| Predictive statistical models for user modeling I Zukerman, DW Albrecht User Modeling and User-Adapted Interaction 11, 5-18, 2001 | 502 | 2001 |
| Bayesian models for keyhole plan recognition in an adventure game DW Albrecht, I Zukerman, AE Nicholson User modeling and user-adapted interaction 8, 5-47, 1998 | 301 | 1998 |
| Predicting users’ requests on the WWW I Zukerman, DW Albrecht, AE Nicholson UM99 User Modeling: Proceedings of the Seventh International Conference, 275-284, 1999 | 286 | 1999 |
| Operator theory and harmonic analysis D Albrecht, X Duong, A McIntosh Instructional Workshop on Analysis and Geometry, Part III (Canberra, 1995 …, 1996 | 205 | 1996 |
| Isolation‐based anomaly detection using nearest‐neighbor ensembles TR Bandaragoda, KM Ting, D Albrecht, FT Liu, Y Zhu, JR Wells Computational Intelligence 34 (4), 968-998, 2018 | 170 | 2018 |
| Towards a Bayesian model for keyhole plan recognition in large domains DW Albrecht, I Zukerman, AE Nicholson, A Bud User Modeling: Proceedings of the Sixth International Conference UM97 Chia …, 1997 | 142 | 1997 |
| Efficient anomaly detection by isolation using nearest neighbour ensemble TR Bandaragoda, KM Ting, D Albrecht, FT Liu, JR Wells 2014 IEEE International conference on data mining workshop, 698-705, 2014 | 103 | 2014 |
| Pre-sending documents on the WWW: A comparative study DW Albrecht, I Zukerman, AE Nicholson IJCAI, 1274-1279, 1999 | 96 | 1999 |
| Experiments with sentence classification A Khoo, Y Marom, D Albrecht Proceedings of the Australasian Language Technology Workshop 2006, 18-25, 2006 | 94 | 2006 |
| LeSiNN: Detecting anomalies by identifying least similar nearest neighbours G Pang, KM Ting, D Albrecht 2015 IEEE international conference on data mining workshop (ICDMW), 623-630, 2015 | 76 | 2015 |
| Holomorphic functional calculi and sums of commuting opertors D Albrecht, E Franks, A McINTOSH Bulletin of the Australian Mathematical Society 58 (2), 291-305, 1998 | 27 | 1998 |
| ZERO++: Harnessing the power of zero appearances to detect anomalies in large-scale data sets G Pang, KM Ting, D Albrecht, H Jin Journal of Artificial Intelligence Research 57, 593-620, 2016 | 26 | 2016 |
| Introduction to the special issue on statistical and probabilistic methods for user modeling D Albrecht, I Zukerman User modeling and user-adapted interaction 17 (1-2), 1, 2007 | 26 | 2007 |
| Algorithms for special integrals of ordinary differential equations DW Albrecht, EL Mansfield, AE Milne Journal of Physics A: Mathematical and General 29 (5), 973, 1996 | 25 | 1996 |
| Functional calculi of commuting unbounded operators DW Albrecht Monash University, 1994 | 25 | 1994 |
| Studies to determine user requirements regarding in-home monitoring systems M Larizza, I Zukerman, F Bohnert, RA Russell, L Busija, DW Albrecht, ... User Modeling, Adaptation, and Personalization: 20th International …, 2012 | 23 | 2012 |
| ViSION: visualizing student interactions online JI Sheard, DW Albrecht, E Butbul Australian World Wide Web Conference 2005, 48-58, 2005 | 22 | 2005 |
| A Decision-theoretic Approach for Pre-sending Information on the WWW AE Nicholson, I Zukerman, DW Albrecht PRICAI’98: Topics in Artificial Intelligence: 5th Pacific Rim International …, 1998 | 21 | 1998 |
| Findings from machine learning in clinical medical imaging applications–Lessons for translation to the forensic setting CA Peña-Solórzano, DW Albrecht, RB Bassed, MD Burke, MR Dimmock Forensic Science International 316, 110538, 2020 | 18 | 2020 |
| Semi-supervised labelling of the femur in a whole-body post-mortem CT database using deep learning CA Peña-Solórzano, DW Albrecht, RB Bassed, J Gillam, PC Harris, ... Computers in Biology and Medicine 122, 103797, 2020 | 17 | 2020 |
Ann E NicholsonProfessor, Monash UniversityVerified email at monash.edu
