart, JJ Liu, HMA Eldardiry, RR Price US Patent 9,264,442, 2016 | 63 | 2016 |
| Role-based graph embeddings N Ahmed, RA Rossi, J Lee, T Willke, R Zhou, X Kong, H Eldardiry IEEE Transactions on Knowledge and Data Engineering, 2020 | 52 | 2020 |
| role2vec: Role-based network embeddings NK Ahmed, RA Rossi, JB Lee, TL Willke, R Zhou, X Kong, H Eldardiry Proc. DLG KDD, 1-7, 2019 | 47 | 2019 |
| Across-model collective ensemble classification H Eldardiry, J Neville Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011 | 46 | 2011 |
| Multi-source fusion for anomaly detection: using across-domain and across-time peer-group consistency checks. H Eldardiry, K Sricharan, J Liu, J Hanley, B Price, O Brdiczka, E Bart J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 5 (2), 39-58, 2014 | 38 | 2014 |
| Computer-implemented system and method for detecting anomalies using sample-based rule identification H Eldardiry, SKP Kumar, DH Greene, R Price US Patent 10,140,576, 2018 | 35 | 2018 |
| Towards a mobile and wearable system for predicting panic attacks J Rubin, H Eldardiry, R Abreu, S Ahern, H Du, A Pattekar, DG Bobrow Proceedings of the 2015 ACM International Joint Conference on Pervasive and …, 2015 | 34 | 2015 |
| A wearable and mobile intervention delivery system for individuals with panic disorder L Cruz, J Rubin, R Abreu, S Ahern, H Eldardiry, DG Bobrow Proceedings of the 14th International Conference on Mobile and Ubiquitous …, 2015 | 33 | 2015 |
| System and method for modeling behavior change and consistency to detect malicious insiders HMA Eldardiry, E Bart, JJ Liu, RR Price, J Hanley, O Brdiczka US Patent App. 14/183,298, 2015 | 31 | 2015 |
| Device health estimation by combining contextual information with sensor data HMA Eldardiry, L Liao, T Honda, B Saha, R Abreu US Patent 10,078,062, 2018 | 29* | 2018 |
| Provenance Segmentation. R Abreu, D Archer, E Chapman, J Cheney, H Eldardiry, A Gascón TaPP, 2016 | 23* | 2016 |
| Inductive representation learning in large attributed graphs NK Ahmed, RA Rossi, R Zhou, JB Lee, X Kong, TL Willke, H Eldardiry arXiv preprint arXiv:1710.09471, 2017 | 22 | 2017 |
| System and method for managing coverage of parking enforcement for a neighborhood with the aid of a digital computer MJ Stefik, M Singhal, K Albanese, F Ali, EA Bier, DG Bobrow, EC Sanchez, ... US Patent 11,144,855, 2021 | 21* | 2021 |
| Method and apparatus for combining multi-dimensional fraud measurements for anomaly detection Y Zhang, JJ Liu, HMA Eldardiry US Patent App. 13/774,873, 2014 | 21* | 2014 |
| An analysis of how ensembles of collective classifiers improve predictions in graphs H Eldardiry, J Neville Proceedings of the 21st ACM international conference on information and …, 2012 | 21* | 2012 |
| A resampling technique for relational data graphs H Eldardiry, J Neville Proceedings of the 2nd SNA workshop, 14th ACM SIGKDD conference on knowledge …, 2008 | 21 | 2008 |
| Representation learning in large attributed graphs NK Ahmed, RA Rossi, R Zhou, JB Lee, X Kong, TL Willke, H Eldardiry WiML NIPS, 2017 | 20* | 2017 |
Ryan A. RossiAdobe ResearchVerified email at adobe.com
